{ "cells": [ { "cell_type": "markdown", "metadata": {}, "source": [ "# Parcels Tutorial" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "Welcome to a quick tutorial on Parcels. This is meant to get you started with the code, and give you a flavour of some of the key features of Parcels." ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "In this tutorial, we will first cover how to run a set of particles [from a very simple idealised field](#Running-particles-in-an-idealised-field). We will show how easy it is to run particles in [time-backward mode](#Running-particles-in-backward-time). Then, we will show how to [add custom behaviour](#Adding-a-custom-behaviour-kernel) to the particles. Then we will show how to [run particles in a set of NetCDF files from external data](#Reading-in-data-from-arbritrary-NetCDF-files). Then we will show how to use particles to [sample a field](#Sampling-a-Field-with-Particles) such as temperature or sea surface height. And finally, we will show how to [write a kernel that tracks the distance travelled by the particles](#A-second-example-kernel:-calculating-distance-travelled)." ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "Let's start with importing the relevant modules. The key ones are all in the `parcels` directory." ] }, { "cell_type": "code", "execution_count": 1, "metadata": {}, "outputs": [], "source": [ "from parcels import FieldSet, ParticleSet, Variable, JITParticle, AdvectionRK4, plotTrajectoriesFile\n", "import numpy as np\n", "import math\n", "from datetime import timedelta\n", "from operator import attrgetter" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "## Running particles in an idealised field" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "The first step to running particles with Parcels is to define a `FieldSet` object, which is simply a collection of hydrodynamic fields. In this first case, we use a simple flow of two idealised moving eddies. That field is saved in NetCDF format in the directory `examples/MovingEddies_data`. Since we know that the files are in what's called `Parcels FieldSet` format, we can call these files using the function `FieldSet.from_parcels()`." ] }, { "cell_type": "code", "execution_count": 2, "metadata": {}, "outputs": [], "source": [ "fieldset = FieldSet.from_parcels(\"MovingEddies_data/moving_eddies\")" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "The `fieldset` can then be visualised with the `show()` function. To show the zonal velocity (`U`), give the following command" ] }, { "cell_type": "code", "execution_count": 3, "metadata": {}, "outputs": [ { "data": { "image/png": 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mtEsA7wZIpVhz9WY5StPYtenFpxW+cmM9zFdZ5+n7WQJ5sY0zsM7L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\nA7CRcplHZts6Az+RpK8E/h3wEOAXJN1mZl8q6dO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"text/plain": [ "" ] }, "metadata": {}, "output_type": "display_data" } ], "source": [ "fieldset.U.show()" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "The next step is to define a `ParticleSet`. In this case, we start 2 particles at (3.3E, 46N) and (3.3E, 47.8N) using the `from_list` constructor method, that are advected on the `fieldset` we defined above. Note that we use `JITParticle` as `pclass`, because we will be executing the advection in JIT (Just-In-Time) mode. The alternative is to run in `scipy` mode, in which case `pclass` is `ScipyParticle`" ] }, { "cell_type": "code", "execution_count": 4, "metadata": {}, "outputs": [], "source": [ "pset = ParticleSet.from_list(fieldset=fieldset, # the fields on which the particles are advected\n", " pclass=JITParticle, # the type of particles (JITParticle or ScipyParticle)\n", " lon=[ 3.3, 3.3], # a vector of release longitudes \n", " lat=[46.0, 47.8]) # a vector of release latitudes" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "Print the `ParticleSet` to see where they start" ] }, { "cell_type": "code", "execution_count": 5, "metadata": {}, "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ "P[0](lon=3.300000, lat=46.000000, depth=0.000000, time=not_yet_set)\n", "P[1](lon=3.300000, lat=47.799999, depth=0.000000, time=not_yet_set)\n" ] } ], "source": [ "print(pset)" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "This output shows for each particle the (longitude, latitude, depth, time). Note that in this case the time is `not_yet_set`, that is because we didn't specify a `time` when we defined the `pset`." ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "To plot the positions of these particles on the zonal velocity, use the following command" ] }, { "cell_type": "code", "execution_count": 6, "metadata": {}, "outputs": [ { "data": { "image/png": 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OsP3Y5B5/Bvxgs3XNnkEmk8l0sLUoz+DewIW2L7K9G/hb4MROnjsC/xLu6wuAoyUdDiDp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\nCpr+5cAtZvbCVG5m7wPOzup9BLgkRhOdDsjM/k/SNwLT1OE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"text/plain": [ "" ] }, "metadata": {}, "output_type": "display_data" } ], "source": [ "pset.show(field=fieldset.U)" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "The final step is to run (or 'execute') the `ParticelSet`. We run the particles using the `AdvectionRK4` kernel, which is a 4th order Runge-Kutte implementation that comes with Parcels. We run the particles for 6 days (using the `timedelta` function from `datetime`), at an RK4 timestep of 5 minutes. We store the trajectory information at an interval of 1 hour in a file called `EddyParticles.nc`. Because `time` was `not_yet_set`, the particles will be advected from the first date available in the `fieldset`, which is the default behaviour." ] }, { "cell_type": "code", "execution_count": 7, "metadata": {}, "outputs": [ { "name": "stderr", "output_type": "stream", "text": [ "INFO: Compiled JITParticleAdvectionRK4 ==> /var/folders/r2/8593q8z93kd7t4j9kbb_f7p00000gr/T/parcels-504/6f9e3d09880cfb05f9eb5a91ed0b634d.so\n" ] } ], "source": [ "pset.execute(AdvectionRK4, # the kernel (which defines how particles move)\n", " runtime=timedelta(days=6), # the total length of the run\n", " dt=timedelta(minutes=5), # the timestep of the kernel\n", " output_file=pset.ParticleFile(name=\"EddyParticles\", outputdt=timedelta(hours=1))) # the file name and the time step of the outputs" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "The code should have run, which can be confirmed by printing and plotting the `ParticleSet` again" ] }, { "cell_type": "code", "execution_count": 8, "metadata": {}, "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ "P[0](lon=2.024550, lat=46.088692, depth=0.000000, time=518400.000000)\n", "P[1](lon=2.017325, lat=48.305149, depth=0.000000, time=518400.000000)\n" ] }, { "data": { "image/png": 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9DHgo8FN//ofAhcDWkv7OzL4+pv4RwMWUzo7jgNeZ2bclvQh4PfAPE7c8ohsW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\ns7X3xRIywOr74meBHwXmZZPbpL+R8wKbRAbnC04DDzWzbwJeBbztkOU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"text/plain": [ "" ] }, "metadata": {}, "output_type": "display_data" } ], "source": [ "print(pset)\n", "pset.show(field=fieldset.U)" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "Note that both the particles (the black dots) and the `U` field have moved in the plot above. Also, the `time` of the particles is now 518400 seconds, which is 6 days." ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "The trajectory information of the particles is stored in the `EddyParticles.nc` file. It can be quickly plotted using the `plotTrajectoriesFile` function." ] }, { "cell_type": "code", "execution_count": 9, "metadata": {}, "outputs": [ { "data": { "image/png": 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Iau6sM60Mr38Ht/U72ecOy2kFTMV+Me7vfUPUIrYw+W+G22bRmX3/kcjrU79u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\n7m1gwOXhwox4Ls1JMtLHBrEH7E3QFRlm58PyVt471ITDJqx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ZK+oNpdSkDqWhOb/RHoZG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\njUYTENpgaDQajSYg/h9CLcL5zsowFgAAAABJRU5ErkJggg==\n", "text/plain": [ "" ] }, "metadata": {}, "output_type": "display_data" }, { "data": { "text/plain": [ "" ] }, "execution_count": 9, "metadata": {}, "output_type": "execute_result" } ], "source": [ "plotTrajectoriesFile('EddyParticles.nc')" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "The `plotTrajectoriesFile` function can also be used to show the trajectories as an animation, by specifying that it has to run in `movie2d_notebook` mode. If we pass this to our function above, we can watch the particles go!" ] }, { "cell_type": "code", "execution_count": 10, "metadata": {}, "outputs": [ { "data": { "text/html": [ "" ], "text/plain": [ "" ] }, "execution_count": 10, "metadata": {}, "output_type": "execute_result" } ], "source": [ "plotTrajectoriesFile('EddyParticles.nc', mode='movie2d_notebook')" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "Now one of the neat features of Parcels is that the particles can be plotted as a movie *during execution*, which is great for debugging. To rerun the particles while plotting them on top of the zonal velocity field (`fieldset.U`), first reinitialise the `ParticleSet` and then re-execute. However, now rather than saving the output to a file, display a movie using the `moviedt` display frequency, in this case with the zonal velocity `fieldset.U` as background" ] }, { "cell_type": "code", "execution_count": 11, "metadata": {}, "outputs": [], "source": [ "# THIS DOES NOT WORK IN THIS IPYTHON NOTEBOOK, BECAUSE OF THE INLINE PLOTTING.\n", "# THE 'SHOW_MOVIE' KEYWORD WILL WORK ON MOST MACHINES, THOUGH\n", "# pset = ParticleSet(fieldset=fieldset, size=2, pclass=JITParticle, lon=[3.3, 3.3], lat=[46.0, 47.8])\n", "# pset.execute(AdvectionRK4,\n", "# runtime=timedelta(days=6),\n", "# dt=timedelta(minutes=5),\n", "# moviedt=timedelta(hours=1),\n", "# movie_background_field=fieldset.U)" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "## Running particles in backward time" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "Running particles in backward time is extremely simple: just provide a `dt` < 0. " ] }, { "cell_type": "code", "execution_count": 12, "metadata": {}, "outputs": [], "source": [ "pset.execute(AdvectionRK4,\n", " dt=-timedelta(minutes=5), # negative timestep for backward run\n", " runtime=timedelta(days=6), # the run time\n", " output_file=pset.ParticleFile(name=\"EddyParticles_Bwd\", outputdt=timedelta(hours=1))) # the file name and the time step of the outputs" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "Now print the particles again, and see that they (except for some round-off errors) returned to their original position" ] }, { "cell_type": "code", "execution_count": 13, "metadata": {}, "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ "P[0](lon=3.300004, lat=45.999912, depth=0.000000, time=0.000000)\n", "P[1](lon=3.300233, lat=47.800236, depth=0.000000, time=0.000000)\n" ] }, { "data": { "image/png": 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OsP3Y5B5/Bvxgs3XNnkEmk8l0sLUoz+DewIW2L7K9G/hb4MROnjsC/xLu6wuAoyUdDiDp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\nCpr+5cAtZvbCVG5m7wPOzup9BLgkRhOdDsjM/k/SNwLT1OE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"text/plain": [ "" ] }, "metadata": {}, "output_type": "display_data" } ], "source": [ "print(pset)\n", "pset.show(field=fieldset.U)" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "## Adding a custom behaviour kernel" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "A key feature of Parcels is the ability to quickly create very simple kernels, and add them to the execution. Kernels are little snippets of code that are run during exection of the particles." ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "In this example, we'll create a simple kernel where particles obtain an extra 2 m/s westward velocity after 1 day. Of course, this is not very realistic scenario, but it nicely illustrates the power of custom kernels." ] }, { "cell_type": "code", "execution_count": 14, "metadata": {}, "outputs": [], "source": [ "def WestVel(particle, fieldset, time, dt):\n", " if time > 86400:\n", " uvel = -2.\n", " particle.lon += uvel * dt / 1.1e5 # 1.1e5 m in 1 degree latitude" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "Now reset the `ParticleSet` again, and re-execute. Note that we have now changed `kernel` to be `AdvectionRK4 + k_WestVel`, where `k_WestVel` is the `WestVel` function as defined above cast into a `Kernel` object (via the `pset.Kernel` call)." ] }, { "cell_type": "code", "execution_count": 15, "metadata": {}, "outputs": [ { "name": "stderr", "output_type": "stream", "text": [ "INFO: Compiled JITParticleAdvectionRK4WestVel ==> /var/folders/r2/8593q8z93kd7t4j9kbb_f7p00000gr/T/parcels-504/e769b72b8a3ff4d848dae4e097a7dc2c.so\n" ] } ], "source": [ "pset = ParticleSet.from_list(fieldset=fieldset, pclass=JITParticle, lon=[3.3, 3.3], lat=[46.0, 47.8])\n", "\n", "k_WestVel = pset.Kernel(WestVel) # casting the WestVel function to a kernel object\n", "\n", "pset.execute(AdvectionRK4 + k_WestVel, # simply add kernels using the + operator\n", " runtime=timedelta(days=3),\n", " dt=timedelta(minutes=5),\n", " output_file=pset.ParticleFile(name=\"EddyParticles_WestVel\", outputdt=timedelta(hours=1)))" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "And now plot this new trajectory file" ] }, { "cell_type": "code", "execution_count": 16, "metadata": {}, "outputs": [ { "data": { "image/png": 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"text/plain": [ "" ] }, "metadata": {}, "output_type": "display_data" }, { "data": { "text/plain": [ "" ] }, "execution_count": 16, "metadata": {}, "output_type": "execute_result" } ], "source": [ "plotTrajectoriesFile('EddyParticles_WestVel.nc')" ] }, { "cell_type": "markdown", "metadata": { "collapsed": true }, "source": [ "## Reading in data from arbritrary NetCDF files" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "In most cases, you will want to advect particles within pre-computed velocity fields. If these velocity fields are stored in NetCDF format, it is fairly easy to load them into the `FieldSet.from_netcdf()` function." ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "The `examples` directory contains a set of [GlobCurrent](http://globcurrent.ifremer.fr/products-data/products-overview) files of the region around South Africa." ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "First, define the names of the files containing the zonal (U) and meridional (V) velocities. You can use wildcards (`*`) and the filenames for U and V can be the same (as in this case)" ] }, { "cell_type": "code", "execution_count": 17, "metadata": {}, "outputs": [], "source": [ "filenames = {'U': \"GlobCurrent_example_data/20*.nc\",\n", " 'V': \"GlobCurrent_example_data/20*.nc\"}" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "Then, define a dictionary of the variables (`U` and `V`) and dimensions (`lon`, `lat` and `time`; note that in this case there is no `depth` because the GlobCurrent data is only for the surface of the ocean)" ] }, { "cell_type": "code", "execution_count": 18, "metadata": {}, "outputs": [], "source": [ "variables = {'U': 'eastward_eulerian_current_velocity',\n", " 'V': 'northward_eulerian_current_velocity'}\n", "dimensions = {'lat': 'lat',\n", " 'lon': 'lon',\n", " 'time': 'time'}" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "Finally, read in the fieldset using the `FieldSet.from_netcdf` function with the above-defined `filenames`, `variables` and `dimensions`" ] }, { "cell_type": "code", "execution_count": 19, "metadata": {}, "outputs": [ { "name": "stderr", "output_type": "stream", "text": [ "WARNING: Casting lon data to np.float32\n", "WARNING: Casting lat data to np.float32\n", "WARNING: Casting depth data to np.float32\n" ] } ], "source": [ "fieldset = FieldSet.from_netcdf(filenames, variables, dimensions)" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "Now define a `ParticleSet`, in this case with 5 particle starting on a line between (28E, 33S) and (30E, 33S) using the `ParticleSet.from_line` constructor method" ] }, { "cell_type": "code", "execution_count": 20, "metadata": {}, "outputs": [], "source": [ "pset = ParticleSet.from_line(fieldset=fieldset, pclass=JITParticle,\n", " size=5, # releasing 5 particles\n", " start=(28, -33), # releasing on a line: the start longitude and latitude\n", " finish=(30, -33)) # releasing on a line: the end longitude and latitude" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "And finally execute the `ParticleSet` for 10 days using 4th order Runge-Kutta" ] }, { "cell_type": "code", "execution_count": 21, "metadata": {}, "outputs": [ { "name": "stderr", "output_type": "stream", "text": [ "INFO: Compiled JITParticleAdvectionRK4 ==> /var/folders/r2/8593q8z93kd7t4j9kbb_f7p00000gr/T/parcels-504/c20f5cbbfdd82507b3806d89ba01dd23.so\n" ] } ], "source": [ "pset.execute(AdvectionRK4,\n", " runtime=timedelta(days=10),\n", " dt=timedelta(minutes=5),\n", " output_file=pset.ParticleFile(name=\"GlobCurrentParticles\", outputdt=timedelta(hours=6)))" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "Now visualise this simulation using the `plotParticles` script again. Note you can plot the particles on top of one of the velocity fields using the `tracerfile`, `tracerfield`, etc keywords." ] }, { "cell_type": "code", "execution_count": 22, "metadata": {}, "outputs": [ { "data": { "image/png": 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z51MCsgi/OLWMrx+7mp+duqSwJkRvSwvZ7o0kj3ax6ZWZbOg8RvrC9SCKNDB6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\nB8jVIginUqh2nErCqLa+iY4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"text/plain": [ "" ] }, "metadata": {}, "output_type": "display_data" }, { "data": { "text/plain": [ "" ] }, "execution_count": 22, "metadata": {}, "output_type": "execute_result" } ], "source": [ "plotTrajectoriesFile('GlobCurrentParticles.nc',\n", " tracerfile='GlobCurrent_example_data/20020101000000-GLOBCURRENT-L4-CUReul_hs-ALT_SUM-v02.0-fv01.0.nc',\n", " tracerlon='lon',\n", " tracerlat='lat',\n", " tracerfield='eastward_eulerian_current_velocity')" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "## Sampling a Field with Particles" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "One typical use case of particle simulations is to sample a Field (such as temperature, vorticity or sea surface hight) along a particle trajectory. In Parcels, this is very easy to do, with a custom Kernel." ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "Let's read in another example, the flow around a Peninsula (see [Fig 2.2.3 in this document](http://archimer.ifremer.fr/doc/00157/26792/24888.pdf)), and this time also load the Pressure (`P`) field, using `extra_fields={'P': 'P'}`. Note that, because this flow does not depend on time, we need to set `allow_time_extrapolation=True` when reading in the fieldset." ] }, { "cell_type": "code", "execution_count": 23, "metadata": {}, "outputs": [], "source": [ "fieldset = FieldSet.from_parcels(\"Peninsula_data/peninsula\", extra_fields={'P': 'P'}, allow_time_extrapolation=True)" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "Now define a new `Particle` class that has an extra `Variable`: the pressure. We initialise this by sampling the `fieldset.P` field." ] }, { "cell_type": "code", "execution_count": 24, "metadata": {}, "outputs": [], "source": [ "class SampleParticle(JITParticle): # Define a new particle class\n", " p = Variable('p', initial=fieldset.P) # Variable 'p' initialised by sampling the pressure" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "Now define a `ParticleSet` using the `from_line` method also used above in the GlobCurrent data. Plot the `pset` and print their pressure values `p`" ] }, { "cell_type": "code", "execution_count": 25, "metadata": {}, "outputs": [ { "data": { "image/png": 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OxMDiGcAzbQURuTeGiCoih2IeSXiNiOwETFT1pur1Y4HXZvWaE3qZDyBYNQgY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\nhxWbpYoiqsaZpqCMINz4sd+gnCjC8hxZhOOmzFHueARhxGojZ5YacH7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"text/plain": [ "" ] }, "metadata": {}, "output_type": "display_data" }, { "name": "stdout", "output_type": "stream", "text": [ "('p values before execution:', [-4.6339731, -13.038223, -22.007469, -31.454386, -41.185543])\n" ] } ], "source": [ "pset = ParticleSet.from_line(fieldset=fieldset, pclass=SampleParticle, \n", " start=(0.1, 0.05), finish=(0.1, 0.4), size=5, time=0)\n", "pset.show(field=fieldset.P, vmax=1)\n", "print('p values before execution:', [p.p for p in pset])" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "Now create a custom function that samples the `fieldset.P` field at the particle location. Cast this function to a `Kernel`." ] }, { "cell_type": "code", "execution_count": 26, "metadata": {}, "outputs": [], "source": [ "def SampleP(particle, fieldset, time, dt): # Custom function that samples fieldset.P at particle location\n", " particle.p = fieldset.P[time, particle.lon, particle.lat, particle.depth]\n", "\n", "k_sample = pset.Kernel(SampleP) # Casting the SampleP function to a kernel." ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "Finally, execute the `pset` with a combination of the `AdvectionRK4` and `SampleP` kernels, plot the `pset` and print their new pressure values `p`" ] }, { "cell_type": "code", "execution_count": 27, "metadata": {}, "outputs": [ { "name": "stderr", "output_type": "stream", "text": [ "INFO: Compiled SampleParticleAdvectionRK4SampleP ==> /var/folders/r2/8593q8z93kd7t4j9kbb_f7p00000gr/T/parcels-504/1757739fd0e983ced21c54e1d153ec3e.so\n" ] }, { "data": { "image/png": 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Hxgz2Geg32HfVPxQqvgFNEbaOs3dP7SEidljo9FD0xGOXYkL7HwWeQXNd9dkz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\n1zE2WUEZeYTnp+p0mKrG9QuJJFeXPkLxKDRFM19T1TKip7YbdrwjvMn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"text/plain": [ "" ] }, "metadata": {}, "output_type": "display_data" }, { "name": "stdout", "output_type": "stream", "text": [ "('p values after execution:', [-4.6339455, -13.037563, -22.007505, -31.454361, -41.18549])\n" ] } ], "source": [ "pset.execute(AdvectionRK4 + k_sample, # Add kernels using the + operator.\n", " runtime=timedelta(hours=20),\n", " dt=timedelta(minutes=5))\n", "pset.show(field=fieldset.P, vmax=1)\n", "print('p values after execution:', [p.p for p in pset])" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "And see that these pressure values `p` are (within roundoff errors) the same as the pressure values before the execution of the kernels. The particles thus stay on isobars!" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "## Calculating distance travelled" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "As a second example of what custom kernels can do, we will now show how to create a kernel that logs the total distance that particles have travelled." ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "First, we need to create a new `Particle` class that includes three extra variables. The `distance` variable will be written to output, but the auxiliary variables `prev_lon` and `prev_lat` won't be written to output (can be controlled using the `to_write` keyword)" ] }, { "cell_type": "code", "execution_count": 28, "metadata": {}, "outputs": [], "source": [ "class DistParticle(JITParticle): # Define a new particle class that contains three extra variables\n", " distance = Variable('distance', initial=0., dtype=np.float32) # the distance travelled\n", " prev_lon = Variable('prev_lon', dtype=np.float32, to_write=False,\n", " initial=attrgetter('lon')) # the previous longitude\n", " prev_lat = Variable('prev_lat', dtype=np.float32, to_write=False,\n", " initial=attrgetter('lat')) # the previous latitude." ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "Now define a new function `TotalDistance` that calculates the sum of Euclidean distances between the old and new locations in each RK4 step" ] }, { "cell_type": "code", "execution_count": 29, "metadata": {}, "outputs": [], "source": [ "def TotalDistance(particle, fieldset, time, dt):\n", " # Calculate the distance in latitudinal direction (using 1.11e2 kilometer per degree latitude)\n", " lat_dist = (particle.lat - particle.prev_lat) * 1.11e2\n", " # Calculate the distance in longitudinal direction, using cosine(latitude) - spherical earth\n", " lon_dist = (particle.lon - particle.prev_lon) * 1.11e2 * math.cos(particle.lat * math.pi / 180)\n", " # Calculate the total Euclidean distance travelled by the particle\n", " particle.distance += math.sqrt(math.pow(lon_dist, 2) + math.pow(lat_dist, 2))\n", "\n", " particle.prev_lon = particle.lon # Set the stored values for next iteration.\n", " particle.prev_lat = particle.lat" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "We will run this on a `ParticleSet` containing the two particles within the idealised moving eddies fieldset from above. Note that `pclass=DistParticle` in this case" ] }, { "cell_type": "code", "execution_count": 30, "metadata": {}, "outputs": [], "source": [ "fieldset = FieldSet.from_parcels(\"MovingEddies_data/moving_eddies\")\n", "pset = ParticleSet.from_list(fieldset=fieldset, pclass=DistParticle, lon=[3.3, 3.3], lat=[46.0, 47.8])" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "Again define a new kernel to include the function written above and execute the `ParticleSet`." ] }, { "cell_type": "code", "execution_count": 31, "metadata": {}, "outputs": [ { "name": "stderr", "output_type": "stream", "text": [ "INFO: Compiled DistParticleAdvectionRK4TotalDistance ==> /var/folders/r2/8593q8z93kd7t4j9kbb_f7p00000gr/T/parcels-504/4e9515f6eb2476a1534e61d6c083b7cd.so\n" ] } ], "source": [ "k_dist = pset.Kernel(TotalDistance) # Casting the TotalDistance function to a kernel.\n", "\n", "pset.execute(AdvectionRK4 + k_dist, # Add kernels using the + operator.\n", " runtime=timedelta(days=6),\n", " dt=timedelta(minutes=5),\n", " output_file=pset.ParticleFile(name=\"EddyParticles_Dist\", outputdt=timedelta(hours=1)))" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "And finally print the distance that each particle has travelled (note that this is also stored in the `EddyParticles_Dist.nc` file)" ] }, { "cell_type": "code", "execution_count": 32, "metadata": {}, "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ "[952.56305, 990.1734]\n" ] } ], "source": [ "print([p.distance for p in pset])" ] } ], "metadata": { "kernelspec": { "display_name": "Python 2", "language": "python", "name": "python2" }, "language_info": { "codemirror_mode": { "name": "ipython", "version": 2 }, "file_extension": ".py", "mimetype": "text/x-python", "name": "python", "nbconvert_exporter": "python", "pygments_lexer": "ipython2", "version": "2.7.14" } }, "nbformat": 4, "nbformat_minor": 1 }