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
Example #2
0
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
Example #3
0
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=24),
                  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:'

    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', 5, 270, 'knots')
    wind2 = WindTS(timeseries=series, units='knots', extrapolate=True)

    wind = Wind(timeseries=series, units='knots')

    model.movers += PyWindMover(wind=wind2)
    #     model.movers += WindMover(wind)

    #     print 'adding a current mover:'
    #
    #     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 = roms_field(url)
    #     cf.set_appearance(on=True)
    #     renderer.grids += [cf]
    #     renderer.delay = 25
    #     u_mover = UGridCurrentMover(cf)
    #     model.movers += u_mover

    # curr_file = get_datafile(os.path.join(base_dir, 'COOPSu_CREOFS24.nc'))
    # c_mover = GridCurrentMover(curr_file)
    # model.movers += c_mover

    return model
Example #4
0
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=24),
                  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:'

    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', 5, 270, 'knots')
    wind2 = WindTS(timeseries = series, units='knots', extrapolate=True)

    wind = Wind(timeseries=series, units='knots')

    model.movers += PyWindMover(wind=wind2)
#     model.movers += WindMover(wind)

#     print 'adding a current mover:'
#
#     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 = roms_field(url)
#     cf.set_appearance(on=True)
#     renderer.grids += [cf]
#     renderer.delay = 25
#     u_mover = UGridCurrentMover(cf)
#     model.movers += u_mover

    # curr_file = get_datafile(os.path.join(base_dir, 'COOPSu_CREOFS24.nc'))
    # c_mover = GridCurrentMover(curr_file)
    # model.movers += c_mover

    return model