{ "cells": [ { "cell_type": "markdown", "metadata": {}, "source": [ "# Field sampling tutorial" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "The particle trajectories allow us to study fields like temperature, plastic concentration or chlorophyll from a Lagrangian perspective. \n", "\n", "In this tutorial we will go through how particles can sample `Fields`, using temperature as an example. Along the way we will get to know the parcels class `Variable` (see [here](https://oceanparcels.org/gh-pages/html/#parcels.particle.Variable) for the documentation) and some of its methods. This tutorial covers several applications of a sampling setup:\n", "* [**Basic along trajectory sampling**](#Basic-sampling)\n", "* [**Sampling initial conditions**](#Sampling-initial-values)\n", "* [**Sampling initial and along-trajectory values with repeated release**](#Sampling-with-repeatdt)" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "### Basic sampling\n", "We import the `Variable` class as well as the standard modules needed to set up a simulation." ] }, { "cell_type": "code", "execution_count": 1, "metadata": {}, "outputs": [], "source": [ "# Modules needed for the Parcels simulation\n", "from parcels import Variable, FieldSet, ParticleSet, JITParticle, AdvectionRK4\n", "import numpy as np\n", "from datetime import timedelta as delta\n", "\n", "# To open and look at the temperature data\n", "import xarray as xr \n", "import matplotlib as mpl\n", "import matplotlib.pyplot as plt" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "Suppose we want to study the environmental temperature for plankton drifting around a peninsula. We have a dataset with surface ocean velocities and the corresponding sea surface temperature stored in netcdf files in the folder `\"Peninsula_data\"`. Besides the velocity fields, we load the temperature field using `extra_fields={'T': 'T'}`. The particles are released on the left hand side of the domain." ] }, { "cell_type": "code", "execution_count": 2, "metadata": {}, "outputs": [ { "data": { "image/png": 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\n", 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" ] }, "metadata": { "needs_background": "light" }, "output_type": "display_data" } ], "source": [ "# Velocity and temperature fields\n", "fieldset = FieldSet.from_parcels(\"Peninsula_data/peninsula\", extra_fields={'T': 'T'}, allow_time_extrapolation=True)\n", "\n", "# Particle locations and initial time\n", "npart = 10 # number of particles to be released\n", "lon = 3e3 * np.ones(npart)\n", "lat = np.linspace(3e3 , 45e3, npart, dtype=np.float32)\n", "time = np.arange(0, npart) * delta(hours=2).total_seconds() # release each particle two hours later\n", "\n", "# Plot temperature field and initial particle locations\n", "T_data = xr.open_dataset(\"Peninsula_data/peninsulaT.nc\")\n", "plt.figure()\n", "ax = plt.axes()\n", "T_contour = ax.contourf(T_data.x.values, T_data.y.values, T_data.T.values[0,0], cmap=plt.cm.inferno)\n", "ax.scatter(lon, lat, c='w')\n", "plt.colorbar(T_contour, label='T [$^{\\circ} C$]')\n", "plt.show()" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "To sample the temperature field, we need to create a new class of particles where temperature is a `Variable`. As an argument for the `Variable` class, we need to provide the initial values for the particles. The easiest option is to access `fieldset.T`, but this option has some drawbacks." ] }, { "cell_type": "code", "execution_count": 3, "metadata": {}, "outputs": [ { "name": "stderr", "output_type": "stream", "text": [ "WARNING: Particle initialisation from field can be very slow as it is computed in scipy mode.\n" ] } ], "source": [ "class SampleParticle(JITParticle): # Define a new particle class\n", " temperature = Variable('temperature', initial=fieldset.T) # Variable 'temperature' initialised by sampling the temperature\n", "\n", "pset = ParticleSet(fieldset=fieldset, pclass=SampleParticle, lon=lon, lat=lat, time=time)" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "Using `fieldset.T` leads to the `WARNING` displayed above because `Variable` accesses the fieldset in the slower SciPy mode. Another problem can occur when using the repeatdt argument instead of time:" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "" ] }, { "cell_type": "code", "execution_count": 4, "metadata": { "tags": [ "raises-exception" ] }, "outputs": [ { "ename": "RuntimeError", "evalue": "Cannot initialise a Variable with a Field if no time provided. Add a \"time=\" to ParticleSet construction", "output_type": "error", "traceback": [ "\u001b[1;31m---------------------------------------------------------------------------\u001b[0m", "\u001b[1;31mRuntimeError\u001b[0m Traceback (most recent call last)", "\u001b[1;32m\u001b[0m in \u001b[0;36m\u001b[1;34m()\u001b[0m\n\u001b[0;32m 1\u001b[0m \u001b[0mrepeatdt\u001b[0m \u001b[1;33m=\u001b[0m \u001b[0mdelta\u001b[0m\u001b[1;33m(\u001b[0m\u001b[0mhours\u001b[0m\u001b[1;33m=\u001b[0m\u001b[1;36m3\u001b[0m\u001b[1;33m)\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[0;32m 2\u001b[0m \u001b[1;33m\u001b[0m\u001b[0m\n\u001b[1;32m----> 3\u001b[1;33m \u001b[0mpset\u001b[0m \u001b[1;33m=\u001b[0m \u001b[0mParticleSet\u001b[0m\u001b[1;33m(\u001b[0m\u001b[0mfieldset\u001b[0m\u001b[1;33m=\u001b[0m\u001b[0mfieldset\u001b[0m\u001b[1;33m,\u001b[0m \u001b[0mpclass\u001b[0m\u001b[1;33m=\u001b[0m\u001b[0mSampleParticle\u001b[0m\u001b[1;33m,\u001b[0m \u001b[0mlon\u001b[0m\u001b[1;33m=\u001b[0m\u001b[0mlon\u001b[0m\u001b[1;33m,\u001b[0m \u001b[0mlat\u001b[0m\u001b[1;33m=\u001b[0m\u001b[0mlat\u001b[0m\u001b[1;33m,\u001b[0m \u001b[0mrepeatdt\u001b[0m\u001b[1;33m=\u001b[0m\u001b[0mrepeatdt\u001b[0m\u001b[1;33m)\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[0m", "\u001b[1;32mc:\\users\\gebruiker\\documents\\github\\parcels\\parcels\\particleset.py\u001b[0m in \u001b[0;36m__init__\u001b[1;34m(self, fieldset, pclass, lon, lat, depth, time, repeatdt, lonlatdepth_dtype, pid_orig, **kwargs)\u001b[0m\n\u001b[0;32m 284\u001b[0m \u001b[1;32mfor\u001b[0m \u001b[0mi\u001b[0m \u001b[1;32min\u001b[0m \u001b[0mrange\u001b[0m\u001b[1;33m(\u001b[0m\u001b[0mself\u001b[0m\u001b[1;33m.\u001b[0m\u001b[0msize\u001b[0m\u001b[1;33m)\u001b[0m\u001b[1;33m:\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[0;32m 285\u001b[0m \u001b[1;32mif\u001b[0m \u001b[1;33m(\u001b[0m\u001b[0mtime\u001b[0m\u001b[1;33m[\u001b[0m\u001b[0mi\u001b[0m\u001b[1;33m]\u001b[0m \u001b[1;32mis\u001b[0m \u001b[1;32mNone\u001b[0m\u001b[1;33m)\u001b[0m \u001b[1;32mor\u001b[0m \u001b[1;33m(\u001b[0m\u001b[0mnp\u001b[0m\u001b[1;33m.\u001b[0m\u001b[0misnan\u001b[0m\u001b[1;33m(\u001b[0m\u001b[0mtime\u001b[0m\u001b[1;33m[\u001b[0m\u001b[0mi\u001b[0m\u001b[1;33m]\u001b[0m\u001b[1;33m)\u001b[0m\u001b[1;33m)\u001b[0m\u001b[1;33m:\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[1;32m--> 286\u001b[1;33m raise RuntimeError('Cannot initialise a Variable with a Field if no time provided. '\n\u001b[0m\u001b[0;32m 287\u001b[0m 'Add a \"time=\" to ParticleSet construction')\n\u001b[0;32m 288\u001b[0m \u001b[0mv\u001b[0m\u001b[1;33m.\u001b[0m\u001b[0minitial\u001b[0m\u001b[1;33m.\u001b[0m\u001b[0mfieldset\u001b[0m\u001b[1;33m.\u001b[0m\u001b[0mcomputeTimeChunk\u001b[0m\u001b[1;33m(\u001b[0m\u001b[0mtime\u001b[0m\u001b[1;33m[\u001b[0m\u001b[0mi\u001b[0m\u001b[1;33m]\u001b[0m\u001b[1;33m,\u001b[0m \u001b[1;36m0\u001b[0m\u001b[1;33m)\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n", "\u001b[1;31mRuntimeError\u001b[0m: Cannot initialise a Variable with a Field if no time provided. Add a \"time=\" to ParticleSet construction" ] } ], "source": [ "repeatdt = delta(hours=3)\n", "\n", "pset = ParticleSet(fieldset=fieldset, pclass=SampleParticle, lon=lon, lat=lat, repeatdt=repeatdt)" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "Since the initial time is not defined, the `Variable` class does not know at what time to access the temperature field." ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "The solution to this initialisation problem is to leave the initial value zero and sample the initial condition in JIT mode with the sampling Kernel:" ] }, { "cell_type": "code", "execution_count": 5, "metadata": {}, "outputs": [], "source": [ "class SampleParticleInitZero(JITParticle): # Define a new particle class\n", " temperature = Variable('temperature', initial=0) # Variable 'temperature' initially zero\n", "\n", "pset = ParticleSet(fieldset=fieldset, pclass=SampleParticleInitZero, lon=lon, lat=lat, time=time)\n", "\n", "def SampleT(particle, fieldset, time):\n", " particle.temperature = fieldset.T[time, particle.depth, particle.lat, particle.lon]\n", "sample_kernel = pset.Kernel(SampleT) # Casting the SampleT function to a kernel." ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "To sample the initial values we can execute the Sample kernel over the entire particleset with dt = 0 so that time does not increase" ] }, { "cell_type": "code", "execution_count": 6, "metadata": {}, "outputs": [ { "name": "stderr", "output_type": "stream", "text": [ "INFO: Compiled SampleParticleInitZeroSampleT ==> C:\\Users\\GEBRUI~1\\AppData\\Local\\Temp\\parcels-tmp\\95267e2b33bce749036c721bfb587691_0.dll\n", "WARNING: dt or runtime are zero, or endtime is equal to Particle.time. The kernels will be executed once, without incrementing time\n", "INFO: Compiled SampleParticleInitZeroAdvectionRK4SampleT ==> C:\\Users\\GEBRUI~1\\AppData\\Local\\Temp\\parcels-tmp\\7e5de9a8e76698139bc7c407a0d61d6f_0.dll\n" ] } ], "source": [ "pset.execute(sample_kernel, dt=0) # by only executing the sample kernel we record the initial temperature of the particles\n", "\n", "output_file = pset.ParticleFile(name=\"InitZero.nc\", outputdt=delta(hours=1))\n", "pset.execute(AdvectionRK4 + sample_kernel, runtime=delta(hours=30), dt=delta(minutes=5),\n", " output_file=output_file)\n", "output_file.export() # export the trajectory data to a netcdf file\n", "output_file.close()" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "The particle dataset now contains the particle trajectories and the corresponding environmental temperature" ] }, { "cell_type": "code", "execution_count": 7, "metadata": {}, "outputs": [ { "data": { "image/png": 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\n", "text/plain": [ "
" ] }, "metadata": { "needs_background": "light" }, "output_type": "display_data" } ], "source": [ "Particle_data = xr.open_dataset(\"InitZero.nc\")\n", "\n", "plt.figure()\n", "ax = plt.axes()\n", "ax.set_ylabel('Y')\n", "ax.set_xlabel('X')\n", "ax.set_ylim(1000, 49000)\n", "ax.set_xlim(1000, 99000)\n", "ax.plot(Particle_data.lon.transpose(), Particle_data.lat.transpose(), c='k', zorder=1)\n", "T_scatter = ax.scatter(Particle_data.lon, Particle_data.lat, c=Particle_data.temperature, \n", " cmap=plt.cm.inferno, norm=mpl.colors.Normalize(vmin=0., vmax=20.), \n", " edgecolor='k', zorder=2)\n", "plt.colorbar(T_scatter, label='T [$^{\\circ} C$]')\n", "plt.show()" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "### Sampling initial values" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "In some simulations only the particles initial value within the field is of interest: the variable does not need to be known along the entire trajectory. To reduce computing we can specify the `to_write` argument to the temperature `Variable`. This argument can have three values: `True`, `False` or `'once'`. It determines whether to write the `Variable` to the output file. If we want to know only the initial value, we can enter `'once'` and only the first value will be written to the output file." ] }, { "cell_type": "code", "execution_count": 8, "metadata": {}, "outputs": [], "source": [ "class SampleParticleOnce(JITParticle): # Define a new particle class\n", " temperature = Variable('temperature', initial=0, to_write='once') # Variable 'temperature'\n", " \n", "pset = ParticleSet(fieldset=fieldset, pclass=SampleParticleOnce, lon=lon, lat=lat, time=time)" ] }, { "cell_type": "code", "execution_count": 9, "metadata": {}, "outputs": [ { "name": "stderr", "output_type": "stream", "text": [ "INFO: Compiled SampleParticleInitZeroSampleT ==> C:\\Users\\GEBRUI~1\\AppData\\Local\\Temp\\parcels-tmp\\a7be8026cea52a1209527ece608da439_0.dll\n", "INFO: Compiled SampleParticleOnceAdvectionRK4 ==> C:\\Users\\GEBRUI~1\\AppData\\Local\\Temp\\parcels-tmp\\a89daffb525400878a75fcf5f9700e46_0.dll\n" ] } ], "source": [ "pset.execute(sample_kernel, dt=0) # by only executing the sample kernel we record the initial temperature of the particles\n", "\n", "output_file = pset.ParticleFile(name=\"WriteOnce.nc\", outputdt=delta(hours=1))\n", "pset.execute(AdvectionRK4, runtime=delta(hours=24), dt=delta(minutes=5),\n", " output_file=output_file)\n", "output_file.close()" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "Since all the particles are released at the same x-position and the temperature field is invariant in the y-direction, all particles have an initial temperature of 0.4$^\\circ$C" ] }, { "cell_type": "code", "execution_count": 10, "metadata": {}, "outputs": [ { "data": { "image/png": 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\n", "text/plain": [ "
" ] }, "metadata": { "needs_background": "light" }, "output_type": "display_data" } ], "source": [ "Particle_data = xr.open_dataset(\"WriteOnce.nc\")\n", "\n", "plt.figure()\n", "ax = plt.axes()\n", "ax.set_ylabel('Y')\n", "ax.set_xlabel('X')\n", "ax.set_ylim(1000, 49000)\n", "ax.set_xlim(1000, 99000)\n", "ax.plot(Particle_data.lon.transpose(), Particle_data.lat.transpose(), c='k', zorder=1)\n", "T_scatter = ax.scatter(Particle_data.lon, Particle_data.lat, \n", " c=np.tile(Particle_data.temperature, (Particle_data.lon.shape[1], 1)).T,\n", " cmap=plt.cm.inferno, norm=mpl.colors.Normalize(vmin=0., vmax=1.), \n", " edgecolor='k', zorder=2)\n", "plt.colorbar(T_scatter, label='Initial T [$^{\\circ} C$]')\n", "plt.show()" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "### Sampling with repeatdt" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "Some experiments require large sets of particles to be released repeatedly on the same locations. The [`particleset`](https://oceanparcels.org/gh-pages/html/#module-parcels.particleset) object has the option `repeatdt` for this, but when you want to sample the initial values this introduces some problems as we have seen [here](#repeatdt_error). For more advanced control over the repeated release of particles, you can manually write a for-loop using the function `particleset.add()`. Note that this for-loop is very similar to the one that `repeatdt` would execute under the hood in `particleset.execute()`.\n", "\n", "Adding particles to the `particleset` during the simulation reduces the memory used compared to specifying the delayed particle release times upfront, which improves the computational speed. In the loop, we want to initialise new particles and sample their initial temperature. If we want to write both the initialised particles with the sampled temperature and the older particles that have already been advected, we have to make sure both sets of particles find themselves at the same moment in time. The initial conditions must be written to the output file before advecting them, because during advection the `particle.time` will increase.\n", "\n", "We do not specify the `outputdt` argument for the `output_file` and instead write the data with `output_file.write(pset, time)` on each iteration. A new particleset is initialised whenever time is a multiple of `repeatdt`. Because the particles are advected after being written, the last displacement must be written once more after the loop." ] }, { "cell_type": "code", "execution_count": 11, "metadata": {}, "outputs": [ { "name": "stderr", "output_type": "stream", "text": [ "INFO: Compiled SampleParticleInitZeroSampleT ==> C:\\Users\\GEBRUI~1\\AppData\\Local\\Temp\\parcels-tmp\\d441e19c77676cd806da7f8e4c974550_0.dll\n", "INFO: Compiled SampleParticleInitZeroAdvectionRK4SampleT ==> C:\\Users\\GEBRUI~1\\AppData\\Local\\Temp\\parcels-tmp\\d1281aa8d15fe9594b477ca71b782dce_0.dll\n" ] }, { "name": "stdout", "output_type": "stream", "text": [ "Length of pset: 10\n", "Length of pset: 10\n", "Length of pset: 10\n", "Length of pset: 10\n", "Length of pset: 10\n", "Length of pset: 10\n" ] }, { "name": "stderr", "output_type": "stream", "text": [ "INFO: Compiled SampleParticleInitZeroSampleT ==> C:\\Users\\GEBRUI~1\\AppData\\Local\\Temp\\parcels-tmp\\01fc394199c11f84c25331b4797a64a0_0.dll\n" ] }, { "name": "stdout", "output_type": "stream", "text": [ "Length of pset: 20\n", "Length of pset: 20\n", "Length of pset: 20\n", "Length of pset: 20\n", "Length of pset: 20\n", "Length of pset: 20\n" ] }, { "name": "stderr", "output_type": "stream", "text": [ "INFO: Compiled SampleParticleInitZeroSampleT ==> C:\\Users\\GEBRUI~1\\AppData\\Local\\Temp\\parcels-tmp\\1dcf704643338d59fe9815a88cd8967c_0.dll\n" ] }, { "name": "stdout", "output_type": "stream", "text": [ "Length of pset: 30\n", "Length of pset: 30\n", "Length of pset: 30\n", "Length of pset: 30\n", "Length of pset: 30\n", "Length of pset: 30\n" ] }, { "name": "stderr", "output_type": "stream", "text": [ "INFO: Compiled SampleParticleInitZeroSampleT ==> C:\\Users\\GEBRUI~1\\AppData\\Local\\Temp\\parcels-tmp\\0364537a5edb2a00eaf61893bcae1143_0.dll\n" ] }, { "name": "stdout", "output_type": "stream", "text": [ "Length of pset: 40\n", "Length of pset: 40\n", "Length of pset: 40\n", "Length of pset: 40\n", "Length of pset: 40\n", "Length of pset: 40\n" ] } ], "source": [ "outputdt = delta(hours=1).total_seconds() # write the particle data every hour\n", "repeatdt = delta(hours=6).total_seconds() # release each set of particles six hours later\n", "runtime = delta(hours=24).total_seconds() \n", "\n", "pset = ParticleSet(fieldset=fieldset, pclass=SampleParticleInitZero, lon=[], lat=[], time=[]) # Using SampleParticleInitZero\n", "kernels = AdvectionRK4 + sample_kernel\n", "\n", "output_file = pset.ParticleFile(name=\"RepeatLoop.nc\") # Do not specify the outputdt yet, so we can manually write the output\n", "\n", "for time in np.arange(0, runtime, outputdt):\n", " if time % repeatdt == 0: # time is a multiple of repeatdt\n", " pset_init = ParticleSet(fieldset=fieldset, pclass=SampleParticleInitZero, lon=lon, lat=lat, time=time)\n", " pset_init.execute(sample_kernel, dt=0) # record the initial temperature of the particles\n", " pset.add(pset_init) # add the newly released particles to the total particleset\n", " \n", " output_file.write(pset,time) # write the initialised particles and the advected particles\n", "\n", " pset.execute(kernels, runtime=outputdt, dt=delta(minutes=5))\n", " print('Length of pset at time %d: %d' % (time, len(pset)))\n", " \n", "output_file.write(pset, time+outputdt) \n", "\n", "output_file.close()" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "In each iteration of the loop, spanning six hours, we have added ten particles." ] }, { "cell_type": "code", "execution_count": 12, "metadata": {}, "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ "[ 0 0 0 0 0 0 0 0 0 0 6 6 6 6 6 6 6 6 6 6 12 12 12 12\n", " 12 12 12 12 12 12 18 18 18 18 18 18 18 18 18 18]\n" ] } ], "source": [ "Particle_data = xr.open_dataset(\"RepeatLoop.nc\")\n", "print(Particle_data.time[:,0].values / np.timedelta64(1, 'h')) # The initial hour at which each particle is released\n", "assert np.allclose(Particle_data.time[:,0].values / np.timedelta64(1, 'h'), [int(k/10)*6 for k in range(40)])" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "Let's check if the initial temperatures were sampled correctly for all particles" ] }, { "cell_type": "code", "execution_count": 13, "metadata": {}, "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ "[0.4040816 0.4040816 0.4040816 0.4040816 0.4040816 0.4040816 0.4040816\n", " 0.4040816 0.4040816 0.4040816 0.4040816 0.4040816 0.4040816 0.4040816\n", " 0.4040816 0.4040816 0.4040816 0.4040816 0.4040816 0.4040816 0.4040816\n", " 0.4040816 0.4040816 0.4040816 0.4040816 0.4040816 0.4040816 0.4040816\n", " 0.4040816 0.4040816 0.4040816 0.4040816 0.4040816 0.4040816 0.4040816\n", " 0.4040816 0.4040816 0.4040816 0.4040816 0.4040816]\n" ] } ], "source": [ "print(Particle_data.temperature[:,0].values)\n", "assert np.allclose(Particle_data.temperature[:,0].values, Particle_data.temperature[:,0].values[0])" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "And see if the sampling of the temperature field is done correctly along the trajectories" ] }, { "cell_type": "code", "execution_count": 14, "metadata": {}, "outputs": [ { "data": { "image/png": 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\n", "text/plain": [ "
" ] }, "metadata": { "needs_background": "light" }, "output_type": "display_data" } ], "source": [ "Release0 = Particle_data.where(Particle_data.time[:,0]==np.timedelta64(0, 's')) # the particles released at t = 0\n", "\n", "plt.figure()\n", "ax = plt.axes()\n", "ax.set_ylabel('Y')\n", "ax.set_xlabel('X')\n", "ax.set_ylim(1000, 49000)\n", "ax.set_xlim(1000, 99000)\n", "ax.plot(Release0.lon.transpose(), Release0.lat.transpose(), c='k', zorder=1)\n", "T_scatter = ax.scatter(Release0.lon, Release0.lat, c=Release0.temperature, \n", " cmap=plt.cm.inferno, norm=mpl.colors.Normalize(vmin=0., vmax=20.), \n", " edgecolor='k', zorder=2)\n", "plt.colorbar(T_scatter, label='T [$^{\\circ} C$]')\n", "plt.show()" ] } ], "metadata": { "celltoolbar": "Raw-celnotatie", "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": "3.6.11" } }, "nbformat": 4, "nbformat_minor": 4 }