{ "cells": [ { "attachments": {}, "cell_type": "markdown", "metadata": {}, "source": [ "# Nemo 3D tutorial\n" ] }, { "attachments": {}, "cell_type": "markdown", "metadata": {}, "source": [ "One of the features of Parcels is that it can directly and natively work with `Field` data discretised on C-grids. These C grids are very popular in OGCMs, so velocity fields outputted by OGCMs are often provided on such grids, except if they have been firstly re-interpolated on a A grid.\n", "\n", "More information about C-grid interpolation can be found in [Delandmeter et al., 2019](https://www.geosci-model-dev-discuss.net/gmd-2018-339/).\n", "An example of such a discretisation is the NEMO model, which is one of the models supported in Parcels. A tutorial teaching how to [interpolate 2D data on a NEMO grid](https://docs.oceanparcels.org/en/latest/examples/tutorial_nemo_curvilinear.html) is available within Parcels.\n", "\n", "Here, we focus on 3D fields. Basically, it is a straightforward extension of the 2D example, but it is very easy to do a mistake in the setup of the vertical discretisation that would affect the interpolation scheme.\n", "\n", "## Preliminary comments\n", "\n", "_How to know if your data is discretised on a C grid?_ The best way is to read the documentation that comes with the data. Alternatively, an easy check is to assess the coordinates of the U, V and W fields: for an A grid, U, V and W are distributed on the same nodes, such that the coordinates are the same. For a C grid, there is a shift of half a cell between the different variables.\n", "\n", "_What about grid indexing?_ Since the C-grid variables are not located on the same nodes, there is not one obvious way to define the indexing, i.e. where is `u[k,j,i]` compared to `v[k,j,i]` and `w[k,j,i]`. In Parcels, we use the same notation as in NEMO: see [horizontal indexing](https://www.nemo-ocean.eu/doc/img360.png) and [vertical indexing](https://www.nemo-ocean.eu/doc/img362.png).\n", "It is important that you check if your data is following the same notation. Otherwise, you should re-index your data properly (this can be done within Parcels, there is no need to regenerate new netcdf files).\n", "\n", "_What about the accuracy?_ By default in Parcels, particle coordinates (i.e. longitude, latitude and depth) are stored using single-precision `np.float32` numbers. The advantage of this is that it saves some memory resources for the computation. In some applications, especially where particles travel very close to the coast, the single precision accuracy can lead to uncontrolled particle beaching, due to numerical rounding errors. In such case, you may want to double the coordinate precision to `np.float64`. This can be done by adding the parameter `lonlatdepth_dtype=np.float64` to the ParticleSet constructor. Note that for C-grid fieldsets such as in NEMO, the coordinates precision is set by default to `np.float64`.\n", "\n", "## How to create a 3D NEMO `dimensions` dictionary?\n", "\n", "In the following, we will show how to create the `dimensions` dictionary for 3D NEMO simulations. What you require is a 'mesh_mask' file, which in our case is called `coordinates.nc` but in some other versions of NEMO has a different name. In any case, it will have to contain the variables `glamf`, `gphif` and `depthw`, which are the longitude, latitude and depth of the mesh nodes, respectively. Note that `depthw` is not part of the mesh_mask file, but is in the same file as the w data (`wfiles[0]`).\n", "\n", "For the C-grid interpolation in Parcels to work properly, it is important that `U`, `V` and `W` are on the same grid.\n", "\n", "The code below is an example of how to create a 3D simulation with particles, starting in the mouth of the river Rhine at 1m depth, and advecting them through the North Sea using the `AdvectionRK4_3D`\n" ] }, { "cell_type": "code", "execution_count": 1, "metadata": {}, "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ "100%|██████████| 345600.0/345600.0 [00:00<00:00, 55244158.02it/s]\n" ] } ], "source": [ "from datetime import timedelta as delta\n", "from glob import glob\n", "\n", "import matplotlib.pyplot as plt\n", "import xarray as xr\n", "\n", "from parcels import (\n", " AdvectionRK4_3D,\n", " FieldSet,\n", " JITParticle,\n", " ParticleSet,\n", " XarrayDecodedFilter,\n", " download_example_dataset,\n", " logger,\n", ")\n", "\n", "# Add a filter for the xarray decoding warning\n", "logger.addFilter(XarrayDecodedFilter())\n", "\n", "example_dataset_folder = download_example_dataset(\"NemoNorthSeaORCA025-N006_data\")\n", "ufiles = sorted(glob(f\"{example_dataset_folder}/ORCA*U.nc\"))\n", "vfiles = sorted(glob(f\"{example_dataset_folder}/ORCA*V.nc\"))\n", "wfiles = sorted(glob(f\"{example_dataset_folder}/ORCA*W.nc\"))\n", "mesh_mask = f\"{example_dataset_folder}/coordinates.nc\"\n", "\n", "filenames = {\n", " \"U\": {\"lon\": mesh_mask, \"lat\": mesh_mask, \"depth\": wfiles[0], \"data\": ufiles},\n", " \"V\": {\"lon\": mesh_mask, \"lat\": mesh_mask, \"depth\": wfiles[0], \"data\": vfiles},\n", " \"W\": {\"lon\": mesh_mask, \"lat\": mesh_mask, \"depth\": wfiles[0], \"data\": wfiles},\n", "}\n", "\n", "variables = {\"U\": \"uo\", \"V\": \"vo\", \"W\": \"wo\"}\n", "\n", "# Note that all variables need the same dimensions in a C-Grid\n", "c_grid_dimensions = {\n", " \"lon\": \"glamf\",\n", " \"lat\": \"gphif\",\n", " \"depth\": \"depthw\",\n", " \"time\": \"time_counter\",\n", "}\n", "dimensions = {\n", " \"U\": c_grid_dimensions,\n", " \"V\": c_grid_dimensions,\n", " \"W\": c_grid_dimensions,\n", "}\n", "\n", "fieldset = FieldSet.from_nemo(filenames, variables, dimensions)\n", "\n", "pset = ParticleSet.from_line(\n", " fieldset=fieldset,\n", " pclass=JITParticle,\n", " size=10,\n", " start=(1.9, 52.5),\n", " finish=(3.4, 51.6),\n", " depth=1,\n", ")\n", "\n", "kernels = pset.Kernel(AdvectionRK4_3D)\n", "pset.execute(kernels, runtime=delta(days=4), dt=delta(hours=6))" ] }, { "cell_type": "code", "execution_count": 2, "metadata": {}, "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ "Level[8] depth is: [10.7679 12.846]\n" ] }, { "name": "stderr", "output_type": "stream", "text": [ "/var/folders/1n/500ln6w97859_nqq86vwpl000000gr/T/ipykernel_56153/3089997373.py:8: UserWarning: The input coordinates to pcolormesh are interpreted as cell centers, but are not monotonically increasing or decreasing. This may lead to incorrectly calculated cell edges, in which case, please supply explicit cell edges to pcolormesh.\n", " plt.pcolormesh(\n" ] }, { "data": { "image/png": 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", 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" ] }, "metadata": {}, "output_type": "display_data" } ], "source": [ "depth_level = 8\n", "print(\n", " f\"Level[{int(depth_level)}] depth is: \"\n", " f\"[{fieldset.W.grid.depth[depth_level]:g} \"\n", " f\"{fieldset.W.grid.depth[depth_level+1]:g}]\"\n", ")\n", "\n", "plt.pcolormesh(\n", " fieldset.U.grid.lon, fieldset.U.grid.lat, fieldset.U.data[0, depth_level, :, :]\n", ")\n", "plt.show()" ] }, { "attachments": {}, "cell_type": "markdown", "metadata": {}, "source": [ "## Adding other fields like cell edges\n", "\n", "It is quite straightforward to add other gridded data, on the same curvilinear or any other type of grid, to the fieldset. Because it is good practice to make no changes to a `FieldSet` once a `ParticleSet` has been defined in it, we redefine the fieldset and add the fields with the cell edges from the coordinates file using `FieldSet.add_field()`.\n" ] }, { "cell_type": "code", "execution_count": 3, "metadata": {}, "outputs": [], "source": [ "from parcels import Field" ] }, { "cell_type": "code", "execution_count": 4, "metadata": {}, "outputs": [], "source": [ "fieldset = FieldSet.from_nemo(filenames, variables, dimensions)" ] }, { "cell_type": "code", "execution_count": 5, "metadata": {}, "outputs": [], "source": [ "e1u = Field.from_netcdf(\n", " filenames=mesh_mask,\n", " variable=\"e1u\",\n", " dimensions={\"lon\": \"glamu\", \"lat\": \"gphiu\"},\n", " interp_method=\"nearest\",\n", ")\n", "e2u = Field.from_netcdf(\n", " filenames=mesh_mask,\n", " variable=\"e2u\",\n", " dimensions={\"lon\": \"glamu\", \"lat\": \"gphiu\"},\n", " interp_method=\"nearest\",\n", ")\n", "e1v = Field.from_netcdf(\n", " filenames=mesh_mask,\n", " variable=\"e1v\",\n", " dimensions={\"lon\": \"glamv\", \"lat\": \"gphiv\"},\n", " interp_method=\"nearest\",\n", ")\n", "e2v = Field.from_netcdf(\n", " filenames=mesh_mask,\n", " variable=\"e2v\",\n", " dimensions={\"lon\": \"glamv\", \"lat\": \"gphiv\"},\n", " interp_method=\"nearest\",\n", ")\n", "fieldset.add_field(e1u)\n", "fieldset.add_field(e2u)\n", "fieldset.add_field(e1v)\n", "fieldset.add_field(e2v)" ] } ], "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": 4 }