Ensemble

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

Drift simulation using 30 member ensemble wind data from MEPS model of MET Norway

o = OceanDrift(loglevel=20)
o.set_config('drift:vertical_mixing', False)
r = reader_netCDF_CF_generic.Reader('https://thredds.met.no/thredds/dodsC/mepslatest/meps_lagged_6_h_latest_2_5km_latest.nc')
o.add_reader(r)

o.seed_elements(lat=60, lon=4.9, time=r.start_time,
                radius=1000, number=10000)

o.run(duration=timedelta(hours=50), time_step=600, time_step_output=3600)

16:16:50 INFO    opendrift:576: OpenDriftSimulation initialised (version 1.14.6 / v1.14.6-23-g72ef044)
16:16:50 INFO    opendrift.readers:63: Opening file with xr.open_dataset
16:16:52 INFO    opendrift.readers.reader_netCDF_CF_generic:332: Detected dimensions: {'time': 'time', 'x': 'x', 'y': 'y'}
16:16:52 INFO    opendrift.models.basemodel.environment:203: Adding a global landmask from GSHHG
16:16:58 INFO    opendrift.models.basemodel.environment:227: Fallback values will be used for the following variables which have no readers:
16:16:58 INFO    opendrift.models.basemodel.environment:230:    x_sea_water_velocity: 0.000000
16:16:58 INFO    opendrift.models.basemodel.environment:230:    y_sea_water_velocity: 0.000000
16:16:58 INFO    opendrift.models.basemodel.environment:230:    sea_surface_height: 0.000000
16:16:58 INFO    opendrift.models.basemodel.environment:230:    upward_sea_water_velocity: 0.000000
16:16:58 INFO    opendrift.models.basemodel.environment:230:    ocean_vertical_diffusivity: 0.000000
16:16:58 INFO    opendrift.models.basemodel.environment:230:    sea_surface_wave_significant_height: 0.000000
16:16:58 INFO    opendrift.models.basemodel.environment:230:    sea_surface_wave_stokes_drift_x_velocity: 0.000000
16:16:58 INFO    opendrift.models.basemodel.environment:230:    sea_surface_wave_stokes_drift_y_velocity: 0.000000
16:16:58 INFO    opendrift.models.basemodel.environment:230:    ocean_mixed_layer_thickness: 50.000000
16:16:58 INFO    opendrift.models.basemodel.environment:230:    sea_floor_depth_below_sea_level: 10000.000000
16:16:58 INFO    opendrift:1803: Skipping environment variable ocean_vertical_diffusivity because of condition ['drift:vertical_mixing', 'is', False]
16:16:58 INFO    opendrift:1803: Skipping environment variable ocean_mixed_layer_thickness because of condition ['drift:vertical_mixing', 'is', False]
16:16:58 INFO    opendrift:1814: Storing previous values of element property lon because of condition (('general:coastline_action', 'in', ['stranding', 'previous']), 'or', ('general:seafloor_action', 'in', ['previous']))
16:16:58 INFO    opendrift:1814: Storing previous values of element property lat because of condition (('general:coastline_action', 'in', ['stranding', 'previous']), 'or', ('general:seafloor_action', 'in', ['previous']))
16:16:58 INFO    opendrift:1822: Storing previous values of environment variable sea_surface_height because of condition ['drift:vertical_advection', 'is', True]
16:16:58 INFO    opendrift:952: Using existing reader for land_binary_mask to move elements to ocean
16:16:58 INFO    opendrift:982: All points are in ocean
16:16:58 INFO    opendrift:2111: 2025-11-27 14:00:00 - step 1 of 300 - 10000 active elements (0 deactivated)
16:16:59 WARNING opendrift.readers.interpolation.structured:63: Ensemble data currently not extrapolated towards seafloor
16:16:59 WARNING opendrift.readers.interpolation.structured:63: Ensemble data currently not extrapolated towards seafloor
16:16:59 INFO    opendrift:2111: 2025-11-27 14:10:00 - step 2 of 300 - 10000 active elements (0 deactivated)
16:17:00 WARNING opendrift.readers.interpolation.structured:63: Ensemble data currently not extrapolated towards seafloor
16:17:00 WARNING opendrift.readers.interpolation.structured:63: Ensemble data currently not extrapolated towards seafloor
16:17:00 INFO    opendrift:2111: 2025-11-27 14:20:00 - step 3 of 300 - 10000 active elements (0 deactivated)
16:17:00 INFO    opendrift:2111: 2025-11-27 14:30:00 - step 4 of 300 - 10000 active elements (0 deactivated)
16:17:00 INFO    opendrift:2111: 2025-11-27 14:40:00 - step 5 of 300 - 10000 active elements (0 deactivated)
16:17:01 INFO    opendrift:2111: 2025-11-27 14:50:00 - step 6 of 300 - 10000 active elements (0 deactivated)
16:17:01 INFO    opendrift:2111: 2025-11-27 15:00:00 - step 7 of 300 - 10000 active elements (0 deactivated)
16:17:01 INFO    opendrift:2111: 2025-11-27 15:10:00 - step 8 of 300 - 10000 active elements (0 deactivated)
16:17:02 WARNING opendrift.readers.interpolation.structured:63: Ensemble data currently not extrapolated towards seafloor
16:17:03 WARNING opendrift.readers.interpolation.structured:63: Ensemble data currently not extrapolated towards seafloor
16:17:03 INFO    opendrift:2111: 2025-11-27 15:20:00 - step 9 of 300 - 10000 active elements (0 deactivated)
16:17:03 INFO    opendrift:2111: 2025-11-27 15:30:00 - step 10 of 300 - 10000 active elements (0 deactivated)
16:17:03 INFO    opendrift:2111: 2025-11-27 15:40:00 - step 11 of 300 - 10000 active elements (0 deactivated)
16:17:03 INFO    opendrift:2111: 2025-11-27 15:50:00 - step 12 of 300 - 10000 active elements (0 deactivated)
16:17:04 INFO    opendrift:2111: 2025-11-27 16:00:00 - step 13 of 300 - 10000 active elements (0 deactivated)
16:17:04 INFO    opendrift:2111: 2025-11-27 16:10:00 - step 14 of 300 - 10000 active elements (0 deactivated)
16:17:04 WARNING opendrift.readers.interpolation.structured:63: Ensemble data currently not extrapolated towards seafloor
16:17:04 WARNING opendrift.readers.interpolation.structured:63: Ensemble data currently not extrapolated towards seafloor
16:17:05 INFO    opendrift:2111: 2025-11-27 16:20:00 - step 15 of 300 - 10000 active elements (0 deactivated)
16:17:05 INFO    opendrift:2111: 2025-11-27 16:30:00 - step 16 of 300 - 10000 active elements (0 deactivated)
16:17:05 INFO    opendrift:2111: 2025-11-27 16:40:00 - step 17 of 300 - 10000 active elements (0 deactivated)
16:17:05 INFO    opendrift:2111: 2025-11-27 16:50:00 - step 18 of 300 - 10000 active elements (0 deactivated)
16:17:06 INFO    opendrift:2111: 2025-11-27 17:00:00 - step 19 of 300 - 10000 active elements (0 deactivated)
16:17:06 INFO    opendrift:2111: 2025-11-27 17:10:00 - step 20 of 300 - 10000 active elements (0 deactivated)
16:17:06 WARNING opendrift.readers.interpolation.structured:63: Ensemble data currently not extrapolated towards seafloor
16:17:06 WARNING opendrift.readers.interpolation.structured:63: Ensemble data currently not extrapolated towards seafloor
16:17:07 INFO    opendrift:2111: 2025-11-27 17:20:00 - step 21 of 300 - 10000 active elements (0 deactivated)
16:17:07 INFO    opendrift:2111: 2025-11-27 17:30:00 - step 22 of 300 - 10000 active elements (0 deactivated)
16:17:07 INFO    opendrift:2111: 2025-11-27 17:40:00 - step 23 of 300 - 10000 active elements (0 deactivated)
16:17:07 INFO    opendrift:2111: 2025-11-27 17:50:00 - step 24 of 300 - 10000 active elements (0 deactivated)
16:17:07 INFO    opendrift:2111: 2025-11-27 18:00:00 - step 25 of 300 - 10000 active elements (0 deactivated)
16:17:08 INFO    opendrift:2111: 2025-11-27 18:10:00 - step 26 of 300 - 10000 active elements (0 deactivated)
16:17:08 WARNING opendrift.readers.interpolation.structured:63: Ensemble data currently not extrapolated towards seafloor
16:17:08 WARNING opendrift.readers.interpolation.structured:63: Ensemble data currently not extrapolated towards seafloor
16:17:09 INFO    opendrift:2111: 2025-11-27 18:20:00 - step 27 of 300 - 10000 active elements (0 deactivated)
16:17:09 INFO    opendrift:2111: 2025-11-27 18:30:00 - step 28 of 300 - 10000 active elements (0 deactivated)
16:17:09 INFO    opendrift:2111: 2025-11-27 18:40:00 - step 29 of 300 - 10000 active elements (0 deactivated)
16:17:09 INFO    opendrift:2111: 2025-11-27 18:50:00 - step 30 of 300 - 10000 active elements (0 deactivated)
16:17:10 INFO    opendrift:2111: 2025-11-27 19:00:00 - step 31 of 300 - 10000 active elements (0 deactivated)
16:17:10 INFO    opendrift:2111: 2025-11-27 19:10:00 - step 32 of 300 - 10000 active elements (0 deactivated)
16:17:10 WARNING opendrift.readers.interpolation.structured:63: Ensemble data currently not extrapolated towards seafloor
16:17:10 WARNING opendrift.readers.interpolation.structured:63: Ensemble data currently not extrapolated towards seafloor
16:17:11 INFO    opendrift:2111: 2025-11-27 19:20:00 - step 33 of 300 - 10000 active elements (0 deactivated)
16:17:11 INFO    opendrift:2111: 2025-11-27 19:30:00 - step 34 of 300 - 10000 active elements (0 deactivated)
16:17:11 INFO    opendrift:2111: 2025-11-27 19:40:00 - step 35 of 300 - 10000 active elements (0 deactivated)
16:17:11 INFO    opendrift:2111: 2025-11-27 19:50:00 - step 36 of 300 - 10000 active elements (0 deactivated)
16:17:12 INFO    opendrift:2111: 2025-11-27 20:00:00 - step 37 of 300 - 10000 active elements (0 deactivated)
16:17:12 INFO    opendrift:2111: 2025-11-27 20:10:00 - step 38 of 300 - 10000 active elements (0 deactivated)
16:17:12 WARNING opendrift.readers.interpolation.structured:63: Ensemble data currently not extrapolated towards seafloor
16:17:12 WARNING opendrift.readers.interpolation.structured:63: Ensemble data currently not extrapolated towards seafloor
16:17:13 INFO    opendrift:2111: 2025-11-27 20:20:00 - step 39 of 300 - 10000 active elements (0 deactivated)
16:17:13 INFO    opendrift:2111: 2025-11-27 20:30:00 - step 40 of 300 - 10000 active elements (0 deactivated)
16:17:13 INFO    opendrift:2111: 2025-11-27 20:40:00 - step 41 of 300 - 10000 active elements (0 deactivated)
16:17:13 INFO    opendrift:2111: 2025-11-27 20:50:00 - step 42 of 300 - 10000 active elements (0 deactivated)
16:17:14 INFO    opendrift:2111: 2025-11-27 21:00:00 - step 43 of 300 - 10000 active elements (0 deactivated)
16:17:14 INFO    opendrift:2111: 2025-11-27 21:10:00 - step 44 of 300 - 10000 active elements (0 deactivated)
16:17:15 WARNING opendrift.readers.interpolation.structured:63: Ensemble data currently not extrapolated towards seafloor
16:17:15 WARNING opendrift.readers.interpolation.structured:63: Ensemble data currently not extrapolated towards seafloor
16:17:15 INFO    opendrift:2111: 2025-11-27 21:20:00 - step 45 of 300 - 10000 active elements (0 deactivated)
16:17:15 INFO    opendrift:2111: 2025-11-27 21:30:00 - step 46 of 300 - 10000 active elements (0 deactivated)
16:17:15 INFO    opendrift:2111: 2025-11-27 21:40:00 - step 47 of 300 - 10000 active elements (0 deactivated)
16:17:16 INFO    opendrift:2111: 2025-11-27 21:50:00 - step 48 of 300 - 10000 active elements (0 deactivated)
16:17:16 INFO    opendrift:2111: 2025-11-27 22:00:00 - step 49 of 300 - 10000 active elements (0 deactivated)
16:17:16 INFO    opendrift:2111: 2025-11-27 22:10:00 - step 50 of 300 - 10000 active elements (0 deactivated)
16:17:17 WARNING opendrift.readers.interpolation.structured:63: Ensemble data currently not extrapolated towards seafloor
16:17:17 WARNING opendrift.readers.interpolation.structured:63: Ensemble data currently not extrapolated towards seafloor
16:17:17 INFO    opendrift:2111: 2025-11-27 22:20:00 - step 51 of 300 - 10000 active elements (0 deactivated)
16:17:17 INFO    opendrift:2111: 2025-11-27 22:30:00 - step 52 of 300 - 10000 active elements (0 deactivated)
16:17:18 INFO    opendrift:2111: 2025-11-27 22:40:00 - step 53 of 300 - 10000 active elements (0 deactivated)
16:17:18 INFO    opendrift:2111: 2025-11-27 22:50:00 - step 54 of 300 - 10000 active elements (0 deactivated)
16:17:18 INFO    opendrift:2111: 2025-11-27 23:00:00 - step 55 of 300 - 10000 active elements (0 deactivated)
16:17:18 INFO    opendrift:2111: 2025-11-27 23:10:00 - step 56 of 300 - 10000 active elements (0 deactivated)
16:17:19 WARNING opendrift.readers.interpolation.structured:63: Ensemble data currently not extrapolated towards seafloor
16:17:19 WARNING opendrift.readers.interpolation.structured:63: Ensemble data currently not extrapolated towards seafloor
16:17:20 INFO    opendrift:2111: 2025-11-27 23:20:00 - step 57 of 300 - 10000 active elements (0 deactivated)
16:17:20 INFO    opendrift:2111: 2025-11-27 23:30:00 - step 58 of 300 - 10000 active elements (0 deactivated)
16:17:20 INFO    opendrift:2111: 2025-11-27 23:40:00 - step 59 of 300 - 10000 active elements (0 deactivated)
16:17:20 INFO    opendrift:2111: 2025-11-27 23:50:00 - step 60 of 300 - 10000 active elements (0 deactivated)
16:17:20 INFO    opendrift:2111: 2025-11-28 00:00:00 - step 61 of 300 - 10000 active elements (0 deactivated)
16:17:21 INFO    opendrift:2111: 2025-11-28 00:10:00 - step 62 of 300 - 10000 active elements (0 deactivated)
16:17:21 WARNING opendrift.readers.interpolation.structured:63: Ensemble data currently not extrapolated towards seafloor
16:17:21 WARNING opendrift.readers.interpolation.structured:63: Ensemble data currently not extrapolated towards seafloor
16:17:22 INFO    opendrift:2111: 2025-11-28 00:20:00 - step 63 of 300 - 10000 active elements (0 deactivated)
16:17:22 INFO    opendrift:2111: 2025-11-28 00:30:00 - step 64 of 300 - 10000 active elements (0 deactivated)
16:17:22 INFO    opendrift:2111: 2025-11-28 00:40:00 - step 65 of 300 - 10000 active elements (0 deactivated)
16:17:22 INFO    opendrift:2111: 2025-11-28 00:50:00 - step 66 of 300 - 10000 active elements (0 deactivated)
16:17:22 INFO    opendrift:2111: 2025-11-28 01:00:00 - step 67 of 300 - 10000 active elements (0 deactivated)
16:17:23 INFO    opendrift:2111: 2025-11-28 01:10:00 - step 68 of 300 - 10000 active elements (0 deactivated)
16:17:23 WARNING opendrift.readers.interpolation.structured:63: Ensemble data currently not extrapolated towards seafloor
16:17:23 WARNING opendrift.readers.interpolation.structured:63: Ensemble data currently not extrapolated towards seafloor
16:17:24 INFO    opendrift:2111: 2025-11-28 01:20:00 - step 69 of 300 - 10000 active elements (0 deactivated)
16:17:24 INFO    opendrift:2111: 2025-11-28 01:30:00 - step 70 of 300 - 10000 active elements (0 deactivated)
16:17:24 INFO    opendrift:2111: 2025-11-28 01:40:00 - step 71 of 300 - 10000 active elements (0 deactivated)
16:17:24 INFO    opendrift:2111: 2025-11-28 01:50:00 - step 72 of 300 - 10000 active elements (0 deactivated)
16:17:24 INFO    opendrift:2111: 2025-11-28 02:00:00 - step 73 of 300 - 10000 active elements (0 deactivated)
16:17:25 INFO    opendrift:2111: 2025-11-28 02:10:00 - step 74 of 300 - 10000 active elements (0 deactivated)
16:17:25 WARNING opendrift.readers.interpolation.structured:63: Ensemble data currently not extrapolated towards seafloor
16:17:25 WARNING opendrift.readers.interpolation.structured:63: Ensemble data currently not extrapolated towards seafloor
16:17:26 INFO    opendrift:2111: 2025-11-28 02:20:00 - step 75 of 300 - 10000 active elements (0 deactivated)
16:17:26 INFO    opendrift:2111: 2025-11-28 02:30:00 - step 76 of 300 - 10000 active elements (0 deactivated)
16:17:26 INFO    opendrift:2111: 2025-11-28 02:40:00 - step 77 of 300 - 10000 active elements (0 deactivated)
16:17:26 INFO    opendrift:2111: 2025-11-28 02:50:00 - step 78 of 300 - 10000 active elements (0 deactivated)
16:17:26 INFO    opendrift:2111: 2025-11-28 03:00:00 - step 79 of 300 - 10000 active elements (0 deactivated)
16:17:27 INFO    opendrift:2111: 2025-11-28 03:10:00 - step 80 of 300 - 10000 active elements (0 deactivated)
16:17:27 WARNING opendrift.readers.interpolation.structured:63: Ensemble data currently not extrapolated towards seafloor
16:17:27 WARNING opendrift.readers.interpolation.structured:63: Ensemble data currently not extrapolated towards seafloor
16:17:28 INFO    opendrift:2111: 2025-11-28 03:20:00 - step 81 of 300 - 10000 active elements (0 deactivated)
16:17:28 INFO    opendrift:2111: 2025-11-28 03:30:00 - step 82 of 300 - 10000 active elements (0 deactivated)
16:17:28 INFO    opendrift:2111: 2025-11-28 03:40:00 - step 83 of 300 - 10000 active elements (0 deactivated)
16:17:30 INFO    opendrift:2111: 2025-11-28 03:50:00 - step 84 of 300 - 10000 active elements (0 deactivated)
16:17:30 INFO    opendrift:2111: 2025-11-28 04:00:00 - step 85 of 300 - 10000 active elements (0 deactivated)
16:17:33 INFO    opendrift:2111: 2025-11-28 04:10:00 - step 86 of 300 - 9999 active elements (1 deactivated)
16:17:34 WARNING opendrift.readers.interpolation.structured:63: Ensemble data currently not extrapolated towards seafloor
16:17:34 WARNING opendrift.readers.interpolation.structured:63: Ensemble data currently not extrapolated towards seafloor
16:17:34 INFO    opendrift:2111: 2025-11-28 04:20:00 - step 87 of 300 - 9999 active elements (1 deactivated)
16:17:34 INFO    opendrift:2111: 2025-11-28 04:30:00 - step 88 of 300 - 9998 active elements (2 deactivated)
16:17:35 INFO    opendrift:2111: 2025-11-28 04:40:00 - step 89 of 300 - 9996 active elements (4 deactivated)
16:17:35 INFO    opendrift:2111: 2025-11-28 04:50:00 - step 90 of 300 - 9995 active elements (5 deactivated)
16:17:35 INFO    opendrift:2111: 2025-11-28 05:00:00 - step 91 of 300 - 9993 active elements (7 deactivated)
16:17:35 INFO    opendrift:2111: 2025-11-28 05:10:00 - step 92 of 300 - 9990 active elements (10 deactivated)
16:17:36 WARNING opendrift.readers.interpolation.structured:63: Ensemble data currently not extrapolated towards seafloor
16:17:36 WARNING opendrift.readers.interpolation.structured:63: Ensemble data currently not extrapolated towards seafloor
16:17:36 INFO    opendrift:2111: 2025-11-28 05:20:00 - step 93 of 300 - 9983 active elements (17 deactivated)
16:17:37 INFO    opendrift:2111: 2025-11-28 05:30:00 - step 94 of 300 - 9970 active elements (30 deactivated)
16:17:37 INFO    opendrift:2111: 2025-11-28 05:40:00 - step 95 of 300 - 9957 active elements (43 deactivated)
16:17:37 INFO    opendrift:2111: 2025-11-28 05:50:00 - step 96 of 300 - 9945 active elements (55 deactivated)
16:17:38 INFO    opendrift:2111: 2025-11-28 06:00:00 - step 97 of 300 - 9930 active elements (70 deactivated)
16:17:38 INFO    opendrift:2111: 2025-11-28 06:10:00 - step 98 of 300 - 9876 active elements (124 deactivated)
16:17:38 WARNING opendrift.readers.interpolation.structured:63: Ensemble data currently not extrapolated towards seafloor
16:17:38 WARNING opendrift.readers.interpolation.structured:63: Ensemble data currently not extrapolated towards seafloor
16:17:39 INFO    opendrift:2111: 2025-11-28 06:20:00 - step 99 of 300 - 9816 active elements (184 deactivated)
16:17:39 INFO    opendrift:2111: 2025-11-28 06:30:00 - step 100 of 300 - 9750 active elements (250 deactivated)
16:17:39 INFO    opendrift:2111: 2025-11-28 06:40:00 - step 101 of 300 - 9660 active elements (340 deactivated)
16:17:39 INFO    opendrift:2111: 2025-11-28 06:50:00 - step 102 of 300 - 9536 active elements (464 deactivated)
16:17:40 INFO    opendrift:2111: 2025-11-28 07:00:00 - step 103 of 300 - 9405 active elements (595 deactivated)
16:17:40 INFO    opendrift:2111: 2025-11-28 07:10:00 - step 104 of 300 - 9256 active elements (744 deactivated)
16:17:40 WARNING opendrift.readers.interpolation.structured:63: Ensemble data currently not extrapolated towards seafloor
16:17:40 WARNING opendrift.readers.interpolation.structured:63: Ensemble data currently not extrapolated towards seafloor
16:17:41 INFO    opendrift:2111: 2025-11-28 07:20:00 - step 105 of 300 - 9118 active elements (882 deactivated)
16:17:41 INFO    opendrift:2111: 2025-11-28 07:30:00 - step 106 of 300 - 8952 active elements (1048 deactivated)
16:17:41 INFO    opendrift:2111: 2025-11-28 07:40:00 - step 107 of 300 - 8773 active elements (1227 deactivated)
16:17:41 INFO    opendrift:2111: 2025-11-28 07:50:00 - step 108 of 300 - 8579 active elements (1421 deactivated)
16:17:41 INFO    opendrift:2111: 2025-11-28 08:00:00 - step 109 of 300 - 8375 active elements (1625 deactivated)
16:17:42 INFO    opendrift:2111: 2025-11-28 08:10:00 - step 110 of 300 - 8198 active elements (1802 deactivated)
16:17:42 WARNING opendrift.readers.interpolation.structured:63: Ensemble data currently not extrapolated towards seafloor
16:17:42 WARNING opendrift.readers.interpolation.structured:63: Ensemble data currently not extrapolated towards seafloor
16:17:43 INFO    opendrift:2111: 2025-11-28 08:20:00 - step 111 of 300 - 7972 active elements (2028 deactivated)
16:17:43 INFO    opendrift:2111: 2025-11-28 08:30:00 - step 112 of 300 - 7762 active elements (2238 deactivated)
16:17:43 INFO    opendrift:2111: 2025-11-28 08:40:00 - step 113 of 300 - 7510 active elements (2490 deactivated)
16:17:43 INFO    opendrift:2111: 2025-11-28 08:50:00 - step 114 of 300 - 7252 active elements (2748 deactivated)
16:17:44 INFO    opendrift:2111: 2025-11-28 09:00:00 - step 115 of 300 - 6956 active elements (3044 deactivated)
16:17:44 INFO    opendrift:2111: 2025-11-28 09:10:00 - step 116 of 300 - 6666 active elements (3334 deactivated)
16:17:44 WARNING opendrift.readers.interpolation.structured:63: Ensemble data currently not extrapolated towards seafloor
16:17:44 WARNING opendrift.readers.interpolation.structured:63: Ensemble data currently not extrapolated towards seafloor
16:17:45 INFO    opendrift:2111: 2025-11-28 09:20:00 - step 117 of 300 - 6299 active elements (3701 deactivated)
16:17:45 INFO    opendrift:2111: 2025-11-28 09:30:00 - step 118 of 300 - 5839 active elements (4161 deactivated)
16:17:45 INFO    opendrift:2111: 2025-11-28 09:40:00 - step 119 of 300 - 5365 active elements (4635 deactivated)
16:17:45 INFO    opendrift:2111: 2025-11-28 09:50:00 - step 120 of 300 - 4932 active elements (5068 deactivated)
16:17:46 INFO    opendrift:2111: 2025-11-28 10:00:00 - step 121 of 300 - 4428 active elements (5572 deactivated)
16:17:46 INFO    opendrift:2111: 2025-11-28 10:10:00 - step 122 of 300 - 3934 active elements (6066 deactivated)
16:17:46 WARNING opendrift.readers.interpolation.structured:63: Ensemble data currently not extrapolated towards seafloor
16:17:46 WARNING opendrift.readers.interpolation.structured:63: Ensemble data currently not extrapolated towards seafloor
16:17:47 INFO    opendrift:2111: 2025-11-28 10:20:00 - step 123 of 300 - 3446 active elements (6554 deactivated)
16:17:47 INFO    opendrift:2111: 2025-11-28 10:30:00 - step 124 of 300 - 2984 active elements (7016 deactivated)
16:17:47 INFO    opendrift:2111: 2025-11-28 10:40:00 - step 125 of 300 - 2545 active elements (7455 deactivated)
16:17:47 INFO    opendrift:2111: 2025-11-28 10:50:00 - step 126 of 300 - 2154 active elements (7846 deactivated)
16:17:47 INFO    opendrift:2111: 2025-11-28 11:00:00 - step 127 of 300 - 1803 active elements (8197 deactivated)
16:17:47 INFO    opendrift:2111: 2025-11-28 11:10:00 - step 128 of 300 - 1491 active elements (8509 deactivated)
16:17:48 WARNING opendrift.readers.interpolation.structured:63: Ensemble data currently not extrapolated towards seafloor
16:17:48 WARNING opendrift.readers.interpolation.structured:63: Ensemble data currently not extrapolated towards seafloor
16:17:48 INFO    opendrift:2111: 2025-11-28 11:20:00 - step 129 of 300 - 1201 active elements (8799 deactivated)
16:17:48 INFO    opendrift:2111: 2025-11-28 11:30:00 - step 130 of 300 - 955 active elements (9045 deactivated)
16:17:48 INFO    opendrift:2111: 2025-11-28 11:40:00 - step 131 of 300 - 750 active elements (9250 deactivated)
16:17:48 INFO    opendrift:2111: 2025-11-28 11:50:00 - step 132 of 300 - 600 active elements (9400 deactivated)
16:17:48 INFO    opendrift:2111: 2025-11-28 12:00:00 - step 133 of 300 - 476 active elements (9524 deactivated)
16:17:48 INFO    opendrift:2111: 2025-11-28 12:10:00 - step 134 of 300 - 384 active elements (9616 deactivated)
16:17:49 WARNING opendrift.readers.interpolation.structured:63: Ensemble data currently not extrapolated towards seafloor
16:17:49 WARNING opendrift.readers.interpolation.structured:63: Ensemble data currently not extrapolated towards seafloor
16:17:49 INFO    opendrift:2111: 2025-11-28 12:20:00 - step 135 of 300 - 297 active elements (9703 deactivated)
16:17:49 INFO    opendrift:2111: 2025-11-28 12:30:00 - step 136 of 300 - 221 active elements (9779 deactivated)
16:17:49 INFO    opendrift:2111: 2025-11-28 12:40:00 - step 137 of 300 - 171 active elements (9829 deactivated)
16:17:49 INFO    opendrift:2111: 2025-11-28 12:50:00 - step 138 of 300 - 125 active elements (9875 deactivated)
16:17:49 INFO    opendrift:2111: 2025-11-28 13:00:00 - step 139 of 300 - 103 active elements (9897 deactivated)
16:17:49 INFO    opendrift:2111: 2025-11-28 13:10:00 - step 140 of 300 - 81 active elements (9919 deactivated)
16:17:50 WARNING opendrift.readers.interpolation.structured:63: Ensemble data currently not extrapolated towards seafloor
16:17:50 WARNING opendrift.readers.interpolation.structured:63: Ensemble data currently not extrapolated towards seafloor
16:17:50 INFO    opendrift:2111: 2025-11-28 13:20:00 - step 141 of 300 - 60 active elements (9940 deactivated)
16:17:50 INFO    opendrift:2111: 2025-11-28 13:30:00 - step 142 of 300 - 52 active elements (9948 deactivated)
16:17:50 INFO    opendrift:2111: 2025-11-28 13:40:00 - step 143 of 300 - 41 active elements (9959 deactivated)
16:17:50 INFO    opendrift:2111: 2025-11-28 13:50:00 - step 144 of 300 - 32 active elements (9968 deactivated)
16:17:50 INFO    opendrift:2111: 2025-11-28 14:00:00 - step 145 of 300 - 26 active elements (9974 deactivated)
16:17:50 INFO    opendrift:2111: 2025-11-28 14:10:00 - step 146 of 300 - 20 active elements (9980 deactivated)
16:17:51 WARNING opendrift.readers.interpolation.structured:63: Ensemble data currently not extrapolated towards seafloor
16:17:51 WARNING opendrift.readers.interpolation.structured:63: Ensemble data currently not extrapolated towards seafloor
16:17:51 INFO    opendrift:2111: 2025-11-28 14:20:00 - step 147 of 300 - 15 active elements (9985 deactivated)
16:17:51 INFO    opendrift:2111: 2025-11-28 14:30:00 - step 148 of 300 - 14 active elements (9986 deactivated)
16:17:51 INFO    opendrift:2111: 2025-11-28 14:40:00 - step 149 of 300 - 11 active elements (9989 deactivated)
16:17:51 INFO    opendrift:2111: 2025-11-28 14:50:00 - step 150 of 300 - 9 active elements (9991 deactivated)
16:17:51 INFO    opendrift:2111: 2025-11-28 15:00:00 - step 151 of 300 - 9 active elements (9991 deactivated)
16:17:52 INFO    opendrift:2111: 2025-11-28 15:10:00 - step 152 of 300 - 5 active elements (9995 deactivated)
16:17:52 WARNING opendrift.readers.interpolation.structured:63: Ensemble data currently not extrapolated towards seafloor
16:17:52 WARNING opendrift.readers.interpolation.structured:63: Ensemble data currently not extrapolated towards seafloor
16:17:52 INFO    opendrift:2111: 2025-11-28 15:20:00 - step 153 of 300 - 2 active elements (9998 deactivated)
16:17:52 INFO    opendrift:2111: 2025-11-28 15:30:00 - step 154 of 300 - 2 active elements (9998 deactivated)
16:17:52 INFO    opendrift:2111: 2025-11-28 15:40:00 - step 155 of 300 - 1 active elements (9999 deactivated)
16:17:53 INFO    opendrift:2111: 2025-11-28 15:50:00 - step 156 of 300 - 1 active elements (9999 deactivated)
16:17:53 INFO    opendrift:2111: 2025-11-28 16:00:00 - step 157 of 300 - 1 active elements (9999 deactivated)
16:17:53 INFO    opendrift:2111: 2025-11-28 16:10:00 - step 158 of 300 - 1 active elements (9999 deactivated)
16:17:53 WARNING opendrift.readers.interpolation.structured:63: Ensemble data currently not extrapolated towards seafloor
16:17:53 WARNING opendrift.readers.interpolation.structured:63: Ensemble data currently not extrapolated towards seafloor
16:17:53 INFO    opendrift:2111: 2025-11-28 16:20:00 - step 159 of 300 - 1 active elements (9999 deactivated)
16:17:53 INFO    opendrift:2111: 2025-11-28 16:30:00 - step 160 of 300 - 1 active elements (9999 deactivated)
16:17:53 INFO    opendrift:2111: 2025-11-28 16:40:00 - step 161 of 300 - 1 active elements (9999 deactivated)
16:17:53 INFO    opendrift:2111: 2025-11-28 16:50:00 - step 162 of 300 - 1 active elements (9999 deactivated)
16:17:53 INFO    opendrift:2111: 2025-11-28 17:00:00 - step 163 of 300 - 1 active elements (9999 deactivated)
16:17:53 WARNING opendrift:2186: The simulation stopped before requested end time was reached.
16:17:53 INFO    opendrift:2188: ========================
16:17:53 INFO    opendrift:2189: End of simulation:
16:17:53 INFO    opendrift:2190: No more active or scheduled elements, quitting.
16:17:53 INFO    opendrift:2191: Traceback (most recent call last):
  File "/root/project/opendrift/models/basemodel/__init__.py", line 2173, in run
    raise ValueError('No more active or scheduled elements, quitting.')
ValueError: No more active or scheduled elements, quitting.

16:17:53 INFO    opendrift:2192: 'The simulation stopped before requested end time was reached.'

16:17:53 INFO    opendrift:2195: ========================

<xarray.Dataset> Size: 24MB
Dimensions:                                   (trajectory: 10000, time: 28)
Coordinates:
  * trajectory                                (trajectory) int64 80kB 0 ... 9999
  * time                                      (time) datetime64[ns] 224B 2025...
Data variables: (12/21)
    status                                    (trajectory, time) float32 1MB ...
    moving                                    (trajectory, time) float32 1MB ...
    age_seconds                               (trajectory, time) float32 1MB ...
    origin_marker                             (trajectory, time) float32 1MB ...
    lon                                       (trajectory, time) float32 1MB ...
    lat                                       (trajectory, time) float32 1MB ...
    ...                                        ...
    upward_sea_water_velocity                 (trajectory, time) float32 1MB ...
    sea_surface_wave_significant_height       (trajectory, time) float32 1MB ...
    sea_surface_wave_stokes_drift_x_velocity  (trajectory, time) float32 1MB ...
    sea_surface_wave_stokes_drift_y_velocity  (trajectory, time) float32 1MB ...
    sea_floor_depth_below_sea_level           (trajectory, time) float32 1MB ...
    land_binary_mask                          (trajectory, time) float32 1MB ...
Attributes: (12/119)
    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: 10000
  • time: 28
• Coordinates: (2)
  • trajectory
    (trajectory)
    int64
    0 1 2 3 4 ... 9996 9997 9998 9999

    cf_role :

    trajectory_id

    dtype :

    <class 'numpy.int32'>

    array([   0,    1,    2, ..., 9997, 9998, 9999], shape=(10000,))

  • time
    (time)
    datetime64[ns]
    2025-11-27T14:00:00 ... 2025-11-...

    standard_name :

    time

    long_name :

    time

    dtype :

    <class 'numpy.float64'>

    array(['2025-11-27T14:00:00.000000000', '2025-11-27T15:00:00.000000000',
           '2025-11-27T16:00:00.000000000', '2025-11-27T17:00:00.000000000',
           '2025-11-27T18:00:00.000000000', '2025-11-27T19:00:00.000000000',
           '2025-11-27T20:00:00.000000000', '2025-11-27T21:00:00.000000000',
           '2025-11-27T22:00:00.000000000', '2025-11-27T23:00:00.000000000',
           '2025-11-28T00:00:00.000000000', '2025-11-28T01:00:00.000000000',
           '2025-11-28T02:00:00.000000000', '2025-11-28T03:00:00.000000000',
           '2025-11-28T04:00:00.000000000', '2025-11-28T05:00:00.000000000',
           '2025-11-28T06:00:00.000000000', '2025-11-28T07:00:00.000000000',
           '2025-11-28T08:00:00.000000000', '2025-11-28T09:00:00.000000000',
           '2025-11-28T10:00:00.000000000', '2025-11-28T11:00:00.000000000',
           '2025-11-28T12:00:00.000000000', '2025-11-28T13:00:00.000000000',
           '2025-11-28T14:00:00.000000000', '2025-11-28T15:00:00.000000000',
           '2025-11-28T16:00:00.000000000', '2025-11-28T17:00:00.000000000'],
          dtype='datetime64[ns]')

• Data variables: (21)
  • 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., ..., nan, nan, nan],
           [ 0.,  0.,  0., ..., nan, nan, nan],
           [ 0.,  0.,  0., ..., nan, nan, nan],
           ...,
           [ 0.,  0.,  0., ..., nan, nan, nan],
           [ 0.,  0.,  0., ..., nan, nan, nan],
           [ 0.,  0.,  0., ..., nan, nan, nan]],
          shape=(10000, 28), 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., ..., nan, nan, nan],
           [ 1.,  1.,  1., ..., nan, nan, nan],
           [ 1.,  1.,  1., ..., nan, nan, nan],
           ...,
           [ 1.,  1.,  1., ..., nan, nan, nan],
           [ 1.,  1.,  1., ..., nan, nan, nan],
           [ 1.,  1.,  1., ..., nan, nan, nan]],
          shape=(10000, 28), dtype=float32)

  • age_seconds
    (trajectory, time)
    float32
    0.0 3.6e+03 7.2e+03 ... nan nan nan

    dtype :

    <class 'numpy.float32'>

    units :

    s

    minval :

    0.0

    maxval :

    97200.0

    array([[   0., 3600., 7200., ...,   nan,   nan,   nan],
           [   0., 3600., 7200., ...,   nan,   nan,   nan],
           [   0., 3600., 7200., ...,   nan,   nan,   nan],
           ...,
           [   0., 3600., 7200., ...,   nan,   nan,   nan],
           [   0., 3600., 7200., ...,   nan,   nan,   nan],
           [   0., 3600., 7200., ...,   nan,   nan,   nan]],
          shape=(10000, 28), 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., ..., nan, nan, nan],
           [ 0.,  0.,  0., ..., nan, nan, nan],
           [ 0.,  0.,  0., ..., nan, nan, nan],
           ...,
           [ 0.,  0.,  0., ..., nan, nan, nan],
           [ 0.,  0.,  0., ..., nan, nan, nan],
           [ 0.,  0.,  0., ..., nan, nan, nan]],
          shape=(10000, 28), dtype=float32)

  • lon
    (trajectory, time)
    float32
    4.932 4.934 4.933 ... nan nan nan

    dtype :

    <class 'numpy.float32'>

    units :

    degrees_east

    standard_name :

    longitude

    long_name :

    longitude

    axis :

    X

    minval :

    4.8321867

    maxval :

    5.069102

    array([[4.931612 , 4.9336753, 4.9333167, ...,       nan,       nan,
                  nan],
           [4.90717  , 4.9070907, 4.905017 , ...,       nan,       nan,
                  nan],
           [4.917548 , 4.92061  , 4.922408 , ...,       nan,       nan,
                  nan],
           ...,
           [4.9092627, 4.9124947, 4.9135184, ...,       nan,       nan,
                  nan],
           [4.8994102, 4.902201 , 4.903183 , ...,       nan,       nan,
                  nan],
           [4.9232616, 4.92564  , 4.926054 , ...,       nan,       nan,
                  nan]], shape=(10000, 28), dtype=float32)

  • lat
    (trajectory, time)
    float32
    60.0 60.0 60.01 ... nan nan nan

    dtype :

    <class 'numpy.float32'>

    units :

    degrees_north

    standard_name :

    latitude

    long_name :

    latitude

    axis :

    Y

    minval :

    59.960087

    maxval :

    60.219627

    array([[59.99818 , 60.001717, 60.006382, ...,       nan,       nan,
                  nan],
           [59.99252 , 59.99466 , 59.998688, ...,       nan,       nan,
                  nan],
           [60.01556 , 60.019096, 60.02346 , ...,       nan,       nan,
                  nan],
           ...,
           [59.999485, 60.004604, 60.010094, ...,       nan,       nan,
                  nan],
           [59.990494, 59.9947  , 59.99992 , ...,       nan,       nan,
                  nan],
           [59.997066, 60.00169 , 60.008068, ...,       nan,       nan,
                  nan]], shape=(10000, 28), 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., ..., nan, nan, nan],
           [ 0.,  0.,  0., ..., nan, nan, nan],
           [ 0.,  0.,  0., ..., nan, nan, nan],
           ...,
           [ 0.,  0.,  0., ..., nan, nan, nan],
           [ 0.,  0.,  0., ..., nan, nan, nan],
           [ 0.,  0.,  0., ..., nan, nan, nan]],
          shape=(10000, 28), 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, ...,  nan,  nan,  nan],
           [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],
           [0.02, 0.02, 0.02, ...,  nan,  nan,  nan],
           [0.02, 0.02, 0.02, ...,  nan,  nan,  nan]],
          shape=(10000, 28), 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., ..., nan, nan, nan],
           [ 1.,  1.,  1., ..., nan, nan, nan],
           [ 1.,  1.,  1., ..., nan, nan, nan],
           ...,
           [ 1.,  1.,  1., ..., nan, nan, nan],
           [ 1.,  1.,  1., ..., nan, nan, nan],
           [ 1.,  1.,  1., ..., nan, nan, nan]],
          shape=(10000, 28), 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., ..., nan, nan, nan],
           [ 0.,  0.,  0., ..., nan, nan, nan],
           [ 0.,  0.,  0., ..., nan, nan, nan],
           ...,
           [ 0.,  0.,  0., ..., nan, nan, nan],
           [ 0.,  0.,  0., ..., nan, nan, nan],
           [ 0.,  0.,  0., ..., nan, nan, nan]],
          shape=(10000, 28), dtype=float32)

  • x_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., ..., nan, nan, nan],
           [ 0.,  0.,  0., ..., nan, nan, nan],
           [ 0.,  0.,  0., ..., nan, nan, nan],
           ...,
           [ 0.,  0.,  0., ..., nan, nan, nan],
           [ 0.,  0.,  0., ..., nan, nan, nan],
           [ 0.,  0.,  0., ..., nan, nan, nan]],
          shape=(10000, 28), dtype=float32)

  • y_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., ..., nan, nan, nan],
           [ 0.,  0.,  0., ..., nan, nan, nan],
           [ 0.,  0.,  0., ..., nan, nan, nan],
           ...,
           [ 0.,  0.,  0., ..., nan, nan, nan],
           [ 0.,  0.,  0., ..., nan, nan, nan],
           [ 0.,  0.,  0., ..., nan, nan, nan]],
          shape=(10000, 28), 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., ..., nan, nan, nan],
           [ 0.,  0.,  0., ..., nan, nan, nan],
           [ 0.,  0.,  0., ..., nan, nan, nan],
           ...,
           [ 0.,  0.,  0., ..., nan, nan, nan],
           [ 0.,  0.,  0., ..., nan, nan, nan],
           [ 0.,  0.,  0., ..., nan, nan, nan]],
          shape=(10000, 28), dtype=float32)

  • x_wind
    (trajectory, time)
    float32
    2.335 0.5542 -1.44 ... nan nan nan

    minval :

    -5.9948425

    maxval :

    10.543929

    array([[ 2.33538   ,  0.5542179 , -1.4395684 , ...,         nan,
                    nan,         nan],
           [ 0.50166506, -0.85116154, -2.6643772 , ...,         nan,
                    nan,         nan],
           [ 2.1714766 ,  2.6462967 , -0.33877853, ...,         nan,
                    nan,         nan],
           ...,
           [ 3.6911156 ,  0.85018307,  0.7347837 , ...,         nan,
                    nan,         nan],
           [ 2.4994829 ,  1.6895589 , -0.55389017, ...,         nan,
                    nan,         nan],
           [ 1.8690461 ,  1.8429736 , -1.8307921 , ...,         nan,
                    nan,         nan]], shape=(10000, 28), dtype=float32)

  • y_wind
    (trajectory, time)
    float32
    4.612 6.667 7.987 ... nan nan nan

    minval :

    0.31779757

    maxval :

    19.48175

    array([[ 4.611646 ,  6.6673007,  7.986699 , ...,        nan,        nan,
                   nan],
           [ 2.5554318,  4.3667536,  8.833558 , ...,        nan,        nan,
                   nan],
           [ 5.2651877,  5.770337 ,  8.118003 , ...,        nan,        nan,
                   nan],
           ...,
           [ 7.092252 ,  9.112318 ,  7.648599 , ...,        nan,        nan,
                   nan],
           [ 5.7535434,  7.580781 ,  8.747044 , ...,        nan,        nan,
                   nan],
           [ 6.006479 ,  8.776966 , 11.416326 , ...,        nan,        nan,
                   nan]], shape=(10000, 28), 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., ..., nan, nan, nan],
           [ 0.,  0.,  0., ..., nan, nan, nan],
           [ 0.,  0.,  0., ..., nan, nan, nan],
           ...,
           [ 0.,  0.,  0., ..., nan, nan, nan],
           [ 0.,  0.,  0., ..., nan, nan, nan],
           [ 0.,  0.,  0., ..., nan, nan, nan]],
          shape=(10000, 28), dtype=float32)

  • sea_surface_wave_significant_height
    (trajectory, time)
    float32
    0.6573 1.101 1.62 ... nan nan nan

    minval :

    0.12529191

    maxval :

    10.301974

    array([[0.65734345, 1.1010973 , 1.6201493 , ...,        nan,        nan,
                   nan],
           [0.16683474, 0.48690814, 2.094214  , ...,        nan,        nan,
                   nan],
           [0.7979628 , 0.99137205, 1.6240118 , ...,        nan,        nan,
                   nan],
           ...,
           [1.5725394 , 2.060426  , 1.452408  , ...,        nan,        nan,
                   nan],
           [0.96802664, 1.483942  , 1.8897119 , ...,        nan,        nan,
                   nan],
           [0.97344965, 1.9786195 , 3.2886338 , ...,        nan,        nan,
                   nan]], shape=(10000, 28), 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., ..., nan, nan, nan],
           [ 0.,  0.,  0., ..., nan, nan, nan],
           [ 0.,  0.,  0., ..., nan, nan, nan],
           ...,
           [ 0.,  0.,  0., ..., nan, nan, nan],
           [ 0.,  0.,  0., ..., nan, nan, nan],
           [ 0.,  0.,  0., ..., nan, nan, nan]],
          shape=(10000, 28), 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., ..., nan, nan, nan],
           [ 0.,  0.,  0., ..., nan, nan, nan],
           [ 0.,  0.,  0., ..., nan, nan, nan],
           ...,
           [ 0.,  0.,  0., ..., nan, nan, nan],
           [ 0.,  0.,  0., ..., nan, nan, nan],
           [ 0.,  0.,  0., ..., nan, nan, nan]],
          shape=(10000, 28), 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., ...,    nan,    nan,    nan],
           [10000., 10000., 10000., ...,    nan,    nan,    nan],
           [10000., 10000., 10000., ...,    nan,    nan,    nan],
           ...,
           [10000., 10000., 10000., ...,    nan,    nan,    nan],
           [10000., 10000., 10000., ...,    nan,    nan,    nan],
           [10000., 10000., 10000., ...,    nan,    nan,    nan]],
          shape=(10000, 28), 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., ..., nan, nan, nan],
           [ 0.,  0.,  0., ..., nan, nan, nan],
           [ 0.,  0.,  0., ..., nan, nan, nan],
           ...,
           [ 0.,  0.,  0., ..., nan, nan, nan],
           [ 0.,  0.,  0., ..., nan, nan, nan],
           [ 0.,  0.,  0., ..., nan, nan, nan]],
          shape=(10000, 28), dtype=float32)

• Indexes: (2)
  • trajectory
    PandasIndex

    PandasIndex(Index([   0,    1,    2,    3,    4,    5,    6,    7,    8,    9,
           ...
           9990, 9991, 9992, 9993, 9994, 9995, 9996, 9997, 9998, 9999],
          dtype='int64', name='trajectory', length=10000))

  • time
    PandasIndex

    PandasIndex(DatetimeIndex(['2025-11-27 14:00:00', '2025-11-27 15:00:00',
                   '2025-11-27 16:00:00', '2025-11-27 17:00:00',
                   '2025-11-27 18:00:00', '2025-11-27 19:00:00',
                   '2025-11-27 20:00:00', '2025-11-27 21:00:00',
                   '2025-11-27 22:00:00', '2025-11-27 23:00:00',
                   '2025-11-28 00:00:00', '2025-11-28 01:00:00',
                   '2025-11-28 02:00:00', '2025-11-28 03:00:00',
                   '2025-11-28 04:00:00', '2025-11-28 05:00:00',
                   '2025-11-28 06:00:00', '2025-11-28 07:00:00',
                   '2025-11-28 08:00:00', '2025-11-28 09:00:00',
                   '2025-11-28 10:00:00', '2025-11-28 11:00:00',
                   '2025-11-28 12:00:00', '2025-11-28 13:00:00',
                   '2025-11-28 14:00:00', '2025-11-28 15:00:00',
                   '2025-11-28 16:00:00', '2025-11-28 17:00:00'],
                  dtype='datetime64[ns]', name='time', freq='h'))

• Attributes: (119)

  Conventions :

  CF-1.11, ACDD-1.3

  standard_name_vocabulary :

  CF Standard Name Table v85

  featureType :

  trajectory

  title :

  OpenDrift trajectory simulation

  summary :

  Output from simulation with OpenDrift framework

  keywords :

  trajectory, drift, lagrangian, simulation

  history :

  Created 2025-11-27 16:16:58.161342

  date_created :

  2025-11-27T16:16:58.161365

  source :

  Output from simulation with OpenDrift

  model_url :

  https://github.com/OpenDrift/opendrift

  opendrift_class :

  OceanDrift

  opendrift_module :

  opendrift.models.oceandrift

  readers :

  odict_keys(['https://thredds.met.no/thredds/dodsC/mepslatest/meps_lagged_6_h_latest_2_5km_latest.nc', 'global_landmask'])

  time_coverage_start :

  2025-11-27 14:00:00

  time_step_calculation :

  0:10:00

  time_step_output :

  1:00:00

  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: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:horizontal_diffusivity :

  0

  config_drift:profiles_depth :

  50

  config_drift:wind_uncertainty :

  0

  config_drift:relative_wind :

  False

  config_drift:deactivate_north_of :

  None

  config_drift:deactivate_south_of :

  None

  config_drift:deactivate_east_of :

  None

  config_drift:deactivate_west_of :

  None

  config_seed:origin_marker :

  0

  config_seed:z :

  0

  config_seed:wind_drift_factor :

  0.02

  config_seed:current_drift_factor :

  1

  config_seed:terminal_velocity :

  0.0

  config_drift:vertical_advection :

  True

  config_drift:vertical_advection_at_surface :

  False

  config_drift:water_column_stretching :

  False

  config_drift:vertical_advection_correction :

  False

  config_drift:vertical_mixing :

  False

  config_drift:vertical_mixing_at_surface :

  False

  config_vertical_mixing:timestep :

  60

  config_vertical_mixing:diffusivitymodel :

  environment

  config_vertical_mixing:background_diffusivity :

  1.2e-05

  config_vertical_mixing:TSprofiles :

  False

  config_drift:wind_drift_depth :

  0.1

  config_drift:stokes_drift :

  True

  config_drift:stokes_drift_profile :

  Phillips

  config_drift:use_tabularised_stokes_drift :

  False

  config_drift:tabularised_stokes_drift_fetch :

  25000

  config_general:seafloor_action :

  lift_to_seafloor

  config_drift:truncate_ocean_model_below_m :

  None

  config_seed:seafloor :

  False

  opendrift_version :

  1.14.6

  seed_geojson :

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

  simulation_time :

  2025-11-27 16:16:58.175287

  reader_x_sea_water_velocity :

  0

  reader_y_sea_water_velocity :

  0

  reader_sea_surface_height :

  0

  reader_x_wind :

  ['https://thredds.met.no/thredds/dodsC/mepslatest/meps_lagged_6_h_latest_2_5km_latest.nc']

  reader_y_wind :

  ['https://thredds.met.no/thredds/dodsC/mepslatest/meps_lagged_6_h_latest_2_5km_latest.nc']

  reader_upward_sea_water_velocity :

  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 :

  2025-11-28 17:00:00

  time_coverage_duration :

  P1DT3H0M0S

  time_coverage_resolution :

  P0DT0H10M0S

  performance :

  -------------------- Reader performance: -------------------- https://thredds.met.no/thredds/dodsC/mepslatest/meps_lagged_6_h_latest_2_5km_latest.nc 0:00:40.8 total 0:00:00.0 preparing 0:00:38.6 reading 0:00:17.7 interpolation 0:00:00.0 interpolation_time 0:00:02.0 rotating vectors 0:00:00.0 masking -------------------- global_landmask 0:00:02.9 total 0:00:00.0 preparing 0:00:02.9 reading 0:00:00.0 masking -------------------- Performance: 1:02.8 total time 7.3 configuration 0.0 preparing main loop 0.0 moving elements to ocean 55.4 main loop 1.9 updating elements 0.0 cleaning up --------------------

  geospatial_bounds_crs :

  EPSG:4326

  geospatial_bounds_vertical_crs :

  EPSG:5831

  geospatial_lat_min :

  59.960087

  geospatial_lat_max :

  60.219627

  geospatial_lat_units :

  degrees_north

  geospatial_lat_resolution :

  point

  geospatial_lon_min :

  4.8321867

  geospatial_lon_max :

  5.069102

  geospatial_lon_units :

  degrees_east

  geospatial_lon_resolution :

  point

  runtime :

  0:01:02.839774

  geospatial_vertical_min :

  0.0

  geospatial_vertical_max :

  0.0

  geospatial_vertical_positive :

  up

Ensemble members are recycled among the 10000 particles

ensemble_number = np.remainder(np.arange(o.num_elements_total()), len(r.realizations)) + 1
o.animation(fast=True, color=ensemble_number, legend=['Member ' + str(i) for i in r.realizations], colorbar=False)

16:17:53 WARNING opendrift:2470: Plotting fast. This will make your plots less accurate.
16:17:56 INFO    opendrift:4651: Saving animation to /root/project/docs/source/gallery/animations/example_ensemble_0.gif...
16:18:37 INFO    opendrift:3086: Time to make animation: 0:00:43.355031

We see that elements forced by different wind ensemble members move differently

o.plot_memory_usage()