{ "cells": [ { "cell_type": "markdown", "metadata": {}, "source": [ "This is a notebook to explore how to plot with time dependent depths." ] }, { "cell_type": "code", "execution_count": 1, "metadata": { "collapsed": true }, "outputs": [], "source": [ "import netCDF4 as nc\n", "import numpy as np\n", "import matplotlib.pyplot as plt\n", "\n", "from salishsea_tools import viz_tools, grid_tools\n", "\n", "%matplotlib inline" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "# Loading data" ] }, { "cell_type": "code", "execution_count": 2, "metadata": { "collapsed": true }, "outputs": [], "source": [ "mesh_mask = nc.Dataset('/data/nsoontie/MEOPAR/NEMO-forcing/grid/mesh_mask_SalishSea2.nc')\n", "grid = nc.Dataset('/data/nsoontie/MEOPAR/NEMO-forcing/grid/bathy_meter_SalishSea2.nc')\n", "\n", "bathy = grid.variables['Bathymetry'][:]\n", "# Sample file for testing calculations\n", "fT = nc.Dataset('/results/SalishSea/nowcast/01apr15/SalishSea_1h_20150401_20150401_grid_T.nc')" ] }, { "cell_type": "code", "execution_count": 3, "metadata": { "collapsed": true }, "outputs": [], "source": [ "tmask = mesh_mask.variables['tmask'][:]\n", "e3t_0 = mesh_mask.variables['e3t'][:]\n", "gdept_0 = mesh_mask.variables['gdept'][:]\n", "gdepw_0 = mesh_mask.variables['gdepw'][:]" ] }, { "cell_type": "code", "execution_count": 4, "metadata": { "collapsed": false }, "outputs": [], "source": [ "ssh = fT.variables['sossheig'][:]\n", "sal = fT.variables['vosaline'][:]" ] }, { "cell_type": "code", "execution_count": 5, "metadata": { "collapsed": false }, "outputs": [], "source": [ "input_vars = {'e3t_0': e3t_0,\n", " 'gdept_0': gdept_0,\n", " 'gdepw_0': gdepw_0}" ] }, { "cell_type": "code", "execution_count": 6, "metadata": { "collapsed": false }, "outputs": [], "source": [ "grids = grid_tools.calculate_time_dependent_grid(e3t_0[0,...], tmask[0,...], ssh, input_vars\n", " )" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "# Plotting\n", "Sample position" ] }, { "cell_type": "code", "execution_count": 8, "metadata": { "collapsed": true }, "outputs": [], "source": [ "sal_m = np.ma.array(sal, mask = np.ones(sal.shape) - tmask)" ] }, { "cell_type": "code", "execution_count": 9, "metadata": { "collapsed": false }, "outputs": [ { "data": { "text/plain": [ "[]" ] }, "execution_count": 9, "metadata": {}, "output_type": "execute_result" }, { "data": { "image/png": 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r9UUTYCyJK4HvxRKa6r+qeWdVmNGw8jC3ifb9fskObkmbePy4e0Lo9l4At0uS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\nmP4E0jlBGlSAF2OCH7o9WohyVvt5vvDLncMK9r8DFwKriHz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"text/plain": [ "" ] }, "metadata": {}, "output_type": "display_data" } ], "source": [ "j=410\n", "i=310\n", "plt.pcolormesh(sal_m[0,0,:,:])\n", "cbar=plt.colorbar()\n", "cbar.set_label(\"Salinity\")\n", "plt.plot(i,j,'*',color='gray',ms=10)" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "## 1. Treating depth as a pressure\n", "First, experiment plotting when depth is treated as a pressure. That is, the surface (first w point) always has depth 0. This means, the bottom depth changes with the sea surface height, just has the bottom pressure would.\n", "\n", "Plotting with Height instead of depth. Height increases from bottom to top, wheras depth decreases from bottom to top. So Height = -depth" ] }, { "cell_type": "code", "execution_count": 10, "metadata": { "collapsed": false }, "outputs": [ { "data": { "image/png": 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o2Y8y/JjhbH/49l43x+Qw+XuTmXXnLGo71nLYjYex+9m7e90k17z42xdZ8vYS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\nn8XkyZM9RtS4pUuXYvHixb7DqCrNDQYik0wUUSEVb9X2KSJOi6Oox2K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"text/plain": [ "" ] }, "metadata": {}, "output_type": "display_data" } ], "source": [ "time,_ = np.meshgrid(np.arange(sal.shape[0]),gdept_0[0,:,j,i])\n", "fig,axs = plt.subplots(1,2,figsize=(15,5))\n", "smin=0\n", "smax=32\n", "levels= np.arange(smin,smax+2,2)\n", "#contourf\n", "ax=axs[0]\n", "mesh =ax.contourf(time.T,-grids['gdept_t'][:,:,j,i],\n", " sal_m[:,:,j,i], levels)\n", "ax.set_title('Contourf')\n", "cbar=plt.colorbar(mesh, ax=ax)\n", "cbar.set_label('Salinity [psu]')\n", "ax=axs[1]\n", "mesh =ax.pcolormesh(time.T,-grids['gdept_t'][:,:,j,i],\n", " sal_m[:,:,j,i],\n", " edgecolors='k', vmin=smin, vmax=smax)\n", "ax.set_title('Pcolormesh')\n", "cbar=plt.colorbar(mesh, ax=ax)\n", "cbar.set_label('Salinity [psu]')\n", "for ax in axs:\n", " ax.set_ylim([-10,1.5])\n", " ax.set_xlim([0,23])\n", " ax.set_ylabel('Height [m]')\n", " ax.set_xlabel('time')\n", " ax.plot([0,24],[-bathy[j,i],-bathy[j,i]], '--', color='gray', lw=3, label='bottom bathymetry')\n", " ax.plot(ssh[:,j,i],'-.',color='purple',label='ssh',lw=3)\n", " ax.legend(loc=4)" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "Seems to make sense. Lower pressure when ssh is negative, higher when ssh is positive.\n", "\n", "## 2. Depth with ssh removed\n", "\n", "Next, think of depth measured relative to ssh = 0. Just subtract sea surface height from depth variable and multiply the result by -1 to get height." ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "### Using gdept" ] }, { "cell_type": "code", "execution_count": 11, "metadata": { "collapsed": false }, "outputs": [ { "data": { "image/png": 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9iFwGvM6OYZI/ycW5Zt42k83fbWavQ/bKxeF9bdqN03jzmjcBePLEJ/npjJ+y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\nyB2r3X/nP1ZqmbC2Vez/SzX7VOo1Qfe5km35rTuqfQq6jM35UZU5Ml9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"text/plain": [ "" ] }, "metadata": {}, "output_type": "display_data" } ], "source": [ "time,_ = np.meshgrid(np.arange(sal.shape[0]),gdept_0[0,:,j,i])\n", "fig,axs = plt.subplots(1,2,figsize=(15,5))\n", "smin=0\n", "smax=32\n", "levels= np.arange(smin,smax+2,2)\n", "#contourf\n", "ax=axs[0]\n", "mesh =ax.contourf(time.T,-grids['gdept_t'][:,:,j,i]+ np.expand_dims(ssh[:,j,i],axis=1),\n", " sal_m[:,:,j,i], levels)\n", "ax.set_title('Contourf')\n", "cbar=plt.colorbar(mesh, ax=ax)\n", "cbar.set_label('Salinity [psu]')\n", "ax=axs[1]\n", "mesh =ax.pcolormesh(time.T,-grids['gdept_t'][:,:,j,i] +np.expand_dims(ssh[:,j,i],axis=1),\n", " sal_m[:,:,j,i], edgecolors='k', vmin=smin, vmax=smax)\n", "ax.set_title('Pcolormesh')\n", "cbar=plt.colorbar(mesh, ax=ax)\n", "cbar.set_label('Salinity [psu]')\n", "for ax in axs:\n", " ax.set_ylim([-10,1.5])\n", " ax.set_xlim([0,23])\n", " ax.set_ylabel('Height [m]')\n", " ax.set_xlabel('time')\n", " ax.plot([0,24],[-bathy[j,i],-bathy[j,i]], '--', color='gray', lw=3,label='bottom bathymetry')\n", " ax.plot(ssh[:,j,i],'-.',color='purple',label='ssh',lw=3)\n", " ax.legend(loc=4)" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "Interesting that the colors extend below the bottom bathymetry with pcolormesh but not with contourf. I think it is because of how pcolormesh decides to color each box. It colors each cell with the data value at the bottom left corner the coordinate arrays. This explains why we don't align with the surface and bottom. \n", "\n", "Contourf doens't fill the bottom row because the level below is masked." ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "### Using gdepw" ] }, { "cell_type": "code", "execution_count": 12, "metadata": { "collapsed": false }, "outputs": [ { "data": { "image/png": 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3Yh0c7+IrvAvakr26Utss7F2sqKXkGWXUiaOYP2F+5qUuQl/c/wX39b6P+yfl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\nWWeVja308ajisY2IfAnAh6q6CoDkb0SBZLHYSKqIy+K+BZgjg3I5R/a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"text/plain": [ "" ] }, "metadata": {}, "output_type": "display_data" } ], "source": [ "\n", "time,_ = np.meshgrid(np.arange(sal.shape[0]),gdept_0[0,:,j,i])\n", "fig,axs = plt.subplots(1,2,figsize=(15,5))\n", "smin=0\n", "smax=32\n", "levels= np.arange(smin,smax+2,2)\n", "#contourf\n", "ax=axs[0]\n", "mesh =ax.contourf(time.T,-grids['gdepw_t'][:,:,j,i]+ np.expand_dims(ssh[:,j,i],axis=1),\n", " sal_m[:,:,j,i], levels)\n", "ax.set_title('Contourf')\n", "cbar=plt.colorbar(mesh, ax=ax)\n", "cbar.set_label('Salinity [psu]')\n", "ax=axs[1]\n", "mesh =ax.pcolormesh(time.T,-grids['gdepw_t'][:,:,j,i] +np.expand_dims(ssh[:,j,i],axis=1),\n", " sal_m[:,:,j,i], edgecolors='k', vmin=smin, vmax=smax)\n", "ax.set_title('Pcolormesh')\n", "cbar=plt.colorbar(mesh, ax=ax)\n", "cbar.set_label('Salinity [psu]')\n", "for ax in axs:\n", " ax.set_ylim([-10,1.5])\n", " ax.set_xlim([0,23])\n", " ax.set_ylabel('Height [m]')\n", " ax.set_xlabel('time')\n", " ax.plot([0,24],[-bathy[j,i],-bathy[j,i]], '--', color='gray', lw=3,label='bottom bathymetry')\n", " ax.plot(ssh[:,j,i],'-.',color='purple',label='ssh',lw=3)\n", " ax.legend(loc=4)" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "Plotting with pcolormesh and gdepw gives alignment with the sea surface height and bottom. The centre of the grid cell represents the T-point and the edges are the w-points. \n", "\n", "Again, contourf doesn't fill the bottom cells because the next level is masked. In the thalweg plots, we handle this by filling the next row with the value above." ] }, { "cell_type": "code", "execution_count": null, "metadata": { "collapsed": true }, "outputs": [], "source": [] } ], "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": "3.5.2" } }, "nbformat": 4, "nbformat_minor": 0 }