def make_model(images_dir=os.path.join(base_dir, 'images')):
print 'initializing the model'
start_time = datetime(2012, 9, 15, 12, 0)
mapfile = get_datafile(os.path.join(base_dir, './LongIslandSoundMap.BNA'))
gnome_map = MapFromBNA(mapfile, refloat_halflife=6) # hours
# # the image output renderer
# global renderer
# one hour timestep
model = Model(start_time=start_time,
duration=timedelta(hours=48),
time_step=3600,
map=gnome_map,
uncertain=True,
cache_enabled=True)
netcdf_file = os.path.join(base_dir, 'script_long_island.nc')
scripting.remove_netcdf(netcdf_file)
print 'adding outputters'
model.outputters += Renderer(mapfile, images_dir, size=(800, 600))
model.outputters += NetCDFOutput(netcdf_file, which_data='all')
print 'adding a spill'
spill = point_line_release_spill(num_elements=1000,
start_position=(-72.419992, 41.202120,
0.0),
release_time=start_time)
model.spills += spill
print 'adding a RandomMover:'
model.movers += RandomMover(diffusion_coef=500000, uncertain_factor=2)
print 'adding a wind mover:'
series = np.zeros((5, ), dtype=datetime_value_2d)
series[0] = (start_time, (10, 45))
series[1] = (start_time + timedelta(hours=18), (10, 90))
series[2] = (start_time + timedelta(hours=30), (10, 135))
series[3] = (start_time + timedelta(hours=42), (10, 180))
series[4] = (start_time + timedelta(hours=54), (10, 225))
wind = Wind(timeseries=series, units='m/s')
model.movers += WindMover(wind)
print 'adding a cats mover:'
curr_file = get_datafile(os.path.join(base_dir, r"./LI_tidesWAC.CUR"))
tide_file = get_datafile(os.path.join(base_dir, r"./CLISShio.txt"))
c_mover = CatsMover(curr_file, tide=Tide(tide_file))
model.movers += c_mover
model.environment += c_mover.tide
print 'viewport is:', [
o.viewport for o in model.outputters if isinstance(o, Renderer)
]
return model
def make_model(images_dir=os.path.join(base_dir, 'images')):
print 'initializing the model'
start_time = datetime(2013, 1, 1, 1) # data starts at 1:00 instead of 0:00
model = Model(start_time=start_time, duration=timedelta(days=1),
time_step=900, uncertain=False)
try:
mapfile = get_datafile(os.path.join(base_dir, './pearl_harbor.bna'))
except HTTPError:
print ('Could not download Pearl Harbor data from server - '
'returning empty model')
return model
print 'adding the map'
model.map = MapFromBNA(mapfile, refloat_halflife=1) # hours
#
# Add the outputters -- render to images, and save out as netCDF
#
print 'adding renderer and netcdf output'
model.outputters += Renderer(mapfile, images_dir, size=(800, 600))
netcdf_output_file = os.path.join(base_dir, 'pearl_harbor_output.nc')
scripting.remove_netcdf(netcdf_output_file)
model.outputters += NetCDFOutput(netcdf_output_file, which_data='all')
# #
# # Set up the movers:
# #
print 'adding a random mover:'
model.movers += RandomMover(diffusion_coef=10000)
print 'adding a wind mover:'
series = np.zeros((3, ), dtype=datetime_value_2d)
series[0] = (start_time, (4, 180))
series[1] = (start_time + timedelta(hours=12), (2, 270))
series[2] = (start_time + timedelta(hours=24), (4, 180))
w_mover = WindMover(Wind(timeseries=series, units='knots'))
model.movers += w_mover
model.environment += w_mover.wind
print 'adding a current mover:'
# this is CH3D currents
curr_file = os.path.join(base_dir, r"./ch3d2013.nc")
topology_file = os.path.join(base_dir, r"./PearlHarborTop.dat")
model.movers += GridCurrentMover(curr_file, topology_file)
# #
# # Add a spill (sources of elements)
# #
print 'adding spill'
model.spills += point_line_release_spill(num_elements=1000,
start_position=(-157.97064,
21.331524, 0.0),
release_time=start_time)
return model
def make_model(images_dir=os.path.join(base_dir, "images")):
print "initializing the model"
# set up the modeling environment
start_time = datetime(2004, 12, 31, 13, 0)
model = Model(start_time=start_time, duration=timedelta(days=3), time_step=30 * 60, uncertain=False)
print "adding the map"
model.map = GnomeMap() # this is a "water world -- no land anywhere"
# renderere is only top-down view on 2d -- but it's something
renderer = Renderer(output_dir=images_dir, size=(1024, 768), output_timestep=timedelta(hours=1))
renderer.viewport = ((-0.15, -0.35), (0.15, 0.35))
print "adding outputters"
model.outputters += renderer
# Also going to write the results out to a netcdf file
netcdf_file = os.path.join(base_dir, "script_plume.nc")
scripting.remove_netcdf(netcdf_file)
model.outputters += NetCDFOutput(
netcdf_file,
which_data="most",
# output most of the data associated with the elements
output_timestep=timedelta(hours=2),
)
print "adding Horizontal and Vertical diffusion"
# Horizontal Diffusion
# model.movers += RandomMover(diffusion_coef=5)
# vertical diffusion (different above and below the mixed layer)
model.movers += RandomVerticalMover(
vertical_diffusion_coef_above_ml=5, vertical_diffusion_coef_below_ml=0.11, mixed_layer_depth=10
)
print "adding Rise Velocity"
# droplets rise as a function of their density and radius
model.movers += RiseVelocityMover()
print "adding a circular current and eastward current"
# This is .3 m/s south
model.movers += PyGridCurrentMover(current=vg, default_num_method="Trapezoid", extrapolate=True)
model.movers += SimpleMover(velocity=(0.0, -0.1, 0.0))
# Now to add in the TAMOC "spill"
print "Adding TAMOC spill"
model.spills += tamoc_spill.TamocSpill(
release_time=start_time,
start_position=(0, 0, 1000),
num_elements=1000,
end_release_time=start_time + timedelta(days=1),
name="TAMOC plume",
TAMOC_interval=None, # how often to re-run TAMOC
)
return model
def make_model(coor, yr, month, day, period=46, dt=900 ,opt='SUNTANS', images_dir=os.getcwd()+"/images"):
'''
Run multiple GNOME;
yr,month,day---oil spill start time;
period---oil spill simulation duration;
dt--oil spill time step in second
'''
print "initializing the model"
base_dir=os.getcwd()
#start_time = datetime(2014,8,21,0)
start_time = datetime(yr,month,day,0)
model = Model(start_time = start_time,
duration = timedelta(hours=period),
time_step =dt,
uncertain = False,
)
mapfile = os.path.join(base_dir, './coast.bna')
print "adding the map"
gnome_map = MapFromBNA(mapfile, refloat_halflife=6) # hours
print "adding renderer"
model.outputters += Renderer(mapfile, images_dir, size=(1800, 1600))
print "adding a wind mover from a time-series"
## this is wind
wind_file=get_datafile(os.path.join(base_dir, 'wind.WND'))
wind = Wind(filename=wind_file)
w_mover = WindMover(wind)
model.movers += w_mover
print "adding a current mover:"
## this is currents
curr_file = get_datafile(os.path.join(base_dir, 'current_'+opt+'.txt'))
model.movers += GridCurrentMover(curr_file)
#model.movers += RandomMover(1000)
##
## Add some spills (sources of elements)
##
print "adding 13 points in a cluster that has some small initial separation as the source of spill"
for i in range(len(coor)):
xcoor,ycoor=nctools.utmToLatLng(15,coor[i][0],coor[i][1],northernHemisphere=True)
model.spills += point_line_release_spill(num_elements=1,
start_position = (ycoor,xcoor, 0.0),
release_time = start_time,
)
print "adding netcdf output"
netcdf_output_file = os.path.join(base_dir,'GNOME_'+opt+'.nc')
scripting.remove_netcdf(netcdf_output_file)
model.outputters += NetCDFOutput(netcdf_output_file, which_data='all')
return model
def make_model(images_dir=os.path.join(base_dir, 'images')):
print 'initializing the model'
start_time = datetime(2012, 9, 15, 12, 0)
mapfile = get_datafile(os.path.join(base_dir, 'LongIslandSoundMap.BNA'))
gnome_map = MapFromBNA(mapfile, refloat_halflife=6) # hours
# # the image output renderer
# global renderer
# one hour timestep
model = Model(start_time=start_time,
duration=timedelta(hours=48), time_step=3600,
map=gnome_map, uncertain=True, cache_enabled=True)
print 'adding outputters'
model.outputters += Renderer(mapfile, images_dir, size=(800, 600))
netcdf_file = os.path.join(base_dir, 'script_long_island.nc')
scripting.remove_netcdf(netcdf_file)
model.outputters += NetCDFOutput(netcdf_file, which_data='all')
print 'adding a spill'
spill = point_line_release_spill(num_elements=1000,
start_position=(-72.419992,
41.202120, 0.0),
release_time=start_time)
model.spills += spill
print 'adding a RandomMover:'
model.movers += RandomMover(diffusion_coef=500000, uncertain_factor=2)
print 'adding a wind mover:'
series = np.zeros((5, ), dtype=datetime_value_2d)
series[0] = (start_time, (10, 45))
series[1] = (start_time + timedelta(hours=18), (10, 90))
series[2] = (start_time + timedelta(hours=30), (10, 135))
series[3] = (start_time + timedelta(hours=42), (10, 180))
series[4] = (start_time + timedelta(hours=54), (10, 225))
wind = Wind(timeseries=series, units='m/s')
model.movers += WindMover(wind)
print 'adding a cats mover:'
curr_file = get_datafile(os.path.join(base_dir, 'LI_tidesWAC.CUR'))
tide_file = get_datafile(os.path.join(base_dir, 'CLISShio.txt'))
c_mover = CatsMover(curr_file, tide=Tide(tide_file))
model.movers += c_mover
model.environment += c_mover.tide
print 'viewport is:', [o.viewport
for o in model.outputters
if isinstance(o, Renderer)]
return model
def make_model(images_dir=os.path.join(base_dir, 'images')):
print 'creating the maps'
mapfile = get_datafile(os.path.join(base_dir, 'LowerMississippiMap.bna'))
gnome_map = MapFromBNA(mapfile, refloat_halflife=6) # hours
print 'initializing the model'
start_time = datetime(2012, 9, 15, 12, 0)
# default to now, rounded to the nearest hour
model = Model(time_step=600,
start_time=start_time,
duration=timedelta(days=1),
map=gnome_map,
uncertain=True)
print 'adding outputters'
model.outputters += Renderer(mapfile, images_dir, image_size=(800, 600))
netcdf_file = os.path.join(base_dir, 'script_lower_mississippi.nc')
scripting.remove_netcdf(netcdf_file)
model.outputters += NetCDFOutput(netcdf_file, which_data='all')
print 'adding a RandomMover:'
model.movers += RandomMover(diffusion_coef=10000)
print 'adding a wind mover:'
series = np.zeros((5, ), dtype=datetime_value_2d)
series[0] = (start_time, (2, 45))
series[1] = (start_time + timedelta(hours=18), (2, 90))
series[2] = (start_time + timedelta(hours=30), (2, 135))
series[3] = (start_time + timedelta(hours=42), (2, 180))
series[4] = (start_time + timedelta(hours=54), (2, 225))
w_mover = WindMover(Wind(timeseries=series, units='m/s'))
model.movers += w_mover
print 'adding a cats mover:'
curr_file = get_datafile(os.path.join(base_dir, 'LMiss.CUR'))
c_mover = CatsMover(curr_file)
# but do need to scale (based on river stage)
c_mover.scale = True
c_mover.scale_refpoint = (-89.699944, 29.494558)
# based on stage height 10ft (range is 0-18)
c_mover.scale_value = 1.027154
model.movers += c_mover
print 'adding a spill'
spill = point_line_release_spill(num_elements=1000,
start_position=(-89.699944, 29.494558,
0.0),
release_time=start_time)
model.spills += spill
return model
def make_model(images_dir=os.path.join(base_dir, 'images')):
print 'creating the maps'
mapfile = get_datafile(os.path.join(base_dir, 'LowerMississippiMap.bna'))
gnome_map = MapFromBNA(mapfile, refloat_halflife=6) # hours
print 'initializing the model'
start_time = datetime(2012, 9, 15, 12, 0)
# default to now, rounded to the nearest hour
model = Model(time_step=600, start_time=start_time,
duration=timedelta(days=1),
map=gnome_map, uncertain=True)
print 'adding outputters'
model.outputters += Renderer(mapfile, images_dir, size=(800, 600))
netcdf_file = os.path.join(base_dir, 'script_lower_mississippi.nc')
scripting.remove_netcdf(netcdf_file)
model.outputters += NetCDFOutput(netcdf_file, which_data='all')
print 'adding a RandomMover:'
model.movers += RandomMover(diffusion_coef=10000)
print 'adding a wind mover:'
series = np.zeros((5, ), dtype=datetime_value_2d)
series[0] = (start_time, (2, 45))
series[1] = (start_time + timedelta(hours=18), (2, 90))
series[2] = (start_time + timedelta(hours=30), (2, 135))
series[3] = (start_time + timedelta(hours=42), (2, 180))
series[4] = (start_time + timedelta(hours=54), (2, 225))
w_mover = WindMover(Wind(timeseries=series, units='m/s'))
model.movers += w_mover
print 'adding a cats mover:'
curr_file = get_datafile(os.path.join(base_dir, 'LMiss.CUR'))
c_mover = CatsMover(curr_file)
# but do need to scale (based on river stage)
c_mover.scale = True
c_mover.scale_refpoint = (-89.699944, 29.494558)
# based on stage height 10ft (range is 0-18)
c_mover.scale_value = 1.027154
model.movers += c_mover
print 'adding a spill'
spill = point_line_release_spill(num_elements=1000,
start_position=(-89.699944, 29.494558,
0.0),
release_time=start_time)
model.spills += spill
return model
def make_model(images_dir=os.path.join(base_dir, 'images')):
print 'initializing the model'
start_time = datetime(2006, 3, 31, 20, 0)
model = Model(start_time=start_time,
duration=timedelta(days=3),
time_step=30 * 60,
uncertain=True)
print 'adding the map'
mapfile = get_datafile(os.path.join(base_dir, 'coastSF.bna'))
model.map = MapFromBNA(mapfile, refloat_halflife=1) # seconds
renderer = Renderer(mapfile,
images_dir,
image_size=(800, 600),
draw_ontop='forecast')
renderer.viewport = ((-124.5, 37.), (-120.5, 39))
print 'adding outputters'
model.outputters += renderer
netcdf_file = os.path.join(base_dir, 'script_sf_bay.nc')
scripting.remove_netcdf(netcdf_file)
model.outputters += NetCDFOutput(netcdf_file, which_data='all')
print 'adding a spill'
spill = point_line_release_spill(
num_elements=1000,
start_position=(-123.57152, 37.369436, 0.0),
release_time=start_time,
substance=NonWeatheringSubstance(windage_range=(0.01, .04))
#element_type=floating(windage_range=(0.01,
# 0.04)
# )
)
model.spills += spill
# print 'adding a RandomMover:'
# r_mover = gnome.movers.RandomMover(diffusion_coef=50000)
# model.movers += r_mover
print 'adding a grid wind mover:'
wind_file = get_datafile(os.path.join(base_dir, 'WindSpeedDirSubset.nc'))
topology_file = get_datafile(
os.path.join(base_dir, 'WindSpeedDirSubsetTop.dat'))
w_mover = GridWindMover(wind_file, topology_file)
# w_mover.uncertain_time_delay = 6
# w_mover.uncertain_duration = 6
w_mover.uncertain_speed_scale = 1
w_mover.uncertain_angle_scale = 0.2 # default is .4
w_mover.wind_scale = 2
model.movers += w_mover
return model
def make_model(images_dir=os.path.join(base_dir, 'images')):
print 'initializing the model'
start_time = datetime(2006, 3, 31, 20, 0)
model = Model(start_time=start_time,
duration=timedelta(days=3), time_step=30 * 60,
uncertain=True)
print 'adding the map'
mapfile = get_datafile(os.path.join(base_dir, './coastSF.bna'))
model.map = MapFromBNA(mapfile, refloat_halflife=1) # seconds
renderer = Renderer(mapfile, images_dir, size=(800, 600),
draw_ontop='forecast')
renderer.viewport = ((-124.5, 37.), (-120.5, 39))
print 'adding outputters'
model.outputters += renderer
netcdf_file = os.path.join(base_dir, 'script_sf_bay.nc')
scripting.remove_netcdf(netcdf_file)
model.outputters += NetCDFOutput(netcdf_file, which_data='all')
print 'adding a spill'
spill = point_line_release_spill(num_elements=1000,
start_position=(-123.57152, 37.369436,
0.0),
release_time=start_time,
element_type=floating(windage_range=(0.01,
0.04)
)
)
model.spills += spill
# print 'adding a RandomMover:'
# r_mover = gnome.movers.RandomMover(diffusion_coef=50000)
# model.movers += r_mover
print 'adding a grid wind mover:'
wind_file = get_datafile(os.path.join(base_dir, r"./WindSpeedDirSubset.nc")
)
topology_file = get_datafile(os.path.join(base_dir,
r"./WindSpeedDirSubsetTop.dat"))
w_mover = GridWindMover(wind_file, topology_file)
#w_mover.uncertain_time_delay = 6
#w_mover.uncertain_duration = 6
w_mover.uncertain_speed_scale = 1
w_mover.uncertain_angle_scale = 0.2 # default is .4
w_mover.wind_scale = 2
model.movers += w_mover
return model
def make_model(images_dir=os.path.join(base_dir, "images")):
print "initializing the model"
start_time = datetime(2006, 3, 31, 21, 0)
model = gnome.model.Model(
start_time=start_time, duration=timedelta(days=3), time_step=30 * 60, uncertain=True
) # 1 day of data in file
# 1/2 hr in seconds
mapfile = get_datafile(os.path.join(base_dir, "./coastSF.bna"))
print "adding the map"
model.map = gnome.map.MapFromBNA(mapfile, refloat_halflife=1) # seconds
renderer = gnome.renderer.Renderer(mapfile, images_dir, size=(800, 600))
renderer.viewport = ((-124.5, 37.0), (-120.5, 39))
print "adding outputters"
model.outputters += renderer
netcdf_file = os.path.join(base_dir, "script_sf_bay.nc")
scripting.remove_netcdf(netcdf_file)
model.outputters += gnome.netcdf_outputter.NetCDFOutput(netcdf_file, all_data=True)
print "adding a spill"
spill = gnome.spill.PointLineSource(
num_elements=1000,
start_position=(-123.57152, 37.369436, 0.0),
release_time=start_time,
windage_range=(0.3, 0.3),
)
model.spills += spill
# print 'adding a RandomMover:'
# r_mover = gnome.movers.RandomMover(diffusion_coef=50000)
# model.movers += r_mover
#
print "adding a grid wind mover:"
wind_file = get_datafile(os.path.join(base_dir, r"./WindSpeedDirSubset.nc"))
topology_file = get_datafile(os.path.join(base_dir, r"./WindSpeedDirSubsetTop.dat"))
w_mover = gnome.movers.GridWindMover(wind_file, topology_file)
# w_mover.uncertain_time_delay=6
# w_mover.uncertain_duration=6
w_mover.uncertain_speed_scale = 0.5
w_mover.set_uncertain_angle(0, "rad") # default is .4
model.movers += w_mover
return model
def make_model(images_dir=os.path.join(base_dir,"images")):
print "initializing the model"
start_time = datetime(2013, 7, 23, 0)
model = Model(start_time = start_time,
duration = timedelta(hours=47), # n+1 of data in file
time_step = 900, # 4 hr in seconds
uncertain = False,
)
mapfile = os.path.join(base_dir, './coast.bna')
print "adding the map"
gnome_map = MapFromBNA(mapfile, refloat_halflife=6) # hours
print "adding renderer"
model.outputters += Renderer(mapfile, images_dir, size=(1800, 1600))
print "adding a wind mover from a time-series"
## this is wind
wind_file=get_datafile(os.path.join(base_dir, 'wind.WND'))
wind = Wind(filename=wind_file)
w_mover = WindMover(wind)
model.movers += w_mover
print "adding a current mover:"
## this is currents
curr_file = get_datafile(os.path.join(base_dir, 'current.txt'))
model.movers += GridCurrentMover(curr_file)
##
## Add some spills (sources of elements)
##
print "adding 13 points in a cluster that has some small initial separation as the source of spill"
for i in range(len(coor)):
aaa=utmToLatLng(14,coor[i][0],coor[i][1],northernHemisphere=True)
model.spills += point_line_release_spill(num_elements=1,
start_position = (aaa[1],aaa[0], 0.0),
release_time = start_time,
)
print "adding netcdf output"
netcdf_output_file = os.path.join(base_dir,'GNOME_output.nc')
scripting.remove_netcdf(netcdf_output_file)
model.outputters += NetCDFOutput(netcdf_output_file, which_data='all')
return model
def make_modelF(timeStep, start_time, duration, weatheringSteps, map, uncertain, data_path, curr_path, wind_path, map_path, reFloatHalfLife, windFile, currFile, num_elements, depths, lat, lon, output_path, wind_scale, save_nc, timestep_outputs, weatherers, td, dif_coef,temp_water):
print 'initializing the model:'
model = Model(time_step=timeStep, start_time=start_time, duration=duration, uncertain=uncertain)
print 'adding the map:'
mapfile = get_datafile(os.path.join(data_path, map_path, map))
model.map = MapFromBNA(mapfile, refloat_halflife=reFloatHalfLife)
print 'adding a renderer'
if save_nc:
scripting.remove_netcdf(output_path+'/'+'output.nc')
nc_outputter = NetCDFOutput(output_path+'/'+'output.nc', which_data='standard', output_timestep=timedelta(hours=timestep_outputs))
model.outputters += nc_outputter
print 'adding a wind mover:'
wind_file = get_datafile(os.path.join(data_path, wind_path, windFile))
wind = GridWindMover(wind_file)
# wind.wind_scale = wind_scale
model.movers += wind
print 'adding a current mover:'
curr_file = get_datafile(os.path.join(data_path, curr_path, currFile))
model.movers += GridCurrentMover(curr_file, num_method='RK4')
if td:
random_mover = RandomMover(diffusion_coef=dif_coef)
model.movers += random_mover
print 'adding spill'
model.spills += point_line_release_spill(num_elements=num_elements, start_position=(lon, lat, 0), release_time=start_time, end_release_time=start_time + duration)#, substance='AD04001', amount=9600000, units='kg')
if weatherers:
print 'adding weatherers'
water = Water(temp_water)
wind = constant_wind(0.0001, 0, 'knots')
waves = Waves(wind, water)
model.weatherers += Evaporation(water, wind)
# model.weatherers += Emulsification(waves)
model.weatherers += NaturalDispersion(waves, water)
return model
def make_model(images_dir=os.path.join(base_dir, 'images')):
print 'initializing the model'
start_time = datetime(2004, 12, 31, 13, 0)
model = Model(start_time=start_time,
duration=timedelta(days=3),
time_step=30 * 60,
uncertain=False)
print 'adding the map'
model.map = GnomeMap()
# draw_ontop can be 'uncertain' or 'forecast'
# 'forecast' LEs are in black, and 'uncertain' are in red
# default is 'forecast' LEs draw on top
renderer = Renderer(
output_dir=images_dir,
# size=(800, 600),
output_timestep=timedelta(hours=1),
draw_ontop='uncertain')
renderer.viewport = ((-76.5, 37.), (-75.8, 38.))
print 'adding outputters'
model.outputters += renderer
netcdf_file = os.path.join(base_dir, 'script_plume.nc')
scripting.remove_netcdf(netcdf_file)
model.outputters += NetCDFOutput(netcdf_file,
which_data='most',
output_timestep=timedelta(hours=2))
print 'adding two spills'
# Break the spill into two spills, first with the larger droplets
# and second with the smaller droplets.
# Split the total spill volume (100 m^3) to have most
# in the larger droplet spill.
# Smaller droplets start at a lower depth than larger
wd = WeibullDistribution(alpha=1.8, lambda_=.00456,
min_=.0002) # 200 micron min
end_time = start_time + timedelta(hours=24)
# spill = point_line_release_spill(num_elements=10,
# amount=90, # default volume_units=m^3
# units='m^3',
# start_position=(-76.126872, 37.680952,
# 1700),
# release_time=start_time,
# end_release_time=end_time,
# element_type=plume(distribution=wd,
# density=600)
# )
spill = subsurface_plume_spill(
num_elements=10,
start_position=(-76.126872, 37.680952, 1700),
release_time=start_time,
distribution=wd,
amount=90, # default volume_units=m^3
units='m^3',
end_release_time=end_time,
density=600)
model.spills += spill
wd = WeibullDistribution(alpha=1.8, lambda_=.00456,
max_=.0002) # 200 micron max
spill = point_line_release_spill(
num_elements=10,
amount=90,
units='m^3',
start_position=(-76.126872, 37.680952, 1800),
release_time=start_time,
element_type=plume(distribution=wd, substance_name='oil_crude'))
model.spills += spill
print 'adding a RandomMover:'
model.movers += RandomMover(diffusion_coef=50000)
print 'adding a RiseVelocityMover:'
model.movers += RiseVelocityMover()
print 'adding a RandomVerticalMover:'
model.movers += RandomVerticalMover(vertical_diffusion_coef_above_ml=5,
vertical_diffusion_coef_below_ml=.11,
mixed_layer_depth=10)
# print 'adding a wind mover:'
# series = np.zeros((2, ), dtype=gnome.basic_types.datetime_value_2d)
# series[0] = (start_time, (30, 90))
# series[1] = (start_time + timedelta(hours=23), (30, 90))
# wind = Wind(timeseries=series, units='knot')
#
# default is .4 radians
# w_mover = gnome.movers.WindMover(wind, uncertain_angle_scale=0)
#
# model.movers += w_mover
print 'adding a simple mover:'
s_mover = SimpleMover(velocity=(0.0, -.3, 0.0))
model.movers += s_mover
return model
def make_model(images_dir=os.path.join(base_dir, 'images')):
print 'initializing the model'
start_time = datetime(2014, 6, 9, 0, 0)
mapfile = get_datafile(os.path.join(base_dir, 'PassamaquoddyMap.bna'))
gnome_map = MapFromBNA(mapfile, refloat_halflife=1) # hours
# # the image output renderer
# global renderer
# one hour timestep
model = Model(start_time=start_time,
duration=timedelta(hours=24), time_step=360,
map=gnome_map, uncertain=False, cache_enabled=True)
print 'adding outputters'
renderer = Renderer(mapfile, images_dir, size=(800, 600),
# output_timestep=timedelta(hours=1),
draw_ontop='uncertain')
renderer.viewport = ((-67.15, 45.), (-66.9, 45.2))
model.outputters += renderer
netcdf_file = os.path.join(base_dir, 'script_passamaquoddy.nc')
scripting.remove_netcdf(netcdf_file)
model.outputters += NetCDFOutput(netcdf_file, which_data='all')
print 'adding a spill'
spill = point_line_release_spill(num_elements=1000,
start_position=(-66.991344, 45.059316,
0.0),
release_time=start_time)
model.spills += spill
print 'adding a RandomMover:'
model.movers += RandomMover(diffusion_coef=30000, uncertain_factor=2)
print 'adding a wind mover:'
series = np.zeros((5, ), dtype=datetime_value_2d)
series[0] = (start_time, (5, 90))
series[1] = (start_time + timedelta(hours=18), (5, 180))
series[2] = (start_time + timedelta(hours=30), (5, 135))
series[3] = (start_time + timedelta(hours=42), (5, 180))
series[4] = (start_time + timedelta(hours=54), (5, 225))
wind = Wind(timeseries=series, units='m/s')
model.movers += WindMover(wind)
print 'adding a current mover:'
curr_file = get_datafile(os.path.join(base_dir, 'PQBayCur.nc4'))
topology_file = get_datafile(os.path.join(base_dir, 'PassamaquoddyTOP.dat')
)
tide_file = get_datafile(os.path.join(base_dir, 'EstesHead.txt'))
cc_mover = CurrentCycleMover(curr_file, topology_file,
tide=Tide(tide_file))
model.movers += cc_mover
model.environment += cc_mover.tide
print 'viewport is:', [o.viewport
for o in model.outputters
if isinstance(o, Renderer)]
return model
def make_model(images_dir=os.path.join(base_dir, 'images')):
print 'initializing the model'
start_time = datetime(1985, 1, 1, 13, 31)
# 1 day of data in file
# 1/2 hr in seconds
model = Model(start_time=start_time,
duration=timedelta(days=4),
time_step=7200)
# mapfile = get_datafile(os.path.join(base_dir, 'ak_arctic.bna'))
mapfile = get_datafile('arctic_coast3.bna')
print 'adding the map'
model.map = MapFromBNA(mapfile, refloat_halflife=0.0) # seconds
print 'adding a spill'
# for now subsurface spill stays on initial layer
# - will need diffusion and rise velocity
# - wind doesn't act
# - start_position = (-76.126872, 37.680952, 5.0),
# spill1 = point_line_release_spill(num_elements=10000,
# start_position=(-163.75,
# 69.75,
# 0.0),
# release_time=start_time)
#
spill1 = point_line_release_spill(num_elements=50000,
start_position=(196.25, 69.75, 0.0),
release_time=start_time)
model.spills += spill1
# model.spills += spill2
print 'adding a wind mover:'
# model.movers += constant_wind_mover(0.5, 0, units='m/s')
print 'adding a current mover:'
fn = ['arctic_avg2_0001_gnome.nc', 'arctic_avg2_0002_gnome.nc']
# fn = ['C:\\Users\\jay.hennen\\Documents\\Code\\pygnome\\py_gnome\\scripts\\script_TAP\\arctic_avg2_0001_gnome.nc',
# 'C:\\Users\\jay.hennen\\Documents\\Code\\pygnome\\py_gnome\\scripts\\script_TAP\\arctic_avg2_0002_gnome.nc']
gt = {'node_lon': 'lon', 'node_lat': 'lat'}
# fn='arctic_avg2_0001_gnome.nc'
wind_method = 'Euler'
method = 'RK2'
print 'adding outputters'
# draw_ontop can be 'uncertain' or 'forecast'
# 'forecast' LEs are in black, and 'uncertain' are in red
# default is 'forecast' LEs draw on top
renderer = Renderer(mapfile, images_dir, image_size=(1024, 768))
model.outputters += renderer
netcdf_file = os.path.join(base_dir,
str(model.time_step / 60) + method + '.nc')
scripting.remove_netcdf(netcdf_file)
print 'adding movers'
model.outputters += NetCDFOutput(netcdf_file, which_data='all')
print 'loading entire current data'
ice_aware_curr = IceAwareCurrent.from_netCDF(filename=fn, grid_topology=gt)
# env1 = get_env_from_netCDF(filename)
# mov = PyCurrentMover.from_netCDF(filename)
ice_aware_curr.ice_velocity.variables[0].dimension_ordering = [
'time', 'x', 'y'
]
ice_aware_wind = IceAwareWind.from_netCDF(
filename=fn,
ice_velocity=ice_aware_curr.ice_velocity,
ice_concentration=ice_aware_curr.ice_concentration,
grid=ice_aware_curr.grid)
curr = GridCurrent.from_netCDF(filename=fn)
# GridCurrent.is_gridded()
# import pprint as pp
# from gnome.utilities.orderedcollection import OrderedCollection
# model.environment = OrderedCollection(dtype=Environment)
# model.environment.add(ice_aware_curr)
# from gnome.environment import WindTS
print 'loading entire wind data'
# i_c_mover = PyCurrentMover(current=ice_aware_curr)
# i_c_mover = PyCurrentMover(current=ice_aware_curr, default_num_method='Euler')
i_c_mover = PyCurrentMover(current=ice_aware_curr,
default_num_method=method,
extrapolate=True)
i_w_mover = PyWindMover(wind=ice_aware_wind,
default_num_method=wind_method)
# ice_aware_curr.grid.node_lon = ice_aware_curr.grid.node_lon[:]-360
# ice_aware_curr.grid.build_celltree()
model.movers += i_c_mover
model.movers += i_w_mover
print 'adding an IceAwareRandomMover:'
model.movers += IceAwareRandomMover(
ice_concentration=ice_aware_curr.ice_concentration,
diffusion_coef=1000)
# renderer.add_grid(ice_aware_curr.grid)
# renderer.add_vec_prop(ice_aware_curr)
# curr_file = get_datafile(os.path.join(base_dir, 'COOPSu_CREOFS24.nc'))
# c_mover = GridCurrentMover(curr_file)
# model.movers += c_mover
# model.environment.add(WindTS.constant(10, 300))
# print('Saving')
# model.environment[0].ice_velocity.variables[0].serialize()
# IceVelocity.deserialize(model.environment[0].ice_velocity.serialize())
# model.save('.')
# from gnome.persist.save_load import load
# print('Loading')
# model2 = load('./Model.zip')
return model
def make_model(images_dir=os.path.join(base_dir, 'images')):
print 'initializing the model'
start_time = datetime(2015, 5, 14, 0, 0)
# 1 day of data in file
# 1/2 hr in seconds
model = Model(start_time=start_time,
duration=timedelta(days=1.75),
time_step=60 * 60,
uncertain=True)
# mapfile = get_datafile(os.path.join(base_dir, './ak_arctic.bna'))
#
# print 'adding the map'
# model.map = MapFromBNA(mapfile, refloat_halflife=1) # seconds
#
# # draw_ontop can be 'uncertain' or 'forecast'
# # 'forecast' LEs are in black, and 'uncertain' are in red
# # default is 'forecast' LEs draw on top
# renderer = Renderer(mapfile, images_dir, size=(800, 600),
# output_timestep=timedelta(hours=2),
# draw_ontop='forecast')
#
# print 'adding outputters'
# model.outputters += renderer
model.outputters += WeatheringOutput()
netcdf_file = os.path.join(base_dir, 'script_weatherers.nc')
scripting.remove_netcdf(netcdf_file)
model.outputters += NetCDFOutput(netcdf_file,
which_data='all',
output_timestep=timedelta(hours=1))
print 'adding a spill'
# for now subsurface spill stays on initial layer
# - will need diffusion and rise velocity
# - wind doesn't act
# - start_position = (-76.126872, 37.680952, 5.0),
end_time = start_time + timedelta(hours=24)
spill = point_line_release_spill(
num_elements=100,
start_position=(-164.791878561, 69.6252597267, 0.0),
release_time=start_time,
end_release_time=end_time,
amount=1000,
substance='ALASKA NORTH SLOPE (MIDDLE PIPELINE)',
units='bbl')
# set bullwinkle to .303 to cause mass goes to zero bug at 24 hours (when continuous release ends)
spill.element_type._substance._bullwinkle = .303
model.spills += spill
print 'adding a RandomMover:'
#model.movers += RandomMover(diffusion_coef=50000)
print 'adding a wind mover:'
series = np.zeros((2, ), dtype=datetime_value_2d)
series[0] = (start_time, (20, 0))
series[1] = (start_time + timedelta(hours=23), (20, 0))
wind2 = Wind(timeseries=series, units='knot')
w_mover = WindMover(wind)
model.movers += w_mover
print 'adding weatherers and cleanup options:'
# define skimmer/burn cleanup options
skim1_start = start_time + timedelta(hours=15.58333)
skim2_start = start_time + timedelta(hours=16)
units = spill.units
skimmer1 = Skimmer(80,
units=units,
efficiency=0.36,
active_start=skim1_start,
active_stop=skim1_start + timedelta(hours=8))
skimmer2 = Skimmer(120,
units=units,
efficiency=0.2,
active_start=skim2_start,
active_stop=skim2_start + timedelta(hours=12))
burn_start = start_time + timedelta(hours=36)
burn = Burn(1000., .1, active_start=burn_start, efficiency=.2)
chem_start = start_time + timedelta(hours=24)
c_disp = ChemicalDispersion(0.5,
efficiency=0.4,
active_start=chem_start,
active_stop=chem_start + timedelta(hours=8))
model.environment += [Water(280.928), wind, waves]
model.weatherers += Evaporation(water, wind)
model.weatherers += Emulsification(waves)
model.weatherers += NaturalDispersion(waves, water)
model.weatherers += skimmer1
model.weatherers += skimmer2
model.weatherers += burn
model.weatherers += c_disp
return model
def make_model(images_dir=os.path.join(base_dir, 'images')):
print 'initializing the model'
start_time = datetime(1985, 1, 1, 13, 31)
# 1 day of data in file
# 1/2 hr in seconds
model = Model(start_time=start_time,
duration=timedelta(days=4),
time_step=3600)
# mapfile = get_datafile(os.path.join(base_dir, 'ak_arctic.bna'))
mapfile = get_datafile('arctic_coast3.bna')
print 'adding the map'
model.map = MapFromBNA(mapfile, refloat_halflife=0.0) # seconds
print 'adding a spill'
# for now subsurface spill stays on initial layer
# - will need diffusion and rise velocity
# - wind doesn't act
# - start_position = (-76.126872, 37.680952, 5.0),
# spill1 = point_line_release_spill(num_elements=10000,
# start_position=(-163.75,
# 69.75,
# 0.0),
# release_time=start_time)
#
spill1 = point_line_release_spill(num_elements=50000,
start_position=(196.25,
69.75,
0.0),
release_time=start_time)
model.spills += spill1
# model.spills += spill2
print 'adding a wind mover:'
# model.movers += constant_wind_mover(0.5, 0, units='m/s')
print 'adding a current mover:'
fn = ['arctic_avg2_0001_gnome.nc',
'arctic_avg2_0002_gnome.nc']
gt = {'node_lon': 'lon',
'node_lat': 'lat'}
# fn='arctic_avg2_0001_gnome.nc'
wind_method = 'Euler'
method = 'Trapezoid'
print 'adding outputters'
# draw_ontop can be 'uncertain' or 'forecast'
# 'forecast' LEs are in black, and 'uncertain' are in red
# default is 'forecast' LEs draw on top
# renderer = Renderer(mapfile, images_dir, image_size=(1024, 768))
# model.outputters += renderer
netcdf_file = os.path.join(base_dir, str(model.time_step / 60) + method + '.nc')
scripting.remove_netcdf(netcdf_file)
print 'adding movers'
model.outputters += NetCDFOutput(netcdf_file, which_data='all')
load = False
print 'loading entire current data'
ice_aware_curr = IceAwareCurrent.from_netCDF(filename=fn,
grid_topology=gt,
load_all=load)
print 'loading entire wind data'
ice_aware_wind = IceAwareWind.from_netCDF(filename=fn,
ice_var=ice_aware_curr.ice_var,
ice_conc_var=ice_aware_curr.ice_conc_var,
grid=ice_aware_curr.grid,
load_all=load)
# i_c_mover = PyGridCurrentMover(current=ice_aware_curr)
# i_c_mover = PyGridCurrentMover(current=ice_aware_curr, default_num_method='Euler')
i_c_mover = PyGridCurrentMover(current=ice_aware_curr, default_num_method=method, extrapolate=True)
i_w_mover = PyWindMover(wind=ice_aware_wind, default_num_method=wind_method)
# ice_aware_curr.grid.node_lon = ice_aware_curr.grid.node_lon[:]-360
# ice_aware_curr.grid.build_celltree()
model.movers += i_c_mover
model.movers += i_w_mover
print 'adding an IceAwareRandomMover:'
model.movers += IceAwareRandomMover(ice_conc_var=ice_aware_curr.ice_conc_var,
diffusion_coef=1000)
# renderer.add_grid(ice_aware_curr.grid)
# renderer.add_vec_prop(ice_aware_curr)
# renderer.set_viewport(((-190.9, 60), (-72, 89)))
# curr_file = get_datafile(os.path.join(base_dir, 'COOPSu_CREOFS24.nc'))
# c_mover = GridCurrentMover(curr_file)
# model.movers += c_mover
return model
def make_model(images_dir=os.path.join(base_dir, 'images')):
print 'initializing the model'
start_time = datetime(1985, 1, 1, 13, 31)
# 1 day of data in file
# 1/2 hr in seconds
model = Model(start_time=start_time,
duration=timedelta(days=4),
time_step=7200)
# mapfile = get_datafile(os.path.join(base_dir, 'ak_arctic.bna'))
mapfile = get_datafile('arctic_coast3.bna')
print 'adding the map'
model.map = MapFromBNA(mapfile, refloat_halflife=0.0) # seconds
print 'adding a spill'
# for now subsurface spill stays on initial layer
# - will need diffusion and rise velocity
# - wind doesn't act
# - start_position = (-76.126872, 37.680952, 5.0),
# spill1 = point_line_release_spill(num_elements=10000,
# start_position=(-163.75,
# 69.75,
# 0.0),
# release_time=start_time)
#
spill1 = point_line_release_spill(num_elements=50000,
start_position=(196.25,
69.75,
0.0),
release_time=start_time)
model.spills += spill1
# model.spills += spill2
print 'adding a wind mover:'
# model.movers += constant_wind_mover(0.5, 0, units='m/s')
print 'adding a current mover:'
fn = ['arctic_avg2_0001_gnome.nc',
'arctic_avg2_0002_gnome.nc']
# fn = ['C:\\Users\\jay.hennen\\Documents\\Code\\pygnome\\py_gnome\\scripts\\script_TAP\\arctic_avg2_0001_gnome.nc',
# 'C:\\Users\\jay.hennen\\Documents\\Code\\pygnome\\py_gnome\\scripts\\script_TAP\\arctic_avg2_0002_gnome.nc']
gt = {'node_lon': 'lon',
'node_lat': 'lat'}
# fn='arctic_avg2_0001_gnome.nc'
wind_method = 'Euler'
method = 'RK2'
print 'adding outputters'
# draw_ontop can be 'uncertain' or 'forecast'
# 'forecast' LEs are in black, and 'uncertain' are in red
# default is 'forecast' LEs draw on top
renderer = Renderer(mapfile, images_dir, image_size=(1024, 768))
model.outputters += renderer
netcdf_file = os.path.join(base_dir, str(model.time_step / 60) + method + '.nc')
scripting.remove_netcdf(netcdf_file)
print 'adding movers'
model.outputters += NetCDFOutput(netcdf_file, which_data='all')
print 'loading entire current data'
ice_aware_curr = IceAwareCurrent.from_netCDF(filename=fn,
grid_topology=gt)
# env1 = get_env_from_netCDF(filename)
# mov = PyCurrentMover.from_netCDF(filename)
ice_aware_curr.ice_velocity.variables[0].dimension_ordering = ['time', 'x', 'y']
ice_aware_wind = IceAwareWind.from_netCDF(filename=fn,
ice_velocity=ice_aware_curr.ice_velocity,
ice_concentration=ice_aware_curr.ice_concentration,
grid=ice_aware_curr.grid)
curr = GridCurrent.from_netCDF(filename=fn)
# GridCurrent.is_gridded()
# import pprint as pp
# from gnome.utilities.orderedcollection import OrderedCollection
# model.environment = OrderedCollection(dtype=Environment)
# model.environment.add(ice_aware_curr)
# from gnome.environment import WindTS
print 'loading entire wind data'
# i_c_mover = PyCurrentMover(current=ice_aware_curr)
# i_c_mover = PyCurrentMover(current=ice_aware_curr, default_num_method='Euler')
i_c_mover = PyCurrentMover(current=ice_aware_curr, default_num_method=method, extrapolate=True)
i_w_mover = PyWindMover(wind=ice_aware_wind, default_num_method=wind_method)
# ice_aware_curr.grid.node_lon = ice_aware_curr.grid.node_lon[:]-360
# ice_aware_curr.grid.build_celltree()
model.movers += i_c_mover
model.movers += i_w_mover
print 'adding an IceAwareRandomMover:'
model.movers += IceAwareRandomMover(ice_concentration=ice_aware_curr.ice_concentration,
diffusion_coef=1000)
# renderer.add_grid(ice_aware_curr.grid)
# renderer.add_vec_prop(ice_aware_curr)
# curr_file = get_datafile(os.path.join(base_dir, 'COOPSu_CREOFS24.nc'))
# c_mover = GridCurrentMover(curr_file)
# model.movers += c_mover
# model.environment.add(WindTS.constant(10, 300))
# print('Saving')
# model.environment[0].ice_velocity.variables[0].serialize()
# IceVelocity.deserialize(model.environment[0].ice_velocity.serialize())
# model.save('.')
# from gnome.persist.save_load import load
# print('Loading')
# model2 = load('./Model.zip')
return model
def make_model(images_dir=os.path.join(base_dir, 'images')):
# create the maps:
start_time = datetime(2013, 3, 12, 10, 0)
# 15 minutes in seconds
# Default to now, rounded to the nearest hour
model = Model(time_step=60 * 60,
start_time=start_time,
duration=timedelta(days=1),
uncertain=False)
print 'adding outputters'
renderer = Renderer(output_dir=images_dir,
image_size=(800, 800),
# viewport=((-70.25, 41.75), # FIXME -- why doesn't this work?
# (-69.75, 42.25)),
projection_class=GeoProjection)
renderer.viewport = ((-70.25, 41.75),
(-69.75, 42.25))
model.outputters += renderer
netcdf_file = os.path.join(base_dir, 'surface_concentration.nc')
scripting.remove_netcdf(netcdf_file)
model.outputters += NetCDFOutput(netcdf_file, surface_conc='kde')
shape_file = os.path.join(base_dir, 'surface_concentration')
model.outputters += ShapeOutput(shape_file, surface_conc='kde')
shp_file = os.path.join(base_dir, 'surface_concentration')
scripting.remove_netcdf(shp_file + ".zip")
model.outputters += ShapeOutput(shp_file,
zip_output=False,
surface_conc="kde",
)
print 'adding a RandomMover:'
model.movers += RandomMover(diffusion_coef=100000)
print 'adding a wind mover:'
series = np.zeros((2, ), dtype=datetime_value_2d)
series[0] = (start_time, (5, 270))
series[1] = (start_time + timedelta(hours=25), (5, 270))
w_mover = WindMover(Wind(timeseries=series, units='m/s'))
model.movers += w_mover
model.environment += w_mover.wind
print 'adding a spill'
end_time = start_time + timedelta(hours=12)
spill = point_line_release_spill(num_elements=100,
amount=10000,
units='gal',
start_position=(-70.0, 42, 0.0),
release_time=start_time,
end_release_time=end_time,
)
model.spills += spill
return model
def make_model(images_dir=os.path.join(base_dir, 'images')):
print 'initializing the model'
# start_time = datetime(1985, 7, 1, 13, 30)
start_time = datetime(1985, 1, 2, 0, 0)
# model time-step in seconds
model = Model(start_time=start_time,
duration=timedelta(hours=3 * 24 + 23),
time_step=15 * 60,
uncertain=False)
print 'adding the map'
mapfile = get_datafile(os.path.join(base_dir, 'coast_SBbig.bna'))
model.map = MapFromBNA(mapfile, refloat_halflife=6) # hours
print 'adding outputters'
renderer = Renderer(mapfile, images_dir, size=(800, 600))
renderer.viewport = ((-122, 33), (-117, 35))
model.outputters += renderer
netcdf_file = os.path.join(base_dir, 'script_SB')
scripting.remove_netcdf(netcdf_file)
model.outputters += NetCDFOutput(netcdf_file, which_data='all')
print 'adding a spill'
end_time = start_time + timedelta(hours=24)
spill = point_line_release_spill(num_elements=1000,
start_position=(202.294666, 71.922333,
0.0),
release_time=start_time,
end_release_time=end_time)
model.spills += spill
print 'adding a RandomMover:'
model.movers += RandomMover(diffusion_coef=50000)
print 'adding a current mover:'
# currents from ROMS Santa Barbara run, provided by UCLA
curr_file = os.path.join(base_dir, 'BOEM', 'Currentfilelist.txt')
print curr_file
topology_file = os.path.join(base_dir, 'TopologyCurrent.DAT')
model.movers += GridCurrentMover(curr_file, topology_file)
# model.movers += GridCurrentMover(curr_file)
print 'adding a wind mover:'
# winds from the ROMS Arctic run, provided by Walter Johnson
wind_file = os.path.join(base_dir, 'BOEM', 'Windfilelist.txt')
print wind_file
topology_file = os.path.join(base_dir, 'TopologyCurrent.DAT')
model.movers += GridWindMover(wind_file, topology_file)
# model.movers += GridWindMover(wind_file, topology_file)
# print 'adding an ice mover:'
# ice from the ROMS Arctic run, provided by Walter Johnson
# ice_file = os.path.join(base_dir, 'data_gnome', 'ROMS_h2ouv', 'arctic_filelist.txt')
# topology_file = os.path.join(base_dir, 'data_gnome', 'arctic_subset_newtopo2.DAT')
# model.movers += IceMover(ice_file, topology_file)
# model.movers += IceMover(ice_file)
# print ice_file
return model
def make_model(images_dir=os.path.join(base_dir, 'images')):
print 'initializing the model'
start_time = "1985-01-01T13:31"
model = gs.Model(start_time=start_time,
duration=gs.days(2),
time_step=gs.hours(1))
mapfile = gs.get_datafile(os.path.join(base_dir, 'ak_arctic.bna'))
print 'adding the map'
model.map = gs.MapFromBNA(mapfile, refloat_halflife=0.0) # seconds
print 'adding outputters'
renderer = gs.Renderer(mapfile, images_dir, image_size=(1024, 768))
renderer.set_viewport(((-165, 69), (-161.5, 70)))
# model.outputters += renderer
netcdf_file = os.path.join(base_dir, 'script_ice.nc')
gs.remove_netcdf(netcdf_file)
model.outputters += gs.NetCDFOutput(netcdf_file, which_data='all')
print 'adding a spill'
# For a subsurfce spill, you would need to add vertical movers:
# - gs.RiseVelocityMover
# - gs.RandomVerticalMover
spill1 = gs.point_line_release_spill(num_elements=1000,
start_position=(-163.75, 69.75, 0.0),
release_time=start_time)
model.spills += spill1
print 'adding the ice movers'
fn = [
gs.get_datafile('arctic_avg2_0001_gnome.nc'),
gs.get_datafile('arctic_avg2_0002_gnome.nc'),
]
gt = {'node_lon': 'lon', 'node_lat': 'lat'}
ice_aware_curr = gs.IceAwareCurrent.from_netCDF(filename=fn,
grid_topology=gt)
ice_aware_wind = gs.IceAwareWind.from_netCDF(
filename=fn,
grid=ice_aware_curr.grid,
)
method = 'RK2'
i_c_mover = gs.PyCurrentMover(current=ice_aware_curr,
default_num_method=method)
i_w_mover = gs.PyWindMover(wind=ice_aware_wind, default_num_method=method)
# shifting to -360 to 0 longitude
ice_aware_curr.grid.node_lon = ice_aware_curr.grid.node_lon[:] - 360
model.movers += i_c_mover
model.movers += i_w_mover
print 'adding an Ice RandomMover:'
model.movers += IceAwareRandomMover(
ice_concentration=ice_aware_curr.ice_concentration,
diffusion_coef=50000)
# to visualize the grid and currents
# renderer.add_grid(ice_aware_curr.grid)
# renderer.add_vec_prop(ice_aware_curr)
return model
def make_model(images_dir=os.path.join(base_dir, 'images')):
print 'initializing the model'
# set up the modeling environment
start_time = datetime(2016, 9, 18, 1, 0)
model = Model(start_time=start_time,
duration=timedelta(days=3),
time_step=30 * 60,
uncertain=False)
print 'adding the map'
model.map = GnomeMap() # this is a "water world -- no land anywhere"
# renderere is only top-down view on 2d -- but it's something
renderer = Renderer(
output_dir=images_dir,
size=(1024, 768),
output_timestep=timedelta(hours=1),
)
renderer.viewport = ((-87.095, 27.595), (-87.905, 28.405))
print 'adding outputters'
model.outputters += renderer
# Also going to write the results out to a netcdf file
netcdf_file = os.path.join(base_dir, 'gulf_tamoc.nc')
scripting.remove_netcdf(netcdf_file)
model.outputters += NetCDFOutput(
netcdf_file,
which_data='most',
# output most of the data associated with the elements
output_timestep=timedelta(hours=2))
print "adding Horizontal and Vertical diffusion"
# Horizontal Diffusion
model.movers += RandomMover(diffusion_coef=100000)
# vertical diffusion (different above and below the mixed layer)
model.movers += RandomVerticalMover(
vertical_diffusion_coef_above_ml=50,
vertical_diffusion_coef_below_ml=10,
horizontal_diffusion_coef_above_ml=100000,
horizontal_diffusion_coef_below_ml=100,
mixed_layer_depth=10)
print 'adding Rise Velocity'
# droplets rise as a function of their density and radius
model.movers += TamocRiseVelocityMover()
print 'adding the 3D current mover'
gc = GridCurrent.from_netCDF('HYCOM_3d.nc')
model.movers += GridCurrentMover('HYCOM_3d.nc')
# model.movers += SimpleMover(velocity=(0., 0, 0.))
# model.movers += constant_wind_mover(5, 315, units='knots')
# Wind from a buoy
w = Wind(filename='KIKT.osm')
model.movers += WindMover(w)
# Now to add in the TAMOC "spill"
print "Adding TAMOC spill"
model.spills += tamoc_spill.TamocSpill(
release_time=start_time,
start_position=(-87.5, 28.0, 2000),
num_elements=30000,
end_release_time=start_time + timedelta(days=2),
name='TAMOC plume',
TAMOC_interval=None, # how often to re-run TAMOC
)
model.spills[0].data_sources['currents'] = gc
return model
def make_model(images_dir=os.path.join(base_dir, 'images')):
print 'initializing the model'
start_time = datetime(2015, 5, 14, 0, 0)
# 1 day of data in file
# 1/2 hr in seconds
model = Model(start_time=start_time,
duration=timedelta(days=1.75),
time_step=60 * 60,
uncertain=True)
# mapfile = get_datafile(os.path.join(base_dir, './ak_arctic.bna'))
#
# print 'adding the map'
# model.map = MapFromBNA(mapfile, refloat_halflife=1) # seconds
#
# # draw_ontop can be 'uncertain' or 'forecast'
# # 'forecast' LEs are in black, and 'uncertain' are in red
# # default is 'forecast' LEs draw on top
# renderer = Renderer(mapfile, images_dir, image_size=(800, 600),
# output_timestep=timedelta(hours=2),
# draw_ontop='forecast')
#
# print 'adding outputters'
# model.outputters += renderer
model.outputters += WeatheringOutput('.\\')
netcdf_file = os.path.join(base_dir, 'script_weatherers.nc')
scripting.remove_netcdf(netcdf_file)
model.outputters += NetCDFOutput(netcdf_file, which_data='all',
output_timestep=timedelta(hours=1))
print 'adding a spill'
# for now subsurface spill stays on initial layer
# - will need diffusion and rise velocity
# - wind doesn't act
# - start_position = (-76.126872, 37.680952, 5.0),
end_time = start_time + timedelta(hours=24)
spill = point_line_release_spill(num_elements=100,
start_position=(-164.791878561,
69.6252597267, 0.0),
release_time=start_time,
end_release_time=end_time,
amount=1000,
substance='ALASKA NORTH SLOPE (MIDDLE PIPELINE, 1997)',
units='bbl')
# set bullwinkle to .303 to cause mass goes to zero bug at 24 hours (when continuous release ends)
spill.element_type._substance._bullwinkle = .303
model.spills += spill
print 'adding a RandomMover:'
# model.movers += RandomMover(diffusion_coef=50000)
print 'adding a wind mover:'
series = np.zeros((2,), dtype=datetime_value_2d)
series[0] = (start_time, (20, 0))
series[1] = (start_time + timedelta(hours=23), (20, 0))
wind2 = Wind(timeseries=series, units='knot')
w_mover = WindMover(wind)
model.movers += w_mover
print 'adding weatherers and cleanup options:'
# define skimmer/burn cleanup options
skim1_start = start_time + timedelta(hours=15.58333)
skim2_start = start_time + timedelta(hours=16)
units = spill.units
skimmer1 = Skimmer(80, units=units, efficiency=0.36,
active_start=skim1_start,
active_stop=skim1_start + timedelta(hours=8))
skimmer2 = Skimmer(120, units=units, efficiency=0.2,
active_start=skim2_start,
active_stop=skim2_start + timedelta(hours=12))
burn_start = start_time + timedelta(hours=36)
burn = Burn(1000., .1,
active_start=burn_start, efficiency=.2)
chem_start = start_time + timedelta(hours=24)
# c_disp = ChemicalDispersion(0.5, efficiency=0.4,
# active_start=chem_start,
# active_stop=chem_start + timedelta(hours=8))
model.environment += [Water(280.928), wind, waves]
model.weatherers += Evaporation(water, wind)
model.weatherers += Emulsification(waves)
model.weatherers += NaturalDispersion(waves, water)
model.weatherers += skimmer1
model.weatherers += skimmer2
model.weatherers += burn
# model.weatherers += c_disp
return model
def make_model(images_dir=os.path.join(base_dir, 'images')):
print 'initializing the model'
start_time = "1985-01-01T13:31"
model = gs.Model(start_time=start_time,
duration=gs.days(2),
time_step=gs.hours(1))
mapfile = gs.get_datafile(os.path.join(base_dir, 'ak_arctic.bna'))
print 'adding the map'
model.map = gs.MapFromBNA(mapfile, refloat_halflife=0.0) # seconds
print 'adding outputters'
renderer = gs.Renderer(mapfile, images_dir, image_size=(1024, 768))
renderer.set_viewport(((-165, 69), (-161.5, 70)))
# model.outputters += renderer
netcdf_file = os.path.join(base_dir, 'script_ice.nc')
gs.remove_netcdf(netcdf_file)
model.outputters += gs.NetCDFOutput(netcdf_file,
which_data='all')
print 'adding a spill'
# For a subsurfce spill, you would need to add vertical movers:
# - gs.RiseVelocityMover
# - gs.RandomVerticalMover
spill1 = gs.point_line_release_spill(num_elements=1000,
start_position=(-163.75,
69.75,
0.0),
release_time=start_time)
model.spills += spill1
print 'adding the ice movers'
fn = [gs.get_datafile('arctic_avg2_0001_gnome.nc'),
gs.get_datafile('arctic_avg2_0002_gnome.nc'),
]
gt = {'node_lon': 'lon',
'node_lat': 'lat'}
ice_aware_curr = gs.IceAwareCurrent.from_netCDF(filename=fn,
grid_topology=gt)
ice_aware_wind = gs.IceAwareWind.from_netCDF(filename=fn,
grid=ice_aware_curr.grid,)
method = 'RK2'
i_c_mover = gs.PyCurrentMover(current=ice_aware_curr,
default_num_method=method)
i_w_mover = gs.PyWindMover(wind=ice_aware_wind,
default_num_method=method)
# shifting to -360 to 0 longitude
ice_aware_curr.grid.node_lon = ice_aware_curr.grid.node_lon[:] - 360
model.movers += i_c_mover
model.movers += i_w_mover
print 'adding an Ice RandomMover:'
model.movers += IceAwareRandomMover(ice_concentration=ice_aware_curr.ice_concentration,
diffusion_coef=50000)
# to visualize the grid and currents
# renderer.add_grid(ice_aware_curr.grid)
# renderer.add_vec_prop(ice_aware_curr)
return model
def make_model(images_dir=os.path.join(base_dir, 'images')):
# create the maps:
print 'creating the maps'
mapfile = get_datafile(os.path.join(base_dir, './MassBayMap.bna'))
gnome_map = MapFromBNA(mapfile, refloat_halflife=1) # hours
renderer = Renderer(mapfile, images_dir, size=(800, 800),
projection_class=GeoProjection)
print 'initializing the model'
start_time = datetime(2013, 3, 12, 10, 0)
# 15 minutes in seconds
# Default to now, rounded to the nearest hour
model = Model(time_step=900, start_time=start_time,
duration=timedelta(days=1),
map=gnome_map, uncertain=False)
print 'adding outputters'
model.outputters += renderer
netcdf_file = os.path.join(base_dir, 'script_boston.nc')
scripting.remove_netcdf(netcdf_file)
model.outputters += NetCDFOutput(netcdf_file, which_data='all')
print 'adding a RandomMover:'
model.movers += RandomMover(diffusion_coef=100000)
print 'adding a wind mover:'
series = np.zeros((2, ), dtype=datetime_value_2d)
series[0] = (start_time, (5, 180))
series[1] = (start_time + timedelta(hours=18), (5, 180))
w_mover = WindMover(Wind(timeseries=series, units='m/s'))
model.movers += w_mover
model.environment += w_mover.wind
print 'adding a cats shio mover:'
curr_file = get_datafile(os.path.join(base_dir, r"./EbbTides.cur"))
tide_file = get_datafile(os.path.join(base_dir, r"./EbbTidesShio.txt"))
c_mover = CatsMover(curr_file, tide=Tide(tide_file))
# this is the value in the file (default)
c_mover.scale_refpoint = (-70.8875, 42.321333)
c_mover.scale = True
c_mover.scale_value = -1
model.movers += c_mover
# TODO: cannot add this till environment base class is created
model.environment += c_mover.tide
print 'adding a cats ossm mover:'
#ossm_file = get_datafile(os.path.join(base_dir,
# r"./MerrimackMassCoastOSSM.txt"))
curr_file = get_datafile(os.path.join(base_dir,
r"./MerrimackMassCoast.cur"))
tide_file = get_datafile(os.path.join(base_dir,
r"./MerrimackMassCoastOSSM.txt"))
c_mover = CatsMover(curr_file, tide=Tide(tide_file))
# but do need to scale (based on river stage)
c_mover.scale = True
c_mover.scale_refpoint = (-70.65, 42.58333)
c_mover.scale_value = 1.
model.movers += c_mover
model.environment += c_mover.tide
print 'adding a cats mover:'
curr_file = get_datafile(os.path.join(base_dir, r"MassBaySewage.cur"))
c_mover = CatsMover(curr_file)
# but do need to scale (based on river stage)
c_mover.scale = True
c_mover.scale_refpoint = (-70.78333, 42.39333)
# the scale factor is 0 if user inputs no sewage outfall effects
c_mover.scale_value = .04
model.movers += c_mover
# print "adding a component mover:"
# component_file1 = os.path.join( base_dir, r"./WAC10msNW.cur")
# component_file2 = os.path.join( base_dir, r"./WAC10msSW.cur")
print 'adding a spill'
end_time = start_time + timedelta(hours=12)
spill = point_line_release_spill(num_elements=1000,
start_position=(-70.911432,
42.369142, 0.0),
release_time=start_time,
end_release_time=end_time)
model.spills += spill
return model
def make_model(images_dir=os.path.join(base_dir, "images")):
print "initializing the model"
start_time = datetime(1985, 1, 1, 13, 31)
# 1 day of data in file
# 1/2 hr in seconds
model = Model(start_time=start_time, duration=timedelta(days=4), time_step=3600)
mapfile = get_datafile(os.path.join(base_dir, "ak_arctic.bna"))
print "adding the map"
model.map = MapFromBNA(mapfile, refloat_halflife=0.0) # seconds
print "adding outputters"
# draw_ontop can be 'uncertain' or 'forecast'
# 'forecast' LEs are in black, and 'uncertain' are in red
# default is 'forecast' LEs draw on top
# renderer = Renderer(mapfile, images_dir, image_size=(1024, 768))
# model.outputters += renderer
netcdf_file = os.path.join(base_dir, "script_ice.nc")
scripting.remove_netcdf(netcdf_file)
model.outputters += NetCDFOutput(netcdf_file, which_data="all")
print "adding a spill"
# for now subsurface spill stays on initial layer
# - will need diffusion and rise velocity
# - wind doesn't act
# - start_position = (-76.126872, 37.680952, 5.0),
spill1 = point_line_release_spill(num_elements=10000, start_position=(-163.75, 69.75, 0.0), release_time=start_time)
#
# spill2 = point_line_release_spill(num_elements=5000,
# start_position=(-163.75,
# 69.5,
# 0.0),
# release_time=start_time)
model.spills += spill1
# model.spills += spill2
print "adding a RandomMover:"
model.movers += RandomMover(diffusion_coef=1000)
print "adding a wind mover:"
# model.movers += constant_wind_mover(0.5, 0, units='m/s')
print "adding a current mover:"
fn = [get_datafile("arctic_avg2_0001_gnome.nc"), get_datafile("arctic_avg2_0002_gnome.nc")]
gt = {"node_lon": "lon", "node_lat": "lat"}
ice_aware_curr = IceAwareCurrent.from_netCDF(filename=fn, grid_topology=gt)
ice_aware_wind = IceAwareWind.from_netCDF(filename=fn, grid=ice_aware_curr.grid)
method = "Trapezoid"
# i_c_mover = PyGridCurrentMover(current=ice_aware_curr)
# i_c_mover = PyGridCurrentMover(current=ice_aware_curr, default_num_method='Euler')
i_c_mover = PyGridCurrentMover(current=ice_aware_curr, default_num_method=method)
i_w_mover = PyWindMover(wind=ice_aware_wind, default_num_method=method)
ice_aware_curr.grid.node_lon = ice_aware_curr.grid.node_lon[:] - 360
# ice_aware_curr.grid.build_celltree()
model.movers += i_c_mover
model.movers += i_w_mover
# renderer.add_grid(ice_aware_curr.grid)
# renderer.add_vec_prop(ice_aware_curr)
# renderer.set_viewport(((-190.9, 60), (-72, 89)))
# curr_file = get_datafile(os.path.join(base_dir, 'COOPSu_CREOFS24.nc'))
# c_mover = GridCurrentMover(curr_file)
# model.movers += c_mover
return model
def make_model(images_dir=os.path.join(base_dir, 'images')):
# create the maps:
print 'creating the maps'
mapfile = get_datafile(os.path.join(base_dir, './DelawareRiverMap.bna'))
gnome_map = MapFromBNA(mapfile, refloat_halflife=1) # hours
renderer = Renderer(mapfile, images_dir, size=(800, 800),
projection_class=GeoProjection)
print 'initializing the model'
start_time = datetime(2012, 8, 20, 13, 0)
# 15 minutes in seconds
# Default to now, rounded to the nearest hour
model = Model(time_step=900, start_time=start_time,
duration=timedelta(days=1),
map=gnome_map, uncertain=False)
print 'adding outputters'
model.outputters += renderer
netcdf_file = os.path.join(base_dir, 'script_delaware_bay.nc')
scripting.remove_netcdf(netcdf_file)
model.outputters += NetCDFOutput(netcdf_file, which_data='all')
print 'adding a RandomMover:'
model.movers += RandomMover(diffusion_coef=100000)
print 'adding a wind mover:'
series = np.zeros((2, ), dtype=datetime_value_2d)
series[0] = (start_time, (5, 270))
series[1] = (start_time + timedelta(hours=18), (5, 270))
wind_file = get_datafile(os.path.join(base_dir, r"ConstantWind.WND"))
# wind = Wind(filename=wind_file)
wind = Wind(timeseries=series, units='m/s')
w_mover = WindMover(wind)
#w_mover = WindMover(Wind(timeseries=series, units='knots'))
model.movers += w_mover
print 'adding a cats shio mover:'
curr_file = get_datafile(os.path.join(base_dir, r"./FloodTides.cur"))
tide_file = get_datafile(os.path.join(base_dir, r"./FloodTidesShio.txt"))
c_mover = CatsMover(curr_file, tide=Tide(tide_file))
# this is the value in the file (default)
c_mover.scale_refpoint = (-75.081667,38.7995)
c_mover.scale = True
c_mover.scale_value = 1
model.movers += c_mover
# TODO: cannot add this till environment base class is created
model.environment += c_mover.tide
print 'adding a cats mover:'
curr_file = get_datafile(os.path.join(base_dir,
r"./Offshore.cur"))
c_mover = CatsMover(curr_file)
# but do need to scale (based on river stage)
c_mover.scale = True
c_mover.scale_refpoint = (-74.7483333,38.898333)
c_mover.scale_value = .03
model.movers += c_mover
#
# pat1Angle 315; pat1Speed 30; pat1SpeedUnits knots; pat1ScaleToValue 0.314426 # these are from windows they don't match Mac values...
# pat2Angle 225; pat2Speed 30; pat2SpeedUnits knots; pat2ScaleToValue 0.032882
# scaleBy WindStress
print 'adding a component mover:'
curr_file1 = get_datafile(os.path.join(base_dir, r"NW30ktwinds.cur"))
curr_file2 = get_datafile(os.path.join(base_dir, r"SW30ktwinds.cur"))
comp_mover = ComponentMover(curr_file1, curr_file2, wind)
#todo: following is not working when model is saved out - fix
#comp_mover = ComponentMover(curr_file1, curr_file2, Wind(timeseries=series, units='m/s'))
#comp_mover = ComponentMover(curr_file1, curr_file2, wind=Wind(filename=wind_file))
comp_mover.ref_point = (-75.263166,39.1428333)
comp_mover.pat1_angle = 315
comp_mover.pat1_speed = 30
comp_mover.pat1_speed_units = 1
#comp_mover.pat1ScaleToValue = .314426
comp_mover.pat1_scale_to_value = .502035
comp_mover.pat2_angle = 225
comp_mover.pat2_speed = 30
comp_mover.pat2_speed_units = 1
#comp_mover.pat2ScaleToValue = .032882
comp_mover.pat2_scale_to_value = .021869
model.movers += comp_mover
print 'adding a spill'
end_time = start_time + timedelta(hours=12)
spill = point_line_release_spill(num_elements=1000,
start_position=(-75.262319,
39.142987, 0.0),
release_time=start_time)
#end_release_time=end_time)
model.spills += spill
return model
def make_model(images_dir=os.path.join(base_dir, 'images')):
print 'initializing the model'
start_time = datetime(1985, 1, 1, 13, 31)
# 1 day of data in file
# 1/2 hr in seconds
model = Model(start_time=start_time,
duration=timedelta(days=4),
time_step=3600*2)
mapfile = get_datafile(os.path.join(base_dir, 'arctic_coast3.bna'))
print 'adding the map'
model.map = MapFromBNA(mapfile, refloat_halflife=0.0) # seconds
# model.map = GnomeMap()
print 'adding outputters'
# draw_ontop can be 'uncertain' or 'forecast'
# 'forecast' LEs are in black, and 'uncertain' are in red
# default is 'forecast' LEs draw on top
# renderer = Renderer(mapfile, images_dir, image_size=(1024, 768))
# model.outputters += renderer
netcdf_file = os.path.join(base_dir, 'script_old_TAPa.nc')
scripting.remove_netcdf(netcdf_file)
model.outputters += NetCDFOutput(netcdf_file, which_data='all')
print 'adding a spill'
# for now subsurface spill stays on initial layer
# - will need diffusion and rise velocity
# - wind doesn't act
# - start_position = (-76.126872, 37.680952, 5.0),
spill1 = point_line_release_spill(num_elements=10000,
start_position=(196.25,
69.75,
0.0),
release_time=start_time)
#
# spill2 = point_line_release_spill(num_elements=5000,
# start_position=(-163.75,
# 69.5,
# 0.0),
# release_time=start_time)
model.spills += spill1
# model.spills += spill2
print 'adding a RandomMover:'
model.movers += RandomMover(diffusion_coef=1000)
print 'adding a wind mover:'
# winds from the ROMS Arctic run, provided by Walter Johnson
wind_file = os.path.join(base_dir, 'arctic_filelist.txt')
print wind_file
topology_file = os.path.join(base_dir, 'arctic_subset_newtopo2.DAT')
model.movers += IceWindMover(wind_file, topology_file)
# model.movers += GridWindMover(wind_file, topology_file)
# model.movers += GridWindMover(wind_file, topology_file)
print 'adding an ice mover:'
# ice from the ROMS Arctic run, provided by Walter Johnson
ice_file = os.path.join(base_dir, 'arctic_filelist.txt')
topology_file = os.path.join(base_dir, 'arctic_subset_newtopo2.DAT')
model.movers += IceMover(ice_file, topology_file)
# model.movers += IceMover(ice_file)
print ice_file
print 'adding a current mover:'
#
# fn = ['N:\\Users\\Dylan.Righi\\OutBox\\ArcticROMS\\arctic_avg2_0001_gnome.nc',
# 'N:\\Users\\Dylan.Righi\\OutBox\\ArcticROMS\\arctic_avg2_0002_gnome.nc']
#
# gt = {'node_lon':'lon',
# 'node_lat':'lat'}
# # fn='arctic_avg2_0001_gnome.nc'
#
# ice_aware_curr = IceAwareCurrent.from_netCDF(filename=fn,
# grid_topology=gt)
# ice_aware_wind = IceAwareWind.from_netCDF(filename=fn,
# grid = ice_aware_curr.grid,)
# method = 'Trapezoid'
#
# # i_c_mover = PyGridCurrentMover(current=ice_aware_curr)
# # i_c_mover = PyGridCurrentMover(current=ice_aware_curr, default_num_method='Euler')
# i_c_mover = PyGridCurrentMover(current=ice_aware_curr, default_num_method=method)
# i_w_mover = PyWindMover(wind = ice_aware_wind, default_num_method=method)
#
# ice_aware_curr.grid.node_lon = ice_aware_curr.grid.node_lon[:]-360
# # ice_aware_curr.grid.build_celltree()
# model.movers += i_c_mover
# model.movers += i_w_mover
# renderer.add_grid(ice_aware_curr.grid)
# renderer.add_vec_prop(ice_aware_curr)
# renderer.set_viewport(((-190.9, 60), (-72, 89)))
# curr_file = get_datafile(os.path.join(base_dir, 'COOPSu_CREOFS24.nc'))
# c_mover = GridCurrentMover(curr_file)
# model.movers += c_mover
model.save('.')
return model
def make_model(images_dir=os.path.join(base_dir, 'images')):
# create the maps:
start_time = datetime(2013, 3, 12, 10, 0)
# 15 minutes in seconds
# Default to now, rounded to the nearest hour
model = Model(time_step=60 * 60,
start_time=start_time,
duration=timedelta(days=1),
uncertain=False)
print 'adding outputters'
renderer = Renderer(
output_dir=images_dir,
image_size=(800, 800),
# viewport=((-70.25, 41.75), # FIXME -- why doesn't this work?
# (-69.75, 42.25)),
projection_class=GeoProjection)
renderer.viewport = ((-70.25, 41.75), (-69.75, 42.25))
model.outputters += renderer
netcdf_file = os.path.join(base_dir, 'surface_concentration.nc')
scripting.remove_netcdf(netcdf_file)
model.outputters += NetCDFOutput(netcdf_file, surface_conc='kde')
shape_file = os.path.join(base_dir, 'surface_concentration')
model.outputters += ShapeOutput(shape_file, surface_conc='kde')
shp_file = os.path.join(base_dir, 'surface_concentration')
scripting.remove_netcdf(shp_file + ".zip")
model.outputters += ShapeOutput(
shp_file,
zip_output=False,
surface_conc="kde",
)
print 'adding a RandomMover:'
model.movers += RandomMover(diffusion_coef=100000)
print 'adding a wind mover:'
series = np.zeros((2, ), dtype=datetime_value_2d)
series[0] = (start_time, (5, 270))
series[1] = (start_time + timedelta(hours=25), (5, 270))
w_mover = WindMover(Wind(timeseries=series, units='m/s'))
model.movers += w_mover
model.environment += w_mover.wind
print 'adding a spill'
end_time = start_time + timedelta(hours=12)
spill = point_line_release_spill(
num_elements=100,
amount=10000,
units='gal',
start_position=(-70.0, 42, 0.0),
release_time=start_time,
end_release_time=end_time,
)
model.spills += spill
return model
def make_model(images_dir=os.path.join(base_dir, 'images')):
print 'initializing the model'
start_time = datetime(2004, 12, 31, 13, 0)
# 1 day of data in file
# 1/2 hr in seconds
model = Model(start_time=start_time,
duration=timedelta(days=1),
time_step=30 * 60,
uncertain=True)
mapfile = get_datafile(os.path.join(base_dir, 'ChesapeakeBay.bna'))
print 'adding the map'
model.map = MapFromBNA(mapfile, refloat_halflife=1) # seconds
# draw_ontop can be 'uncertain' or 'forecast'
# 'forecast' LEs are in black, and 'uncertain' are in red
# default is 'forecast' LEs draw on top
renderer = Renderer(mapfile, images_dir, size=(800, 600),
output_timestep=timedelta(hours=2),
draw_ontop='forecast')
# set the viewport to zoom in on the map:
renderer.viewport = ((-76.5, 37.), (-75.8, 38.))
# add the raster map, so we can see it...
# note: this is really slow, so only use for diagnostics
# renderer.raster_map = model.map
print 'adding outputters'
model.outputters += renderer
netcdf_file = os.path.join(base_dir, 'script_chesapeake_bay.nc')
scripting.remove_netcdf(netcdf_file)
model.outputters += NetCDFOutput(netcdf_file, which_data='all',
output_timestep=timedelta(hours=2))
print 'adding a spill'
# for now subsurface spill stays on initial layer
# - will need diffusion and rise velocity
# - wind doesn't act
# - start_position = (-76.126872, 37.680952, 5.0),
spill = point_line_release_spill(num_elements=1000,
start_position=(-76.126872,
37.680952,
0.0),
release_time=start_time)
model.spills += spill
print 'adding a RandomMover:'
model.movers += RandomMover(diffusion_coef=50000)
print 'adding a wind mover:'
series = np.zeros((2, ), dtype=datetime_value_2d)
series[0] = (start_time, (30, 0))
series[1] = (start_time + timedelta(hours=23), (30, 0))
wind = Wind(timeseries=series, units='knot')
# default is .4 radians
w_mover = WindMover(wind, uncertain_angle_scale=0)
w_mover.extrapolate=True
model.movers += w_mover
print 'adding a current mover:'
curr_file = get_datafile(os.path.join(base_dir, 'ChesapeakeBay.nc'))
topology_file = get_datafile(os.path.join(base_dir, 'ChesapeakeBay.dat'))
# uncertain_time_delay in hours
c_mover = GridCurrentMover(curr_file, topology_file,
uncertain_time_delay=3)
c_mover.uncertain_along = 0 # default is .5
# c_mover.uncertain_cross = 0 # default is .25
model.movers += c_mover
return model
def make_model(images_dir=os.path.join(base_dir, 'images')):
print 'initializing the model'
# set up the modeling environment
start_time = datetime(2016, 9, 18, 1, 0)
model = Model(start_time=start_time,
duration=timedelta(days=3),
time_step=30 * 60,
uncertain=False)
print 'adding the map'
model.map = GnomeMap() # this is a "water world -- no land anywhere"
# renderere is only top-down view on 2d -- but it's something
renderer = Renderer(output_dir=images_dir,
size=(1024, 768),
output_timestep=timedelta(hours=1),
)
renderer.viewport = ((-87.095, 27.595), (-87.905, 28.405))
print 'adding outputters'
model.outputters += renderer
# Also going to write the results out to a netcdf file
netcdf_file = os.path.join(base_dir, 'gulf_tamoc.nc')
scripting.remove_netcdf(netcdf_file)
model.outputters += NetCDFOutput(netcdf_file,
which_data='most',
# output most of the data associated with the elements
output_timestep=timedelta(hours=2))
print "adding Horizontal and Vertical diffusion"
# Horizontal Diffusion
model.movers += RandomMover(diffusion_coef=100000)
# vertical diffusion (different above and below the mixed layer)
model.movers += RandomVerticalMover(vertical_diffusion_coef_above_ml=50,
vertical_diffusion_coef_below_ml=10,
horizontal_diffusion_coef_above_ml=100000,
horizontal_diffusion_coef_below_ml=100,
mixed_layer_depth=10)
print 'adding Rise Velocity'
# droplets rise as a function of their density and radius
model.movers += TamocRiseVelocityMover()
print 'adding the 3D current mover'
gc = GridCurrent.from_netCDF('HYCOM_3d.nc')
model.movers += GridCurrentMover('HYCOM_3d.nc')
# model.movers += SimpleMover(velocity=(0., 0, 0.))
# model.movers += constant_wind_mover(5, 315, units='knots')
# Wind from a buoy
w = Wind(filename='KIKT.osm')
model.movers += WindMover(w)
# Now to add in the TAMOC "spill"
print "Adding TAMOC spill"
model.spills += tamoc_spill.TamocSpill(release_time=start_time,
start_position=(-87.5, 28.0, 2000),
num_elements=30000,
end_release_time=start_time + timedelta(days=2),
name='TAMOC plume',
TAMOC_interval=None, # how often to re-run TAMOC
)
model.spills[0].data_sources['currents'] = gc
return model
def make_model(images_dir=os.path.join(base_dir, 'images')):
# create the maps:
print 'creating the maps'
mapfile = get_datafile(os.path.join(base_dir, 'SanJuanMap.bna'))
gnome_map = MapFromBNA(mapfile,
refloat_halflife=1,
raster_size=1024 * 1024)
renderer = Renderer(mapfile,
images_dir,
image_size=(800, 800),
projection_class=GeoProjection)
renderer.viewport = ((-66.24, 18.39), (-66.1, 18.55))
print 'initializing the model'
start_time = datetime(2014, 9, 3, 13, 0)
# 15 minutes in seconds
# Default to now, rounded to the nearest hour
model = Model(time_step=900,
start_time=start_time,
duration=timedelta(days=1),
map=gnome_map,
uncertain=False)
print 'adding outputters'
model.outputters += renderer
netcdf_file = os.path.join(base_dir, 'script_san_juan.nc')
scripting.remove_netcdf(netcdf_file)
model.outputters += NetCDFOutput(netcdf_file, which_data='all')
print 'adding a RandomMover:'
model.movers += RandomMover(diffusion_coef=100000)
print 'adding a wind mover:'
series = np.zeros((2, ), dtype=datetime_value_2d)
series[0] = (start_time, (0, 270))
series[1] = (start_time + timedelta(hours=18), (0, 270))
wind = Wind(timeseries=series, units='m/s')
w_mover = WindMover(wind)
wind.extrapolation_is_allowed = True
model.movers += w_mover
print 'adding a cats shio mover:'
# need to add the scale_factor for the tide heights file
curr_file = get_datafile(os.path.join(base_dir, 'EbbTides.cur'))
tide_file = get_datafile(os.path.join(base_dir, 'EbbTidesShioHt.txt'))
c_mover = CatsMover(curr_file, tide=Tide(tide_file, scale_factor=.15))
# this is the value in the file (default)
c_mover.scale_refpoint = (-66.116667, 18.458333)
c_mover.scale = True
c_mover.scale_value = 1.0
# c_mover.tide.scale_factor = 0.15
model.movers += c_mover
print 'adding a cats mover:'
curr_file = get_datafile(os.path.join(base_dir, 'Offshore.cur'))
c_mover = CatsMover(curr_file)
# this is the value in the file (default)
# c_mover.scale_refpoint = (-66.082836, 18.469334)
c_mover.scale_refpoint = (-66.084333333, 18.46966667)
c_mover.scale = True
c_mover.scale_value = 0.1
model.movers += c_mover
print 'adding a spill'
end_time = start_time + timedelta(hours=12)
spill = point_line_release_spill(
num_elements=1000,
release_time=start_time,
start_position=(-66.16374, 18.468054, 0.0),
# start_position=(-66.129099,
# 18.465332, 0.0),
# end_release_time=end_time,
)
model.spills += spill
return model
def make_model():
"""
Set up a GNOME simulation that uses TAMOC
Set up a spill scenario in GNOME that uses TAMOC to simulate a subsurface
blowout and then pass the TAMOC solution to GNOME for the far-field
particle tracking
"""
# Set up the directory structure for the model
base_dir, images_dir, outfiles_dir = set_directory_structure()
# Set up the modeling environment
print '\n-- Initializing the Model --'
start_time = "2019-06-01T12:00"
model = gs.Model(start_time=start_time,
duration=gs.days(3),
time_step=gs.minutes(30),
uncertain=False)
# Add a map
print '\n-- Adding a Map --'
model.map = gs.GnomeMap()
# Add image output
print '\n-- Adding Image Outputters --'
renderer = gs.Renderer(output_dir=images_dir,
image_size=(1024, 768),
output_timestep=gs.hours(1),
viewport=((-0.15, -0.35), (0.15, 0.35)))
model.outputters += renderer
# Add NetCDF output
print '\n-- Adding NetCDF Outputter --'
if not os.path.exists(outfiles_dir):
os.mkdir(outfiles_dir)
netcdf_file = os.path.join(outfiles_dir, 'script_tamoc.nc')
gs.remove_netcdf(netcdf_file)
file_writer = gs.NetCDFOutput(netcdf_file,
which_data='all',
output_timestep=gs.hours(2))
model.outputters += file_writer
# Add a spill object
print '\n-- Adding a Point Spill --'
end_release_time = model.start_time + gs.hours(12)
point_source = ts.TamocSpill(num_elements=100,
start_position=(0.0, 0.0, 1000.),
release_duration=gs.hours(24),
release_time=start_time,
substance='AD01554',
release_rate=20000.,
units='bbl/day',
gor=500.,
d0=0.5,
phi_0=-np.pi / 2.,
theta_0=0.,
windage_range=(0.01, 0.04),
windage_persist=900,
name='Oil Well Blowout')
model.spills += point_source
# Create an ocean environment
water, wind, waves = base_environment(water_temp=273.15 + 21.,
wind_speed=5.,
wind_dir=225.)
# Add a uniform current in the easterly direction
print '\n-- Adding Currents --'
uniform_current = gs.SimpleMover(velocity=(0.1, 0.0, 0.))
model.movers += uniform_current
# Add a wind mover
wind_mover = gs.WindMover(wind)
model.movers += wind_mover
# Add particle diffusion...note, units are in cm^2/s
print '\n-- Adding Particle Diffusion --'
particle_diffusion = gs.RandomMover3D(
horizontal_diffusion_coef_above_ml=100000.,
horizontal_diffusion_coef_below_ml=10000.,
vertical_diffusion_coef_above_ml=100.,
vertical_diffusion_coef_below_ml=10.,
mixed_layer_depth=15.)
model.movers += particle_diffusion
# Add rise velocity for droplets
print '\n-- Adding Particle Rise Velocity --'
# fixme: we do have code for rise velocity:
# gnome.movers.RiseVelocityMover
# let's test that later
slip_velocity = gs.SimpleMover(velocity=(0.0, 0.0, -0.1))
model.movers += slip_velocity
# Add dissolution
print '\n-- Adding Weathering --'
evaporation = Evaporation(water=water, wind=wind)
model.weatherers += evaporation
dissolution = Dissolution(waves=waves, wind=wind)
model.weatherers += dissolution
return model
def make_model(images_dir=os.path.join(base_dir, 'images')):
print 'initializing the model'
# set up the modeling environment
start_time = datetime(2004, 12, 31, 13, 0)
model = Model(start_time=start_time,
duration=timedelta(days=3),
time_step=30 * 60,
uncertain=False)
print 'adding the map'
model.map = GnomeMap() # this is a "water world -- no land anywhere"
# renderere is only top-down view on 2d -- but it's something
renderer = Renderer(
output_dir=images_dir,
size=(1024, 768),
output_timestep=timedelta(hours=1),
)
renderer.viewport = ((-.15, -.35), (.15, .35))
print 'adding outputters'
model.outputters += renderer
# Also going to write the results out to a netcdf file
netcdf_file = os.path.join(base_dir, 'script_plume.nc')
scripting.remove_netcdf(netcdf_file)
model.outputters += NetCDFOutput(
netcdf_file,
which_data='most',
# output most of the data associated with the elements
output_timestep=timedelta(hours=2))
print "adding Horizontal and Vertical diffusion"
# Horizontal Diffusion
# model.movers += RandomMover(diffusion_coef=5)
# vertical diffusion (different above and below the mixed layer)
model.movers += RandomVerticalMover(vertical_diffusion_coef_above_ml=5,
vertical_diffusion_coef_below_ml=.11,
mixed_layer_depth=10)
print 'adding Rise Velocity'
# droplets rise as a function of their density and radius
model.movers += RiseVelocityMover()
print 'adding a circular current and eastward current'
# This is .3 m/s south
model.movers += PyCurrentMover(current=vg,
default_num_method='Trapezoid',
extrapolate=True)
model.movers += SimpleMover(velocity=(0., -0.1, 0.))
# Now to add in the TAMOC "spill"
print "Adding TAMOC spill"
model.spills += tamoc_spill.TamocSpill(
release_time=start_time,
start_position=(0, 0, 1000),
num_elements=1000,
end_release_time=start_time + timedelta(days=1),
name='TAMOC plume',
TAMOC_interval=None, # how often to re-run TAMOC
)
return model
def make_model(images_dir=os.path.join(base_dir, 'images')):
print 'initializing the model'
start_time = datetime(2013, 2, 13, 9, 0)
# 1/2 hr in seconds
model = Model(start_time=start_time,
duration=timedelta(days=2),
time_step=30 * 60,
uncertain=False)
print 'adding the map'
mapfile = get_datafile(os.path.join(base_dir, 'GuamMap.bna'))
model.map = MapFromBNA(mapfile, refloat_halflife=6) # hours
print 'adding outputters'
renderer = Renderer(mapfile, images_dir, image_size=(800, 600))
renderer.viewport = ((144.6, 13.4), (144.7, 13.5))
model.outputters += renderer
netcdf_file = os.path.join(base_dir, 'script_guam.nc')
scripting.remove_netcdf(netcdf_file)
model.outputters += NetCDFOutput(netcdf_file, which_data='all')
print 'adding a spill'
end_time = start_time + timedelta(hours=6)
spill = point_line_release_spill(num_elements=10,
start_position=(144.664166,
13.441944, 0.0),
release_time=start_time,
end_release_time=end_time)
model.spills += spill
print 'adding a RandomMover:'
model.movers += RandomMover(diffusion_coef=50000)
print 'adding a wind mover:'
series = np.zeros((4, ), dtype=datetime_value_2d)
series[0] = (start_time, (5, 135))
series[1] = (start_time + timedelta(hours=23), (5, 135))
series[2] = (start_time + timedelta(hours=25), (5, 0))
series[3] = (start_time + timedelta(hours=48), (5, 0))
wind = Wind(timeseries=series, units='knot')
w_mover = WindMover(wind)
model.movers += w_mover
model.environment += w_mover.wind
print 'adding a cats mover:'
curr_file = get_datafile(os.path.join(base_dir, 'OutsideWAC.cur'))
c_mover = CatsMover(curr_file)
c_mover.scale = True
c_mover.scale_refpoint = (144.601, 13.42)
c_mover.scale_value = .15
model.movers += c_mover
print 'adding a cats shio mover:'
curr_file = get_datafile(os.path.join(base_dir, 'WACFloodTide.cur'))
tide_file = get_datafile(os.path.join(base_dir, 'WACFTideShioHts.txt'))
c_mover = CatsMover(curr_file, tide=Tide(tide_file))
# this is different from the value in the file!
c_mover.scale_refpoint = (144.621667, 13.45)
c_mover.scale = True
c_mover.scale_value = 1
# will need the fScaleFactor for heights files
# c_mover.time_dep.scale_factor = 1.1864
c_mover.tide.scale_factor = 1.1864
model.movers += c_mover
model.environment += c_mover.tide
return model
def make_model(images_dir=os.path.join(base_dir, 'images')):
print 'initializing the model'
start_time = datetime(2004, 12, 31, 13, 0)
# 1 day of data in file
# 1/2 hr in seconds
model = Model(start_time=start_time,
duration=timedelta(days=1),
time_step=30 * 60,
uncertain=True)
mapfile = get_datafile(os.path.join(base_dir, 'ChesapeakeBay.bna'))
print 'adding the map'
model.map = MapFromBNA(mapfile, refloat_halflife=1) # seconds
# draw_ontop can be 'uncertain' or 'forecast'
# 'forecast' LEs are in black, and 'uncertain' are in red
# default is 'forecast' LEs draw on top
renderer = Renderer(mapfile,
images_dir,
image_size=(800, 600),
output_timestep=timedelta(hours=2),
draw_ontop='forecast')
# set the viewport to zoom in on the map:
renderer.viewport = ((-76.5, 37.), (-75.8, 38.))
# add the raster map, so we can see it...
# note: this is really slow, so only use for diagnostics
# renderer.raster_map = model.map
print 'adding outputters'
model.outputters += renderer
netcdf_file = os.path.join(base_dir, 'script_chesapeake_bay.nc')
scripting.remove_netcdf(netcdf_file)
model.outputters += NetCDFOutput(netcdf_file,
which_data='all',
output_timestep=timedelta(hours=2))
print 'adding a spill'
# for now subsurface spill stays on initial layer
# - will need diffusion and rise velocity
# - wind doesn't act
# - start_position = (-76.126872, 37.680952, 5.0),
spill = point_line_release_spill(num_elements=1000,
start_position=(-76.126872, 37.680952,
0.0),
release_time=start_time)
model.spills += spill
print 'adding a RandomMover:'
model.movers += RandomMover(diffusion_coef=50000)
print 'adding a wind mover:'
series = np.zeros((2, ), dtype=datetime_value_2d)
series[0] = (start_time, (30, 0))
series[1] = (start_time + timedelta(hours=23), (30, 0))
wind = Wind(timeseries=series, units='knot')
# default is .4 radians
w_mover = WindMover(wind, uncertain_angle_scale=0)
wind.extrapolation_is_allowed = True
model.movers += w_mover
print 'adding a current mover:'
curr_file = get_datafile(os.path.join(base_dir, 'ChesapeakeBay.nc'))
topology_file = get_datafile(os.path.join(base_dir, 'ChesapeakeBay.dat'))
# uncertain_time_delay in hours
c_mover = GridCurrentMover(curr_file,
topology_file,
uncertain_time_delay=3)
c_mover.uncertain_along = 0 # default is .5
# c_mover.uncertain_cross = 0 # default is .25
model.movers += c_mover
return model
def make_model(images_dir=os.path.join(base_dir, 'images')):
print 'initializing the model'
start_time = datetime(1985, 1, 1, 13, 31)
# 1 day of data in file
# 1/2 hr in seconds
model = Model(start_time=start_time,
duration=timedelta(days=4),
time_step=3600 * 2)
# mapfile = get_datafile(os.path.join(base_dir, 'ak_arctic.bna'))
mapfile = get_datafile('arctic_coast3.bna')
print 'adding the map'
model.map = MapFromBNA(mapfile, refloat_halflife=0.0) # seconds
print 'adding a spill'
# for now subsurface spill stays on initial layer
# - will need diffusion and rise velocity
# - wind doesn't act
# - start_position = (-76.126872, 37.680952, 5.0),
# spill1 = point_line_release_spill(num_elements=10000,
# start_position=(-163.75,
# 69.75,
# 0.0),
# release_time=start_time)
#
spill1 = point_line_release_spill(num_elements=100,
start_position=(196.25, 69.75, 0.0),
release_time=start_time)
model.spills += spill1
# model.spills += spill2
print 'adding a wind mover:'
# model.movers += constant_wind_mover(0.5, 0, units='m/s')
print 'adding a current mover:'
fn = ['arctic_avg2_0001_gnome.nc', 'arctic_avg2_0002_gnome.nc']
gt = {'node_lon': 'lon', 'node_lat': 'lat'}
# fn='arctic_avg2_0001_gnome.nc'
wind_method = 'Euler'
method = 'Trapezoid'
print 'adding outputters'
# draw_ontop can be 'uncertain' or 'forecast'
# 'forecast' LEs are in black, and 'uncertain' are in red
# default is 'forecast' LEs draw on top
# renderer = Renderer(mapfile, images_dir, image_size=(1024, 768))
# model.outputters += renderer
netcdf_file = os.path.join(base_dir,
str(model.time_step / 60) + method + '.nc')
scripting.remove_netcdf(netcdf_file)
print 'adding movers'
model.outputters += NetCDFOutput(netcdf_file, which_data='all')
ice_aware_curr = IceAwareCurrent.from_netCDF(filename=fn, grid_topology=gt)
ice_aware_wind = IceAwareWind.from_netCDF(
filename=fn,
ice_var=ice_aware_curr.ice_var,
ice_conc_var=ice_aware_curr.ice_conc_var,
grid=ice_aware_curr.grid,
)
# i_c_mover = PyGridCurrentMover(current=ice_aware_curr)
# i_c_mover = PyGridCurrentMover(current=ice_aware_curr, default_num_method='Euler')
i_c_mover = PyGridCurrentMover(current=ice_aware_curr,
default_num_method=method)
i_w_mover = PyWindMover(wind=ice_aware_wind,
default_num_method=wind_method)
# ice_aware_curr.grid.node_lon = ice_aware_curr.grid.node_lon[:]-360
# ice_aware_curr.grid.build_celltree()
model.movers += i_c_mover
model.movers += i_w_mover
print 'adding an IceAwareRandomMover:'
model.movers += IceAwareRandomMover(
ice_conc_var=ice_aware_curr.ice_conc_var, diffusion_coef=1000)
# renderer.add_grid(ice_aware_curr.grid)
# renderer.add_vec_prop(ice_aware_curr)
# renderer.set_viewport(((-190.9, 60), (-72, 89)))
# curr_file = get_datafile(os.path.join(base_dir, 'COOPSu_CREOFS24.nc'))
# c_mover = GridCurrentMover(curr_file)
# model.movers += c_mover
return model
def make_model(images_dir=os.path.join(base_dir, 'images')):
print 'initializing the model'
start_time = datetime(2004, 12, 31, 13, 0)
model = gnome.model.Model(start_time=start_time,
duration=timedelta(days=1), time_step=30
* 60, uncertain=True) # 1 day of data in file
# 1/2 hr in seconds
mapfile = get_datafile(os.path.join(base_dir, './ChesapeakeBay.bna'
))
print 'adding the map'
model.map = gnome.map.MapFromBNA(mapfile, refloat_halflife=1) # seconds
# draw_ontop can be 'uncertain' or 'forecast'
# 'forecast' LEs are in black, and 'uncertain' are in red
# default is 'forecast' LEs draw on top
renderer = gnome.renderer.Renderer(mapfile,
images_dir,
size=(800, 600),
output_timestep=timedelta(hours=2),
draw_ontop='uncertain'
)
renderer.viewport = ((-76.5, 37.), (-75.8, 38.))
print 'adding outputters'
model.outputters += renderer
netcdf_file = os.path.join(base_dir, 'script_chesapeake_bay.nc')
scripting.remove_netcdf(netcdf_file)
model.outputters += \
gnome.netcdf_outputter.NetCDFOutput(netcdf_file, all_data=True,
output_timestep=timedelta(hours=2))
print 'adding a spill'
# for now subsurface spill stays on initial layer - will need diffusion and rise velocity - wind doesn't act
spill = gnome.spill.PointLineSource(num_elements=1000,
start_position=(-76.126872, 37.680952, 0.0),
release_time=start_time) # start_position = (-76.126872, 37.680952, 5.0),
model.spills += spill
print 'adding a RandomMover:'
r_mover = gnome.movers.RandomMover(diffusion_coef=50000)
model.movers += r_mover
print 'adding a wind mover:'
series = np.zeros((2, ), dtype=gnome.basic_types.datetime_value_2d)
series[0] = (start_time, (30, 0))
series[1] = (start_time + timedelta(hours=23), (30, 0))
wind = Wind(timeseries=series, units='knot')
w_mover = gnome.movers.WindMover(wind, uncertain_angle_scale=0) # default is .4 radians
model.movers += w_mover
print 'adding a current mover:'
curr_file = get_datafile(os.path.join(base_dir,
r"./ChesapeakeBay.nc"))
topology_file = get_datafile(os.path.join(base_dir,
r"./ChesapeakeBay.dat"))
c_mover = gnome.movers.GridCurrentMover(curr_file, topology_file, uncertain_time_delay = 3) # uncertain_time_delay in hours
c_mover.uncertain_along = 0 # default is .5
#c_mover.uncertain_cross = 0 # default is .25
model.movers += c_mover
return model
def make_model(images_dir=os.path.join(base_dir, 'images')):
# create the maps:
print 'creating the maps'
mapfile = get_datafile(os.path.join(base_dir, 'DelawareRiverMap.bna'))
gnome_map = MapFromBNA(mapfile, refloat_halflife=1) # hours
renderer = Renderer(mapfile, images_dir, image_size=(800, 800),
projection_class=GeoProjection)
print 'initializing the model'
start_time = datetime(2012, 8, 20, 13, 0)
# 15 minutes in seconds
# Default to now, rounded to the nearest hour
model = Model(time_step=900, start_time=start_time,
duration=timedelta(days=1),
map=gnome_map, uncertain=False)
print 'adding outputters'
model.outputters += renderer
netcdf_file = os.path.join(base_dir, 'script_delaware_bay.nc')
scripting.remove_netcdf(netcdf_file)
model.outputters += NetCDFOutput(netcdf_file, which_data='all')
print 'adding a RandomMover:'
model.movers += RandomMover(diffusion_coef=100000)
print 'adding a wind mover:'
# wind_file = get_datafile(os.path.join(base_dir, 'ConstantWind.WND'))
# wind = Wind(filename=wind_file)
series = np.zeros((2, ), dtype=datetime_value_2d)
series[0] = (start_time, (5, 270))
series[1] = (start_time + timedelta(hours=25), (5, 270))
wind = Wind(timeseries=series, units='m/s')
# w_mover = WindMover(Wind(timeseries=series, units='knots'))
w_mover = WindMover(wind)
model.movers += w_mover
print 'adding a cats shio mover:'
curr_file = get_datafile(os.path.join(base_dir, 'FloodTides.cur'))
tide_file = get_datafile(os.path.join(base_dir, 'FloodTidesShio.txt'))
c_mover = CatsMover(curr_file, tide=Tide(tide_file))
# this is the value in the file (default)
c_mover.scale_refpoint = (-75.081667, 38.7995)
c_mover.scale = True
c_mover.scale_value = 1
model.movers += c_mover
# TODO: cannot add this till environment base class is created
model.environment += c_mover.tide
print 'adding a cats mover:'
curr_file = get_datafile(os.path.join(base_dir, 'Offshore.cur'))
c_mover = CatsMover(curr_file)
# but do need to scale (based on river stage)
c_mover.scale = True
c_mover.scale_refpoint = (-74.7483333, 38.898333)
c_mover.scale_value = .03
model.movers += c_mover
#
# these are from windows they don't match Mac values...
# pat1Angle 315;
# pat1Speed 30; pat1SpeedUnits knots;
# pat1ScaleToValue 0.314426
#
# pat2Angle 225;
# pat2Speed 30; pat2SpeedUnits knots;
# pat2ScaleToValue 0.032882
# scaleBy WindStress
print 'adding a component mover:'
# if only using one current pattern
# comp_mover = ComponentMover(curr_file1, None, wind)
#
# todo: following is not working when model is saved out - fix
# comp_mover = ComponentMover(curr_file1, curr_file2,
# Wind(timeseries=series, units='m/s'))
# comp_mover = ComponentMover(curr_file1, curr_file2,
# wind=Wind(filename=wind_file))
curr_file1 = get_datafile(os.path.join(base_dir, 'NW30ktwinds.cur'))
curr_file2 = get_datafile(os.path.join(base_dir, 'SW30ktwinds.cur'))
comp_mover = ComponentMover(curr_file1, curr_file2, wind)
comp_mover.scale_refpoint = (-75.263166, 39.1428333)
comp_mover.pat1_angle = 315
comp_mover.pat1_speed = 30
comp_mover.pat1_speed_units = 1
# comp_mover.pat1ScaleToValue = .314426
comp_mover.pat1_scale_to_value = .502035
comp_mover.pat2_angle = 225
comp_mover.pat2_speed = 30
comp_mover.pat2_speed_units = 1
# comp_mover.pat2ScaleToValue = .032882
comp_mover.pat2_scale_to_value = .021869
model.movers += comp_mover
print 'adding a spill'
end_time = start_time + timedelta(hours=12)
spill = point_line_release_spill(num_elements=1000,
release_time=start_time,
# end_release_time=end_time,
start_position=(-75.262319,
39.142987, 0.0),
)
model.spills += spill
return model
def make_model(images_dir=os.path.join(base_dir, 'images')):
print 'initializing the model'
start_time = datetime(2004, 12, 31, 13, 0)
model = Model(start_time=start_time, duration=timedelta(days=3),
time_step=30 * 60, uncertain=False)
print 'adding the map'
model.map = GnomeMap()
# draw_ontop can be 'uncertain' or 'forecast'
# 'forecast' LEs are in black, and 'uncertain' are in red
# default is 'forecast' LEs draw on top
renderer = Renderer(images_dir=images_dir,
#size=(800, 600),
output_timestep=timedelta(hours=1),
draw_ontop='uncertain')
renderer.viewport = ((-76.5, 37.), (-75.8, 38.))
print 'adding outputters'
model.outputters += renderer
netcdf_file = os.path.join(base_dir, 'script_plume.nc')
scripting.remove_netcdf(netcdf_file)
model.outputters += NetCDFOutput(netcdf_file, which_data='most',
output_timestep=timedelta(hours=2))
print 'adding two spills'
# Break the spill into two spills, first with the larger droplets
# and second with the smaller droplets.
# Split the total spill volume (100 m^3) to have most
# in the larger droplet spill.
# Smaller droplets start at a lower depth than larger
wd = WeibullDistribution(alpha=1.8, lambda_=.00456,
min_=.0002) # 200 micron min
end_time = start_time + timedelta(hours=24)
spill = point_line_release_spill(num_elements=1000,
volume=90, # default volume_units=m^3
start_position=(-76.126872, 37.680952,
1700),
release_time=start_time,
end_release_time=end_time,
element_type=plume(distribution=wd))
model.spills += spill
wd = WeibullDistribution(alpha=1.8, lambda_=.00456,
max_=.0002) # 200 micron max
spill = point_line_release_spill(num_elements=1000, volume=10,
start_position=(-76.126872, 37.680952,
1800),
release_time=start_time,
element_type=plume(distribution=wd))
model.spills += spill
print 'adding a RandomMover:'
model.movers += RandomMover(diffusion_coef=50000)
print 'adding a RiseVelocityMover:'
model.movers += RiseVelocityMover()
print 'adding a RandomVerticalMover:'
model.movers += RandomVerticalMover(vertical_diffusion_coef_above_ml=5,
vertical_diffusion_coef_below_ml=.11,
mixed_layer_depth=10)
# print 'adding a wind mover:'
# series = np.zeros((2, ), dtype=gnome.basic_types.datetime_value_2d)
# series[0] = (start_time, (30, 90))
# series[1] = (start_time + timedelta(hours=23), (30, 90))
# wind = Wind(timeseries=series, units='knot')
#
# default is .4 radians
# w_mover = gnome.movers.WindMover(wind, uncertain_angle_scale=0)
#
# model.movers += w_mover
print 'adding a simple mover:'
s_mover = SimpleMover(velocity=(0.0, -.1, 0.0))
model.movers += s_mover
return model
def make_model(images_dir=os.path.join(base_dir, "images")):
print "initializing the model"
start_time = datetime(2012, 9, 15, 12, 0)
mapfile = get_datafile(os.path.join(base_dir, "./LongIslandSoundMap.BNA"))
gnome_map = gnome.map.MapFromBNA(mapfile, refloat_halflife=6) # hours
# # the image output renderer
# global renderer
renderer = gnome.renderer.Renderer(mapfile, images_dir, size=(800, 600))
# renderer.viewport = ((-72.75, 41.1),(-72.34, 41.3))
model = gnome.model.Model( # one hour in seconds
start_time=start_time,
duration=timedelta(hours=48),
time_step=3600,
map=gnome_map,
uncertain=True,
cache_enabled=True,
)
print "adding outputters"
model.outputters += renderer
netcdf_file = os.path.join(base_dir, "script_long_island.nc")
scripting.remove_netcdf(netcdf_file)
model.outputters += gnome.netcdf_outputter.NetCDFOutput(netcdf_file, all_data=True)
print "adding a spill"
spill = gnome.spill.PointLineSource(
num_elements=1000, start_position=(-72.419992, 41.202120, 0.0), release_time=start_time
)
model.spills += spill
print "adding a RandomMover:"
r_mover = gnome.movers.RandomMover(diffusion_coef=500000)
model.movers += r_mover
print "adding a wind mover:"
series = np.zeros((5,), dtype=gnome.basic_types.datetime_value_2d)
series[0] = (start_time, (10, 45))
series[1] = (start_time + timedelta(hours=18), (10, 90))
series[2] = (start_time + timedelta(hours=30), (10, 135))
series[3] = (start_time + timedelta(hours=42), (10, 180))
series[4] = (start_time + timedelta(hours=54), (10, 225))
wind = Wind(timeseries=series, units="m/s")
w_mover = gnome.movers.WindMover(wind)
model.movers += w_mover
print "adding a cats mover:"
curr_file = get_datafile(os.path.join(base_dir, r"./LI_tidesWAC.CUR"))
tide_file = get_datafile(os.path.join(base_dir, r"./CLISShio.txt"))
c_mover = gnome.movers.CatsMover(curr_file, tide=Tide(tide_file))
model.movers += c_mover
model.environment += c_mover.tide
print "viewport is:", renderer.viewport
return model
def make_model(images_dir=os.path.join(base_dir, 'images')):
print 'initializing the model'
# set up the modeling environment
start_time = datetime(2016, 9, 23, 0, 0)
model = Model(start_time=start_time,
duration=timedelta(days=2),
time_step=30 * 60,
uncertain=False)
print 'adding the map'
model.map = GnomeMap() # this is a "water world -- no land anywhere"
# renderere is only top-down view on 2d -- but it's something
renderer = Renderer(output_dir=images_dir,
image_size=(1024, 768),
output_timestep=timedelta(hours=1),
)
renderer.viewport = ((196.14, 71.89), (196.18, 71.93))
print 'adding outputters'
model.outputters += renderer
# Also going to write the results out to a netcdf file
netcdf_file = os.path.join(base_dir, 'script_arctic_plume.nc')
scripting.remove_netcdf(netcdf_file)
model.outputters += NetCDFOutput(netcdf_file,
which_data='most',
# output most of the data associated with the elements
output_timestep=timedelta(hours=2))
print "adding Horizontal and Vertical diffusion"
# Horizontal Diffusion
model.movers += RandomMover(diffusion_coef=500)
# vertical diffusion (different above and below the mixed layer)
model.movers += RandomVerticalMover(vertical_diffusion_coef_above_ml=5,
vertical_diffusion_coef_below_ml=.11,
mixed_layer_depth=10)
print 'adding Rise Velocity'
# droplets rise as a function of their density and radius
model.movers += TamocRiseVelocityMover()
print 'adding a circular current and eastward current'
fn = 'hycom_glb_regp17_2016092300_subset.nc'
fn_ice = 'hycom-cice_ARCu0.08_046_2016092300_subset.nc'
iconc = IceConcentration.from_netCDF(filename=fn_ice)
ivel = IceVelocity.from_netCDF(filename=fn_ice, grid = iconc.grid)
ic = IceAwareCurrent.from_netCDF(ice_concentration = iconc, ice_velocity= ivel, filename=fn)
model.movers += PyCurrentMover(current = ic)
model.movers += SimpleMover(velocity=(0., 0., 0.))
model.movers += constant_wind_mover(20, 315, units='knots')
# Now to add in the TAMOC "spill"
print "Adding TAMOC spill"
model.spills += tamoc_spill.TamocSpill(release_time=start_time,
start_position=(196.16, 71.91, 40.0),
num_elements=1000,
end_release_time=start_time + timedelta(days=1),
name='TAMOC plume',
TAMOC_interval=None, # how often to re-run TAMOC
)
model.spills[0].data_sources['currents'] = ic
return model
def make_model(images_dir=os.path.join(base_dir, 'images')):
print 'initializing the model'
start_time = datetime(2012, 10, 25, 0, 1)
# start_time = datetime(2015, 12, 18, 06, 01)
# 1 day of data in file
# 1/2 hr in seconds
model = Model(start_time=start_time,
duration=timedelta(hours=2),
time_step=900)
mapfile = get_datafile(os.path.join(base_dir, 'nyharbor.bna'))
print 'adding the map'
'''TODO: sort out MapFromBna's map_bounds parameter...
it does nothing right now, and the spill is out of bounds'''
model.map = MapFromBNA(mapfile, refloat_halflife=0.0) # seconds
# draw_ontop can be 'uncertain' or 'forecast'
# 'forecast' LEs are in black, and 'uncertain' are in red
# default is 'forecast' LEs draw on top
renderer = Renderer(mapfile, images_dir, image_size=(1024, 768))
# renderer.viewport = ((-73.5, 40.5), (-73.1, 40.75))
# renderer.viewport = ((-122.9, 45.6), (-122.6, 46.0))
print 'adding outputters'
model.outputters += renderer
netcdf_file = os.path.join(base_dir, 'script_ny_plume.nc')
scripting.remove_netcdf(netcdf_file)
model.outputters += NetCDFOutput(netcdf_file, which_data='all')
print 'adding two spills'
# Break the spill into two spills, first with the larger droplets
# and second with the smaller droplets.
# Split the total spill volume (100 m^3) to have most
# in the larger droplet spill.
# Smaller droplets start at a lower depth than larger
end_time = start_time + model.duration
# wd = WeibullDistribution(alpha=1.8,
# lambda_=.00456,
# min_=.0002) # 200 micron min
#
# spill = subsurface_plume_spill(num_elements=10,
# start_position=(-74.15,
# 40.5,
# 7.2),
# release_time=start_time,
# distribution=wd,
# amount=90, # default volume_units=m^3
# units='m^3',
# end_release_time=end_time,
# density=600)
#
# model.spills += spill
# wd = WeibullDistribution(alpha=1.8,
# lambda_=.00456,
# max_=.0002) # 200 micron max
wd = UniformDistribution(low=.0002,
high=.0002)
spill = point_line_release_spill(num_elements=10, amount=90,
units='m^3',
start_position=(-74.15,
40.5,
7.2),
release_time=start_time,
element_type=plume(distribution=wd,
substance_name='ALASKA NORTH SLOPE (MIDDLE PIPELINE)')
)
model.spills += spill
print 'adding a RandomMover:'
model.movers += RandomMover(diffusion_coef=50000)
print 'adding a RiseVelocityMover:'
model.movers += RiseVelocityMover()
print 'adding a RandomVerticalMover:'
# model.movers += RandomVerticalMover(vertical_diffusion_coef_above_ml=5,
# vertical_diffusion_coef_below_ml=.11,
# mixed_layer_depth=10)
url = ('http://geoport.whoi.edu/thredds/dodsC/clay/usgs/users/jcwarner/Projects/Sandy/triple_nest/00_dir_NYB05.ncml')
gc = GridCurrent.from_netCDF(url)
u_mover = PyGridCurrentMover(gc, default_num_method='Trapezoid')
model.movers += u_mover
# print 'adding a wind mover:'
# series = np.zeros((2, ), dtype=gnome.basic_types.datetime_value_2d)
# series[0] = (start_time, (30, 90))
# series[1] = (start_time + timedelta(hours=23), (30, 90))
# wind = Wind(timeseries=series, units='knot')
#
# default is .4 radians
# w_mover = gnome.movers.WindMover(wind, uncertain_angle_scale=0)
#
# model.movers += w_mover
print 'adding a simple mover:'
# s_mover = SimpleMover(velocity=(0.0, -.3, 0.0))
# model.movers += s_mover
return model
def make_model(images_dir=os.path.join(base_dir, 'images')):
print 'initializing the model'
start_time = datetime(2013, 2, 13, 9, 0)
# 1/2 hr in seconds
model = Model(start_time=start_time,
duration=timedelta(days=2),
time_step=30 * 60,
uncertain=False)
print 'adding the map'
mapfile = get_datafile(os.path.join(base_dir, 'GuamMap.bna'))
model.map = MapFromBNA(mapfile, refloat_halflife=6) # hours
print 'adding outputters'
renderer = Renderer(mapfile, images_dir, image_size=(800, 600))
renderer.viewport = ((144.6, 13.4), (144.7, 13.5))
model.outputters += renderer
netcdf_file = os.path.join(base_dir, 'script_guam.nc')
scripting.remove_netcdf(netcdf_file)
model.outputters += NetCDFOutput(netcdf_file, which_data='all')
print 'adding a spill'
end_time = start_time + timedelta(hours=6)
spill = point_line_release_spill(num_elements=10,
start_position=(144.664166, 13.441944,
0.0),
release_time=start_time,
end_release_time=end_time)
model.spills += spill
print 'adding a RandomMover:'
model.movers += RandomMover(diffusion_coef=50000)
print 'adding a wind mover:'
series = np.zeros((4, ), dtype=datetime_value_2d)
series[0] = (start_time, (5, 135))
series[1] = (start_time + timedelta(hours=23), (5, 135))
series[2] = (start_time + timedelta(hours=25), (5, 0))
series[3] = (start_time + timedelta(hours=48), (5, 0))
wind = Wind(timeseries=series, units='knot')
w_mover = WindMover(wind)
model.movers += w_mover
model.environment += w_mover.wind
print 'adding a cats mover:'
curr_file = get_datafile(os.path.join(base_dir, 'OutsideWAC.cur'))
c_mover = CatsMover(curr_file)
c_mover.scale = True
c_mover.scale_refpoint = (144.601, 13.42)
c_mover.scale_value = .15
model.movers += c_mover
print 'adding a cats shio mover:'
curr_file = get_datafile(os.path.join(base_dir, 'WACFloodTide.cur'))
tide_file = get_datafile(os.path.join(base_dir, 'WACFTideShioHts.txt'))
c_mover = CatsMover(curr_file, tide=Tide(tide_file))
# this is different from the value in the file!
c_mover.scale_refpoint = (144.621667, 13.45)
c_mover.scale = True
c_mover.scale_value = 1
# will need the fScaleFactor for heights files
# c_mover.time_dep.scale_factor = 1.1864
c_mover.tide.scale_factor = 1.1864
model.movers += c_mover
model.environment += c_mover.tide
return model
def make_model(images_dir=os.path.join(base_dir, 'images')):
# create the maps:
print 'creating the maps'
mapfile = gs.get_datafile(os.path.join(base_dir, './MassBayMap.bna'))
gnome_map = gs.MapFromBNA(
mapfile,
refloat_halflife=1, # hours
raster_size=2048 * 2048 # about 4 MB
)
renderer = gs.Renderer(mapfile,
images_dir,
image_size=(800, 800),
projection_class=GeoProjection)
print 'initializing the model'
# start_time = datetime(2013, 3, 12, 10, 0)
start_time = "2013-03-12T10:00"
# 15 minutes in seconds
# Default to now, rounded to the nearest hour
model = gs.Model(time_step=gs.minutes(15),
start_time=start_time,
duration=gs.days(1),
map=gnome_map,
uncertain=True)
print 'adding outputters'
model.outputters += renderer
netcdf_file = os.path.join(base_dir, 'script_boston.nc')
gs.remove_netcdf(netcdf_file)
model.outputters += gs.NetCDFOutput(netcdf_file, which_data='all')
model.outputters += gs.KMZOutput(
os.path.join(base_dir, 'script_boston.kmz'))
print 'adding a RandomMover:'
model.movers += gs.RandomMover(diffusion_coef=100000)
print 'adding a wind mover:'
# series = np.zeros((2, ), dtype=datetime_value_2d)
# series[0] = (start_time, (5, 180))
# series[1] = (start_time + timedelta(hours=25), (5, 180))
# w_mover = WindMover(Wind(timeseries=series, units='m/s'))
# model.movers += w_mover
# model.environment += w_mover.wind
w_mover = gs.constant_wind_mover(5, 180, units='m/s')
model.movers += w_mover
print 'adding a cats shio mover:'
curr_file = gs.get_datafile(os.path.join(base_dir, r"./EbbTides.cur"))
tide_file = gs.get_datafile(os.path.join(base_dir, r"./EbbTidesShio.txt"))
c_mover = gs.CatsMover(curr_file, tide=gs.Tide(tide_file))
# this is the value in the file (default)
c_mover.scale_refpoint = (-70.8875, 42.321333)
c_mover.scale = True
c_mover.scale_value = -1
model.movers += c_mover
# TODO: cannot add this till environment base class is created
# model.environment += c_mover.tide
print 'adding a cats ossm mover:'
# ossm_file = get_datafile(os.path.join(base_dir,
# r"./MerrimackMassCoastOSSM.txt"))
curr_file = gs.get_datafile(
os.path.join(base_dir, "MerrimackMassCoast.cur"))
tide_file = gs.get_datafile(
os.path.join(base_dir, "MerrimackMassCoastOSSM.txt"))
c_mover = gs.CatsMover(curr_file, tide=gs.Tide(tide_file))
# but do need to scale (based on river stage)
c_mover.scale = True
c_mover.scale_refpoint = (-70.65, 42.58333)
c_mover.scale_value = 1.
model.movers += c_mover
model.environment += c_mover.tide
print 'adding a cats mover:'
curr_file = gs.get_datafile(os.path.join(base_dir, "MassBaySewage.cur"))
c_mover = gs.CatsMover(curr_file)
# but do need to scale (based on river stage)
c_mover.scale = True
c_mover.scale_refpoint = (-70.78333, 42.39333)
# the scale factor is 0 if user inputs no sewage outfall effects
c_mover.scale_value = .04
model.movers += c_mover
# pat1Angle 315;
# pat1Speed 19.44; pat1SpeedUnits knots;
# pat1ScaleToValue 0.138855
#
# pat2Angle 225;
# pat2Speed 19.44; pat2SpeedUnits knots;
# pat2ScaleToValue 0.05121
#
# scaleBy WindStress
print "adding a component mover:"
component_file1 = gs.get_datafile(os.path.join(base_dir, "WAC10msNW.cur"))
component_file2 = gs.get_datafile(os.path.join(base_dir, "WAC10msSW.cur"))
comp_mover = gs.ComponentMover(component_file1, component_file2,
w_mover.wind)
# todo: callback did not work correctly below - fix!
# comp_mover = ComponentMover(component_file1,
# component_file2,
# Wind(timeseries=series, units='m/s'))
comp_mover.scale_refpoint = (-70.855, 42.275)
comp_mover.pat1_angle = 315
comp_mover.pat1_speed = 19.44
comp_mover.pat1_speed_units = 1
comp_mover.pat1ScaleToValue = .138855
comp_mover.pat2_angle = 225
comp_mover.pat2_speed = 19.44
comp_mover.pat2_speed_units = 1
comp_mover.pat2ScaleToValue = .05121
model.movers += comp_mover
print 'adding a spill'
end_time = gs.asdatetime(start_time) + gs.hours(12)
spill = gs.point_line_release_spill(num_elements=100,
start_position=(-70.911432, 42.369142,
0.0),
release_time=start_time,
end_release_time=end_time)
model.spills += spill
return model
def make_model(images_dir=os.path.join(base_dir, 'images')):
print('get contiguous')
kml_file = os.path.join(base_dir, 'contigua.kml')
with open(kml_file) as f:
contiguous = parser.parse(f).getroot().Document
coordinates = contiguous.Placemark.LineString.coordinates.text.split(' ')
cont_coord = []
for x in coordinates:
x = x.split(',')
if len(x) > 1 and float(x[1]) > -12 and float(x[1]) < -3:
cont_coord.append([float(x[0]), float(x[1])])
print('initializing the model')
start_time = datetime(2022, 1, 22, 12, 0)
mapfile = get_datafile(os.path.join(base_dir, './brazil-coast.BNA'))
gnome_map = MapFromBNA(mapfile, refloat_halflife=6) # hours
duration = timedelta(days=1)
timestep = timedelta(minutes=5)
end_time = start_time + duration
steps = duration.total_seconds() / timestep.total_seconds()
print("Total step: %.4i " % (steps))
# one hour timestep
model = Model(start_time=start_time,
duration=duration,
time_step=timestep,
map=gnome_map,
uncertain=False,
cache_enabled=False)
oil_name = 'GENERIC MEDIUM CRUDE'
wd = UniformDistribution(low=.0002, high=.0002)
subs = GnomeOil(oil_name, initializers=plume_initializers(distribution=wd))
#model.spills += point_line_release_spill(release_time=start_time, start_position=(-35.153, -8.999, 0.0), num_elements=1000, end_release_time=end_time, substance= subs, units='kg')
#model.spills += point_line_release_spill(release_time=start_time, start_position=(-35.176, -9.135, 0.0), num_elements=1000, end_release_time=end_time, substance= subs, units='kg')
#model.spills += point_line_release_spill(release_time=start_time, start_position=(-35.062, -9.112, 0.0), num_elements=1000, end_release_time=end_time, substance= subs, units='kg')
#model.spills += point_line_release_spill(release_time=start_time, start_position=(-34.994, -9.248, 0.0), num_elements=1000, end_release_time=end_time, substance= subs, units='kg')
for idx in range(0, len(cont_coord)):
model.spills += point_line_release_spill(
num_elements=500,
start_position=(cont_coord[idx][0], cont_coord[idx][1], 0.0),
release_time=start_time,
end_release_time=start_time + timedelta(days=1),
amount=500,
substance=subs,
units='kg')
#shp_file = os.path.join(base_dir, 'surface_concentration')
#scripting.remove_netcdf(shp_file + ".zip")
#model.outputters += ShapeOutput(shp_file,
# zip_output=False,
# surface_conc="kde",
# )
print('adding movers:')
print('adding a RandomMover:')
model.movers += RandomMover(diffusion_coef=10000)
print('adding a current mover:')
# # this is HYCOM currents
curr_file = get_datafile(os.path.join(base_dir, 'currents.nc'))
model.movers += GridCurrentMover(curr_file, num_method='Euler')
print('adding a grid wind mover:')
wind_file = get_datafile(os.path.join(base_dir, 'wind.nc'))
#topology_file = get_datafile(os.path.join(base_dir, 'WindSpeedDirSubsetTop.dat'))
#w_mover = GridWindMover(wind_file, topology_file)
w_mover = GridWindMover(wind_file)
w_mover.uncertain_speed_scale = 1
w_mover.uncertain_angle_scale = 0.2 # default is .4
w_mover.wind_scale = 2
model.movers += w_mover
print('adding outputters')
renderer = Renderer(mapfile,
images_dir,
image_size=(900, 600),
output_timestep=timestep,
draw_ontop='forecast')
#set the viewport to zoom in on the map:
#renderer.viewport = ((-37, -11), (-34, -8)) #alagoas
renderer.viewport = ((-36, -10), (-30, 5))
model.outputters += renderer
netcdf_file = os.path.join(base_dir, 'contigua.nc')
scripting.remove_netcdf(netcdf_file)
model.outputters += NetCDFOutput(netcdf_file,
which_data='standard',
surface_conc='kde')
return model
def make_model(images_dir=os.path.join(base_dir, 'images')):
print 'initializing the model'
# set up the modeling environment
start_time = datetime(2016, 9, 23, 0, 0)
model = Model(start_time=start_time,
duration=timedelta(days=2),
time_step=30 * 60,
uncertain=False)
print 'adding the map'
model.map = GnomeMap() # this is a "water world -- no land anywhere"
# renderere is only top-down view on 2d -- but it's something
renderer = Renderer(output_dir=images_dir,
image_size=(1024, 768),
output_timestep=timedelta(hours=1),
)
renderer.viewport = ((196.14, 71.89), (196.18, 71.93))
print 'adding outputters'
model.outputters += renderer
# Also going to write the results out to a netcdf file
netcdf_file = os.path.join(base_dir, 'script_arctic_plume.nc')
scripting.remove_netcdf(netcdf_file)
model.outputters += NetCDFOutput(netcdf_file,
which_data='most',
# output most of the data associated with the elements
output_timestep=timedelta(hours=2))
print "adding Horizontal and Vertical diffusion"
# Horizontal Diffusion
model.movers += RandomMover(diffusion_coef=500)
# vertical diffusion (different above and below the mixed layer)
model.movers += RandomMover3D(vertical_diffusion_coef_above_ml=5,
vertical_diffusion_coef_below_ml=.11,
mixed_layer_depth=10)
print 'adding Rise Velocity'
# droplets rise as a function of their density and radius
model.movers += TamocRiseVelocityMover()
print 'adding a circular current and eastward current'
fn = 'hycom_glb_regp17_2016092300_subset.nc'
fn_ice = 'hycom-cice_ARCu0.08_046_2016092300_subset.nc'
iconc = IceConcentration.from_netCDF(filename=fn_ice)
ivel = IceVelocity.from_netCDF(filename=fn_ice, grid = iconc.grid)
ic = IceAwareCurrent.from_netCDF(ice_concentration = iconc, ice_velocity= ivel, filename=fn)
model.movers += PyCurrentMover(current = ic)
model.movers += SimpleMover(velocity=(0., 0., 0.))
model.movers += constant_wind_mover(20, 315, units='knots')
# Now to add in the TAMOC "spill"
print "Adding TAMOC spill"
model.spills += tamoc_spill.TamocSpill(release_time=start_time,
start_position=(196.16, 71.91, 40.0),
num_elements=1000,
end_release_time=start_time + timedelta(days=1),
name='TAMOC plume',
TAMOC_interval=None, # how often to re-run TAMOC
)
model.spills[0].data_sources['currents'] = ic
return model
def make_model(images_dir=os.path.join(base_dir, 'images')):
# create the maps:
print 'creating the maps'
mapfile = gs.get_datafile(os.path.join(base_dir, './MassBayMap.bna'))
gnome_map = gs.MapFromBNA(mapfile,
refloat_halflife=1, # hours
raster_size=2048 * 2048 # about 4 MB
)
renderer = gs.Renderer(mapfile,
images_dir,
image_size=(800, 800),
projection_class=GeoProjection)
print 'initializing the model'
# start_time = datetime(2013, 3, 12, 10, 0)
start_time = "2013-03-12T10:00"
# 15 minutes in seconds
# Default to now, rounded to the nearest hour
model = gs.Model(time_step=gs.minute(15),
start_time=start_time,
duration=gs.days(1),
map=gnome_map,
uncertain=True)
print 'adding outputters'
model.outputters += renderer
netcdf_file = os.path.join(base_dir, 'script_boston.nc')
gs.remove_netcdf(netcdf_file)
model.outputters += gs.NetCDFOutput(netcdf_file, which_data='all')
model.outputters += gs.KMZOutput(os.path.join(base_dir, 'script_boston.kmz'))
print 'adding a RandomMover:'
model.movers += gs.RandomMover(diffusion_coef=100000)
print 'adding a wind mover:'
# series = np.zeros((2, ), dtype=datetime_value_2d)
# series[0] = (start_time, (5, 180))
# series[1] = (start_time + timedelta(hours=25), (5, 180))
# w_mover = WindMover(Wind(timeseries=series, units='m/s'))
# model.movers += w_mover
# model.environment += w_mover.wind
w_mover = gs.constant_wind_mover(5, 180, units='m/s')
model.movers += w_mover
print 'adding a cats shio mover:'
curr_file = gs.get_datafile(os.path.join(base_dir, r"./EbbTides.cur"))
tide_file = gs.get_datafile(os.path.join(base_dir, r"./EbbTidesShio.txt"))
c_mover = gs.CatsMover(curr_file, tide=gs.Tide(tide_file))
# this is the value in the file (default)
c_mover.scale_refpoint = (-70.8875, 42.321333)
c_mover.scale = True
c_mover.scale_value = -1
model.movers += c_mover
# TODO: cannot add this till environment base class is created
# model.environment += c_mover.tide
print 'adding a cats ossm mover:'
# ossm_file = get_datafile(os.path.join(base_dir,
# r"./MerrimackMassCoastOSSM.txt"))
curr_file = gs.get_datafile(os.path.join(base_dir,
"MerrimackMassCoast.cur"))
tide_file = gs.get_datafile(os.path.join(base_dir,
"MerrimackMassCoastOSSM.txt"))
c_mover = gs.CatsMover(curr_file, tide=gs.Tide(tide_file))
# but do need to scale (based on river stage)
c_mover.scale = True
c_mover.scale_refpoint = (-70.65, 42.58333)
c_mover.scale_value = 1.
model.movers += c_mover
model.environment += c_mover.tide
print 'adding a cats mover:'
curr_file = gs.get_datafile(os.path.join(base_dir, "MassBaySewage.cur"))
c_mover = gs.CatsMover(curr_file)
# but do need to scale (based on river stage)
c_mover.scale = True
c_mover.scale_refpoint = (-70.78333, 42.39333)
# the scale factor is 0 if user inputs no sewage outfall effects
c_mover.scale_value = .04
model.movers += c_mover
# pat1Angle 315;
# pat1Speed 19.44; pat1SpeedUnits knots;
# pat1ScaleToValue 0.138855
#
# pat2Angle 225;
# pat2Speed 19.44; pat2SpeedUnits knots;
# pat2ScaleToValue 0.05121
#
# scaleBy WindStress
print "adding a component mover:"
component_file1 = gs.get_datafile(os.path.join(base_dir, "WAC10msNW.cur"))
component_file2 = gs.get_datafile(os.path.join(base_dir, "WAC10msSW.cur"))
comp_mover = gs.ComponentMover(component_file1, component_file2, w_mover.wind)
# todo: callback did not work correctly below - fix!
# comp_mover = ComponentMover(component_file1,
# component_file2,
# Wind(timeseries=series, units='m/s'))
comp_mover.scale_refpoint = (-70.855, 42.275)
comp_mover.pat1_angle = 315
comp_mover.pat1_speed = 19.44
comp_mover.pat1_speed_units = 1
comp_mover.pat1ScaleToValue = .138855
comp_mover.pat2_angle = 225
comp_mover.pat2_speed = 19.44
comp_mover.pat2_speed_units = 1
comp_mover.pat2ScaleToValue = .05121
model.movers += comp_mover
print 'adding a spill'
end_time = gs.asdatetime(start_time) + hours(12)
spill = point_line_release_spill(num_elements=100,
start_position=(-70.911432,
42.369142, 0.0),
release_time=start_time,
end_release_time=end_time)
model.spills += spill
return model
def make_model(images_dir=os.path.join(base_dir, 'images')):
print 'initializing the model'
start_time = datetime(2012, 10, 25, 0, 1)
# start_time = datetime(2015, 12, 18, 06, 01)
# 1 day of data in file
# 1/2 hr in seconds
model = Model(start_time=start_time,
duration=timedelta(hours=2),
time_step=900)
mapfile = get_datafile(os.path.join(base_dir, 'nyharbor.bna'))
print 'adding the map'
'''TODO: sort out MapFromBna's map_bounds parameter...
it does nothing right now, and the spill is out of bounds'''
model.map = MapFromBNA(mapfile, refloat_halflife=0.0) # seconds
# draw_ontop can be 'uncertain' or 'forecast'
# 'forecast' LEs are in black, and 'uncertain' are in red
# default is 'forecast' LEs draw on top
renderer = Renderer(mapfile, images_dir, image_size=(1024, 768))
# renderer.viewport = ((-73.5, 40.5), (-73.1, 40.75))
# renderer.viewport = ((-122.9, 45.6), (-122.6, 46.0))
print 'adding outputters'
model.outputters += renderer
netcdf_file = os.path.join(base_dir, 'script_ny_plume.nc')
scripting.remove_netcdf(netcdf_file)
model.outputters += NetCDFOutput(netcdf_file, which_data='all')
print 'adding two spills'
# Break the spill into two spills, first with the larger droplets
# and second with the smaller droplets.
# Split the total spill volume (100 m^3) to have most
# in the larger droplet spill.
# Smaller droplets start at a lower depth than larger
end_time = start_time + model.duration
# wd = WeibullDistribution(alpha=1.8,
# lambda_=.00456,
# min_=.0002) # 200 micron min
#
# spill = subsurface_plume_spill(num_elements=10,
# start_position=(-74.15,
# 40.5,
# 7.2),
# release_time=start_time,
# distribution=wd,
# amount=90, # default volume_units=m^3
# units='m^3',
# end_release_time=end_time,
# density=600)
#
# model.spills += spill
# wd = WeibullDistribution(alpha=1.8,
# lambda_=.00456,
# max_=.0002) # 200 micron max
oil_name = 'ALASKA NORTH SLOPE (MIDDLE PIPELINE, 1997)'
wd = UniformDistribution(low=.0002,
high=.0002)
spill = point_line_release_spill(num_elements=10, amount=90,
units='m^3',
start_position=(-74.15,
40.5,
7.2),
release_time=start_time,
substance = GnomeOil(oil_name,initializers=plume_initializers(distribution=wd))
#element_type=plume(distribution=wd,
#substance_name='ALASKA NORTH SLOPE (MIDDLE PIPELINE, 1997)')
)
model.spills += spill
print 'adding a RandomMover:'
model.movers += RandomMover(diffusion_coef=50000)
print 'adding a RiseVelocityMover:'
model.movers += RiseVelocityMover()
print 'adding a RandomMover3D:'
# model.movers += RandomMover3D(vertical_diffusion_coef_above_ml=5,
# vertical_diffusion_coef_below_ml=.11,
# mixed_layer_depth=10)
# the url is broken, update and include the following four lines
# url = ('http://geoport.whoi.edu/thredds/dodsC/clay/usgs/users/jcwarner/Projects/Sandy/triple_nest/00_dir_NYB05.ncml')
# gc = GridCurrent.from_netCDF(url)
# u_mover = PyCurrentMover(gc, default_num_method='RK2')
# model.movers += u_mover
# print 'adding a wind mover:'
# series = np.zeros((2, ), dtype=gnome.basic_types.datetime_value_2d)
# series[0] = (start_time, (30, 90))
# series[1] = (start_time + timedelta(hours=23), (30, 90))
# wind = Wind(timeseries=series, units='knot')
#
# default is .4 radians
# w_mover = gnome.movers.WindMover(wind, uncertain_angle_scale=0)
#
# model.movers += w_mover
print 'adding a simple mover:'
# s_mover = SimpleMover(velocity=(0.0, -.3, 0.0))
# model.movers += s_mover
return model
def make_model(images_dir=os.path.join(base_dir, 'images')):
print 'initializing the model'
# data starts at 1:00 instead of 0:00
start_time = datetime(2013, 1, 1, 1)
model = Model(start_time=start_time,
duration=timedelta(days=1),
time_step=900,
uncertain=False)
try:
mapfile = get_datafile(os.path.join(base_dir, 'pearl_harbor.bna'))
except HTTPError:
print(
'Could not download Pearl Harbor data from server - '
'returning empty model')
return model
print 'adding the map'
model.map = MapFromBNA(mapfile, refloat_halflife=1) # hours
#
# Add the outputters -- render to images, and save out as netCDF
#
print 'adding renderer and netcdf output'
model.outputters += Renderer(mapfile, images_dir, size=(800, 600))
netcdf_output_file = os.path.join(base_dir, 'pearl_harbor_output.nc')
scripting.remove_netcdf(netcdf_output_file)
model.outputters += NetCDFOutput(netcdf_output_file, which_data='all')
# #
# # Set up the movers:
# #
print 'adding a random mover:'
model.movers += RandomMover(diffusion_coef=10000)
print 'adding a wind mover:'
series = np.zeros((3, ), dtype=datetime_value_2d)
series[0] = (start_time, (4, 180))
series[1] = (start_time + timedelta(hours=12), (2, 270))
series[2] = (start_time + timedelta(hours=24), (4, 180))
w_mover = WindMover(Wind(timeseries=series, units='knots'))
model.movers += w_mover
model.environment += w_mover.wind
print 'adding a current mover:'
# this is CH3D currents
curr_file = os.path.join(base_dir, 'ch3d2013.nc')
topology_file = os.path.join(base_dir, 'PearlHarborTop.dat')
model.movers += GridCurrentMover(curr_file, topology_file)
# #
# # Add a spill (sources of elements)
# #
print 'adding spill'
model.spills += point_line_release_spill(num_elements=1000,
start_position=(-157.97064,
21.331524, 0.0),
release_time=start_time)
return model
def make_model(images_dir=os.path.join(base_dir, 'images')):
# create the maps:
print 'creating the maps'
mapfile = get_datafile(os.path.join(base_dir, 'SanJuanMap.bna'))
gnome_map = MapFromBNA(mapfile, refloat_halflife=1,
raster_size=1024 * 1024)
renderer = Renderer(mapfile,
images_dir,
size=(800, 800),
projection_class=GeoProjection)
renderer.viewport = ((-66.24, 18.39), (-66.1, 18.55))
print 'initializing the model'
start_time = datetime(2014, 9, 3, 13, 0)
# 15 minutes in seconds
# Default to now, rounded to the nearest hour
model = Model(time_step=900, start_time=start_time,
duration=timedelta(days=1),
map=gnome_map, uncertain=False)
print 'adding outputters'
model.outputters += renderer
netcdf_file = os.path.join(base_dir, 'script_san_juan.nc')
scripting.remove_netcdf(netcdf_file)
model.outputters += NetCDFOutput(netcdf_file, which_data='all')
print 'adding a RandomMover:'
model.movers += RandomMover(diffusion_coef=100000)
print 'adding a wind mover:'
series = np.zeros((2, ), dtype=datetime_value_2d)
series[0] = (start_time, (0, 270))
series[1] = (start_time + timedelta(hours=18), (0, 270))
wind = Wind(timeseries=series, units='m/s')
w_mover = WindMover(wind)
model.movers += w_mover
print 'adding a cats shio mover:'
# need to add the scale_factor for the tide heights file
curr_file = get_datafile(os.path.join(base_dir, 'EbbTides.cur'))
tide_file = get_datafile(os.path.join(base_dir, 'EbbTidesShioHt.txt'))
c_mover = CatsMover(curr_file, tide=Tide(tide_file, scale_factor=.15))
# this is the value in the file (default)
c_mover.scale_refpoint = (-66.116667, 18.458333)
c_mover.scale = True
c_mover.scale_value = 1.0
# c_mover.tide.scale_factor = 0.15
model.movers += c_mover
print 'adding a cats mover:'
curr_file = get_datafile(os.path.join(base_dir, 'Offshore.cur'))
c_mover = CatsMover(curr_file)
# this is the value in the file (default)
# c_mover.scale_refpoint = (-66.082836, 18.469334)
c_mover.scale_refpoint = (-66.084333333, 18.46966667)
c_mover.scale = True
c_mover.scale_value = 0.1
model.movers += c_mover
print 'adding a spill'
end_time = start_time + timedelta(hours=12)
spill = point_line_release_spill(num_elements=1000,
release_time=start_time,
start_position=(-66.16374,
18.468054, 0.0),
# start_position=(-66.129099,
# 18.465332, 0.0),
# end_release_time=end_time,
)
model.spills += spill
return model
def make_model(images_dir=os.path.join(base_dir, 'images2')):
print('initializing the model')
start_time = datetime(int(sys.argv[1]), int(sys.argv[2]), int(sys.argv[3]),
int(sys.argv[4]), int(sys.argv[5]))
mapfile = get_datafile(os.path.join(base_dir, './brazil-coast.bna'))
gnome_map = MapFromBNA(mapfile, refloat_halflife=6) # hours
# # the image output renderer
# global renderer
#duration = timedelta(minutes=5)
#timestep = timedelta(minutes=5)
duration = timedelta(minutes=5)
timestep = timedelta(minutes=5)
endtime = start_time + duration
steps = duration.total_seconds() / timestep.total_seconds()
print("Total step: %.4i " % (steps))
model = Model(start_time=start_time,
duration=duration,
time_step=timestep,
map=gnome_map,
uncertain=False,
cache_enabled=False)
oil_name = 'GENERIC MEDIUM CRUDE'
wd = UniformDistribution(low=.0002, high=.0002)
subs = GnomeOil(oil_name, initializers=plume_initializers(distribution=wd))
#print 'adding a spill'
#spill = point_line_release_spill(num_elements=122,
# start_position=(-35.14,
# -9.40, 0.0),
# release_time=start_time)
#model.spills += spill
#spill2 = spatial_release_spill(-35.14,-9.40, 0.0, start_time)
#model.spills += spill2
#print 'load nc'
#netcdf_file = os.path.join(base_dir, 'maceio.nc')
#relnc = InitElemsFromFile(netcdf_file,release_time=start_time)
#relnc = InitElemsFromFile(netcdf_file,index=5)
#spillnc = Spill(release=relnc)
#print spillnc.release.num_elements
#print spillnc.release.name
#print spillnc.substance
#print relnc._init_data['age']
#print relnc.release_time
#model.spills += spillnc
#model._load_spill_data()
#for sc in model.spills.items():
# sc.prepare_for_model_run()
#print(relnc.num_elements)
#print(relnc.num_released)
# add particles - it works
print('adding particles')
# Persistent oil spill in contiguous zone border
if int(sys.argv[6]) == 1:
release = release_from_splot_data(start_time, 'contiguous.txt')
print("Adding new particles")
model.spills += Spill(release=release, substance=subs)
# Particles from previows simulation step
try:
f = open('step.txt')
f.close()
release2 = release_from_splot_data(start_time, 'step.txt')
model.spills += Spill(release=release2, substance=subs)
except IOError:
print('No previous step, using only contiguous.txt')
#assert rel.num_elements == exp_num_elems
#assert len(rel.start_position) == exp_num_elems
#cumsum = np.cumsum(exp)
#for ix in xrange(len(cumsum) - 1):
# assert np.all(rel.start_position[cumsum[ix]] ==
# rel.start_position[cumsum[ix]:cumsum[ix + 1]])
#assert np.all(rel.start_position[0] == rel.start_position[:cumsum[0]])
#spnc = Spill(release=None)
#spnc.release = relnc
print('adding a RandomMover:')
#model.movers += RandomMover(diffusion_coef=10000, uncertain_factor=2)
model.movers += RandomMover(diffusion_coef=10000)
print('adding a current mover:')
# # this is HYCOM currents
curr_file = get_datafile(os.path.join(base_dir, 'corrente15a28de09.nc'))
model.movers += GridCurrentMover(curr_file, num_method='Euler')
print('adding a grid wind mover:')
wind_file = get_datafile(os.path.join(base_dir, 'vento15a28de09.nc'))
#topology_file = get_datafile(os.path.join(base_dir, 'WindSpeedDirSubsetTop.dat'))
#w_mover = GridWindMover(wind_file, topology_file)
w_mover = GridWindMover(wind_file)
w_mover.uncertain_speed_scale = 1
w_mover.uncertain_angle_scale = 0.2 # default is .4
w_mover.wind_scale = 2
model.movers += w_mover
print('adding outputters')
renderer = Renderer(mapfile,
images_dir,
image_size=(900, 600),
output_timestep=timestep,
draw_ontop='forecast')
#set the viewport to zoom in on the map:
#renderer.viewport = ((-37, -11), (-34, -8)) #alagoas
renderer.viewport = ((-55, -34), (-30, 5)) #1/4 N alagoas
model.outputters += renderer
netcdf_file = os.path.join(base_dir, 'step.nc')
scripting.remove_netcdf(netcdf_file)
model.outputters += NetCDFOutput(netcdf_file,
which_data='standard',
surface_conc='kde')
return model
