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'])

08:57:21 INFO    opendrift:513: OpenDriftSimulation initialised (version 1.14.2 / v1.14.2-108-gbbc988b)

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))

08:57:21 INFO    opendrift.models.basemodel.environment:206: Adding a global landmask from GSHHG
08:57:25 INFO    opendrift.models.basemodel.environment:229: Fallback values will be used for the following variables which have no readers:
08:57:25 INFO    opendrift.models.basemodel.environment:232:    x_sea_water_velocity: 0.000000
08:57:25 INFO    opendrift.models.basemodel.environment:232:    y_sea_water_velocity: 0.000000
08:57:25 INFO    opendrift.models.basemodel.environment:232:    sea_surface_height: 0.000000
08:57:25 INFO    opendrift.models.basemodel.environment:232:    upward_sea_water_velocity: 0.000000
08:57:25 INFO    opendrift.models.basemodel.environment:232:    x_wind: 0.000000
08:57:25 INFO    opendrift.models.basemodel.environment:232:    y_wind: 0.000000
08:57:25 INFO    opendrift.models.basemodel.environment:232:    sea_surface_wave_stokes_drift_x_velocity: 0.000000
08:57:25 INFO    opendrift.models.basemodel.environment:232:    sea_surface_wave_stokes_drift_y_velocity: 0.000000
08:57:25 INFO    opendrift.models.basemodel.environment:232:    sea_surface_wave_period_at_variance_spectral_density_maximum: 0.000000
08:57:25 INFO    opendrift.models.basemodel.environment:232:    sea_surface_wave_mean_period_from_variance_spectral_density_second_frequency_moment: 0.000000
08:57:25 INFO    opendrift.models.basemodel.environment:232:    ocean_vertical_diffusivity: 0.020000
08:57:25 INFO    opendrift.models.basemodel.environment:232:    ocean_mixed_layer_thickness: 50.000000
08:57:25 INFO    opendrift.models.basemodel.environment:232:    sea_floor_depth_below_sea_level: 10000.000000
08:57:25 INFO    opendrift:1744: Storing previous values of element property lon because of condition (('general:coastline_action', 'in', ['stranding', 'previous']), 'or', ('general:seafloor_action', 'in', ['previous']))
08:57:25 INFO    opendrift:1744: Storing previous values of element property lat because of condition (('general:coastline_action', 'in', ['stranding', 'previous']), 'or', ('general:seafloor_action', 'in', ['previous']))
08:57:25 INFO    opendrift:899: Using existing reader for land_binary_mask to move elements to ocean
08:57:25 INFO    opendrift:929: All points are in ocean
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08:57:25 INFO    opendrift.readers:61: Opening file with xr.open_dataset
08:57:26 INFO    opendrift.readers.reader_netCDF_CF_generic:332: Detected dimensions: {'x': 'X', 'y': 'Y', 'z': 'depth', 'time': 'time'}
08:57:26 INFO    opendrift.readers.basereader:176: Variable x_sea_water_velocity will be rotated from eastward_sea_water_velocity
08:57:26 INFO    opendrift.readers.basereader:176: Variable y_sea_water_velocity will be rotated from northward_sea_water_velocity
08:57:26 INFO    opendrift.readers.basereader:176: Variable x_wind will be rotated from eastward_wind
08:57:26 INFO    opendrift.readers.basereader:176: Variable y_wind will be rotated from northward_wind
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08:58:16 INFO    opendrift:2036: 2025-08-14 09:47:21.365393 - step 150 of 216 - 5208 active elements (0 deactivated)
08:58:16 INFO    opendrift:2036: 2025-08-14 09:57:21.365393 - step 151 of 216 - 5243 active elements (0 deactivated)
08:58:16 INFO    opendrift:2036: 2025-08-14 10:07:21.365393 - step 152 of 216 - 5278 active elements (0 deactivated)
08:58:18 INFO    opendrift:2036: 2025-08-14 10:17:21.365393 - step 153 of 216 - 5312 active elements (0 deactivated)
08:58:18 INFO    opendrift:2036: 2025-08-14 10:27:21.365393 - step 154 of 216 - 5347 active elements (0 deactivated)
08:58:18 INFO    opendrift:2036: 2025-08-14 10:37:21.365393 - step 155 of 216 - 5382 active elements (0 deactivated)
08:58:18 INFO    opendrift:2036: 2025-08-14 10:47:21.365393 - step 156 of 216 - 5417 active elements (0 deactivated)
08:58:18 INFO    opendrift:2036: 2025-08-14 10:57:21.365393 - step 157 of 216 - 5451 active elements (0 deactivated)
08:58:18 INFO    opendrift:2036: 2025-08-14 11:07:21.365393 - step 158 of 216 - 5486 active elements (0 deactivated)
08:58:20 INFO    opendrift:2036: 2025-08-14 11:17:21.365393 - step 159 of 216 - 5521 active elements (0 deactivated)
08:58:20 INFO    opendrift:2036: 2025-08-14 11:27:21.365393 - step 160 of 216 - 5556 active elements (0 deactivated)
08:58:20 INFO    opendrift:2036: 2025-08-14 11:37:21.365393 - step 161 of 216 - 5590 active elements (0 deactivated)
08:58:21 INFO    opendrift:2036: 2025-08-14 11:47:21.365393 - step 162 of 216 - 5625 active elements (0 deactivated)
08:58:21 INFO    opendrift:2036: 2025-08-14 11:57:21.365393 - step 163 of 216 - 5660 active elements (0 deactivated)
08:58:21 INFO    opendrift:2036: 2025-08-14 12:07:21.365393 - step 164 of 216 - 5694 active elements (0 deactivated)
08:58:22 INFO    opendrift:2036: 2025-08-14 12:17:21.365393 - step 165 of 216 - 5729 active elements (0 deactivated)
08:58:23 INFO    opendrift:2036: 2025-08-14 12:27:21.365393 - step 166 of 216 - 5764 active elements (0 deactivated)
08:58:23 INFO    opendrift:2036: 2025-08-14 12:37:21.365393 - step 167 of 216 - 5799 active elements (0 deactivated)
08:58:23 INFO    opendrift:2036: 2025-08-14 12:47:21.365393 - step 168 of 216 - 5833 active elements (0 deactivated)
08:58:23 INFO    opendrift:2036: 2025-08-14 12:57:21.365393 - step 169 of 216 - 5868 active elements (0 deactivated)
08:58:23 INFO    opendrift:2036: 2025-08-14 13:07:21.365393 - step 170 of 216 - 5903 active elements (0 deactivated)
08:58:25 INFO    opendrift:2036: 2025-08-14 13:17:21.365393 - step 171 of 216 - 5937 active elements (0 deactivated)
08:58:25 INFO    opendrift:2036: 2025-08-14 13:27:21.365393 - step 172 of 216 - 5972 active elements (0 deactivated)
08:58:25 INFO    opendrift:2036: 2025-08-14 13:37:21.365393 - step 173 of 216 - 6007 active elements (0 deactivated)
08:58:25 INFO    opendrift:2036: 2025-08-14 13:47:21.365393 - step 174 of 216 - 6042 active elements (0 deactivated)
08:58:25 INFO    opendrift:2036: 2025-08-14 13:57:21.365393 - step 175 of 216 - 6076 active elements (0 deactivated)
08:58:26 INFO    opendrift:2036: 2025-08-14 14:07:21.365393 - step 176 of 216 - 6111 active elements (0 deactivated)
08:58:27 INFO    opendrift:2036: 2025-08-14 14:17:21.365393 - step 177 of 216 - 6146 active elements (0 deactivated)
08:58:27 INFO    opendrift:2036: 2025-08-14 14:27:21.365393 - step 178 of 216 - 6180 active elements (0 deactivated)
08:58:28 INFO    opendrift:2036: 2025-08-14 14:37:21.365393 - step 179 of 216 - 6215 active elements (0 deactivated)
08:58:28 INFO    opendrift:2036: 2025-08-14 14:47:21.365393 - step 180 of 216 - 6250 active elements (0 deactivated)
08:58:28 INFO    opendrift:2036: 2025-08-14 14:57:21.365393 - step 181 of 216 - 6285 active elements (0 deactivated)
08:58:28 INFO    opendrift:2036: 2025-08-14 15:07:21.365393 - step 182 of 216 - 6319 active elements (0 deactivated)
08:58:30 INFO    opendrift:2036: 2025-08-14 15:17:21.365393 - step 183 of 216 - 6354 active elements (0 deactivated)
08:58:30 INFO    opendrift:2036: 2025-08-14 15:27:21.365393 - step 184 of 216 - 6389 active elements (0 deactivated)
08:58:30 INFO    opendrift:2036: 2025-08-14 15:37:21.365393 - step 185 of 216 - 6423 active elements (0 deactivated)
08:58:30 INFO    opendrift:2036: 2025-08-14 15:47:21.365393 - step 186 of 216 - 6458 active elements (0 deactivated)
08:58:30 INFO    opendrift:2036: 2025-08-14 15:57:21.365393 - step 187 of 216 - 6493 active elements (0 deactivated)
08:58:31 INFO    opendrift:2036: 2025-08-14 16:07:21.365393 - step 188 of 216 - 6528 active elements (0 deactivated)
08:58:32 INFO    opendrift:2036: 2025-08-14 16:17:21.365393 - step 189 of 216 - 6562 active elements (0 deactivated)
08:58:32 INFO    opendrift:2036: 2025-08-14 16:27:21.365393 - step 190 of 216 - 6597 active elements (0 deactivated)
08:58:33 INFO    opendrift:2036: 2025-08-14 16:37:21.365393 - step 191 of 216 - 6632 active elements (0 deactivated)
08:58:33 INFO    opendrift:2036: 2025-08-14 16:47:21.365393 - step 192 of 216 - 6667 active elements (0 deactivated)
08:58:33 INFO    opendrift:2036: 2025-08-14 16:57:21.365393 - step 193 of 216 - 6701 active elements (0 deactivated)
08:58:33 INFO    opendrift:2036: 2025-08-14 17:07:21.365393 - step 194 of 216 - 6736 active elements (0 deactivated)
08:58:35 INFO    opendrift:2036: 2025-08-14 17:17:21.365393 - step 195 of 216 - 6771 active elements (0 deactivated)
08:58:35 INFO    opendrift:2036: 2025-08-14 17:27:21.365393 - step 196 of 216 - 6805 active elements (0 deactivated)
08:58:35 INFO    opendrift:2036: 2025-08-14 17:37:21.365393 - step 197 of 216 - 6840 active elements (0 deactivated)
08:58:36 INFO    opendrift:2036: 2025-08-14 17:47:21.365393 - step 198 of 216 - 6875 active elements (0 deactivated)
08:58:36 INFO    opendrift:2036: 2025-08-14 17:57:21.365393 - step 199 of 216 - 6910 active elements (0 deactivated)
08:58:36 INFO    opendrift:2036: 2025-08-14 18:07:21.365393 - step 200 of 216 - 6944 active elements (0 deactivated)
08:58:38 INFO    opendrift:2036: 2025-08-14 18:17:21.365393 - step 201 of 216 - 6979 active elements (0 deactivated)
08:58:38 INFO    opendrift:2036: 2025-08-14 18:27:21.365393 - step 202 of 216 - 7014 active elements (0 deactivated)
08:58:38 INFO    opendrift:2036: 2025-08-14 18:37:21.365393 - step 203 of 216 - 7048 active elements (0 deactivated)
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08:58:39 INFO    opendrift:2036: 2025-08-14 18:57:21.365393 - step 205 of 216 - 7118 active elements (0 deactivated)
08:58:39 INFO    opendrift:2036: 2025-08-14 19:07:21.365393 - step 206 of 216 - 7153 active elements (0 deactivated)
08:58:40 INFO    opendrift:2036: 2025-08-14 19:17:21.365393 - step 207 of 216 - 7187 active elements (0 deactivated)
08:58:41 INFO    opendrift:2036: 2025-08-14 19:27:21.365393 - step 208 of 216 - 7222 active elements (0 deactivated)
08:58:41 INFO    opendrift:2036: 2025-08-14 19:37:21.365393 - step 209 of 216 - 7257 active elements (0 deactivated)
08:58:41 INFO    opendrift:2036: 2025-08-14 19:47:21.365393 - step 210 of 216 - 7291 active elements (0 deactivated)
08:58:41 INFO    opendrift:2036: 2025-08-14 19:57:21.365393 - step 211 of 216 - 7326 active elements (0 deactivated)
08:58:41 INFO    opendrift:2036: 2025-08-14 20:07:21.365393 - step 212 of 216 - 7361 active elements (0 deactivated)
08:58:45 INFO    opendrift:2036: 2025-08-14 20:17:21.365393 - step 213 of 216 - 7396 active elements (0 deactivated)
08:58:45 INFO    opendrift:2036: 2025-08-14 20:27:21.365393 - step 214 of 216 - 7430 active elements (0 deactivated)
08:58:45 INFO    opendrift:2036: 2025-08-14 20:37:21.365393 - step 215 of 216 - 7465 active elements (0 deactivated)
08:58:45 INFO    opendrift:2036: 2025-08-14 20:47:21.365393 - step 216 of 216 - 7500 active elements (0 deactivated)
08:58:45 INFO    opendrift:2143: 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]
    2025-08-13T08:57:21.365393 ... 2...

    standard_name :

    time

    long_name :

    time

    dtype :

    <class 'numpy.float64'>

    array(['2025-08-13T08:57:21.365393000', '2025-08-13T09:27:21.365393000',
           '2025-08-13T09:57:21.365393000', '2025-08-13T10:27:21.365393000',
           '2025-08-13T10:57:21.365393000', '2025-08-13T11:27:21.365393000',
           '2025-08-13T11:57:21.365393000', '2025-08-13T12:27:21.365393000',
           '2025-08-13T12:57:21.365393000', '2025-08-13T13:27:21.365393000',
           '2025-08-13T13:57:21.365393000', '2025-08-13T14:27:21.365393000',
           '2025-08-13T14:57:21.365393000', '2025-08-13T15:27:21.365393000',
           '2025-08-13T15:57:21.365393000', '2025-08-13T16:27:21.365393000',
           '2025-08-13T16:57:21.365393000', '2025-08-13T17:27:21.365393000',
           '2025-08-13T17:57:21.365393000', '2025-08-13T18:27:21.365393000',
           '2025-08-13T18:57:21.365393000', '2025-08-13T19:27:21.365393000',
           '2025-08-13T19:57:21.365393000', '2025-08-13T20:27:21.365393000',
           '2025-08-13T20:57:21.365393000', '2025-08-13T21:27:21.365393000',
           '2025-08-13T21:57:21.365393000', '2025-08-13T22:27:21.365393000',
           '2025-08-13T22:57:21.365393000', '2025-08-13T23:27:21.365393000',
           '2025-08-13T23:57:21.365393000', '2025-08-14T00:27:21.365393000',
           '2025-08-14T00:57:21.365393000', '2025-08-14T01:27:21.365393000',
           '2025-08-14T01:57:21.365393000', '2025-08-14T02:27:21.365393000',
           '2025-08-14T02:57:21.365393000', '2025-08-14T03:27:21.365393000',
           '2025-08-14T03:57:21.365393000', '2025-08-14T04:27:21.365393000',
           '2025-08-14T04:57:21.365393000', '2025-08-14T05:27:21.365393000',
           '2025-08-14T05:57:21.365393000', '2025-08-14T06:27:21.365393000',
           '2025-08-14T06:57:21.365393000', '2025-08-14T07:27:21.365393000',
           '2025-08-14T07:57:21.365393000', '2025-08-14T08:27:21.365393000',
           '2025-08-14T08:57:21.365393000', '2025-08-14T09:27:21.365393000',
           '2025-08-14T09:57:21.365393000', '2025-08-14T10:27:21.365393000',
           '2025-08-14T10:57:21.365393000', '2025-08-14T11:27:21.365393000',
           '2025-08-14T11:57:21.365393000', '2025-08-14T12:27:21.365393000',
           '2025-08-14T12:57:21.365393000', '2025-08-14T13:27:21.365393000',
           '2025-08-14T13:57:21.365393000', '2025-08-14T14:27:21.365393000',
           '2025-08-14T14:57:21.365393000', '2025-08-14T15:27:21.365393000',
           '2025-08-14T15:57:21.365393000', '2025-08-14T16:27:21.365393000',
           '2025-08-14T16:57:21.365393000', '2025-08-14T17:27:21.365393000',
           '2025-08-14T17:57:21.365393000', '2025-08-14T18:27:21.365393000',
           '2025-08-14T18:57:21.365393000', '2025-08-14T19:27:21.365393000',
           '2025-08-14T19:57:21.365393000', '2025-08-14T20:27:21.365393000',
           '2025-08-14T20:57:21.365393000'], 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 10.98 ... nan nan 10.97

    dtype :

    <class 'numpy.float32'>

    units :

    degrees_east

    standard_name :

    longitude

    long_name :

    longitude

    axis :

    X

    minval :

    10.713768

    maxval :

    11.201975

    array([[10.96292 , 10.974006, 10.975571, ..., 10.937003, 10.928756,
            10.926928],
           [10.96292 , 10.975337, 10.975337, ..., 10.990968, 10.990591,
            10.986943],
           [10.96292 , 10.975261, 10.975261, ..., 11.143712, 11.146201,
            11.144012],
           ...,
           [      nan,       nan,       nan, ...,       nan,       nan,
            10.966525],
           [      nan,       nan,       nan, ...,       nan,       nan,
            10.967752],
           [      nan,       nan,       nan, ...,       nan,       nan,
            10.968072]], shape=(7500, 73), dtype=float32)

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

    dtype :

    <class 'numpy.float32'>

    units :

    degrees_north

    standard_name :

    latitude

    long_name :

    latitude

    axis :

    Y

    minval :

    58.96468

    maxval :

    59.19064

    array([[59.169193, 59.16713 , 59.16769 , ..., 59.10744 , 59.10871 ,
            59.10915 ],
           [59.169193, 59.16789 , 59.16789 , ..., 59.187153, 59.185413,
            59.181335],
           [59.169193, 59.16566 , 59.16566 , ..., 59.090076, 59.09228 ,
            59.09415 ],
           ...,
           [      nan,       nan,       nan, ...,       nan,       nan,
            59.168056],
           [      nan,       nan,       nan, ...,       nan,       nan,
            59.168015],
           [      nan,       nan,       nan, ...,       nan,       nan,
            59.16813 ]], 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
    0.7905 0.662 0.1684 ... nan 0.5133

    minval :

    -1.1198004

    maxval :

    1.2556285

    array([[ 0.79050285,  0.66202694,  0.16840649, ...,  0.03080725,
            -0.06081666,  0.00369253],
           [ 0.5177238 ,  0.48783663,  0.8579866 , ...,  0.17794433,
            -0.10901874, -0.1633032 ],
           [ 0.63343996,  0.6457975 ,  0.47373864, ...,  0.24100584,
             0.08335926,  0.11069202],
           ...,
           [        nan,         nan,         nan, ...,         nan,
                    nan,  0.31284437],
           [        nan,         nan,         nan, ...,         nan,
                    nan,  0.40711895],
           [        nan,         nan,         nan, ...,         nan,
                    nan,  0.5132653 ]], shape=(7500, 73), dtype=float32)

  • y_sea_water_velocity
    (trajectory, time)
    float32
    -0.3394 -0.4228 ... nan -0.2933

    minval :

    -1.4088026

    maxval :

    0.96607125

    array([[-0.3394499 , -0.42282498, -0.20120777, ...,  0.01268379,
            -0.21031465,  0.07382726],
           [-0.12466156, -0.25790155, -0.18515864, ..., -0.36012417,
            -0.09071204, -0.6135638 ],
           [-0.13024373, -0.28079602, -0.3487665 , ..., -0.10532159,
             0.08816857, -0.02712048],
           ...,
           [        nan,         nan,         nan, ...,         nan,
                    nan, -0.29974446],
           [        nan,         nan,         nan, ...,         nan,
                    nan, -0.28428355],
           [        nan,         nan,         nan, ...,         nan,
                    nan, -0.29329303]], shape=(7500, 73), dtype=float32)

  • sea_surface_height
    (trajectory, time)
    float32
    -0.05565 -0.114 ... nan 0.04393

    minval :

    -0.3937676

    maxval :

    0.05378922

    array([[-0.05565423, -0.11399153, -0.16789575, ...,  0.0396543 ,
             0.03685239,  0.03360849],
           [-0.05565423, -0.11328444, -0.17004204, ...,  0.04631203,
             0.04261691,  0.03795025],
           [-0.05565423, -0.11376034, -0.17000009, ...,  0.03308206,
             0.03168219,  0.0292137 ],
           ...,
           [        nan,         nan,         nan, ...,         nan,
                    nan,  0.04393075],
           [        nan,         nan,         nan, ...,         nan,
                    nan,  0.04393075],
           [        nan,         nan,         nan, ...,         nan,
                    nan,  0.04393075]], shape=(7500, 73), dtype=float32)

  • upward_sea_water_velocity
    (trajectory, time)
    float32
    -2.772e-05 -2.448e-05 ... 2.107e-06

    minval :

    -9.764273e-05

    maxval :

    3.973742e-05

    array([[-2.7722048e-05, -2.4479954e-05, -2.9559347e-05, ...,
             4.0969358e-06, -3.3568572e-06, -7.4132840e-06],
           [-2.7722048e-05, -2.4559347e-05, -2.8951850e-05, ...,
             1.0440652e-05,  8.8130332e-07, -5.7853631e-06],
           [-2.7722048e-05, -2.4407131e-05, -2.8968045e-05, ...,
             1.0440652e-05,  1.8307151e-07, -6.3666876e-06],
           ...,
           [           nan,            nan,            nan, ...,
                       nan,            nan,  2.1073183e-06],
           [           nan,            nan,            nan, ...,
                       nan,            nan,  2.1073183e-06],
           [           nan,            nan,            nan, ...,
                       nan,            nan,  2.1073183e-06]],
          shape=(7500, 73), dtype=float32)

  • x_wind
    (trajectory, time)
    float32
    1.658 -1.531 0.406 ... nan -1.107

    minval :

    -12.497358

    maxval :

    10.403107

    array([[ 1.6582317 , -1.5311079 ,  0.40598854, ..., -0.00641912,
            -3.6549351 , -1.4484305 ],
           [ 0.45801643, -1.2226161 , -3.3220468 , ..., -2.480808  ,
            -1.9625939 , -0.9026972 ],
           [ 2.478852  , -1.6399794 ,  2.3073175 , ..., -3.1565335 ,
            -2.781272  ,  1.2599819 ],
           ...,
           [        nan,         nan,         nan, ...,         nan,
                    nan,  1.5414991 ],
           [        nan,         nan,         nan, ...,         nan,
                    nan,  2.6750937 ],
           [        nan,         nan,         nan, ...,         nan,
                    nan, -1.1069688 ]], shape=(7500, 73), dtype=float32)

  • y_wind
    (trajectory, time)
    float32
    7.413 3.531 3.287 ... nan nan 4.795

    minval :

    -9.516168

    maxval :

    15.053169

    array([[ 7.4129257 ,  3.5310445 ,  3.287333  , ...,  3.459539  ,
             5.108268  ,  1.6633326 ],
           [ 2.6984456 ,  1.7961925 ,  2.708237  , ...,  2.1000285 ,
             2.1972299 ,  1.4465367 ],
           [ 2.0307739 ,  0.6558288 ,  5.5215034 , ...,  2.4665875 ,
            -0.02502395,  3.318768  ],
           ...,
           [        nan,         nan,         nan, ...,         nan,
                    nan,  4.418574  ],
           [        nan,         nan,         nan, ...,         nan,
                    nan,  3.2572236 ],
           [        nan,         nan,         nan, ...,         nan,
                    nan,  4.7953043 ]], 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
    6.491 3.289 2.83 ... nan nan 4.205

    minval :

    0.008919529

    maxval :

    12.885735

    array([[6.490671 , 3.2886093, 2.83027  , ..., 2.9560797, 5.3670654,
            1.8846116],
           [2.3387203, 1.8566014, 3.6623354, ..., 2.777296 , 2.5173686,
            1.4569489],
           [2.7381415, 1.5092098, 5.1133275, ..., 3.4229798, 2.3766112,
            3.0332835],
           ...,
           [      nan,       nan,       nan, ...,       nan,       nan,
            3.9987047],
           [      nan,       nan,       nan, ...,       nan,       nan,
            3.6015334],
           [      nan,       nan,       nan, ...,       nan,       nan,
            4.2052045]], 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
    7.037e-06 1e-06 ... nan 0.0003309

    minval :

    1e-06

    maxval :

    0.000670509

    array([[7.03656315e-06, 9.99999997e-07, 9.99999997e-07, ...,
            1.31469860e-04, 1.12746551e-04, 9.33626943e-05],
           [7.03656315e-06, 9.99999997e-07, 9.99999997e-07, ...,
            1.04375606e-04, 8.02348659e-05, 5.92206743e-05],
           [7.03656315e-06, 9.99999997e-07, 9.99999997e-07, ...,
            2.33247847e-04, 2.15416716e-04, 1.97647940e-04],
           ...,
           [           nan,            nan,            nan, ...,
                       nan,            nan, 3.30907496e-04],
           [           nan,            nan,            nan, ...,
                       nan,            nan, 3.30907496e-04],
           [           nan,            nan,            nan, ...,
                       nan,            nan, 3.30907496e-04]],
          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 13.76 14.02 ... nan nan 14.0

    minval :

    10.0

    maxval :

    131.42755

    array([[14.000172, 13.760386, 14.017873, ..., 12.374625, 11.973395,
            11.794146],
           [14.000172, 13.838853, 13.860849, ..., 10.436799, 11.290137,
            11.970195],
           [14.000172, 13.88533 , 13.87535 , ..., 37.476307, 37.088783,
            36.041336],
           ...,
           [      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)

• 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(['2025-08-13 08:57:21.365393', '2025-08-13 09:27:21.365393',
                   '2025-08-13 09:57:21.365393', '2025-08-13 10:27:21.365393',
                   '2025-08-13 10:57:21.365393', '2025-08-13 11:27:21.365393',
                   '2025-08-13 11:57:21.365393', '2025-08-13 12:27:21.365393',
                   '2025-08-13 12:57:21.365393', '2025-08-13 13:27:21.365393',
                   '2025-08-13 13:57:21.365393', '2025-08-13 14:27:21.365393',
                   '2025-08-13 14:57:21.365393', '2025-08-13 15:27:21.365393',
                   '2025-08-13 15:57:21.365393', '2025-08-13 16:27:21.365393',
                   '2025-08-13 16:57:21.365393', '2025-08-13 17:27:21.365393',
                   '2025-08-13 17:57:21.365393', '2025-08-13 18:27:21.365393',
                   '2025-08-13 18:57:21.365393', '2025-08-13 19:27:21.365393',
                   '2025-08-13 19:57:21.365393', '2025-08-13 20:27:21.365393',
                   '2025-08-13 20:57:21.365393', '2025-08-13 21:27:21.365393',
                   '2025-08-13 21:57:21.365393', '2025-08-13 22:27:21.365393',
                   '2025-08-13 22:57:21.365393', '2025-08-13 23:27:21.365393',
                   '2025-08-13 23:57:21.365393', '2025-08-14 00:27:21.365393',
                   '2025-08-14 00:57:21.365393', '2025-08-14 01:27:21.365393',
                   '2025-08-14 01:57:21.365393', '2025-08-14 02:27:21.365393',
                   '2025-08-14 02:57:21.365393', '2025-08-14 03:27:21.365393',
                   '2025-08-14 03:57:21.365393', '2025-08-14 04:27:21.365393',
                   '2025-08-14 04:57:21.365393', '2025-08-14 05:27:21.365393',
                   '2025-08-14 05:57:21.365393', '2025-08-14 06:27:21.365393',
                   '2025-08-14 06:57:21.365393', '2025-08-14 07:27:21.365393',
                   '2025-08-14 07:57:21.365393', '2025-08-14 08:27:21.365393',
                   '2025-08-14 08:57:21.365393', '2025-08-14 09:27:21.365393',
                   '2025-08-14 09:57:21.365393', '2025-08-14 10:27:21.365393',
                   '2025-08-14 10:57:21.365393', '2025-08-14 11:27:21.365393',
                   '2025-08-14 11:57:21.365393', '2025-08-14 12:27:21.365393',
                   '2025-08-14 12:57:21.365393', '2025-08-14 13:27:21.365393',
                   '2025-08-14 13:57:21.365393', '2025-08-14 14:27:21.365393',
                   '2025-08-14 14:57:21.365393', '2025-08-14 15:27:21.365393',
                   '2025-08-14 15:57:21.365393', '2025-08-14 16:27:21.365393',
                   '2025-08-14 16:57:21.365393', '2025-08-14 17:27:21.365393',
                   '2025-08-14 17:57:21.365393', '2025-08-14 18:27:21.365393',
                   '2025-08-14 18:57:21.365393', '2025-08-14 19:27:21.365393',
                   '2025-08-14 19:57:21.365393', '2025-08-14 20:27:21.365393',
                   '2025-08-14 20:57:21.365393'],
                  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 2025-08-13 08:57:25.322460

  date_created :

  2025-08-13T08:57:25.322476

  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 :

  2025-08-13 08:57:21.365393

  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 :

  1.14.2

  seed_geojson :

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

  simulation_time :

  2025-08-13 08:57:25.395204

  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 :

  2025-08-14 20:57:21.365393

  time_coverage_duration :

  P1DT12H0M0S

  time_coverage_resolution :

  P0DT0H10M0S

  performance :

  -------------------- Reader performance: -------------------- global_landmask 0:00:04.1 total 0:00:00.0 preparing 0:00:04.1 reading 0:00:00.0 masking -------------------- https://thredds.met.no/thredds/dodsC/fou-hi/norkystv3_800m_m00_be 0:01:04.5 total 0:00:00.0 preparing 0:01:01.4 reading 0:00:08.1 interpolation 0:00:00.2 interpolation_time 0:00:03.0 rotating vectors 0:00:00.0 masking -------------------- Performance: 1:24.4 total time 3.9 configuration 0.1 preparing main loop 0.0 moving elements to ocean 1:20.3 main loop 4.8 updating elements 3.8 vertical mixing 0.0 cleaning up --------------------

  geospatial_bounds_crs :

  EPSG:4326

  geospatial_bounds_vertical_crs :

  EPSG:5831

  geospatial_lat_min :

  58.96468

  geospatial_lat_max :

  59.19064

  geospatial_lat_units :

  degrees_north

  geospatial_lat_resolution :

  point

  geospatial_lon_min :

  10.713768

  geospatial_lon_max :

  11.201975

  geospatial_lon_units :

  degrees_east

  geospatial_lon_resolution :

  point

  runtime :

  0:01:24.462417

  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'])

08:58:58 INFO    opendrift:4560: Saving animation to /root/project/docs/source/gallery/animations/example_sediments_0.gif...
08:59:41 INFO    opendrift:3001: Time to make animation: 0:00:52.243654