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'])

15:33:20 INFO    opendrift:509: OpenDriftSimulation initialised (version 1.14.0 / v1.14.0-6-gaedbab0)

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)],
15:33:20 INFO    opendrift.models.basemodel.environment:206: Adding a global landmask from GSHHG
15:33:24 INFO    opendrift.models.basemodel.environment:229: Fallback values will be used for the following variables which have no readers:
15:33:24 INFO    opendrift.models.basemodel.environment:232:    x_sea_water_velocity: 0.000000
15:33:24 INFO    opendrift.models.basemodel.environment:232:    y_sea_water_velocity: 0.000000
15:33:24 INFO    opendrift.models.basemodel.environment:232:    sea_surface_height: 0.000000
15:33:24 INFO    opendrift.models.basemodel.environment:232:    upward_sea_water_velocity: 0.000000
15:33:24 INFO    opendrift.models.basemodel.environment:232:    x_wind: 0.000000
15:33:24 INFO    opendrift.models.basemodel.environment:232:    y_wind: 0.000000
15:33:24 INFO    opendrift.models.basemodel.environment:232:    sea_surface_wave_stokes_drift_x_velocity: 0.000000
15:33:24 INFO    opendrift.models.basemodel.environment:232:    sea_surface_wave_stokes_drift_y_velocity: 0.000000
15:33:24 INFO    opendrift.models.basemodel.environment:232:    sea_surface_wave_period_at_variance_spectral_density_maximum: 0.000000
15:33:24 INFO    opendrift.models.basemodel.environment:232:    sea_surface_wave_mean_period_from_variance_spectral_density_second_frequency_moment: 0.000000
15:33:24 INFO    opendrift.models.basemodel.environment:232:    ocean_vertical_diffusivity: 0.020000
15:33:24 INFO    opendrift.models.basemodel.environment:232:    ocean_mixed_layer_thickness: 50.000000
15:33:24 INFO    opendrift.models.basemodel.environment:232:    sea_floor_depth_below_sea_level: 10000.000000
15:33:24 INFO    opendrift:907: Using existing reader for land_binary_mask
15:33:24 INFO    opendrift:936: All points are in ocean
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15:33:24 INFO    opendrift.readers:61: Opening file with xr.open_dataset
15:33:26 INFO    opendrift.readers.reader_netCDF_CF_generic:332: Detected dimensions: {'x': 'X', 'y': 'Y', 'z': 'depth', 'time': 'time'}
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15:36:20 INFO    opendrift:2102: 2025-05-17 17:03:20.094165 - step 154 of 216 - 5347 active elements (0 deactivated)
15:36:21 INFO    opendrift:2102: 2025-05-17 17:13:20.094165 - step 155 of 216 - 5382 active elements (0 deactivated)
15:36:22 INFO    opendrift:2102: 2025-05-17 17:23:20.094165 - step 156 of 216 - 5417 active elements (0 deactivated)
15:36:23 INFO    opendrift:2102: 2025-05-17 17:33:20.094165 - step 157 of 216 - 5451 active elements (0 deactivated)
15:36:24 INFO    opendrift:2102: 2025-05-17 17:43:20.094165 - step 158 of 216 - 5486 active elements (0 deactivated)
15:36:26 INFO    opendrift:2102: 2025-05-17 17:53:20.094165 - step 159 of 216 - 5521 active elements (0 deactivated)
15:36:27 INFO    opendrift:2102: 2025-05-17 18:03:20.094165 - step 160 of 216 - 5556 active elements (0 deactivated)
15:36:28 INFO    opendrift:2102: 2025-05-17 18:13:20.094165 - step 161 of 216 - 5590 active elements (0 deactivated)
15:36:29 INFO    opendrift:2102: 2025-05-17 18:23:20.094165 - step 162 of 216 - 5625 active elements (0 deactivated)
15:36:31 INFO    opendrift:2102: 2025-05-17 18:33:20.094165 - step 163 of 216 - 5660 active elements (0 deactivated)
15:36:32 INFO    opendrift:2102: 2025-05-17 18:43:20.094165 - step 164 of 216 - 5694 active elements (0 deactivated)
15:36:33 INFO    opendrift:2102: 2025-05-17 18:53:20.094165 - step 165 of 216 - 5729 active elements (0 deactivated)
15:36:34 INFO    opendrift:2102: 2025-05-17 19:03:20.094165 - step 166 of 216 - 5764 active elements (0 deactivated)
15:36:35 INFO    opendrift:2102: 2025-05-17 19:13:20.094165 - step 167 of 216 - 5799 active elements (0 deactivated)
15:36:37 INFO    opendrift:2102: 2025-05-17 19:23:20.094165 - step 168 of 216 - 5833 active elements (0 deactivated)
15:36:38 INFO    opendrift:2102: 2025-05-17 19:33:20.094165 - step 169 of 216 - 5868 active elements (0 deactivated)
15:36:39 INFO    opendrift:2102: 2025-05-17 19:43:20.094165 - step 170 of 216 - 5903 active elements (0 deactivated)
15:36:40 INFO    opendrift:2102: 2025-05-17 19:53:20.094165 - step 171 of 216 - 5937 active elements (0 deactivated)
15:36:42 INFO    opendrift:2102: 2025-05-17 20:03:20.094165 - step 172 of 216 - 5972 active elements (0 deactivated)
15:36:43 INFO    opendrift:2102: 2025-05-17 20:13:20.094165 - step 173 of 216 - 6007 active elements (0 deactivated)
15:36:44 INFO    opendrift:2102: 2025-05-17 20:23:20.094165 - step 174 of 216 - 6042 active elements (0 deactivated)
15:36:45 INFO    opendrift:2102: 2025-05-17 20:33:20.094165 - step 175 of 216 - 6076 active elements (0 deactivated)
15:36:46 INFO    opendrift:2102: 2025-05-17 20:43:20.094165 - step 176 of 216 - 6111 active elements (0 deactivated)
15:36:47 INFO    opendrift:2102: 2025-05-17 20:53:20.094165 - step 177 of 216 - 6146 active elements (0 deactivated)
15:36:49 INFO    opendrift:2102: 2025-05-17 21:03:20.094165 - step 178 of 216 - 6180 active elements (0 deactivated)
15:36:50 INFO    opendrift:2102: 2025-05-17 21:13:20.094165 - step 179 of 216 - 6215 active elements (0 deactivated)
15:36:51 INFO    opendrift:2102: 2025-05-17 21:23:20.094165 - step 180 of 216 - 6250 active elements (0 deactivated)
15:36:52 INFO    opendrift:2102: 2025-05-17 21:33:20.094165 - step 181 of 216 - 6285 active elements (0 deactivated)
15:36:53 INFO    opendrift:2102: 2025-05-17 21:43:20.094165 - step 182 of 216 - 6319 active elements (0 deactivated)
15:36:55 INFO    opendrift:2102: 2025-05-17 21:53:20.094165 - step 183 of 216 - 6354 active elements (0 deactivated)
15:36:56 INFO    opendrift:2102: 2025-05-17 22:03:20.094165 - step 184 of 216 - 6389 active elements (0 deactivated)
15:36:58 INFO    opendrift:2102: 2025-05-17 22:13:20.094165 - step 185 of 216 - 6423 active elements (0 deactivated)
15:36:59 INFO    opendrift:2102: 2025-05-17 22:23:20.094165 - step 186 of 216 - 6458 active elements (0 deactivated)
15:37:00 INFO    opendrift:2102: 2025-05-17 22:33:20.094165 - step 187 of 216 - 6493 active elements (0 deactivated)
15:37:01 INFO    opendrift:2102: 2025-05-17 22:43:20.094165 - step 188 of 216 - 6528 active elements (0 deactivated)
15:37:02 INFO    opendrift:2102: 2025-05-17 22:53:20.094165 - step 189 of 216 - 6562 active elements (0 deactivated)
15:37:04 INFO    opendrift:2102: 2025-05-17 23:03:20.094165 - step 190 of 216 - 6597 active elements (0 deactivated)
15:37:05 INFO    opendrift:2102: 2025-05-17 23:13:20.094165 - step 191 of 216 - 6632 active elements (0 deactivated)
15:37:06 INFO    opendrift:2102: 2025-05-17 23:23:20.094165 - step 192 of 216 - 6667 active elements (0 deactivated)
15:37:07 INFO    opendrift:2102: 2025-05-17 23:33:20.094165 - step 193 of 216 - 6701 active elements (0 deactivated)
15:37:08 INFO    opendrift:2102: 2025-05-17 23:43:20.094165 - step 194 of 216 - 6736 active elements (0 deactivated)
15:37:09 INFO    opendrift:2102: 2025-05-17 23:53:20.094165 - step 195 of 216 - 6771 active elements (0 deactivated)
15:37:11 INFO    opendrift:2102: 2025-05-18 00:03:20.094165 - step 196 of 216 - 6805 active elements (0 deactivated)
15:37:12 INFO    opendrift:2102: 2025-05-18 00:13:20.094165 - step 197 of 216 - 6840 active elements (0 deactivated)
15:37:13 INFO    opendrift:2102: 2025-05-18 00:23:20.094165 - step 198 of 216 - 6875 active elements (0 deactivated)
15:37:15 INFO    opendrift:2102: 2025-05-18 00:33:20.094165 - step 199 of 216 - 6910 active elements (0 deactivated)
15:37:16 INFO    opendrift:2102: 2025-05-18 00:43:20.094165 - step 200 of 216 - 6944 active elements (0 deactivated)
15:37:17 INFO    opendrift:2102: 2025-05-18 00:53:20.094165 - step 201 of 216 - 6979 active elements (0 deactivated)
15:37:19 INFO    opendrift:2102: 2025-05-18 01:03:20.094165 - step 202 of 216 - 7014 active elements (0 deactivated)
15:37:21 INFO    opendrift:2102: 2025-05-18 01:13:20.094165 - step 203 of 216 - 7048 active elements (0 deactivated)
15:37:22 INFO    opendrift:2102: 2025-05-18 01:23:20.094165 - step 204 of 216 - 7083 active elements (0 deactivated)
15:37:23 INFO    opendrift:2102: 2025-05-18 01:33:20.094165 - step 205 of 216 - 7118 active elements (0 deactivated)
15:37:24 INFO    opendrift:2102: 2025-05-18 01:43:20.094165 - step 206 of 216 - 7153 active elements (0 deactivated)
15:37:25 INFO    opendrift:2102: 2025-05-18 01:53:20.094165 - step 207 of 216 - 7187 active elements (0 deactivated)
15:37:27 INFO    opendrift:2102: 2025-05-18 02:03:20.094165 - step 208 of 216 - 7222 active elements (0 deactivated)
15:37:28 INFO    opendrift:2102: 2025-05-18 02:13:20.094165 - step 209 of 216 - 7257 active elements (0 deactivated)
15:37:29 INFO    opendrift:2102: 2025-05-18 02:23:20.094165 - step 210 of 216 - 7291 active elements (0 deactivated)
15:37:30 INFO    opendrift:2102: 2025-05-18 02:33:20.094165 - step 211 of 216 - 7326 active elements (0 deactivated)
15:37:31 INFO    opendrift:2102: 2025-05-18 02:43:20.094165 - step 212 of 216 - 7361 active elements (0 deactivated)
15:37:33 INFO    opendrift:2102: 2025-05-18 02:53:20.094165 - step 213 of 216 - 7396 active elements (0 deactivated)
15:37:34 INFO    opendrift:2102: 2025-05-18 03:03:20.094165 - step 214 of 216 - 7430 active elements (0 deactivated)
15:37:36 INFO    opendrift:2102: 2025-05-18 03:13:20.094165 - step 215 of 216 - 7465 active elements (0 deactivated)
15:37:37 INFO    opendrift:2102: 2025-05-18 03:23:20.094165 - step 216 of 216 - 7500 active elements (0 deactivated)
15:37:37 INFO    opendrift:2234: 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]
    2025-05-16T15:33:20.094165 ... 2...

    standard_name :

    time

    long_name :

    time

    dtype :

    <class 'numpy.float64'>

    array(['2025-05-16T15:33:20.094165000', '2025-05-16T16:03:20.094165000',
           '2025-05-16T16:33:20.094165000', '2025-05-16T17:03:20.094165000',
           '2025-05-16T17:33:20.094165000', '2025-05-16T18:03:20.094165000',
           '2025-05-16T18:33:20.094165000', '2025-05-16T19:03:20.094165000',
           '2025-05-16T19:33:20.094165000', '2025-05-16T20:03:20.094165000',
           '2025-05-16T20:33:20.094165000', '2025-05-16T21:03:20.094165000',
           '2025-05-16T21:33:20.094165000', '2025-05-16T22:03:20.094165000',
           '2025-05-16T22:33:20.094165000', '2025-05-16T23:03:20.094165000',
           '2025-05-16T23:33:20.094165000', '2025-05-17T00:03:20.094165000',
           '2025-05-17T00:33:20.094165000', '2025-05-17T01:03:20.094165000',
           '2025-05-17T01:33:20.094165000', '2025-05-17T02:03:20.094165000',
           '2025-05-17T02:33:20.094165000', '2025-05-17T03:03:20.094165000',
           '2025-05-17T03:33:20.094165000', '2025-05-17T04:03:20.094165000',
           '2025-05-17T04:33:20.094165000', '2025-05-17T05:03:20.094165000',
           '2025-05-17T05:33:20.094165000', '2025-05-17T06:03:20.094165000',
           '2025-05-17T06:33:20.094165000', '2025-05-17T07:03:20.094165000',
           '2025-05-17T07:33:20.094165000', '2025-05-17T08:03:20.094165000',
           '2025-05-17T08:33:20.094165000', '2025-05-17T09:03:20.094165000',
           '2025-05-17T09:33:20.094165000', '2025-05-17T10:03:20.094165000',
           '2025-05-17T10:33:20.094165000', '2025-05-17T11:03:20.094165000',
           '2025-05-17T11:33:20.094165000', '2025-05-17T12:03:20.094165000',
           '2025-05-17T12:33:20.094165000', '2025-05-17T13:03:20.094165000',
           '2025-05-17T13:33:20.094165000', '2025-05-17T14:03:20.094165000',
           '2025-05-17T14:33:20.094165000', '2025-05-17T15:03:20.094165000',
           '2025-05-17T15:33:20.094165000', '2025-05-17T16:03:20.094165000',
           '2025-05-17T16:33:20.094165000', '2025-05-17T17:03:20.094165000',
           '2025-05-17T17:33:20.094165000', '2025-05-17T18:03:20.094165000',
           '2025-05-17T18:33:20.094165000', '2025-05-17T19:03:20.094165000',
           '2025-05-17T19:33:20.094165000', '2025-05-17T20:03:20.094165000',
           '2025-05-17T20:33:20.094165000', '2025-05-17T21:03:20.094165000',
           '2025-05-17T21:33:20.094165000', '2025-05-17T22:03:20.094165000',
           '2025-05-17T22:33:20.094165000', '2025-05-17T23:03:20.094165000',
           '2025-05-17T23:33:20.094165000', '2025-05-18T00:03:20.094165000',
           '2025-05-18T00:33:20.094165000', '2025-05-18T01:03:20.094165000',
           '2025-05-18T01:33:20.094165000', '2025-05-18T02:03:20.094165000',
           '2025-05-18T02:33:20.094165000', '2025-05-18T03:03:20.094165000',
           '2025-05-18T03:33:20.094165000'], 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 :

    0

    maxval :

    1

    array([[ 1.,  1.,  1., ...,  1.,  1.,  1.],
           [ 1.,  1.,  1., ...,  1.,  1.,  1.],
           [ 1.,  1.,  0., ...,  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 :

    10.924481

    maxval :

    11.039125

    array([[10.96292 , 10.977981, 10.979166, ..., 10.992383, 10.994249,
            10.996988],
           [10.96292 , 10.972975, 10.975226, ..., 10.969087, 10.970346,
            10.966875],
           [10.96292 , 10.969556, 10.972348, ..., 10.998024, 11.001072,
            10.999833],
           ...,
           [      nan,       nan,       nan, ...,       nan,       nan,
            10.965341],
           [      nan,       nan,       nan, ...,       nan,       nan,
            10.966567],
           [      nan,       nan,       nan, ...,       nan,       nan,
            10.966887]], 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 :

    59.102657

    maxval :

    59.188633

    array([[59.169193, 59.16863 , 59.168858, ..., 59.169857, 59.169884,
            59.16677 ],
           [59.169193, 59.171284, 59.16906 , ..., 59.13429 , 59.131683,
            59.127968],
           [59.169193, 59.168713, 59.170017, ..., 59.132885, 59.13631 ,
            59.138954],
           ...,
           [      nan,       nan,       nan, ...,       nan,       nan,
            59.169178],
           [      nan,       nan,       nan, ...,       nan,       nan,
            59.169136],
           [      nan,       nan,       nan, ...,       nan,       nan,
            59.16925 ]], shape=(7500, 73), dtype=float32)

  • z
    (trajectory, time)
    float32
    0.0 -4.925 -6.493 ... nan -0.8287

    dtype :

    <class 'numpy.float32'>

    units :

    m

    standard_name :

    z

    long_name :

    vertical position

    axis :

    Z

    positive :

    up

    minval :

    -14.491534

    maxval :

    0.0

    array([[  0.       ,  -4.9246707,  -6.493244 , ...,  -6.0586076,
             -5.9140124,  -4.2847276],
           [  0.       ,  -3.4357903,  -4.7555866, ...,  -2.8206708,
            -10.13498  , -12.738222 ],
           [  0.       ,  -6.5897856,  -6.399651 , ..., -11.26027  ,
            -11.249688 ,  -7.2346725],
           ...,
           [        nan,         nan,         nan, ...,         nan,
                    nan,  -0.9750295],
           [        nan,         nan,         nan, ...,         nan,
                    nan,  -0.829308 ],
           [        nan,         nan,         nan, ...,         nan,
                    nan,  -0.8286625]], 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
    0.7248 0.113 -0.4106 ... nan 0.4111

    minval :

    -1.0414928

    maxval :

    1.1378628

    array([[ 0.7248212 ,  0.11297743, -0.41062337, ...,  0.16742204,
             0.03643812,  0.10255463],
           [ 0.4520422 ,  0.01857089,  0.38877505, ...,  0.13597777,
            -0.14266106, -0.18758819],
           [ 0.5677583 ,  0.18419044,  0.01990207, ...,  0.21212089,
             0.07494819,  0.11359023],
           ...,
           [        nan,         nan,         nan, ...,         nan,
                    nan,  0.21070312],
           [        nan,         nan,         nan, ...,         nan,
                    nan,  0.3049777 ],
           [        nan,         nan,         nan, ...,         nan,
                    nan,  0.41112405]], shape=(7500, 73), dtype=float32)

  • y_sea_water_velocity
    (trajectory, time)
    float32
    -0.03085 0.04264 ... nan 0.003205

    minval :

    -1.066879

    maxval :

    0.8896607

    array([[-0.03085119,  0.04263903,  0.26274344, ..., -0.00951586,
            -0.3418529 , -0.07384189],
           [ 0.18393715,  0.11973664,  0.27762148, ..., -0.42252532,
            -0.04295715, -0.61061114],
           [ 0.17835498,  0.18185528,  0.11229794, ...,  0.02540064,
             0.19143684,  0.05197554],
           ...,
           [        nan,         nan,         nan, ...,         nan,
                    nan, -0.00324655],
           [        nan,         nan,         nan, ...,         nan,
                    nan,  0.01221436],
           [        nan,         nan,         nan, ...,         nan,
                    nan,  0.00320489]], shape=(7500, 73), dtype=float32)

  • sea_surface_height
    (trajectory, time)
    float32
    -0.2136 -0.1854 ... nan -0.3689

    minval :

    -0.5235549

    maxval :

    -0.15456033

    array([[-0.21362445, -0.18539473, -0.17323902, ..., -0.4365365 ,
            -0.39844507, -0.36802047],
           [-0.21362445, -0.1842683 , -0.17321655, ..., -0.44244072,
            -0.40476096, -0.37343332],
           [-0.21362445, -0.18517233, -0.17277047, ..., -0.45178905,
            -0.41452518, -0.38350362],
           ...,
           [        nan,         nan,         nan, ...,         nan,
                    nan, -0.36893368],
           [        nan,         nan,         nan, ...,         nan,
                    nan, -0.36893368],
           [        nan,         nan,         nan, ...,         nan,
                    nan, -0.36893368]], shape=(7500, 73), dtype=float32)

  • upward_sea_water_velocity
    (trajectory, time)
    float32
    4.37e-06 6.191e-07 ... 1.138e-05

    minval :

    -0.0001601032

    maxval :

    0.00072002294

    array([[4.36979008e-06, 6.19092873e-07, 1.15260946e-06, ...,
            3.85365711e-05, 5.18858214e-05, 5.82843240e-05],
           [4.36979008e-06, 1.24658627e-05, 4.90494676e-06, ...,
            2.74309768e-05, 4.75537890e-05, 4.11486908e-05],
           [4.36979008e-06, 1.27805242e-05, 9.47363696e-06, ...,
            3.56431046e-05, 4.95087770e-05, 6.57673372e-05],
           ...,
           [           nan,            nan,            nan, ...,
                       nan,            nan, 1.13827555e-05],
           [           nan,            nan,            nan, ...,
                       nan,            nan, 1.13827555e-05],
           [           nan,            nan,            nan, ...,
                       nan,            nan, 1.13827555e-05]],
          shape=(7500, 73), dtype=float32)

  • x_wind
    (trajectory, time)
    float32
    -0.1148 -3.488 ... nan -1.649

    minval :

    -11.911186

    maxval :

    8.340396

    array([[-0.11481167, -3.4878802 , -1.3115548 , ...,  1.8077797 ,
            -2.9882271 , -1.5676816 ],
           [-1.315027  , -3.1941097 , -5.1215286 , ..., -0.69692093,
            -1.5536786 , -1.5375842 ],
           [ 0.7058086 , -3.6536245 ,  0.48762944, ..., -0.6529266 ,
            -1.2345417 ,  2.0180514 ],
           ...,
           [        nan,         nan,         nan, ...,         nan,
                    nan,  0.9991573 ],
           [        nan,         nan,         nan, ...,         nan,
                    nan,  2.132752  ],
           [        nan,         nan,         nan, ...,         nan,
                    nan, -1.6493106 ]], shape=(7500, 73), dtype=float32)

  • y_wind
    (trajectory, time)
    float32
    -1.029 -5.44 -6.548 ... nan 0.3825

    minval :

    -15.165141

    maxval :

    8.54701

    array([[-1.0289063e+00, -5.4398642e+00, -6.5481358e+00, ...,
            -4.2560765e-01,  5.0885206e-01, -3.3731236e+00],
           [-5.7433867e+00, -7.0796132e+00, -7.2510018e+00, ...,
            -1.8631617e+00, -2.5396843e+00, -3.7746806e+00],
           [-6.4110584e+00, -8.3262606e+00, -4.4452486e+00, ...,
            -2.0045407e+00, -5.6843734e+00, -3.2434189e+00],
           ...,
           [           nan,            nan,            nan, ...,
                       nan,            nan,  5.7504307e-03],
           [           nan,            nan,            nan, ...,
                       nan,            nan, -1.1555997e+00],
           [           nan,            nan,            nan, ...,
                       nan,            nan,  3.8248122e-01]],
          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
    0.8846 5.522 5.706 ... nan 1.447

    minval :

    0.0042955484

    maxval :

    13.3384285

    array([[0.88462675, 5.521588  , 5.7063193 , ..., 1.5869267 , 2.5901077 ,
            3.1783078 ],
           [5.03455   , 6.636506  , 7.5854225 , ..., 1.6997459 , 2.5439577 ,
            3.4826756 ],
           [5.5111585 , 7.7693696 , 3.8211193 , ..., 1.8013927 , 4.9703603 ,
            3.2640662 ],
           ...,
           [       nan,        nan,        nan, ...,        nan,        nan,
            0.8537647 ],
           [       nan,        nan,        nan, ...,        nan,        nan,
            2.072693  ],
           [       nan,        nan,        nan, ...,        nan,        nan,
            1.4466864 ]], 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 6.713 6.684 ... nan nan 6.592

    minval :

    5.0

    maxval :

    15.377846

    array([[ 6.5920897,  6.712863 ,  6.6844835, ...,  6.495144 ,  6.481768 ,
             6.7269998],
           [ 6.5920897,  6.4990563,  6.686185 , ..., 12.966194 , 13.238792 ,
            13.312935 ],
           [ 6.5920897,  6.774958 ,  6.6109676, ..., 12.515282 , 11.913192 ,
            11.634832 ],
           ...,
           [       nan,        nan,        nan, ...,        nan,        nan,
             6.5920377],
           [       nan,        nan,        nan, ...,        nan,        nan,
             6.5920377],
           [       nan,        nan,        nan, ...,        nan,        nan,
             6.5920377]], 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(['2025-05-16 15:33:20.094165', '2025-05-16 16:03:20.094165',
                   '2025-05-16 16:33:20.094165', '2025-05-16 17:03:20.094165',
                   '2025-05-16 17:33:20.094165', '2025-05-16 18:03:20.094165',
                   '2025-05-16 18:33:20.094165', '2025-05-16 19:03:20.094165',
                   '2025-05-16 19:33:20.094165', '2025-05-16 20:03:20.094165',
                   '2025-05-16 20:33:20.094165', '2025-05-16 21:03:20.094165',
                   '2025-05-16 21:33:20.094165', '2025-05-16 22:03:20.094165',
                   '2025-05-16 22:33:20.094165', '2025-05-16 23:03:20.094165',
                   '2025-05-16 23:33:20.094165', '2025-05-17 00:03:20.094165',
                   '2025-05-17 00:33:20.094165', '2025-05-17 01:03:20.094165',
                   '2025-05-17 01:33:20.094165', '2025-05-17 02:03:20.094165',
                   '2025-05-17 02:33:20.094165', '2025-05-17 03:03:20.094165',
                   '2025-05-17 03:33:20.094165', '2025-05-17 04:03:20.094165',
                   '2025-05-17 04:33:20.094165', '2025-05-17 05:03:20.094165',
                   '2025-05-17 05:33:20.094165', '2025-05-17 06:03:20.094165',
                   '2025-05-17 06:33:20.094165', '2025-05-17 07:03:20.094165',
                   '2025-05-17 07:33:20.094165', '2025-05-17 08:03:20.094165',
                   '2025-05-17 08:33:20.094165', '2025-05-17 09:03:20.094165',
                   '2025-05-17 09:33:20.094165', '2025-05-17 10:03:20.094165',
                   '2025-05-17 10:33:20.094165', '2025-05-17 11:03:20.094165',
                   '2025-05-17 11:33:20.094165', '2025-05-17 12:03:20.094165',
                   '2025-05-17 12:33:20.094165', '2025-05-17 13:03:20.094165',
                   '2025-05-17 13:33:20.094165', '2025-05-17 14:03:20.094165',
                   '2025-05-17 14:33:20.094165', '2025-05-17 15:03:20.094165',
                   '2025-05-17 15:33:20.094165', '2025-05-17 16:03:20.094165',
                   '2025-05-17 16:33:20.094165', '2025-05-17 17:03:20.094165',
                   '2025-05-17 17:33:20.094165', '2025-05-17 18:03:20.094165',
                   '2025-05-17 18:33:20.094165', '2025-05-17 19:03:20.094165',
                   '2025-05-17 19:33:20.094165', '2025-05-17 20:03:20.094165',
                   '2025-05-17 20:33:20.094165', '2025-05-17 21:03:20.094165',
                   '2025-05-17 21:33:20.094165', '2025-05-17 22:03:20.094165',
                   '2025-05-17 22:33:20.094165', '2025-05-17 23:03:20.094165',
                   '2025-05-17 23:33:20.094165', '2025-05-18 00:03:20.094165',
                   '2025-05-18 00:33:20.094165', '2025-05-18 01:03:20.094165',
                   '2025-05-18 01:33:20.094165', '2025-05-18 02:03:20.094165',
                   '2025-05-18 02:33:20.094165', '2025-05-18 03:03:20.094165',
                   '2025-05-18 03:33:20.094165'],
                  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 2025-05-16 15:33:24.280845

  date_created :

  2025-05-16T15:33:24.280862

  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 :

  2025-05-16 15:33:20.094165

  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 :

  True

  config_drift:vertical_mixing :

  True

  config_drift:vertical_mixing_at_surface :

  True

  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 :

  1.14.0

  seed_geojson :

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

  simulation_time :

  2025-05-16 15:33:24.353327

  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 :

  2025-05-18 03:33:20.094165

  time_coverage_duration :

  P1DT12H0M0S

  time_coverage_resolution :

  P0DT0H10M0S

  performance :

  -------------------- Reader performance: -------------------- global_landmask 0:00:02.8 total 0:00:00.0 preparing 0:00:02.8 reading 0:00:00.0 masking -------------------- https://thredds.met.no/thredds/dodsC/sea/norkyst800m/1h/aggregate_be 0:03:57.3 total 0:00:00.0 preparing 0:03:54.3 reading 0:00:09.4 interpolation 0:00:00.1 interpolation_time 0:00:02.8 rotating vectors 0:00:00.0 masking -------------------- Performance: 4:17.4 total time 4.1 configuration 0.1 preparing main loop 0.0 moving elements to ocean 4:13.1 main loop 5.4 updating elements 4.4 vertical mixing 0.0 cleaning up --------------------

  geospatial_bounds_crs :

  EPSG:4326

  geospatial_bounds_vertical_crs :

  EPSG:5831

  geospatial_lat_min :

  59.102657

  geospatial_lat_max :

  59.188633

  geospatial_lat_units :

  degrees_north

  geospatial_lat_resolution :

  point

  geospatial_lon_min :

  10.924481

  geospatial_lon_max :

  11.039125

  geospatial_lon_units :

  degrees_east

  geospatial_lon_resolution :

  point

  runtime :

  0:04:17.491915

  geospatial_vertical_min :

  -14.491534

  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'])

15:37:52 INFO    opendrift:4650: Saving animation to /root/project/docs/source/gallery/animations/example_sediments_0.gif...
15:39:05 INFO    opendrift:3086: Time to make animation: 0:01:22.769302