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=6), 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 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=1000, start_position=(-74.15, 40.5, 0.0), release_time=start_time) model.spills += spill1 print 'adding a RandomMover:' model.movers += RandomMover(diffusion_coef=50000) print 'adding a wind mover:' model.movers += constant_wind_mover(4, 270, units='m/s') print 'adding a current mover:' # url is broken, fix and include the following section # url = ('http://geoport.whoi.edu/thredds/dodsC/clay/usgs/users/jcwarner/Projects/Sandy/triple_nest/00_dir_NYB05.ncml') # # cf = roms_field('nos.tbofs.fields.n000.20160406.t00z_sgrid.nc') # cf = GridCurrent.from_netCDF(url) # renderer.add_grid(cf.grid) # renderer.delay = 25 # u_mover = PyCurrentMover(cf, default_num_method='Euler') # model.movers += u_mover # return model
def allWeatherers(timeStep, start_time, duration, weatheringSteps, map, uncertain, data_path, curr_path, wind_path, map_path, reFloatHalfLife, windFile, currFile, tidalFile, num_elements, depths, lat, lon, output_path, wind_scale, save_nc, timestep_outputs, weatherers, td): print 'initializing the model:' model = Model(time_step=timeStep, start_time=start_time, duration=duration) print 'adding the map:' map_folder = os.path.join(data_path, map_path) if not(os.path.exists(map_folder)): print('The map folder is incorrectly set:', map_folder) mapfile = get_datafile( os.path.join(map_folder,map) ) model.map = MapFromBNA(mapfile, refloat_halflife=reFloatHalfLife) print 'adding a renderer' model.outputters += Renderer(mapfile, output_path, size=(800, 600), output_timestep=timedelta(hours=1)) if save_nc: nc_outputter = NetCDFOutput(netcdf_file, which_data='most', output_timestep=timedelta(hours=1)) 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=10000) 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) print 'adding weatherers' water = Water(280.92) wind = constant_wind(20.0, 117, '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(2015, 9, 24, 3, 0) # 1 day of data in file # 1/2 hr in seconds model = Model(start_time=start_time, duration=timedelta(hours = 48), time_step=3600) mapfile = get_datafile(os.path.join(base_dir, 'Perfland.bna')) print 'adding the map' model.map = MapFromBNA(mapfile, refloat_halflife=1, raster_size=1024*1024) # 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=1), timestamp_attrib={'size': 'medium', 'color':'uncert_LE'}) renderer.set_timestamp_attrib(format='%a %c') renderer.graticule.set_DMS(True) # renderer.viewport = ((-124.25, 47.5), (-122.0, 48.70)) print 'adding outputters' model.outputters += renderer 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=5000, start_position=(0.0, 0.0, 0.0), release_time=start_time) model.spills += spill1 print 'adding a RandomMover:' model.movers += RandomMover(diffusion_coef=50000) print 'adding a wind mover:' model.movers += constant_wind_mover(13, 270, units='m/s') print 'adding a current mover:' # curr_file = get_datafile(os.path.join(base_dir, 'COOPSu_CREOFS24.nc')) # # # uncertain_time_delay in hours # c_mover = GridCurrentMover(curr_file) # c_mover.uncertain_cross = 0 # default is .25 # # model.movers += c_mover return model
def setup_model(): print 'initializing the model' # start with default time,duration...this will be changed when model is run model = Model( ) #change to use all defaults and set time_step also in Setup_TAP!! mapfile = os.path.join(setup.MapFileDir, setup.MapFileName) print 'adding the map: ', mapfile model.map = MapFromBNA(mapfile, refloat_halflife=0.0) # seconds print 'adding a GridCurrentMover:' c_mover = GridCurrentMover(filename=setup.curr_fn, extrapolate=True) model.movers += c_mover print 'adding a WindMover:' w = Wind(filename=setup.wind_fn) w_mover = WindMover(w) # w_mover = GridWindMover(wind_file=setup.w_filelist) model.movers += w_mover if setup.diff_coef is not None: print 'adding a RandomMover:' random_mover = RandomMover(diffusion_coef=setup.diff_coef) #in cm/s model.movers += random_mover return model
def simple_model(output_dir): start_time = "2018-09-20T12:00" model = gs.Model( start_time=start_time, duration=gs.days(1), time_step=gs.minutes(30), name="test model for tideflats", ) model.map = MapFromBNA(bna_file) model.movers += gs.constant_wind_mover(10, 300, "m/s") model.spills += gs.surface_point_line_spill( num_elements=100, start_position=(5.4, 53.38, 0), end_position=(5.8, 53.4, 0), release_time=start_time, ) model.outputters += gs.Renderer( output_timestep=gs.hours(1), map_filename=bna_file, output_dir=output_dir, formats=['gif'], # ['gif', 'png'] image_size=(800, 400), # viewport=((4.5, 53.0), # (5.5, 53.5)), ) return model
def CurrentsAndWinds(timeStep, start_time, duration, weatheringSteps, mapfile, uncertain, data_path, curr_path, wind_path, map_path, reFloatHalfLife, windFile, currFile, tidalFile, num_elements, depths, lat, lon, output_path, wind_scale, save_nc, timestep_outputs, weatherers, td): print 'initializing the model:' model = Model(time_step=timeStep, start_time=start_time, duration=duration) print 'adding the map:' print (data_path, map_path, mapfile) mapfile = get_datafile(os.path.join(data_path, map_path, mapfile)) model.map = MapFromBNA(mapfile, refloat_halflife=reFloatHalfLife) print 'adding a renderer' model.outputters += Renderer(mapfile, output_path, size=(800, 600), output_timestep=timedelta(hours=timestep_outputs)) if save_nc: nc_outputter = NetCDFOutput('currentsAndWinds_example.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=10000) 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) 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) 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 sample_model2(): """ sample model with no outputter and no spills. Use this as a template for fixtures to add spills Uses: sample_data/MapBounds_Island.bna Contains: gnome.movers.SimpleMover(velocity=(1.0, -1.0, 0.0)) duration is 1 hour with 15min intervals so 5 timesteps total, including initial condition, model is uncertain and cache is not enabled No spills or outputters defined To use: add a spill and run :returns: It returns a dict - {'model':model, 'release_start_pos':start_points, 'release_end_pos':end_points} The release_start_pos and release_end_pos can be used by test to define the spill's 'start_position' and 'end_position' """ release_time = datetime(2012, 9, 15, 12, 0) # the image output map mapfile = os.path.join(os.path.dirname(__file__), './sample_data/long_island_sound', 'LongIslandSoundMap.BNA') # the land-water map map_ = MapFromBNA(mapfile, refloat_halflife=06) # seconds model = Model( time_step=timedelta(minutes=10), start_time=release_time, duration=timedelta(hours=1), map=map_, uncertain=True, cache_enabled=False, ) # model.movers += SimpleMover(velocity=(1., -1., 0.0)) # model.uncertain = True start_points = np.zeros((3, ), dtype=np.float64) end_points = np.zeros((3, ), dtype=np.float64) start_points[:] = (-72.83, 41.13, 0) end_points[:] = (-72.83, 41.13, 0) return { 'model': model, 'release_start_pos': start_points, 'release_end_pos': end_points }
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 'initializing the model' start_time = datetime(2015, 9, 24, 1, 1) # 1 day of data in file # 1/2 hr in seconds model = Model(start_time=start_time, duration=timedelta(hours=48), time_step=900) mapfile = get_datafile(os.path.join(base_dir, 'columbia_river.bna')) print 'adding the map' 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=(600, 1200)) renderer.graticule.set_DMS(True) # renderer.viewport = ((-123.35, 45.6), (-122.68, 46.13)) # renderer.viewport = ((-122.9, 45.6), (-122.6, 46.0)) print 'adding outputters' model.outputters += renderer 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=1000, start_position=(-122.625, 45.609, 0.0), release_time=start_time) model.spills += spill1 print 'adding a RandomMover:' # model.movers += RandomMover(diffusion_coef=50000) print 'adding a wind mover:' model.movers += constant_wind_mover(0.5, 0, units='m/s') print 'adding a current mover:' curr_file = get_datafile(os.path.join(base_dir, 'COOPSu_CREOFS24.nc')) # uncertain_time_delay in hours # vec_field = TriVectorField('COOPSu_CREOFS24.nc') # u_mover = UGridCurrentMover(vec_field) c_mover = GridCurrentMover(curr_file) # c_mover.uncertain_cross = 0 # default is .25 # model.movers += u_mover model.movers += c_mover model.save 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_models(): print 'initializing the model' # start_time = datetime(2015, 12, 18, 06, 01) # 1 day of data in file # 1/2 hr in seconds models = [] start_time = datetime(2012, 10, 27, 0, 30) duration_hrs=23 time_step=450 num_steps = duration_hrs * 3600 / time_step names = [ 'Euler', 'Trapezoid', 'RK4', ] mapfile = get_datafile(os.path.join(base_dir, 'long_beach.bna')) print 'gen map' map = MapFromBNA(mapfile, refloat_halflife=0.0) # seconds fn = ('00_dir_roms_display.ncml.nc4') curr = GridCurrent.from_netCDF(filename=fn) models = [] for method in names: mod = Model(start_time=start_time, duration=timedelta(hours=duration_hrs), time_step=time_step) mod.map = map spill = point_line_release_spill(num_elements=1000, start_position=(-74.1, 39.7525, 0.0), release_time=start_time) mod.spills += spill mod.movers += RandomMover(diffusion_coef=100) mod.movers += PyGridCurrentMover(current=curr, default_num_method=method) images_dir = method + '-' + str(time_step / 60) + 'min-' + str(num_steps) + 'steps' renderer = Renderer(mapfile, images_dir, image_size=(1024, 768)) renderer.delay = 25 # renderer.add_grid(curr.grid) mod.outputters += renderer netCDF_fn = os.path.join(base_dir, images_dir + '.nc') mod.outputters += NetCDFOutput(netCDF_fn, which_data='all') models.append(mod) print 'returning models' return models
def test_bna_no_map_bounds(): """ tests that the map bounds will get expanded to include the bounding box of the land and spillable area. """ test_no_bounds_bna = os.path.join(datadir, 'no_map_bounds.bna') m = MapFromBNA(test_no_bounds_bna) assert np.array_equal(m.map_bounds, [(3., 10.), (3., 11.), (6., 11.), (6., 10.), ])
def make_model(timeStep,start_time, duration, weatheringSteps, map, uncertain, data_path, reFloatHalfLife, windFile, currFile, tidalFile, num_elements, depths, lat, lon, output_path, evaporation): #initalizing the model print 'initializing the model:' # model = Model(time_step = timeStep, start_time= start_time, duration=duration, uncertain = uncertain) model = Model(time_step = timeStep, start_time= start_time, duration=duration) #adding the map print 'adding the map:' print 'pinche path', data_path mapfile = get_datafile(os.path.join(data_path, map)) model.map = MapFromBNA(mapfile, refloat_halflife = reFloatHalfLife) #model.map = GnomeMap() print 'adding a renderer' # renderer is a class that writes map images for GNOME results model.outputters += Renderer(mapfile, output_path, size=(800, 600), output_timestep=timedelta(hours=1)) ##scripting.remove_netcdf(netcdf_file) #nc_outputter = NetCDFOutput(netcdf_file, which_data='most', output_timestep=timedelta(hours=1)) #model.outputters += nc_outputter #adding the movers print 'adding a wind mover:' wind_file = get_datafile(os.path.join(data_path, windFile)) wind = GridWindMover(wind_file) wind.wind_scale = 2 model.movers += wind print 'adding a current mover: ' curr_file = get_datafile(os.path.join(data_path,currFile)) model.movers+= GridCurrentMover(curr_file, num_method='RK4') #random_mover = RandomMover(diffusion_coef=10000) #in cm/sdfd #model.movers += random_mover if evaporation: #wind for evaporation print'adding evaporation' wind = constant_wind(1, 0, 'knots') water = Water(temperature=300.0, salinity=35.0) model.weatherers += Evaporation(wind=wind, water=water) # print 'adding a spill' # for i in depths: # model.spills+= point_line_release_spill(num_elements=num_elements, start_position=(lon,lat,i), release_time=start_time) model.spills+= point_line_release_spill(num_elements=num_elements, start_position=(lon,lat,0), release_time=start_time, end_release_time=start_time+timedelta(days=93)) return model
def make_model(base_dir='.'): #,images_dir=os.path.join(base_dir, 'images',gdat_dir='/data/dylan/ArcticTAP/data_gnome/ROMS_h2ouv/')): print 'initializing the model' print base_dir start_time = datetime(1985, 1, 1, 13, 31) # start with generic times...this will be changed when model is run model = Model(start_time=start_time, time_step=setup.time_step) mapfile = get_datafile(os.path.join(base_dir, setup.MapFileName)) print mapfile print 'adding the map' model.map = MapFromBNA(mapfile, refloat_halflife=0.0) # seconds 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
class Test_lake(): """ tests for handling a BNA with a lake The code should now return a polygon with a hole for lakes. And render properly both with the py_gnome renderer and the json output. """ map = MapFromBNA(bna_with_lake) def test_polys(self): """ Once loaded, polygons should be there """ assert self.map.map_bounds is not None assert self.map.spillable_area is not None # NOTE: current version puts land and lakes in the land_polys set assert len(self.map.land_polys) == 2 def test_to_geojson(self): """ make sure geojson is right """ gj = self.map.to_geojson() # print gj.keys() # print gj['features'][0].keys() # print len(gj.features) # has only the land polys in there. assert len(gj['features']) == 2 land_polys = gj['features'][0] assert land_polys['geometry']['type'] == "MultiPolygon" assert land_polys["properties"]["name"] == "Shoreline Polys" import json outfilename = os.path.join(output_dir, "florida_geojson.json") with open(outfilename, 'w') as outfile: json.dump(gj, outfile, indent=2)
def only_Winds(timeStep, start_time, duration, weatheringSteps, map, uncertain, data_path, curr_path, wind_path, map_path, reFloatHalfLife, windFile, currFile, tidalFile, num_elements, depths, lat, lon, output_path, wind_scale, save_nc, timestep_outputs, weatherers, td): print 'initializing the model:' model = Model(time_step=timeStep, start_time=start_time, duration=duration) 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' model.outputters += Renderer(mapfile, output_path, size=(800, 600), output_timestep=timedelta(hours=timestep_outputs)) if save_nc: nc_outputter = NetCDFOutput(netcdf_file, which_data='most', 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 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) 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(2013, 5, 18, 0) model = Model(start_time=start_time, duration=timedelta(days=8), time_step=4 * 3600, uncertain=False) mapfile = get_datafile(os.path.join(base_dir, 'mariana_island.bna')) print 'adding the map' model.map = MapFromBNA(mapfile, refloat_halflife=6) # hours # # Add the outputters -- render to images, and save out as netCDF # print 'adding renderer' model.outputters += Renderer( mapfile, images_dir, size=(800, 600), ) # draw_back_to_fore=True) # print "adding netcdf output" # netcdf_output_file = os.path.join(base_dir,'mariana_output.nc') # scripting.remove_netcdf(netcdf_output_file) # model.outputters += NetCDFOutput(netcdf_output_file, which_data='all') # # Set up the movers: # print 'adding a RandomMover:' model.movers += RandomMover(diffusion_coef=10000) print 'adding a simple wind mover:' model.movers += constant_wind_mover(5, 315, units='m/s') print 'adding a current mover:' # # this is HYCOM currents curr_file = get_datafile(os.path.join(base_dir, 'HYCOM.nc')) model.movers += GridCurrentMover(curr_file, num_method=numerical_methods.euler) # # # # Add some spills (sources of elements) # # print 'adding four spill' model.spills += point_line_release_spill(num_elements=NUM_ELEMENTS // 4, start_position=(145.25, 15.0, 0.0), release_time=start_time) model.spills += point_line_release_spill(num_elements=NUM_ELEMENTS // 4, start_position=(146.25, 15.0, 0.0), release_time=start_time) model.spills += point_line_release_spill(num_elements=NUM_ELEMENTS // 4, start_position=(145.75, 15.25, 0.0), release_time=start_time) model.spills += point_line_release_spill(num_elements=NUM_ELEMENTS // 4, start_position=(145.75, 14.75, 0.0), release_time=start_time) return model
class Test_MapfromBNA: print "instaniating map:", testbnamap # NOTE: this is a pretty course map -- for testing bna_map = MapFromBNA(testbnamap, refloat_halflife=6, raster_size=1000) def test_map_in_water(self): ''' Test whether the location of a particle is: - in water - is determined correctly. ''' InWater = (-126.78709, 48.1647, 0.) # Throw an error if the known in-water location returns false. assert self.bna_map.in_water(InWater) assert not self.bna_map.on_land(InWater) # def test_map_in_water2(self): # # in water, but inside land Bounding box # InWater = (-126.971456, 47.935608, 0.) # # # Throw an error if the know in-water location returns false. # assert self.bna_map.in_water(InWater) def test_map_on_land(self): ''' Test whether the location of a particle on land is determined correctly. ''' OnLand = (-127, 47.8, 0.) print "on land:", self.bna_map.on_land(OnLand) print self.bna_map.raster assert self.bna_map.on_land(OnLand) assert not self.bna_map.in_water(OnLand) def test_map_in_lake(self): ''' Test whether the location of a particle in a lake is determined correctly. ''' InLake = (-126.8, 47.84, 0.) assert self.bna_map.in_water(InLake) assert not self.bna_map.on_land(InLake) def test_map_spillable(self): in_water = (-126.984472, 48.08106, 0.) # in water, in spillable assert self.bna_map.allowable_spill_position(in_water) def test_map_spillable_lake(self): in_lake = (-126.793592, 47.841064, 0.) # in lake, should be spillable assert self.bna_map.allowable_spill_position(in_lake) def test_map_not_spillable(self): on_land = (-127, 47.8, 0.) # on land should not be spillable # Throw an error if the know on-land location returns false. assert not self.bna_map.allowable_spill_position(on_land) def test_map_not_spillable2(self): # in water, but outside spillable area in_water_but_outside = (127.244752, 47.585072, 0.) assert not self.bna_map.allowable_spill_position(in_water_but_outside) def test_map_not_spillable3(self): # off the map -- should not be spillable off_map = (127.643856, 47.999608, 0.) assert not self.bna_map.allowable_spill_position(off_map) def test_map_on_map(self): point_on_map = (-126.12336, 47.454164, 0.) assert self.bna_map.on_map(point_on_map) def test_map_off_map(self): point_off_map = (-126.097336, 47.43962, 0.) assert not self.bna_map.on_map(point_off_map) def test_map_bounds(self): map_bounds = self.bna_map.map_bounds # these are the map_bounds in the BNA expected_bounds = np.array([ [-127.465333, 48.3294], [-126.108847, 48.3294], [-126.108847, 47.44727], [-127.465333, 47.44727], ]) assert np.allclose(map_bounds, expected_bounds) def test_to_geojson(self): geo_json = self.bna_map.to_geojson() assert geo_json['type'] == 'FeatureCollection' assert 'features' in geo_json for f in geo_json['features']: assert 'type' in f assert 'geometry' in f assert 'coordinates' in f['geometry'] for coord_coll in f['geometry']['coordinates']: assert len(coord_coll) == 1 # This is the level where the individual coordinates are assert len(coord_coll[0]) > 1 for c in coord_coll[0]: assert len(c) == 2 def test_serialize_deserialize(self): """ test create new object from to_dict """ gmap = gnome.map.MapFromBNA(testbnamap, 6) serial = gmap.serialize() map2 = gnome.map.MapFromBNA.deserialize(serial) assert gmap == map2 def test_update_from_dict_MapFromBNA(self): 'test update_from_dict for MapFromBNA' gmap = gnome.map.MapFromBNA(testbnamap, 6) dict_ = {} dict_['map_bounds'] = [(-10, 10), (10, 10), (10, -10), (-10, -10)] dict_['spillable_area'] = [[(-5, 5), (5, 5), (5, -5), (-5, -5)]] dict_['refloat_halflife'] = 2 assert np.all(gmap.map_bounds != dict_['map_bounds']) gmap.update_from_dict(dict_) assert gmap.map_bounds is not dict_['map_bounds'] assert np.all(gmap.map_bounds == dict_['map_bounds'])
def make_model(images_dir=os.path.join(base_dir, 'images')): print 'initializing the model' start_time = datetime(2015, 9, 24, 1, 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=47), time_step=300) mapfile = get_datafile(os.path.join(base_dir, 'columbia_river.bna')) print 'adding the map' 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=(600, 1200)) renderer.delay = 15 # renderer.viewport = ((-123.35, 45.6), (-122.68, 46.13)) # renderer.viewport = ((-122.9, 45.6), (-122.6, 46.0)) print 'adding outputters' model.outputters += renderer 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 = continuous_release_spill(initial_elements=10000, num_elements=400, start_position=(-122.625, 45.609, 0.0), release_time=start_time, end_position=(-122.6, 45.605, 0.0), end_release_time=start_time + timedelta(seconds=36000)) model.spills += spill1 print 'adding a RandomMover:' # model.movers += RandomMover(diffusion_coef=10000) print 'adding a wind mover:' series = [] for i in [(1, (5, 90)), (7, (5, 180)), (13, (5, 270)), (19, (5, 0)), (25, (5, 90))]: series.append((start_time + timedelta(hours=i[0]), i[1])) wind1 = WindTS.constant_wind('wind1', 0.5, 0, 'm/s') wind2 = WindTS(timeseries=series, units='knots', extrapolate=True) # wind = Wind(timeseries=series, units='knots') model.movers += PyWindMover(wind=wind1) print 'adding a current mover:' # url = ('http://geoport.whoi.edu/thredds/dodsC/clay/usgs/users/jcwarner/Projects/Sandy/triple_nest/00_dir_NYB05.ncml') # test = GridCurrent.from_netCDF(name='gc1', filename=url) curr_file = get_datafile('COOPSu_CREOFS24.nc') curr = GridCurrent.from_netCDF( name='gc2', filename=curr_file, ) c_mover = PyGridCurrentMover(curr, extrapolate=True, default_num_method='Trapezoid') # renderer.add_grid(curr.grid) # renderer.add_vec_prop(curr) model.movers += c_mover print 'adding a random mover' model.movers += RandomMover(diffusion_coef=1000) # 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(uncertain=False, mode='gnome'): ''' Create a model from the data in sample_data/boston_data It contains: - the GeoProjection - wind mover - random mover - cats shio mover - cats ossm mover - plain cats mover ''' start_time = datetime(2013, 2, 13, 9, 0) model = Model(start_time=start_time, duration=timedelta(days=2), time_step=timedelta(minutes=30).total_seconds(), uncertain=uncertain, map=MapFromBNA(testdata['boston_data']['map'], refloat_halflife=1), mode=mode) print 'adding a spill' start_position = (144.664166, 13.441944, 0.0) end_release_time = start_time + timedelta(hours=6) spill_amount = 1000.0 spill_units = 'kg' model.spills += point_line_release_spill(num_elements=1000, start_position=start_position, release_time=start_time, end_release_time=end_release_time, amount=spill_amount, units=spill_units, substance=test_oil) spill = model.spills[-1] spill_volume = spill.get_mass() / spill.substance.density_at_temp() # need a scenario for SimpleMover # model.movers += SimpleMover(velocity=(1.0, -1.0, 0.0)) 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:' c_mover = CatsMover(testdata['boston_data']['cats_curr2'], tide=Tide(testdata['boston_data']['cats_shio'])) # c_mover.scale_refpoint should automatically get set from tide object c_mover.scale = True # default value c_mover.scale_value = -1 # tide object automatically gets added by model model.movers += c_mover print 'adding a cats ossm mover:' c_mover = CatsMover(testdata['boston_data']['cats_curr2'], tide=Tide(testdata['boston_data']['cats_ossm'])) c_mover.scale = True # but do need to scale (based on river stage) c_mover.scale_refpoint = (-70.65, 42.58333, 0.0) c_mover.scale_value = 1. print 'adding a cats mover:' c_mover = CatsMover(testdata['boston_data']['cats_curr3']) c_mover.scale = True # but do need to scale (based on river stage) c_mover.scale_refpoint = (-70.78333, 42.39333, 0.0) # the scale factor is 0 if user inputs no sewage outfall effects c_mover.scale_value = .04 model.movers += c_mover # TODO: seg faulting for component mover - comment test for now # print "adding a component mover:" # comp_mover = ComponentMover(testdata['boston_data']['component_curr1'], # testdata['boston_data']['component_curr2'], # 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.ref_point = (-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 Weatherer' model.environment += Water(311.15) skim_start = start_time + timedelta(hours=3) model.weatherers += [ Evaporation(), Skimmer(spill_amount * .5, spill_units, efficiency=.3, active_range=(skim_start, skim_start + timedelta(hours=2))), Burn(0.2 * spill_volume, 1.0, (skim_start, InfDateTime('inf')), efficiency=0.9) ] model.outputters += \ CurrentJsonOutput(model.find_by_attr('_ref_as', 'current_movers', model.movers, allitems=True)) 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(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=False, cache_enabled=False) print 'adding a spill' et = floating_weathering(substance='FUEL OIL NO.6') spill = point_line_release_spill(num_elements=1000, start_position=(-72.419992, 41.202120, 0.0), release_time=start_time, amount=1000, units='kg', element_type=et) spill.amount_uncertainty_scale = 1.0 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', speed_uncertainty_scale=0.5) 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 'adding Weatherers' water_env = Water(311.15) model.environment += water_env model.weatherers += [Evaporation(water_env, wind), Dispersion(), Burn(), Skimmer()] print 'adding outputters' model.outputters += WeatheringOutput() 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 raster_size=2048 * 2048 # about 4 MB ) renderer = Renderer( mapfile, images_dir, size=(800, 800), ) print 'initializing the model' start_time = datetime(2016, 3, 9, 15) # 1 hour in seconds # Default to now, rounded to the nearest hour model = Model(time_step=3600, start_time=start_time, duration=timedelta(days=6), map=gnome_map, uncertain=True) 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') # model.outputters += KMZOutput(os.path.join(base_dir, 'script_boston.kmz')) 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 = Wind(filename=os.path.join(base_dir, '22NM_WNW_PortAngelesWA.nws')) w_mover = WindMover(w) 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 spill' end_time = start_time + timedelta(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(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(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')): # 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 # 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 = get_datafile(os.path.join(base_dir, r"./WAC10msNW.cur")) component_file2 = get_datafile(os.path.join(base_dir, r"./WAC10msSW.cur")) comp_mover = 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 = 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=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