Sediment drift from Glomma river outlet

from datetime import timedelta, datetime
from opendrift.models.sedimentdrift import SedimentDrift

o = SedimentDrift(loglevel=20)  # 0 for debug output

if False:  # Using constant south-westwards current and wind
    o.set_config('environment:fallback:x_sea_water_velocity', -.05)
    o.set_config('environment:fallback:y_sea_water_velocity', -.1)
    o.set_config('environment:fallback:y_wind', -6)
    o.set_config('environment:fallback:x_wind', -2)
    o.set_config('environment:fallback:sea_floor_depth_below_sea_level', 100)  # 100m depth
else:  # Using live data from Thredds
    o.add_readers_from_list([
        'https://thredds.met.no/thredds/dodsC/fou-hi/norkystv3_800m_m00_be'])

11:09:13 INFO    opendrift:569: OpenDriftSimulation initialised (version 1.14.4 / v1.14.4-13-g6c46a55)

Adding some diffusion

o.set_config('drift:current_uncertainty', .2)
o.set_config('drift:wind_uncertainty', 2)
o.set_config('vertical_mixing:diffusivitymodel', 'windspeed_Large1994')
#o.set_config('vertical_mixing:diffusivitymodel', 'environment')

Source of sediments at Glomma river outlet

lat=59.169194
lon=10.962920
o.seed_elements(lon=lon, lat=lat, number=10000,
                time=[datetime.now(), datetime.now()+timedelta(hours=48)],
                terminal_velocity=-.001)  # 1 mm/s settling speed

o.run(time_step=600, time_step_output=1800, duration=timedelta(hours=36))

11:09:13 INFO    opendrift.models.basemodel.environment:203: Adding a global landmask from GSHHG
11:09:17 INFO    opendrift.models.basemodel.environment:227: Fallback values will be used for the following variables which have no readers:
11:09:17 INFO    opendrift.models.basemodel.environment:230:    x_sea_water_velocity: 0.000000
11:09:17 INFO    opendrift.models.basemodel.environment:230:    y_sea_water_velocity: 0.000000
11:09:17 INFO    opendrift.models.basemodel.environment:230:    sea_surface_height: 0.000000
11:09:17 INFO    opendrift.models.basemodel.environment:230:    upward_sea_water_velocity: 0.000000
11:09:17 INFO    opendrift.models.basemodel.environment:230:    x_wind: 0.000000
11:09:17 INFO    opendrift.models.basemodel.environment:230:    y_wind: 0.000000
11:09:17 INFO    opendrift.models.basemodel.environment:230:    sea_surface_wave_stokes_drift_x_velocity: 0.000000
11:09:17 INFO    opendrift.models.basemodel.environment:230:    sea_surface_wave_stokes_drift_y_velocity: 0.000000
11:09:17 INFO    opendrift.models.basemodel.environment:230:    sea_surface_wave_period_at_variance_spectral_density_maximum: 0.000000
11:09:17 INFO    opendrift.models.basemodel.environment:230:    sea_surface_wave_mean_period_from_variance_spectral_density_second_frequency_moment: 0.000000
11:09:17 INFO    opendrift.models.basemodel.environment:230:    ocean_vertical_diffusivity: 0.020000
11:09:17 INFO    opendrift.models.basemodel.environment:230:    ocean_mixed_layer_thickness: 50.000000
11:09:17 INFO    opendrift.models.basemodel.environment:230:    sea_floor_depth_below_sea_level: 10000.000000
11:09:17 INFO    opendrift:1798: Storing previous values of element property lon because of condition (('general:coastline_action', 'in', ['stranding', 'previous']), 'or', ('general:seafloor_action', 'in', ['previous']))
11:09:17 INFO    opendrift:1798: Storing previous values of element property lat because of condition (('general:coastline_action', 'in', ['stranding', 'previous']), 'or', ('general:seafloor_action', 'in', ['previous']))
11:09:17 INFO    opendrift:945: Using existing reader for land_binary_mask to move elements to ocean
11:09:17 INFO    opendrift:975: All points are in ocean
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11:09:17 INFO    opendrift.readers:63: Opening file with xr.open_dataset
11:09:18 INFO    opendrift.readers.reader_netCDF_CF_generic:332: Detected dimensions: {'x': 'X', 'y': 'Y', 'z': 'depth', 'time': 'time'}
11:09:18 INFO    opendrift.readers.basereader:176: Variable x_sea_water_velocity will be rotated from eastward_sea_water_velocity
11:09:18 INFO    opendrift.readers.basereader:176: Variable y_sea_water_velocity will be rotated from northward_sea_water_velocity
11:09:18 INFO    opendrift.readers.basereader:176: Variable x_wind will be rotated from eastward_wind
11:09:18 INFO    opendrift.readers.basereader:176: Variable y_wind will be rotated from northward_wind
11:09:21 INFO    opendrift:2094: 2025-10-24 11:19:13.075890 - step 2 of 216 - 70 active elements (0 deactivated)
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11:10:31 INFO    opendrift:2094: 2025-10-25 11:19:13.075890 - step 146 of 216 - 5069 active elements (0 deactivated)
11:10:31 INFO    opendrift:2094: 2025-10-25 11:29:13.075890 - step 147 of 216 - 5104 active elements (0 deactivated)
11:10:32 INFO    opendrift:2094: 2025-10-25 11:39:13.075890 - step 148 of 216 - 5139 active elements (0 deactivated)
11:10:32 INFO    opendrift:2094: 2025-10-25 11:49:13.075890 - step 149 of 216 - 5174 active elements (0 deactivated)
11:10:32 INFO    opendrift:2094: 2025-10-25 11:59:13.075890 - step 150 of 216 - 5208 active elements (0 deactivated)
11:10:33 INFO    opendrift:2094: 2025-10-25 12:09:13.075890 - step 151 of 216 - 5243 active elements (0 deactivated)
11:10:35 INFO    opendrift:2094: 2025-10-25 12:19:13.075890 - step 152 of 216 - 5278 active elements (0 deactivated)
11:10:36 INFO    opendrift:2094: 2025-10-25 12:29:13.075890 - step 153 of 216 - 5312 active elements (0 deactivated)
11:10:36 INFO    opendrift:2094: 2025-10-25 12:39:13.075890 - step 154 of 216 - 5347 active elements (0 deactivated)
11:10:36 INFO    opendrift:2094: 2025-10-25 12:49:13.075890 - step 155 of 216 - 5382 active elements (0 deactivated)
11:10:37 INFO    opendrift:2094: 2025-10-25 12:59:13.075890 - step 156 of 216 - 5417 active elements (0 deactivated)
11:10:37 INFO    opendrift:2094: 2025-10-25 13:09:13.075890 - step 157 of 216 - 5451 active elements (0 deactivated)
11:10:40 INFO    opendrift:2094: 2025-10-25 13:19:13.075890 - step 158 of 216 - 5486 active elements (0 deactivated)
11:10:40 INFO    opendrift:2094: 2025-10-25 13:29:13.075890 - step 159 of 216 - 5521 active elements (0 deactivated)
11:10:40 INFO    opendrift:2094: 2025-10-25 13:39:13.075890 - step 160 of 216 - 5556 active elements (0 deactivated)
11:10:41 INFO    opendrift:2094: 2025-10-25 13:49:13.075890 - step 161 of 216 - 5590 active elements (0 deactivated)
11:10:41 INFO    opendrift:2094: 2025-10-25 13:59:13.075890 - step 162 of 216 - 5625 active elements (0 deactivated)
11:10:41 INFO    opendrift:2094: 2025-10-25 14:09:13.075890 - step 163 of 216 - 5660 active elements (0 deactivated)
11:10:44 INFO    opendrift:2094: 2025-10-25 14:19:13.075890 - step 164 of 216 - 5694 active elements (0 deactivated)
11:10:44 INFO    opendrift:2094: 2025-10-25 14:29:13.075890 - step 165 of 216 - 5729 active elements (0 deactivated)
11:10:44 INFO    opendrift:2094: 2025-10-25 14:39:13.075890 - step 166 of 216 - 5764 active elements (0 deactivated)
11:10:45 INFO    opendrift:2094: 2025-10-25 14:49:13.075890 - step 167 of 216 - 5799 active elements (0 deactivated)
11:10:45 INFO    opendrift:2094: 2025-10-25 14:59:13.075890 - step 168 of 216 - 5833 active elements (0 deactivated)
11:10:45 INFO    opendrift:2094: 2025-10-25 15:09:13.075890 - step 169 of 216 - 5868 active elements (0 deactivated)
11:10:48 INFO    opendrift:2094: 2025-10-25 15:19:13.075890 - step 170 of 216 - 5903 active elements (0 deactivated)
11:10:49 INFO    opendrift:2094: 2025-10-25 15:29:13.075890 - step 171 of 216 - 5937 active elements (0 deactivated)
11:10:49 INFO    opendrift:2094: 2025-10-25 15:39:13.075890 - step 172 of 216 - 5972 active elements (0 deactivated)
11:10:50 INFO    opendrift:2094: 2025-10-25 15:49:13.075890 - step 173 of 216 - 6007 active elements (0 deactivated)
11:10:50 INFO    opendrift:2094: 2025-10-25 15:59:13.075890 - step 174 of 216 - 6042 active elements (0 deactivated)
11:10:50 INFO    opendrift:2094: 2025-10-25 16:09:13.075890 - step 175 of 216 - 6076 active elements (0 deactivated)
11:10:53 INFO    opendrift:2094: 2025-10-25 16:19:13.075890 - step 176 of 216 - 6111 active elements (0 deactivated)
11:10:53 INFO    opendrift:2094: 2025-10-25 16:29:13.075890 - step 177 of 216 - 6146 active elements (0 deactivated)
11:10:54 INFO    opendrift:2094: 2025-10-25 16:39:13.075890 - step 178 of 216 - 6180 active elements (0 deactivated)
11:10:54 INFO    opendrift:2094: 2025-10-25 16:49:13.075890 - step 179 of 216 - 6215 active elements (0 deactivated)
11:10:55 INFO    opendrift:2094: 2025-10-25 16:59:13.075890 - step 180 of 216 - 6250 active elements (0 deactivated)
11:10:55 INFO    opendrift:2094: 2025-10-25 17:09:13.075890 - step 181 of 216 - 6285 active elements (0 deactivated)
11:10:58 INFO    opendrift:2094: 2025-10-25 17:19:13.075890 - step 182 of 216 - 6319 active elements (0 deactivated)
11:10:58 INFO    opendrift:2094: 2025-10-25 17:29:13.075890 - step 183 of 216 - 6354 active elements (0 deactivated)
11:10:58 INFO    opendrift:2094: 2025-10-25 17:39:13.075890 - step 184 of 216 - 6389 active elements (0 deactivated)
11:10:59 INFO    opendrift:2094: 2025-10-25 17:49:13.075890 - step 185 of 216 - 6423 active elements (0 deactivated)
11:10:59 INFO    opendrift:2094: 2025-10-25 17:59:13.075890 - step 186 of 216 - 6458 active elements (0 deactivated)
11:10:59 INFO    opendrift:2094: 2025-10-25 18:09:13.075890 - step 187 of 216 - 6493 active elements (0 deactivated)
11:11:02 INFO    opendrift:2094: 2025-10-25 18:19:13.075890 - step 188 of 216 - 6528 active elements (0 deactivated)
11:11:02 INFO    opendrift:2094: 2025-10-25 18:29:13.075890 - step 189 of 216 - 6562 active elements (0 deactivated)
11:11:02 INFO    opendrift:2094: 2025-10-25 18:39:13.075890 - step 190 of 216 - 6597 active elements (0 deactivated)
11:11:03 INFO    opendrift:2094: 2025-10-25 18:49:13.075890 - step 191 of 216 - 6632 active elements (0 deactivated)
11:11:03 INFO    opendrift:2094: 2025-10-25 18:59:13.075890 - step 192 of 216 - 6667 active elements (0 deactivated)
11:11:04 INFO    opendrift:2094: 2025-10-25 19:09:13.075890 - step 193 of 216 - 6701 active elements (0 deactivated)
11:11:06 INFO    opendrift:2094: 2025-10-25 19:19:13.075890 - step 194 of 216 - 6736 active elements (0 deactivated)
11:11:07 INFO    opendrift:2094: 2025-10-25 19:29:13.075890 - step 195 of 216 - 6771 active elements (0 deactivated)
11:11:07 INFO    opendrift:2094: 2025-10-25 19:39:13.075890 - step 196 of 216 - 6805 active elements (0 deactivated)
11:11:07 INFO    opendrift:2094: 2025-10-25 19:49:13.075890 - step 197 of 216 - 6840 active elements (0 deactivated)
11:11:08 INFO    opendrift:2094: 2025-10-25 19:59:13.075890 - step 198 of 216 - 6875 active elements (0 deactivated)
11:11:08 INFO    opendrift:2094: 2025-10-25 20:09:13.075890 - step 199 of 216 - 6910 active elements (0 deactivated)
11:11:11 INFO    opendrift:2094: 2025-10-25 20:19:13.075890 - step 200 of 216 - 6944 active elements (0 deactivated)
11:11:11 INFO    opendrift:2094: 2025-10-25 20:29:13.075890 - step 201 of 216 - 6979 active elements (0 deactivated)
11:11:11 INFO    opendrift:2094: 2025-10-25 20:39:13.075890 - step 202 of 216 - 7014 active elements (0 deactivated)
11:11:12 INFO    opendrift:2094: 2025-10-25 20:49:13.075890 - step 203 of 216 - 7048 active elements (0 deactivated)
11:11:12 INFO    opendrift:2094: 2025-10-25 20:59:13.075890 - step 204 of 216 - 7083 active elements (0 deactivated)
11:11:12 INFO    opendrift:2094: 2025-10-25 21:09:13.075890 - step 205 of 216 - 7118 active elements (0 deactivated)
11:11:15 INFO    opendrift:2094: 2025-10-25 21:19:13.075890 - step 206 of 216 - 7153 active elements (0 deactivated)
11:11:15 INFO    opendrift:2094: 2025-10-25 21:29:13.075890 - step 207 of 216 - 7187 active elements (0 deactivated)
11:11:16 INFO    opendrift:2094: 2025-10-25 21:39:13.075890 - step 208 of 216 - 7222 active elements (0 deactivated)
11:11:16 INFO    opendrift:2094: 2025-10-25 21:49:13.075890 - step 209 of 216 - 7257 active elements (0 deactivated)
11:11:16 INFO    opendrift:2094: 2025-10-25 21:59:13.075890 - step 210 of 216 - 7291 active elements (0 deactivated)
11:11:17 INFO    opendrift:2094: 2025-10-25 22:09:13.075890 - step 211 of 216 - 7326 active elements (0 deactivated)
11:11:20 INFO    opendrift:2094: 2025-10-25 22:19:13.075890 - step 212 of 216 - 7361 active elements (0 deactivated)
11:11:20 INFO    opendrift:2094: 2025-10-25 22:29:13.075890 - step 213 of 216 - 7396 active elements (0 deactivated)
11:11:20 INFO    opendrift:2094: 2025-10-25 22:39:13.075890 - step 214 of 216 - 7430 active elements (0 deactivated)
11:11:21 INFO    opendrift:2094: 2025-10-25 22:49:13.075890 - step 215 of 216 - 7465 active elements (0 deactivated)
11:11:21 INFO    opendrift:2094: 2025-10-25 22:59:13.075890 - step 216 of 216 - 7500 active elements (0 deactivated)
11:11:22 INFO    opendrift:2203: Removing 2500 unseeded elements

<xarray.Dataset> Size: 55MB
Dimensions:                                                                              (
                                                                                          trajectory: 7500,
                                                                                          time: 73)
Coordinates:
  * trajectory                                                                           (trajectory) int64 60kB ...
  * time                                                                                 (time) datetime64[ns] 584B ...
Data variables: (12/25)
    status                                                                               (trajectory, time) float32 2MB ...
    moving                                                                               (trajectory, time) float32 2MB ...
    age_seconds                                                                          (trajectory, time) float32 2MB ...
    origin_marker                                                                        (trajectory, time) float32 2MB ...
    lon                                                                                  (trajectory, time) float32 2MB ...
    lat                                                                                  (trajectory, time) float32 2MB ...
    ...                                                                                   ...
    sea_surface_wave_period_at_variance_spectral_density_maximum                         (trajectory, time) float32 2MB ...
    sea_surface_wave_mean_period_from_variance_spectral_density_second_frequency_moment  (trajectory, time) float32 2MB ...
    land_binary_mask                                                                     (trajectory, time) float32 2MB ...
    ocean_vertical_diffusivity                                                           (trajectory, time) float32 2MB ...
    ocean_mixed_layer_thickness                                                          (trajectory, time) float32 2MB ...
    sea_floor_depth_below_sea_level                                                      (trajectory, time) float32 2MB ...
Attributes: (12/126)
    Conventions:                                                             ...
    standard_name_vocabulary:                                                ...
    featureType:                                                             ...
    title:                                                                   ...
    summary:                                                                 ...
    keywords:                                                                ...
    ...                                                                                                               ...
    geospatial_lon_units:                                                    ...
    geospatial_lon_resolution:                                               ...
    runtime:                                                                 ...
    geospatial_vertical_min:                                                 ...
    geospatial_vertical_max:                                                 ...
    geospatial_vertical_positive:                                            ...

xarray.Dataset

• Dimensions:
  • trajectory: 7500
  • time: 73
• Coordinates: (2)
  • trajectory
    (trajectory)
    int64
    0 1 2 3 4 ... 7496 7497 7498 7499

    cf_role :

    trajectory_id

    dtype :

    <class 'numpy.int32'>

    array([   0,    1,    2, ..., 7497, 7498, 7499], shape=(7500,))

  • time
    (time)
    datetime64[ns]
    2025-10-24T11:09:13.075890 ... 2...

    standard_name :

    time

    long_name :

    time

    dtype :

    <class 'numpy.float64'>

    array(['2025-10-24T11:09:13.075890000', '2025-10-24T11:39:13.075890000',
           '2025-10-24T12:09:13.075890000', '2025-10-24T12:39:13.075890000',
           '2025-10-24T13:09:13.075890000', '2025-10-24T13:39:13.075890000',
           '2025-10-24T14:09:13.075890000', '2025-10-24T14:39:13.075890000',
           '2025-10-24T15:09:13.075890000', '2025-10-24T15:39:13.075890000',
           '2025-10-24T16:09:13.075890000', '2025-10-24T16:39:13.075890000',
           '2025-10-24T17:09:13.075890000', '2025-10-24T17:39:13.075890000',
           '2025-10-24T18:09:13.075890000', '2025-10-24T18:39:13.075890000',
           '2025-10-24T19:09:13.075890000', '2025-10-24T19:39:13.075890000',
           '2025-10-24T20:09:13.075890000', '2025-10-24T20:39:13.075890000',
           '2025-10-24T21:09:13.075890000', '2025-10-24T21:39:13.075890000',
           '2025-10-24T22:09:13.075890000', '2025-10-24T22:39:13.075890000',
           '2025-10-24T23:09:13.075890000', '2025-10-24T23:39:13.075890000',
           '2025-10-25T00:09:13.075890000', '2025-10-25T00:39:13.075890000',
           '2025-10-25T01:09:13.075890000', '2025-10-25T01:39:13.075890000',
           '2025-10-25T02:09:13.075890000', '2025-10-25T02:39:13.075890000',
           '2025-10-25T03:09:13.075890000', '2025-10-25T03:39:13.075890000',
           '2025-10-25T04:09:13.075890000', '2025-10-25T04:39:13.075890000',
           '2025-10-25T05:09:13.075890000', '2025-10-25T05:39:13.075890000',
           '2025-10-25T06:09:13.075890000', '2025-10-25T06:39:13.075890000',
           '2025-10-25T07:09:13.075890000', '2025-10-25T07:39:13.075890000',
           '2025-10-25T08:09:13.075890000', '2025-10-25T08:39:13.075890000',
           '2025-10-25T09:09:13.075890000', '2025-10-25T09:39:13.075890000',
           '2025-10-25T10:09:13.075890000', '2025-10-25T10:39:13.075890000',
           '2025-10-25T11:09:13.075890000', '2025-10-25T11:39:13.075890000',
           '2025-10-25T12:09:13.075890000', '2025-10-25T12:39:13.075890000',
           '2025-10-25T13:09:13.075890000', '2025-10-25T13:39:13.075890000',
           '2025-10-25T14:09:13.075890000', '2025-10-25T14:39:13.075890000',
           '2025-10-25T15:09:13.075890000', '2025-10-25T15:39:13.075890000',
           '2025-10-25T16:09:13.075890000', '2025-10-25T16:39:13.075890000',
           '2025-10-25T17:09:13.075890000', '2025-10-25T17:39:13.075890000',
           '2025-10-25T18:09:13.075890000', '2025-10-25T18:39:13.075890000',
           '2025-10-25T19:09:13.075890000', '2025-10-25T19:39:13.075890000',
           '2025-10-25T20:09:13.075890000', '2025-10-25T20:39:13.075890000',
           '2025-10-25T21:09:13.075890000', '2025-10-25T21:39:13.075890000',
           '2025-10-25T22:09:13.075890000', '2025-10-25T22:39:13.075890000',
           '2025-10-25T23:09:13.075890000'], dtype='datetime64[ns]')

• Data variables: (25)
  • status
    (trajectory, time)
    float32
    0.0 0.0 0.0 0.0 ... nan nan nan 0.0

    dtype :

    <class 'numpy.int32'>

    valid_range :

    [0 0]

    flag_values :

    [0]

    flag_meanings :

    active

    array([[ 0.,  0.,  0., ...,  0.,  0.,  0.],
           [ 0.,  0.,  0., ...,  0.,  0.,  0.],
           [ 0.,  0.,  0., ...,  0.,  0.,  0.],
           ...,
           [nan, nan, nan, ..., nan, nan,  0.],
           [nan, nan, nan, ..., nan, nan,  0.],
           [nan, nan, nan, ..., nan, nan,  0.]],
          shape=(7500, 73), dtype=float32)

  • moving
    (trajectory, time)
    float32
    1.0 1.0 1.0 1.0 ... nan nan nan 1.0

    dtype :

    <class 'numpy.int32'>

    minval :

    1

    maxval :

    1

    array([[ 1.,  1.,  1., ...,  1.,  1.,  1.],
           [ 1.,  1.,  1., ...,  1.,  1.,  1.],
           [ 1.,  1.,  1., ...,  1.,  1.,  1.],
           ...,
           [nan, nan, nan, ..., nan, nan,  1.],
           [nan, nan, nan, ..., nan, nan,  1.],
           [nan, nan, nan, ..., nan, nan,  1.]],
          shape=(7500, 73), dtype=float32)

  • age_seconds
    (trajectory, time)
    float32
    0.0 1.8e+03 3.6e+03 ... nan 600.0

    dtype :

    <class 'numpy.float32'>

    units :

    s

    minval :

    0.0

    maxval :

    129600.0

    array([[     0.,   1800.,   3600., ..., 126000., 127800., 129600.],
           [     0.,   1800.,   3600., ..., 126000., 127800., 129600.],
           [     0.,   1800.,   3600., ..., 126000., 127800., 129600.],
           ...,
           [    nan,     nan,     nan, ...,     nan,     nan,    600.],
           [    nan,     nan,     nan, ...,     nan,     nan,    600.],
           [    nan,     nan,     nan, ...,     nan,     nan,    600.]],
          shape=(7500, 73), dtype=float32)

  • origin_marker
    (trajectory, time)
    float32
    0.0 0.0 0.0 0.0 ... nan nan nan 0.0

    dtype :

    <class 'numpy.int32'>

    unit :

    description :

    An integer kept constant during the simulation. Different values may be used for different seedings, to separate elements during analysis. With GUI, only a single seeding is possible.

    flag_values :

    [0]

    flag_meanings :

    Seed_0

    minval :

    0

    maxval :

    0

    array([[ 0.,  0.,  0., ...,  0.,  0.,  0.],
           [ 0.,  0.,  0., ...,  0.,  0.,  0.],
           [ 0.,  0.,  0., ...,  0.,  0.,  0.],
           ...,
           [nan, nan, nan, ..., nan, nan,  0.],
           [nan, nan, nan, ..., nan, nan,  0.],
           [nan, nan, nan, ..., nan, nan,  0.]],
          shape=(7500, 73), dtype=float32)

  • lon
    (trajectory, time)
    float32
    10.96 10.98 10.98 ... nan nan 10.97

    dtype :

    <class 'numpy.float32'>

    units :

    degrees_east

    standard_name :

    longitude

    long_name :

    longitude

    axis :

    X

    minval :

    10.388928

    maxval :

    11.0206

    array([[10.96292 , 10.975819, 10.978008, ..., 10.441654, 10.441212,
            10.44098 ],
           [10.96292 , 10.974136, 10.980945, ..., 10.691433, 10.691658,
            10.686362],
           [10.96292 , 10.97306 , 10.979497, ..., 10.599796, 10.596733,
            10.588597],
           ...,
           [      nan,       nan,       nan, ...,       nan,       nan,
            10.965602],
           [      nan,       nan,       nan, ...,       nan,       nan,
            10.966829],
           [      nan,       nan,       nan, ...,       nan,       nan,
            10.967149]], shape=(7500, 73), dtype=float32)

  • lat
    (trajectory, time)
    float32
    59.17 59.16 59.16 ... nan nan 59.17

    dtype :

    <class 'numpy.float32'>

    units :

    degrees_north

    standard_name :

    latitude

    long_name :

    latitude

    axis :

    Y

    minval :

    59.08246

    maxval :

    59.304264

    array([[59.169193, 59.163273, 59.156464, ..., 59.229336, 59.229248,
            59.227608],
           [59.169193, 59.16573 , 59.154865, ..., 59.26365 , 59.262447,
            59.2584  ],
           [59.169193, 59.162247, 59.15457 , ..., 59.23172 , 59.234436,
            59.236008],
           ...,
           [      nan,       nan,       nan, ...,       nan,       nan,
            59.167927],
           [      nan,       nan,       nan, ...,       nan,       nan,
            59.167885],
           [      nan,       nan,       nan, ...,       nan,       nan,
            59.168   ]], shape=(7500, 73), dtype=float32)

  • z
    (trajectory, time)
    float32
    0.0 0.0 0.0 0.0 ... nan nan nan 0.0

    dtype :

    <class 'numpy.float32'>

    units :

    m

    standard_name :

    z

    long_name :

    vertical position

    axis :

    Z

    positive :

    up

    minval :

    0.0

    maxval :

    0.0

    array([[ 0.,  0.,  0., ...,  0.,  0.,  0.],
           [ 0.,  0.,  0., ...,  0.,  0.,  0.],
           [ 0.,  0.,  0., ...,  0.,  0.,  0.],
           ...,
           [nan, nan, nan, ..., nan, nan,  0.],
           [nan, nan, nan, ..., nan, nan,  0.],
           [nan, nan, nan, ..., nan, nan,  0.]],
          shape=(7500, 73), dtype=float32)

  • wind_drift_factor
    (trajectory, time)
    float32
    0.02 0.02 0.02 ... nan nan 0.02

    dtype :

    <class 'numpy.float32'>

    units :

    1

    description :

    Elements at surface are moved with this fraction of the vind vector, in addition to currents and Stokes drift

    minval :

    0.02

    maxval :

    0.02

    array([[0.02, 0.02, 0.02, ..., 0.02, 0.02, 0.02],
           [0.02, 0.02, 0.02, ..., 0.02, 0.02, 0.02],
           [0.02, 0.02, 0.02, ..., 0.02, 0.02, 0.02],
           ...,
           [ nan,  nan,  nan, ...,  nan,  nan, 0.02],
           [ nan,  nan,  nan, ...,  nan,  nan, 0.02],
           [ nan,  nan,  nan, ...,  nan,  nan, 0.02]],
          shape=(7500, 73), dtype=float32)

  • current_drift_factor
    (trajectory, time)
    float32
    1.0 1.0 1.0 1.0 ... nan nan nan 1.0

    dtype :

    <class 'numpy.float32'>

    units :

    1

    description :

    Elements are moved with this fraction of the current vector, in addition to currents and Stokes drift

    minval :

    1.0

    maxval :

    1.0

    array([[ 1.,  1.,  1., ...,  1.,  1.,  1.],
           [ 1.,  1.,  1., ...,  1.,  1.,  1.],
           [ 1.,  1.,  1., ...,  1.,  1.,  1.],
           ...,
           [nan, nan, nan, ..., nan, nan,  1.],
           [nan, nan, nan, ..., nan, nan,  1.],
           [nan, nan, nan, ..., nan, nan,  1.]],
          shape=(7500, 73), dtype=float32)

  • terminal_velocity
    (trajectory, time)
    float32
    -0.001 -0.001 -0.001 ... nan -0.001

    dtype :

    <class 'numpy.float32'>

    units :

    m/s

    minval :

    -0.001

    maxval :

    -0.001

    array([[-0.001, -0.001, -0.001, ..., -0.001, -0.001, -0.001],
           [-0.001, -0.001, -0.001, ..., -0.001, -0.001, -0.001],
           [-0.001, -0.001, -0.001, ..., -0.001, -0.001, -0.001],
           ...,
           [   nan,    nan,    nan, ...,    nan,    nan, -0.001],
           [   nan,    nan,    nan, ...,    nan,    nan, -0.001],
           [   nan,    nan,    nan, ...,    nan,    nan, -0.001]],
          shape=(7500, 73), dtype=float32)

  • settled
    (trajectory, time)
    float32
    0.0 0.0 0.0 0.0 ... nan nan nan 0.0

    dtype :

    <class 'numpy.uint8'>

    units :

    1

    minval :

    0

    maxval :

    0

    array([[ 0.,  0.,  0., ...,  0.,  0.,  0.],
           [ 0.,  0.,  0., ...,  0.,  0.,  0.],
           [ 0.,  0.,  0., ...,  0.,  0.,  0.],
           ...,
           [nan, nan, nan, ..., nan, nan,  0.],
           [nan, nan, nan, ..., nan, nan,  0.],
           [nan, nan, nan, ..., nan, nan,  0.]],
          shape=(7500, 73), dtype=float32)

  • x_sea_water_velocity
    (trajectory, time)
    float32
    0.7397 0.4358 ... nan 0.4544

    minval :

    -1.3003205

    maxval :

    1.2197243

    array([[ 0.7397382 ,  0.4357931 , -0.2321072 , ...,  0.10193293,
            -0.02500845,  0.05908729],
           [ 0.4669592 ,  0.3908679 ,  0.5500243 , ...,  0.16593699,
            -0.12605025, -0.17713027],
           [ 0.58267534,  0.4194031 ,  0.15626884, ...,  0.08133548,
            -0.06554389, -0.05323765],
           ...,
           [        nan,         nan,         nan, ...,         nan,
                    nan,  0.25399423],
           [        nan,         nan,         nan, ...,         nan,
                    nan,  0.3482688 ],
           [        nan,         nan,         nan, ...,         nan,
                    nan,  0.45441517]], shape=(7500, 73), dtype=float32)

  • y_sea_water_velocity
    (trajectory, time)
    float32
    -0.3285 -0.4495 ... nan -0.2458

    minval :

    -1.3708451

    maxval :

    1.1688018

    array([[-0.3285052 , -0.4494677 , -0.24163724, ..., -0.0180799 ,
            -0.3531162 , -0.088743  ],
           [-0.11371684, -0.34457105, -0.24423492, ..., -0.27254656,
            -0.00878733, -0.54955107],
           [-0.11929901, -0.28952163, -0.39212495, ...,  0.01381349,
             0.17752083,  0.06832378],
           ...,
           [        nan,         nan,         nan, ...,         nan,
                    nan, -0.25229424],
           [        nan,         nan,         nan, ...,         nan,
                    nan, -0.23683333],
           [        nan,         nan,         nan, ...,         nan,
                    nan, -0.24584281]], shape=(7500, 73), dtype=float32)

  • sea_surface_height
    (trajectory, time)
    float32
    -0.3076 -0.3085 ... nan -0.4622

    minval :

    -0.509531

    maxval :

    0.09188668

    array([[-0.3075783 , -0.30851176, -0.29501468, ..., -0.4464526 ,
            -0.4674526 , -0.48145258],
           [-0.3075783 , -0.3073598 , -0.29464215, ..., -0.4404829 ,
            -0.46216798, -0.47676304],
           [-0.3075783 , -0.3087041 , -0.29447183, ..., -0.43990698,
            -0.46162832, -0.4764165 ],
           ...,
           [        nan,         nan,         nan, ...,         nan,
                    nan, -0.46220472],
           [        nan,         nan,         nan, ...,         nan,
                    nan, -0.46220472],
           [        nan,         nan,         nan, ...,         nan,
                    nan, -0.46220472]], shape=(7500, 73), dtype=float32)

  • upward_sea_water_velocity
    (trajectory, time)
    float32
    -4.415e-05 6.145e-06 ... -6.64e-05

    minval :

    -0.0001374178

    maxval :

    4.691832e-05

    array([[-4.4147240e-05,  6.1452874e-06,  1.9999999e-05, ...,
            -9.9999997e-06, -9.9999997e-06, -9.9999997e-06],
           [-4.4147240e-05,  6.1452874e-06,  1.9999999e-05, ...,
            -9.9999997e-06, -9.9999997e-06, -9.9999997e-06],
           [-4.4147240e-05,  6.1452874e-06,  1.9999999e-05, ...,
            -9.9999997e-06, -9.9999997e-06, -9.9999997e-06],
           ...,
           [           nan,            nan,            nan, ...,
                       nan,            nan, -6.6402972e-05],
           [           nan,            nan,            nan, ...,
                       nan,            nan, -6.6402972e-05],
           [           nan,            nan,            nan, ...,
                       nan,            nan, -6.6402972e-05]],
          shape=(7500, 73), dtype=float32)

  • x_wind
    (trajectory, time)
    float32
    -3.124 -6.338 -4.521 ... nan -2.566

    minval :

    -15.540854

    maxval :

    5.746385

    array([[-3.1238658 , -6.338433  , -4.5205665 , ..., -0.99990577,
            -5.344036  , -3.5883396 ],
           [-4.324081  , -5.9649124 , -8.301604  , ..., -2.781629  ,
            -3.3838978 , -3.1595469 ],
           [-2.3032455 , -6.4346194 , -2.6745288 , ..., -3.788246  ,
            -4.1906743 , -0.80100274],
           ...,
           [        nan,         nan,         nan, ...,         nan,
                    nan,  0.0826599 ],
           [        nan,         nan,         nan, ...,         nan,
                    nan,  1.2162545 ],
           [        nan,         nan,         nan, ...,         nan,
                    nan, -2.565808  ]], shape=(7500, 73), dtype=float32)

  • y_wind
    (trajectory, time)
    float32
    1.466 -2.916 -3.198 ... nan 1.218

    minval :

    -10.984078

    maxval :

    14.477595

    array([[ 1.4655952 , -2.9155676 , -3.1978173 , ...,  0.09373441,
             0.9912134 , -2.9642105 ],
           [-3.248885  , -4.591594  , -3.8455052 , ..., -0.52262574,
            -1.0646107 , -2.2626996 ],
           [-3.9165566 , -5.8160768 , -1.0460427 , ..., -1.2317085 ,
            -4.9883986 , -2.5144296 ],
           ...,
           [        nan,         nan,         nan, ...,         nan,
                    nan,  0.84157526],
           [        nan,         nan,         nan, ...,         nan,
                    nan, -0.31977487],
           [        nan,         nan,         nan, ...,         nan,
                    nan,  1.2183061 ]], shape=(7500, 73), dtype=float32)

  • sea_surface_wave_stokes_drift_x_velocity
    (trajectory, time)
    float32
    0.0 0.0 0.0 0.0 ... nan nan nan 0.0

    minval :

    0.0

    maxval :

    0.0

    array([[ 0.,  0.,  0., ...,  0.,  0.,  0.],
           [ 0.,  0.,  0., ...,  0.,  0.,  0.],
           [ 0.,  0.,  0., ...,  0.,  0.,  0.],
           ...,
           [nan, nan, nan, ..., nan, nan,  0.],
           [nan, nan, nan, ..., nan, nan,  0.],
           [nan, nan, nan, ..., nan, nan,  0.]],
          shape=(7500, 73), dtype=float32)

  • sea_surface_wave_stokes_drift_y_velocity
    (trajectory, time)
    float32
    0.0 0.0 0.0 0.0 ... nan nan nan 0.0

    minval :

    0.0

    maxval :

    0.0

    array([[ 0.,  0.,  0., ...,  0.,  0.,  0.],
           [ 0.,  0.,  0., ...,  0.,  0.,  0.],
           [ 0.,  0.,  0., ...,  0.,  0.,  0.],
           ...,
           [nan, nan, nan, ..., nan, nan,  0.],
           [nan, nan, nan, ..., nan, nan,  0.],
           [nan, nan, nan, ..., nan, nan,  0.]],
          shape=(7500, 73), dtype=float32)

  • sea_surface_wave_period_at_variance_spectral_density_maximum
    (trajectory, time)
    float32
    0.0 0.0 0.0 0.0 ... nan nan nan 0.0

    minval :

    0.0

    maxval :

    0.0

    array([[ 0.,  0.,  0., ...,  0.,  0.,  0.],
           [ 0.,  0.,  0., ...,  0.,  0.,  0.],
           [ 0.,  0.,  0., ...,  0.,  0.,  0.],
           ...,
           [nan, nan, nan, ..., nan, nan,  0.],
           [nan, nan, nan, ..., nan, nan,  0.],
           [nan, nan, nan, ..., nan, nan,  0.]],
          shape=(7500, 73), dtype=float32)

  • sea_surface_wave_mean_period_from_variance_spectral_density_second_frequency_moment
    (trajectory, time)
    float32
    2.948 5.962 4.731 ... nan nan 2.427

    minval :

    0.020594029

    maxval :

    14.291668

    array([[2.9484198 , 5.961503  , 4.73145   , ..., 0.85813594, 4.644205  ,
            3.976982  ],
           [4.621488  , 6.4320087 , 7.817568  , ..., 2.4184082 , 3.0311627 ,
            3.320643  ],
           [3.8823776 , 7.4113235 , 2.4538798 , ..., 3.4037452 , 5.5669184 ,
            2.2548897 ],
           ...,
           [       nan,        nan,        nan, ...,        nan,        nan,
            0.7225617 ],
           [       nan,        nan,        nan, ...,        nan,        nan,
            1.0745732 ],
           [       nan,        nan,        nan, ...,        nan,        nan,
            2.4270036 ]], shape=(7500, 73), dtype=float32)

  • land_binary_mask
    (trajectory, time)
    float32
    0.0 0.0 0.0 0.0 ... nan nan nan 0.0

    minval :

    0.0

    maxval :

    0.0

    array([[ 0.,  0.,  0., ...,  0.,  0.,  0.],
           [ 0.,  0.,  0., ...,  0.,  0.,  0.],
           [ 0.,  0.,  0., ...,  0.,  0.,  0.],
           ...,
           [nan, nan, nan, ..., nan, nan,  0.],
           [nan, nan, nan, ..., nan, nan,  0.],
           [nan, nan, nan, ..., nan, nan,  0.]],
          shape=(7500, 73), dtype=float32)

  • ocean_vertical_diffusivity
    (trajectory, time)
    float32
    1e-06 1e-06 1e-06 ... nan nan 1e-06

    minval :

    1e-06

    maxval :

    0.0008708122

    array([[1.e-06, 1.e-06, 1.e-06, ..., 1.e-06, 1.e-06, 1.e-06],
           [1.e-06, 1.e-06, 1.e-06, ..., 1.e-06, 1.e-06, 1.e-06],
           [1.e-06, 1.e-06, 1.e-06, ..., 1.e-06, 1.e-06, 1.e-06],
           ...,
           [   nan,    nan,    nan, ...,    nan,    nan, 1.e-06],
           [   nan,    nan,    nan, ...,    nan,    nan, 1.e-06],
           [   nan,    nan,    nan, ...,    nan,    nan, 1.e-06]],
          shape=(7500, 73), dtype=float32)

  • ocean_mixed_layer_thickness
    (trajectory, time)
    float32
    50.0 50.0 50.0 ... nan nan 50.0

    minval :

    50.0

    maxval :

    50.0

    array([[50., 50., 50., ..., 50., 50., 50.],
           [50., 50., 50., ..., 50., 50., 50.],
           [50., 50., 50., ..., 50., 50., 50.],
           ...,
           [nan, nan, nan, ..., nan, nan, 50.],
           [nan, nan, nan, ..., nan, nan, 50.],
           [nan, nan, nan, ..., nan, nan, 50.]],
          shape=(7500, 73), dtype=float32)

  • sea_floor_depth_below_sea_level
    (trajectory, time)
    float32
    14.0 14.03 14.14 ... nan nan 14.0

    minval :

    10.0

    maxval :

    176.83566

    array([[ 14.000173,  14.031254,  14.136669, ...,  10.      ,  10.      ,
             10.      ],
           [ 14.000173,  14.067295,  14.113483, ...,  49.188194,  50.16738 ,
             53.911556],
           [ 14.000173,  14.129854,  14.181915, ..., 144.90305 , 147.20038 ,
            142.90482 ],
           ...,
           [       nan,        nan,        nan, ...,        nan,        nan,
             14.000064],
           [       nan,        nan,        nan, ...,        nan,        nan,
             14.000064],
           [       nan,        nan,        nan, ...,        nan,        nan,
             14.000064]], shape=(7500, 73), dtype=float32)

• Attributes: (126)

  Conventions :

  CF-1.11, ACDD-1.3

  standard_name_vocabulary :

  CF Standard Name Table v85

  featureType :

  trajectory

  title :

  OpenDrift trajectory simulation

  summary :

  Output from simulation with OpenDrift framework

  keywords :

  trajectory, drift, lagrangian, simulation

  history :

  Created 2025-10-24 11:09:17.480787

  date_created :

  2025-10-24T11:09:17.480811

  source :

  Output from simulation with OpenDrift

  model_url :

  https://github.com/OpenDrift/opendrift

  opendrift_class :

  SedimentDrift

  opendrift_module :

  opendrift.models.sedimentdrift

  readers :

  odict_keys(['LazyReader: https://thredds.met.no/thredds/dodsC/fou-hi/norkystv3_800m_m00_be', 'global_landmask'])

  time_coverage_start :

  2025-10-24 11:09:13.075890

  time_step_calculation :

  0:10:00

  time_step_output :

  0:30:00

  config_environment:constant:x_sea_water_velocity :

  None

  config_environment:fallback:x_sea_water_velocity :

  0

  config_environment:constant:y_sea_water_velocity :

  None

  config_environment:fallback:y_sea_water_velocity :

  0

  config_environment:constant:sea_surface_height :

  None

  config_environment:fallback:sea_surface_height :

  0

  config_environment:constant:upward_sea_water_velocity :

  None

  config_environment:fallback:upward_sea_water_velocity :

  0

  config_environment:constant:x_wind :

  None

  config_environment:fallback:x_wind :

  0

  config_environment:constant:y_wind :

  None

  config_environment:fallback:y_wind :

  0

  config_environment:constant:sea_surface_wave_stokes_drift_x_velocity :

  None

  config_environment:fallback:sea_surface_wave_stokes_drift_x_velocity :

  0

  config_environment:constant:sea_surface_wave_stokes_drift_y_velocity :

  None

  config_environment:fallback:sea_surface_wave_stokes_drift_y_velocity :

  0

  config_environment:constant:sea_surface_wave_period_at_variance_spectral_density_maximum :

  None

  config_environment:fallback:sea_surface_wave_period_at_variance_spectral_density_maximum :

  0

  config_environment:constant:sea_surface_wave_mean_period_from_variance_spectral_density_second_frequency_moment :

  None

  config_environment:fallback:sea_surface_wave_mean_period_from_variance_spectral_density_second_frequency_moment :

  0

  config_environment:constant:land_binary_mask :

  None

  config_environment:fallback:land_binary_mask :

  None

  config_environment:constant:ocean_vertical_diffusivity :

  None

  config_environment:fallback:ocean_vertical_diffusivity :

  0.02

  config_environment:constant:ocean_mixed_layer_thickness :

  None

  config_environment:fallback:ocean_mixed_layer_thickness :

  50

  config_environment:constant:sea_floor_depth_below_sea_level :

  None

  config_environment:fallback:sea_floor_depth_below_sea_level :

  10000

  config_general:use_auto_landmask :

  True

  config_drift:current_uncertainty :

  0.2

  config_drift:current_uncertainty_uniform :

  0

  config_drift:max_speed :

  2.0

  config_readers:max_number_of_fails :

  1

  config_general:simulation_name :

  config_general:coastline_action :

  previous

  config_general:coastline_approximation_precision :

  0.001

  config_general:time_step_minutes :

  60

  config_general:time_step_output_minutes :

  None

  config_seed:ocean_only :

  True

  config_seed:number :

  1

  config_drift:max_age_seconds :

  None

  config_drift:advection_scheme :

  euler

  config_drift:horizontal_diffusivity :

  0

  config_drift:profiles_depth :

  50

  config_drift:wind_uncertainty :

  2.0

  config_drift:relative_wind :

  False

  config_drift:deactivate_north_of :

  None

  config_drift:deactivate_south_of :

  None

  config_drift:deactivate_east_of :

  None

  config_drift:deactivate_west_of :

  None

  config_seed:origin_marker :

  0

  config_seed:z :

  0

  config_seed:wind_drift_factor :

  0.02

  config_seed:current_drift_factor :

  1

  config_seed:terminal_velocity :

  -0.001

  config_seed:settled :

  0

  config_drift:vertical_advection :

  True

  config_drift:vertical_advection_at_surface :

  False

  config_drift:water_column_stretching :

  False

  config_drift:vertical_advection_correction :

  False

  config_drift:vertical_mixing :

  True

  config_drift:vertical_mixing_at_surface :

  False

  config_vertical_mixing:timestep :

  60

  config_vertical_mixing:diffusivitymodel :

  windspeed_Large1994

  config_vertical_mixing:background_diffusivity :

  1.2e-05

  config_vertical_mixing:TSprofiles :

  False

  config_drift:wind_drift_depth :

  0.1

  config_drift:stokes_drift :

  True

  config_drift:stokes_drift_profile :

  Phillips

  config_drift:use_tabularised_stokes_drift :

  False

  config_drift:tabularised_stokes_drift_fetch :

  25000

  config_general:seafloor_action :

  lift_to_seafloor

  config_drift:truncate_ocean_model_below_m :

  None

  config_seed:seafloor :

  False

  config_vertical_mixing:resuspension_threshold :

  0.2

  opendrift_version :

  1.14.4

  seed_geojson :

  {"features": [], "type": "FeatureCollection"}

  simulation_time :

  2025-10-24 11:09:17.491931

  reader_x_sea_water_velocity :

  ['https://thredds.met.no/thredds/dodsC/fou-hi/norkystv3_800m_m00_be']

  reader_y_sea_water_velocity :

  ['https://thredds.met.no/thredds/dodsC/fou-hi/norkystv3_800m_m00_be']

  reader_sea_surface_height :

  ['https://thredds.met.no/thredds/dodsC/fou-hi/norkystv3_800m_m00_be']

  reader_upward_sea_water_velocity :

  ['https://thredds.met.no/thredds/dodsC/fou-hi/norkystv3_800m_m00_be']

  reader_x_wind :

  ['https://thredds.met.no/thredds/dodsC/fou-hi/norkystv3_800m_m00_be']

  reader_y_wind :

  ['https://thredds.met.no/thredds/dodsC/fou-hi/norkystv3_800m_m00_be']

  reader_sea_surface_wave_stokes_drift_x_velocity :

  0

  reader_sea_surface_wave_stokes_drift_y_velocity :

  0

  reader_sea_surface_wave_period_at_variance_spectral_density_maximum :

  0

  reader_sea_surface_wave_mean_period_from_variance_spectral_density_second_frequency_moment :

  0

  reader_land_binary_mask :

  ['global_landmask']

  reader_ocean_vertical_diffusivity :

  ['https://thredds.met.no/thredds/dodsC/fou-hi/norkystv3_800m_m00_be']

  reader_ocean_mixed_layer_thickness :

  50

  reader_sea_floor_depth_below_sea_level :

  ['https://thredds.met.no/thredds/dodsC/fou-hi/norkystv3_800m_m00_be']

  time_coverage_end :

  2025-10-25 23:09:13.075890

  time_coverage_duration :

  P1DT12H0M0S

  time_coverage_resolution :

  P0DT0H10M0S

  performance :

  -------------------- Reader performance: -------------------- global_landmask 0:00:04.7 total 0:00:00.0 preparing 0:00:04.6 reading 0:00:00.0 masking -------------------- https://thredds.met.no/thredds/dodsC/fou-hi/norkystv3_800m_m00_be 0:01:23.8 total 0:00:00.0 preparing 0:01:20.8 reading 0:00:08.5 interpolation 0:00:00.2 interpolation_time 0:00:03.0 rotating vectors 0:00:00.0 masking -------------------- Performance: 2:08.8 total time 4.3 configuration 0.0 preparing main loop 0.0 moving elements to ocean 2:04.2 main loop 4.8 updating elements 3.8 vertical mixing 0.1 cleaning up --------------------

  geospatial_bounds_crs :

  EPSG:4326

  geospatial_bounds_vertical_crs :

  EPSG:5831

  geospatial_lat_min :

  59.08246

  geospatial_lat_max :

  59.304264

  geospatial_lat_units :

  degrees_north

  geospatial_lat_resolution :

  point

  geospatial_lon_min :

  10.388928

  geospatial_lon_max :

  11.0206

  geospatial_lon_units :

  degrees_east

  geospatial_lon_resolution :

  point

  runtime :

  0:02:08.895894

  geospatial_vertical_min :

  0.0

  geospatial_vertical_max :

  0.0

  geospatial_vertical_positive :

  up

Plotting the depth vs time

o.plot_property('z')

Animate sediment particles colored by their depth

o.animation(color='z', fast=False, buffer=.01)
#o.animation(color='moving', fast=False, buffer=.01, colorbar=False, legend=['Sedimented', 'Moving'])

11:11:36 INFO    opendrift:4623: Saving animation to /root/project/docs/source/gallery/animations/example_sediments_0.gif...
11:12:28 INFO    opendrift:3064: Time to make animation: 0:01:02.264784