Checkerboard

import numpy as np
from opendrift import test_data_folder as tdf
from opendrift.readers import reader_global_landmask
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')
reader_norkyst = reader_netCDF_CF_generic.Reader(tdf + '16Nov2015_NorKyst_z_surface/norkyst800_subset_16Nov2015.nc')

o.add_reader([reader_norkyst])

o.set_config('drift:vertical_mixing', False)

13:54:21 INFO    opendrift:569: OpenDriftSimulation initialised (version 1.14.11 / v1.14.12-9-g6f1a4a0)
13:54:21 INFO    opendrift.readers:67: Opening file with xr.open_dataset
13:54:22 INFO    opendrift.readers.reader_netCDF_CF_generic:340: Detected dimensions: {'x': 'X', 'y': 'Y', 'z': 'depth', 'time': 'time'}

Seeding particles in a checkerboard pattern

di = 5 # Horizontal number of particles per square
dj = 5 # Vertical number of particles per square
lons = np.linspace(3.5, 5.0, 100)
lats = np.linspace(60, 61, 100)

ii = np.arange(len(lons))//di
jj = np.arange(len(lats))//dj
ii, jj = np.meshgrid(ii, jj)
board = (ii+jj)%2 > 0

lons, lats = np.meshgrid(lons, lats)
lons = lons[board].ravel()
lats = lats[board].ravel()

o.seed_elements(lons, lats, radius=0, number=5000,
                time=reader_norkyst.start_time)

13:54:22 INFO    opendrift.models.basemodel.environment:203: Adding a global landmask from GSHHG
13:54:28 INFO    opendrift.models.basemodel.environment:227: Fallback values will be used for the following variables which have no readers:
13:54:28 INFO    opendrift.models.basemodel.environment:230:    sea_surface_height: 0.000000
13:54:28 INFO    opendrift.models.basemodel.environment:230:    x_wind: 0.000000
13:54:28 INFO    opendrift.models.basemodel.environment:230:    y_wind: 0.000000
13:54:28 INFO    opendrift.models.basemodel.environment:230:    upward_sea_water_velocity: 0.000000
13:54:28 INFO    opendrift.models.basemodel.environment:230:    ocean_vertical_diffusivity: 0.000000
13:54:28 INFO    opendrift.models.basemodel.environment:230:    horizontal_diffusivity: 0.000000
13:54:28 INFO    opendrift.models.basemodel.environment:230:    sea_surface_wave_significant_height: 0.000000
13:54:28 INFO    opendrift.models.basemodel.environment:230:    sea_surface_wave_stokes_drift_x_velocity: 0.000000
13:54:28 INFO    opendrift.models.basemodel.environment:230:    sea_surface_wave_stokes_drift_y_velocity: 0.000000
13:54:28 INFO    opendrift.models.basemodel.environment:230:    ocean_mixed_layer_thickness: 50.000000
13:54:28 INFO    opendrift.models.basemodel.environment:230:    sea_floor_depth_below_sea_level: 10000.000000

Running model

o.run(steps=66*2, time_step=1800)

13:54:28 INFO    opendrift:1910: Skipping environment variable ocean_vertical_diffusivity because of condition ['drift:vertical_mixing', 'is', False]
13:54:28 INFO    opendrift:1910: Skipping environment variable ocean_mixed_layer_thickness because of condition ['drift:vertical_mixing', 'is', False]
13:54:28 INFO    opendrift:1921: Storing previous values of element property lon because of condition (('general:coastline_action', 'in', ['stranding', 'previous']), 'or', ('general:seafloor_action', 'in', ['previous']))
13:54:28 INFO    opendrift:1921: Storing previous values of element property lat because of condition (('general:coastline_action', 'in', ['stranding', 'previous']), 'or', ('general:seafloor_action', 'in', ['previous']))
13:54:28 INFO    opendrift:1929: Storing previous values of environment variable sea_surface_height because of condition ['drift:vertical_advection', 'is', True]
13:54:28 INFO    opendrift:958: Using existing reader for land_binary_mask to move elements to ocean
13:54:28 INFO    opendrift:991: Moving 217 out of 5000 points from land to water
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<xarray.Dataset> Size: 59MB
Dimensions:                                   (trajectory: 5000, time: 133)
Coordinates:
  * trajectory                                (trajectory) int64 40kB 0 ... 4999
  * time                                      (time) datetime64[ns] 1kB 2015-...
Data variables: (12/22)
    status                                    (trajectory, time) float32 3MB ...
    moving                                    (trajectory, time) float32 3MB ...
    age_seconds                               (trajectory, time) float32 3MB ...
    origin_marker                             (trajectory, time) float32 3MB ...
    lon                                       (trajectory, time) float32 3MB ...
    lat                                       (trajectory, time) float32 3MB ...
    ...                                        ...
    horizontal_diffusivity                    (trajectory, time) float32 3MB ...
    sea_surface_wave_significant_height       (trajectory, time) float32 3MB ...
    sea_surface_wave_stokes_drift_x_velocity  (trajectory, time) float32 3MB ...
    sea_surface_wave_stokes_drift_y_velocity  (trajectory, time) float32 3MB ...
    sea_floor_depth_below_sea_level           (trajectory, time) float32 3MB ...
    land_binary_mask                          (trajectory, time) float32 3MB ...
Attributes: (12/121)
    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: 5000
  • time: 133
• Coordinates: (2)
  • trajectory
    (trajectory)
    int64
    0 1 2 3 4 ... 4996 4997 4998 4999

    cf_role :

    trajectory_id

    dtype :

    <class 'numpy.int32'>

    array([   0,    1,    2, ..., 4997, 4998, 4999], shape=(5000,))

  • time
    (time)
    datetime64[ns]
    2015-11-16 ... 2015-11-18T18:00:00

    standard_name :

    time

    long_name :

    time

    dtype :

    <class 'numpy.float64'>

    array(['2015-11-16T00:00:00.000000000', '2015-11-16T00:30:00.000000000',
           '2015-11-16T01:00:00.000000000', '2015-11-16T01:30:00.000000000',
           '2015-11-16T02:00:00.000000000', '2015-11-16T02:30:00.000000000',
           '2015-11-16T03:00:00.000000000', '2015-11-16T03:30:00.000000000',
           '2015-11-16T04:00:00.000000000', '2015-11-16T04:30:00.000000000',
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           '2015-11-16T08:00:00.000000000', '2015-11-16T08:30:00.000000000',
           '2015-11-16T09:00:00.000000000', '2015-11-16T09:30:00.000000000',
           '2015-11-16T10:00:00.000000000', '2015-11-16T10:30:00.000000000',
           '2015-11-16T11:00:00.000000000', '2015-11-16T11:30:00.000000000',
           '2015-11-16T12:00:00.000000000', '2015-11-16T12:30:00.000000000',
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           '2015-11-17T06:00:00.000000000', '2015-11-17T06:30:00.000000000',
           '2015-11-17T07:00:00.000000000', '2015-11-17T07:30:00.000000000',
           '2015-11-17T08:00:00.000000000', '2015-11-17T08:30:00.000000000',
           '2015-11-17T09:00:00.000000000', '2015-11-17T09:30:00.000000000',
           '2015-11-17T10:00:00.000000000', '2015-11-17T10:30:00.000000000',
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           '2015-11-17T14:00:00.000000000', '2015-11-17T14:30:00.000000000',
           '2015-11-17T15:00:00.000000000', '2015-11-17T15:30:00.000000000',
           '2015-11-17T16:00:00.000000000', '2015-11-17T16:30:00.000000000',
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           '2015-11-17T18:00:00.000000000', '2015-11-17T18:30:00.000000000',
           '2015-11-17T19:00:00.000000000', '2015-11-17T19:30:00.000000000',
           '2015-11-17T20:00:00.000000000', '2015-11-17T20:30:00.000000000',
           '2015-11-17T21:00:00.000000000', '2015-11-17T21:30:00.000000000',
           '2015-11-17T22:00:00.000000000', '2015-11-17T22:30:00.000000000',
           '2015-11-17T23:00:00.000000000', '2015-11-17T23:30:00.000000000',
           '2015-11-18T00:00:00.000000000', '2015-11-18T00:30:00.000000000',
           '2015-11-18T01:00:00.000000000', '2015-11-18T01:30:00.000000000',
           '2015-11-18T02:00:00.000000000', '2015-11-18T02:30:00.000000000',
           '2015-11-18T03:00:00.000000000', '2015-11-18T03:30:00.000000000',
           '2015-11-18T04:00:00.000000000', '2015-11-18T04:30:00.000000000',
           '2015-11-18T05:00:00.000000000', '2015-11-18T05:30:00.000000000',
           '2015-11-18T06:00:00.000000000', '2015-11-18T06:30:00.000000000',
           '2015-11-18T07:00:00.000000000', '2015-11-18T07:30:00.000000000',
           '2015-11-18T08:00:00.000000000', '2015-11-18T08:30:00.000000000',
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           '2015-11-18T10:00:00.000000000', '2015-11-18T10:30:00.000000000',
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           '2015-11-18T12:00:00.000000000', '2015-11-18T12:30:00.000000000',
           '2015-11-18T13:00:00.000000000', '2015-11-18T13:30:00.000000000',
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           '2015-11-18T15:00:00.000000000', '2015-11-18T15:30:00.000000000',
           '2015-11-18T16:00:00.000000000', '2015-11-18T16:30:00.000000000',
           '2015-11-18T17:00:00.000000000', '2015-11-18T17:30:00.000000000',
           '2015-11-18T18:00:00.000000000'], dtype='datetime64[ns]')

• Data variables: (22)
  • status
    (trajectory, time)
    float32
    0.0 0.0 0.0 0.0 ... nan nan nan nan

    dtype :

    <class 'numpy.int32'>

    valid_range :

    [0 1]

    flag_values :

    [0 1]

    flag_meanings :

    active stranded

    array([[ 0.,  0.,  0., ...,  0.,  0.,  0.],
           [ 0.,  0.,  0., ...,  0.,  0.,  0.],
           [ 0.,  0.,  0., ...,  0.,  0.,  0.],
           ...,
           [ 0.,  0.,  0., ..., nan, nan, nan],
           [ 0.,  0.,  0., ..., nan, nan, nan],
           [ 0.,  0.,  0., ..., nan, nan, nan]],
          shape=(5000, 133), dtype=float32)

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

    dtype :

    <class 'numpy.int32'>

    minval :

    0

    maxval :

    1

    array([[ 1.,  1.,  1., ...,  1.,  1.,  1.],
           [ 1.,  1.,  1., ...,  1.,  1.,  1.],
           [ 1.,  1.,  1., ...,  1.,  1.,  1.],
           ...,
           [ 1.,  1.,  1., ..., nan, nan, nan],
           [ 1.,  1.,  1., ..., nan, nan, nan],
           [ 1.,  1.,  1., ..., nan, nan, nan]],
          shape=(5000, 133), dtype=float32)

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

    dtype :

    <class 'numpy.float32'>

    units :

    s

    minval :

    0.0

    maxval :

    237600.0

    array([[     0.,   1800.,   3600., ..., 234000., 235800., 237600.],
           [     0.,   1800.,   3600., ..., 234000., 235800., 237600.],
           [     0.,   1800.,   3600., ..., 234000., 235800., 237600.],
           ...,
           [     0.,   1800.,   3600., ...,     nan,     nan,     nan],
           [     0.,   1800.,   3600., ...,     nan,     nan,     nan],
           [     0.,   1800.,   3600., ...,     nan,     nan,     nan]],
          shape=(5000, 133), dtype=float32)

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

    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., ..., nan, nan, nan],
           [ 0.,  0.,  0., ..., nan, nan, nan],
           [ 0.,  0.,  0., ..., nan, nan, nan]],
          shape=(5000, 133), dtype=float32)

  • lon
    (trajectory, time)
    float32
    3.576 3.57 3.564 ... nan nan nan

    dtype :

    <class 'numpy.float32'>

    units :

    degrees_east

    standard_name :

    longitude

    long_name :

    longitude

    axis :

    X

    minval :

    3.376077

    maxval :

    5.03062

    array([[3.5757575, 3.5696483, 3.5636785, ..., 4.073474 , 4.075298 ,
            4.0777407],
           [3.590909 , 3.58468  , 3.5782533, ..., 4.0728755, 4.0750904,
            4.0778623],
           [3.6060605, 3.5999584, 3.5935855, ..., 4.1316648, 4.135964 ,
            4.1408124],
           ...,
           [4.8939395, 4.890392 , 4.886465 , ...,       nan,       nan,
                  nan],
           [4.909091 , 4.9051275, 4.900696 , ...,       nan,       nan,
                  nan],
           [4.9242425, 4.9202642, 4.918039 , ...,       nan,       nan,
                  nan]], shape=(5000, 133), dtype=float32)

  • lat
    (trajectory, time)
    float32
    60.0 60.0 60.0 60.0 ... nan nan nan

    dtype :

    <class 'numpy.float32'>

    units :

    degrees_north

    standard_name :

    latitude

    long_name :

    latitude

    axis :

    Y

    minval :

    59.86138

    maxval :

    61.709366

    array([[60.      , 60.000286, 60.001446, ..., 60.097942, 60.09854 ,
            60.09929 ],
           [60.      , 59.9994  , 59.999542, ..., 60.09627 , 60.097004,
            60.097954],
           [60.      , 59.99846 , 59.997612, ..., 60.144257, 60.14795 ,
            60.1516  ],
           ...,
           [61.      , 61.004242, 61.008694, ...,       nan,       nan,
                  nan],
           [61.      , 61.004135, 61.008114, ...,       nan,       nan,
                  nan],
           [61.      , 61.004017, 61.00786 , ...,       nan,       nan,
                  nan]], shape=(5000, 133), dtype=float32)

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

    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., ..., nan, nan, nan],
           [ 0.,  0.,  0., ..., nan, nan, nan],
           [ 0.,  0.,  0., ..., nan, nan, nan]],
          shape=(5000, 133), dtype=float32)

  • wind_drift_factor
    (trajectory, time)
    float32
    0.02 0.02 0.02 0.02 ... nan nan nan

    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, ...,  nan,  nan,  nan],
           [0.02, 0.02, 0.02, ...,  nan,  nan,  nan],
           [0.02, 0.02, 0.02, ...,  nan,  nan,  nan]],
          shape=(5000, 133), dtype=float32)

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

    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., ..., nan, nan, nan],
           [ 1.,  1.,  1., ..., nan, nan, nan],
           [ 1.,  1.,  1., ..., nan, nan, nan]],
          shape=(5000, 133), dtype=float32)

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

    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., ..., nan, nan, nan],
           [ 0.,  0.,  0., ..., nan, nan, nan],
           [ 0.,  0.,  0., ..., nan, nan, nan]],
          shape=(5000, 133), dtype=float32)

  • x_sea_water_velocity
    (trajectory, time)
    float32
    -0.1894 -0.1851 -0.171 ... nan nan

    minval :

    -1.064475

    maxval :

    1.1276789

    array([[-0.18938462, -0.18505707, -0.17104118, ...,  0.05636968,
             0.07550626,  0.07550626],
           [-0.19310194, -0.19922939, -0.19800071, ...,  0.06845959,
             0.08567492,  0.08567492],
           [-0.1891741 , -0.19757788, -0.20132305, ...,  0.13267832,
             0.14961694,  0.14961694],
           ...,
           [-0.1066258 , -0.11800606, -0.10403425, ...,         nan,
                    nan,         nan],
           [-0.11912843, -0.13318187, -0.13415386, ...,         nan,
                    nan,         nan],
           [-0.11957191, -0.06687447, -0.06148981, ...,         nan,
                    nan,         nan]], shape=(5000, 133), dtype=float32)

  • y_sea_water_velocity
    (trajectory, time)
    float32
    0.01764 0.07186 0.1318 ... nan nan

    minval :

    -0.7453054

    maxval :

    1.4883465

    array([[ 0.01763747,  0.07186228,  0.13183428, ...,  0.03691179,
             0.04626054,  0.04626054],
           [-0.03703945,  0.00873804,  0.06556859, ...,  0.04549699,
             0.05875553,  0.05875553],
           [-0.09543063, -0.0522773 , -0.00826221, ...,  0.22849321,
             0.2261195 ,  0.2261195 ],
           ...,
           [ 0.2625032 ,  0.27576768,  0.2624553 , ...,         nan,
                    nan,         nan],
           [ 0.25587162,  0.24649443,  0.21833962, ...,         nan,
                    nan,         nan],
           [ 0.2487087 ,  0.23777442,  0.18700421, ...,         nan,
                    nan,         nan]], shape=(5000, 133), dtype=float32)

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

    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., ..., nan, nan, nan],
           [ 0.,  0.,  0., ..., nan, nan, nan],
           [ 0.,  0.,  0., ..., nan, nan, nan]],
          shape=(5000, 133), dtype=float32)

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

    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., ..., nan, nan, nan],
           [ 0.,  0.,  0., ..., nan, nan, nan],
           [ 0.,  0.,  0., ..., nan, nan, nan]],
          shape=(5000, 133), dtype=float32)

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

    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., ..., nan, nan, nan],
           [ 0.,  0.,  0., ..., nan, nan, nan],
           [ 0.,  0.,  0., ..., nan, nan, nan]],
          shape=(5000, 133), dtype=float32)

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

    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., ..., nan, nan, nan],
           [ 0.,  0.,  0., ..., nan, nan, nan],
           [ 0.,  0.,  0., ..., nan, nan, nan]],
          shape=(5000, 133), dtype=float32)

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

    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., ..., nan, nan, nan],
           [ 0.,  0.,  0., ..., nan, nan, nan],
           [ 0.,  0.,  0., ..., nan, nan, nan]],
          shape=(5000, 133), dtype=float32)

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

    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., ..., nan, nan, nan],
           [ 0.,  0.,  0., ..., nan, nan, nan],
           [ 0.,  0.,  0., ..., nan, nan, nan]],
          shape=(5000, 133), dtype=float32)

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

    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., ..., nan, nan, nan],
           [ 0.,  0.,  0., ..., nan, nan, nan],
           [ 0.,  0.,  0., ..., nan, nan, nan]],
          shape=(5000, 133), dtype=float32)

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

    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., ..., nan, nan, nan],
           [ 0.,  0.,  0., ..., nan, nan, nan],
           [ 0.,  0.,  0., ..., nan, nan, nan]],
          shape=(5000, 133), dtype=float32)

  • sea_floor_depth_below_sea_level
    (trajectory, time)
    float32
    1e+04 1e+04 1e+04 ... nan nan nan

    minval :

    10000.0

    maxval :

    10000.0

    array([[10000., 10000., 10000., ..., 10000., 10000., 10000.],
           [10000., 10000., 10000., ..., 10000., 10000., 10000.],
           [10000., 10000., 10000., ..., 10000., 10000., 10000.],
           ...,
           [10000., 10000., 10000., ...,    nan,    nan,    nan],
           [10000., 10000., 10000., ...,    nan,    nan,    nan],
           [10000., 10000., 10000., ...,    nan,    nan,    nan]],
          shape=(5000, 133), dtype=float32)

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

    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., ..., nan, nan, nan],
           [ 0.,  0.,  0., ..., nan, nan, nan],
           [ 0.,  0.,  0., ..., nan, nan, nan]],
          shape=(5000, 133), dtype=float32)

• Attributes: (121)

  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 2026-09-10 13:54:28.696176

  date_created :

  2026-09-10T13:54:28.696193

  source :

  Output from simulation with OpenDrift

  model_url :

  https://github.com/OpenDrift/opendrift

  opendrift_class :

  OceanDrift

  opendrift_module :

  opendrift.models.oceandrift

  readers :

  odict_keys(['/root/project/tests/test_data/16Nov2015_NorKyst_z_surface/norkyst800_subset_16Nov2015.nc', 'global_landmask'])

  time_coverage_start :

  2015-11-16 00:00:00

  time_step_calculation :

  0:30:00

  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 :

  None

  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: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 :

  1.14.11

  seed_geojson :

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

  simulation_time :

  2026-09-10 13:54:28.730531

  reader_x_sea_water_velocity :

  ['/root/project/tests/test_data/16Nov2015_NorKyst_z_surface/norkyst800_subset_16Nov2015.nc']

  reader_y_sea_water_velocity :

  ['/root/project/tests/test_data/16Nov2015_NorKyst_z_surface/norkyst800_subset_16Nov2015.nc']

  reader_sea_surface_height :

  0

  reader_x_wind :

  0

  reader_y_wind :

  0

  reader_upward_sea_water_velocity :

  0

  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 :

  10000

  reader_land_binary_mask :

  ['global_landmask']

  time_coverage_end :

  2015-11-18 18:00:00

  time_coverage_duration :

  P2DT18H0M0S

  time_coverage_resolution :

  P0DT0H30M0S

  performance :

  -------------------- Reader performance: -------------------- /root/project/tests/test_data/16Nov2015_NorKyst_z_surface/norkyst800_subset_16Nov2015.nc 0:00:01.4 total 0:00:00.0 preparing 0:00:00.7 reading 0:00:00.3 interpolation 0:00:00.0 interpolation_time 0:00:00.6 rotating vectors 0:00:00.0 masking -------------------- global_landmask 0:00:00.1 total 0:00:00.0 preparing 0:00:00.1 reading 0:00:00.0 masking -------------------- Performance: 15.2 total time 7.3 configuration 0.0 preparing main loop 0.0 moving elements to ocean 7.8 main loop 0.3 updating elements 0.0 cleaning up --------------------

  geospatial_bounds_crs :

  EPSG:4326

  geospatial_bounds_vertical_crs :

  EPSG:5831

  geospatial_lat_min :

  59.86138

  geospatial_lat_max :

  61.709366

  geospatial_lat_units :

  degrees_north

  geospatial_lat_resolution :

  point

  geospatial_lon_min :

  3.376077

  geospatial_lon_max :

  5.03062

  geospatial_lon_units :

  degrees_east

  geospatial_lon_resolution :

  point

  runtime :

  0:00:15.281425

  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:
--------------------
/root/project/tests/test_data/16Nov2015_NorKyst_z_surface/norkyst800_subset_16Nov2015.nc
 0:00:01.4  total
 0:00:00.0  preparing
 0:00:00.7  reading
 0:00:00.3  interpolation
 0:00:00.0  interpolation_time
 0:00:00.6  rotating vectors
 0:00:00.0  masking
--------------------
global_landmask
 0:00:00.1  total
 0:00:00.0  preparing
 0:00:00.1  reading
 0:00:00.0  masking
--------------------
Performance:
   15.2 total time
    7.3 configuration
    0.0 preparing main loop
      0.0 moving elements to ocean
    7.8 main loop
      0.3 updating elements
    0.0 cleaning up
--------------------
===========================
Model:  OceanDrift     (OpenDrift version 1.14.11)
        3813 active Lagrangian3DArray particles  (1187 deactivated, 0 scheduled)
-------------------
Environment variables:
  -----
  x_sea_water_velocity
  y_sea_water_velocity
     1) /root/project/tests/test_data/16Nov2015_NorKyst_z_surface/norkyst800_subset_16Nov2015.nc
  -----
  land_binary_mask
     1) global_landmask
  -----
Readers not added for the following variables:
  horizontal_diffusivity
  sea_floor_depth_below_sea_level
  sea_surface_height
  sea_surface_wave_significant_height
  sea_surface_wave_stokes_drift_x_velocity
  sea_surface_wave_stokes_drift_y_velocity
  upward_sea_water_velocity
  x_wind
  y_wind

Discarded readers:

Time:
        Start: 2015-11-16 00:00:00 UTC
        Present: 2015-11-18 18:00:00 UTC
        Calculation steps: 132 * 0:30:00 - total time: 2 days, 18:00:00
        Output steps: 133 * 0:30:00
===========================

13:54:36 WARNING opendrift:2613: Plotting fast. This will make your plots less accurate.
13:54:38 INFO    opendrift:4823: Saving animation to /root/project/docs/source/gallery/animations/example_checkerboard_0.gif...
13:55:41 INFO    opendrift:3241: Time to make animation: 0:01:04.516822

o.plot()

(<GeoAxes: title={'center': 'OpenDrift - OceanDrift\n2015-11-16 00:00 to 2015-11-18 18:00 UTC (133 steps)'}>, <Figure size 703.101x1100 with 1 Axes>)