Reader boundary

Seeding elements around the border of a ocean model domain (NorKyst800) to demonstrate autmatic transition back and forth with another model covering a larger domain (Topaz).

from datetime import datetime
import numpy as np
from opendrift.readers import reader_netCDF_CF_generic
from opendrift.models.oceandrift import OceanDrift

o = OceanDrift(loglevel=20)  # Set loglevel to 0 for debug information

# Norkyst
reader_norkyst = reader_netCDF_CF_generic.Reader('https://thredds.met.no/thredds/dodsC/fou-hi/norkystv3_800m_m00_be')

# Topaz
reader_topaz = reader_netCDF_CF_generic.Reader('https://thredds.met.no/thredds/dodsC/cmems/topaz6/dataset-topaz6-arc-15min-3km-be.ncml')

o.add_reader([reader_norkyst, reader_topaz])
o.set_config('environment:fallback:land_binary_mask', 0)
o.set_config('drift:vertical_mixing', False)

16:22:24 INFO    opendrift:576: OpenDriftSimulation initialised (version 1.14.8 / v1.14.8-15-ge839285)
16:22:24 INFO    opendrift.readers:63: Opening file with xr.open_dataset
16:22:25 INFO    opendrift.readers.reader_netCDF_CF_generic:332: Detected dimensions: {'x': 'X', 'y': 'Y', 'z': 'depth', 'time': 'time'}
16:22:25 INFO    opendrift.readers.basereader:178: Variable x_sea_water_velocity will be rotated from eastward_sea_water_velocity
16:22:25 INFO    opendrift.readers.basereader:178: Variable y_sea_water_velocity will be rotated from northward_sea_water_velocity
16:22:25 INFO    opendrift.readers.basereader:178: Variable x_wind will be rotated from eastward_wind
16:22:25 INFO    opendrift.readers.basereader:178: Variable y_wind will be rotated from northward_wind
16:22:25 INFO    opendrift.readers:63: Opening file with xr.open_dataset
16:22:28 INFO    opendrift.readers.reader_netCDF_CF_generic:332: Detected dimensions: {'x': 'x', 'y': 'y', 'time': 'time'}

Seeding some particles

lons = np.linspace(5, 8, 50)
lats = np.linspace(69.8, 70.8, 50)
lons, lats = np.meshgrid(lons, lats)

Seed oil elements at defined position and time

o.seed_elements(lons, lats, radius=0, number=2500,
                time=datetime.now())

16:22:28 INFO    opendrift.models.basemodel.environment:203: Adding a global landmask from GSHHG
16:22:33 INFO    opendrift.models.basemodel.environment:227: Fallback values will be used for the following variables which have no readers:
16:22:33 INFO    opendrift.models.basemodel.environment:230:    horizontal_diffusivity: 0.000000
16:22:33 INFO    opendrift.models.basemodel.environment:230:    sea_surface_wave_significant_height: 0.000000
16:22:33 INFO    opendrift.models.basemodel.environment:230:    sea_surface_wave_stokes_drift_x_velocity: 0.000000
16:22:33 INFO    opendrift.models.basemodel.environment:230:    sea_surface_wave_stokes_drift_y_velocity: 0.000000
16:22:33 INFO    opendrift.models.basemodel.environment:230:    ocean_mixed_layer_thickness: 50.000000

Running model

o.run(steps=16*4, time_step=900, time_step_output=1800)

16:22:33 INFO    opendrift:1836: Skipping environment variable ocean_vertical_diffusivity because of condition ['drift:vertical_mixing', 'is', False]
16:22:33 INFO    opendrift:1836: Skipping environment variable ocean_mixed_layer_thickness because of condition ['drift:vertical_mixing', 'is', False]
16:22:33 INFO    opendrift:1847: Storing previous values of element property lon because of condition (('general:coastline_action', 'in', ['stranding', 'previous']), 'or', ('general:seafloor_action', 'in', ['previous']))
16:22:33 INFO    opendrift:1847: Storing previous values of element property lat because of condition (('general:coastline_action', 'in', ['stranding', 'previous']), 'or', ('general:seafloor_action', 'in', ['previous']))
16:22:33 INFO    opendrift:1855: Storing previous values of environment variable sea_surface_height because of condition ['drift:vertical_advection', 'is', True]
16:22:33 INFO    opendrift:955: Using existing reader for land_binary_mask to move elements to ocean
16:22:33 INFO    opendrift:986: All points are in ocean
16:22:33 INFO    opendrift:2144: 2026-02-16 16:22:28.744700 - step 1 of 64 - 2500 active elements (0 deactivated)
16:22:37 INFO    opendrift:2144: 2026-02-16 16:37:28.744700 - step 2 of 64 - 2500 active elements (0 deactivated)
16:22:38 INFO    opendrift:2144: 2026-02-16 16:52:28.744700 - step 3 of 64 - 2500 active elements (0 deactivated)
16:22:38 INFO    opendrift:2144: 2026-02-16 17:07:28.744700 - step 4 of 64 - 2500 active elements (0 deactivated)
16:22:41 INFO    opendrift:2144: 2026-02-16 17:22:28.744700 - step 5 of 64 - 2500 active elements (0 deactivated)
16:22:41 INFO    opendrift:2144: 2026-02-16 17:37:28.744700 - step 6 of 64 - 2500 active elements (0 deactivated)
16:22:42 INFO    opendrift:2144: 2026-02-16 17:52:28.744700 - step 7 of 64 - 2500 active elements (0 deactivated)
16:22:43 INFO    opendrift:2144: 2026-02-16 18:07:28.744700 - step 8 of 64 - 2500 active elements (0 deactivated)
16:22:45 INFO    opendrift:2144: 2026-02-16 18:22:28.744700 - step 9 of 64 - 2500 active elements (0 deactivated)
16:22:46 INFO    opendrift:2144: 2026-02-16 18:37:28.744700 - step 10 of 64 - 2500 active elements (0 deactivated)
16:22:47 INFO    opendrift:2144: 2026-02-16 18:52:28.744700 - step 11 of 64 - 2500 active elements (0 deactivated)
16:22:48 INFO    opendrift:2144: 2026-02-16 19:07:28.744700 - step 12 of 64 - 2500 active elements (0 deactivated)
16:22:50 INFO    opendrift:2144: 2026-02-16 19:22:28.744700 - step 13 of 64 - 2500 active elements (0 deactivated)
16:22:51 INFO    opendrift:2144: 2026-02-16 19:37:28.744700 - step 14 of 64 - 2500 active elements (0 deactivated)
16:22:51 INFO    opendrift:2144: 2026-02-16 19:52:28.744700 - step 15 of 64 - 2500 active elements (0 deactivated)
16:22:52 INFO    opendrift:2144: 2026-02-16 20:07:28.744700 - step 16 of 64 - 2500 active elements (0 deactivated)
16:22:54 INFO    opendrift:2144: 2026-02-16 20:22:28.744700 - step 17 of 64 - 2500 active elements (0 deactivated)
16:22:55 INFO    opendrift:2144: 2026-02-16 20:37:28.744700 - step 18 of 64 - 2500 active elements (0 deactivated)
16:22:56 INFO    opendrift:2144: 2026-02-16 20:52:28.744700 - step 19 of 64 - 2500 active elements (0 deactivated)
16:22:56 INFO    opendrift:2144: 2026-02-16 21:07:28.744700 - step 20 of 64 - 2500 active elements (0 deactivated)
16:22:59 INFO    opendrift:2144: 2026-02-16 21:22:28.744700 - step 21 of 64 - 2500 active elements (0 deactivated)
16:22:59 INFO    opendrift:2144: 2026-02-16 21:37:28.744700 - step 22 of 64 - 2500 active elements (0 deactivated)
16:23:00 INFO    opendrift:2144: 2026-02-16 21:52:28.744700 - step 23 of 64 - 2500 active elements (0 deactivated)
16:23:01 INFO    opendrift:2144: 2026-02-16 22:07:28.744700 - step 24 of 64 - 2500 active elements (0 deactivated)
16:23:03 INFO    opendrift:2144: 2026-02-16 22:22:28.744700 - step 25 of 64 - 2500 active elements (0 deactivated)
16:23:04 INFO    opendrift:2144: 2026-02-16 22:37:28.744700 - step 26 of 64 - 2500 active elements (0 deactivated)
16:23:04 INFO    opendrift:2144: 2026-02-16 22:52:28.744700 - step 27 of 64 - 2500 active elements (0 deactivated)
16:23:05 INFO    opendrift:2144: 2026-02-16 23:07:28.744700 - step 28 of 64 - 2500 active elements (0 deactivated)
16:23:08 INFO    opendrift:2144: 2026-02-16 23:22:28.744700 - step 29 of 64 - 2500 active elements (0 deactivated)
16:23:09 INFO    opendrift:2144: 2026-02-16 23:37:28.744700 - step 30 of 64 - 2500 active elements (0 deactivated)
16:23:10 INFO    opendrift:2144: 2026-02-16 23:52:28.744700 - step 31 of 64 - 2500 active elements (0 deactivated)
16:23:10 INFO    opendrift:2144: 2026-02-17 00:07:28.744700 - step 32 of 64 - 2500 active elements (0 deactivated)
16:23:13 INFO    opendrift:2144: 2026-02-17 00:22:28.744700 - step 33 of 64 - 2500 active elements (0 deactivated)
16:23:13 INFO    opendrift:2144: 2026-02-17 00:37:28.744700 - step 34 of 64 - 2500 active elements (0 deactivated)
16:23:14 INFO    opendrift:2144: 2026-02-17 00:52:28.744700 - step 35 of 64 - 2500 active elements (0 deactivated)
16:23:14 INFO    opendrift:2144: 2026-02-17 01:07:28.744700 - step 36 of 64 - 2500 active elements (0 deactivated)
16:23:17 INFO    opendrift:2144: 2026-02-17 01:22:28.744700 - step 37 of 64 - 2500 active elements (0 deactivated)
16:23:18 INFO    opendrift:2144: 2026-02-17 01:37:28.744700 - step 38 of 64 - 2500 active elements (0 deactivated)
16:23:18 INFO    opendrift:2144: 2026-02-17 01:52:28.744700 - step 39 of 64 - 2500 active elements (0 deactivated)
16:23:19 INFO    opendrift:2144: 2026-02-17 02:07:28.744700 - step 40 of 64 - 2500 active elements (0 deactivated)
16:23:21 INFO    opendrift:2144: 2026-02-17 02:22:28.744700 - step 41 of 64 - 2500 active elements (0 deactivated)
16:23:22 INFO    opendrift:2144: 2026-02-17 02:37:28.744700 - step 42 of 64 - 2500 active elements (0 deactivated)
16:23:23 INFO    opendrift:2144: 2026-02-17 02:52:28.744700 - step 43 of 64 - 2500 active elements (0 deactivated)
16:23:23 INFO    opendrift:2144: 2026-02-17 03:07:28.744700 - step 44 of 64 - 2500 active elements (0 deactivated)
16:23:26 INFO    opendrift:2144: 2026-02-17 03:22:28.744700 - step 45 of 64 - 2500 active elements (0 deactivated)
16:23:26 INFO    opendrift:2144: 2026-02-17 03:37:28.744700 - step 46 of 64 - 2500 active elements (0 deactivated)
16:23:27 INFO    opendrift:2144: 2026-02-17 03:52:28.744700 - step 47 of 64 - 2500 active elements (0 deactivated)
16:23:28 INFO    opendrift:2144: 2026-02-17 04:07:28.744700 - step 48 of 64 - 2500 active elements (0 deactivated)
16:23:31 INFO    opendrift:2144: 2026-02-17 04:22:28.744700 - step 49 of 64 - 2500 active elements (0 deactivated)
16:23:31 INFO    opendrift:2144: 2026-02-17 04:37:28.744700 - step 50 of 64 - 2500 active elements (0 deactivated)
16:23:32 INFO    opendrift:2144: 2026-02-17 04:52:28.744700 - step 51 of 64 - 2500 active elements (0 deactivated)
16:23:33 INFO    opendrift:2144: 2026-02-17 05:07:28.744700 - step 52 of 64 - 2500 active elements (0 deactivated)
16:23:35 INFO    opendrift:2144: 2026-02-17 05:22:28.744700 - step 53 of 64 - 2500 active elements (0 deactivated)
16:23:35 INFO    opendrift:2144: 2026-02-17 05:37:28.744700 - step 54 of 64 - 2500 active elements (0 deactivated)
16:23:36 INFO    opendrift:2144: 2026-02-17 05:52:28.744700 - step 55 of 64 - 2500 active elements (0 deactivated)
16:23:37 INFO    opendrift:2144: 2026-02-17 06:07:28.744700 - step 56 of 64 - 2500 active elements (0 deactivated)
16:23:39 INFO    opendrift:2144: 2026-02-17 06:22:28.744700 - step 57 of 64 - 2500 active elements (0 deactivated)
16:23:39 INFO    opendrift:2144: 2026-02-17 06:37:28.744700 - step 58 of 64 - 2500 active elements (0 deactivated)
16:23:40 INFO    opendrift:2144: 2026-02-17 06:52:28.744700 - step 59 of 64 - 2500 active elements (0 deactivated)
16:23:41 INFO    opendrift:2144: 2026-02-17 07:07:28.744700 - step 60 of 64 - 2500 active elements (0 deactivated)
16:23:43 INFO    opendrift:2144: 2026-02-17 07:22:28.744700 - step 61 of 64 - 2500 active elements (0 deactivated)
16:23:43 INFO    opendrift:2144: 2026-02-17 07:37:28.744700 - step 62 of 64 - 2500 active elements (0 deactivated)
16:23:44 INFO    opendrift:2144: 2026-02-17 07:52:28.744700 - step 63 of 64 - 2500 active elements (0 deactivated)
16:23:45 INFO    opendrift:2144: 2026-02-17 08:07:28.744700 - step 64 of 64 - 2500 active elements (0 deactivated)

<xarray.Dataset> Size: 7MB
Dimensions:                                   (trajectory: 2500, time: 33)
Coordinates:
  * trajectory                                (trajectory) int64 20kB 0 ... 2499
  * time                                      (time) datetime64[ns] 264B 2026...
Data variables: (12/22)
    status                                    (trajectory, time) float32 330kB ...
    moving                                    (trajectory, time) float32 330kB ...
    age_seconds                               (trajectory, time) float32 330kB ...
    origin_marker                             (trajectory, time) float32 330kB ...
    lon                                       (trajectory, time) float32 330kB ...
    lat                                       (trajectory, time) float32 330kB ...
    ...                                        ...
    horizontal_diffusivity                    (trajectory, time) float32 330kB ...
    sea_surface_wave_significant_height       (trajectory, time) float32 330kB ...
    sea_surface_wave_stokes_drift_x_velocity  (trajectory, time) float32 330kB ...
    sea_surface_wave_stokes_drift_y_velocity  (trajectory, time) float32 330kB ...
    sea_floor_depth_below_sea_level           (trajectory, time) float32 330kB ...
    land_binary_mask                          (trajectory, time) float32 330kB ...
Attributes: (12/122)
    Conventions:                                                           CF...
    standard_name_vocabulary:                                              CF...
    featureType:                                                           tr...
    title:                                                                 Op...
    summary:                                                               Ou...
    keywords:                                                              tr...
    ...                                                                    ...
    geospatial_lon_units:                                                  de...
    geospatial_lon_resolution:                                             point
    runtime:                                                               0:...
    geospatial_vertical_min:                                               0.0
    geospatial_vertical_max:                                               0.0
    geospatial_vertical_positive:                                          up

xarray.Dataset

• Dimensions:
  • trajectory: 2500
  • time: 33
• Coordinates: (2)
  • trajectory
    (trajectory)
    int64
    0 1 2 3 4 ... 2496 2497 2498 2499

    cf_role :

    trajectory_id

    dtype :

    <class 'numpy.int32'>

    array([   0,    1,    2, ..., 2497, 2498, 2499], shape=(2500,))

  • time
    (time)
    datetime64[ns]
    2026-02-16T16:22:28.744700 ... 2...

    standard_name :

    time

    long_name :

    time

    dtype :

    <class 'numpy.float64'>

    array(['2026-02-16T16:22:28.744700000', '2026-02-16T16:52:28.744700000',
           '2026-02-16T17:22:28.744700000', '2026-02-16T17:52:28.744700000',
           '2026-02-16T18:22:28.744700000', '2026-02-16T18:52:28.744700000',
           '2026-02-16T19:22:28.744700000', '2026-02-16T19:52:28.744700000',
           '2026-02-16T20:22:28.744700000', '2026-02-16T20:52:28.744700000',
           '2026-02-16T21:22:28.744700000', '2026-02-16T21:52:28.744700000',
           '2026-02-16T22:22:28.744700000', '2026-02-16T22:52:28.744700000',
           '2026-02-16T23:22:28.744700000', '2026-02-16T23:52:28.744700000',
           '2026-02-17T00:22:28.744700000', '2026-02-17T00:52:28.744700000',
           '2026-02-17T01:22:28.744700000', '2026-02-17T01:52:28.744700000',
           '2026-02-17T02:22:28.744700000', '2026-02-17T02:52:28.744700000',
           '2026-02-17T03:22:28.744700000', '2026-02-17T03:52:28.744700000',
           '2026-02-17T04:22:28.744700000', '2026-02-17T04:52:28.744700000',
           '2026-02-17T05:22:28.744700000', '2026-02-17T05:52:28.744700000',
           '2026-02-17T06:22:28.744700000', '2026-02-17T06:52:28.744700000',
           '2026-02-17T07:22:28.744700000', '2026-02-17T07:52:28.744700000',
           '2026-02-17T08:22:28.744700000'], dtype='datetime64[ns]')

• Data variables: (22)
  • status
    (trajectory, time)
    float32
    0.0 0.0 0.0 0.0 ... 0.0 0.0 0.0 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.],
           ...,
           [0., 0., 0., ..., 0., 0., 0.],
           [0., 0., 0., ..., 0., 0., 0.],
           [0., 0., 0., ..., 0., 0., 0.]], shape=(2500, 33), dtype=float32)

  • moving
    (trajectory, time)
    float32
    1.0 1.0 1.0 1.0 ... 1.0 1.0 1.0 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.],
           ...,
           [1., 1., 1., ..., 1., 1., 1.],
           [1., 1., 1., ..., 1., 1., 1.],
           [1., 1., 1., ..., 1., 1., 1.]], shape=(2500, 33), dtype=float32)

  • age_seconds
    (trajectory, time)
    float32
    0.0 1.8e+03 ... 5.58e+04 5.76e+04

    dtype :

    <class 'numpy.float32'>

    units :

    s

    minval :

    0.0

    maxval :

    57600.0

    array([[    0.,  1800.,  3600., ..., 54000., 55800., 57600.],
           [    0.,  1800.,  3600., ..., 54000., 55800., 57600.],
           [    0.,  1800.,  3600., ..., 54000., 55800., 57600.],
           ...,
           [    0.,  1800.,  3600., ..., 54000., 55800., 57600.],
           [    0.,  1800.,  3600., ..., 54000., 55800., 57600.],
           [    0.,  1800.,  3600., ..., 54000., 55800., 57600.]],
          shape=(2500, 33), dtype=float32)

  • origin_marker
    (trajectory, time)
    float32
    0.0 0.0 0.0 0.0 ... 0.0 0.0 0.0 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.],
           ...,
           [0., 0., 0., ..., 0., 0., 0.],
           [0., 0., 0., ..., 0., 0., 0.],
           [0., 0., 0., ..., 0., 0., 0.]], shape=(2500, 33), dtype=float32)

  • lon
    (trajectory, time)
    float32
    5.0 5.001 5.001 ... 7.809 7.805

    dtype :

    <class 'numpy.float32'>

    units :

    degrees_east

    standard_name :

    longitude

    long_name :

    longitude

    axis :

    X

    minval :

    4.9451656

    maxval :

    8.080799

    array([[5.       , 5.0009985, 5.0009465, ..., 5.1168323, 5.117264 ,
            5.117211 ],
           [5.0612245, 5.0629134, 5.063553 , ..., 5.1840506, 5.1841135,
            5.183691 ],
           [5.122449 , 5.1247206, 5.125904 , ..., 5.243866 , 5.243521 ,
            5.2427287],
           ...,
           [7.877551 , 7.877434 , 7.875792 , ..., 7.6744432, 7.671711 ,
            7.6710286],
           [7.9387755, 7.9386864, 7.937076 , ..., 7.742923 , 7.7401195,
            7.739522 ],
           [8.       , 7.9998627, 7.9983068, ..., 7.814158 , 7.8094263,
            7.8053465]], shape=(2500, 33), dtype=float32)

  • lat
    (trajectory, time)
    float32
    69.8 69.8 69.8 ... 70.92 70.92

    dtype :

    <class 'numpy.float32'>

    units :

    degrees_north

    standard_name :

    latitude

    long_name :

    latitude

    axis :

    Y

    minval :

    69.799515

    maxval :

    70.924614

    array([[69.8     , 69.80023 , 69.80068 , ..., 69.89679 , 69.898994,
            69.901566],
           [69.8     , 69.799904, 69.800026, ..., 69.89139 , 69.893684,
            69.89636 ],
           [69.8     , 69.799675, 69.79957 , ..., 69.889336, 69.891716,
            69.89447 ],
           ...,
           [70.8     , 70.80293 , 70.80536 , ..., 70.90951 , 70.911766,
            70.91386 ],
           [70.8     , 70.8032  , 70.80594 , ..., 70.91424 , 70.916214,
            70.917984],
           [70.8     , 70.80333 , 70.80624 , ..., 70.9201  , 70.922424,
            70.924614]], shape=(2500, 33), dtype=float32)

  • z
    (trajectory, time)
    float32
    0.0 0.0 0.0 0.0 ... 0.0 0.0 0.0 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.],
           ...,
           [0., 0., 0., ..., 0., 0., 0.],
           [0., 0., 0., ..., 0., 0., 0.],
           [0., 0., 0., ..., 0., 0., 0.]], shape=(2500, 33), dtype=float32)

  • wind_drift_factor
    (trajectory, time)
    float32
    0.02 0.02 0.02 ... 0.02 0.02 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],
           ...,
           [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]],
          shape=(2500, 33), dtype=float32)

  • current_drift_factor
    (trajectory, time)
    float32
    1.0 1.0 1.0 1.0 ... 1.0 1.0 1.0 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.],
           ...,
           [1., 1., 1., ..., 1., 1., 1.],
           [1., 1., 1., ..., 1., 1., 1.],
           [1., 1., 1., ..., 1., 1., 1.]], shape=(2500, 33), dtype=float32)

  • terminal_velocity
    (trajectory, time)
    float32
    0.0 0.0 0.0 0.0 ... 0.0 0.0 0.0 0.0

    dtype :

    <class 'numpy.float32'>

    units :

    m/s

    description :

    Terminal rise/sinking velocity (buoyancy) in the ocean column

    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.],
           ...,
           [0., 0., 0., ..., 0., 0., 0.],
           [0., 0., 0., ..., 0., 0., 0.],
           [0., 0., 0., ..., 0., 0., 0.]], shape=(2500, 33), dtype=float32)

  • x_sea_water_velocity
    (trajectory, time)
    float32
    0.02745 0.004052 ... -0.002903

    minval :

    -0.34428835

    maxval :

    0.429969

    array([[ 0.02744582,  0.00405224, -0.01552651, ...,  0.01225014,
             0.0009732 , -0.00322548],
           [ 0.04216889,  0.01890638, -0.0009141 , ...,  0.00440459,
            -0.00689862, -0.01112252],
           [ 0.05484974,  0.03077538,  0.01008809, ..., -0.00448021,
            -0.01499654, -0.01878655],
           ...,
           [ 0.04514617,  0.04094985,  0.02961015, ...,  0.01343137,
             0.01977603,  0.01970478],
           [ 0.04220137,  0.03886863,  0.02758012, ...,  0.00812618,
             0.01224785,  0.0115476 ],
           [ 0.03703681,  0.03575261,  0.0260584 , ...,  0.00384561,
            -0.00088344, -0.00290309]], shape=(2500, 33), dtype=float32)

  • y_sea_water_velocity
    (trajectory, time)
    float32
    0.01156 0.02348 ... -0.06175

    minval :

    -0.23101267

    maxval :

    0.52504784

    array([[ 0.01155565,  0.02348174,  0.04310193, ...,  0.13113385,
             0.15342267,  0.1652684 ],
           [-0.00834433,  0.00304972,  0.02223284, ...,  0.13687953,
             0.15989618,  0.17210814],
           [-0.02278837, -0.01098136,  0.00869113, ...,  0.14193855,
             0.16492864,  0.1771193 ],
           ...,
           [ 0.00455633, -0.01453938, -0.02783955, ..., -0.06120034,
            -0.0697214 , -0.07193992],
           [ 0.02111057,  0.00350229, -0.00766821, ..., -0.06870493,
            -0.0789436 , -0.08118837],
           [ 0.02936492,  0.01282429,  0.00256443, ..., -0.05098799,
            -0.05949816, -0.06174735]], shape=(2500, 33), dtype=float32)

  • sea_surface_height
    (trajectory, time)
    float32
    -1.032 -1.088 ... -0.9597 -0.8925

    minval :

    -1.2570465

    maxval :

    0.031231582

    array([[-1.0318027 , -1.0879292 , -1.1098936 , ..., -0.9348831 ,
            -0.80094266, -0.7289153 ],
           [-1.0331173 , -1.0894723 , -1.1115973 , ..., -0.9362185 ,
            -0.8020067 , -0.72985184],
           [-1.0349975 , -1.0915504 , -1.113811  , ..., -0.9371818 ,
            -0.80270827, -0.7304263 ],
           ...,
           [-1.0406442 , -1.1506525 , -1.205229  , ..., -1.0615056 ,
            -0.95086974, -0.8837424 ],
           [-1.0439701 , -1.1537659 , -1.2080832 , ..., -1.0659454 ,
            -0.9552226 , -0.88816404],
           [-1.0465293 , -1.156893  , -1.2114459 , ..., -1.0711265 ,
            -0.95967764, -0.8924608 ]], shape=(2500, 33), dtype=float32)

  • x_wind
    (trajectory, time)
    float32
    0.0 0.0 0.0 ... -5.133 -4.272 -3.81

    minval :

    -13.084749

    maxval :

    2.22628

    array([[ 0.       ,  0.       ,  0.       , ...,  0.       ,  0.       ,
             0.       ],
           [ 0.       ,  0.       ,  0.       , ...,  0.       ,  0.       ,
             0.       ],
           [ 0.       ,  0.       ,  0.       , ...,  0.       ,  0.       ,
             0.       ],
           ...,
           [-2.0067687, -3.2775888, -4.6282964, ..., -4.0954533, -1.7927428,
            -1.5652964],
           [-1.8333353, -3.1292133, -4.5726123, ..., -3.941789 , -1.3723346,
            -1.0292808],
           [-1.6499742, -2.9331326, -4.4426265, ..., -5.132808 , -4.2715645,
            -3.809623 ]], shape=(2500, 33), dtype=float32)

  • y_wind
    (trajectory, time)
    float32
    0.0 0.0 0.0 ... 9.87 9.823 9.806

    minval :

    0.0

    maxval :

    18.865278

    array([[ 0.       ,  0.       ,  0.       , ...,  0.       ,  0.       ,
             0.       ],
           [ 0.       ,  0.       ,  0.       , ...,  0.       ,  0.       ,
             0.       ],
           [ 0.       ,  0.       ,  0.       , ...,  0.       ,  0.       ,
             0.       ],
           ...,
           [ 9.255989 ,  8.5522375,  8.216034 , ..., 10.190999 , 10.024596 ,
            10.025776 ],
           [ 9.238364 ,  8.575249 ,  8.300737 , ...,  9.74818  ,  9.482175 ,
             9.510879 ],
           [ 9.182909 ,  8.6148205,  8.3848295, ...,  9.870438 ,  9.822594 ,
             9.805725 ]], shape=(2500, 33), dtype=float32)

  • upward_sea_water_velocity
    (trajectory, time)
    float32
    0.0 0.0 0.0 ... 8.77e-05 9.819e-05

    minval :

    -0.0011423642

    maxval :

    0.0021652412

    array([[ 0.0000000e+00,  0.0000000e+00,  0.0000000e+00, ...,
             0.0000000e+00,  0.0000000e+00,  0.0000000e+00],
           [ 0.0000000e+00,  0.0000000e+00,  0.0000000e+00, ...,
             0.0000000e+00,  0.0000000e+00,  0.0000000e+00],
           [ 0.0000000e+00,  0.0000000e+00,  0.0000000e+00, ...,
             0.0000000e+00,  0.0000000e+00,  0.0000000e+00],
           ...,
           [-6.3994084e-05, -4.4659202e-05, -2.5013947e-05, ...,
             4.5642504e-05,  5.8182508e-05,  6.3485451e-05],
           [-6.5013948e-05, -4.5013945e-05, -2.5013947e-05, ...,
             8.0260594e-05,  9.2608410e-05,  9.7471588e-05],
           [-6.5013948e-05, -4.5013945e-05, -2.5013947e-05, ...,
             6.2309264e-05,  8.7697779e-05,  9.8193384e-05]],
          shape=(2500, 33), dtype=float32)

  • horizontal_diffusivity
    (trajectory, time)
    float32
    0.0 0.0 0.0 0.0 ... 0.0 0.0 0.0 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.],
           ...,
           [0., 0., 0., ..., 0., 0., 0.],
           [0., 0., 0., ..., 0., 0., 0.],
           [0., 0., 0., ..., 0., 0., 0.]], shape=(2500, 33), dtype=float32)

  • sea_surface_wave_significant_height
    (trajectory, time)
    float32
    0.0 0.0 0.0 ... 3.045 2.822 2.722

    minval :

    0.0

    maxval :

    8.763769

    array([[0.       , 0.       , 0.       , ..., 0.       , 0.       ,
            0.       ],
           [0.       , 0.       , 0.       , ..., 0.       , 0.       ,
            0.       ],
           [0.       , 0.       , 0.       , ..., 0.       , 0.       ,
            0.       ],
           ...,
           [2.206631 , 2.0635304, 2.1875389, ..., 2.967478 , 2.5511787,
            2.5329719],
           [2.182229 , 2.049841 , 2.209351 , ..., 2.7198918, 2.2581556,
            2.251299 ],
           [2.1413867, 2.0373323, 2.2150407, ..., 3.0447726, 2.8223484,
            2.7223706]], shape=(2500, 33), dtype=float32)

  • sea_surface_wave_stokes_drift_x_velocity
    (trajectory, time)
    float32
    0.0 0.0 0.0 0.0 ... 0.0 0.0 0.0 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.],
           ...,
           [0., 0., 0., ..., 0., 0., 0.],
           [0., 0., 0., ..., 0., 0., 0.],
           [0., 0., 0., ..., 0., 0., 0.]], shape=(2500, 33), dtype=float32)

  • sea_surface_wave_stokes_drift_y_velocity
    (trajectory, time)
    float32
    0.0 0.0 0.0 0.0 ... 0.0 0.0 0.0 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.],
           ...,
           [0., 0., 0., ..., 0., 0., 0.],
           [0., 0., 0., ..., 0., 0., 0.],
           [0., 0., 0., ..., 0., 0., 0.]], shape=(2500, 33), dtype=float32)

  • sea_floor_depth_below_sea_level
    (trajectory, time)
    float32
    3.238e+03 3.238e+03 ... 2.892e+03

    minval :

    2888.6462

    maxval :

    3237.7598

    array([[3237.6443, 3237.5293, 3237.5122, ..., 3217.956 , 3217.7422,
            3217.627 ],
           [3231.73  , 3231.5918, 3231.5337, ..., 3216.9448, 3216.8047,
            3216.7236],
           [3226.837 , 3226.672 , 3226.585 , ..., 3215.079 , 3214.9395,
            3214.8682],
           ...,
           [2909.3318, 2908.9062, 2908.6973, ..., 2937.0527, 2938.1523,
            2938.2976],
           [2900.6626, 2900.225 , 2900.095 , ..., 2908.6248, 2909.5247,
            2909.5994],
           [2890.7188, 2890.279 , 2890.1167, ..., 2891.7942, 2892.2146,
            2892.4536]], shape=(2500, 33), dtype=float32)

  • land_binary_mask
    (trajectory, time)
    float32
    0.0 0.0 0.0 0.0 ... 0.0 0.0 0.0 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.],
           ...,
           [0., 0., 0., ..., 0., 0., 0.],
           [0., 0., 0., ..., 0., 0., 0.],
           [0., 0., 0., ..., 0., 0., 0.]], shape=(2500, 33), dtype=float32)

• Indexes: (2)
  • trajectory
    PandasIndex

    PandasIndex(Index([   0,    1,    2,    3,    4,    5,    6,    7,    8,    9,
           ...
           2490, 2491, 2492, 2493, 2494, 2495, 2496, 2497, 2498, 2499],
          dtype='int64', name='trajectory', length=2500))

  • time
    PandasIndex

    PandasIndex(DatetimeIndex(['2026-02-16 16:22:28.744700', '2026-02-16 16:52:28.744700',
                   '2026-02-16 17:22:28.744700', '2026-02-16 17:52:28.744700',
                   '2026-02-16 18:22:28.744700', '2026-02-16 18:52:28.744700',
                   '2026-02-16 19:22:28.744700', '2026-02-16 19:52:28.744700',
                   '2026-02-16 20:22:28.744700', '2026-02-16 20:52:28.744700',
                   '2026-02-16 21:22:28.744700', '2026-02-16 21:52:28.744700',
                   '2026-02-16 22:22:28.744700', '2026-02-16 22:52:28.744700',
                   '2026-02-16 23:22:28.744700', '2026-02-16 23:52:28.744700',
                   '2026-02-17 00:22:28.744700', '2026-02-17 00:52:28.744700',
                   '2026-02-17 01:22:28.744700', '2026-02-17 01:52:28.744700',
                   '2026-02-17 02:22:28.744700', '2026-02-17 02:52:28.744700',
                   '2026-02-17 03:22:28.744700', '2026-02-17 03:52:28.744700',
                   '2026-02-17 04:22:28.744700', '2026-02-17 04:52:28.744700',
                   '2026-02-17 05:22:28.744700', '2026-02-17 05:52:28.744700',
                   '2026-02-17 06:22:28.744700', '2026-02-17 06:52:28.744700',
                   '2026-02-17 07:22:28.744700', '2026-02-17 07:52:28.744700',
                   '2026-02-17 08:22:28.744700'],
                  dtype='datetime64[ns]', name='time', freq='30min'))

• Attributes: (122)

  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 2026-02-16 16:22:33.451581

  date_created :

  2026-02-16T16:22:33.451602

  source :

  Output from simulation with OpenDrift

  model_url :

  https://github.com/OpenDrift/opendrift

  opendrift_class :

  OceanDrift

  opendrift_module :

  opendrift.models.oceandrift

  readers :

  odict_keys(['https://thredds.met.no/thredds/dodsC/fou-hi/norkystv3_800m_m00_be', 'https://thredds.met.no/thredds/dodsC/cmems/topaz6/dataset-topaz6-arc-15min-3km-be.ncml', 'global_landmask'])

  time_coverage_start :

  2026-02-16 16:22:28.744700

  time_step_calculation :

  0:15:00

  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:x_wind :

  None

  config_environment:fallback:x_wind :

  0

  config_environment:constant:y_wind :

  None

  config_environment:fallback:y_wind :

  0

  config_environment:constant:upward_sea_water_velocity :

  None

  config_environment:fallback:upward_sea_water_velocity :

  0

  config_environment:constant:ocean_vertical_diffusivity :

  None

  config_environment:fallback:ocean_vertical_diffusivity :

  0

  config_environment:constant:horizontal_diffusivity :

  None

  config_environment:fallback:horizontal_diffusivity :

  0

  config_environment:constant:sea_surface_wave_significant_height :

  None

  config_environment:fallback:sea_surface_wave_significant_height :

  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: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_environment:constant:land_binary_mask :

  None

  config_environment:fallback:land_binary_mask :

  0.0

  config_general:use_auto_landmask :

  True

  config_drift:current_uncertainty :

  0

  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 :

  stranding

  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 :

  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 :

  0.0

  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 :

  False

  config_drift:vertical_mixing_at_surface :

  False

  config_vertical_mixing:timestep :

  60

  config_vertical_mixing:diffusivitymodel :

  environment

  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

  opendrift_version :

  1.14.8

  seed_geojson :

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

  simulation_time :

  2026-02-16 16:22:33.462234

  reader_x_sea_water_velocity :

  ['https://thredds.met.no/thredds/dodsC/fou-hi/norkystv3_800m_m00_be', 'https://thredds.met.no/thredds/dodsC/cmems/topaz6/dataset-topaz6-arc-15min-3km-be.ncml']

  reader_y_sea_water_velocity :

  ['https://thredds.met.no/thredds/dodsC/fou-hi/norkystv3_800m_m00_be', 'https://thredds.met.no/thredds/dodsC/cmems/topaz6/dataset-topaz6-arc-15min-3km-be.ncml']

  reader_sea_surface_height :

  ['https://thredds.met.no/thredds/dodsC/fou-hi/norkystv3_800m_m00_be', 'https://thredds.met.no/thredds/dodsC/cmems/topaz6/dataset-topaz6-arc-15min-3km-be.ncml']

  reader_x_wind :

  ['https://thredds.met.no/thredds/dodsC/fou-hi/norkystv3_800m_m00_be']

  reader_y_wind :

  ['https://thredds.met.no/thredds/dodsC/fou-hi/norkystv3_800m_m00_be']

  reader_upward_sea_water_velocity :

  ['https://thredds.met.no/thredds/dodsC/fou-hi/norkystv3_800m_m00_be']

  reader_horizontal_diffusivity :

  0

  reader_sea_surface_wave_significant_height :

  0

  reader_sea_surface_wave_stokes_drift_x_velocity :

  0

  reader_sea_surface_wave_stokes_drift_y_velocity :

  0

  reader_sea_floor_depth_below_sea_level :

  ['https://thredds.met.no/thredds/dodsC/fou-hi/norkystv3_800m_m00_be', 'https://thredds.met.no/thredds/dodsC/cmems/topaz6/dataset-topaz6-arc-15min-3km-be.ncml']

  reader_land_binary_mask :

  ['global_landmask']

  time_coverage_end :

  2026-02-17 08:22:28.744700

  time_coverage_duration :

  P0DT16H0M0S

  time_coverage_resolution :

  P0DT0H15M0S

  performance :

  -------------------- Reader performance: -------------------- https://thredds.met.no/thredds/dodsC/fou-hi/norkystv3_800m_m00_be 0:00:31.3 total 0:00:00.0 preparing 0:00:30.8 reading 0:00:00.4 interpolation 0:00:00.0 interpolation_time 0:00:00.3 rotating vectors 0:00:00.0 masking -------------------- https://thredds.met.no/thredds/dodsC/cmems/topaz6/dataset-topaz6-arc-15min-3km-be.ncml 0:00:40.7 total 0:00:00.0 preparing 0:00:40.5 reading 0:00:00.0 interpolation 0:00:00.0 interpolation_time 0:00:00.1 rotating vectors 0:00:00.0 masking -------------------- global_landmask 0:00:00.0 total 0:00:00.0 preparing 0:00:00.0 reading 0:00:00.0 masking -------------------- Performance: 1:23.3 total time 9.1 configuration 0.0 preparing main loop 0.0 moving elements to ocean 1:14.1 main loop 0.2 updating elements 0.0 cleaning up --------------------

  geospatial_bounds_crs :

  EPSG:4326

  geospatial_bounds_vertical_crs :

  EPSG:5831

  geospatial_lat_min :

  69.799515

  geospatial_lat_max :

  70.924614

  geospatial_lat_units :

  degrees_north

  geospatial_lat_resolution :

  point

  geospatial_lon_min :

  4.9451656

  geospatial_lon_max :

  8.080799

  geospatial_lon_units :

  degrees_east

  geospatial_lon_resolution :

  point

  runtime :

  0:01:23.345688

  geospatial_vertical_min :

  0.0

  geospatial_vertical_max :

  0.0

  geospatial_vertical_positive :

  up

Print and plot results

print(o)
o.animation(fast=True)

===========================
--------------------
Reader performance:
--------------------
https://thredds.met.no/thredds/dodsC/fou-hi/norkystv3_800m_m00_be
 0:00:31.3  total
 0:00:00.0  preparing
 0:00:30.8  reading
 0:00:00.4  interpolation
 0:00:00.0  interpolation_time
 0:00:00.3  rotating vectors
 0:00:00.0  masking
--------------------
https://thredds.met.no/thredds/dodsC/cmems/topaz6/dataset-topaz6-arc-15min-3km-be.ncml
 0:00:40.7  total
 0:00:00.0  preparing
 0:00:40.5  reading
 0:00:00.0  interpolation
 0:00:00.0  interpolation_time
 0:00:00.1  rotating vectors
 0:00:00.0  masking
--------------------
global_landmask
 0:00:00.0  total
 0:00:00.0  preparing
 0:00:00.0  reading
 0:00:00.0  masking
--------------------
Performance:
 1:23.3 total time
    9.1 configuration
    0.0 preparing main loop
      0.0 moving elements to ocean
 1:14.1 main loop
      0.2 updating elements
    0.0 cleaning up
--------------------
===========================
Model:  OceanDrift     (OpenDrift version 1.14.8)
        2500 active Lagrangian3DArray particles  (0 deactivated, 0 scheduled)
-------------------
Environment variables:
  -----
  sea_floor_depth_below_sea_level
  sea_surface_height
  x_sea_water_velocity
  y_sea_water_velocity
     1) https://thredds.met.no/thredds/dodsC/fou-hi/norkystv3_800m_m00_be
     2) https://thredds.met.no/thredds/dodsC/cmems/topaz6/dataset-topaz6-arc-15min-3km-be.ncml
  -----
  upward_sea_water_velocity
  x_wind
  y_wind
     1) https://thredds.met.no/thredds/dodsC/fou-hi/norkystv3_800m_m00_be
  -----
  land_binary_mask
     1) global_landmask
  -----
Readers not added for the following variables:
  horizontal_diffusivity
  sea_surface_wave_significant_height
  sea_surface_wave_stokes_drift_x_velocity
  sea_surface_wave_stokes_drift_y_velocity

Discarded readers:

Time:
        Start: 2026-02-16 16:22:28.744700 UTC
        Present: 2026-02-17 08:22:28.744700 UTC
        Calculation steps: 64 * 0:15:00 - total time: 16:00:00
        Output steps: 33 * 0:30:00
===========================

16:23:47 WARNING opendrift:2507: Plotting fast. This will make your plots less accurate.
16:23:48 INFO    opendrift:4702: Saving animation to /root/project/docs/source/gallery/animations/example_reader_boundary_0.gif...
16:24:08 INFO    opendrift:3128: Time to make animation: 0:00:20.565133

o.plot(fast=True)

16:24:08 WARNING opendrift:2507: Plotting fast. This will make your plots less accurate.

(<GeoAxes: title={'center': 'OpenDrift - OceanDrift\n2026-02-16 16:22 to 2026-02-17 08:22 UTC (33 steps)'}>, <Figure size 897.819x1100 with 1 Axes>)