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The underlying data that forces the particle movement will likely be defined on a discretised grid. Parcels can natively handle two styles of grids; structured and unstructured, where Parcels `Field` objects exist on a (structured) `parcels.XGrid` and conform to [SGRID](https://sgrid.github.io/sgrid/) conventions, or on a (unstructured) `parcels.Uxgrid` and conform to [UGRID](https://ugrid-conventions.github.io/ugrid-conventions/) conventions. Here we describe these grids on a conceptual level.\n", + "\n", + "Under the hood, every `Field` in a `FieldSet` has a `grid` attribute. This `grid` stores the spatial and temporal information of the Field coordinates. The number of Grids in a FieldSet is thus always smaller or equal to the number of Field objects; and this is what the \"grid number\" column in `FieldSet.describe()` refers to.\n", + "\n", + "```{note}\n", + "Parcels comes ready with a range of `convert` functions which will convert your `xarray` dataset into a SGRID or UGRID compliant dataset. We currently provide support for NEMO, MITgcm, CROCO, FESOM, and SCHISM models. For other models, you can create your own `convert` function, or reach out on our discussion board for help.\n", + "```\n", + "\n", + "## Structured grids\n", + "\n", + "A structured grid is composed of quadrilateral elements, that are indexed using logical 2D or 3D indices, like $(i,j,k)$. In `xarray` terminology, these indices correspond to `dimensions`. For example, in NEMO datasets, $(x,y)$ typically define these dimensions horizontally, where the physical coordinates are $(glamf, gphif)$. A major benefit of structured grids is that grid cell neighbours are easily found by decrementing or incrementing these dimensions. However, in Parcels we either perform a binary search in the case of 1-dimensional coordinates, or use a hash table in the case of 2/3-dimensional coordinates.\n", + "\n", + "There are two styles of structured grids, rectilinear and curvilinear, as shown in Figure 1.\n", + "\n", + "1. Rectilinear grids are typically aligned with the coordinate axes (that is, there is a one-to-one mapping between the dimensions and the physical coordinate space), making them simple and computationally efficient to query. However, they're limited by the fact that it is difficult to resolve complex coastlines without high resolution, and they suffer from singularities in the flow fields at the poles where the grid lines converge.\n", + "\n", + "2. Curvilinear grids allow for curved grid lines, which allow for better representation of coastlines. They often move the poles onto land to avoid singularities occuring in the ocean. However, they become trickier to work with, as the spatial positions of their vertices (their [\"coordinates\" in xarray-parlance](https://docs.xarray.dev/en/latest/user-guide/terminology.html#term-Coordinate)) are stored in separate 2D arrays, and moving to an eastward neighbour is not as simple as incrementing the $i$-th dimension by 1.\n", + "\n", + "![**Figure 1 - Grid discretisations handled by Parcels. In the horizontal plane; (a) rectilinear, (b) curvilinear. In the vertical plane; (c) z-levels, (d) sigma-levels. Adapted from [Parcels v2.0 paper](https://doi.org/10.5194/gmd-12-3571-2019)**](../../_static/grid_discretisation.png)\n", + "\n", + "## Unstructured grids\n", + "\n", + "TODO: For Joe.\n", + "\n", + "## How your data may be defined\n", + "\n", + "Regardless of your grid type, how your data is defined on your grid is equally important. Here, we will describe how you can interpret your data at a very general level, and the concept applies for any $n$-gon ($n$-sided polygon with $n \\ge 3$).\n", + "\n", + "### Nodes, edges, and faces\n", + "\n", + "Let's assume we have a simple 2D rectilinear grid. The grid is composed of a number of nodes (or vertices), connected by edges, which together construct grid cells and grid cell faces. In Figure 2, we draw a simple grid cell. Here, your data may be defined on the corners of the grid cell (the nodes/vertices), at the centre of the cell face, or across a cell edge." + ] + }, + { + "cell_type": "code", + "execution_count": 31, + "id": "e975aad9", + "metadata": {}, + "outputs": [ + { + "data": { + "image/png": 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" + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], + "source": [ + "import numpy as np\n", + "import matplotlib.pyplot as plt\n", + "from scipy.interpolate import interp1d, RegularGridInterpolator\n", + "\n", + "# Ignore RuntimeWarnings that arise in plotting\n", + "import warnings\n", + "warnings.filterwarnings(\"ignore\", category=RuntimeWarning)\n", + "\n", + "plt.figure(figsize=(4, 4))\n", + "plt.axvline(x=0, color='black')\n", + "plt.axvline(x=1, color='black')\n", + "plt.axhline(y=0, color='black')\n", + "plt.axhline(y=1, color='black')\n", + "plt.scatter([0,0,1,1], [0,1,0,1], color='blue', s=50, label='Nodes/Vertices')\n", + "plt.scatter([0.5], [0.5], color='red', s=50, label='Centre of grid cell')\n", + "plt.xlim(-0.25, 1.25)\n", + "plt.ylim(-0.25, 1.25)\n", + "plt.xticks([])\n", + "plt.yticks([])\n", + "plt.legend()\n", + "plt.tight_layout()\n", + "plt.show()" + ] + }, + { + "cell_type": "markdown", + "id": "aff80f0d", + "metadata": {}, + "source": [ + "Figure 2 - A simple grid cell. Blue circles denote nodes (or vertices) of the grid cell. The red circle denotes the centre of the cell face.\n", + "\n", + "You will need to make several assumptions about your data. Your data may represent a point-wise \"sample\" of some field. For example, velocity data may be defined at the nodes of your grid, and a typical assumption to make is that you can bi-linearly interpolate these data points to your particle positions. In such an example, your velocity field may look like Figure 3. Bi-linear interpolation ensures continuity of the velocity at the cell boundaries, however, it does not ensure a smooth transition.\n" + ] + }, + { + "cell_type": "code", + "execution_count": 32, + "id": "010096c5", + "metadata": {}, + "outputs": [ + { + "data": { + "image/png": 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", + "text/plain": [ + "
" + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], + "source": [ + "# Construct dummy data for velocity field at the nodes of a single grid cell\n", + "xcoords, ycoords = np.linspace(0,1,2), np.linspace(0,1,2)\n", + "\n", + "u_data = np.array([[0, -0.5], [1, -1]])\n", + "v_data = np.array([[0, -2], [0, -2]])\n", + "\n", + "interp_u = RegularGridInterpolator((xcoords, ycoords), u_data, method='linear')\n", + "\n", + "interp_v = RegularGridInterpolator((xcoords, ycoords), v_data, method='linear')\n", + "\n", + "interp_xx, interp_yy = np.linspace(0,1,51), np.linspace(0,1,51)\n", + "interp_xx, interp_yy = np.meshgrid(interp_xx, interp_yy, indexing='ij')\n", + "\n", + "eval_points = np.stack([interp_xx.ravel(), interp_yy.ravel()], axis=-1)\n", + "\n", + "interp_u_data = interp_u(eval_points).reshape(51, 51)\n", + "interp_v_data = interp_v(eval_points).reshape(51, 51)\n", + "\n", + "interp_speed_data = np.sqrt(interp_u_data**2 + interp_v_data**2)\n", + "\n", + "# Plot the interpolated velocity vectors and speed data\n", + "mm=5\n", + "plt.axhline(0, linewidth=0.5, color='k')\n", + "plt.axvline(0, linewidth=0.5, color='k')\n", + "plt.axhline(1, linewidth=0.5, color='k')\n", + "plt.axvline(1, linewidth=0.5, color='k')\n", + "cb = plt.pcolormesh(interp_xx, interp_yy, interp_speed_data, shading='gouraud', cmap=plt.cm.viridis)\n", + "plt.quiver(interp_xx[::mm, ::mm], interp_yy[::mm, ::mm], interp_u_data[::mm,::mm], interp_v_data[::mm,::mm])\n", + "plt.title('Bi-linear interpolation of velocity data at nodes')\n", + "\n", + "plt.colorbar(cb, ax=plt.gca(), label='Speed [m/s]')\n", + "plt.xlabel('X [km]')\n", + "plt.ylabel('Y [km]')\n", + "\n", + "plt.xlim([-0.2,1.2])\n", + "plt.ylim([-0.2,1.2])\n", + "\n", + "plt.tight_layout()\n", + "plt.show()" + ] + }, + { + "cell_type": "markdown", + "id": "c3fcc5ab", + "metadata": {}, + "source": [ + "**Figure 3 - Bi-linear interpolation of point-wise data at nodes.**\n", + "\n", + "Alternatively, your data may represent an \"average value\" across a cell face. For example, your temperature and salinity data may be defined at the cell centre, and represent an average value for the entire grid cell. A typical assumption to make is that you can nearest-neighbour interpolate these data points to your particle positions. In such a case, your temperature field may look like figure 4. A nearest-neighbour interpolation scheme ensures you have a piece-wise constant field, typically with sharp transitions at grid cell boundaries." + ] + }, + { + "cell_type": "code", + "execution_count": 33, + "id": "db926f40", + "metadata": {}, + "outputs": [ + { + "data": { + "image/png": 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", + "text/plain": [ + "
" + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], + "source": [ + "xcoords, ycoords = np.linspace(0,1,2), np.linspace(0,1,2)\n", + "xx, yy = np.meshgrid(xcoords, ycoords, indexing='ij')\n", + "data = 18 + np.random.rand(1)*np.array([[-1, 1], [0, 2]])\n", + "\n", + "mm=5\n", + "# Paste the data at different locations to show the effect of nearest-neighbour interpolation\n", + "for i in [1,-1]:\n", + " for j in [-1, 1]:\n", + " plt.pcolormesh(xx + i*0.5, yy + j*0.5, data, shading='auto', cmap=plt.cm.viridis)\n", + " plt.scatter(xx+ i*0.5, yy + j*0.5, c='k', zorder=20)\n", + "cb = plt.pcolormesh(xx+0.5, yy + 0.5, 18 + 0.5*data, shading='auto', cmap=plt.cm.viridis, zorder=10)\n", + "\n", + "plt.title('Nearest-neighbour interpolation of\\ntemperature data at cell centres')\n", + "\n", + "plt.colorbar(cb, ax=plt.gca(), label='Temperature [deg C]')\n", + "plt.xlabel('X [km]')\n", + "plt.ylabel('Y [km]')\n", + "plt.axhline(-1, linewidth=0.5, color='k', zorder=30)\n", + "plt.axhline(0, linewidth=0.5, color='k', zorder=30)\n", + "plt.axhline(1, linewidth=0.5, color='k', zorder=30)\n", + "plt.axhline(2, linewidth=0.5, color='k', zorder=30)\n", + "plt.axvline(-1, linewidth=0.5, color='k', zorder=30)\n", + "plt.axvline(0, linewidth=0.5, color='k', zorder=30)\n", + "plt.axvline(1, linewidth=0.5, color='k', zorder=30)\n", + "plt.axvline(2, linewidth=0.5, color='k', zorder=30)\n", + "\n", + "plt.xlim([-1,2])\n", + "plt.ylim([-1,2])\n", + "plt.tight_layout()\n", + "plt.show()" + ] + }, + { + "cell_type": "markdown", + "id": "5a2c0f77", + "metadata": {}, + "source": [ + "**Figure 4 - Nearest-neighbour interpolation of \"grid cell averaged\" data at cell centres.**\n", + "\n", + "Your data may represent a value across a cell edge. For example, in (2D) Arakawa C-grid datasets, velocities are defined across an edge as they represent a \"flux\" across that cell edge. Additionally, these cell edges may not be aligned with the coordinate axes, and rather represent a velocity in the $i$ or $j$ direction.\n", + "\n", + "For structured grids, [Blanke and Raynaud]() proposed in 1997 to perform a 1D linear interpolation of the $i$ velocity in the $i$ direction, and similarly a 1D linear interpolation of the $j$ velocity in the $j$ direction. These velocities must then be rotated into meridional and zonal velocities, which Parcels handles under the hood. In such a case, your velocity field may look like figure 5.\n", + "\n", + "This (uni)linear velocity interpolation is now often referred to as the Analytical interpolation scheme, and is what the [Ariane](https://ariane-code.cnrs.fr) and [TRACMASS](https://www.tracmass.org/index.html) Lagrangian codes also use. In Parcels, the time-stepping version of this interpolation is provided in the `CGrid_Velocity` Interpolator function.\n", + "\n", + "```{note}\n", + "If you have a structured curvilinear grid, and your velocity field is oriented in the $i/j$-directions, then it is almost certain that your velocities are computed from fluxes across the cell edge, and that you will require the `CGRID_Velocity` Interpolator.\n", + "```" + ] + }, + { + "cell_type": "code", + "execution_count": 34, + "id": "a3183be6", + "metadata": {}, + "outputs": [ + { + "data": { + "image/png": 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", + "text/plain": [ + "
" + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], + "source": [ + "# Construct dummy data for velocity field at the cell edges of a single grid cell\n", + "u_data = np.array([[2, 1]])\n", + "v_data = np.array([[0, 1]])\n", + "\n", + "interp_u = interp1d([0,1], u_data.flatten(), kind='linear')\n", + "interp_v = interp1d([0,1], v_data.flatten(), kind='linear')\n", + "\n", + "interp_xx, interp_yy = np.linspace(0,1,51), np.linspace(0,1,51)\n", + "XX,YY = np.meshgrid(interp_xx, interp_yy, indexing='xy')\n", + "\n", + "interp_u_data = interp_u(XX)\n", + "interp_v_data = interp_v(YY)\n", + "interp_speed_data = np.sqrt(interp_u_data**2 + interp_v_data**2)\n", + "\n", + "# Plot the interpolated velocity vectors and speed data\n", + "mm=5\n", + "plt.axhline(0, linewidth=0.5, color='k')\n", + "plt.axvline(0, linewidth=0.5, color='k')\n", + "plt.axhline(1, linewidth=0.5, color='k')\n", + "plt.axvline(1, linewidth=0.5, color='k')\n", + "\n", + "cb = plt.pcolormesh(interp_xx, interp_yy, interp_speed_data, vmin=0.75, vmax=2)\n", + "plt.quiver(interp_xx[::mm], interp_yy[::mm], interp_u_data[::mm,::mm], interp_v_data[::mm,::mm])\n", + "plt.quiver(interp_xx[0], interp_yy[len(interp_yy)//2], interp_u_data[len(interp_u_data)//2, 0], 0, color='r', scale=30)\n", + "plt.quiver(interp_xx[-1], interp_yy[len(interp_yy)//2], interp_u_data[len(interp_u_data)//2, -1], 0, color='r', scale=30)\n", + "\n", + "plt.quiver(interp_xx[len(interp_yy)//2], interp_yy[0], 0, interp_v_data[0, len(interp_v_data)//2], color='b')\n", + "plt.quiver(interp_xx[len(interp_yy)//2], interp_yy[-1], 0, interp_v_data[-1, len(interp_v_data)//2], color='b')\n", + "\n", + "plt.title('C-grid interpolation of velocity data\\nacross cell edges')\n", + "plt.colorbar(cb, ax=plt.gca(), label='Speed [m/s]')\n", + "plt.xlim([-0.2,1.2])\n", + "plt.ylim([-0.2,1.2])\n", + "plt.xlabel('X [km]')\n", + "plt.ylabel('Y [km]')\n", + "plt.show()" + ] + }, + { + "cell_type": "markdown", + "id": "179bed2a", + "metadata": {}, + "source": [ + "**Figure 5 - C-grid 1D interpolation of velocity data defined across a cell edge.**\n", + "\n", + "\n", + "### Vertical coordinates\n", + "\n", + "Lastly, a short note on vertical coordinates. Parcels can handle two styles of vertical coordinates; z-levels which define fixed depth levels in physical space, and sigma-levels which define varying depth levels in physical space as a function of the water column depth. As sigma-levels are effectively \"terrain-following\", the grid cell faces may no longer be orthogonal to the domain surface. Figure 1 visualises these differences, and parcels handles this all under the hood. See the CROCO Tutorial for more details on the sigma-levels implementation.\n" + ] + } + ], + "metadata": { + "kernelspec": { + "display_name": "parcels_copernicus", + "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": "3.12.9" + } + }, + "nbformat": 4, + "nbformat_minor": 5 +} From b1b5dcdc08bac6c863baed8aad95735f1dea1030 Mon Sep 17 00:00:00 2001 From: "pre-commit-ci[bot]" <66853113+pre-commit-ci[bot]@users.noreply.github.com> Date: Fri, 31 Jul 2026 13:53:52 +0000 Subject: [PATCH 2/7] [pre-commit.ci] auto fixes from pre-commit.com hooks for more information, see https://pre-commit.ci --- .../examples/explanation_grids.ipynb | 275 +++++++++--------- 1 file changed, 137 insertions(+), 138 deletions(-) diff --git a/docs/user_guide/examples/explanation_grids.ipynb b/docs/user_guide/examples/explanation_grids.ipynb index 988f4965d..ab08d3a68 100644 --- a/docs/user_guide/examples/explanation_grids.ipynb +++ b/docs/user_guide/examples/explanation_grids.ipynb @@ -2,7 +2,7 @@ "cells": [ { "cell_type": "markdown", - "id": "f6891815", + "id": "0", "metadata": {}, "source": [ "# 📖 Grids\n", @@ -42,37 +42,27 @@ }, { "cell_type": "code", - "execution_count": 31, - "id": "e975aad9", + "execution_count": null, + "id": "1", "metadata": {}, - "outputs": [ - { - "data": { - "image/png": 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", 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" - ] - }, - "metadata": {}, - "output_type": "display_data" - } - ], + "outputs": [], "source": [ - "import numpy as np\n", - "import matplotlib.pyplot as plt\n", - "from scipy.interpolate import interp1d, RegularGridInterpolator\n", - "\n", "# Ignore RuntimeWarnings that arise in plotting\n", "import warnings\n", + "\n", + "import matplotlib.pyplot as plt\n", + "import numpy as np\n", + "from scipy.interpolate import RegularGridInterpolator, interp1d\n", + "\n", "warnings.filterwarnings(\"ignore\", category=RuntimeWarning)\n", "\n", "plt.figure(figsize=(4, 4))\n", - "plt.axvline(x=0, color='black')\n", - "plt.axvline(x=1, color='black')\n", - "plt.axhline(y=0, color='black')\n", - "plt.axhline(y=1, color='black')\n", - "plt.scatter([0,0,1,1], [0,1,0,1], color='blue', s=50, label='Nodes/Vertices')\n", - "plt.scatter([0.5], [0.5], color='red', s=50, label='Centre of grid cell')\n", + "plt.axvline(x=0, color=\"black\")\n", + "plt.axvline(x=1, color=\"black\")\n", + "plt.axhline(y=0, color=\"black\")\n", + "plt.axhline(y=1, color=\"black\")\n", + "plt.scatter([0, 0, 1, 1], [0, 1, 0, 1], color=\"blue\", s=50, label=\"Nodes/Vertices\")\n", + "plt.scatter([0.5], [0.5], color=\"red\", s=50, label=\"Centre of grid cell\")\n", "plt.xlim(-0.25, 1.25)\n", "plt.ylim(-0.25, 1.25)\n", "plt.xticks([])\n", @@ -84,7 +74,7 @@ }, { "cell_type": "markdown", - "id": "aff80f0d", + "id": "2", "metadata": {}, "source": [ "Figure 2 - A simple grid cell. Blue circles denote nodes (or vertices) of the grid cell. The red circle denotes the centre of the cell face.\n", @@ -94,34 +84,23 @@ }, { "cell_type": "code", - "execution_count": 32, - "id": "010096c5", + "execution_count": null, + "id": "3", "metadata": {}, - "outputs": [ - { - "data": { - "image/png": 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", - "text/plain": [ - "
" - ] - }, - "metadata": {}, - "output_type": "display_data" - } - ], + "outputs": [], "source": [ "# Construct dummy data for velocity field at the nodes of a single grid cell\n", - "xcoords, ycoords = np.linspace(0,1,2), np.linspace(0,1,2)\n", + "xcoords, ycoords = np.linspace(0, 1, 2), np.linspace(0, 1, 2)\n", "\n", "u_data = np.array([[0, -0.5], [1, -1]])\n", "v_data = np.array([[0, -2], [0, -2]])\n", "\n", - "interp_u = RegularGridInterpolator((xcoords, ycoords), u_data, method='linear')\n", + "interp_u = RegularGridInterpolator((xcoords, ycoords), u_data, method=\"linear\")\n", "\n", - "interp_v = RegularGridInterpolator((xcoords, ycoords), v_data, method='linear')\n", + "interp_v = RegularGridInterpolator((xcoords, ycoords), v_data, method=\"linear\")\n", "\n", - "interp_xx, interp_yy = np.linspace(0,1,51), np.linspace(0,1,51)\n", - "interp_xx, interp_yy = np.meshgrid(interp_xx, interp_yy, indexing='ij')\n", + "interp_xx, interp_yy = np.linspace(0, 1, 51), np.linspace(0, 1, 51)\n", + "interp_xx, interp_yy = np.meshgrid(interp_xx, interp_yy, indexing=\"ij\")\n", "\n", "eval_points = np.stack([interp_xx.ravel(), interp_yy.ravel()], axis=-1)\n", "\n", @@ -131,21 +110,28 @@ "interp_speed_data = np.sqrt(interp_u_data**2 + interp_v_data**2)\n", "\n", "# Plot the interpolated velocity vectors and speed data\n", - "mm=5\n", - "plt.axhline(0, linewidth=0.5, color='k')\n", - "plt.axvline(0, linewidth=0.5, color='k')\n", - "plt.axhline(1, linewidth=0.5, color='k')\n", - "plt.axvline(1, linewidth=0.5, color='k')\n", - "cb = plt.pcolormesh(interp_xx, interp_yy, interp_speed_data, shading='gouraud', cmap=plt.cm.viridis)\n", - "plt.quiver(interp_xx[::mm, ::mm], interp_yy[::mm, ::mm], interp_u_data[::mm,::mm], interp_v_data[::mm,::mm])\n", - "plt.title('Bi-linear interpolation of velocity data at nodes')\n", - "\n", - "plt.colorbar(cb, ax=plt.gca(), label='Speed [m/s]')\n", - "plt.xlabel('X [km]')\n", - "plt.ylabel('Y [km]')\n", - "\n", - "plt.xlim([-0.2,1.2])\n", - "plt.ylim([-0.2,1.2])\n", + "mm = 5\n", + "plt.axhline(0, linewidth=0.5, color=\"k\")\n", + "plt.axvline(0, linewidth=0.5, color=\"k\")\n", + "plt.axhline(1, linewidth=0.5, color=\"k\")\n", + "plt.axvline(1, linewidth=0.5, color=\"k\")\n", + "cb = plt.pcolormesh(\n", + " interp_xx, interp_yy, interp_speed_data, shading=\"gouraud\", cmap=plt.cm.viridis\n", + ")\n", + "plt.quiver(\n", + " interp_xx[::mm, ::mm],\n", + " interp_yy[::mm, ::mm],\n", + " interp_u_data[::mm, ::mm],\n", + " interp_v_data[::mm, ::mm],\n", + ")\n", + "plt.title(\"Bi-linear interpolation of velocity data at nodes\")\n", + "\n", + "plt.colorbar(cb, ax=plt.gca(), label=\"Speed [m/s]\")\n", + "plt.xlabel(\"X [km]\")\n", + "plt.ylabel(\"Y [km]\")\n", + "\n", + "plt.xlim([-0.2, 1.2])\n", + "plt.ylim([-0.2, 1.2])\n", "\n", "plt.tight_layout()\n", "plt.show()" @@ -153,7 +139,7 @@ }, { "cell_type": "markdown", - "id": "c3fcc5ab", + "id": "4", "metadata": {}, "source": [ "**Figure 3 - Bi-linear interpolation of point-wise data at nodes.**\n", @@ -163,57 +149,50 @@ }, { "cell_type": "code", - "execution_count": 33, - "id": "db926f40", + "execution_count": null, + "id": "5", "metadata": {}, - "outputs": [ - { - "data": { - "image/png": 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", - "text/plain": [ - "
" - ] - }, - "metadata": {}, - "output_type": "display_data" - } - ], + "outputs": [], "source": [ - "xcoords, ycoords = np.linspace(0,1,2), np.linspace(0,1,2)\n", - "xx, yy = np.meshgrid(xcoords, ycoords, indexing='ij')\n", - "data = 18 + np.random.rand(1)*np.array([[-1, 1], [0, 2]])\n", + "xcoords, ycoords = np.linspace(0, 1, 2), np.linspace(0, 1, 2)\n", + "xx, yy = np.meshgrid(xcoords, ycoords, indexing=\"ij\")\n", + "data = 18 + np.random.rand(1) * np.array([[-1, 1], [0, 2]])\n", "\n", - "mm=5\n", + "mm = 5\n", "# Paste the data at different locations to show the effect of nearest-neighbour interpolation\n", - "for i in [1,-1]:\n", + "for i in [1, -1]:\n", " for j in [-1, 1]:\n", - " plt.pcolormesh(xx + i*0.5, yy + j*0.5, data, shading='auto', cmap=plt.cm.viridis)\n", - " plt.scatter(xx+ i*0.5, yy + j*0.5, c='k', zorder=20)\n", - "cb = plt.pcolormesh(xx+0.5, yy + 0.5, 18 + 0.5*data, shading='auto', cmap=plt.cm.viridis, zorder=10)\n", - "\n", - "plt.title('Nearest-neighbour interpolation of\\ntemperature data at cell centres')\n", - "\n", - "plt.colorbar(cb, ax=plt.gca(), label='Temperature [deg C]')\n", - "plt.xlabel('X [km]')\n", - "plt.ylabel('Y [km]')\n", - "plt.axhline(-1, linewidth=0.5, color='k', zorder=30)\n", - "plt.axhline(0, linewidth=0.5, color='k', zorder=30)\n", - "plt.axhline(1, linewidth=0.5, color='k', zorder=30)\n", - "plt.axhline(2, linewidth=0.5, color='k', zorder=30)\n", - "plt.axvline(-1, linewidth=0.5, color='k', zorder=30)\n", - "plt.axvline(0, linewidth=0.5, color='k', zorder=30)\n", - "plt.axvline(1, linewidth=0.5, color='k', zorder=30)\n", - "plt.axvline(2, linewidth=0.5, color='k', zorder=30)\n", - "\n", - "plt.xlim([-1,2])\n", - "plt.ylim([-1,2])\n", + " plt.pcolormesh(\n", + " xx + i * 0.5, yy + j * 0.5, data, shading=\"auto\", cmap=plt.cm.viridis\n", + " )\n", + " plt.scatter(xx + i * 0.5, yy + j * 0.5, c=\"k\", zorder=20)\n", + "cb = plt.pcolormesh(\n", + " xx + 0.5, yy + 0.5, 18 + 0.5 * data, shading=\"auto\", cmap=plt.cm.viridis, zorder=10\n", + ")\n", + "\n", + "plt.title(\"Nearest-neighbour interpolation of\\ntemperature data at cell centres\")\n", + "\n", + "plt.colorbar(cb, ax=plt.gca(), label=\"Temperature [deg C]\")\n", + "plt.xlabel(\"X [km]\")\n", + "plt.ylabel(\"Y [km]\")\n", + "plt.axhline(-1, linewidth=0.5, color=\"k\", zorder=30)\n", + "plt.axhline(0, linewidth=0.5, color=\"k\", zorder=30)\n", + "plt.axhline(1, linewidth=0.5, color=\"k\", zorder=30)\n", + "plt.axhline(2, linewidth=0.5, color=\"k\", zorder=30)\n", + "plt.axvline(-1, linewidth=0.5, color=\"k\", zorder=30)\n", + "plt.axvline(0, linewidth=0.5, color=\"k\", zorder=30)\n", + "plt.axvline(1, linewidth=0.5, color=\"k\", zorder=30)\n", + "plt.axvline(2, linewidth=0.5, color=\"k\", zorder=30)\n", + "\n", + "plt.xlim([-1, 2])\n", + "plt.ylim([-1, 2])\n", "plt.tight_layout()\n", "plt.show()" ] }, { "cell_type": "markdown", - "id": "5a2c0f77", + "id": "6", "metadata": {}, "source": [ "**Figure 4 - Nearest-neighbour interpolation of \"grid cell averaged\" data at cell centres.**\n", @@ -231,63 +210,83 @@ }, { "cell_type": "code", - "execution_count": 34, - "id": "a3183be6", + "execution_count": null, + "id": "7", "metadata": {}, - "outputs": [ - { - "data": { - "image/png": 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", - "text/plain": [ - "
" - ] - }, - "metadata": {}, - "output_type": "display_data" - } - ], + "outputs": [], "source": [ "# Construct dummy data for velocity field at the cell edges of a single grid cell\n", "u_data = np.array([[2, 1]])\n", "v_data = np.array([[0, 1]])\n", "\n", - "interp_u = interp1d([0,1], u_data.flatten(), kind='linear')\n", - "interp_v = interp1d([0,1], v_data.flatten(), kind='linear')\n", + "interp_u = interp1d([0, 1], u_data.flatten(), kind=\"linear\")\n", + "interp_v = interp1d([0, 1], v_data.flatten(), kind=\"linear\")\n", "\n", - "interp_xx, interp_yy = np.linspace(0,1,51), np.linspace(0,1,51)\n", - "XX,YY = np.meshgrid(interp_xx, interp_yy, indexing='xy')\n", + "interp_xx, interp_yy = np.linspace(0, 1, 51), np.linspace(0, 1, 51)\n", + "XX, YY = np.meshgrid(interp_xx, interp_yy, indexing=\"xy\")\n", "\n", "interp_u_data = interp_u(XX)\n", "interp_v_data = interp_v(YY)\n", "interp_speed_data = np.sqrt(interp_u_data**2 + interp_v_data**2)\n", "\n", "# Plot the interpolated velocity vectors and speed data\n", - "mm=5\n", - "plt.axhline(0, linewidth=0.5, color='k')\n", - "plt.axvline(0, linewidth=0.5, color='k')\n", - "plt.axhline(1, linewidth=0.5, color='k')\n", - "plt.axvline(1, linewidth=0.5, color='k')\n", + "mm = 5\n", + "plt.axhline(0, linewidth=0.5, color=\"k\")\n", + "plt.axvline(0, linewidth=0.5, color=\"k\")\n", + "plt.axhline(1, linewidth=0.5, color=\"k\")\n", + "plt.axvline(1, linewidth=0.5, color=\"k\")\n", "\n", "cb = plt.pcolormesh(interp_xx, interp_yy, interp_speed_data, vmin=0.75, vmax=2)\n", - "plt.quiver(interp_xx[::mm], interp_yy[::mm], interp_u_data[::mm,::mm], interp_v_data[::mm,::mm])\n", - "plt.quiver(interp_xx[0], interp_yy[len(interp_yy)//2], interp_u_data[len(interp_u_data)//2, 0], 0, color='r', scale=30)\n", - "plt.quiver(interp_xx[-1], interp_yy[len(interp_yy)//2], interp_u_data[len(interp_u_data)//2, -1], 0, color='r', scale=30)\n", - "\n", - "plt.quiver(interp_xx[len(interp_yy)//2], interp_yy[0], 0, interp_v_data[0, len(interp_v_data)//2], color='b')\n", - "plt.quiver(interp_xx[len(interp_yy)//2], interp_yy[-1], 0, interp_v_data[-1, len(interp_v_data)//2], color='b')\n", - "\n", - "plt.title('C-grid interpolation of velocity data\\nacross cell edges')\n", - "plt.colorbar(cb, ax=plt.gca(), label='Speed [m/s]')\n", - "plt.xlim([-0.2,1.2])\n", - "plt.ylim([-0.2,1.2])\n", - "plt.xlabel('X [km]')\n", - "plt.ylabel('Y [km]')\n", + "plt.quiver(\n", + " interp_xx[::mm],\n", + " interp_yy[::mm],\n", + " interp_u_data[::mm, ::mm],\n", + " interp_v_data[::mm, ::mm],\n", + ")\n", + "plt.quiver(\n", + " interp_xx[0],\n", + " interp_yy[len(interp_yy) // 2],\n", + " interp_u_data[len(interp_u_data) // 2, 0],\n", + " 0,\n", + " color=\"r\",\n", + " scale=30,\n", + ")\n", + "plt.quiver(\n", + " interp_xx[-1],\n", + " interp_yy[len(interp_yy) // 2],\n", + " interp_u_data[len(interp_u_data) // 2, -1],\n", + " 0,\n", + " color=\"r\",\n", + " scale=30,\n", + ")\n", + "\n", + "plt.quiver(\n", + " interp_xx[len(interp_yy) // 2],\n", + " interp_yy[0],\n", + " 0,\n", + " interp_v_data[0, len(interp_v_data) // 2],\n", + " color=\"b\",\n", + ")\n", + "plt.quiver(\n", + " interp_xx[len(interp_yy) // 2],\n", + " interp_yy[-1],\n", + " 0,\n", + " interp_v_data[-1, len(interp_v_data) // 2],\n", + " color=\"b\",\n", + ")\n", + "\n", + "plt.title(\"C-grid interpolation of velocity data\\nacross cell edges\")\n", + "plt.colorbar(cb, ax=plt.gca(), label=\"Speed [m/s]\")\n", + "plt.xlim([-0.2, 1.2])\n", + "plt.ylim([-0.2, 1.2])\n", + "plt.xlabel(\"X [km]\")\n", + "plt.ylabel(\"Y [km]\")\n", "plt.show()" ] }, { "cell_type": "markdown", - "id": "179bed2a", + "id": "8", "metadata": {}, "source": [ "**Figure 5 - C-grid 1D interpolation of velocity data defined across a cell edge.**\n", From ccbc2a0e43384996b79e986aad2cc70000f01dc5 Mon Sep 17 00:00:00 2001 From: Michael Denes Date: Fri, 31 Jul 2026 15:59:45 +0200 Subject: [PATCH 3/7] Add note on differentiability --- docs/user_guide/examples/explanation_grids.ipynb | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/docs/user_guide/examples/explanation_grids.ipynb b/docs/user_guide/examples/explanation_grids.ipynb index ab08d3a68..cb9e0a6d4 100644 --- a/docs/user_guide/examples/explanation_grids.ipynb +++ b/docs/user_guide/examples/explanation_grids.ipynb @@ -79,7 +79,7 @@ "source": [ "Figure 2 - A simple grid cell. Blue circles denote nodes (or vertices) of the grid cell. The red circle denotes the centre of the cell face.\n", "\n", - "You will need to make several assumptions about your data. Your data may represent a point-wise \"sample\" of some field. For example, velocity data may be defined at the nodes of your grid, and a typical assumption to make is that you can bi-linearly interpolate these data points to your particle positions. In such an example, your velocity field may look like Figure 3. Bi-linear interpolation ensures continuity of the velocity at the cell boundaries, however, it does not ensure a smooth transition.\n" + "You will need to make several assumptions about your data. Your data may represent a point-wise \"sample\" of some field. For example, velocity data may be defined at the nodes of your grid, and a typical assumption to make is that you can bi-linearly interpolate these data points to your particle positions. In such an example, your velocity field may look like Figure 3. Bi-linear interpolation ensures continuity of the velocity at the cell boundaries, however, it does not ensure a smooth (differentiable) transition.\n" ] }, { From 5bc32b6aa8930b5d58894207363b5252fb2cf0b9 Mon Sep 17 00:00:00 2001 From: Erik van Sebille Date: Fri, 31 Jul 2026 16:50:09 +0200 Subject: [PATCH 4/7] Adding cell tags to hide input --- .../examples/explanation_grids.ipynb | 24 +++++++++++++++---- 1 file changed, 20 insertions(+), 4 deletions(-) diff --git a/docs/user_guide/examples/explanation_grids.ipynb b/docs/user_guide/examples/explanation_grids.ipynb index cb9e0a6d4..4723a705f 100644 --- a/docs/user_guide/examples/explanation_grids.ipynb +++ b/docs/user_guide/examples/explanation_grids.ipynb @@ -44,7 +44,11 @@ "cell_type": "code", "execution_count": null, "id": "1", - "metadata": {}, + "metadata": { + "tags": [ + "hide-input" + ] + }, "outputs": [], "source": [ "# Ignore RuntimeWarnings that arise in plotting\n", @@ -86,7 +90,11 @@ "cell_type": "code", "execution_count": null, "id": "3", - "metadata": {}, + "metadata": { + "tags": [ + "hide-input" + ] + }, "outputs": [], "source": [ "# Construct dummy data for velocity field at the nodes of a single grid cell\n", @@ -151,7 +159,11 @@ "cell_type": "code", "execution_count": null, "id": "5", - "metadata": {}, + "metadata": { + "tags": [ + "hide-input" + ] + }, "outputs": [], "source": [ "xcoords, ycoords = np.linspace(0, 1, 2), np.linspace(0, 1, 2)\n", @@ -212,7 +224,11 @@ "cell_type": "code", "execution_count": null, "id": "7", - "metadata": {}, + "metadata": { + "tags": [ + "hide-input" + ] + }, "outputs": [], "source": [ "# Construct dummy data for velocity field at the cell edges of a single grid cell\n", From 0b1c432b77eb0e2d413c8ba5d11b47559b98585d Mon Sep 17 00:00:00 2001 From: Erik van Sebille Date: Fri, 31 Jul 2026 16:50:31 +0200 Subject: [PATCH 5/7] Update index and remove old grids file --- docs/user_guide/examples/explanation_grids.md | 10 ---------- docs/user_guide/index.md | 2 +- 2 files changed, 1 insertion(+), 11 deletions(-) delete mode 100644 docs/user_guide/examples/explanation_grids.md diff --git a/docs/user_guide/examples/explanation_grids.md b/docs/user_guide/examples/explanation_grids.md deleted file mode 100644 index 61484bdbf..000000000 --- a/docs/user_guide/examples/explanation_grids.md +++ /dev/null @@ -1,10 +0,0 @@ -# 📖 Grids - -Parcels `Field` objects exist on a (structured) `parcels.XGrid` or (unstructured) `parcels.Uxgrid`. Here we describe these grids on a conceptual level. - -```{note} -The contents for this page are still under development in v4. -TODO -- link to xgcm.Grid documentation -- adapt from v3 grid indexing tutorial (../examples_v3/documentation_indexing.ipynb) -``` diff --git a/docs/user_guide/index.md b/docs/user_guide/index.md index ffab9d72e..e92ea1888 100644 --- a/docs/user_guide/index.md +++ b/docs/user_guide/index.md @@ -36,7 +36,7 @@ getting_started/explanation_concepts.md :caption: Set up FieldSets :name: setup-fieldsets :titlesonly: -examples/explanation_grids.md +examples/explanation_grids.ipynb examples/tutorial_nemo.ipynb examples/tutorial_croco_3D.ipynb examples/tutorial_mitgcm.ipynb From 8f1c15eb28bbb602697f5f70bb771928fbf90177 Mon Sep 17 00:00:00 2001 From: Erik van Sebille Date: Fri, 31 Jul 2026 17:00:39 +0200 Subject: [PATCH 6/7] Updating list of convert functions --- docs/user_guide/examples/explanation_grids.ipynb | 6 ++++-- docs/user_guide/index.md | 16 ++++++++++++---- 2 files changed, 16 insertions(+), 6 deletions(-) diff --git a/docs/user_guide/examples/explanation_grids.ipynb b/docs/user_guide/examples/explanation_grids.ipynb index 4723a705f..33de39409 100644 --- a/docs/user_guide/examples/explanation_grids.ipynb +++ b/docs/user_guide/examples/explanation_grids.ipynb @@ -7,12 +7,14 @@ "source": [ "# 📖 Grids\n", "\n", - "In Lagrangian ocean analysis, virtual particle tracking requires the accurate interpolation of physical properties (flow velocities and tracer properties) to particle locations. The underlying data that forces the particle movement will likely be defined on a discretised grid. Parcels can natively handle two styles of grids; structured and unstructured, where Parcels `Field` objects exist on a (structured) `parcels.XGrid` and conform to [SGRID](https://sgrid.github.io/sgrid/) conventions, or on a (unstructured) `parcels.Uxgrid` and conform to [UGRID](https://ugrid-conventions.github.io/ugrid-conventions/) conventions. Here we describe these grids on a conceptual level.\n", + "In Lagrangian ocean analysis, virtual particle tracking requires the accurate interpolation of physical properties (flow velocities and tracer properties) to particle locations. The underlying data that forces the particle movement will likely be defined on a discretised grid. \n", + "\n", + "Parcels can natively handle two styles of grids; structured and unstructured, where Parcels `Field` objects exist on a (structured) `parcels.XGrid` and conform to [SGRID](https://sgrid.github.io/sgrid/) conventions, or on a (unstructured) `parcels.Uxgrid` and conform to [UGRID](https://ugrid-conventions.github.io/ugrid-conventions/) conventions. Here we describe these grids on a conceptual level.\n", "\n", "Under the hood, every `Field` in a `FieldSet` has a `grid` attribute. This `grid` stores the spatial and temporal information of the Field coordinates. The number of Grids in a FieldSet is thus always smaller or equal to the number of Field objects; and this is what the \"grid number\" column in `FieldSet.describe()` refers to.\n", "\n", "```{note}\n", - "Parcels comes ready with a range of `convert` functions which will convert your `xarray` dataset into a SGRID or UGRID compliant dataset. We currently provide support for NEMO, MITgcm, CROCO, FESOM, and SCHISM models. For other models, you can create your own `convert` function, or reach out on our discussion board for help.\n", + "Parcels comes ready with a range of `convert` functions which will convert your `xarray` dataset into a SGRID or UGRID compliant dataset. See [this list](../index.md#converting-model-data-to-fieldsets) for all the models we have `convert` functions for. If your model is not on that list, you can create your own `convert` function, or reach out on our discussion board for help.\n", "```\n", "\n", "## Structured grids\n", diff --git a/docs/user_guide/index.md b/docs/user_guide/index.md index e92ea1888..a9533349a 100644 --- a/docs/user_guide/index.md +++ b/docs/user_guide/index.md @@ -30,18 +30,26 @@ getting_started/tutorial_output.ipynb getting_started/explanation_concepts.md ``` -## Set up FieldSets +## Converting model data to FieldSets ```{toctree} -:caption: Set up FieldSets -:name: setup-fieldsets +:caption: Converting model data to FieldSets +:name: converting-model-data :titlesonly: -examples/explanation_grids.ipynb examples/tutorial_nemo.ipynb examples/tutorial_croco_3D.ipynb examples/tutorial_mitgcm.ipynb examples/tutorial_fesom.ipynb examples/tutorial_schism.ipynb +``` + +## Work with FieldSets + +```{toctree} +:caption: Work with FieldSets +:name: work-with-fieldsets +:titlesonly: +examples/explanation_grids.ipynb examples/tutorial_velocityconversion.ipynb examples/tutorial_nestedgrids.ipynb examples/tutorial_manipulating_field_data.ipynb From e73cd677b0871244ccb806163d6156629c27a33e Mon Sep 17 00:00:00 2001 From: Erik van Sebille Date: Fri, 31 Jul 2026 17:08:05 +0200 Subject: [PATCH 7/7] Use caption in Figure - and small text changes --- .../examples/explanation_grids.ipynb | 19 ++++++++++++------- 1 file changed, 12 insertions(+), 7 deletions(-) diff --git a/docs/user_guide/examples/explanation_grids.ipynb b/docs/user_guide/examples/explanation_grids.ipynb index 33de39409..3c031ada1 100644 --- a/docs/user_guide/examples/explanation_grids.ipynb +++ b/docs/user_guide/examples/explanation_grids.ipynb @@ -11,23 +11,28 @@ "\n", "Parcels can natively handle two styles of grids; structured and unstructured, where Parcels `Field` objects exist on a (structured) `parcels.XGrid` and conform to [SGRID](https://sgrid.github.io/sgrid/) conventions, or on a (unstructured) `parcels.Uxgrid` and conform to [UGRID](https://ugrid-conventions.github.io/ugrid-conventions/) conventions. Here we describe these grids on a conceptual level.\n", "\n", - "Under the hood, every `Field` in a `FieldSet` has a `grid` attribute. This `grid` stores the spatial and temporal information of the Field coordinates. The number of Grids in a FieldSet is thus always smaller or equal to the number of Field objects; and this is what the \"grid number\" column in `FieldSet.describe()` refers to.\n", - "\n", "```{note}\n", "Parcels comes ready with a range of `convert` functions which will convert your `xarray` dataset into a SGRID or UGRID compliant dataset. See [this list](../index.md#converting-model-data-to-fieldsets) for all the models we have `convert` functions for. If your model is not on that list, you can create your own `convert` function, or reach out on our discussion board for help.\n", "```\n", "\n", + "Under the hood, every `Field` in a `FieldSet` has a `grid` attribute. This `grid` stores the spatial and temporal information of the Field coordinates. The number of Grids in a FieldSet is thus always smaller or equal to the number of Field objects; and this is what the \"grid number\" column in `FieldSet.describe()` refers to.\n", + "\n", "## Structured grids\n", "\n", - "A structured grid is composed of quadrilateral elements, that are indexed using logical 2D or 3D indices, like $(i,j,k)$. In `xarray` terminology, these indices correspond to `dimensions`. For example, in NEMO datasets, $(x,y)$ typically define these dimensions horizontally, where the physical coordinates are $(glamf, gphif)$. A major benefit of structured grids is that grid cell neighbours are easily found by decrementing or incrementing these dimensions. However, in Parcels we either perform a binary search in the case of 1-dimensional coordinates, or use a hash table in the case of 2/3-dimensional coordinates.\n", + "A structured grid is composed of quadrilateral elements, that are indexed using 3D indices, like $(i,j,k)$. In `xarray` terminology, these indices correspond to [`dimensions`](https://docs.xarray.dev/en/latest/user-guide/terminology.html#term-Dimension). For example, in NEMO datasets, $(x,y)$ typically define these dimensions horizontally, where the physical coordinates are $(glamf, gphif)$. \n", + "\n", + "A major benefit of structured grids is that grid cell neighbours are easily found by decrementing or incrementing these dimensions. However, in Parcels we either perform a binary search in the case of 1-dimensional coordinates, or use a [hash table](../../development/unstructured_grid_search.md) in the case of 2/3-dimensional coordinates.\n", "\n", - "There are two styles of structured grids, rectilinear and curvilinear, as shown in Figure 1.\n", + "There are two styles of structured grids, rectilinear and curvilinear, as shown in Figure 1below.\n", "\n", - "1. Rectilinear grids are typically aligned with the coordinate axes (that is, there is a one-to-one mapping between the dimensions and the physical coordinate space), making them simple and computationally efficient to query. However, they're limited by the fact that it is difficult to resolve complex coastlines without high resolution, and they suffer from singularities in the flow fields at the poles where the grid lines converge.\n", + "1. Rectilinear grids are typically aligned with the coordinate axes (that is, there is a one-to-one mapping between the dimensions and the physical coordinate space), making them simple and computationally efficient to query. However, it is difficult to resolve complex coastlines without high resolution, and they suffer from singularities in the flow fields at the poles where the grid lines converge.\n", "\n", - "2. Curvilinear grids allow for curved grid lines, which allow for better representation of coastlines. They often move the poles onto land to avoid singularities occuring in the ocean. However, they become trickier to work with, as the spatial positions of their vertices (their [\"coordinates\" in xarray-parlance](https://docs.xarray.dev/en/latest/user-guide/terminology.html#term-Coordinate)) are stored in separate 2D arrays, and moving to an eastward neighbour is not as simple as incrementing the $i$-th dimension by 1.\n", + "2. Curvilinear grids allow for curved grid lines, which allow for better representation of coastlines. Poles are often on land to avoid singularities in the ocean. As the spatial positions of their vertices (their [\"coordinates\" in xarray-parlance](https://docs.xarray.dev/en/latest/user-guide/terminology.html#term-Coordinate)) are stored in separate 2D arrays, moving to an eastward neighbour is not as simple as incrementing the $i$-th dimension by 1.\n", "\n", - "![**Figure 1 - Grid discretisations handled by Parcels. In the horizontal plane; (a) rectilinear, (b) curvilinear. In the vertical plane; (c) z-levels, (d) sigma-levels. Adapted from [Parcels v2.0 paper](https://doi.org/10.5194/gmd-12-3571-2019)**](../../_static/grid_discretisation.png)\n", + "
\n", + " \"Grid\n", + "
Figure 1 - Grid discretisations handled by Parcels. In the horizontal plane; (a) rectilinear, (b) curvilinear. In the vertical plane; (c) z-levels, (d) sigma-levels. Adapted from the Parcels v2.0 paper
\n", + "
\n", "\n", "## Unstructured grids\n", "\n",