Model landmask

Comparing two simulation runs, with landmask from ocean model and GSHHG

from datetime import timedelta

from opendrift import test_data_folder as tdf
from opendrift.readers import reader_ROMS_native
from opendrift.models.oceandrift import OceanDrift

lon = 14.75; lat = 68.1

o = OceanDrift(loglevel=20)

reader_nordic = reader_ROMS_native.Reader(tdf +
    '2Feb2016_Nordic_sigma_3d/Nordic-4km_SLEVELS_avg_00_subset2Feb2016.nc')

17:11:39 INFO    opendrift:569: OpenDriftSimulation initialised (version 1.14.11 / v1.14.12-66-g07283eb)
17:11:39 INFO    opendrift.readers:67: Opening file with xr.open_dataset
17:11:39 WARNING opendrift.readers.reader_ROMS_native:305: Duplicate variables for land_binary_mask, selecting mask_psi, and discarding mask_rho
17:11:39 WARNING opendrift.readers.reader_ROMS_native:305: Duplicate variables for latitude, selecting lat_psi, and discarding lat_rho
17:11:39 WARNING opendrift.readers.reader_ROMS_native:305: Duplicate variables for latitude, selecting lat_psi, and discarding lat_u
17:11:39 WARNING opendrift.readers.reader_ROMS_native:305: Duplicate variables for latitude, selecting lat_psi, and discarding lat_v
17:11:39 WARNING opendrift.readers.reader_ROMS_native:305: Duplicate variables for longitude, selecting lon_psi, and discarding lon_rho
17:11:39 WARNING opendrift.readers.reader_ROMS_native:305: Duplicate variables for longitude, selecting lon_psi, and discarding lon_u
17:11:39 WARNING opendrift.readers.reader_ROMS_native:305: Duplicate variables for longitude, selecting lon_psi, and discarding lon_v
17:11:39 WARNING opendrift.readers.reader_ROMS_native:305: Duplicate variables for ocean_s_coordinate_g2, selecting s_rho, and discarding s_w
17:11:39 INFO    opendrift.readers.reader_ROMS_native:312: The following variables without standard_name are discarded: ['AICEnudass', 'Akk_bak', 'Akp_bak', 'Akt_bak', 'Akv_bak', 'Charnok_alpha', 'CrgBan_cw', 'Cs_r', 'Cs_w', 'FSobc_in', 'FSobc_out', 'Falpha', 'Fbeta', 'Fgamma', 'LtracerSrc', 'M2nudg', 'M2obc_in', 'M2obc_out', 'M3nudg', 'M3obc_in', 'M3obc_out', 'Tcline', 'Tnudg', 'Tobc_in', 'Tobc_out', 'Vstretching', 'Vtransform', 'Znudg', 'Zob', 'Zos', 'Zos_hsig_alpha', 'angle', 'dstart', 'dt', 'dtfast', 'el', 'f', 'gamma2', 'gls_Kmin', 'gls_Pmin', 'gls_c1', 'gls_c2', 'gls_c3m', 'gls_c3p', 'gls_cmu0', 'gls_m', 'gls_n', 'gls_p', 'gls_sigk', 'gls_sigp', 'hc', 'mask_u', 'mask_v', 'nAVG', 'nHIS', 'nRST', 'nSTA', 'ndefAVG', 'ndefHIS', 'ndtfast', 'ntimes', 'ntsAVG', 'pm', 'pn', 'rdrg', 'rdrg2', 'rho0', 'spherical', 'swrad', 'sz_alpha', 'theta_b', 'theta_s', 'ubar', 'vbar', 'xl', 'zeta_detided', 'ocean_time']
17:11:39 WARNING opendrift.readers.basereader.structured:50: No proj string or projection could be derived for reader roms native, using 'fakeproj'.
17:11:39 INFO    opendrift.readers.basereader.structured:88: Making interpolator for lon,lat to x,y conversion...

First run, with default GSHHG vector landmask

o.add_reader([reader_nordic])
time = reader_nordic.start_time
o.set_config('general:use_auto_landmask', True)
o.seed_elements(lon, lat, radius=3000, number=1000, time=time)
o.run(end_time=reader_nordic.end_time, time_step=1800, time_step_output=3*3600)

17:11:39 INFO    opendrift.models.basemodel.environment:203: Adding a global landmask from GSHHG
17:11:45 INFO    opendrift.models.basemodel.environment:227: Fallback values will be used for the following variables which have no readers:
17:11:45 INFO    opendrift.models.basemodel.environment:230:    x_wind: 0.000000
17:11:45 INFO    opendrift.models.basemodel.environment:230:    y_wind: 0.000000
17:11:45 INFO    opendrift.models.basemodel.environment:230:    upward_sea_water_velocity: 0.000000
17:11:45 INFO    opendrift.models.basemodel.environment:230:    ocean_vertical_diffusivity: 0.000000
17:11:45 INFO    opendrift.models.basemodel.environment:230:    horizontal_diffusivity: 0.000000
17:11:45 INFO    opendrift.models.basemodel.environment:230:    sea_surface_wave_significant_height: 0.000000
17:11:45 INFO    opendrift.models.basemodel.environment:230:    sea_surface_wave_stokes_drift_x_velocity: 0.000000
17:11:45 INFO    opendrift.models.basemodel.environment:230:    sea_surface_wave_stokes_drift_y_velocity: 0.000000
17:11:45 INFO    opendrift.models.basemodel.environment:230:    ocean_mixed_layer_thickness: 50.000000
17:11:45 INFO    opendrift:1911: Skipping environment variable ocean_vertical_diffusivity because of condition ['drift:vertical_mixing', 'is', False]
17:11:45 INFO    opendrift:1911: Skipping environment variable ocean_mixed_layer_thickness because of condition ['drift:vertical_mixing', 'is', False]
17:11:45 INFO    opendrift:1922: Storing previous values of element property lon because of condition (('general:coastline_action', 'in', ['stranding', 'previous']), 'or', ('general:seafloor_action', 'in', ['previous']))
17:11:45 INFO    opendrift:1922: Storing previous values of element property lat because of condition (('general:coastline_action', 'in', ['stranding', 'previous']), 'or', ('general:seafloor_action', 'in', ['previous']))
17:11:45 INFO    opendrift:1930: Storing previous values of environment variable sea_surface_height because of condition ['drift:vertical_advection', 'is', True]
17:11:45 INFO    opendrift:958: Using existing reader for land_binary_mask to move elements to ocean
17:11:45 INFO    opendrift:992: Moving 3 out of 1000 points from land to water
17:11:45 INFO    opendrift:2238: 2016-02-02 12:00:00 - step 1 of 96 - 1000 active elements (0 deactivated)
17:11:45 INFO    opendrift.readers.reader_ROMS_native:362: Using mask_rho for mask_rho
17:11:45 INFO    opendrift.readers.reader_ROMS_native:383: Using mask_u for mask_u
17:11:45 INFO    opendrift.readers.reader_ROMS_native:404: Using mask_v for mask_v
17:11:45 INFO    opendrift.readers.reader_ROMS_native:427: Using angle from Dataset.
17:11:45 INFO    opendrift:2238: 2016-02-02 12:30:00 - step 2 of 96 - 1000 active elements (0 deactivated)
17:11:45 INFO    opendrift:2238: 2016-02-02 13:00:00 - step 3 of 96 - 997 active elements (3 deactivated)
17:11:46 INFO    opendrift:2238: 2016-02-02 13:30:00 - step 4 of 96 - 995 active elements (5 deactivated)
17:11:46 INFO    opendrift:2238: 2016-02-02 14:00:00 - step 5 of 96 - 995 active elements (5 deactivated)
17:11:46 INFO    opendrift:2238: 2016-02-02 14:30:00 - step 6 of 96 - 994 active elements (6 deactivated)
17:11:46 INFO    opendrift:2238: 2016-02-02 15:00:00 - step 7 of 96 - 993 active elements (7 deactivated)
17:11:46 INFO    opendrift:2238: 2016-02-02 15:30:00 - step 8 of 96 - 993 active elements (7 deactivated)
17:11:46 INFO    opendrift:2238: 2016-02-02 16:00:00 - step 9 of 96 - 991 active elements (9 deactivated)
17:11:46 INFO    opendrift:2238: 2016-02-02 16:30:00 - step 10 of 96 - 991 active elements (9 deactivated)
17:11:46 INFO    opendrift:2238: 2016-02-02 17:00:00 - step 11 of 96 - 991 active elements (9 deactivated)
17:11:46 INFO    opendrift:2238: 2016-02-02 17:30:00 - step 12 of 96 - 990 active elements (10 deactivated)
17:11:46 INFO    opendrift:2238: 2016-02-02 18:00:00 - step 13 of 96 - 989 active elements (11 deactivated)
17:11:46 INFO    opendrift:2238: 2016-02-02 18:30:00 - step 14 of 96 - 988 active elements (12 deactivated)
17:11:46 INFO    opendrift:2238: 2016-02-02 19:00:00 - step 15 of 96 - 988 active elements (12 deactivated)
17:11:46 INFO    opendrift:2238: 2016-02-02 19:30:00 - step 16 of 96 - 987 active elements (13 deactivated)
17:11:46 INFO    opendrift:2238: 2016-02-02 20:00:00 - step 17 of 96 - 987 active elements (13 deactivated)
17:11:46 INFO    opendrift:2238: 2016-02-02 20:30:00 - step 18 of 96 - 987 active elements (13 deactivated)
17:11:46 INFO    opendrift:2238: 2016-02-02 21:00:00 - step 19 of 96 - 987 active elements (13 deactivated)
17:11:46 INFO    opendrift:2238: 2016-02-02 21:30:00 - step 20 of 96 - 987 active elements (13 deactivated)
17:11:46 INFO    opendrift:2238: 2016-02-02 22:00:00 - step 21 of 96 - 986 active elements (14 deactivated)
17:11:46 INFO    opendrift:2238: 2016-02-02 22:30:00 - step 22 of 96 - 986 active elements (14 deactivated)
17:11:46 INFO    opendrift:2238: 2016-02-02 23:00:00 - step 23 of 96 - 986 active elements (14 deactivated)
17:11:46 INFO    opendrift:2238: 2016-02-02 23:30:00 - step 24 of 96 - 986 active elements (14 deactivated)
17:11:46 INFO    opendrift:2238: 2016-02-03 00:00:00 - step 25 of 96 - 986 active elements (14 deactivated)
17:11:46 INFO    opendrift:2238: 2016-02-03 00:30:00 - step 26 of 96 - 986 active elements (14 deactivated)
17:11:46 INFO    opendrift:2238: 2016-02-03 01:00:00 - step 27 of 96 - 986 active elements (14 deactivated)
17:11:46 INFO    opendrift:2238: 2016-02-03 01:30:00 - step 28 of 96 - 986 active elements (14 deactivated)
17:11:46 INFO    opendrift:2238: 2016-02-03 02:00:00 - step 29 of 96 - 986 active elements (14 deactivated)
17:11:46 INFO    opendrift:2238: 2016-02-03 02:30:00 - step 30 of 96 - 986 active elements (14 deactivated)
17:11:46 INFO    opendrift:2238: 2016-02-03 03:00:00 - step 31 of 96 - 986 active elements (14 deactivated)
17:11:46 INFO    opendrift:2238: 2016-02-03 03:30:00 - step 32 of 96 - 986 active elements (14 deactivated)
17:11:46 INFO    opendrift:2238: 2016-02-03 04:00:00 - step 33 of 96 - 986 active elements (14 deactivated)
17:11:46 INFO    opendrift:2238: 2016-02-03 04:30:00 - step 34 of 96 - 986 active elements (14 deactivated)
17:11:46 INFO    opendrift:2238: 2016-02-03 05:00:00 - step 35 of 96 - 986 active elements (14 deactivated)
17:11:46 INFO    opendrift:2238: 2016-02-03 05:30:00 - step 36 of 96 - 986 active elements (14 deactivated)
17:11:46 INFO    opendrift:2238: 2016-02-03 06:00:00 - step 37 of 96 - 986 active elements (14 deactivated)
17:11:46 INFO    opendrift:2238: 2016-02-03 06:30:00 - step 38 of 96 - 986 active elements (14 deactivated)
17:11:46 INFO    opendrift:2238: 2016-02-03 07:00:00 - step 39 of 96 - 986 active elements (14 deactivated)
17:11:46 INFO    opendrift:2238: 2016-02-03 07:30:00 - step 40 of 96 - 986 active elements (14 deactivated)
17:11:46 INFO    opendrift:2238: 2016-02-03 08:00:00 - step 41 of 96 - 986 active elements (14 deactivated)
17:11:46 INFO    opendrift:2238: 2016-02-03 08:30:00 - step 42 of 96 - 985 active elements (15 deactivated)
17:11:46 INFO    opendrift:2238: 2016-02-03 09:00:00 - step 43 of 96 - 985 active elements (15 deactivated)
17:11:46 INFO    opendrift:2238: 2016-02-03 09:30:00 - step 44 of 96 - 985 active elements (15 deactivated)
17:11:46 INFO    opendrift:2238: 2016-02-03 10:00:00 - step 45 of 96 - 984 active elements (16 deactivated)
17:11:46 INFO    opendrift:2238: 2016-02-03 10:30:00 - step 46 of 96 - 982 active elements (18 deactivated)
17:11:46 INFO    opendrift:2238: 2016-02-03 11:00:00 - step 47 of 96 - 982 active elements (18 deactivated)
17:11:46 INFO    opendrift:2238: 2016-02-03 11:30:00 - step 48 of 96 - 982 active elements (18 deactivated)
17:11:46 INFO    opendrift:2238: 2016-02-03 12:00:00 - step 49 of 96 - 982 active elements (18 deactivated)
17:11:46 INFO    opendrift:2238: 2016-02-03 12:30:00 - step 50 of 96 - 982 active elements (18 deactivated)
17:11:46 INFO    opendrift:2238: 2016-02-03 13:00:00 - step 51 of 96 - 982 active elements (18 deactivated)
17:11:46 INFO    opendrift:2238: 2016-02-03 13:30:00 - step 52 of 96 - 982 active elements (18 deactivated)
17:11:47 INFO    opendrift:2238: 2016-02-03 14:00:00 - step 53 of 96 - 980 active elements (20 deactivated)
17:11:47 INFO    opendrift:2238: 2016-02-03 14:30:00 - step 54 of 96 - 979 active elements (21 deactivated)
17:11:47 INFO    opendrift:2238: 2016-02-03 15:00:00 - step 55 of 96 - 977 active elements (23 deactivated)
17:11:47 INFO    opendrift:2238: 2016-02-03 15:30:00 - step 56 of 96 - 976 active elements (24 deactivated)
17:11:47 INFO    opendrift:2238: 2016-02-03 16:00:00 - step 57 of 96 - 975 active elements (25 deactivated)
17:11:47 INFO    opendrift:2238: 2016-02-03 16:30:00 - step 58 of 96 - 974 active elements (26 deactivated)
17:11:47 INFO    opendrift:2238: 2016-02-03 17:00:00 - step 59 of 96 - 972 active elements (28 deactivated)
17:11:47 INFO    opendrift:2238: 2016-02-03 17:30:00 - step 60 of 96 - 972 active elements (28 deactivated)
17:11:47 INFO    opendrift:2238: 2016-02-03 18:00:00 - step 61 of 96 - 970 active elements (30 deactivated)
17:11:47 INFO    opendrift:2238: 2016-02-03 18:30:00 - step 62 of 96 - 970 active elements (30 deactivated)
17:11:47 INFO    opendrift:2238: 2016-02-03 19:00:00 - step 63 of 96 - 967 active elements (33 deactivated)
17:11:47 INFO    opendrift:2238: 2016-02-03 19:30:00 - step 64 of 96 - 965 active elements (35 deactivated)
17:11:47 INFO    opendrift:2238: 2016-02-03 20:00:00 - step 65 of 96 - 961 active elements (39 deactivated)
17:11:47 INFO    opendrift:2238: 2016-02-03 20:30:00 - step 66 of 96 - 959 active elements (41 deactivated)
17:11:47 INFO    opendrift:2238: 2016-02-03 21:00:00 - step 67 of 96 - 956 active elements (44 deactivated)
17:11:47 INFO    opendrift:2238: 2016-02-03 21:30:00 - step 68 of 96 - 953 active elements (47 deactivated)
17:11:47 INFO    opendrift:2238: 2016-02-03 22:00:00 - step 69 of 96 - 947 active elements (53 deactivated)
17:11:47 INFO    opendrift:2238: 2016-02-03 22:30:00 - step 70 of 96 - 945 active elements (55 deactivated)
17:11:47 INFO    opendrift:2238: 2016-02-03 23:00:00 - step 71 of 96 - 942 active elements (58 deactivated)
17:11:47 INFO    opendrift:2238: 2016-02-03 23:30:00 - step 72 of 96 - 940 active elements (60 deactivated)
17:11:47 INFO    opendrift:2238: 2016-02-04 00:00:00 - step 73 of 96 - 939 active elements (61 deactivated)
17:11:47 INFO    opendrift:2238: 2016-02-04 00:30:00 - step 74 of 96 - 937 active elements (63 deactivated)
17:11:47 INFO    opendrift:2238: 2016-02-04 01:00:00 - step 75 of 96 - 936 active elements (64 deactivated)
17:11:47 INFO    opendrift:2238: 2016-02-04 01:30:00 - step 76 of 96 - 931 active elements (69 deactivated)
17:11:47 INFO    opendrift:2238: 2016-02-04 02:00:00 - step 77 of 96 - 921 active elements (79 deactivated)
17:11:47 INFO    opendrift:2238: 2016-02-04 02:30:00 - step 78 of 96 - 916 active elements (84 deactivated)
17:11:47 INFO    opendrift:2238: 2016-02-04 03:00:00 - step 79 of 96 - 911 active elements (89 deactivated)
17:11:47 INFO    opendrift:2238: 2016-02-04 03:30:00 - step 80 of 96 - 907 active elements (93 deactivated)
17:11:47 INFO    opendrift:2238: 2016-02-04 04:00:00 - step 81 of 96 - 903 active elements (97 deactivated)
17:11:47 INFO    opendrift:2238: 2016-02-04 04:30:00 - step 82 of 96 - 893 active elements (107 deactivated)
17:11:47 INFO    opendrift:2238: 2016-02-04 05:00:00 - step 83 of 96 - 883 active elements (117 deactivated)
17:11:47 INFO    opendrift:2238: 2016-02-04 05:30:00 - step 84 of 96 - 881 active elements (119 deactivated)
17:11:47 INFO    opendrift:2238: 2016-02-04 06:00:00 - step 85 of 96 - 870 active elements (130 deactivated)
17:11:47 INFO    opendrift:2238: 2016-02-04 06:30:00 - step 86 of 96 - 862 active elements (138 deactivated)
17:11:48 INFO    opendrift:2238: 2016-02-04 07:00:00 - step 87 of 96 - 856 active elements (144 deactivated)
17:11:48 INFO    opendrift:2238: 2016-02-04 07:30:00 - step 88 of 96 - 847 active elements (153 deactivated)
17:11:48 INFO    opendrift:2238: 2016-02-04 08:00:00 - step 89 of 96 - 836 active elements (164 deactivated)
17:11:48 INFO    opendrift:2238: 2016-02-04 08:30:00 - step 90 of 96 - 828 active elements (172 deactivated)
17:11:48 INFO    opendrift:2238: 2016-02-04 09:00:00 - step 91 of 96 - 817 active elements (183 deactivated)
17:11:48 INFO    opendrift:2238: 2016-02-04 09:30:00 - step 92 of 96 - 808 active elements (192 deactivated)
17:11:48 INFO    opendrift:2238: 2016-02-04 10:00:00 - step 93 of 96 - 799 active elements (201 deactivated)
17:11:48 INFO    opendrift:2238: 2016-02-04 10:30:00 - step 94 of 96 - 794 active elements (206 deactivated)
17:11:48 INFO    opendrift:2238: 2016-02-04 11:00:00 - step 95 of 96 - 787 active elements (213 deactivated)
17:11:48 INFO    opendrift:2238: 2016-02-04 11:30:00 - step 96 of 96 - 780 active elements (220 deactivated)

<xarray.Dataset> Size: 2MB
Dimensions:                                   (trajectory: 1000, time: 17)
Coordinates:
  * trajectory                                (trajectory) int64 8kB 0 1 ... 999
  * time                                      (time) datetime64[ns] 136B 2016...
Data variables: (12/22)
    status                                    (trajectory, time) float32 68kB ...
    moving                                    (trajectory, time) float32 68kB ...
    age_seconds                               (trajectory, time) float32 68kB ...
    origin_marker                             (trajectory, time) float32 68kB ...
    lon                                       (trajectory, time) float32 68kB ...
    lat                                       (trajectory, time) float32 68kB ...
    ...                                        ...
    horizontal_diffusivity                    (trajectory, time) float32 68kB ...
    sea_surface_wave_significant_height       (trajectory, time) float32 68kB ...
    sea_surface_wave_stokes_drift_x_velocity  (trajectory, time) float32 68kB ...
    sea_surface_wave_stokes_drift_y_velocity  (trajectory, time) float32 68kB ...
    sea_floor_depth_below_sea_level           (trajectory, time) float32 68kB ...
    land_binary_mask                          (trajectory, time) float32 68kB ...
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: 1000
  • time: 17
• Coordinates: (2)
  • trajectory
    (trajectory)
    int64
    0 1 2 3 4 5 ... 995 996 997 998 999

    cf_role :

    trajectory_id

    dtype :

    <class 'numpy.int32'>

    array([  0,   1,   2, ..., 997, 998, 999], shape=(1000,))

  • time
    (time)
    datetime64[ns]
    2016-02-02T12:00:00 ... 2016-02-...

    standard_name :

    time

    long_name :

    time

    dtype :

    <class 'numpy.float64'>

    array(['2016-02-02T12:00:00.000000000', '2016-02-02T15:00:00.000000000',
           '2016-02-02T18:00:00.000000000', '2016-02-02T21:00:00.000000000',
           '2016-02-03T00:00:00.000000000', '2016-02-03T03:00:00.000000000',
           '2016-02-03T06:00:00.000000000', '2016-02-03T09:00:00.000000000',
           '2016-02-03T12:00:00.000000000', '2016-02-03T15:00:00.000000000',
           '2016-02-03T18:00:00.000000000', '2016-02-03T21:00:00.000000000',
           '2016-02-04T00:00:00.000000000', '2016-02-04T03:00:00.000000000',
           '2016-02-04T06:00:00.000000000', '2016-02-04T09:00:00.000000000',
           '2016-02-04T12:00:00.000000000'], dtype='datetime64[ns]')

• Data variables: (22)
  • status
    (trajectory, time)
    float32
    0.0 0.0 0.0 0.0 ... 0.0 0.0 1.0 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., ...,  0.,  0.,  0.],
           [ 0.,  0.,  0., ...,  0.,  0.,  0.],
           [ 0.,  0.,  0., ...,  0.,  1., nan]],
          shape=(1000, 17), dtype=float32)

  • moving
    (trajectory, time)
    float32
    1.0 1.0 1.0 1.0 ... 1.0 1.0 0.0 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., ...,  1.,  1.,  1.],
           [ 1.,  1.,  1., ...,  1.,  1.,  1.],
           [ 1.,  1.,  1., ...,  1.,  0., nan]],
          shape=(1000, 17), dtype=float32)

  • age_seconds
    (trajectory, time)
    float32
    0.0 1.08e+04 ... 1.548e+05 nan

    dtype :

    <class 'numpy.float32'>

    units :

    s

    minval :

    0.0

    maxval :

    172800.0

    array([[     0.,  10800.,  21600., ..., 151200., 162000., 172800.],
           [     0.,  10800.,  21600., ..., 151200., 162000., 172800.],
           [     0.,  10800.,  21600., ..., 151200., 162000., 172800.],
           ...,
           [     0.,  10800.,  21600., ..., 151200., 162000., 172800.],
           [     0.,  10800.,  21600., ..., 151200., 162000., 172800.],
           [     0.,  10800.,  21600., ..., 151200., 154800.,     nan]],
          shape=(1000, 17), dtype=float32)

  • origin_marker
    (trajectory, time)
    float32
    0.0 0.0 0.0 0.0 ... 0.0 0.0 0.0 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., ...,  0.,  0.,  0.],
           [ 0.,  0.,  0., ...,  0.,  0.,  0.],
           [ 0.,  0.,  0., ...,  0.,  0., nan]],
          shape=(1000, 17), dtype=float32)

  • lon
    (trajectory, time)
    float32
    14.88 14.9 14.93 ... 15.03 nan

    dtype :

    <class 'numpy.float32'>

    units :

    degrees_east

    standard_name :

    longitude

    long_name :

    longitude

    axis :

    X

    minval :

    14.301589

    maxval :

    15.362972

    array([[14.877172 , 14.897906 , 14.926504 , ..., 15.220199 , 15.225651 ,
            15.223183 ],
           [14.778859 , 14.79981  , 14.833956 , ..., 15.224495 , 15.256397 ,
            15.286544 ],
           [14.8204775, 14.823901 , 14.831969 , ..., 15.178939 , 15.20933  ,
            15.239346 ],
           ...,
           [14.756787 , 14.771563 , 14.788212 , ..., 15.136847 , 15.163258 ,
            15.192706 ],
           [14.667431 , 14.676323 , 14.689936 , ..., 14.969973 , 14.996041 ,
            15.018818 ],
           [14.724239 , 14.726044 , 14.735568 , ..., 15.023678 , 15.0316305,
                   nan]], shape=(1000, 17), dtype=float32)

  • lat
    (trajectory, time)
    float32
    68.11 68.12 68.13 ... 68.22 nan

    dtype :

    <class 'numpy.float32'>

    units :

    degrees_north

    standard_name :

    latitude

    long_name :

    latitude

    axis :

    Y

    minval :

    68.01945

    maxval :

    68.2797

    array([[68.11491 , 68.12478 , 68.13388 , ..., 68.161194, 68.15143 ,
            68.139275],
           [68.124   , 68.1395  , 68.15173 , ..., 68.223076, 68.21925 ,
            68.21371 ],
           [68.08862 , 68.100494, 68.11341 , ..., 68.212494, 68.21216 ,
            68.20868 ],
           ...,
           [68.10426 , 68.11746 , 68.13246 , ..., 68.23281 , 68.23567 ,
            68.23704 ],
           [68.06927 , 68.07746 , 68.085815, ..., 68.211555, 68.22021 ,
            68.22876 ],
           [68.064735, 68.076256, 68.0875  , ..., 68.217514, 68.21889 ,
                  nan]], shape=(1000, 17), dtype=float32)

  • z
    (trajectory, time)
    float32
    0.0 0.0 0.0 0.0 ... 0.0 0.0 0.0 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., ...,  0.,  0.,  0.],
           [ 0.,  0.,  0., ...,  0.,  0.,  0.],
           [ 0.,  0.,  0., ...,  0.,  0., nan]],
          shape=(1000, 17), dtype=float32)

  • wind_drift_factor
    (trajectory, time)
    float32
    0.02 0.02 0.02 ... 0.02 0.02 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, ..., 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]],
          shape=(1000, 17), dtype=float32)

  • current_drift_factor
    (trajectory, time)
    float32
    1.0 1.0 1.0 1.0 ... 1.0 1.0 1.0 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., ...,  1.,  1.,  1.],
           [ 1.,  1.,  1., ...,  1.,  1.,  1.],
           [ 1.,  1.,  1., ...,  1.,  1., nan]],
          shape=(1000, 17), dtype=float32)

  • terminal_velocity
    (trajectory, time)
    float32
    0.0 0.0 0.0 0.0 ... 0.0 0.0 0.0 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., ...,  0.,  0.,  0.],
           [ 0.,  0.,  0., ...,  0.,  0.,  0.],
           [ 0.,  0.,  0., ...,  0.,  0., nan]],
          shape=(1000, 17), dtype=float32)

  • x_sea_water_velocity
    (trajectory, time)
    float32
    0.06472 0.09985 ... 0.08842 nan

    minval :

    -0.1452677

    maxval :

    0.19644614

    array([[ 0.06472018,  0.09985437,  0.11561183, ...,  0.03219877,
             0.00421871, -0.02390574],
           [ 0.0662813 ,  0.11068583,  0.15806125, ...,  0.12537652,
             0.11765082,  0.1141369 ],
           [ 0.00541813,  0.02397641,  0.04624955, ...,  0.11765166,
             0.11548081,  0.11502481],
           ...,
           [ 0.05207663,  0.06197634,  0.07827664, ...,  0.09754924,
             0.10727027,  0.11891962],
           [ 0.0252429 ,  0.04573552,  0.06140871, ...,  0.10380141,
             0.09269557,  0.08211357],
           [-0.0058907 ,  0.02566006,  0.050713  , ...,  0.09255217,
             0.08842123,         nan]], shape=(1000, 17), dtype=float32)

  • y_sea_water_velocity
    (trajectory, time)
    float32
    0.1046 0.0975 ... 0.08537 nan

    minval :

    -0.15163702

    maxval :

    0.17843722

    array([[ 0.10463738,  0.09750166,  0.09143377, ..., -0.09034176,
            -0.11543446, -0.13537003],
           [ 0.16189604,  0.14258766,  0.10423066, ..., -0.0311352 ,
            -0.04949226, -0.0653536 ],
           [ 0.11846498,  0.12889196,  0.13551562, ...,  0.00890591,
            -0.02146349, -0.05111038],
           ...,
           [ 0.13096647,  0.14587188,  0.15556085, ...,  0.03596134,
             0.02072104,  0.00719855],
           [ 0.08452237,  0.08524593,  0.08806531, ...,  0.09013972,
             0.08882822,  0.08778989],
           [ 0.11773563,  0.1173166 ,  0.11494715, ...,  0.08545264,
             0.0853662 ,         nan]], shape=(1000, 17), dtype=float32)

  • sea_surface_height
    (trajectory, time)
    float32
    0.4329 0.4166 0.4003 ... 0.1943 nan

    minval :

    0.15286748

    maxval :

    0.43597323

    array([[0.43292335, 0.4165746 , 0.40026605, ..., 0.20985389, 0.19413781,
            0.18113978],
           [0.42671713, 0.40887395, 0.3922047 , ..., 0.20352443, 0.18861961,
            0.17633028],
           [0.43128845, 0.414747  , 0.3976727 , ..., 0.2056616 , 0.19029927,
            0.17782566],
           ...,
           [0.4267774 , 0.40993518, 0.39258167, ..., 0.20151347, 0.1862191 ,
            0.1737566 ],
           [0.42316896, 0.4068736 , 0.39046595, ..., 0.19777855, 0.18216461,
            0.16912839],
           [0.4257891 , 0.4094062 , 0.3928822 , ..., 0.19952062, 0.19432925,
                   nan]], shape=(1000, 17), dtype=float32)

  • x_wind
    (trajectory, time)
    float32
    0.0 0.0 0.0 0.0 ... 0.0 0.0 0.0 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., ...,  0.,  0.,  0.],
           [ 0.,  0.,  0., ...,  0.,  0.,  0.],
           [ 0.,  0.,  0., ...,  0.,  0., nan]],
          shape=(1000, 17), dtype=float32)

  • y_wind
    (trajectory, time)
    float32
    0.0 0.0 0.0 0.0 ... 0.0 0.0 0.0 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., ...,  0.,  0.,  0.],
           [ 0.,  0.,  0., ...,  0.,  0.,  0.],
           [ 0.,  0.,  0., ...,  0.,  0., nan]],
          shape=(1000, 17), dtype=float32)

  • upward_sea_water_velocity
    (trajectory, time)
    float32
    0.0 0.0 0.0 0.0 ... 0.0 0.0 0.0 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., ...,  0.,  0.,  0.],
           [ 0.,  0.,  0., ...,  0.,  0.,  0.],
           [ 0.,  0.,  0., ...,  0.,  0., nan]],
          shape=(1000, 17), dtype=float32)

  • horizontal_diffusivity
    (trajectory, time)
    float32
    0.0 0.0 0.0 0.0 ... 0.0 0.0 0.0 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., ...,  0.,  0.,  0.],
           [ 0.,  0.,  0., ...,  0.,  0.,  0.],
           [ 0.,  0.,  0., ...,  0.,  0., nan]],
          shape=(1000, 17), dtype=float32)

  • sea_surface_wave_significant_height
    (trajectory, time)
    float32
    0.0 0.0 0.0 0.0 ... 0.0 0.0 0.0 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., ...,  0.,  0.,  0.],
           [ 0.,  0.,  0., ...,  0.,  0.,  0.],
           [ 0.,  0.,  0., ...,  0.,  0., nan]],
          shape=(1000, 17), 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 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., ...,  0.,  0.,  0.],
           [ 0.,  0.,  0., ...,  0.,  0.,  0.],
           [ 0.,  0.,  0., ...,  0.,  0., nan]],
          shape=(1000, 17), 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 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., ...,  0.,  0.,  0.],
           [ 0.,  0.,  0., ...,  0.,  0.,  0.],
           [ 0.,  0.,  0., ...,  0.,  0., nan]],
          shape=(1000, 17), dtype=float32)

  • sea_floor_depth_below_sea_level
    (trajectory, time)
    float32
    300.2 295.4 293.5 ... 172.0 nan

    minval :

    80.4408

    maxval :

    374.22107

    array([[300.2193 , 295.36343, 293.53345, ..., 341.46396, 352.88043,
            363.92258],
           [244.83344, 227.90446, 221.28603, ..., 223.62553, 236.30547,
            248.55759],
           [309.48007, 299.2717 , 285.0905 , ..., 238.37611, 245.53806,
            256.26038],
           ...,
           [265.4019 , 251.81877, 235.02663, ..., 183.7052 , 184.36366,
            186.81421],
           [276.11667, 269.16086, 263.58356, ..., 168.30388, 160.87384,
            153.99417],
           [302.48672, 291.23718, 280.44785, ..., 174.41487, 172.04424,
                  nan]], shape=(1000, 17), dtype=float32)

  • land_binary_mask
    (trajectory, time)
    float32
    0.0 0.0 0.0 0.0 ... 0.0 0.0 0.0 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., ...,  0.,  0.,  0.],
           [ 0.,  0.,  0., ...,  0.,  0.,  0.],
           [ 0.,  0.,  0., ...,  0.,  0., nan]],
          shape=(1000, 17), 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 2026-10-26 17:11:45.753431

  date_created :

  2026-10-26T17:11:45.753439

  source :

  Output from simulation with OpenDrift

  model_url :

  https://github.com/OpenDrift/opendrift

  opendrift_class :

  OceanDrift

  opendrift_module :

  opendrift.models.oceandrift

  readers :

  odict_keys(['roms native', 'global_landmask'])

  time_coverage_start :

  2016-02-02 12:00:00

  time_step_calculation :

  0:30:00

  time_step_output :

  3:00:00

  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 :

  2026-10-26 17:11:45.871172

  reader_x_sea_water_velocity :

  ['roms native']

  reader_y_sea_water_velocity :

  ['roms native']

  reader_sea_surface_height :

  ['roms native']

  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 :

  ['roms native']

  reader_land_binary_mask :

  ['global_landmask']

  time_coverage_end :

  2016-02-04 12:00:00

  time_coverage_duration :

  P2DT0H0M0S

  time_coverage_resolution :

  P0DT0H30M0S

  performance :

  -------------------- Reader performance: -------------------- roms native 0:00:00.2 total 0:00:00.0 preparing 0:00:00.1 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: 8.9 total time 6.4 configuration 0.1 preparing main loop 0.0 moving elements to ocean 2.4 main loop 0.0 updating elements 0.0 cleaning up --------------------

  geospatial_bounds_crs :

  EPSG:4326

  geospatial_bounds_vertical_crs :

  EPSG:5831

  geospatial_lat_min :

  68.01945

  geospatial_lat_max :

  68.2797

  geospatial_lat_units :

  degrees_north

  geospatial_lat_resolution :

  point

  geospatial_lon_min :

  14.301589

  geospatial_lon_max :

  15.362972

  geospatial_lon_units :

  degrees_east

  geospatial_lon_resolution :

  point

  runtime :

  0:00:08.980633

  geospatial_vertical_min :

  0.0

  geospatial_vertical_max :

  0.0

  geospatial_vertical_positive :

  up

Second run, with landmask from ocean model

o2 = OceanDrift(loglevel=20)
o2.add_reader([reader_nordic])
lon = 14.75; lat = 68.1
o2.set_config('general:use_auto_landmask', False)
o2.seed_elements(lon, lat, radius=3000, number=1000, time=time)
o2.run(end_time=reader_nordic.end_time, time_step=1800, time_step_output=3*3600)

17:11:48 INFO    opendrift:569: OpenDriftSimulation initialised (version 1.14.11 / v1.14.12-66-g07283eb)
17:11:48 INFO    opendrift.models.basemodel.environment:227: Fallback values will be used for the following variables which have no readers:
17:11:48 INFO    opendrift.models.basemodel.environment:230:    x_wind: 0.000000
17:11:48 INFO    opendrift.models.basemodel.environment:230:    y_wind: 0.000000
17:11:48 INFO    opendrift.models.basemodel.environment:230:    upward_sea_water_velocity: 0.000000
17:11:48 INFO    opendrift.models.basemodel.environment:230:    ocean_vertical_diffusivity: 0.000000
17:11:48 INFO    opendrift.models.basemodel.environment:230:    horizontal_diffusivity: 0.000000
17:11:48 INFO    opendrift.models.basemodel.environment:230:    sea_surface_wave_significant_height: 0.000000
17:11:48 INFO    opendrift.models.basemodel.environment:230:    sea_surface_wave_stokes_drift_x_velocity: 0.000000
17:11:48 INFO    opendrift.models.basemodel.environment:230:    sea_surface_wave_stokes_drift_y_velocity: 0.000000
17:11:48 INFO    opendrift.models.basemodel.environment:230:    ocean_mixed_layer_thickness: 50.000000
17:11:48 INFO    opendrift:1911: Skipping environment variable ocean_vertical_diffusivity because of condition ['drift:vertical_mixing', 'is', False]
17:11:48 INFO    opendrift:1911: Skipping environment variable ocean_mixed_layer_thickness because of condition ['drift:vertical_mixing', 'is', False]
17:11:48 INFO    opendrift:1922: Storing previous values of element property lon because of condition (('general:coastline_action', 'in', ['stranding', 'previous']), 'or', ('general:seafloor_action', 'in', ['previous']))
17:11:48 INFO    opendrift:1922: Storing previous values of element property lat because of condition (('general:coastline_action', 'in', ['stranding', 'previous']), 'or', ('general:seafloor_action', 'in', ['previous']))
17:11:48 INFO    opendrift:1930: Storing previous values of environment variable sea_surface_height because of condition ['drift:vertical_advection', 'is', True]
17:11:48 INFO    opendrift:958: Using existing reader for land_binary_mask to move elements to ocean
17:11:48 INFO    opendrift:990: All points are in ocean
17:11:48 INFO    opendrift:2238: 2016-02-02 12:00:00 - step 1 of 96 - 1000 active elements (0 deactivated)
17:11:48 INFO    opendrift:2238: 2016-02-02 12:30:00 - step 2 of 96 - 1000 active elements (0 deactivated)
17:11:48 INFO    opendrift:2238: 2016-02-02 13:00:00 - step 3 of 96 - 1000 active elements (0 deactivated)
17:11:48 INFO    opendrift:2238: 2016-02-02 13:30:00 - step 4 of 96 - 1000 active elements (0 deactivated)
17:11:48 INFO    opendrift:2238: 2016-02-02 14:00:00 - step 5 of 96 - 1000 active elements (0 deactivated)
17:11:48 INFO    opendrift:2238: 2016-02-02 14:30:00 - step 6 of 96 - 1000 active elements (0 deactivated)
17:11:48 INFO    opendrift:2238: 2016-02-02 15:00:00 - step 7 of 96 - 1000 active elements (0 deactivated)
17:11:48 INFO    opendrift:2238: 2016-02-02 15:30:00 - step 8 of 96 - 1000 active elements (0 deactivated)
17:11:48 INFO    opendrift:2238: 2016-02-02 16:00:00 - step 9 of 96 - 1000 active elements (0 deactivated)
17:11:48 INFO    opendrift:2238: 2016-02-02 16:30:00 - step 10 of 96 - 1000 active elements (0 deactivated)
17:11:48 INFO    opendrift:2238: 2016-02-02 17:00:00 - step 11 of 96 - 999 active elements (1 deactivated)
17:11:48 INFO    opendrift:2238: 2016-02-02 17:30:00 - step 12 of 96 - 999 active elements (1 deactivated)
17:11:48 INFO    opendrift:2238: 2016-02-02 18:00:00 - step 13 of 96 - 999 active elements (1 deactivated)
17:11:48 INFO    opendrift:2238: 2016-02-02 18:30:00 - step 14 of 96 - 998 active elements (2 deactivated)
17:11:48 INFO    opendrift:2238: 2016-02-02 19:00:00 - step 15 of 96 - 998 active elements (2 deactivated)
17:11:48 INFO    opendrift:2238: 2016-02-02 19:30:00 - step 16 of 96 - 998 active elements (2 deactivated)
17:11:48 INFO    opendrift:2238: 2016-02-02 20:00:00 - step 17 of 96 - 996 active elements (4 deactivated)
17:11:48 INFO    opendrift:2238: 2016-02-02 20:30:00 - step 18 of 96 - 996 active elements (4 deactivated)
17:11:48 INFO    opendrift:2238: 2016-02-02 21:00:00 - step 19 of 96 - 995 active elements (5 deactivated)
17:11:48 INFO    opendrift:2238: 2016-02-02 21:30:00 - step 20 of 96 - 993 active elements (7 deactivated)
17:11:48 INFO    opendrift:2238: 2016-02-02 22:00:00 - step 21 of 96 - 991 active elements (9 deactivated)
17:11:48 INFO    opendrift:2238: 2016-02-02 22:30:00 - step 22 of 96 - 989 active elements (11 deactivated)
17:11:48 INFO    opendrift:2238: 2016-02-02 23:00:00 - step 23 of 96 - 988 active elements (12 deactivated)
17:11:48 INFO    opendrift:2238: 2016-02-02 23:30:00 - step 24 of 96 - 987 active elements (13 deactivated)
17:11:48 INFO    opendrift:2238: 2016-02-03 00:00:00 - step 25 of 96 - 986 active elements (14 deactivated)
17:11:49 INFO    opendrift:2238: 2016-02-03 00:30:00 - step 26 of 96 - 986 active elements (14 deactivated)
17:11:49 INFO    opendrift:2238: 2016-02-03 01:00:00 - step 27 of 96 - 982 active elements (18 deactivated)
17:11:49 INFO    opendrift:2238: 2016-02-03 01:30:00 - step 28 of 96 - 981 active elements (19 deactivated)
17:11:49 INFO    opendrift:2238: 2016-02-03 02:00:00 - step 29 of 96 - 979 active elements (21 deactivated)
17:11:49 INFO    opendrift:2238: 2016-02-03 02:30:00 - step 30 of 96 - 975 active elements (25 deactivated)
17:11:49 INFO    opendrift:2238: 2016-02-03 03:00:00 - step 31 of 96 - 970 active elements (30 deactivated)
17:11:49 INFO    opendrift:2238: 2016-02-03 03:30:00 - step 32 of 96 - 967 active elements (33 deactivated)
17:11:49 INFO    opendrift:2238: 2016-02-03 04:00:00 - step 33 of 96 - 963 active elements (37 deactivated)
17:11:49 INFO    opendrift:2238: 2016-02-03 04:30:00 - step 34 of 96 - 962 active elements (38 deactivated)
17:11:49 INFO    opendrift:2238: 2016-02-03 05:00:00 - step 35 of 96 - 960 active elements (40 deactivated)
17:11:49 INFO    opendrift:2238: 2016-02-03 05:30:00 - step 36 of 96 - 958 active elements (42 deactivated)
17:11:49 INFO    opendrift:2238: 2016-02-03 06:00:00 - step 37 of 96 - 953 active elements (47 deactivated)
17:11:49 INFO    opendrift:2238: 2016-02-03 06:30:00 - step 38 of 96 - 950 active elements (50 deactivated)
17:11:49 INFO    opendrift:2238: 2016-02-03 07:00:00 - step 39 of 96 - 948 active elements (52 deactivated)
17:11:49 INFO    opendrift:2238: 2016-02-03 07:30:00 - step 40 of 96 - 946 active elements (54 deactivated)
17:11:49 INFO    opendrift:2238: 2016-02-03 08:00:00 - step 41 of 96 - 942 active elements (58 deactivated)
17:11:49 INFO    opendrift:2238: 2016-02-03 08:30:00 - step 42 of 96 - 940 active elements (60 deactivated)
17:11:49 INFO    opendrift:2238: 2016-02-03 09:00:00 - step 43 of 96 - 939 active elements (61 deactivated)
17:11:49 INFO    opendrift:2238: 2016-02-03 09:30:00 - step 44 of 96 - 937 active elements (63 deactivated)
17:11:49 INFO    opendrift:2238: 2016-02-03 10:00:00 - step 45 of 96 - 936 active elements (64 deactivated)
17:11:49 INFO    opendrift:2238: 2016-02-03 10:30:00 - step 46 of 96 - 936 active elements (64 deactivated)
17:11:49 INFO    opendrift:2238: 2016-02-03 11:00:00 - step 47 of 96 - 934 active elements (66 deactivated)
17:11:49 INFO    opendrift:2238: 2016-02-03 11:30:00 - step 48 of 96 - 932 active elements (68 deactivated)
17:11:49 INFO    opendrift:2238: 2016-02-03 12:00:00 - step 49 of 96 - 931 active elements (69 deactivated)
17:11:49 INFO    opendrift:2238: 2016-02-03 12:30:00 - step 50 of 96 - 930 active elements (70 deactivated)
17:11:49 INFO    opendrift:2238: 2016-02-03 13:00:00 - step 51 of 96 - 929 active elements (71 deactivated)
17:11:49 INFO    opendrift:2238: 2016-02-03 13:30:00 - step 52 of 96 - 927 active elements (73 deactivated)
17:11:49 INFO    opendrift:2238: 2016-02-03 14:00:00 - step 53 of 96 - 925 active elements (75 deactivated)
17:11:49 INFO    opendrift:2238: 2016-02-03 14:30:00 - step 54 of 96 - 922 active elements (78 deactivated)
17:11:49 INFO    opendrift:2238: 2016-02-03 15:00:00 - step 55 of 96 - 919 active elements (81 deactivated)
17:11:49 INFO    opendrift:2238: 2016-02-03 15:30:00 - step 56 of 96 - 916 active elements (84 deactivated)
17:11:49 INFO    opendrift:2238: 2016-02-03 16:00:00 - step 57 of 96 - 916 active elements (84 deactivated)
17:11:49 INFO    opendrift:2238: 2016-02-03 16:30:00 - step 58 of 96 - 913 active elements (87 deactivated)
17:11:49 INFO    opendrift:2238: 2016-02-03 17:00:00 - step 59 of 96 - 910 active elements (90 deactivated)
17:11:49 INFO    opendrift:2238: 2016-02-03 17:30:00 - step 60 of 96 - 908 active elements (92 deactivated)
17:11:49 INFO    opendrift:2238: 2016-02-03 18:00:00 - step 61 of 96 - 906 active elements (94 deactivated)
17:11:50 INFO    opendrift:2238: 2016-02-03 18:30:00 - step 62 of 96 - 906 active elements (94 deactivated)
17:11:50 INFO    opendrift:2238: 2016-02-03 19:00:00 - step 63 of 96 - 902 active elements (98 deactivated)
17:11:50 INFO    opendrift:2238: 2016-02-03 19:30:00 - step 64 of 96 - 901 active elements (99 deactivated)
17:11:50 INFO    opendrift:2238: 2016-02-03 20:00:00 - step 65 of 96 - 901 active elements (99 deactivated)
17:11:50 INFO    opendrift:2238: 2016-02-03 20:30:00 - step 66 of 96 - 901 active elements (99 deactivated)
17:11:50 INFO    opendrift:2238: 2016-02-03 21:00:00 - step 67 of 96 - 900 active elements (100 deactivated)
17:11:50 INFO    opendrift:2238: 2016-02-03 21:30:00 - step 68 of 96 - 899 active elements (101 deactivated)
17:11:50 INFO    opendrift:2238: 2016-02-03 22:00:00 - step 69 of 96 - 897 active elements (103 deactivated)
17:11:50 INFO    opendrift:2238: 2016-02-03 22:30:00 - step 70 of 96 - 896 active elements (104 deactivated)
17:11:50 INFO    opendrift:2238: 2016-02-03 23:00:00 - step 71 of 96 - 895 active elements (105 deactivated)
17:11:50 INFO    opendrift:2238: 2016-02-03 23:30:00 - step 72 of 96 - 894 active elements (106 deactivated)
17:11:50 INFO    opendrift:2238: 2016-02-04 00:00:00 - step 73 of 96 - 894 active elements (106 deactivated)
17:11:50 INFO    opendrift:2238: 2016-02-04 00:30:00 - step 74 of 96 - 894 active elements (106 deactivated)
17:11:50 INFO    opendrift:2238: 2016-02-04 01:00:00 - step 75 of 96 - 894 active elements (106 deactivated)
17:11:50 INFO    opendrift:2238: 2016-02-04 01:30:00 - step 76 of 96 - 894 active elements (106 deactivated)
17:11:50 INFO    opendrift:2238: 2016-02-04 02:00:00 - step 77 of 96 - 892 active elements (108 deactivated)
17:11:50 INFO    opendrift:2238: 2016-02-04 02:30:00 - step 78 of 96 - 892 active elements (108 deactivated)
17:11:50 INFO    opendrift:2238: 2016-02-04 03:00:00 - step 79 of 96 - 892 active elements (108 deactivated)
17:11:50 INFO    opendrift:2238: 2016-02-04 03:30:00 - step 80 of 96 - 892 active elements (108 deactivated)
17:11:50 INFO    opendrift:2238: 2016-02-04 04:00:00 - step 81 of 96 - 892 active elements (108 deactivated)
17:11:50 INFO    opendrift:2238: 2016-02-04 04:30:00 - step 82 of 96 - 891 active elements (109 deactivated)
17:11:50 INFO    opendrift:2238: 2016-02-04 05:00:00 - step 83 of 96 - 890 active elements (110 deactivated)
17:11:50 INFO    opendrift:2238: 2016-02-04 05:30:00 - step 84 of 96 - 890 active elements (110 deactivated)
17:11:50 INFO    opendrift:2238: 2016-02-04 06:00:00 - step 85 of 96 - 890 active elements (110 deactivated)
17:11:50 INFO    opendrift:2238: 2016-02-04 06:30:00 - step 86 of 96 - 889 active elements (111 deactivated)
17:11:50 INFO    opendrift:2238: 2016-02-04 07:00:00 - step 87 of 96 - 889 active elements (111 deactivated)
17:11:50 INFO    opendrift:2238: 2016-02-04 07:30:00 - step 88 of 96 - 889 active elements (111 deactivated)
17:11:50 INFO    opendrift:2238: 2016-02-04 08:00:00 - step 89 of 96 - 889 active elements (111 deactivated)
17:11:50 INFO    opendrift:2238: 2016-02-04 08:30:00 - step 90 of 96 - 889 active elements (111 deactivated)
17:11:50 INFO    opendrift:2238: 2016-02-04 09:00:00 - step 91 of 96 - 888 active elements (112 deactivated)
17:11:50 INFO    opendrift:2238: 2016-02-04 09:30:00 - step 92 of 96 - 888 active elements (112 deactivated)
17:11:50 INFO    opendrift:2238: 2016-02-04 10:00:00 - step 93 of 96 - 887 active elements (113 deactivated)
17:11:50 INFO    opendrift:2238: 2016-02-04 10:30:00 - step 94 of 96 - 887 active elements (113 deactivated)
17:11:50 INFO    opendrift:2238: 2016-02-04 11:00:00 - step 95 of 96 - 887 active elements (113 deactivated)
17:11:50 INFO    opendrift:2238: 2016-02-04 11:30:00 - step 96 of 96 - 887 active elements (113 deactivated)

<xarray.Dataset> Size: 2MB
Dimensions:                                   (trajectory: 1000, time: 17)
Coordinates:
  * trajectory                                (trajectory) int64 8kB 0 1 ... 999
  * time                                      (time) datetime64[ns] 136B 2016...
Data variables: (12/22)
    status                                    (trajectory, time) float32 68kB ...
    moving                                    (trajectory, time) float32 68kB ...
    age_seconds                               (trajectory, time) float32 68kB ...
    origin_marker                             (trajectory, time) float32 68kB ...
    lon                                       (trajectory, time) float32 68kB ...
    lat                                       (trajectory, time) float32 68kB ...
    ...                                        ...
    horizontal_diffusivity                    (trajectory, time) float32 68kB ...
    sea_surface_wave_significant_height       (trajectory, time) float32 68kB ...
    sea_surface_wave_stokes_drift_x_velocity  (trajectory, time) float32 68kB ...
    sea_surface_wave_stokes_drift_y_velocity  (trajectory, time) float32 68kB ...
    sea_floor_depth_below_sea_level           (trajectory, time) float32 68kB ...
    land_binary_mask                          (trajectory, time) float32 68kB ...
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: 1000
  • time: 17
• Coordinates: (2)
  • trajectory
    (trajectory)
    int64
    0 1 2 3 4 5 ... 995 996 997 998 999

    cf_role :

    trajectory_id

    dtype :

    <class 'numpy.int32'>

    array([  0,   1,   2, ..., 997, 998, 999], shape=(1000,))

  • time
    (time)
    datetime64[ns]
    2016-02-02T12:00:00 ... 2016-02-...

    standard_name :

    time

    long_name :

    time

    dtype :

    <class 'numpy.float64'>

    array(['2016-02-02T12:00:00.000000000', '2016-02-02T15:00:00.000000000',
           '2016-02-02T18:00:00.000000000', '2016-02-02T21:00:00.000000000',
           '2016-02-03T00:00:00.000000000', '2016-02-03T03:00:00.000000000',
           '2016-02-03T06:00:00.000000000', '2016-02-03T09:00:00.000000000',
           '2016-02-03T12:00:00.000000000', '2016-02-03T15:00:00.000000000',
           '2016-02-03T18:00:00.000000000', '2016-02-03T21:00:00.000000000',
           '2016-02-04T00:00:00.000000000', '2016-02-04T03:00:00.000000000',
           '2016-02-04T06:00:00.000000000', '2016-02-04T09:00:00.000000000',
           '2016-02-04T12:00:00.000000000'], 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 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., ..., 0., 0., 0.],
           [0., 0., 0., ..., 0., 0., 0.],
           [0., 0., 0., ..., 0., 0., 0.]], shape=(1000, 17), 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 :

    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., ..., 1., 1., 1.],
           [1., 1., 1., ..., 1., 1., 1.],
           [1., 1., 1., ..., 1., 1., 1.]], shape=(1000, 17), dtype=float32)

  • age_seconds
    (trajectory, time)
    float32
    0.0 1.08e+04 ... 1.62e+05 1.728e+05

    dtype :

    <class 'numpy.float32'>

    units :

    s

    minval :

    0.0

    maxval :

    172800.0

    array([[     0.,  10800.,  21600., ..., 151200., 162000., 172800.],
           [     0.,  10800.,  21600., ..., 151200., 162000., 172800.],
           [     0.,  10800.,  21600., ..., 151200., 162000., 172800.],
           ...,
           [     0.,  10800.,  21600., ..., 151200., 162000., 172800.],
           [     0.,  10800.,  21600., ..., 151200., 162000., 172800.],
           [     0.,  10800.,  21600., ..., 151200., 162000., 172800.]],
          shape=(1000, 17), 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=(1000, 17), dtype=float32)

  • lon
    (trajectory, time)
    float32
    14.88 14.9 14.93 ... 15.05 15.07

    dtype :

    <class 'numpy.float32'>

    units :

    degrees_east

    standard_name :

    longitude

    long_name :

    longitude

    axis :

    X

    minval :

    14.301589

    maxval :

    15.362972

    array([[14.877172 , 14.897906 , 14.926504 , ..., 15.220199 , 15.225651 ,
            15.223183 ],
           [14.778859 , 14.79981  , 14.833956 , ..., 15.224495 , 15.256397 ,
            15.286544 ],
           [14.8204775, 14.823901 , 14.831969 , ..., 15.178939 , 15.20933  ,
            15.239346 ],
           ...,
           [14.756787 , 14.771563 , 14.788212 , ..., 15.136847 , 15.163258 ,
            15.192706 ],
           [14.667431 , 14.676323 , 14.689936 , ..., 14.969973 , 14.996041 ,
            15.018818 ],
           [14.724239 , 14.726044 , 14.735568 , ..., 15.023678 , 15.046466 ,
            15.066038 ]], shape=(1000, 17), dtype=float32)

  • lat
    (trajectory, time)
    float32
    68.11 68.12 68.13 ... 68.23 68.23

    dtype :

    <class 'numpy.float32'>

    units :

    degrees_north

    standard_name :

    latitude

    long_name :

    latitude

    axis :

    Y

    minval :

    68.01945

    maxval :

    68.26903

    array([[68.11491 , 68.12478 , 68.13388 , ..., 68.161194, 68.15143 ,
            68.139275],
           [68.124   , 68.1395  , 68.15173 , ..., 68.223076, 68.21925 ,
            68.21371 ],
           [68.08862 , 68.100494, 68.11341 , ..., 68.212494, 68.21216 ,
            68.20868 ],
           ...,
           [68.10426 , 68.11746 , 68.13246 , ..., 68.23281 , 68.23567 ,
            68.23704 ],
           [68.06927 , 68.07746 , 68.085815, ..., 68.211555, 68.22021 ,
            68.22876 ],
           [68.064735, 68.076256, 68.0875  , ..., 68.217514, 68.22578 ,
            68.233986]], shape=(1000, 17), 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=(1000, 17), 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=(1000, 17), 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=(1000, 17), 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=(1000, 17), dtype=float32)

  • x_sea_water_velocity
    (trajectory, time)
    float32
    0.06472 0.09985 ... 0.08021 0.06983

    minval :

    -0.1452677

    maxval :

    0.19644614

    array([[ 0.06472018,  0.09985437,  0.11561183, ...,  0.03219877,
             0.00421871, -0.02390574],
           [ 0.0662813 ,  0.11068583,  0.15806125, ...,  0.12537652,
             0.11765082,  0.1141369 ],
           [ 0.00541813,  0.02397641,  0.04624955, ...,  0.11765166,
             0.11548081,  0.11502481],
           ...,
           [ 0.05207663,  0.06197634,  0.07827664, ...,  0.09754924,
             0.10727027,  0.11891962],
           [ 0.0252429 ,  0.04573552,  0.06140871, ...,  0.10380141,
             0.09269557,  0.08211357],
           [-0.0058907 ,  0.02566006,  0.050713  , ...,  0.09255217,
             0.08020782,  0.06982767]], shape=(1000, 17), dtype=float32)

  • y_sea_water_velocity
    (trajectory, time)
    float32
    0.1046 0.0975 ... 0.08506 0.0845

    minval :

    -0.15163702

    maxval :

    0.17843722

    array([[ 0.10463738,  0.09750166,  0.09143377, ..., -0.09034176,
            -0.11543446, -0.13537003],
           [ 0.16189604,  0.14258766,  0.10423066, ..., -0.0311352 ,
            -0.04949226, -0.0653536 ],
           [ 0.11846498,  0.12889196,  0.13551562, ...,  0.00890591,
            -0.02146349, -0.05111038],
           ...,
           [ 0.13096647,  0.14587188,  0.15556085, ...,  0.03596134,
             0.02072104,  0.00719855],
           [ 0.08452237,  0.08524593,  0.08806531, ...,  0.09013972,
             0.08882822,  0.08778989],
           [ 0.11773563,  0.1173166 ,  0.11494715, ...,  0.08545264,
             0.08505735,  0.08449892]], shape=(1000, 17), dtype=float32)

  • sea_surface_height
    (trajectory, time)
    float32
    0.4329 0.4166 ... 0.1839 0.1709

    minval :

    0.15286748

    maxval :

    0.43597323

    array([[0.43292335, 0.4165746 , 0.40026605, ..., 0.20985389, 0.19413781,
            0.18113978],
           [0.42671713, 0.40887395, 0.3922047 , ..., 0.20352443, 0.18861961,
            0.17633028],
           [0.43128845, 0.414747  , 0.3976727 , ..., 0.2056616 , 0.19029927,
            0.17782566],
           ...,
           [0.4267774 , 0.40993518, 0.39258167, ..., 0.20151347, 0.1862191 ,
            0.1737566 ],
           [0.42316896, 0.4068736 , 0.39046595, ..., 0.19777855, 0.18216461,
            0.16912839],
           [0.4257891 , 0.4094062 , 0.3928822 , ..., 0.19952062, 0.18392287,
            0.1708705 ]], shape=(1000, 17), dtype=float32)

  • x_wind
    (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=(1000, 17), dtype=float32)

  • y_wind
    (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=(1000, 17), dtype=float32)

  • upward_sea_water_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=(1000, 17), 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=(1000, 17), dtype=float32)

  • sea_surface_wave_significant_height
    (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=(1000, 17), 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=(1000, 17), 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=(1000, 17), dtype=float32)

  • sea_floor_depth_below_sea_level
    (trajectory, time)
    float32
    300.2 295.4 293.5 ... 166.9 159.7

    minval :

    81.240234

    maxval :

    374.22107

    array([[300.2193 , 295.36343, 293.53345, ..., 341.46396, 352.88043,
            363.92258],
           [244.83344, 227.90446, 221.28603, ..., 223.62553, 236.30547,
            248.55759],
           [309.48007, 299.2717 , 285.0905 , ..., 238.37611, 245.53806,
            256.26038],
           ...,
           [265.4019 , 251.81877, 235.02663, ..., 183.7052 , 184.36366,
            186.81421],
           [276.11667, 269.16086, 263.58356, ..., 168.30388, 160.87384,
            153.99417],
           [302.48672, 291.23718, 280.44785, ..., 174.41487, 166.87842,
            159.67943]], shape=(1000, 17), 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=(1000, 17), 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 2026-10-26 17:11:48.449946

  date_created :

  2026-10-26T17:11:48.449953

  source :

  Output from simulation with OpenDrift

  model_url :

  https://github.com/OpenDrift/opendrift

  opendrift_class :

  OceanDrift

  opendrift_module :

  opendrift.models.oceandrift

  readers :

  odict_keys(['roms native'])

  time_coverage_start :

  2016-02-02 12:00:00

  time_step_calculation :

  0:30:00

  time_step_output :

  3:00:00

  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 :

  False

  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 :

  2026-10-26 17:11:48.455926

  reader_x_sea_water_velocity :

  ['roms native']

  reader_y_sea_water_velocity :

  ['roms native']

  reader_sea_surface_height :

  ['roms native']

  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 :

  ['roms native']

  reader_land_binary_mask :

  ['roms native']

  time_coverage_end :

  2016-02-04 12:00:00

  time_coverage_duration :

  P2DT0H0M0S

  time_coverage_resolution :

  P0DT0H30M0S

  performance :

  -------------------- Reader performance: -------------------- roms native 0:00:00.5 total 0:00:00.0 preparing 0:00:00.2 reading 0:00:00.1 interpolation 0:00:00.0 interpolation_time 0:00:00.2 rotating vectors 0:00:00.0 masking -------------------- Performance: 2.3 total time 0.0 configuration 0.0 preparing main loop 0.0 moving elements to ocean 2.3 main loop 0.0 updating elements 0.0 cleaning up --------------------

  geospatial_bounds_crs :

  EPSG:4326

  geospatial_bounds_vertical_crs :

  EPSG:5831

  geospatial_lat_min :

  68.01945

  geospatial_lat_max :

  68.26903

  geospatial_lat_units :

  degrees_north

  geospatial_lat_resolution :

  point

  geospatial_lon_min :

  14.301589

  geospatial_lon_max :

  15.362972

  geospatial_lon_units :

  degrees_east

  geospatial_lon_resolution :

  point

  runtime :

  0:00:02.343145

  geospatial_vertical_min :

  0.0

  geospatial_vertical_max :

  0.0

  geospatial_vertical_positive :

  up

from matplotlib.colors import ListedColormap
import cartopy.feature as cfeature
cmap = ListedColormap([cfeature.COLORS['water'],
                       cfeature.COLORS['land']])

To only show the landmask from the model, hide the coastline landmask by doing:

o2.plot(background='land_binary_mask', hide_landmask=True, cmap=cmap)

(<GeoAxes: title={'center': 'OpenDrift - OceanDrift\n2016-02-02 12:00 to 2016-02-04 12:00 UTC (17 steps)'}>, <Figure size 1100x988.303 with 2 Axes>)

Animation illustrating that red particles strand at ocean model land cells, and black particles strand at GSHHG land polygons

o.animation(compare=o2, background='land_binary_mask', cmap=cmap,
            legend=['Default GSHHG landmask', 'Ocean model landmask'])

17:12:09 INFO    opendrift:4889: Saving animation to /root/project/docs/source/gallery/animations/example_model_landmask_0.gif...
17:12:16 INFO    opendrift:3297: Time to make animation: 0:00:20.493561

o.plot(compare=o2, background='land_binary_mask', cmap=cmap,
       legend=['Default GSHHG landmask', 'Ocean model landmask'])

(<GeoAxes: title={'center': 'OpenDrift - OceanDrift\n2016-02-02 12:00 to 2016-02-04 12:00 UTC (17 steps)'}>, <Figure size 1100x1007.11 with 2 Axes>)