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)

08:24:12 INFO    opendrift:568: OpenDriftSimulation initialised (version 1.14.9 / v1.14.9-9-gcde0dcf)
08:24:12 INFO    opendrift.readers:64: Opening file with xr.open_dataset
08:24:13 INFO    opendrift.readers.reader_netCDF_CF_generic:340: Detected dimensions: {'time': 'time', 'x': 'x', 'y': 'y'}
08:24:13 INFO    opendrift.models.basemodel.environment:203: Adding a global landmask from GSHHG
08:24:18 INFO    opendrift.models.basemodel.environment:227: Fallback values will be used for the following variables which have no readers:
08:24:18 INFO    opendrift.models.basemodel.environment:230:    x_sea_water_velocity: 0.000000
08:24:18 INFO    opendrift.models.basemodel.environment:230:    y_sea_water_velocity: 0.000000
08:24:18 INFO    opendrift.models.basemodel.environment:230:    sea_surface_height: 0.000000
08:24:18 INFO    opendrift.models.basemodel.environment:230:    upward_sea_water_velocity: 0.000000
08:24:18 INFO    opendrift.models.basemodel.environment:230:    ocean_vertical_diffusivity: 0.000000
08:24:18 INFO    opendrift.models.basemodel.environment:230:    horizontal_diffusivity: 0.000000
08:24:18 INFO    opendrift.models.basemodel.environment:230:    sea_surface_wave_significant_height: 0.000000
08:24:18 INFO    opendrift.models.basemodel.environment:230:    sea_surface_wave_stokes_drift_x_velocity: 0.000000
08:24:18 INFO    opendrift.models.basemodel.environment:230:    sea_surface_wave_stokes_drift_y_velocity: 0.000000
08:24:18 INFO    opendrift.models.basemodel.environment:230:    ocean_mixed_layer_thickness: 50.000000
08:24:18 INFO    opendrift.models.basemodel.environment:230:    sea_floor_depth_below_sea_level: 10000.000000
08:24:18 INFO    opendrift:1828: Skipping environment variable ocean_vertical_diffusivity because of condition ['drift:vertical_mixing', 'is', False]
08:24:18 INFO    opendrift:1828: Skipping environment variable ocean_mixed_layer_thickness because of condition ['drift:vertical_mixing', 'is', False]
08:24:18 INFO    opendrift:1839: Storing previous values of element property lon because of condition (('general:coastline_action', 'in', ['stranding', 'previous']), 'or', ('general:seafloor_action', 'in', ['previous']))
08:24:18 INFO    opendrift:1839: Storing previous values of element property lat because of condition (('general:coastline_action', 'in', ['stranding', 'previous']), 'or', ('general:seafloor_action', 'in', ['previous']))
08:24:18 INFO    opendrift:1847: Storing previous values of environment variable sea_surface_height because of condition ['drift:vertical_advection', 'is', True]
08:24:18 INFO    opendrift:947: Using existing reader for land_binary_mask to move elements to ocean
08:24:18 INFO    opendrift:978: All points are in ocean
08:24:18 INFO    opendrift:2136: 2026-03-25 06:00:00 - step 1 of 300 - 10000 active elements (0 deactivated)
08:24:19 WARNING opendrift.readers.interpolation.structured:63: Ensemble data currently not extrapolated towards seafloor
08:24:19 WARNING opendrift.readers.interpolation.structured:63: Ensemble data currently not extrapolated towards seafloor
08:24:19 INFO    opendrift:2136: 2026-03-25 06:10:00 - step 2 of 300 - 10000 active elements (0 deactivated)
08:24:19 WARNING opendrift.readers.interpolation.structured:63: Ensemble data currently not extrapolated towards seafloor
08:24:19 WARNING opendrift.readers.interpolation.structured:63: Ensemble data currently not extrapolated towards seafloor
08:24:19 INFO    opendrift:2136: 2026-03-25 06:20:00 - step 3 of 300 - 10000 active elements (0 deactivated)
08:24:19 INFO    opendrift:2136: 2026-03-25 06:30:00 - step 4 of 300 - 10000 active elements (0 deactivated)
08:24:20 INFO    opendrift:2136: 2026-03-25 06:40:00 - step 5 of 300 - 10000 active elements (0 deactivated)
08:24:20 INFO    opendrift:2136: 2026-03-25 06:50:00 - step 6 of 300 - 10000 active elements (0 deactivated)
08:24:20 INFO    opendrift:2136: 2026-03-25 07:00:00 - step 7 of 300 - 10000 active elements (0 deactivated)
08:24:20 INFO    opendrift:2136: 2026-03-25 07:10:00 - step 8 of 300 - 10000 active elements (0 deactivated)
08:24:20 WARNING opendrift.readers.interpolation.structured:63: Ensemble data currently not extrapolated towards seafloor
08:24:20 WARNING opendrift.readers.interpolation.structured:63: Ensemble data currently not extrapolated towards seafloor
08:24:21 INFO    opendrift:2136: 2026-03-25 07:20:00 - step 9 of 300 - 10000 active elements (0 deactivated)
08:24:21 INFO    opendrift:2136: 2026-03-25 07:30:00 - step 10 of 300 - 10000 active elements (0 deactivated)
08:24:21 INFO    opendrift:2136: 2026-03-25 07:40:00 - step 11 of 300 - 10000 active elements (0 deactivated)
08:24:21 INFO    opendrift:2136: 2026-03-25 07:50:00 - step 12 of 300 - 10000 active elements (0 deactivated)
08:24:21 INFO    opendrift:2136: 2026-03-25 08:00:00 - step 13 of 300 - 10000 active elements (0 deactivated)
08:24:21 INFO    opendrift:2136: 2026-03-25 08:10:00 - step 14 of 300 - 10000 active elements (0 deactivated)
08:24:22 WARNING opendrift.readers.interpolation.structured:63: Ensemble data currently not extrapolated towards seafloor
08:24:22 WARNING opendrift.readers.interpolation.structured:63: Ensemble data currently not extrapolated towards seafloor
08:24:22 INFO    opendrift:2136: 2026-03-25 08:20:00 - step 15 of 300 - 10000 active elements (0 deactivated)
08:24:22 INFO    opendrift:2136: 2026-03-25 08:30:00 - step 16 of 300 - 10000 active elements (0 deactivated)
08:24:22 INFO    opendrift:2136: 2026-03-25 08:40:00 - step 17 of 300 - 10000 active elements (0 deactivated)
08:24:22 INFO    opendrift:2136: 2026-03-25 08:50:00 - step 18 of 300 - 10000 active elements (0 deactivated)
08:24:22 INFO    opendrift:2136: 2026-03-25 09:00:00 - step 19 of 300 - 10000 active elements (0 deactivated)
08:24:23 INFO    opendrift:2136: 2026-03-25 09:10:00 - step 20 of 300 - 10000 active elements (0 deactivated)
08:24:23 WARNING opendrift.readers.interpolation.structured:63: Ensemble data currently not extrapolated towards seafloor
08:24:23 WARNING opendrift.readers.interpolation.structured:63: Ensemble data currently not extrapolated towards seafloor
08:24:23 INFO    opendrift:2136: 2026-03-25 09:20:00 - step 21 of 300 - 10000 active elements (0 deactivated)
08:24:23 INFO    opendrift:2136: 2026-03-25 09:30:00 - step 22 of 300 - 10000 active elements (0 deactivated)
08:24:23 INFO    opendrift:2136: 2026-03-25 09:40:00 - step 23 of 300 - 10000 active elements (0 deactivated)
08:24:23 INFO    opendrift:2136: 2026-03-25 09:50:00 - step 24 of 300 - 10000 active elements (0 deactivated)
08:24:27 INFO    opendrift:2136: 2026-03-25 10:00:00 - step 25 of 300 - 9999 active elements (1 deactivated)
08:24:27 INFO    opendrift:2136: 2026-03-25 10:10:00 - step 26 of 300 - 9999 active elements (1 deactivated)
08:24:29 WARNING opendrift.readers.interpolation.structured:63: Ensemble data currently not extrapolated towards seafloor
08:24:29 WARNING opendrift.readers.interpolation.structured:63: Ensemble data currently not extrapolated towards seafloor
08:24:29 INFO    opendrift:2136: 2026-03-25 10:20:00 - step 27 of 300 - 9999 active elements (1 deactivated)
08:24:29 INFO    opendrift:2136: 2026-03-25 10:30:00 - step 28 of 300 - 9999 active elements (1 deactivated)
08:24:29 INFO    opendrift:2136: 2026-03-25 10:40:00 - step 29 of 300 - 9999 active elements (1 deactivated)
08:24:29 INFO    opendrift:2136: 2026-03-25 10:50:00 - step 30 of 300 - 9999 active elements (1 deactivated)
08:24:30 INFO    opendrift:2136: 2026-03-25 11:00:00 - step 31 of 300 - 9997 active elements (3 deactivated)
08:24:30 INFO    opendrift:2136: 2026-03-25 11:10:00 - step 32 of 300 - 9996 active elements (4 deactivated)
08:24:31 WARNING opendrift.readers.interpolation.structured:63: Ensemble data currently not extrapolated towards seafloor
08:24:31 WARNING opendrift.readers.interpolation.structured:63: Ensemble data currently not extrapolated towards seafloor
08:24:32 INFO    opendrift:2136: 2026-03-25 11:20:00 - step 33 of 300 - 9994 active elements (6 deactivated)
08:24:32 INFO    opendrift:2136: 2026-03-25 11:30:00 - step 34 of 300 - 9993 active elements (7 deactivated)
08:24:32 INFO    opendrift:2136: 2026-03-25 11:40:00 - step 35 of 300 - 9992 active elements (8 deactivated)
08:24:32 INFO    opendrift:2136: 2026-03-25 11:50:00 - step 36 of 300 - 9991 active elements (9 deactivated)
08:24:32 INFO    opendrift:2136: 2026-03-25 12:00:00 - step 37 of 300 - 9990 active elements (10 deactivated)
08:24:32 INFO    opendrift:2136: 2026-03-25 12:10:00 - step 38 of 300 - 9989 active elements (11 deactivated)
08:24:34 WARNING opendrift.readers.interpolation.structured:63: Ensemble data currently not extrapolated towards seafloor
08:24:34 WARNING opendrift.readers.interpolation.structured:63: Ensemble data currently not extrapolated towards seafloor
08:24:34 INFO    opendrift:2136: 2026-03-25 12:20:00 - step 39 of 300 - 9988 active elements (12 deactivated)
08:24:34 INFO    opendrift:2136: 2026-03-25 12:30:00 - step 40 of 300 - 9988 active elements (12 deactivated)
08:24:34 INFO    opendrift:2136: 2026-03-25 12:40:00 - step 41 of 300 - 9985 active elements (15 deactivated)
08:24:34 INFO    opendrift:2136: 2026-03-25 12:50:00 - step 42 of 300 - 9982 active elements (18 deactivated)
08:24:34 INFO    opendrift:2136: 2026-03-25 13:00:00 - step 43 of 300 - 9981 active elements (19 deactivated)
08:24:34 INFO    opendrift:2136: 2026-03-25 13:10:00 - step 44 of 300 - 9981 active elements (19 deactivated)
08:24:36 WARNING opendrift.readers.interpolation.structured:63: Ensemble data currently not extrapolated towards seafloor
08:24:36 WARNING opendrift.readers.interpolation.structured:63: Ensemble data currently not extrapolated towards seafloor
08:24:36 INFO    opendrift:2136: 2026-03-25 13:20:00 - step 45 of 300 - 9981 active elements (19 deactivated)
08:24:36 INFO    opendrift:2136: 2026-03-25 13:30:00 - step 46 of 300 - 9980 active elements (20 deactivated)
08:24:37 INFO    opendrift:2136: 2026-03-25 13:40:00 - step 47 of 300 - 9980 active elements (20 deactivated)
08:24:37 INFO    opendrift:2136: 2026-03-25 13:50:00 - step 48 of 300 - 9978 active elements (22 deactivated)
08:24:37 INFO    opendrift:2136: 2026-03-25 14:00:00 - step 49 of 300 - 9977 active elements (23 deactivated)
08:24:37 INFO    opendrift:2136: 2026-03-25 14:10:00 - step 50 of 300 - 9975 active elements (25 deactivated)
08:24:39 WARNING opendrift.readers.interpolation.structured:63: Ensemble data currently not extrapolated towards seafloor
08:24:39 WARNING opendrift.readers.interpolation.structured:63: Ensemble data currently not extrapolated towards seafloor
08:24:39 INFO    opendrift:2136: 2026-03-25 14:20:00 - step 51 of 300 - 9975 active elements (25 deactivated)
08:24:39 INFO    opendrift:2136: 2026-03-25 14:30:00 - step 52 of 300 - 9969 active elements (31 deactivated)
08:24:39 INFO    opendrift:2136: 2026-03-25 14:40:00 - step 53 of 300 - 9965 active elements (35 deactivated)
08:24:39 INFO    opendrift:2136: 2026-03-25 14:50:00 - step 54 of 300 - 9961 active elements (39 deactivated)
08:24:39 INFO    opendrift:2136: 2026-03-25 15:00:00 - step 55 of 300 - 9956 active elements (44 deactivated)
08:24:39 INFO    opendrift:2136: 2026-03-25 15:10:00 - step 56 of 300 - 9950 active elements (50 deactivated)
08:24:41 WARNING opendrift.readers.interpolation.structured:63: Ensemble data currently not extrapolated towards seafloor
08:24:41 WARNING opendrift.readers.interpolation.structured:63: Ensemble data currently not extrapolated towards seafloor
08:24:41 INFO    opendrift:2136: 2026-03-25 15:20:00 - step 57 of 300 - 9939 active elements (61 deactivated)
08:24:41 INFO    opendrift:2136: 2026-03-25 15:30:00 - step 58 of 300 - 9935 active elements (65 deactivated)
08:24:41 INFO    opendrift:2136: 2026-03-25 15:40:00 - step 59 of 300 - 9926 active elements (74 deactivated)
08:24:41 INFO    opendrift:2136: 2026-03-25 15:50:00 - step 60 of 300 - 9918 active elements (82 deactivated)
08:24:41 INFO    opendrift:2136: 2026-03-25 16:00:00 - step 61 of 300 - 9898 active elements (102 deactivated)
08:24:42 INFO    opendrift:2136: 2026-03-25 16:10:00 - step 62 of 300 - 9879 active elements (121 deactivated)
08:24:43 WARNING opendrift.readers.interpolation.structured:63: Ensemble data currently not extrapolated towards seafloor
08:24:43 WARNING opendrift.readers.interpolation.structured:63: Ensemble data currently not extrapolated towards seafloor
08:24:43 INFO    opendrift:2136: 2026-03-25 16:20:00 - step 63 of 300 - 9868 active elements (132 deactivated)
08:24:44 INFO    opendrift:2136: 2026-03-25 16:30:00 - step 64 of 300 - 9853 active elements (147 deactivated)
08:24:44 INFO    opendrift:2136: 2026-03-25 16:40:00 - step 65 of 300 - 9833 active elements (167 deactivated)
08:24:44 INFO    opendrift:2136: 2026-03-25 16:50:00 - step 66 of 300 - 9813 active elements (187 deactivated)
08:24:44 INFO    opendrift:2136: 2026-03-25 17:00:00 - step 67 of 300 - 9794 active elements (206 deactivated)
08:24:44 INFO    opendrift:2136: 2026-03-25 17:10:00 - step 68 of 300 - 9771 active elements (229 deactivated)
08:24:46 WARNING opendrift.readers.interpolation.structured:63: Ensemble data currently not extrapolated towards seafloor
08:24:46 WARNING opendrift.readers.interpolation.structured:63: Ensemble data currently not extrapolated towards seafloor
08:24:46 INFO    opendrift:2136: 2026-03-25 17:20:00 - step 69 of 300 - 9754 active elements (246 deactivated)
08:24:46 INFO    opendrift:2136: 2026-03-25 17:30:00 - step 70 of 300 - 9735 active elements (265 deactivated)
08:24:46 INFO    opendrift:2136: 2026-03-25 17:40:00 - step 71 of 300 - 9723 active elements (277 deactivated)
08:24:46 INFO    opendrift:2136: 2026-03-25 17:50:00 - step 72 of 300 - 9711 active elements (289 deactivated)
08:24:46 INFO    opendrift:2136: 2026-03-25 18:00:00 - step 73 of 300 - 9706 active elements (294 deactivated)
08:24:47 INFO    opendrift:2136: 2026-03-25 18:10:00 - step 74 of 300 - 9700 active elements (300 deactivated)
08:24:49 WARNING opendrift.readers.interpolation.structured:63: Ensemble data currently not extrapolated towards seafloor
08:24:49 WARNING opendrift.readers.interpolation.structured:63: Ensemble data currently not extrapolated towards seafloor
08:24:49 INFO    opendrift:2136: 2026-03-25 18:20:00 - step 75 of 300 - 9693 active elements (307 deactivated)
08:24:49 INFO    opendrift:2136: 2026-03-25 18:30:00 - step 76 of 300 - 9681 active elements (319 deactivated)
08:24:49 INFO    opendrift:2136: 2026-03-25 18:40:00 - step 77 of 300 - 9660 active elements (340 deactivated)
08:24:49 INFO    opendrift:2136: 2026-03-25 18:50:00 - step 78 of 300 - 9641 active elements (359 deactivated)
08:24:49 INFO    opendrift:2136: 2026-03-25 19:00:00 - step 79 of 300 - 9605 active elements (395 deactivated)
08:24:49 INFO    opendrift:2136: 2026-03-25 19:10:00 - step 80 of 300 - 9564 active elements (436 deactivated)
08:24:51 WARNING opendrift.readers.interpolation.structured:63: Ensemble data currently not extrapolated towards seafloor
08:24:51 WARNING opendrift.readers.interpolation.structured:63: Ensemble data currently not extrapolated towards seafloor
08:24:51 INFO    opendrift:2136: 2026-03-25 19:20:00 - step 81 of 300 - 9509 active elements (491 deactivated)
08:24:51 INFO    opendrift:2136: 2026-03-25 19:30:00 - step 82 of 300 - 9449 active elements (551 deactivated)
08:24:52 INFO    opendrift:2136: 2026-03-25 19:40:00 - step 83 of 300 - 9354 active elements (646 deactivated)
08:24:52 INFO    opendrift:2136: 2026-03-25 19:50:00 - step 84 of 300 - 9253 active elements (747 deactivated)
08:24:52 INFO    opendrift:2136: 2026-03-25 20:00:00 - step 85 of 300 - 9094 active elements (906 deactivated)
08:24:52 INFO    opendrift:2136: 2026-03-25 20:10:00 - step 86 of 300 - 8920 active elements (1080 deactivated)
08:24:54 WARNING opendrift.readers.interpolation.structured:63: Ensemble data currently not extrapolated towards seafloor
08:24:54 WARNING opendrift.readers.interpolation.structured:63: Ensemble data currently not extrapolated towards seafloor
08:24:54 INFO    opendrift:2136: 2026-03-25 20:20:00 - step 87 of 300 - 8672 active elements (1328 deactivated)
08:24:54 INFO    opendrift:2136: 2026-03-25 20:30:00 - step 88 of 300 - 8394 active elements (1606 deactivated)
08:24:54 INFO    opendrift:2136: 2026-03-25 20:40:00 - step 89 of 300 - 8043 active elements (1957 deactivated)
08:24:54 INFO    opendrift:2136: 2026-03-25 20:50:00 - step 90 of 300 - 7696 active elements (2304 deactivated)
08:24:54 INFO    opendrift:2136: 2026-03-25 21:00:00 - step 91 of 300 - 7299 active elements (2701 deactivated)
08:24:55 INFO    opendrift:2136: 2026-03-25 21:10:00 - step 92 of 300 - 6877 active elements (3123 deactivated)
08:24:56 WARNING opendrift.readers.interpolation.structured:63: Ensemble data currently not extrapolated towards seafloor
08:24:56 WARNING opendrift.readers.interpolation.structured:63: Ensemble data currently not extrapolated towards seafloor
08:24:56 INFO    opendrift:2136: 2026-03-25 21:20:00 - step 93 of 300 - 6393 active elements (3607 deactivated)
08:24:56 INFO    opendrift:2136: 2026-03-25 21:30:00 - step 94 of 300 - 5899 active elements (4101 deactivated)
08:24:56 INFO    opendrift:2136: 2026-03-25 21:40:00 - step 95 of 300 - 5360 active elements (4640 deactivated)
08:24:56 INFO    opendrift:2136: 2026-03-25 21:50:00 - step 96 of 300 - 4842 active elements (5158 deactivated)
08:24:56 INFO    opendrift:2136: 2026-03-25 22:00:00 - step 97 of 300 - 4315 active elements (5685 deactivated)
08:24:56 INFO    opendrift:2136: 2026-03-25 22:10:00 - step 98 of 300 - 3825 active elements (6175 deactivated)
08:24:58 WARNING opendrift.readers.interpolation.structured:63: Ensemble data currently not extrapolated towards seafloor
08:24:58 WARNING opendrift.readers.interpolation.structured:63: Ensemble data currently not extrapolated towards seafloor
08:24:58 INFO    opendrift:2136: 2026-03-25 22:20:00 - step 99 of 300 - 3349 active elements (6651 deactivated)
08:24:58 INFO    opendrift:2136: 2026-03-25 22:30:00 - step 100 of 300 - 2901 active elements (7099 deactivated)
08:24:58 INFO    opendrift:2136: 2026-03-25 22:40:00 - step 101 of 300 - 2458 active elements (7542 deactivated)
08:24:58 INFO    opendrift:2136: 2026-03-25 22:50:00 - step 102 of 300 - 2107 active elements (7893 deactivated)
08:24:58 INFO    opendrift:2136: 2026-03-25 23:00:00 - step 103 of 300 - 1758 active elements (8242 deactivated)
08:24:58 INFO    opendrift:2136: 2026-03-25 23:10:00 - step 104 of 300 - 1424 active elements (8576 deactivated)
08:24:59 WARNING opendrift.readers.interpolation.structured:63: Ensemble data currently not extrapolated towards seafloor
08:24:59 WARNING opendrift.readers.interpolation.structured:63: Ensemble data currently not extrapolated towards seafloor
08:24:59 INFO    opendrift:2136: 2026-03-25 23:20:00 - step 105 of 300 - 1177 active elements (8823 deactivated)
08:24:59 INFO    opendrift:2136: 2026-03-25 23:30:00 - step 106 of 300 - 955 active elements (9045 deactivated)
08:24:59 INFO    opendrift:2136: 2026-03-25 23:40:00 - step 107 of 300 - 790 active elements (9210 deactivated)
08:24:59 INFO    opendrift:2136: 2026-03-25 23:50:00 - step 108 of 300 - 642 active elements (9358 deactivated)
08:24:59 INFO    opendrift:2136: 2026-03-26 00:00:00 - step 109 of 300 - 538 active elements (9462 deactivated)
08:24:59 INFO    opendrift:2136: 2026-03-26 00:10:00 - step 110 of 300 - 435 active elements (9565 deactivated)
08:25:00 WARNING opendrift.readers.interpolation.structured:63: Ensemble data currently not extrapolated towards seafloor
08:25:00 WARNING opendrift.readers.interpolation.structured:63: Ensemble data currently not extrapolated towards seafloor
08:25:00 INFO    opendrift:2136: 2026-03-26 00:20:00 - step 111 of 300 - 347 active elements (9653 deactivated)
08:25:00 INFO    opendrift:2136: 2026-03-26 00:30:00 - step 112 of 300 - 275 active elements (9725 deactivated)
08:25:00 INFO    opendrift:2136: 2026-03-26 00:40:00 - step 113 of 300 - 224 active elements (9776 deactivated)
08:25:00 INFO    opendrift:2136: 2026-03-26 00:50:00 - step 114 of 300 - 187 active elements (9813 deactivated)
08:25:00 INFO    opendrift:2136: 2026-03-26 01:00:00 - step 115 of 300 - 150 active elements (9850 deactivated)
08:25:00 INFO    opendrift:2136: 2026-03-26 01:10:00 - step 116 of 300 - 114 active elements (9886 deactivated)
08:25:00 WARNING opendrift.readers.interpolation.structured:63: Ensemble data currently not extrapolated towards seafloor
08:25:00 WARNING opendrift.readers.interpolation.structured:63: Ensemble data currently not extrapolated towards seafloor
08:25:00 INFO    opendrift:2136: 2026-03-26 01:20:00 - step 117 of 300 - 88 active elements (9912 deactivated)
08:25:00 INFO    opendrift:2136: 2026-03-26 01:30:00 - step 118 of 300 - 70 active elements (9930 deactivated)
08:25:00 INFO    opendrift:2136: 2026-03-26 01:40:00 - step 119 of 300 - 62 active elements (9938 deactivated)
08:25:00 INFO    opendrift:2136: 2026-03-26 01:50:00 - step 120 of 300 - 38 active elements (9962 deactivated)
08:25:00 INFO    opendrift:2136: 2026-03-26 02:00:00 - step 121 of 300 - 33 active elements (9967 deactivated)
08:25:00 INFO    opendrift:2136: 2026-03-26 02:10:00 - step 122 of 300 - 24 active elements (9976 deactivated)
08:25:01 WARNING opendrift.readers.interpolation.structured:63: Ensemble data currently not extrapolated towards seafloor
08:25:01 WARNING opendrift.readers.interpolation.structured:63: Ensemble data currently not extrapolated towards seafloor
08:25:01 INFO    opendrift:2136: 2026-03-26 02:20:00 - step 123 of 300 - 19 active elements (9981 deactivated)
08:25:01 INFO    opendrift:2136: 2026-03-26 02:30:00 - step 124 of 300 - 11 active elements (9989 deactivated)
08:25:01 INFO    opendrift:2136: 2026-03-26 02:40:00 - step 125 of 300 - 6 active elements (9994 deactivated)
08:25:01 INFO    opendrift:2136: 2026-03-26 02:50:00 - step 126 of 300 - 4 active elements (9996 deactivated)
08:25:01 INFO    opendrift:2136: 2026-03-26 03:00:00 - step 127 of 300 - 3 active elements (9997 deactivated)
08:25:01 INFO    opendrift:2136: 2026-03-26 03:10:00 - step 128 of 300 - 2 active elements (9998 deactivated)
08:25:02 WARNING opendrift.readers.interpolation.structured:63: Ensemble data currently not extrapolated towards seafloor
08:25:02 WARNING opendrift.readers.interpolation.structured:63: Ensemble data currently not extrapolated towards seafloor
08:25:02 INFO    opendrift:2136: 2026-03-26 03:20:00 - step 129 of 300 - 1 active elements (9999 deactivated)
08:25:02 WARNING opendrift:2212: The simulation stopped before requested end time was reached.
08:25:02 INFO    opendrift:2214: ========================
08:25:02 INFO    opendrift:2215: End of simulation:
08:25:02 INFO    opendrift:2216: No more active or scheduled elements, quitting.
08:25:02 INFO    opendrift:2217: Traceback (most recent call last):
  File "/root/project/opendrift/models/basemodel/__init__.py", line 2199, in run
    raise ValueError('No more active or scheduled elements, quitting.')
ValueError: No more active or scheduled elements, quitting.

08:25:02 INFO    opendrift:2218: 'The simulation stopped before requested end time was reached.'

08:25:02 INFO    opendrift:2221: ========================

<xarray.Dataset> Size: 19MB
Dimensions:                                   (trajectory: 10000, time: 22)
Coordinates:
  * trajectory                                (trajectory) int64 80kB 0 ... 9999
  * time                                      (time) datetime64[ns] 176B 2026...
Data variables: (12/22)
    status                                    (trajectory, time) float32 880kB ...
    moving                                    (trajectory, time) float32 880kB ...
    age_seconds                               (trajectory, time) float32 880kB ...
    origin_marker                             (trajectory, time) float32 880kB ...
    lon                                       (trajectory, time) float32 880kB ...
    lat                                       (trajectory, time) float32 880kB ...
    ...                                        ...
    horizontal_diffusivity                    (trajectory, time) float32 880kB ...
    sea_surface_wave_significant_height       (trajectory, time) float32 880kB ...
    sea_surface_wave_stokes_drift_x_velocity  (trajectory, time) float32 880kB ...
    sea_surface_wave_stokes_drift_y_velocity  (trajectory, time) float32 880kB ...
    sea_floor_depth_below_sea_level           (trajectory, time) float32 880kB ...
    land_binary_mask                          (trajectory, time) float32 880kB ...
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: 10000
  • time: 22
• 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]
    2026-03-25T06:00:00 ... 2026-03-...

    standard_name :

    time

    long_name :

    time

    dtype :

    <class 'numpy.float64'>

    array(['2026-03-25T06:00:00.000000000', '2026-03-25T07:00:00.000000000',
           '2026-03-25T08:00:00.000000000', '2026-03-25T09:00:00.000000000',
           '2026-03-25T10:00:00.000000000', '2026-03-25T11:00:00.000000000',
           '2026-03-25T12:00:00.000000000', '2026-03-25T13:00:00.000000000',
           '2026-03-25T14:00:00.000000000', '2026-03-25T15:00:00.000000000',
           '2026-03-25T16:00:00.000000000', '2026-03-25T17:00:00.000000000',
           '2026-03-25T18:00:00.000000000', '2026-03-25T19:00:00.000000000',
           '2026-03-25T20:00:00.000000000', '2026-03-25T21:00:00.000000000',
           '2026-03-25T22:00:00.000000000', '2026-03-25T23:00:00.000000000',
           '2026-03-26T00:00:00.000000000', '2026-03-26T01:00:00.000000000',
           '2026-03-26T02:00:00.000000000', '2026-03-26T03:00:00.000000000'],
          dtype='datetime64[ns]')

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

    dtype :

    <class 'numpy.int32'>

    valid_range :

    [0 1]

    flag_values :

    [0 1]

    flag_meanings :

    active stranded

    array([[ 0.,  0.,  0., ..., 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, 22), 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, 22), 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 :

    76800.0

    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, 22), 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, 22), dtype=float32)

  • lon
    (trajectory, time)
    float32
    4.932 4.941 4.95 ... nan nan nan

    dtype :

    <class 'numpy.float32'>

    units :

    degrees_east

    standard_name :

    longitude

    long_name :

    longitude

    axis :

    X

    minval :

    4.832955

    maxval :

    5.1509113

    array([[4.931612 , 4.9406238, 4.94956  , ...,       nan,       nan,
                  nan],
           [4.90717  , 4.9186554, 4.928988 , ...,       nan,       nan,
                  nan],
           [4.917548 , 4.925692 , 4.9359508, ...,       nan,       nan,
                  nan],
           ...,
           [4.9092627, 4.9202843, 4.930801 , ...,       nan,       nan,
                  nan],
           [4.8994102, 4.9098454, 4.920692 , ...,       nan,       nan,
                  nan],
           [4.9232616, 4.9344354, 4.945314 , ...,       nan,       nan,
                  nan]], shape=(10000, 22), dtype=float32)

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

    dtype :

    <class 'numpy.float32'>

    units :

    degrees_north

    standard_name :

    latitude

    long_name :

    latitude

    axis :

    Y

    minval :

    59.85964

    maxval :

    60.039906

    array([[59.99818 , 59.99789 , 59.997982, ...,       nan,       nan,
                  nan],
           [59.99252 , 59.992302, 59.992752, ...,       nan,       nan,
                  nan],
           [60.01556 , 60.01568 , 60.015602, ...,       nan,       nan,
                  nan],
           ...,
           [59.999485, 59.998478, 59.998653, ...,       nan,       nan,
                  nan],
           [59.990494, 59.988926, 59.98682 , ...,       nan,       nan,
                  nan],
           [59.997066, 59.99572 , 59.994568, ...,       nan,       nan,
                  nan]], shape=(10000, 22), 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, 22), 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, 22), 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, 22), 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, 22), 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, 22), 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, 22), 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, 22), dtype=float32)

  • x_wind
    (trajectory, time)
    float32
    7.146 6.728 7.235 ... nan nan nan

    minval :

    -3.312922

    maxval :

    16.808264

    array([[7.1460977, 6.7283874, 7.235323 , ...,       nan,       nan,
                  nan],
           [9.357407 , 8.308497 , 7.622002 , ...,       nan,       nan,
                  nan],
           [6.0189786, 6.698013 , 9.757975 , ...,       nan,       nan,
                  nan],
           ...,
           [9.345108 , 7.4251604, 9.181449 , ...,       nan,       nan,
                  nan],
           [7.368883 , 9.086756 , 7.5306263, ...,       nan,       nan,
                  nan],
           [8.655035 , 8.640802 , 8.168453 , ...,       nan,       nan,
                  nan]], shape=(10000, 22), dtype=float32)

  • y_wind
    (trajectory, time)
    float32
    -1.027 0.3424 -0.08946 ... nan nan

    minval :

    -16.926683

    maxval :

    5.2797856

    array([[-1.026724  ,  0.34235582, -0.08946025, ...,         nan,
                    nan,         nan],
           [-0.743512  ,  0.21009539,  1.3890754 , ...,         nan,
                    nan,         nan],
           [-0.56434155,  1.2380284 , -2.0494876 , ...,         nan,
                    nan,         nan],
           ...,
           [-2.7222707 ,  0.07915045,  0.5656292 , ...,         nan,
                    nan,         nan],
           [-2.2991638 , -2.5614495 , -4.2693353 , ...,         nan,
                    nan,         nan],
           [-1.8429382 , -2.336355  , -1.1193496 , ...,         nan,
                    nan,         nan]], shape=(10000, 22), 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, 22), dtype=float32)

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

    minval :

    0.0

    maxval :

    0.0

    array([[ 0.,  0.,  0., ..., 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, 22), dtype=float32)

  • sea_surface_wave_significant_height
    (trajectory, time)
    float32
    1.282 1.117 1.288 ... nan nan nan

    minval :

    0.0763318

    maxval :

    10.562472

    array([[1.2821734 , 1.1165546 , 1.2880044 , ...,        nan,        nan,
                   nan],
           [2.1676013 , 1.6992517 , 1.4766014 , ...,        nan,        nan,
                   nan],
           [0.89904594, 1.1413438 , 2.4456944 , ...,        nan,        nan,
                   nan],
           ...,
           [2.3306484 , 1.3564261 , 2.081626  , ...,        nan,        nan,
                   nan],
           [1.4658302 , 2.192602  , 1.8434635 , ...,        nan,        nan,
                   nan],
           [1.9263289 , 1.9710017 , 1.6722233 , ...,        nan,        nan,
                   nan]], shape=(10000, 22), 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, 22), 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, 22), 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, 22), 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, 22), 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(['2026-03-25 06:00:00', '2026-03-25 07:00:00',
                   '2026-03-25 08:00:00', '2026-03-25 09:00:00',
                   '2026-03-25 10:00:00', '2026-03-25 11:00:00',
                   '2026-03-25 12:00:00', '2026-03-25 13:00:00',
                   '2026-03-25 14:00:00', '2026-03-25 15:00:00',
                   '2026-03-25 16:00:00', '2026-03-25 17:00:00',
                   '2026-03-25 18:00:00', '2026-03-25 19:00:00',
                   '2026-03-25 20:00:00', '2026-03-25 21:00:00',
                   '2026-03-25 22:00:00', '2026-03-25 23:00:00',
                   '2026-03-26 00:00:00', '2026-03-26 01:00:00',
                   '2026-03-26 02:00:00', '2026-03-26 03:00:00'],
                  dtype='datetime64[ns]', name='time', freq='h'))

• 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 2026-03-25 08:24:18.595843

  date_created :

  2026-03-25T08:24:18.595867

  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 :

  2026-03-25 06:00:00

  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: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 :

  1.14.9

  seed_geojson :

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

  simulation_time :

  2026-03-25 08:24:18.679861

  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_horizontal_diffusivity :

  0

  reader_sea_surface_wave_significant_height :

  0

  reader_sea_surface_wave_stokes_drift_x_velocity :

  0

  reader_sea_surface_wave_stokes_drift_y_velocity :

  0

  reader_sea_floor_depth_below_sea_level :

  10000

  reader_land_binary_mask :

  ['global_landmask']

  time_coverage_end :

  2026-03-26 03:20:00

  time_coverage_duration :

  P0DT21H20M0S

  time_coverage_resolution :

  P0DT0H10M0S

  performance :

  -------------------- Reader performance: -------------------- https://thredds.met.no/thredds/dodsC/mepslatest/meps_lagged_6_h_latest_2_5km_latest.nc 0:00:34.1 total 0:00:00.0 preparing 0:00:32.9 reading 0:00:07.5 interpolation 0:00:00.0 interpolation_time 0:00:01.1 rotating vectors 0:00:00.0 masking -------------------- global_landmask 0:00:02.1 total 0:00:00.0 preparing 0:00:02.1 reading 0:00:00.0 masking -------------------- Performance: 49.7 total time 6.0 configuration 0.1 preparing main loop 0.0 moving elements to ocean 43.5 main loop 1.0 updating elements 0.0 cleaning up --------------------

  geospatial_bounds_crs :

  EPSG:4326

  geospatial_bounds_vertical_crs :

  EPSG:5831

  geospatial_lat_min :

  59.85964

  geospatial_lat_max :

  60.039906

  geospatial_lat_units :

  degrees_north

  geospatial_lat_resolution :

  point

  geospatial_lon_min :

  4.832955

  geospatial_lon_max :

  5.1509113

  geospatial_lon_units :

  degrees_east

  geospatial_lon_resolution :

  point

  runtime :

  0:00:49.775153

  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)

08:25:02 WARNING opendrift:2499: Plotting fast. This will make your plots less accurate.
08:25:03 INFO    opendrift:4697: Saving animation to /root/project/docs/source/gallery/animations/example_ensemble_0.gif...
08:25:21 INFO    opendrift:3120: Time to make animation: 0:00:18.623824

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

o.plot_memory_usage()