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/sea/norkyst800m/1h/aggregate_be'])

10:00:33 INFO    opendrift:509: OpenDriftSimulation initialised (version 1.14.2 / v1.14.2-59-g60ee835)

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.utcnow(), datetime.utcnow()+timedelta(hours=48)],
                terminal_velocity=-.001)  # 1 mm/s settling speed

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

/root/project/examples/example_sediments.py:34: DeprecationWarning: datetime.datetime.utcnow() is deprecated and scheduled for removal in a future version. Use timezone-aware objects to represent datetimes in UTC: datetime.datetime.now(datetime.UTC).
  time=[datetime.utcnow(), datetime.utcnow()+timedelta(hours=48)],
10:00:33 INFO    opendrift.models.basemodel.environment:206: Adding a global landmask from GSHHG
10:00:37 INFO    opendrift.models.basemodel.environment:229: Fallback values will be used for the following variables which have no readers:
10:00:37 INFO    opendrift.models.basemodel.environment:232:    x_sea_water_velocity: 0.000000
10:00:37 INFO    opendrift.models.basemodel.environment:232:    y_sea_water_velocity: 0.000000
10:00:37 INFO    opendrift.models.basemodel.environment:232:    sea_surface_height: 0.000000
10:00:37 INFO    opendrift.models.basemodel.environment:232:    upward_sea_water_velocity: 0.000000
10:00:37 INFO    opendrift.models.basemodel.environment:232:    x_wind: 0.000000
10:00:37 INFO    opendrift.models.basemodel.environment:232:    y_wind: 0.000000
10:00:37 INFO    opendrift.models.basemodel.environment:232:    sea_surface_wave_stokes_drift_x_velocity: 0.000000
10:00:37 INFO    opendrift.models.basemodel.environment:232:    sea_surface_wave_stokes_drift_y_velocity: 0.000000
10:00:37 INFO    opendrift.models.basemodel.environment:232:    sea_surface_wave_period_at_variance_spectral_density_maximum: 0.000000
10:00:37 INFO    opendrift.models.basemodel.environment:232:    sea_surface_wave_mean_period_from_variance_spectral_density_second_frequency_moment: 0.000000
10:00:37 INFO    opendrift.models.basemodel.environment:232:    ocean_vertical_diffusivity: 0.020000
10:00:37 INFO    opendrift.models.basemodel.environment:232:    ocean_mixed_layer_thickness: 50.000000
10:00:37 INFO    opendrift.models.basemodel.environment:232:    sea_floor_depth_below_sea_level: 10000.000000
10:00:38 INFO    opendrift:885: Using existing reader for land_binary_mask
10:00:38 INFO    opendrift:914: All points are in ocean
10:00:38 INFO    opendrift:2035: Storing previous position of elements for coastline interaction
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10:00:38 INFO    opendrift.readers:61: Opening file with xr.open_dataset
10:00:40 INFO    opendrift.readers.reader_netCDF_CF_generic:332: Detected dimensions: {'x': 'X', 'y': 'Y', 'z': 'depth', 'time': 'time'}
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10:01:18 INFO    opendrift:2096: 2025-06-27 10:50:33.689025 - step 150 of 216 - 5208 active elements (0 deactivated)
10:01:18 INFO    opendrift:2096: 2025-06-27 11:00:33.689025 - step 151 of 216 - 5243 active elements (0 deactivated)
10:01:19 INFO    opendrift:2096: 2025-06-27 11:10:33.689025 - step 152 of 216 - 5278 active elements (0 deactivated)
10:01:19 INFO    opendrift:2096: 2025-06-27 11:20:33.689025 - step 153 of 216 - 5312 active elements (0 deactivated)
10:01:19 INFO    opendrift:2096: 2025-06-27 11:30:33.689025 - step 154 of 216 - 5347 active elements (0 deactivated)
10:01:20 INFO    opendrift:2096: 2025-06-27 11:40:33.689025 - step 155 of 216 - 5382 active elements (0 deactivated)
10:01:20 INFO    opendrift:2096: 2025-06-27 11:50:33.689025 - step 156 of 216 - 5417 active elements (0 deactivated)
10:01:20 INFO    opendrift:2096: 2025-06-27 12:00:33.689025 - step 157 of 216 - 5451 active elements (0 deactivated)
10:01:21 INFO    opendrift:2096: 2025-06-27 12:10:33.689025 - step 158 of 216 - 5486 active elements (0 deactivated)
10:01:21 INFO    opendrift:2096: 2025-06-27 12:20:33.689025 - step 159 of 216 - 5521 active elements (0 deactivated)
10:01:21 INFO    opendrift:2096: 2025-06-27 12:30:33.689025 - step 160 of 216 - 5556 active elements (0 deactivated)
10:01:22 INFO    opendrift:2096: 2025-06-27 12:40:33.689025 - step 161 of 216 - 5590 active elements (0 deactivated)
10:01:22 INFO    opendrift:2096: 2025-06-27 12:50:33.689025 - step 162 of 216 - 5625 active elements (0 deactivated)
10:01:22 INFO    opendrift:2096: 2025-06-27 13:00:33.689025 - step 163 of 216 - 5660 active elements (0 deactivated)
10:01:23 INFO    opendrift:2096: 2025-06-27 13:10:33.689025 - step 164 of 216 - 5694 active elements (0 deactivated)
10:01:23 INFO    opendrift:2096: 2025-06-27 13:20:33.689025 - step 165 of 216 - 5729 active elements (0 deactivated)
10:01:23 INFO    opendrift:2096: 2025-06-27 13:30:33.689025 - step 166 of 216 - 5764 active elements (0 deactivated)
10:01:23 INFO    opendrift:2096: 2025-06-27 13:40:33.689025 - step 167 of 216 - 5799 active elements (0 deactivated)
10:01:23 INFO    opendrift:2096: 2025-06-27 13:50:33.689025 - step 168 of 216 - 5833 active elements (0 deactivated)
10:01:24 INFO    opendrift:2096: 2025-06-27 14:00:33.689025 - step 169 of 216 - 5868 active elements (0 deactivated)
10:01:25 INFO    opendrift:2096: 2025-06-27 14:10:33.689025 - step 170 of 216 - 5903 active elements (0 deactivated)
10:01:25 INFO    opendrift:2096: 2025-06-27 14:20:33.689025 - step 171 of 216 - 5937 active elements (0 deactivated)
10:01:25 INFO    opendrift:2096: 2025-06-27 14:30:33.689025 - step 172 of 216 - 5972 active elements (0 deactivated)
10:01:25 INFO    opendrift:2096: 2025-06-27 14:40:33.689025 - step 173 of 216 - 6007 active elements (0 deactivated)
10:01:26 INFO    opendrift:2096: 2025-06-27 14:50:33.689025 - step 174 of 216 - 6042 active elements (0 deactivated)
10:01:26 INFO    opendrift:2096: 2025-06-27 15:00:33.689025 - step 175 of 216 - 6076 active elements (0 deactivated)
10:01:27 INFO    opendrift:2096: 2025-06-27 15:10:33.689025 - step 176 of 216 - 6111 active elements (0 deactivated)
10:01:27 INFO    opendrift:2096: 2025-06-27 15:20:33.689025 - step 177 of 216 - 6146 active elements (0 deactivated)
10:01:27 INFO    opendrift:2096: 2025-06-27 15:30:33.689025 - step 178 of 216 - 6180 active elements (0 deactivated)
10:01:28 INFO    opendrift:2096: 2025-06-27 15:40:33.689025 - step 179 of 216 - 6215 active elements (0 deactivated)
10:01:28 INFO    opendrift:2096: 2025-06-27 15:50:33.689025 - step 180 of 216 - 6250 active elements (0 deactivated)
10:01:28 INFO    opendrift:2096: 2025-06-27 16:00:33.689025 - step 181 of 216 - 6285 active elements (0 deactivated)
10:01:29 INFO    opendrift:2096: 2025-06-27 16:10:33.689025 - step 182 of 216 - 6319 active elements (0 deactivated)
10:01:29 INFO    opendrift:2096: 2025-06-27 16:20:33.689025 - step 183 of 216 - 6354 active elements (0 deactivated)
10:01:30 INFO    opendrift:2096: 2025-06-27 16:30:33.689025 - step 184 of 216 - 6389 active elements (0 deactivated)
10:01:30 INFO    opendrift:2096: 2025-06-27 16:40:33.689025 - step 185 of 216 - 6423 active elements (0 deactivated)
10:01:30 INFO    opendrift:2096: 2025-06-27 16:50:33.689025 - step 186 of 216 - 6458 active elements (0 deactivated)
10:01:30 INFO    opendrift:2096: 2025-06-27 17:00:33.689025 - step 187 of 216 - 6493 active elements (0 deactivated)
10:01:31 INFO    opendrift:2096: 2025-06-27 17:10:33.689025 - step 188 of 216 - 6528 active elements (0 deactivated)
10:01:31 INFO    opendrift:2096: 2025-06-27 17:20:33.689025 - step 189 of 216 - 6562 active elements (0 deactivated)
10:01:32 INFO    opendrift:2096: 2025-06-27 17:30:33.689025 - step 190 of 216 - 6597 active elements (0 deactivated)
10:01:32 INFO    opendrift:2096: 2025-06-27 17:40:33.689025 - step 191 of 216 - 6632 active elements (0 deactivated)
10:01:32 INFO    opendrift:2096: 2025-06-27 17:50:33.689025 - step 192 of 216 - 6667 active elements (0 deactivated)
10:01:32 INFO    opendrift:2096: 2025-06-27 18:00:33.689025 - step 193 of 216 - 6701 active elements (0 deactivated)
10:01:33 INFO    opendrift:2096: 2025-06-27 18:10:33.689025 - step 194 of 216 - 6736 active elements (0 deactivated)
10:01:34 INFO    opendrift:2096: 2025-06-27 18:20:33.689025 - step 195 of 216 - 6771 active elements (0 deactivated)
10:01:34 INFO    opendrift:2096: 2025-06-27 18:30:33.689025 - step 196 of 216 - 6805 active elements (0 deactivated)
10:01:34 INFO    opendrift:2096: 2025-06-27 18:40:33.689025 - step 197 of 216 - 6840 active elements (0 deactivated)
10:01:34 INFO    opendrift:2096: 2025-06-27 18:50:33.689025 - step 198 of 216 - 6875 active elements (0 deactivated)
10:01:34 INFO    opendrift:2096: 2025-06-27 19:00:33.689025 - step 199 of 216 - 6910 active elements (0 deactivated)
10:01:35 INFO    opendrift:2096: 2025-06-27 19:10:33.689025 - step 200 of 216 - 6944 active elements (0 deactivated)
10:01:35 INFO    opendrift:2096: 2025-06-27 19:20:33.689025 - step 201 of 216 - 6979 active elements (0 deactivated)
10:01:36 INFO    opendrift:2096: 2025-06-27 19:30:33.689025 - step 202 of 216 - 7014 active elements (0 deactivated)
10:01:36 INFO    opendrift:2096: 2025-06-27 19:40:33.689025 - step 203 of 216 - 7048 active elements (0 deactivated)
10:01:36 INFO    opendrift:2096: 2025-06-27 19:50:33.689025 - step 204 of 216 - 7083 active elements (0 deactivated)
10:01:36 INFO    opendrift:2096: 2025-06-27 20:00:33.689025 - step 205 of 216 - 7118 active elements (0 deactivated)
10:01:37 INFO    opendrift:2096: 2025-06-27 20:10:33.689025 - step 206 of 216 - 7153 active elements (0 deactivated)
10:01:38 INFO    opendrift:2096: 2025-06-27 20:20:33.689025 - step 207 of 216 - 7187 active elements (0 deactivated)
10:01:38 INFO    opendrift:2096: 2025-06-27 20:30:33.689025 - step 208 of 216 - 7222 active elements (0 deactivated)
10:01:38 INFO    opendrift:2096: 2025-06-27 20:40:33.689025 - step 209 of 216 - 7257 active elements (0 deactivated)
10:01:38 INFO    opendrift:2096: 2025-06-27 20:50:33.689025 - step 210 of 216 - 7291 active elements (0 deactivated)
10:01:38 INFO    opendrift:2096: 2025-06-27 21:00:33.689025 - step 211 of 216 - 7326 active elements (0 deactivated)
10:01:40 INFO    opendrift:2096: 2025-06-27 21:10:33.689025 - step 212 of 216 - 7361 active elements (0 deactivated)
10:01:40 INFO    opendrift:2096: 2025-06-27 21:20:33.689025 - step 213 of 216 - 7396 active elements (0 deactivated)
10:01:40 INFO    opendrift:2096: 2025-06-27 21:30:33.689025 - step 214 of 216 - 7430 active elements (0 deactivated)
10:01:40 INFO    opendrift:2096: 2025-06-27 21:40:33.689025 - step 215 of 216 - 7465 active elements (0 deactivated)
10:01:40 INFO    opendrift:2096: 2025-06-27 21:50:33.689025 - step 216 of 216 - 7500 active elements (0 deactivated)
10:01:40 INFO    opendrift:2203: Removing 2500 unseeded elements

<xarray.Dataset> Size: 55MB
Dimensions:                                                                              (
                                                                                          trajectory: 7500,
                                                                                          time: 73)
Coordinates:
  * trajectory                                                                           (trajectory) int64 60kB ...
  * time                                                                                 (time) datetime64[ns] 584B ...
Data variables: (12/25)
    status                                                                               (trajectory, time) float32 2MB ...
    moving                                                                               (trajectory, time) float32 2MB ...
    age_seconds                                                                          (trajectory, time) float32 2MB ...
    origin_marker                                                                        (trajectory, time) float32 2MB ...
    lon                                                                                  (trajectory, time) float32 2MB ...
    lat                                                                                  (trajectory, time) float32 2MB ...
    ...                                                                                   ...
    sea_surface_wave_period_at_variance_spectral_density_maximum                         (trajectory, time) float32 2MB ...
    sea_surface_wave_mean_period_from_variance_spectral_density_second_frequency_moment  (trajectory, time) float32 2MB ...
    land_binary_mask                                                                     (trajectory, time) float32 2MB ...
    ocean_vertical_diffusivity                                                           (trajectory, time) float32 2MB ...
    ocean_mixed_layer_thickness                                                          (trajectory, time) float32 2MB ...
    sea_floor_depth_below_sea_level                                                      (trajectory, time) float32 2MB ...
Attributes: (12/124)
    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]
    2025-06-26T10:00:33.689025 ... 2...

    standard_name :

    time

    long_name :

    time

    dtype :

    <class 'numpy.float64'>

    array(['2025-06-26T10:00:33.689025000', '2025-06-26T10:30:33.689025000',
           '2025-06-26T11:00:33.689025000', '2025-06-26T11:30:33.689025000',
           '2025-06-26T12:00:33.689025000', '2025-06-26T12:30:33.689025000',
           '2025-06-26T13:00:33.689025000', '2025-06-26T13:30:33.689025000',
           '2025-06-26T14:00:33.689025000', '2025-06-26T14:30:33.689025000',
           '2025-06-26T15:00:33.689025000', '2025-06-26T15:30:33.689025000',
           '2025-06-26T16:00:33.689025000', '2025-06-26T16:30:33.689025000',
           '2025-06-26T17:00:33.689025000', '2025-06-26T17:30:33.689025000',
           '2025-06-26T18:00:33.689025000', '2025-06-26T18:30:33.689025000',
           '2025-06-26T19:00:33.689025000', '2025-06-26T19:30:33.689025000',
           '2025-06-26T20:00:33.689025000', '2025-06-26T20:30:33.689025000',
           '2025-06-26T21:00:33.689025000', '2025-06-26T21:30:33.689025000',
           '2025-06-26T22:00:33.689025000', '2025-06-26T22:30:33.689025000',
           '2025-06-26T23:00:33.689025000', '2025-06-26T23:30:33.689025000',
           '2025-06-27T00:00:33.689025000', '2025-06-27T00:30:33.689025000',
           '2025-06-27T01:00:33.689025000', '2025-06-27T01:30:33.689025000',
           '2025-06-27T02:00:33.689025000', '2025-06-27T02:30:33.689025000',
           '2025-06-27T03:00:33.689025000', '2025-06-27T03:30:33.689025000',
           '2025-06-27T04:00:33.689025000', '2025-06-27T04:30:33.689025000',
           '2025-06-27T05:00:33.689025000', '2025-06-27T05:30:33.689025000',
           '2025-06-27T06:00:33.689025000', '2025-06-27T06:30:33.689025000',
           '2025-06-27T07:00:33.689025000', '2025-06-27T07:30:33.689025000',
           '2025-06-27T08:00:33.689025000', '2025-06-27T08:30:33.689025000',
           '2025-06-27T09:00:33.689025000', '2025-06-27T09:30:33.689025000',
           '2025-06-27T10:00:33.689025000', '2025-06-27T10:30:33.689025000',
           '2025-06-27T11:00:33.689025000', '2025-06-27T11:30:33.689025000',
           '2025-06-27T12:00:33.689025000', '2025-06-27T12:30:33.689025000',
           '2025-06-27T13:00:33.689025000', '2025-06-27T13:30:33.689025000',
           '2025-06-27T14:00:33.689025000', '2025-06-27T14:30:33.689025000',
           '2025-06-27T15:00:33.689025000', '2025-06-27T15:30:33.689025000',
           '2025-06-27T16:00:33.689025000', '2025-06-27T16:30:33.689025000',
           '2025-06-27T17:00:33.689025000', '2025-06-27T17:30:33.689025000',
           '2025-06-27T18:00:33.689025000', '2025-06-27T18:30:33.689025000',
           '2025-06-27T19:00:33.689025000', '2025-06-27T19:30:33.689025000',
           '2025-06-27T20:00:33.689025000', '2025-06-27T20:30:33.689025000',
           '2025-06-27T21:00:33.689025000', '2025-06-27T21:30:33.689025000',
           '2025-06-27T22:00:33.689025000'], dtype='datetime64[ns]')

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

    dtype :

    <class 'numpy.int32'>

    valid_range :

    [0 0]

    flag_values :

    [0]

    flag_meanings :

    active

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

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

    dtype :

    <class 'numpy.int32'>

    minval :

    1

    maxval :

    1

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

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

    dtype :

    <class 'numpy.float32'>

    units :

    s

    minval :

    0.0

    maxval :

    129600.0

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

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

    dtype :

    <class 'numpy.int32'>

    unit :

    description :

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

    flag_values :

    [0]

    flag_meanings :

    Seed_0

    minval :

    0

    maxval :

    0

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

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

    dtype :

    <class 'numpy.float32'>

    units :

    degrees_east

    standard_name :

    longitude

    long_name :

    longitude

    axis :

    X

    minval :

    10.933843

    maxval :

    11.228395

    array([[10.96292 , 10.976574, 10.98035 , ..., 11.019794, 11.015446,
            11.017355],
           [10.96292 , 10.974132, 10.97809 , ..., 10.991547, 10.99066 ,
            10.988726],
           [10.96292 , 10.974392, 10.983762, ..., 11.021829, 11.021669,
            11.021669],
           ...,
           [      nan,       nan,       nan, ...,       nan,       nan,
            10.966507],
           [      nan,       nan,       nan, ...,       nan,       nan,
            10.967733],
           [      nan,       nan,       nan, ...,       nan,       nan,
            10.968054]], 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 :

    59.044804

    maxval :

    59.18872

    array([[59.169193, 59.172752, 59.177853, ..., 59.18526 , 59.185253,
            59.183426],
           [59.169193, 59.175213, 59.175858, ..., 59.187023, 59.186825,
            59.18209 ],
           [59.169193, 59.171753, 59.175747, ..., 59.167492, 59.167614,
            59.167614],
           ...,
           [      nan,       nan,       nan, ...,       nan,       nan,
            59.16945 ],
           [      nan,       nan,       nan, ...,       nan,       nan,
            59.169407],
           [      nan,       nan,       nan, ...,       nan,       nan,
            59.16952 ]], 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
    0.599 0.3505 -0.2784 ... nan 0.44

    minval :

    -1.0158005

    maxval :

    1.2424529

    array([[ 0.5989991 ,  0.3504981 , -0.27836916, ...,  0.14362733,
             0.01736407,  0.09545961],
           [ 0.3262201 ,  0.17478336,  0.5253007 , ...,  0.15897632,
            -0.12876071, -0.18420315],
           [ 0.44193622,  0.428393  ,  0.18121928, ...,  0.28363675,
             0.14791036,  0.18717363],
           ...,
           [        nan,         nan,         nan, ...,         nan,
                    nan,  0.2395794 ],
           [        nan,         nan,         nan, ...,         nan,
                    nan,  0.33385396],
           [        nan,         nan,         nan, ...,         nan,
                    nan,  0.44000033]], shape=(7500, 73), dtype=float32)

  • y_sea_water_velocity
    (trajectory, time)
    float32
    0.02271 0.04904 ... nan 0.006456

    minval :

    -1.3005205

    maxval :

    0.8930905

    array([[ 2.2707978e-02,  4.9042936e-02,  3.2982326e-01, ...,
             1.9492364e-02, -3.1603184e-01, -4.8842866e-02],
           [ 2.3749632e-01,  1.2430898e-01,  2.9471979e-01, ...,
            -3.6325318e-01, -9.3374915e-02, -6.1704320e-01],
           [ 2.3191415e-01,  1.6953208e-01,  1.7771472e-01, ...,
            -1.3557303e-01,  1.9046860e-02, -1.0380783e-01],
           ...,
           [           nan,            nan,            nan, ...,
                       nan,            nan,  4.9651085e-06],
           [           nan,            nan,            nan, ...,
                       nan,            nan,  1.5465878e-02],
           [           nan,            nan,            nan, ...,
                       nan,            nan,  6.4564045e-03]],
          shape=(7500, 73), dtype=float32)

  • sea_surface_height
    (trajectory, time)
    float32
    -0.3774 -0.3772 ... nan -0.2657

    minval :

    -0.3824848

    maxval :

    0.23853283

    array([[-0.37736633, -0.377198  , -0.37572345, ..., -0.17699526,
            -0.23050132, -0.2660726 ],
           [-0.37736633, -0.37615746, -0.37610427, ..., -0.17708755,
            -0.23056968, -0.26621032],
           [-0.37736633, -0.3773213 , -0.37650225, ..., -0.17398262,
            -0.2264826 , -0.26148263],
           ...,
           [        nan,         nan,         nan, ...,         nan,
                    nan, -0.26571563],
           [        nan,         nan,         nan, ...,         nan,
                    nan, -0.26571563],
           [        nan,         nan,         nan, ...,         nan,
                    nan, -0.26571563]], shape=(7500, 73), dtype=float32)

  • upward_sea_water_velocity
    (trajectory, time)
    float32
    -2.705e-05 3.269e-06 ... -3.769e-05

    minval :

    -4.3508717e-05

    maxval :

    5.6156736e-05

    array([[-2.7054846e-05,  3.2686635e-06,  1.8399916e-05, ...,
            -2.5472174e-05, -2.5482417e-05, -2.5437124e-05],
           [-2.7054846e-05,  3.0125698e-06,  1.8332063e-05, ...,
            -2.5444369e-05, -2.5434936e-05, -2.5437050e-05],
           [-2.7054846e-05,  2.8843701e-06,  1.8587438e-05, ...,
            -2.7196729e-05, -2.5900274e-05, -2.5039508e-05],
           ...,
           [           nan,            nan,            nan, ...,
                       nan,            nan, -3.7686870e-05],
           [           nan,            nan,            nan, ...,
                       nan,            nan, -3.7686870e-05],
           [           nan,            nan,            nan, ...,
                       nan,            nan, -3.7686870e-05]],
          shape=(7500, 73), dtype=float32)

  • x_wind
    (trajectory, time)
    float32
    2.952 -1.059 0.1742 ... nan 2.465

    minval :

    -7.4489965

    maxval :

    16.475029

    array([[ 2.9516215 , -1.0593268 ,  0.17421801, ...,  5.9870653 ,
             0.9572165 ,  2.2542517 ],
           [ 1.7514063 , -0.7684368 , -3.6014245 , ...,  3.484226  ,
             2.359965  ,  2.2770262 ],
           [ 3.7722418 , -1.1380448 ,  2.097233  , ...,  4.150493  ,
             3.146194  ,  6.181027  ],
           ...,
           [        nan,         nan,         nan, ...,         nan,
                    nan,  5.1136975 ],
           [        nan,         nan,         nan, ...,         nan,
                    nan,  6.247292  ],
           [        nan,         nan,         nan, ...,         nan,
                    nan,  2.4652297 ]], shape=(7500, 73), dtype=float32)

  • y_wind
    (trajectory, time)
    float32
    11.35 7.191 6.696 ... nan nan 2.739

    minval :

    -11.271005

    maxval :

    15.4933195

    array([[11.348617  ,  7.1907454 ,  6.6958294 , ...,  1.5369132 ,
             2.727162  , -1.0408686 ],
           [ 6.634136  ,  5.380948  ,  6.1715274 , ...,  0.8995996 ,
             0.49481398, -0.58469695],
           [ 5.9664645 ,  4.3623314 ,  8.931618  , ...,  0.5522157 ,
            -3.0507872 , -0.43185586],
           ...,
           [        nan,         nan,         nan, ...,         nan,
                    nan,  2.362014  ],
           [        nan,         nan,         nan, ...,         nan,
                    nan,  1.2006638 ],
           [        nan,         nan,         nan, ...,         nan,
                    nan,  2.7387447 ]], 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
    10.02 6.211 5.723 ... nan nan 3.149

    minval :

    0.0098512545

    maxval :

    14.078205

    array([[10.019671 ,  6.2105966,  5.7233253, ...,  5.2816415,  2.4696527,
             2.1216109],
           [ 5.8628883,  4.6445093,  6.105611 , ...,  3.0748017,  2.0603688,
             2.0087726],
           [ 6.031649 ,  3.8522394,  7.839374 , ...,  3.5777264,  3.7446718,
             5.294381 ],
           ...,
           [       nan,        nan,        nan, ...,        nan,        nan,
             4.8131056],
           [       nan,        nan,        nan, ...,        nan,        nan,
             5.43582  ],
           [       nan,        nan,        nan, ...,        nan,        nan,
             3.1485918]], 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
    0.02 0.02 0.02 ... nan nan 0.02

    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)

  • 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
    6.592 6.354 6.008 ... nan nan 6.592

    minval :

    5.0

    maxval :

    60.119564

    array([[6.5920906, 6.3543067, 6.0078087, ..., 5.       , 5.       ,
            5.       ],
           [6.5920906, 6.173455 , 6.102933 , ..., 5.0888376, 5.135134 ,
            5.28458  ],
           [6.5920906, 6.4525127, 6.099177 , ..., 5.302918 , 5.       ,
            5.427738 ],
           ...,
           [      nan,       nan,       nan, ...,       nan,       nan,
            6.5920386],
           [      nan,       nan,       nan, ...,       nan,       nan,
            6.5920386],
           [      nan,       nan,       nan, ...,       nan,       nan,
            6.5920386]], 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(['2025-06-26 10:00:33.689025', '2025-06-26 10:30:33.689025',
                   '2025-06-26 11:00:33.689025', '2025-06-26 11:30:33.689025',
                   '2025-06-26 12:00:33.689025', '2025-06-26 12:30:33.689025',
                   '2025-06-26 13:00:33.689025', '2025-06-26 13:30:33.689025',
                   '2025-06-26 14:00:33.689025', '2025-06-26 14:30:33.689025',
                   '2025-06-26 15:00:33.689025', '2025-06-26 15:30:33.689025',
                   '2025-06-26 16:00:33.689025', '2025-06-26 16:30:33.689025',
                   '2025-06-26 17:00:33.689025', '2025-06-26 17:30:33.689025',
                   '2025-06-26 18:00:33.689025', '2025-06-26 18:30:33.689025',
                   '2025-06-26 19:00:33.689025', '2025-06-26 19:30:33.689025',
                   '2025-06-26 20:00:33.689025', '2025-06-26 20:30:33.689025',
                   '2025-06-26 21:00:33.689025', '2025-06-26 21:30:33.689025',
                   '2025-06-26 22:00:33.689025', '2025-06-26 22:30:33.689025',
                   '2025-06-26 23:00:33.689025', '2025-06-26 23:30:33.689025',
                   '2025-06-27 00:00:33.689025', '2025-06-27 00:30:33.689025',
                   '2025-06-27 01:00:33.689025', '2025-06-27 01:30:33.689025',
                   '2025-06-27 02:00:33.689025', '2025-06-27 02:30:33.689025',
                   '2025-06-27 03:00:33.689025', '2025-06-27 03:30:33.689025',
                   '2025-06-27 04:00:33.689025', '2025-06-27 04:30:33.689025',
                   '2025-06-27 05:00:33.689025', '2025-06-27 05:30:33.689025',
                   '2025-06-27 06:00:33.689025', '2025-06-27 06:30:33.689025',
                   '2025-06-27 07:00:33.689025', '2025-06-27 07:30:33.689025',
                   '2025-06-27 08:00:33.689025', '2025-06-27 08:30:33.689025',
                   '2025-06-27 09:00:33.689025', '2025-06-27 09:30:33.689025',
                   '2025-06-27 10:00:33.689025', '2025-06-27 10:30:33.689025',
                   '2025-06-27 11:00:33.689025', '2025-06-27 11:30:33.689025',
                   '2025-06-27 12:00:33.689025', '2025-06-27 12:30:33.689025',
                   '2025-06-27 13:00:33.689025', '2025-06-27 13:30:33.689025',
                   '2025-06-27 14:00:33.689025', '2025-06-27 14:30:33.689025',
                   '2025-06-27 15:00:33.689025', '2025-06-27 15:30:33.689025',
                   '2025-06-27 16:00:33.689025', '2025-06-27 16:30:33.689025',
                   '2025-06-27 17:00:33.689025', '2025-06-27 17:30:33.689025',
                   '2025-06-27 18:00:33.689025', '2025-06-27 18:30:33.689025',
                   '2025-06-27 19:00:33.689025', '2025-06-27 19:30:33.689025',
                   '2025-06-27 20:00:33.689025', '2025-06-27 20:30:33.689025',
                   '2025-06-27 21:00:33.689025', '2025-06-27 21:30:33.689025',
                   '2025-06-27 22:00:33.689025'],
                  dtype='datetime64[ns]', name='time', freq='30min'))

• Attributes: (124)

  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 2025-06-26 10:00:38.023859

  date_created :

  2025-06-26T10:00:38.023878

  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/sea/norkyst800m/1h/aggregate_be', 'global_landmask'])

  time_coverage_start :

  2025-06-26 10:00:33.689025

  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: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 :

  2025-06-26 10:00:38.143554

  reader_x_sea_water_velocity :

  ['https://thredds.met.no/thredds/dodsC/sea/norkyst800m/1h/aggregate_be']

  reader_y_sea_water_velocity :

  ['https://thredds.met.no/thredds/dodsC/sea/norkyst800m/1h/aggregate_be']

  reader_sea_surface_height :

  ['https://thredds.met.no/thredds/dodsC/sea/norkyst800m/1h/aggregate_be']

  reader_upward_sea_water_velocity :

  ['https://thredds.met.no/thredds/dodsC/sea/norkyst800m/1h/aggregate_be']

  reader_x_wind :

  ['https://thredds.met.no/thredds/dodsC/sea/norkyst800m/1h/aggregate_be']

  reader_y_wind :

  ['https://thredds.met.no/thredds/dodsC/sea/norkyst800m/1h/aggregate_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 :

  0.02

  reader_ocean_mixed_layer_thickness :

  50

  reader_sea_floor_depth_below_sea_level :

  ['https://thredds.met.no/thredds/dodsC/sea/norkyst800m/1h/aggregate_be']

  time_coverage_end :

  2025-06-27 22:00:33.689025

  time_coverage_duration :

  P1DT12H0M0S

  time_coverage_resolution :

  P0DT0H10M0S

  performance :

  -------------------- Reader performance: -------------------- global_landmask 0:00:05.2 total 0:00:00.0 preparing 0:00:05.2 reading 0:00:00.0 masking -------------------- https://thredds.met.no/thredds/dodsC/sea/norkyst800m/1h/aggregate_be 0:00:45.0 total 0:00:00.0 preparing 0:00:42.0 reading 0:00:02.5 interpolation 0:00:00.1 interpolation_time 0:00:02.9 rotating vectors 0:00:00.0 masking -------------------- Performance: 1:07.1 total time 4.3 configuration 0.1 preparing main loop 0.0 moving elements to ocean 1:02.6 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 :

  59.044804

  geospatial_lat_max :

  59.18872

  geospatial_lat_units :

  degrees_north

  geospatial_lat_resolution :

  point

  geospatial_lon_min :

  10.933843

  geospatial_lon_max :

  11.228395

  geospatial_lon_units :

  degrees_east

  geospatial_lon_resolution :

  point

  runtime :

  0:01:07.194470

  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'])

10:01:53 INFO    opendrift:4607: Saving animation to /root/project/docs/source/gallery/animations/example_sediments_0.gif...
10:02:43 INFO    opendrift:3055: Time to make animation: 0:00:59.567798