{ "cells": [ { "cell_type": "markdown", "metadata": {}, "source": [ "\n# Advection schemes\nIllustrating the difference between Euler and Runge-Kutta propagation\nschemes, using an idealised (analytical) eddy current field.\n" ] }, { "cell_type": "code", "execution_count": null, "metadata": { "collapsed": false }, "outputs": [], "source": [ "from datetime import datetime, timedelta\nfrom opendrift.readers import reader_ArtificialOceanEddy\nfrom opendrift.models.oceandrift import OceanDrift\n\nfake_eddy = reader_ArtificialOceanEddy.Reader(2, 62)\n\nruns = []\nleg = []\nfor scheme in ['euler', 'runge-kutta', 'runge-kutta4']:\n for time_step in [1800, 3600*3]:\n leg.append(scheme + ', T=%.1fh' % (time_step/3600.))\n print(leg[-1])\n o = OceanDrift(loglevel=50)\n o.set_config('environment:fallback:land_binary_mask', 0)\n o.set_config('drift:advection_scheme', scheme)\n o.set_config('drift:vertical_mixing', False)\n o.add_reader(fake_eddy)\n o.seed_elements(lon=2.0, lat=63.0, time=datetime.utcnow())\n o.run(duration=timedelta(days=9), time_step=time_step)\n runs.append(o)\n\nruns[0].plot(compare=runs[1:], legend=leg, fast=True, buffer=.3)" ] } ], "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 }