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'])

14:12:23 INFO    opendrift:569: OpenDriftSimulation initialised (version 1.14.3 / v1.14.3-25-gcd89af5)

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))

14:12:23 INFO    opendrift.models.basemodel.environment:206: Adding a global landmask from GSHHG
14:12:27 INFO    opendrift.models.basemodel.environment:229: Fallback values will be used for the following variables which have no readers:
14:12:27 INFO    opendrift.models.basemodel.environment:232:    x_sea_water_velocity: 0.000000
14:12:27 INFO    opendrift.models.basemodel.environment:232:    y_sea_water_velocity: 0.000000
14:12:27 INFO    opendrift.models.basemodel.environment:232:    sea_surface_height: 0.000000
14:12:27 INFO    opendrift.models.basemodel.environment:232:    upward_sea_water_velocity: 0.000000
14:12:27 INFO    opendrift.models.basemodel.environment:232:    x_wind: 0.000000
14:12:27 INFO    opendrift.models.basemodel.environment:232:    y_wind: 0.000000
14:12:27 INFO    opendrift.models.basemodel.environment:232:    sea_surface_wave_stokes_drift_x_velocity: 0.000000
14:12:27 INFO    opendrift.models.basemodel.environment:232:    sea_surface_wave_stokes_drift_y_velocity: 0.000000
14:12:27 INFO    opendrift.models.basemodel.environment:232:    sea_surface_wave_period_at_variance_spectral_density_maximum: 0.000000
14:12:27 INFO    opendrift.models.basemodel.environment:232:    sea_surface_wave_mean_period_from_variance_spectral_density_second_frequency_moment: 0.000000
14:12:27 INFO    opendrift.models.basemodel.environment:232:    ocean_vertical_diffusivity: 0.020000
14:12:27 INFO    opendrift.models.basemodel.environment:232:    ocean_mixed_layer_thickness: 50.000000
14:12:27 INFO    opendrift.models.basemodel.environment:232:    sea_floor_depth_below_sea_level: 10000.000000
14:12:27 INFO    opendrift:1790: Storing previous values of element property lon because of condition (('general:coastline_action', 'in', ['stranding', 'previous']), 'or', ('general:seafloor_action', 'in', ['previous']))
14:12:27 INFO    opendrift:1790: Storing previous values of element property lat because of condition (('general:coastline_action', 'in', ['stranding', 'previous']), 'or', ('general:seafloor_action', 'in', ['previous']))
14:12:27 INFO    opendrift:945: Using existing reader for land_binary_mask to move elements to ocean
14:12:27 INFO    opendrift:975: All points are in ocean
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14:12:27 INFO    opendrift.readers:63: Opening file with xr.open_dataset
14:12:29 INFO    opendrift.readers.reader_netCDF_CF_generic:332: Detected dimensions: {'x': 'X', 'y': 'Y', 'z': 'depth', 'time': 'time'}
14:12:29 INFO    opendrift.readers.basereader:176: Variable x_sea_water_velocity will be rotated from eastward_sea_water_velocity
14:12:29 INFO    opendrift.readers.basereader:176: Variable y_sea_water_velocity will be rotated from northward_sea_water_velocity
14:12:29 INFO    opendrift.readers.basereader:176: Variable x_wind will be rotated from eastward_wind
14:12:29 INFO    opendrift.readers.basereader:176: Variable y_wind will be rotated from northward_wind
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14:13:55 INFO    opendrift:2086: 2025-10-04 14:22:23.402601 - step 146 of 216 - 5069 active elements (0 deactivated)
14:13:55 INFO    opendrift:2086: 2025-10-04 14:32:23.402601 - step 147 of 216 - 5104 active elements (0 deactivated)
14:13:56 INFO    opendrift:2086: 2025-10-04 14:42:23.402601 - step 148 of 216 - 5139 active elements (0 deactivated)
14:13:56 INFO    opendrift:2086: 2025-10-04 14:52:23.402601 - step 149 of 216 - 5174 active elements (0 deactivated)
14:13:56 INFO    opendrift:2086: 2025-10-04 15:02:23.402601 - step 150 of 216 - 5208 active elements (0 deactivated)
14:13:59 INFO    opendrift:2086: 2025-10-04 15:12:23.402601 - step 151 of 216 - 5243 active elements (0 deactivated)
14:13:59 INFO    opendrift:2086: 2025-10-04 15:22:23.402601 - step 152 of 216 - 5278 active elements (0 deactivated)
14:14:00 INFO    opendrift:2086: 2025-10-04 15:32:23.402601 - step 153 of 216 - 5312 active elements (0 deactivated)
14:14:00 INFO    opendrift:2086: 2025-10-04 15:42:23.402601 - step 154 of 216 - 5347 active elements (0 deactivated)
14:14:00 INFO    opendrift:2086: 2025-10-04 15:52:23.402601 - step 155 of 216 - 5382 active elements (0 deactivated)
14:14:01 INFO    opendrift:2086: 2025-10-04 16:02:23.402601 - step 156 of 216 - 5417 active elements (0 deactivated)
14:14:03 INFO    opendrift:2086: 2025-10-04 16:12:23.402601 - step 157 of 216 - 5451 active elements (0 deactivated)
14:14:04 INFO    opendrift:2086: 2025-10-04 16:22:23.402601 - step 158 of 216 - 5486 active elements (0 deactivated)
14:14:05 INFO    opendrift:2086: 2025-10-04 16:32:23.402601 - step 159 of 216 - 5521 active elements (0 deactivated)
14:14:05 INFO    opendrift:2086: 2025-10-04 16:42:23.402601 - step 160 of 216 - 5556 active elements (0 deactivated)
14:14:05 INFO    opendrift:2086: 2025-10-04 16:52:23.402601 - step 161 of 216 - 5590 active elements (0 deactivated)
14:14:06 INFO    opendrift:2086: 2025-10-04 17:02:23.402601 - step 162 of 216 - 5625 active elements (0 deactivated)
14:14:09 INFO    opendrift:2086: 2025-10-04 17:12:23.402601 - step 163 of 216 - 5660 active elements (0 deactivated)
14:14:09 INFO    opendrift:2086: 2025-10-04 17:22:23.402601 - step 164 of 216 - 5694 active elements (0 deactivated)
14:14:10 INFO    opendrift:2086: 2025-10-04 17:32:23.402601 - step 165 of 216 - 5729 active elements (0 deactivated)
14:14:10 INFO    opendrift:2086: 2025-10-04 17:42:23.402601 - step 166 of 216 - 5764 active elements (0 deactivated)
14:14:11 INFO    opendrift:2086: 2025-10-04 17:52:23.402601 - step 167 of 216 - 5799 active elements (0 deactivated)
14:14:11 INFO    opendrift:2086: 2025-10-04 18:02:23.402601 - step 168 of 216 - 5833 active elements (0 deactivated)
14:14:14 INFO    opendrift:2086: 2025-10-04 18:12:23.402601 - step 169 of 216 - 5868 active elements (0 deactivated)
14:14:14 INFO    opendrift:2086: 2025-10-04 18:22:23.402601 - step 170 of 216 - 5903 active elements (0 deactivated)
14:14:15 INFO    opendrift:2086: 2025-10-04 18:32:23.402601 - step 171 of 216 - 5937 active elements (0 deactivated)
14:14:16 INFO    opendrift:2086: 2025-10-04 18:42:23.402601 - step 172 of 216 - 5972 active elements (0 deactivated)
14:14:16 INFO    opendrift:2086: 2025-10-04 18:52:23.402601 - step 173 of 216 - 6007 active elements (0 deactivated)
14:14:17 INFO    opendrift:2086: 2025-10-04 19:02:23.402601 - step 174 of 216 - 6042 active elements (0 deactivated)
14:14:19 INFO    opendrift:2086: 2025-10-04 19:12:23.402601 - step 175 of 216 - 6076 active elements (0 deactivated)
14:14:20 INFO    opendrift:2086: 2025-10-04 19:22:23.402601 - step 176 of 216 - 6111 active elements (0 deactivated)
14:14:20 INFO    opendrift:2086: 2025-10-04 19:32:23.402601 - step 177 of 216 - 6146 active elements (0 deactivated)
14:14:21 INFO    opendrift:2086: 2025-10-04 19:42:23.402601 - step 178 of 216 - 6180 active elements (0 deactivated)
14:14:21 INFO    opendrift:2086: 2025-10-04 19:52:23.402601 - step 179 of 216 - 6215 active elements (0 deactivated)
14:14:22 INFO    opendrift:2086: 2025-10-04 20:02:23.402601 - step 180 of 216 - 6250 active elements (0 deactivated)
14:14:24 INFO    opendrift:2086: 2025-10-04 20:12:23.402601 - step 181 of 216 - 6285 active elements (0 deactivated)
14:14:25 INFO    opendrift:2086: 2025-10-04 20:22:23.402601 - step 182 of 216 - 6319 active elements (0 deactivated)
14:14:26 INFO    opendrift:2086: 2025-10-04 20:32:23.402601 - step 183 of 216 - 6354 active elements (0 deactivated)
14:14:26 INFO    opendrift:2086: 2025-10-04 20:42:23.402601 - step 184 of 216 - 6389 active elements (0 deactivated)
14:14:27 INFO    opendrift:2086: 2025-10-04 20:52:23.402601 - step 185 of 216 - 6423 active elements (0 deactivated)
14:14:28 INFO    opendrift:2086: 2025-10-04 21:02:23.402601 - step 186 of 216 - 6458 active elements (0 deactivated)
14:14:30 INFO    opendrift:2086: 2025-10-04 21:12:23.402601 - step 187 of 216 - 6493 active elements (0 deactivated)
14:14:31 INFO    opendrift:2086: 2025-10-04 21:22:23.402601 - step 188 of 216 - 6528 active elements (0 deactivated)
14:14:31 INFO    opendrift:2086: 2025-10-04 21:32:23.402601 - step 189 of 216 - 6562 active elements (0 deactivated)
14:14:32 INFO    opendrift:2086: 2025-10-04 21:42:23.402601 - step 190 of 216 - 6597 active elements (0 deactivated)
14:14:33 INFO    opendrift:2086: 2025-10-04 21:52:23.402601 - step 191 of 216 - 6632 active elements (0 deactivated)
14:14:33 INFO    opendrift:2086: 2025-10-04 22:02:23.402601 - step 192 of 216 - 6667 active elements (0 deactivated)
14:14:36 INFO    opendrift:2086: 2025-10-04 22:12:23.402601 - step 193 of 216 - 6701 active elements (0 deactivated)
14:14:36 INFO    opendrift:2086: 2025-10-04 22:22:23.402601 - step 194 of 216 - 6736 active elements (0 deactivated)
14:14:37 INFO    opendrift:2086: 2025-10-04 22:32:23.402601 - step 195 of 216 - 6771 active elements (0 deactivated)
14:14:38 INFO    opendrift:2086: 2025-10-04 22:42:23.402601 - step 196 of 216 - 6805 active elements (0 deactivated)
14:14:38 INFO    opendrift:2086: 2025-10-04 22:52:23.402601 - step 197 of 216 - 6840 active elements (0 deactivated)
14:14:39 INFO    opendrift:2086: 2025-10-04 23:02:23.402601 - step 198 of 216 - 6875 active elements (0 deactivated)
14:14:41 INFO    opendrift:2086: 2025-10-04 23:12:23.402601 - step 199 of 216 - 6910 active elements (0 deactivated)
14:14:42 INFO    opendrift:2086: 2025-10-04 23:22:23.402601 - step 200 of 216 - 6944 active elements (0 deactivated)
14:14:43 INFO    opendrift:2086: 2025-10-04 23:32:23.402601 - step 201 of 216 - 6979 active elements (0 deactivated)
14:14:43 INFO    opendrift:2086: 2025-10-04 23:42:23.402601 - step 202 of 216 - 7014 active elements (0 deactivated)
14:14:44 INFO    opendrift:2086: 2025-10-04 23:52:23.402601 - step 203 of 216 - 7048 active elements (0 deactivated)
14:14:44 INFO    opendrift:2086: 2025-10-05 00:02:23.402601 - step 204 of 216 - 7083 active elements (0 deactivated)
14:14:47 INFO    opendrift:2086: 2025-10-05 00:12:23.402601 - step 205 of 216 - 7118 active elements (0 deactivated)
14:14:47 INFO    opendrift:2086: 2025-10-05 00:22:23.402601 - step 206 of 216 - 7153 active elements (0 deactivated)
14:14:48 INFO    opendrift:2086: 2025-10-05 00:32:23.402601 - step 207 of 216 - 7187 active elements (0 deactivated)
14:14:48 INFO    opendrift:2086: 2025-10-05 00:42:23.402601 - step 208 of 216 - 7222 active elements (0 deactivated)
14:14:49 INFO    opendrift:2086: 2025-10-05 00:52:23.402601 - step 209 of 216 - 7257 active elements (0 deactivated)
14:14:49 INFO    opendrift:2086: 2025-10-05 01:02:23.402601 - step 210 of 216 - 7291 active elements (0 deactivated)
14:14:52 INFO    opendrift:2086: 2025-10-05 01:12:23.402601 - step 211 of 216 - 7326 active elements (0 deactivated)
14:14:53 INFO    opendrift:2086: 2025-10-05 01:22:23.402601 - step 212 of 216 - 7361 active elements (0 deactivated)
14:14:53 INFO    opendrift:2086: 2025-10-05 01:32:23.402601 - step 213 of 216 - 7396 active elements (0 deactivated)
14:14:54 INFO    opendrift:2086: 2025-10-05 01:42:23.402601 - step 214 of 216 - 7430 active elements (0 deactivated)
14:14:54 INFO    opendrift:2086: 2025-10-05 01:52:23.402601 - step 215 of 216 - 7465 active elements (0 deactivated)
14:14:55 INFO    opendrift:2086: 2025-10-05 02:02:23.402601 - step 216 of 216 - 7500 active elements (0 deactivated)
14:14:58 INFO    opendrift:2195: 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]
    2025-10-03T14:12:23.402601 ... 2...

    standard_name :

    time

    long_name :

    time

    dtype :

    <class 'numpy.float64'>

    array(['2025-10-03T14:12:23.402601000', '2025-10-03T14:42:23.402601000',
           '2025-10-03T15:12:23.402601000', '2025-10-03T15:42:23.402601000',
           '2025-10-03T16:12:23.402601000', '2025-10-03T16:42:23.402601000',
           '2025-10-03T17:12:23.402601000', '2025-10-03T17:42:23.402601000',
           '2025-10-03T18:12:23.402601000', '2025-10-03T18:42:23.402601000',
           '2025-10-03T19:12:23.402601000', '2025-10-03T19:42:23.402601000',
           '2025-10-03T20:12:23.402601000', '2025-10-03T20:42:23.402601000',
           '2025-10-03T21:12:23.402601000', '2025-10-03T21:42:23.402601000',
           '2025-10-03T22:12:23.402601000', '2025-10-03T22:42:23.402601000',
           '2025-10-03T23:12:23.402601000', '2025-10-03T23:42:23.402601000',
           '2025-10-04T00:12:23.402601000', '2025-10-04T00:42:23.402601000',
           '2025-10-04T01:12:23.402601000', '2025-10-04T01:42:23.402601000',
           '2025-10-04T02:12:23.402601000', '2025-10-04T02:42:23.402601000',
           '2025-10-04T03:12:23.402601000', '2025-10-04T03:42:23.402601000',
           '2025-10-04T04:12:23.402601000', '2025-10-04T04:42:23.402601000',
           '2025-10-04T05:12:23.402601000', '2025-10-04T05:42:23.402601000',
           '2025-10-04T06:12:23.402601000', '2025-10-04T06:42:23.402601000',
           '2025-10-04T07:12:23.402601000', '2025-10-04T07:42:23.402601000',
           '2025-10-04T08:12:23.402601000', '2025-10-04T08:42:23.402601000',
           '2025-10-04T09:12:23.402601000', '2025-10-04T09:42:23.402601000',
           '2025-10-04T10:12:23.402601000', '2025-10-04T10:42:23.402601000',
           '2025-10-04T11:12:23.402601000', '2025-10-04T11:42:23.402601000',
           '2025-10-04T12:12:23.402601000', '2025-10-04T12:42:23.402601000',
           '2025-10-04T13:12:23.402601000', '2025-10-04T13:42:23.402601000',
           '2025-10-04T14:12:23.402601000', '2025-10-04T14:42:23.402601000',
           '2025-10-04T15:12:23.402601000', '2025-10-04T15:42:23.402601000',
           '2025-10-04T16:12:23.402601000', '2025-10-04T16:42:23.402601000',
           '2025-10-04T17:12:23.402601000', '2025-10-04T17:42:23.402601000',
           '2025-10-04T18:12:23.402601000', '2025-10-04T18:42:23.402601000',
           '2025-10-04T19:12:23.402601000', '2025-10-04T19:42:23.402601000',
           '2025-10-04T20:12:23.402601000', '2025-10-04T20:42:23.402601000',
           '2025-10-04T21:12:23.402601000', '2025-10-04T21:42:23.402601000',
           '2025-10-04T22:12:23.402601000', '2025-10-04T22:42:23.402601000',
           '2025-10-04T23:12:23.402601000', '2025-10-04T23:42:23.402601000',
           '2025-10-05T00:12:23.402601000', '2025-10-05T00:42:23.402601000',
           '2025-10-05T01:12:23.402601000', '2025-10-05T01:42:23.402601000',
           '2025-10-05T02:12:23.402601000'], 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 10.97 10.97 ... nan nan 10.96

    dtype :

    <class 'numpy.float32'>

    units :

    degrees_east

    standard_name :

    longitude

    long_name :

    longitude

    axis :

    X

    minval :

    10.895992

    maxval :

    11.008433

    array([[10.96292 , 10.972116, 10.970037, ..., 10.973377, 10.973377,
            10.973377],
           [10.96292 , 10.969894, 10.968926, ..., 10.931279, 10.931451,
            10.922509],
           [10.96292 , 10.969945, 10.973911, ..., 10.971338, 10.971338,
            10.971338],
           ...,
           [      nan,       nan,       nan, ...,       nan,       nan,
            10.963029],
           [      nan,       nan,       nan, ...,       nan,       nan,
            10.964255],
           [      nan,       nan,       nan, ...,       nan,       nan,
            10.964576]], shape=(7500, 73), dtype=float32)

  • lat
    (trajectory, time)
    float32
    59.17 59.17 59.18 ... nan nan 59.17

    dtype :

    <class 'numpy.float32'>

    units :

    degrees_north

    standard_name :

    latitude

    long_name :

    latitude

    axis :

    Y

    minval :

    59.1479

    maxval :

    59.22286

    array([[59.169193, 59.17209 , 59.1772  , ..., 59.18455 , 59.18455 ,
            59.18455 ],
           [59.169193, 59.174496, 59.175392, ..., 59.214073, 59.21448 ,
            59.214207],
           [59.169193, 59.171013, 59.17481 , ..., 59.18238 , 59.18238 ,
            59.18238 ],
           ...,
           [      nan,       nan,       nan, ...,       nan,       nan,
            59.16966 ],
           [      nan,       nan,       nan, ...,       nan,       nan,
            59.169617],
           [      nan,       nan,       nan, ...,       nan,       nan,
            59.169735]], 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
    0.5427 0.2603 ... nan 0.2826

    minval :

    -1.0300908

    maxval :

    1.0384557

    array([[ 0.5426583 ,  0.26033327, -0.40676978, ...,  0.06862719,
            -0.08368295,  0.00496477],
           [ 0.26987928,  0.10844824,  0.47166884, ...,  0.09692066,
            -0.19491434, -0.24870247],
           [ 0.38559544,  0.36379302,  0.04147816, ...,  0.14552724,
             0.00156451,  0.03099219],
           ...,
           [        nan,         nan,         nan, ...,         nan,
                    nan,  0.08216456],
           [        nan,         nan,         nan, ...,         nan,
                    nan,  0.17643912],
           [        nan,         nan,         nan, ...,         nan,
                    nan,  0.28258547]], shape=(7500, 73), dtype=float32)

  • y_sea_water_velocity
    (trajectory, time)
    float32
    -0.06646 0.0036 ... nan -0.04965

    minval :

    -0.9681652

    maxval :

    0.90543264

    array([[-0.06646455,  0.00359998,  0.28764614, ...,  0.09490958,
            -0.23400928,  0.01953391],
           [ 0.14832379,  0.09669883,  0.2501131 , ..., -0.35809556,
            -0.08638847, -0.60177016],
           [ 0.14274162,  0.09737132,  0.13645624, ...,  0.0363364 ,
             0.19116223,  0.03626652],
           ...,
           [        nan,         nan,         nan, ...,         nan,
                    nan, -0.05610207],
           [        nan,         nan,         nan, ...,         nan,
                    nan, -0.04064116],
           [        nan,         nan,         nan, ...,         nan,
                    nan, -0.04965063]], shape=(7500, 73), dtype=float32)

  • sea_surface_height
    (trajectory, time)
    float32
    0.01557 -0.01716 ... nan 0.3015

    minval :

    -0.4121269

    maxval :

    0.30360168

    array([[ 0.01557249, -0.01715855, -0.05957876, ...,  0.26997656,
             0.2902171 ,  0.30126956],
           [ 0.01557249, -0.01650174, -0.05955629, ...,  0.27226004,
             0.29226005,  0.30360168],
           [ 0.01557249, -0.01699978, -0.0604426 , ...,  0.27011546,
             0.28997624,  0.3017389 ],
           ...,
           [        nan,         nan,         nan, ...,         nan,
                    nan,  0.30147764],
           [        nan,         nan,         nan, ...,         nan,
                    nan,  0.30147764],
           [        nan,         nan,         nan, ...,         nan,
                    nan,  0.30147764]], shape=(7500, 73), dtype=float32)

  • upward_sea_water_velocity
    (trajectory, time)
    float32
    -1.657e-05 -2.413e-05 ... 7.976e-07

    minval :

    -0.000174107

    maxval :

    4.612191e-05

    array([[-1.6566544e-05, -2.4130013e-05, -3.3083808e-05, ...,
             5.5378423e-06,  9.3638328e-06,  5.4111629e-06],
           [-1.6566544e-05, -2.5811685e-05, -3.5795409e-05, ...,
             9.4594589e-07,  4.5394742e-07, -1.1157168e-06],
           [-1.6566544e-05, -2.4130013e-05, -3.2177981e-05, ...,
             6.9903472e-06,  6.5528234e-06,  3.7881616e-06],
           ...,
           [           nan,            nan,            nan, ...,
                       nan,            nan,  7.9760474e-07],
           [           nan,            nan,            nan, ...,
                       nan,            nan,  7.9760474e-07],
           [           nan,            nan,            nan, ...,
                       nan,            nan,  7.9760474e-07]],
          shape=(7500, 73), dtype=float32)

  • x_wind
    (trajectory, time)
    float32
    -0.7216 -4.932 ... nan -6.239

    minval :

    -16.95536

    maxval :

    3.8370068

    array([[-0.72162056, -4.931655  , -3.7393818 , ..., -2.0300498 ,
            -7.066946  , -5.6626167 ],
           [-1.9218359 , -4.5226307 , -7.550825  , ..., -4.3260684 ,
            -5.462343  , -5.536791  ],
           [ 0.09899966, -5.0457044 , -1.9518838 , ..., -4.305809  ,
            -5.153802  , -1.9983604 ],
           ...,
           [        nan,         nan,         nan, ...,         nan,
                    nan, -3.5908084 ],
           [        nan,         nan,         nan, ...,         nan,
                    nan, -2.4572139 ],
           [        nan,         nan,         nan, ...,         nan,
                    nan, -6.2392764 ]], shape=(7500, 73), dtype=float32)

  • y_wind
    (trajectory, time)
    float32
    13.49 9.158 8.375 ... nan nan 7.499

    minval :

    -5.706621

    maxval :

    18.856127

    array([[13.491343 ,  9.158236 ,  8.374792 , ...,  6.7918754,  7.536188 ,
             3.4106967],
           [ 8.776862 ,  7.2384233,  7.81708  , ...,  6.1687107,  5.2053833,
             3.8317206],
           [ 8.109191 ,  6.4163857, 10.705735 , ...,  5.9906383,  1.8109474,
             4.119434 ],
           ...,
           [       nan,        nan,        nan, ...,        nan,        nan,
             7.122364 ],
           [       nan,        nan,        nan, ...,        nan,        nan,
             5.961014 ],
           [       nan,        nan,        nan, ...,        nan,        nan,
             7.4990945]], 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
    11.54 8.888 7.837 ... nan nan 8.336

    minval :

    0.054951508

    maxval :

    19.204437

    array([[11.544435 ,  8.887911 ,  7.83695  , ...,  6.057146 ,  8.827796 ,
             5.6484375],
           [ 7.6772537,  7.293043 ,  9.286712 , ...,  6.4379616,  6.4473305,
             5.7534585],
           [ 6.9295816,  6.974759 ,  9.298533 , ...,  6.30387  ,  4.667725 ,
             3.9122422],
           ...,
           [       nan,        nan,        nan, ...,        nan,        nan,
             6.8155465],
           [       nan,        nan,        nan, ...,        nan,        nan,
             5.509287 ],
           [       nan,        nan,        nan, ...,        nan,        nan,
             8.335578 ]], 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
    0.0004802 0.0001856 ... 0.002464

    minval :

    1e-06

    maxval :

    0.0047087558

    array([[4.8021003e-04, 1.8564619e-04, 1.0000000e-06, ..., 2.1808736e-03,
            2.3248829e-03, 2.1974389e-03],
           [4.8021003e-04, 1.7461726e-04, 1.0000000e-06, ..., 2.5265112e-03,
            2.6249336e-03, 2.6869948e-03],
           [4.8021003e-04, 1.9018912e-04, 1.0000000e-06, ..., 2.2626205e-03,
            2.2009625e-03, 2.2373742e-03],
           ...,
           [          nan,           nan,           nan, ...,           nan,
                      nan, 2.4644251e-03],
           [          nan,           nan,           nan, ...,           nan,
                      nan, 2.4644251e-03],
           [          nan,           nan,           nan, ...,           nan,
                      nan, 2.4644251e-03]], 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 14.19 14.31 ... nan nan 14.0

    minval :

    9.999999

    maxval :

    14.787869

    array([[14.000173, 14.192927, 14.312838, ..., 10.120184, 10.162829,
            10.85776 ],
           [14.000173, 14.281803, 14.319256, ..., 10.      , 10.      ,
             9.999999],
           [14.000173, 14.251972, 14.1689  , ..., 10.928251, 10.778121,
            11.494691],
           ...,
           [      nan,       nan,       nan, ...,       nan,       nan,
            14.000063],
           [      nan,       nan,       nan, ...,       nan,       nan,
            14.000063],
           [      nan,       nan,       nan, ...,       nan,       nan,
            14.000063]], shape=(7500, 73), dtype=float32)

• Indexes: (2)
  • trajectory
    PandasIndex

    PandasIndex(Index([   0,    1,    2,    3,    4,    5,    6,    7,    8,    9,
           ...
           7490, 7491, 7492, 7493, 7494, 7495, 7496, 7497, 7498, 7499],
          dtype='int64', name='trajectory', length=7500))

  • time
    PandasIndex

    PandasIndex(DatetimeIndex(['2025-10-03 14:12:23.402601', '2025-10-03 14:42:23.402601',
                   '2025-10-03 15:12:23.402601', '2025-10-03 15:42:23.402601',
                   '2025-10-03 16:12:23.402601', '2025-10-03 16:42:23.402601',
                   '2025-10-03 17:12:23.402601', '2025-10-03 17:42:23.402601',
                   '2025-10-03 18:12:23.402601', '2025-10-03 18:42:23.402601',
                   '2025-10-03 19:12:23.402601', '2025-10-03 19:42:23.402601',
                   '2025-10-03 20:12:23.402601', '2025-10-03 20:42:23.402601',
                   '2025-10-03 21:12:23.402601', '2025-10-03 21:42:23.402601',
                   '2025-10-03 22:12:23.402601', '2025-10-03 22:42:23.402601',
                   '2025-10-03 23:12:23.402601', '2025-10-03 23:42:23.402601',
                   '2025-10-04 00:12:23.402601', '2025-10-04 00:42:23.402601',
                   '2025-10-04 01:12:23.402601', '2025-10-04 01:42:23.402601',
                   '2025-10-04 02:12:23.402601', '2025-10-04 02:42:23.402601',
                   '2025-10-04 03:12:23.402601', '2025-10-04 03:42:23.402601',
                   '2025-10-04 04:12:23.402601', '2025-10-04 04:42:23.402601',
                   '2025-10-04 05:12:23.402601', '2025-10-04 05:42:23.402601',
                   '2025-10-04 06:12:23.402601', '2025-10-04 06:42:23.402601',
                   '2025-10-04 07:12:23.402601', '2025-10-04 07:42:23.402601',
                   '2025-10-04 08:12:23.402601', '2025-10-04 08:42:23.402601',
                   '2025-10-04 09:12:23.402601', '2025-10-04 09:42:23.402601',
                   '2025-10-04 10:12:23.402601', '2025-10-04 10:42:23.402601',
                   '2025-10-04 11:12:23.402601', '2025-10-04 11:42:23.402601',
                   '2025-10-04 12:12:23.402601', '2025-10-04 12:42:23.402601',
                   '2025-10-04 13:12:23.402601', '2025-10-04 13:42:23.402601',
                   '2025-10-04 14:12:23.402601', '2025-10-04 14:42:23.402601',
                   '2025-10-04 15:12:23.402601', '2025-10-04 15:42:23.402601',
                   '2025-10-04 16:12:23.402601', '2025-10-04 16:42:23.402601',
                   '2025-10-04 17:12:23.402601', '2025-10-04 17:42:23.402601',
                   '2025-10-04 18:12:23.402601', '2025-10-04 18:42:23.402601',
                   '2025-10-04 19:12:23.402601', '2025-10-04 19:42:23.402601',
                   '2025-10-04 20:12:23.402601', '2025-10-04 20:42:23.402601',
                   '2025-10-04 21:12:23.402601', '2025-10-04 21:42:23.402601',
                   '2025-10-04 22:12:23.402601', '2025-10-04 22:42:23.402601',
                   '2025-10-04 23:12:23.402601', '2025-10-04 23:42:23.402601',
                   '2025-10-05 00:12:23.402601', '2025-10-05 00:42:23.402601',
                   '2025-10-05 01:12:23.402601', '2025-10-05 01:42:23.402601',
                   '2025-10-05 02:12:23.402601'],
                  dtype='datetime64[ns]', name='time', freq='30min'))

• 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 2025-10-03 14:12:27.935888

  date_created :

  2025-10-03T14:12:27.935907

  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 :

  2025-10-03 14:12:23.402601

  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 :

  1.14.3

  seed_geojson :

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

  simulation_time :

  2025-10-03 14:12:27.946290

  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 :

  2025-10-05 02:12:23.402601

  time_coverage_duration :

  P1DT12H0M0S

  time_coverage_resolution :

  P0DT0H10M0S

  performance :

  -------------------- Reader performance: -------------------- global_landmask 0:00:06.2 total 0:00:00.0 preparing 0:00:06.2 reading 0:00:00.0 masking -------------------- https://thredds.met.no/thredds/dodsC/fou-hi/norkystv3_800m_m00_be 0:01:22.5 total 0:00:00.0 preparing 0:01:19.0 reading 0:00:12.2 interpolation 0:00:00.3 interpolation_time 0:00:03.4 rotating vectors 0:00:00.0 masking -------------------- Performance: 2:35.1 total time 4.5 configuration 0.0 preparing main loop 0.0 moving elements to ocean 2:30.0 main loop 5.7 updating elements 4.5 vertical mixing 0.4 cleaning up --------------------

  geospatial_bounds_crs :

  EPSG:4326

  geospatial_bounds_vertical_crs :

  EPSG:5831

  geospatial_lat_min :

  59.1479

  geospatial_lat_max :

  59.22286

  geospatial_lat_units :

  degrees_north

  geospatial_lat_resolution :

  point

  geospatial_lon_min :

  10.895992

  geospatial_lon_max :

  11.008433

  geospatial_lon_units :

  degrees_east

  geospatial_lon_resolution :

  point

  runtime :

  0:02:35.123997

  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'])

14:15:12 INFO    opendrift:4613: Saving animation to /root/project/docs/source/gallery/animations/example_sediments_0.gif...
14:16:10 INFO    opendrift:3054: Time to make animation: 0:01:07.773918