{ "cells": [ { "cell_type": "markdown", "metadata": {}, "source": [ "# CROCO 3D tutorial" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "This tutorial will show how to run a 3D simulation with output from the CROCO model." ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "## Example setup" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "We start with loading the relevant modules and the data." ] }, { "cell_type": "code", "execution_count": 1, "metadata": {}, "outputs": [], "source": [ "import os\n", "\n", "import matplotlib.pyplot as plt\n", "import numpy as np\n", "import xarray as xr\n", "\n", "import parcels\n", "\n", "example_dataset_folder = parcels.download_example_dataset(\"CROCOidealized_data\")\n", "file = os.path.join(example_dataset_folder, \"CROCO_idealized.nc\")" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "The simulation will be a very simple, idealised flow: a purely zonal flow over a sloping bottom. This flow (which is somewhat unrealistic of course) nicely showcases that particles stay on their initial depth levels, even though the sigma-layers slope down. \n", "\n", "This flow has been created by first running the example from the [Shelf front example on the CROCO website](https://croco-ocean.gitlabpages.inria.fr/croco_doc/model/model.test_cases.shelfront.html). Then, we took the restart file are manually replaced all the `u`-velocities with `1` m/s and all the `v`-velocities with `0` m/s. This way we get a purely zonal flow. We then started a new simulation from the restart file, and CROCO then automatically calculated the `w` velocities to match the new zonal field. We saved the `time=0` snapshot from this new run and use it below." ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "Now we create a FieldSet object using the `FieldSet.from_croco()` method. Note that CROCO is a C-grid (with similar indexing at MITgcm), so we need to provide the longitudes and latitudes of the $\\rho$-points of the grid (`lon_rho` and `lat_rho`). We also need to provide the sigma levels at the depth points (`s_w`). Finally, it is important to also provide the bathymetry field (`h`), which is needed to convert the depth levels of the particles to sigma-coordinates." ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "
\n", "\n", "__Note__ that in the code below we use the `w` velocity field for vertical velocity. However, it is unclear whether this is always the right choice. CROCO (and ROMS) also output an `omega` field, which may be more appropriate to use. The idealised simulation below only works when using `w`, though. In other simulations, it is recommended to test whether `omega` provides more realistic results. See https://github.com/OceanParcels/Parcels/discussions/1728 for more information.\n", "
" ] }, { "cell_type": "code", "execution_count": 2, "metadata": {}, "outputs": [], "source": [ "variables = {\"U\": \"u\", \"V\": \"v\", \"W\": \"w\", \"H\": \"h\", \"Zeta\": \"zeta\", \"Cs_w\": \"Cs_w\"}\n", "\n", "lon_rho = \"x_rho\" # Note, this would be \"lon_rho\" for a dataset on a spherical grid\n", "lat_rho = \"y_rho\" # Note ,this would be \"lat_rho\" for a dataset on a spherical grid\n", "\n", "dimensions = {\n", " \"U\": {\"lon\": lon_rho, \"lat\": lat_rho, \"depth\": \"s_w\", \"time\": \"time\"},\n", " \"V\": {\"lon\": lon_rho, \"lat\": lat_rho, \"depth\": \"s_w\", \"time\": \"time\"},\n", " \"W\": {\"lon\": lon_rho, \"lat\": lat_rho, \"depth\": \"s_w\", \"time\": \"time\"},\n", " \"H\": {\"lon\": lon_rho, \"lat\": lat_rho},\n", " \"Zeta\": {\"lon\": lon_rho, \"lat\": lat_rho, \"time\": \"time\"},\n", " \"Cs_w\": {\"depth\": \"s_w\"},\n", "}\n", "fieldset = parcels.FieldSet.from_croco(\n", " file,\n", " variables,\n", " dimensions,\n", " hc=xr.open_dataset(\n", " file\n", " ).hc.values, # Note this stretching parameter is needed for the vertical grid\n", " allow_time_extrapolation=True, # Note, this is only needed for this specific example dataset, that has only one snapshot\n", " mesh=\"flat\", # Note, this is only needed for this specific example dataset, that has been created on a 'flat' mesh (i.e. in km instead of in degrees)\n", ")" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "Now we can use this Fieldset to advect particles as we would normally do. Note that the particle depths should be provided in (negative) meters, not in sigma-coordinates." ] }, { "cell_type": "code", "execution_count": 3, "metadata": {}, "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ "INFO: Output files are stored in croco_particles3D.zarr.\n", "100%|██████████| 50000.0/50000.0 [00:00<00:00, 131009.03it/s]\n" ] } ], "source": [ "X, Z = np.meshgrid(\n", " [40e3, 80e3, 120e3],\n", " [100, -10, -130, -250, -400, -850, -1400, -1550],\n", ")\n", "Y = np.ones(X.size) * fieldset.U.grid.lat[25]\n", "\n", "\n", "def DeleteParticle(particle, fieldset, time):\n", " if particle.state >= 50:\n", " particle.delete()\n", "\n", "\n", "pset = parcels.ParticleSet(\n", " fieldset=fieldset, pclass=parcels.JITParticle, lon=X, lat=Y, depth=Z\n", ")\n", "\n", "outputfile = pset.ParticleFile(name=\"croco_particles3D.zarr\", outputdt=5000)\n", "\n", "pset.execute(\n", " [parcels.AdvectionRK4_3D, DeleteParticle],\n", " runtime=5e4,\n", " dt=100,\n", " output_file=outputfile,\n", ")" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "Now we plot the particle trajectories below. Note that the particles stay on their initial depth levels, even though the sigma-layers slope down. Also note that particles released above the surface (where depth >0) or below the bathymetry are not advected (due to the `DeleteParticle` kernel)." ] }, { "cell_type": "code", "execution_count": 4, "metadata": { "tags": [ "nbsphinx-thumbnail" ] }, "outputs": [ { "data": { "image/png": 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", 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" ] }, "metadata": {}, "output_type": "display_data" } ], "source": [ "fig, ax = plt.subplots(1, 1, figsize=(6, 4))\n", "ds = xr.open_zarr(\"croco_particles3D.zarr\")\n", "\n", "ax.plot(ds.lon.T / 1e3, ds.z.T, \".-\")\n", "\n", "dsCROCO = xr.open_dataset(file)\n", "for z in dsCROCO.s_w.values:\n", " ax.plot(fieldset.H.lon / 1e3, fieldset.H.data[0, 25, :] * z, \"k\", linewidth=0.5)\n", "ax.set_xlabel(\"X [km]\")\n", "ax.set_xlim(30, 170)\n", "ax.set_ylabel(\"Depth [m]\")\n", "ax.set_title(\"Particles in idealized CROCO velocity field using 3D advection\")\n", "plt.tight_layout()\n", "plt.show()" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "### A CROCO simulation with no vertical velocities" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "It may be insightful to compare this 3D run with the `AdvectionRK4_3D` kernel with a run where the vertical velocity (`W`) is set to zero. In that case, the particles will not stay on their initial depth levels but instead follow sigma-layers." ] }, { "cell_type": "code", "execution_count": 5, "metadata": {}, "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ "INFO: Output files are stored in croco_particles_noW.zarr.\n", "100%|██████████| 50000.0/50000.0 [00:00<00:00, 132723.16it/s]\n" ] }, { "data": { "image/png": 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", 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" ] }, "metadata": {}, "output_type": "display_data" } ], "source": [ "import copy\n", "\n", "fieldset_noW = copy.copy(fieldset)\n", "fieldset_noW.W.data[:] = 0.0\n", "\n", "pset_noW = parcels.ParticleSet(\n", " fieldset=fieldset_noW, pclass=parcels.JITParticle, lon=X, lat=Y, depth=Z\n", ")\n", "\n", "outputfile = pset.ParticleFile(name=\"croco_particles_noW.zarr\", outputdt=5000)\n", "\n", "pset_noW.execute(\n", " [parcels.AdvectionRK4_3D, DeleteParticle],\n", " runtime=5e4,\n", " dt=100,\n", " output_file=outputfile,\n", ")\n", "\n", "fig, ax = plt.subplots(1, 1, figsize=(6, 4))\n", "ds = xr.open_zarr(\"croco_particles_noW.zarr\")\n", "\n", "ax.plot(ds.lon.T / 1e3, ds.z.T, \".-\")\n", "\n", "dsCROCO = xr.open_dataset(file)\n", "for z in dsCROCO.s_w.values:\n", " ax.plot(fieldset.H.lon / 1e3, fieldset.H.data[0, 25, :] * z, \"k\", linewidth=0.5)\n", "ax.set_xlabel(\"X [km]\")\n", "ax.set_xlim(30, 170)\n", "ax.set_ylabel(\"Depth [m]\")\n", "ax.set_title(\"Particles in idealized CROCO velocity field with W=0\")\n", "plt.tight_layout()\n", "plt.show()" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "## The algorithms used" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "When using `FieldSet.from_croco()`, Parcels knows that depth needs to be converted to sigma-coordinates, before doing any interpolation. This is done under the hood, using code for interpolation (in this case a `T` Field) like\n", "```python\n", "# First calculate local sigma level of the particle, by linearly interpolating the scaling function that maps sigma to depth (using local ocean depth H, sea-surface Zeta and stretching parameters Cs_w and hc). See also https://croco-ocean.gitlabpages.inria.fr/croco_doc/model/model.grid.html#vertical-grid-parameters\n", "h = fieldset.H[time, 0, particle.lat, particle.lon]\n", "zeta = fieldset.H[time, 0, particle.lat, particle.lon]\n", "sigma_levels = fieldset.U.grid.depth\n", "z0 = fieldset.hc * sigma_levels + (h - fieldset.hc) * fieldset.Cs_w\n", "zvec = z0 + zeta * (1 + (z0 / h))\n", "zinds = zvec <= z\n", "if z >= zvec[-1]:\n", " zi = len(zvec) - 2\n", "else:\n", " zi = zinds.argmin() - 1 if z >= zvec[0] else 0\n", "\n", "sigma = sigma_levels[zi] + (z - zvec[zi]) * (sigma_levels[zi + 1] - sigma_levels[zi]) / (zvec[zi + 1] - zvec[zi])\n", "\n", "# Now interpolate the field to the sigma level\n", "temp = fieldset.T[time, sigma, particle.lat, particle.lon]\n", "```" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "For the `AdvectionRK4_3D` kernel, Parcels will replace the kernel with `AdvectionRK4_3D_CROCO`, which works slightly different from the normal 3D advection kernel because it converts the vertical velocity in sigma-units. The conversion from depth to sigma is done at every time step, using the code shows above.\n", "\n", "In particular, the following algorithm is used (note that the RK4 version is slightly more complex than this Euler-Forward version, but the idea is identical)\n", "\n", "```python\n", "(u, v, w) = fieldset.UVW[time, particle.depth, particle.lat, particle.lon, particle] \n", "\n", "# scaling the w with the sigma level of the particle\n", "w_sigma = w * sigma / fieldset.H[time, particle.depth, particle.lat, particle.lon]\n", "\n", "lon_new = particle.lon + u*particle.dt\n", "lat_new = particle.lat + v*particle.dt\n", "\n", "# calculating new sigma level\n", "sigma_new = sigma + w_sigma*particle.dt \n", "\n", "# Converting back from sigma to depth, at _new_ location\n", "depth_new = sigma_new * fieldset.H[time, particle.depth, lat_new, lon_new]\n", "```" ] } ], "metadata": { "kernelspec": { "display_name": "parcels", "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": "3.12.3" } }, "nbformat": 4, "nbformat_minor": 2 }