{ "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": { "pycharm": { "is_executing": false } }, "outputs": [ { "name": "stderr", "text": [ "INFO: Compiled ParcelsRandom ==> /tmp/parcels-1000/libparcels_random_59244338-5976-4f44-8a10-c4e7fa5053d4.so\n" ], "output_type": "stream" } ], "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": { "pycharm": { "is_executing": false } }, "outputs": [ { "data": { "text/plain": "
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\n" }, "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": { "pycharm": { "is_executing": false } }, "outputs": [ { "name": "stderr", "text": [ "WARNING: Particle initialisation from field can be very slow as it is computed in scipy mode.\n" ], "output_type": "stream" } ], "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", "\n", "pset = ParticleSet(fieldset=fieldset, pclass=SampleParticle, lon=lon, lat=lat, time=time)\n", " " ] }, { "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" ], "pycharm": { "is_executing": false } }, "outputs": [ { "name": "stdout", "text": [ "Cannot initialise a Variable with a Field if no time provided (time-type: values: [None None None None None None None None None None]). Add a \"time=\" to ParticleSet construction\n" ], "output_type": "stream" } ], "source": [ "repeatdt = delta(hours=3)\n", "\n", "try:\n", " pset = ParticleSet(fieldset=fieldset, pclass=SampleParticle, lon=lon, lat=lat, repeatdt=repeatdt)\n", "except RuntimeError as e:\n", " print(e)" ] }, { "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": { "pycharm": { "is_executing": false } }, "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", "\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": { "pycharm": { "is_executing": false } }, "outputs": [ { "name": "stderr", "text": [ "INFO: Compiled ArraySampleParticleInitZeroSampleT ==> /tmp/parcels-1000/lib358f8b3b72bac6a1283abfcd85ed2533_0.so\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 ArraySampleParticleInitZeroAdvectionRK4SampleT ==> /tmp/parcels-1000/lib69ee3fd46f74ebba2a7c3e7647cd1268_0.so\n" ], "output_type": "stream" } ], "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), 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": { "pycharm": { "is_executing": false } }, "outputs": [ { "data": { "text/plain": "
", "image/png": 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\n" }, "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": { "pycharm": { "is_executing": false } }, "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": { "pycharm": { "is_executing": false } }, "outputs": [ { "name": "stderr", "text": [ "INFO: Compiled ArraySampleParticleOnceSampleT ==> /tmp/parcels-1000/lib1ee5d4c32931e02a06416553f4f0a4e1_0.so\n", "INFO: Compiled ArraySampleParticleOnceAdvectionRK4 ==> /tmp/parcels-1000/lib7553007768a155af8d1d61dad66a5993_0.so\n" ], "output_type": "stream" } ], "source": [ "pset.execute(sample_kernel, dt=0) # by only executing the sample kernel we record the initial temperature of the particles\n", "output_file = pset.ParticleFile(name=\"WriteOnce.nc\", outputdt=delta(hours=1))\n", "pset.execute(AdvectionRK4, runtime=delta(hours=24), dt=delta(minutes=5), 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": { "pycharm": { "is_executing": false } }, "outputs": [ { "data": { "text/plain": "
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\n" }, "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": { "pycharm": { "is_executing": false } }, "outputs": [ { "name": "stderr", "text": [ "INFO: Compiled ArraySampleParticleInitZeroSampleT ==> /tmp/parcels-1000/lib13237834d9cb506782389a5de7cdae46_0.so\n", "INFO: Compiled ArraySampleParticleInitZeroAdvectionRK4SampleT ==> /tmp/parcels-1000/libf691801b43ae7066923740235c9d4caa_0.so\n", "INFO: Compiled ArraySampleParticleInitZeroSampleT ==> /tmp/parcels-1000/lib69905a3f146dedbc2ff1544a727ee3c0_0.so\n", "INFO: Compiled ArraySampleParticleInitZeroSampleT ==> /tmp/parcels-1000/libd7969342c1b0360cff0e7719a1af4571_0.so\n", "INFO: Compiled ArraySampleParticleInitZeroSampleT ==> /tmp/parcels-1000/libc80658132e528f7d7f87f6c6689a3812_0.so\n" ], "output_type": "stream" }, { "name": "stdout", "text": [ "Length of pset at time 0: 10\n", "Length of pset at time 3600: 10\n", "Length of pset at time 7200: 10\n", "Length of pset at time 10800: 10\n", "Length of pset at time 14400: 10\n", "Length of pset at time 18000: 10\n", "Length of pset at time 21600: 20\n", "Length of pset at time 25200: 20\n", "Length of pset at time 28800: 20\n", "Length of pset at time 32400: 20\n", "Length of pset at time 36000: 20\n", "Length of pset at time 39600: 20\n", "Length of pset at time 43200: 30\n", "Length of pset at time 46800: 30\n", "Length of pset at time 50400: 30\n", "Length of pset at time 54000: 30\n", "Length of pset at time 57600: 30\n", "Length of pset at time 61200: 30\n", "Length of pset at time 64800: 40\n", "Length of pset at time 68400: 40\n", "Length of pset at time 72000: 40\n", "Length of pset at time 75600: 40\n", "Length of pset at time 79200: 40\n", "Length of pset at time 82800: 40\n" ], "output_type": "stream" } ], "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 np.isclose(np.fmod(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(SampleT, 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", " \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": { "pycharm": { "is_executing": false } }, "outputs": [ { "name": "stdout", "text": [ "[ 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 6. 6. 6. 6. 6. 6. 6. 6.\n", " 6. 6. 12. 12. 12. 12. 12. 12. 12. 12. 12. 12. 18. 18. 18. 18. 18. 18.\n", " 18. 18. 18. 18.]\n" ], "output_type": "stream" } ], "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": { "pycharm": { "is_executing": false } }, "outputs": [ { "name": "stdout", "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" ], "output_type": "stream" } ], "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": { "pycharm": { "is_executing": false } }, "outputs": [ { "data": { "text/plain": "
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\n" }, "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" }, "pycharm": { "stem_cell": { "cell_type": "raw", "source": [], "metadata": { "collapsed": false } } } }, "nbformat": 4, "nbformat_minor": 4 }