{ "cells": [ { "cell_type": "markdown", "metadata": {}, "source": [ "\n# Ensemble\n" ] }, { "cell_type": "code", "execution_count": null, "metadata": { "collapsed": false }, "outputs": [], "source": [ "from datetime import timedelta\nimport numpy as np\nfrom opendrift.models.oceandrift import OceanDrift\nfrom opendrift.readers import reader_netCDF_CF_generic" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "Drift simulation using 30 member ensemble wind data\nfrom MEPS model of MET Norway\n\n" ] }, { "cell_type": "code", "execution_count": null, "metadata": { "collapsed": false }, "outputs": [], "source": [ "o = OceanDrift(loglevel=20)\no.set_config('drift:vertical_mixing', False)\nr = reader_netCDF_CF_generic.Reader('https://thredds.met.no/thredds/dodsC/mepslatest/meps_lagged_6_h_latest_2_5km_latest.nc')\no.add_reader(r)\n\no.seed_elements(lat=60, lon=4.9, time=r.start_time,\n radius=1000, number=10000)\n\no.run(duration=timedelta(hours=50), time_step=600, time_step_output=3600)" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "Ensemble members are recycled among the 10000 particles\n\n" ] }, { "cell_type": "code", "execution_count": null, "metadata": { "collapsed": false }, "outputs": [], "source": [ "ensemble_number = np.remainder(np.arange(o.num_elements_total()), len(r.realizations)) + 1\no.animation(fast=True, color=ensemble_number, legend=['Member ' + str(i) for i in r.realizations], colorbar=False)" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "We see that elements forced by different wind ensemble members move differently\n\n" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "\n\n" ] }, { "cell_type": "code", "execution_count": null, "metadata": { "collapsed": false }, "outputs": [], "source": [ "o.plot_memory_usage()" ] } ], "metadata": { "kernelspec": { "display_name": "Python 3", "language": "python", "name": "python3" }, "language_info": { "codemirror_mode": { "name": "ipython", "version": 3 }, "file_extension": ".py", "mimetype": "text/x-python", "name": "python", "nbconvert_exporter": "python", "pygments_lexer": "ipython3", "version": "3.11.6" } }, "nbformat": 4, "nbformat_minor": 0 }