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'])

17:15:14 INFO    opendrift:513: OpenDriftSimulation initialised (version 1.14.2 / v1.14.2-88-gf09b7bd)

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))

17:15:14 INFO    opendrift.models.basemodel.environment:206: Adding a global landmask from GSHHG
17:15:19 INFO    opendrift.models.basemodel.environment:229: Fallback values will be used for the following variables which have no readers:
17:15:19 INFO    opendrift.models.basemodel.environment:232:    x_sea_water_velocity: 0.000000
17:15:19 INFO    opendrift.models.basemodel.environment:232:    y_sea_water_velocity: 0.000000
17:15:19 INFO    opendrift.models.basemodel.environment:232:    sea_surface_height: 0.000000
17:15:19 INFO    opendrift.models.basemodel.environment:232:    upward_sea_water_velocity: 0.000000
17:15:19 INFO    opendrift.models.basemodel.environment:232:    x_wind: 0.000000
17:15:19 INFO    opendrift.models.basemodel.environment:232:    y_wind: 0.000000
17:15:19 INFO    opendrift.models.basemodel.environment:232:    sea_surface_wave_stokes_drift_x_velocity: 0.000000
17:15:19 INFO    opendrift.models.basemodel.environment:232:    sea_surface_wave_stokes_drift_y_velocity: 0.000000
17:15:19 INFO    opendrift.models.basemodel.environment:232:    sea_surface_wave_period_at_variance_spectral_density_maximum: 0.000000
17:15:19 INFO    opendrift.models.basemodel.environment:232:    sea_surface_wave_mean_period_from_variance_spectral_density_second_frequency_moment: 0.000000
17:15:19 INFO    opendrift.models.basemodel.environment:232:    ocean_vertical_diffusivity: 0.020000
17:15:19 INFO    opendrift.models.basemodel.environment:232:    ocean_mixed_layer_thickness: 50.000000
17:15:19 INFO    opendrift.models.basemodel.environment:232:    sea_floor_depth_below_sea_level: 10000.000000
17:15:19 INFO    opendrift:1743: Storing previous values of element property lon because of condition (('general:coastline_action', 'in', ['stranding', 'previous']), 'or', ('general:seafloor_action', 'in', ['previous']))
17:15:19 INFO    opendrift:1743: Storing previous values of element property lat because of condition (('general:coastline_action', 'in', ['stranding', 'previous']), 'or', ('general:seafloor_action', 'in', ['previous']))
17:15:19 INFO    opendrift:899: Using existing reader for land_binary_mask
17:15:19 INFO    opendrift:928: All points are in ocean
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17:15:19 INFO    opendrift.readers:61: Opening file with xr.open_dataset
17:15:21 INFO    opendrift.readers.reader_netCDF_CF_generic:332: Detected dimensions: {'x': 'X', 'y': 'Y', 'z': 'depth', 'time': 'time'}
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17:16:01 INFO    opendrift:2035: 2025-07-12 18:35:14.707256 - step 153 of 216 - 5312 active elements (0 deactivated)
17:16:01 INFO    opendrift:2035: 2025-07-12 18:45:14.707256 - step 154 of 216 - 5347 active elements (0 deactivated)
17:16:02 INFO    opendrift:2035: 2025-07-12 18:55:14.707256 - step 155 of 216 - 5382 active elements (0 deactivated)
17:16:02 INFO    opendrift:2035: 2025-07-12 19:05:14.707256 - step 156 of 216 - 5417 active elements (0 deactivated)
17:16:03 INFO    opendrift:2035: 2025-07-12 19:15:14.707256 - step 157 of 216 - 5451 active elements (0 deactivated)
17:16:03 INFO    opendrift:2035: 2025-07-12 19:25:14.707256 - step 158 of 216 - 5486 active elements (0 deactivated)
17:16:03 INFO    opendrift:2035: 2025-07-12 19:35:14.707256 - step 159 of 216 - 5521 active elements (0 deactivated)
17:16:04 INFO    opendrift:2035: 2025-07-12 19:45:14.707256 - step 160 of 216 - 5556 active elements (0 deactivated)
17:16:04 INFO    opendrift:2035: 2025-07-12 19:55:14.707256 - step 161 of 216 - 5590 active elements (0 deactivated)
17:16:04 INFO    opendrift:2035: 2025-07-12 20:05:14.707256 - step 162 of 216 - 5625 active elements (0 deactivated)
17:16:05 INFO    opendrift:2035: 2025-07-12 20:15:14.707256 - step 163 of 216 - 5660 active elements (0 deactivated)
17:16:05 INFO    opendrift:2035: 2025-07-12 20:25:14.707256 - step 164 of 216 - 5694 active elements (0 deactivated)
17:16:05 INFO    opendrift:2035: 2025-07-12 20:35:14.707256 - step 165 of 216 - 5729 active elements (0 deactivated)
17:16:05 INFO    opendrift:2035: 2025-07-12 20:45:14.707256 - step 166 of 216 - 5764 active elements (0 deactivated)
17:16:05 INFO    opendrift:2035: 2025-07-12 20:55:14.707256 - step 167 of 216 - 5799 active elements (0 deactivated)
17:16:06 INFO    opendrift:2035: 2025-07-12 21:05:14.707256 - step 168 of 216 - 5833 active elements (0 deactivated)
17:16:07 INFO    opendrift:2035: 2025-07-12 21:15:14.707256 - step 169 of 216 - 5868 active elements (0 deactivated)
17:16:07 INFO    opendrift:2035: 2025-07-12 21:25:14.707256 - step 170 of 216 - 5903 active elements (0 deactivated)
17:16:07 INFO    opendrift:2035: 2025-07-12 21:35:14.707256 - step 171 of 216 - 5937 active elements (0 deactivated)
17:16:07 INFO    opendrift:2035: 2025-07-12 21:45:14.707256 - step 172 of 216 - 5972 active elements (0 deactivated)
17:16:07 INFO    opendrift:2035: 2025-07-12 21:55:14.707256 - step 173 of 216 - 6007 active elements (0 deactivated)
17:16:07 INFO    opendrift:2035: 2025-07-12 22:05:14.707256 - step 174 of 216 - 6042 active elements (0 deactivated)
17:16:09 INFO    opendrift:2035: 2025-07-12 22:15:14.707256 - step 175 of 216 - 6076 active elements (0 deactivated)
17:16:09 INFO    opendrift:2035: 2025-07-12 22:25:14.707256 - step 176 of 216 - 6111 active elements (0 deactivated)
17:16:09 INFO    opendrift:2035: 2025-07-12 22:35:14.707256 - step 177 of 216 - 6146 active elements (0 deactivated)
17:16:09 INFO    opendrift:2035: 2025-07-12 22:45:14.707256 - step 178 of 216 - 6180 active elements (0 deactivated)
17:16:09 INFO    opendrift:2035: 2025-07-12 22:55:14.707256 - step 179 of 216 - 6215 active elements (0 deactivated)
17:16:09 INFO    opendrift:2035: 2025-07-12 23:05:14.707256 - step 180 of 216 - 6250 active elements (0 deactivated)
17:16:11 INFO    opendrift:2035: 2025-07-12 23:15:14.707256 - step 181 of 216 - 6285 active elements (0 deactivated)
17:16:11 INFO    opendrift:2035: 2025-07-12 23:25:14.707256 - step 182 of 216 - 6319 active elements (0 deactivated)
17:16:11 INFO    opendrift:2035: 2025-07-12 23:35:14.707256 - step 183 of 216 - 6354 active elements (0 deactivated)
17:16:11 INFO    opendrift:2035: 2025-07-12 23:45:14.707256 - step 184 of 216 - 6389 active elements (0 deactivated)
17:16:11 INFO    opendrift:2035: 2025-07-12 23:55:14.707256 - step 185 of 216 - 6423 active elements (0 deactivated)
17:16:11 INFO    opendrift:2035: 2025-07-13 00:05:14.707256 - step 186 of 216 - 6458 active elements (0 deactivated)
17:16:13 INFO    opendrift:2035: 2025-07-13 00:15:14.707256 - step 187 of 216 - 6493 active elements (0 deactivated)
17:16:13 INFO    opendrift:2035: 2025-07-13 00:25:14.707256 - step 188 of 216 - 6528 active elements (0 deactivated)
17:16:13 INFO    opendrift:2035: 2025-07-13 00:35:14.707256 - step 189 of 216 - 6562 active elements (0 deactivated)
17:16:13 INFO    opendrift:2035: 2025-07-13 00:45:14.707256 - step 190 of 216 - 6597 active elements (0 deactivated)
17:16:13 INFO    opendrift:2035: 2025-07-13 00:55:14.707256 - step 191 of 216 - 6632 active elements (0 deactivated)
17:16:13 INFO    opendrift:2035: 2025-07-13 01:05:14.707256 - step 192 of 216 - 6667 active elements (0 deactivated)
17:16:15 INFO    opendrift:2035: 2025-07-13 01:15:14.707256 - step 193 of 216 - 6701 active elements (0 deactivated)
17:16:15 INFO    opendrift:2035: 2025-07-13 01:25:14.707256 - step 194 of 216 - 6736 active elements (0 deactivated)
17:16:15 INFO    opendrift:2035: 2025-07-13 01:35:14.707256 - step 195 of 216 - 6771 active elements (0 deactivated)
17:16:15 INFO    opendrift:2035: 2025-07-13 01:45:14.707256 - step 196 of 216 - 6805 active elements (0 deactivated)
17:16:16 INFO    opendrift:2035: 2025-07-13 01:55:14.707256 - step 197 of 216 - 6840 active elements (0 deactivated)
17:16:16 INFO    opendrift:2035: 2025-07-13 02:05:14.707256 - step 198 of 216 - 6875 active elements (0 deactivated)
17:16:17 INFO    opendrift:2035: 2025-07-13 02:15:14.707256 - step 199 of 216 - 6910 active elements (0 deactivated)
17:16:17 INFO    opendrift:2035: 2025-07-13 02:25:14.707256 - step 200 of 216 - 6944 active elements (0 deactivated)
17:16:18 INFO    opendrift:2035: 2025-07-13 02:35:14.707256 - step 201 of 216 - 6979 active elements (0 deactivated)
17:16:18 INFO    opendrift:2035: 2025-07-13 02:45:14.707256 - step 202 of 216 - 7014 active elements (0 deactivated)
17:16:18 INFO    opendrift:2035: 2025-07-13 02:55:14.707256 - step 203 of 216 - 7048 active elements (0 deactivated)
17:16:18 INFO    opendrift:2035: 2025-07-13 03:05:14.707256 - step 204 of 216 - 7083 active elements (0 deactivated)
17:16:20 INFO    opendrift:2035: 2025-07-13 03:15:14.707256 - step 205 of 216 - 7118 active elements (0 deactivated)
17:16:20 INFO    opendrift:2035: 2025-07-13 03:25:14.707256 - step 206 of 216 - 7153 active elements (0 deactivated)
17:16:20 INFO    opendrift:2035: 2025-07-13 03:35:14.707256 - step 207 of 216 - 7187 active elements (0 deactivated)
17:16:20 INFO    opendrift:2035: 2025-07-13 03:45:14.707256 - step 208 of 216 - 7222 active elements (0 deactivated)
17:16:21 INFO    opendrift:2035: 2025-07-13 03:55:14.707256 - step 209 of 216 - 7257 active elements (0 deactivated)
17:16:21 INFO    opendrift:2035: 2025-07-13 04:05:14.707256 - step 210 of 216 - 7291 active elements (0 deactivated)
17:16:22 INFO    opendrift:2035: 2025-07-13 04:15:14.707256 - step 211 of 216 - 7326 active elements (0 deactivated)
17:16:22 INFO    opendrift:2035: 2025-07-13 04:25:14.707256 - step 212 of 216 - 7361 active elements (0 deactivated)
17:16:22 INFO    opendrift:2035: 2025-07-13 04:35:14.707256 - step 213 of 216 - 7396 active elements (0 deactivated)
17:16:23 INFO    opendrift:2035: 2025-07-13 04:45:14.707256 - step 214 of 216 - 7430 active elements (0 deactivated)
17:16:23 INFO    opendrift:2035: 2025-07-13 04:55:14.707256 - step 215 of 216 - 7465 active elements (0 deactivated)
17:16:23 INFO    opendrift:2035: 2025-07-13 05:05:14.707256 - step 216 of 216 - 7500 active elements (0 deactivated)
17:16:24 INFO    opendrift:2142: 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]
    2025-07-11T17:15:14.707256 ... 2...

    standard_name :

    time

    long_name :

    time

    dtype :

    <class 'numpy.float64'>

    array(['2025-07-11T17:15:14.707256000', '2025-07-11T17:45:14.707256000',
           '2025-07-11T18:15:14.707256000', '2025-07-11T18:45:14.707256000',
           '2025-07-11T19:15:14.707256000', '2025-07-11T19:45:14.707256000',
           '2025-07-11T20:15:14.707256000', '2025-07-11T20:45:14.707256000',
           '2025-07-11T21:15:14.707256000', '2025-07-11T21:45:14.707256000',
           '2025-07-11T22:15:14.707256000', '2025-07-11T22:45:14.707256000',
           '2025-07-11T23:15:14.707256000', '2025-07-11T23:45:14.707256000',
           '2025-07-12T00:15:14.707256000', '2025-07-12T00:45:14.707256000',
           '2025-07-12T01:15:14.707256000', '2025-07-12T01:45:14.707256000',
           '2025-07-12T02:15:14.707256000', '2025-07-12T02:45:14.707256000',
           '2025-07-12T03:15:14.707256000', '2025-07-12T03:45:14.707256000',
           '2025-07-12T04:15:14.707256000', '2025-07-12T04:45:14.707256000',
           '2025-07-12T05:15:14.707256000', '2025-07-12T05:45:14.707256000',
           '2025-07-12T06:15:14.707256000', '2025-07-12T06:45:14.707256000',
           '2025-07-12T07:15:14.707256000', '2025-07-12T07:45:14.707256000',
           '2025-07-12T08:15:14.707256000', '2025-07-12T08:45:14.707256000',
           '2025-07-12T09:15:14.707256000', '2025-07-12T09:45:14.707256000',
           '2025-07-12T10:15:14.707256000', '2025-07-12T10:45:14.707256000',
           '2025-07-12T11:15:14.707256000', '2025-07-12T11:45:14.707256000',
           '2025-07-12T12:15:14.707256000', '2025-07-12T12:45:14.707256000',
           '2025-07-12T13:15:14.707256000', '2025-07-12T13:45:14.707256000',
           '2025-07-12T14:15:14.707256000', '2025-07-12T14:45:14.707256000',
           '2025-07-12T15:15:14.707256000', '2025-07-12T15:45:14.707256000',
           '2025-07-12T16:15:14.707256000', '2025-07-12T16:45:14.707256000',
           '2025-07-12T17:15:14.707256000', '2025-07-12T17:45:14.707256000',
           '2025-07-12T18:15:14.707256000', '2025-07-12T18:45:14.707256000',
           '2025-07-12T19:15:14.707256000', '2025-07-12T19:45:14.707256000',
           '2025-07-12T20:15:14.707256000', '2025-07-12T20:45:14.707256000',
           '2025-07-12T21:15:14.707256000', '2025-07-12T21:45:14.707256000',
           '2025-07-12T22:15:14.707256000', '2025-07-12T22:45:14.707256000',
           '2025-07-12T23:15:14.707256000', '2025-07-12T23:45:14.707256000',
           '2025-07-13T00:15:14.707256000', '2025-07-13T00:45:14.707256000',
           '2025-07-13T01:15:14.707256000', '2025-07-13T01:45:14.707256000',
           '2025-07-13T02:15:14.707256000', '2025-07-13T02:45:14.707256000',
           '2025-07-13T03:15:14.707256000', '2025-07-13T03:45:14.707256000',
           '2025-07-13T04:15:14.707256000', '2025-07-13T04:45:14.707256000',
           '2025-07-13T05:15:14.707256000'], 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 :

    10.665678

    maxval :

    11.155818

    array([[10.96292 , 10.974675, 10.976059, ..., 10.760935, 10.747924,
            10.741989],
           [10.96292 , 10.976031, 10.976031, ..., 11.143216, 11.145225,
            11.140032],
           [10.96292 , 10.976049, 10.976049, ..., 10.915162, 10.91446 ,
            10.915133],
           ...,
           [      nan,       nan,       nan, ...,       nan,       nan,
            10.966579],
           [      nan,       nan,       nan, ...,       nan,       nan,
            10.967807],
           [      nan,       nan,       nan, ...,       nan,       nan,
            10.968126]], 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 :

    58.921783

    maxval :

    59.187336

    array([[59.169193, 59.167686, 59.167824, ..., 59.116695, 59.11688 ,
            59.1136  ],
           [59.169193, 59.16864 , 59.16864 , ..., 59.081974, 59.07678 ,
            59.068836],
           [59.169193, 59.166336, 59.166336, ..., 59.061527, 59.062435,
            59.06311 ],
           ...,
           [      nan,       nan,       nan, ...,       nan,       nan,
            59.168888],
           [      nan,       nan,       nan, ...,       nan,       nan,
            59.168846],
           [      nan,       nan,       nan, ...,       nan,       nan,
            59.168964]], 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
    0.8318 0.7404 0.2876 ... nan 0.5724

    minval :

    -1.1367906

    maxval :

    1.3931078

    array([[ 0.83179885,  0.7404224 ,  0.28764015, ..., -0.10771684,
            -0.15403701, -0.05670339],
           [ 0.5590198 ,  0.6075188 ,  0.8861777 , ...,  0.24894421,
            -0.0783112 , -0.15363988],
           [ 0.67473596,  0.6981655 ,  0.4888572 , ...,  0.19792977,
             0.02727941,  0.09159896],
           ...,
           [        nan,         nan,         nan, ...,         nan,
                    nan,  0.3720112 ],
           [        nan,         nan,         nan, ...,         nan,
                    nan,  0.4662858 ],
           [        nan,         nan,         nan, ...,         nan,
                    nan,  0.57243216]], shape=(7500, 73), dtype=float32)

  • y_sea_water_velocity
    (trajectory, time)
    float32
    -0.1403 -0.4148 ... nan -0.06205

    minval :

    -1.3292378

    maxval :

    1.1073143

    array([[-0.14029908, -0.41476828, -0.11855532, ...,  0.07233856,
            -0.30778837, -0.09236589],
           [ 0.07448927, -0.23692301, -0.15038338, ..., -0.53322774,
            -0.26329187, -0.8017285 ],
           [ 0.0689071 , -0.24971205, -0.30771893, ...,  0.00918072,
             0.1299273 ,  0.07316671],
           ...,
           [        nan,         nan,         nan, ...,         nan,
                    nan, -0.06850373],
           [        nan,         nan,         nan, ...,         nan,
                    nan, -0.05304281],
           [        nan,         nan,         nan, ...,         nan,
                    nan, -0.06205229]], shape=(7500, 73), dtype=float32)

  • sea_surface_height
    (trajectory, time)
    float32
    -0.1076 -0.1467 ... nan -0.06694

    minval :

    -0.44310182

    maxval :

    0.013290905

    array([[-0.1075945 , -0.14665733, -0.17956701, ..., -0.04102385,
            -0.05882283, -0.07158596],
           [-0.1075945 , -0.14690323, -0.17877571, ..., -0.0449164 ,
            -0.06433637, -0.07729908],
           [-0.1075945 , -0.147734  , -0.1789509 , ..., -0.05291473,
            -0.06563983, -0.08136456],
           ...,
           [        nan,         nan,         nan, ...,         nan,
                    nan, -0.06693615],
           [        nan,         nan,         nan, ...,         nan,
                    nan, -0.06693615],
           [        nan,         nan,         nan, ...,         nan,
                    nan, -0.06693615]], shape=(7500, 73), dtype=float32)

  • upward_sea_water_velocity
    (trajectory, time)
    float32
    -2.49e-05 -1.535e-05 ... -1.77e-05

    minval :

    -6.048447e-05

    maxval :

    4.2124957e-05

    array([[-2.4896513e-05, -1.5345644e-05, -2.1465574e-05, ...,
            -7.4052732e-06, -1.1538908e-05, -1.3566751e-05],
           [-2.4896513e-05, -1.5629856e-05, -1.9162428e-05, ...,
            -8.3112291e-06, -8.3776613e-06, -9.3754425e-06],
           [-2.4896513e-05, -1.5541253e-05, -1.9173442e-05, ...,
            -6.2016757e-06, -1.0638670e-05, -1.2991853e-05],
           ...,
           [           nan,            nan,            nan, ...,
                       nan,            nan, -1.7699800e-05],
           [           nan,            nan,            nan, ...,
                       nan,            nan, -1.7699800e-05],
           [           nan,            nan,            nan, ...,
                       nan,            nan, -1.7699800e-05]],
          shape=(7500, 73), dtype=float32)

  • x_wind
    (trajectory, time)
    float32
    -1.124 -4.482 -2.672 ... nan -3.806

    minval :

    -13.317183

    maxval :

    8.592183

    array([[-1.1237206 , -4.481868  , -2.6722078 , ..., -0.9074573 ,
            -5.8289347 , -4.4247136 ],
           [-2.323936  , -4.1464677 , -6.413137  , ..., -3.0317926 ,
            -4.8092074 , -5.048993  ],
           [-0.3031004 , -4.5969214 , -0.7861481 , ..., -1.9839181 ,
            -2.8581417 ,  0.13648891],
           ...,
           [        nan,         nan,         nan, ...,         nan,
                    nan, -1.1579708 ],
           [        nan,         nan,         nan, ...,         nan,
                    nan, -0.02437628],
           [        nan,         nan,         nan, ...,         nan,
                    nan, -3.8064387 ]], shape=(7500, 73), dtype=float32)

  • y_wind
    (trajectory, time)
    float32
    1.708 -2.224 -2.176 ... nan 0.9669

    minval :

    -14.628988

    maxval :

    9.129453

    array([[ 1.7080214 , -2.224374  , -2.1755848 , ..., -0.7808304 ,
             0.41920978, -3.2906916 ],
           [-3.0064588 , -3.8863392 , -2.8911326 , ...,  0.05176299,
            -0.4520173 , -1.6031532 ],
           [-3.6741304 , -5.131584  , -0.08166113, ...,  0.14535737,
            -3.228799  , -0.6472357 ],
           ...,
           [        nan,         nan,         nan, ...,         nan,
                    nan,  0.59012055],
           [        nan,         nan,         nan, ...,         nan,
                    nan, -0.5712296 ],
           [        nan,         nan,         nan, ...,         nan,
                    nan,  0.96685135]], 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
    1.747 4.275 2.944 ... nan nan 3.356

    minval :

    0.009300132

    maxval :

    13.072614

    array([[1.746987 , 4.2753406, 2.9443753, ..., 1.0229318, 4.9935174,
            4.711748 ],
           [3.246929 , 4.855982 , 6.0109425, ..., 2.5909555, 4.1274376,
            4.526471 ],
           [3.1501012, 5.8868523, 0.6753548, ..., 1.6997436, 3.6845536,
            0.5652071],
           ...,
           [      nan,       nan,       nan, ...,       nan,       nan,
            1.1105287],
           [      nan,       nan,       nan, ...,       nan,       nan,
            0.4885431],
           [      nan,       nan,       nan, ...,       nan,       nan,
            3.3557725]], 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 6.978 6.797 ... nan nan 6.592

    minval :

    5.0

    maxval :

    226.29836

    array([[ 6.59209  ,  6.97757  ,  6.797288 , ..., 79.37158  , 87.18001  ,
            88.417816 ],
           [ 6.59209  ,  6.7351747,  7.234668 , ..., 39.681984 , 42.12424  ,
            43.010254 ],
           [ 6.59209  ,  7.16057  ,  7.265951 , ...,  5.       ,  5.       ,
             5.       ],
           ...,
           [       nan,        nan,        nan, ...,        nan,        nan,
             6.592038 ],
           [       nan,        nan,        nan, ...,        nan,        nan,
             6.592038 ],
           [       nan,        nan,        nan, ...,        nan,        nan,
             6.592038 ]], 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(['2025-07-11 17:15:14.707256', '2025-07-11 17:45:14.707256',
                   '2025-07-11 18:15:14.707256', '2025-07-11 18:45:14.707256',
                   '2025-07-11 19:15:14.707256', '2025-07-11 19:45:14.707256',
                   '2025-07-11 20:15:14.707256', '2025-07-11 20:45:14.707256',
                   '2025-07-11 21:15:14.707256', '2025-07-11 21:45:14.707256',
                   '2025-07-11 22:15:14.707256', '2025-07-11 22:45:14.707256',
                   '2025-07-11 23:15:14.707256', '2025-07-11 23:45:14.707256',
                   '2025-07-12 00:15:14.707256', '2025-07-12 00:45:14.707256',
                   '2025-07-12 01:15:14.707256', '2025-07-12 01:45:14.707256',
                   '2025-07-12 02:15:14.707256', '2025-07-12 02:45:14.707256',
                   '2025-07-12 03:15:14.707256', '2025-07-12 03:45:14.707256',
                   '2025-07-12 04:15:14.707256', '2025-07-12 04:45:14.707256',
                   '2025-07-12 05:15:14.707256', '2025-07-12 05:45:14.707256',
                   '2025-07-12 06:15:14.707256', '2025-07-12 06:45:14.707256',
                   '2025-07-12 07:15:14.707256', '2025-07-12 07:45:14.707256',
                   '2025-07-12 08:15:14.707256', '2025-07-12 08:45:14.707256',
                   '2025-07-12 09:15:14.707256', '2025-07-12 09:45:14.707256',
                   '2025-07-12 10:15:14.707256', '2025-07-12 10:45:14.707256',
                   '2025-07-12 11:15:14.707256', '2025-07-12 11:45:14.707256',
                   '2025-07-12 12:15:14.707256', '2025-07-12 12:45:14.707256',
                   '2025-07-12 13:15:14.707256', '2025-07-12 13:45:14.707256',
                   '2025-07-12 14:15:14.707256', '2025-07-12 14:45:14.707256',
                   '2025-07-12 15:15:14.707256', '2025-07-12 15:45:14.707256',
                   '2025-07-12 16:15:14.707256', '2025-07-12 16:45:14.707256',
                   '2025-07-12 17:15:14.707256', '2025-07-12 17:45:14.707256',
                   '2025-07-12 18:15:14.707256', '2025-07-12 18:45:14.707256',
                   '2025-07-12 19:15:14.707256', '2025-07-12 19:45:14.707256',
                   '2025-07-12 20:15:14.707256', '2025-07-12 20:45:14.707256',
                   '2025-07-12 21:15:14.707256', '2025-07-12 21:45:14.707256',
                   '2025-07-12 22:15:14.707256', '2025-07-12 22:45:14.707256',
                   '2025-07-12 23:15:14.707256', '2025-07-12 23:45:14.707256',
                   '2025-07-13 00:15:14.707256', '2025-07-13 00:45:14.707256',
                   '2025-07-13 01:15:14.707256', '2025-07-13 01:45:14.707256',
                   '2025-07-13 02:15:14.707256', '2025-07-13 02:45:14.707256',
                   '2025-07-13 03:15:14.707256', '2025-07-13 03:45:14.707256',
                   '2025-07-13 04:15:14.707256', '2025-07-13 04:45:14.707256',
                   '2025-07-13 05:15:14.707256'],
                  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 2025-07-11 17:15:19.330790

  date_created :

  2025-07-11T17:15:19.330810

  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 :

  2025-07-11 17:15:14.707256

  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 :

  2025-07-11 17:15:19.403223

  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 :

  2025-07-13 05:15:14.707256

  time_coverage_duration :

  P1DT12H0M0S

  time_coverage_resolution :

  P0DT0H10M0S

  performance :

  -------------------- Reader performance: -------------------- global_landmask 0:00:04.4 total 0:00:00.0 preparing 0:00:04.4 reading 0:00:00.0 masking -------------------- https://thredds.met.no/thredds/dodsC/sea/norkyst800m/1h/aggregate_be 0:00:49.5 total 0:00:00.0 preparing 0:00:46.6 reading 0:00:02.4 interpolation 0:00:00.1 interpolation_time 0:00:02.8 rotating vectors 0:00:00.0 masking -------------------- Performance: 1:10.1 total time 4.6 configuration 0.1 preparing main loop 0.0 moving elements to ocean 1:05.3 main loop 4.5 updating elements 3.5 vertical mixing 0.0 cleaning up --------------------

  geospatial_bounds_crs :

  EPSG:4326

  geospatial_bounds_vertical_crs :

  EPSG:5831

  geospatial_lat_min :

  58.921783

  geospatial_lat_max :

  59.187336

  geospatial_lat_units :

  degrees_north

  geospatial_lat_resolution :

  point

  geospatial_lon_min :

  10.665678

  geospatial_lon_max :

  11.155818

  geospatial_lon_units :

  degrees_east

  geospatial_lon_resolution :

  point

  runtime :

  0:01:10.136596

  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'])

17:16:37 INFO    opendrift:4553: Saving animation to /root/project/docs/source/gallery/animations/example_sediments_0.gif...
17:17:22 INFO    opendrift:2994: Time to make animation: 0:00:54.678013