{ "cells": [ { "cell_type": "markdown", "metadata": { "toc": true }, "source": [ "

Table of Contents

\n", "
" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "Crashing on first time step on the western boundary at 2 465 14 in fortran." ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "Going to try smoothing the restart file." ] }, { "cell_type": "code", "execution_count": 1, "metadata": {}, "outputs": [], "source": [ "import matplotlib.pyplot as plt\n", "import numpy as np\n", "import xarray as xr\n", "\n", "%matplotlib inline" ] }, { "cell_type": "code", "execution_count": 2, "metadata": {}, "outputs": [ { "data": { "text/html": [ "
\n", "\n", "\n", "Show/Hide data repr\n", "\n", "\n", "\n", "\n", "\n", "Show/Hide attributes\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "
xarray.Dataset
" ], "text/plain": [ "\n", "Dimensions: (t: 1, x: 398, y: 898, z: 40)\n", "Dimensions without coordinates: t, x, y, z\n", "Data variables:\n", " nav_lon (y, x) float32 ...\n", " nav_lat (y, x) float32 ...\n", " nav_lev (z) float32 ...\n", " time_counter (t) float64 ...\n", " kt float64 ...\n", " ndastp float64 ...\n", " adatrj float64 ...\n", " ssh_ibb (t, y, x) float64 ...\n", " rnf_b (t, y, x) float64 ...\n", " rnf_hc_b (t, y, x) float64 ...\n", " rnf_sc_b (t, y, x) float64 ...\n", " utau_b (t, y, x) float64 ...\n", " vtau_b (t, y, x) float64 ...\n", " qns_b (t, y, x) float64 ...\n", " emp_b (t, y, x) float64 ...\n", " sfx_b (t, y, x) float64 ...\n", " en (t, z, y, x) float64 ...\n", " avt (t, z, y, x) float64 ...\n", " avm (t, z, y, x) float64 ...\n", " avmu (t, z, y, x) float64 ...\n", " avmv (t, z, y, x) float64 ...\n", " mxln (t, z, y, x) float64 ...\n", " ub2_b (t, y, x) float64 ...\n", " vb2_b (t, y, x) float64 ...\n", " sbc_hc_b (t, y, x) float64 ...\n", " sbc_sc_b (t, y, x) float64 ...\n", " qsr_hc_b (t, z, y, x) float64 ...\n", " fraqsr_1lev (t, y, x) float64 ...\n", " fse3t_b (t, z, y, x) float64 ...\n", " fse3t_n (t, z, y, x) float64 ...\n", " rdt float64 ...\n", " rdttra1 float64 ...\n", " ub (t, z, y, x) float64 ...\n", " vb (t, z, y, x) float64 ...\n", " tb (t, z, y, x) float64 ...\n", " sb (t, z, y, x) float64 ...\n", " rotb (t, z, y, x) float64 ...\n", " hdivb (t, z, y, x) float64 ...\n", " sshb (t, y, x) float64 ...\n", " un (t, z, y, x) float64 ...\n", " vn (t, z, y, x) float64 ...\n", " tn (t, z, y, x) float64 ...\n", " sn (t, z, y, x) float64 ...\n", " rotn (t, z, y, x) float64 ...\n", " hdivn (t, z, y, x) float64 ...\n", " sshn (t, y, x) float64 ...\n", " rhop (t, z, y, x) float64 ...\n", "Attributes:\n", " file_name: SalishSea_04914000_restart.nc\n", " TimeStamp: 13/11/2020 10:56:10 -0800" ] }, "execution_count": 2, "metadata": {}, "output_type": "execute_result" } ], "source": [ "restart_file = xr.open_dataset('/results/SalishSea/nowcast-agrif.201702/13nov20/SalishSea_04914000_restart.nc')\n", "restart_file" ] }, { "cell_type": "code", "execution_count": 7, "metadata": {}, "outputs": [], "source": [ "prob = 465-1\n", "pz = 14-1" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "Look at velocity" ] }, { "cell_type": "code", "execution_count": 8, "metadata": {}, "outputs": [ { "data": { "image/png": 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\n", "text/plain": [ "
" ] }, "metadata": { "needs_background": "light" }, "output_type": "display_data" } ], "source": [ "ib, ie = 385, 467\n", "uveln19 = restart_file.un[0, pz]\n", "uvelb19 = restart_file.ub[0, pz]\n", "uvelb19[ib:ie, 1].plot(label=\"Before 1\", linewidth=5)\n", "uveln19[ib:ie, 1].plot(label=\"Next 1\")\n", "uvelb19[ib:ie, 3].plot(label=\"Before 3\", linewidth=5)\n", "uveln19[ib:ie, 3].plot(label=\"Next 3\")\n", "plt.plot([prob-ib, prob-ib], [-0.5, 2], color='k');\n", "plt.legend();" ] }, { "cell_type": "code", "execution_count": 9, "metadata": {}, "outputs": [ { "data": { "image/png": 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\n", "text/plain": [ "
" ] }, "metadata": { "needs_background": "light" }, "output_type": "display_data" } ], "source": [ "ib, ie = 385, 467\n", "vveln19 = restart_file.vn[0, pz]\n", "vvelb19 = restart_file.vb[0, pz]\n", "vvelb19[ib:ie, 1].plot(label=\"Before 1\", linewidth=5)\n", "vveln19[ib:ie, 1].plot(label=\"Next 1\")\n", "vvelb19[ib:ie, 3].plot(label=\"Before 3\", linewidth=5)\n", "vveln19[ib:ie, 3].plot(label=\"Next 3\")\n", "plt.plot([prob-ib, prob-ib], [-0.5, 2], color='k');\n", "plt.legend();" ] }, { "cell_type": "code", "execution_count": 10, "metadata": {}, "outputs": [], "source": [ "restart_file.un[0, :, :, 1] = restart_file.un[0, :, :, 2]\n", "restart_file.ub[0, :, :, 1] = restart_file.ub[0, :, :, 2]\n", "restart_file.vn[0, :, :, 1] = restart_file.vn[0, :, :, 2]\n", "restart_file.vb[0, :, :, 1] = restart_file.vb[0, :, :, 2]" ] }, { "cell_type": "code", "execution_count": 11, "metadata": {}, "outputs": [ { "data": { "text/plain": [ "{'file_name': 'SalishSea_04914000_restart.nc',\n", " 'TimeStamp': '13/11/2020 10:56:10 -0800',\n", " 'Modified': 'copied velocity one away from west boundary to boundary'}" ] }, "execution_count": 11, "metadata": {}, "output_type": "execute_result" } ], "source": [ "restart_file.attrs['Modified'] = 'copied velocity one away from west boundary to boundary'\n", "restart_file.attrs" ] }, { "cell_type": "code", "execution_count": 12, "metadata": {}, "outputs": [], "source": [ "restart_file.to_netcdf('SalishSea_04914000_restart.nc')" ] }, { "cell_type": "code", "execution_count": null, "metadata": {}, "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": "3.7.6" }, "toc": { "base_numbering": 1, "nav_menu": {}, "number_sections": true, "sideBar": true, "skip_h1_title": false, "title_cell": "Table of Contents", "title_sidebar": "Contents", "toc_cell": true, "toc_position": {}, "toc_section_display": true, "toc_window_display": false } }, "nbformat": 4, "nbformat_minor": 4 }