From 099db92c2ee61bb21b51ec910097c056b74ec530 Mon Sep 17 00:00:00 2001 From: EWolffWX Date: Wed, 22 May 2024 20:33:24 +0000 Subject: [PATCH] Divergence plots in LASSO file --- notebooks/LASSO_Testing.ipynb | 15326 +++++++++++++++++++++++++++++++- 1 file changed, 15279 insertions(+), 47 deletions(-) diff --git a/notebooks/LASSO_Testing.ipynb b/notebooks/LASSO_Testing.ipynb index c89cf95..4b7129a 100644 --- a/notebooks/LASSO_Testing.ipynb +++ b/notebooks/LASSO_Testing.ipynb @@ -2,18 +2,10 @@ "cells": [ { "cell_type": "code", - "execution_count": 2, + "execution_count": 215, "id": "cdcd03f3-60a3-4e89-a32f-71d96c002406", "metadata": {}, - "outputs": [ - { - "name": "stderr", - "output_type": "stream", - "text": [ - "ERROR 1: PROJ: proj_create_from_database: Open of /opt/conda/share/proj failed\n" - ] - } - ], + "outputs": [], "source": [ "# Libraries required for this tutorial...\n", "\n", @@ -22,6 +14,7 @@ "import pandas as pd\n", "import os\n", "import xarray as xr\n", + "import xwrf\n", "import glob\n", "\n", "import matplotlib.pyplot as plt\n", @@ -43,7 +36,7 @@ }, { "cell_type": "code", - "execution_count": 3, + "execution_count": 216, "id": "eed80329-cb53-4af5-9a27-7c09fbd3af69", "metadata": {}, "outputs": [ @@ -449,7 +442,7 @@ " doi_thisFileType: https://doi.org/10.5439/1905819\n", " history: processed by user d3m088 on machine cirrus28...\n", " filename_user: corlasso_met_2019012900eda09d3_base_M1.m1.20...\n", - " filename_storage: corlassomet2019012900eda09d3baseM1.m1.201901..." + " filename_storage: corlassomet2019012900eda09d3baseM1.m1.201901..." ], "text/plain": [ " Size: 6GB\n", @@ -491,7 +484,7 @@ " filename_storage: corlassomet2019012900eda09d3baseM1.m1.201901..." ] }, - "execution_count": 3, + "execution_count": 216, "metadata": {}, "output_type": "execute_result" } @@ -505,7 +498,7 @@ }, { "cell_type": "code", - "execution_count": 9, + "execution_count": 217, "id": "c738f477-246b-425b-85c9-1c590e137064", "metadata": {}, "outputs": [], @@ -515,7 +508,7 @@ }, { "cell_type": "code", - "execution_count": 10, + "execution_count": 42, "id": "a3547781-1990-4458-9982-d7bbf5972f25", "metadata": {}, "outputs": [], @@ -525,7 +518,7 @@ }, { "cell_type": "code", - "execution_count": 11, + "execution_count": 218, "id": "81a49968-2e12-4e41-a7f6-11acdb96d1f2", "metadata": {}, "outputs": [ @@ -931,7 +924,7 @@ " doi_thisFileType: https://doi.org/10.5439/1905819\n", " history: processed by user d3m088 on machine cirrus89...\n", " filename_user: corlasso_met_2019012900eda09d3_base_M1.m1.20...\n", - " filename_storage: corlassomet2019012900eda09d3baseM1.m1.201901..." + " filename_storage: corlassomet2019012900eda09d3baseM1.m1.201901..." ], "text/plain": [ " Size: 6GB\n", @@ -973,7 +966,7 @@ " filename_storage: corlassomet2019012900eda09d3baseM1.m1.201901..." ] }, - "execution_count": 11, + "execution_count": 218, "metadata": {}, "output_type": "execute_result" } @@ -985,23 +978,23 @@ }, { "cell_type": "code", - "execution_count": 13, + "execution_count": 207, "id": "d15e51f1-ef2c-4c99-b41c-4302776606de", "metadata": {}, "outputs": [ { "data": { "text/plain": [ - "" + "" ] }, - "execution_count": 13, + "execution_count": 207, "metadata": {}, "output_type": "execute_result" }, { "data": { - "image/png": "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", + "image/png": "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", "text/plain": [ "
" ] @@ -1016,33 +1009,25 @@ }, { "cell_type": "code", - "execution_count": 21, + "execution_count": 45, "id": "14602d70-2720-448f-947c-8653f6bbe3e0", "metadata": {}, "outputs": [ { - "ename": "TypeError", - "evalue": "Input z must be 2D, not 3D", - "output_type": "error", - "traceback": [ - "\u001b[0;31m---------------------------------------------------------------------------\u001b[0m", - "\u001b[0;31mTypeError\u001b[0m Traceback (most recent call last)", - "Cell \u001b[0;32mIn[21], line 1\u001b[0m\n\u001b[0;32m----> 1\u001b[0m \u001b[43mplt\u001b[49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[43mcontourf\u001b[49m\u001b[43m(\u001b[49m\u001b[43m[\u001b[49m\u001b[43mds\u001b[49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[43mXLONG\u001b[49m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\u001b[43mds\u001b[49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[43mXLAT\u001b[49m\u001b[43m]\u001b[49m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\u001b[43mds\u001b[49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[43mHGT\u001b[49m\u001b[43m[\u001b[49m\u001b[38;5;241;43m0\u001b[39;49m\u001b[43m,\u001b[49m\u001b[43m:\u001b[49m\u001b[43m,\u001b[49m\u001b[43m:\u001b[49m\u001b[43m]\u001b[49m\u001b[43m)\u001b[49m\n", - "File \u001b[0;32m/opt/conda/lib/python3.11/site-packages/matplotlib/pyplot.py:2950\u001b[0m, in \u001b[0;36mcontourf\u001b[0;34m(data, *args, **kwargs)\u001b[0m\n\u001b[1;32m 2948\u001b[0m \u001b[38;5;129m@_copy_docstring_and_deprecators\u001b[39m(Axes\u001b[38;5;241m.\u001b[39mcontourf)\n\u001b[1;32m 2949\u001b[0m \u001b[38;5;28;01mdef\u001b[39;00m \u001b[38;5;21mcontourf\u001b[39m(\u001b[38;5;241m*\u001b[39margs, data\u001b[38;5;241m=\u001b[39m\u001b[38;5;28;01mNone\u001b[39;00m, \u001b[38;5;241m*\u001b[39m\u001b[38;5;241m*\u001b[39mkwargs) \u001b[38;5;241m-\u001b[39m\u001b[38;5;241m>\u001b[39m QuadContourSet:\n\u001b[0;32m-> 2950\u001b[0m __ret \u001b[38;5;241m=\u001b[39m \u001b[43mgca\u001b[49m\u001b[43m(\u001b[49m\u001b[43m)\u001b[49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[43mcontourf\u001b[49m\u001b[43m(\u001b[49m\n\u001b[1;32m 2951\u001b[0m \u001b[43m \u001b[49m\u001b[38;5;241;43m*\u001b[39;49m\u001b[43margs\u001b[49m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\u001b[38;5;241;43m*\u001b[39;49m\u001b[38;5;241;43m*\u001b[39;49m\u001b[43m(\u001b[49m\u001b[43m{\u001b[49m\u001b[38;5;124;43m\"\u001b[39;49m\u001b[38;5;124;43mdata\u001b[39;49m\u001b[38;5;124;43m\"\u001b[39;49m\u001b[43m:\u001b[49m\u001b[43m \u001b[49m\u001b[43mdata\u001b[49m\u001b[43m}\u001b[49m\u001b[43m \u001b[49m\u001b[38;5;28;43;01mif\u001b[39;49;00m\u001b[43m \u001b[49m\u001b[43mdata\u001b[49m\u001b[43m \u001b[49m\u001b[38;5;129;43;01mis\u001b[39;49;00m\u001b[43m \u001b[49m\u001b[38;5;129;43;01mnot\u001b[39;49;00m\u001b[43m \u001b[49m\u001b[38;5;28;43;01mNone\u001b[39;49;00m\u001b[43m \u001b[49m\u001b[38;5;28;43;01melse\u001b[39;49;00m\u001b[43m \u001b[49m\u001b[43m{\u001b[49m\u001b[43m}\u001b[49m\u001b[43m)\u001b[49m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\u001b[38;5;241;43m*\u001b[39;49m\u001b[38;5;241;43m*\u001b[39;49m\u001b[43mkwargs\u001b[49m\n\u001b[1;32m 2952\u001b[0m \u001b[43m \u001b[49m\u001b[43m)\u001b[49m\n\u001b[1;32m 2953\u001b[0m \u001b[38;5;28;01mif\u001b[39;00m __ret\u001b[38;5;241m.\u001b[39m_A \u001b[38;5;129;01mis\u001b[39;00m \u001b[38;5;129;01mnot\u001b[39;00m \u001b[38;5;28;01mNone\u001b[39;00m: \u001b[38;5;66;03m# type: ignore[attr-defined]\u001b[39;00m\n\u001b[1;32m 2954\u001b[0m sci(__ret)\n", - "File \u001b[0;32m/opt/conda/lib/python3.11/site-packages/matplotlib/__init__.py:1465\u001b[0m, in \u001b[0;36m_preprocess_data..inner\u001b[0;34m(ax, data, *args, **kwargs)\u001b[0m\n\u001b[1;32m 1462\u001b[0m \u001b[38;5;129m@functools\u001b[39m\u001b[38;5;241m.\u001b[39mwraps(func)\n\u001b[1;32m 1463\u001b[0m \u001b[38;5;28;01mdef\u001b[39;00m \u001b[38;5;21minner\u001b[39m(ax, \u001b[38;5;241m*\u001b[39margs, data\u001b[38;5;241m=\u001b[39m\u001b[38;5;28;01mNone\u001b[39;00m, \u001b[38;5;241m*\u001b[39m\u001b[38;5;241m*\u001b[39mkwargs):\n\u001b[1;32m 1464\u001b[0m \u001b[38;5;28;01mif\u001b[39;00m data \u001b[38;5;129;01mis\u001b[39;00m \u001b[38;5;28;01mNone\u001b[39;00m:\n\u001b[0;32m-> 1465\u001b[0m \u001b[38;5;28;01mreturn\u001b[39;00m \u001b[43mfunc\u001b[49m\u001b[43m(\u001b[49m\u001b[43max\u001b[49m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\u001b[38;5;241;43m*\u001b[39;49m\u001b[38;5;28;43mmap\u001b[39;49m\u001b[43m(\u001b[49m\u001b[43msanitize_sequence\u001b[49m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\u001b[43margs\u001b[49m\u001b[43m)\u001b[49m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\u001b[38;5;241;43m*\u001b[39;49m\u001b[38;5;241;43m*\u001b[39;49m\u001b[43mkwargs\u001b[49m\u001b[43m)\u001b[49m\n\u001b[1;32m 1467\u001b[0m bound \u001b[38;5;241m=\u001b[39m new_sig\u001b[38;5;241m.\u001b[39mbind(ax, \u001b[38;5;241m*\u001b[39margs, \u001b[38;5;241m*\u001b[39m\u001b[38;5;241m*\u001b[39mkwargs)\n\u001b[1;32m 1468\u001b[0m auto_label \u001b[38;5;241m=\u001b[39m (bound\u001b[38;5;241m.\u001b[39marguments\u001b[38;5;241m.\u001b[39mget(label_namer)\n\u001b[1;32m 1469\u001b[0m \u001b[38;5;129;01mor\u001b[39;00m bound\u001b[38;5;241m.\u001b[39mkwargs\u001b[38;5;241m.\u001b[39mget(label_namer))\n", - "File \u001b[0;32m/opt/conda/lib/python3.11/site-packages/matplotlib/axes/_axes.py:6536\u001b[0m, in \u001b[0;36mAxes.contourf\u001b[0;34m(self, *args, **kwargs)\u001b[0m\n\u001b[1;32m 6527\u001b[0m \u001b[38;5;250m\u001b[39m\u001b[38;5;124;03m\"\"\"\u001b[39;00m\n\u001b[1;32m 6528\u001b[0m \u001b[38;5;124;03mPlot filled contours.\u001b[39;00m\n\u001b[1;32m 6529\u001b[0m \n\u001b[0;32m (...)\u001b[0m\n\u001b[1;32m 6533\u001b[0m \u001b[38;5;124;03m%(contour_doc)s\u001b[39;00m\n\u001b[1;32m 6534\u001b[0m \u001b[38;5;124;03m\"\"\"\u001b[39;00m\n\u001b[1;32m 6535\u001b[0m kwargs[\u001b[38;5;124m'\u001b[39m\u001b[38;5;124mfilled\u001b[39m\u001b[38;5;124m'\u001b[39m] \u001b[38;5;241m=\u001b[39m \u001b[38;5;28;01mTrue\u001b[39;00m\n\u001b[0;32m-> 6536\u001b[0m contours \u001b[38;5;241m=\u001b[39m \u001b[43mmcontour\u001b[49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[43mQuadContourSet\u001b[49m\u001b[43m(\u001b[49m\u001b[38;5;28;43mself\u001b[39;49m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\u001b[38;5;241;43m*\u001b[39;49m\u001b[43margs\u001b[49m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\u001b[38;5;241;43m*\u001b[39;49m\u001b[38;5;241;43m*\u001b[39;49m\u001b[43mkwargs\u001b[49m\u001b[43m)\u001b[49m\n\u001b[1;32m 6537\u001b[0m \u001b[38;5;28mself\u001b[39m\u001b[38;5;241m.\u001b[39m_request_autoscale_view()\n\u001b[1;32m 6538\u001b[0m \u001b[38;5;28;01mreturn\u001b[39;00m contours\n", - "File \u001b[0;32m/opt/conda/lib/python3.11/site-packages/matplotlib/contour.py:858\u001b[0m, in \u001b[0;36mContourSet.__init__\u001b[0;34m(self, ax, levels, filled, linewidths, linestyles, hatches, alpha, origin, extent, cmap, colors, norm, vmin, vmax, extend, antialiased, nchunk, locator, transform, negative_linestyles, clip_path, *args, **kwargs)\u001b[0m\n\u001b[1;32m 854\u001b[0m \u001b[38;5;28;01mif\u001b[39;00m \u001b[38;5;28mself\u001b[39m\u001b[38;5;241m.\u001b[39mnegative_linestyles \u001b[38;5;129;01mis\u001b[39;00m \u001b[38;5;28;01mNone\u001b[39;00m:\n\u001b[1;32m 855\u001b[0m \u001b[38;5;28mself\u001b[39m\u001b[38;5;241m.\u001b[39mnegative_linestyles \u001b[38;5;241m=\u001b[39m \\\n\u001b[1;32m 856\u001b[0m mpl\u001b[38;5;241m.\u001b[39mrcParams[\u001b[38;5;124m'\u001b[39m\u001b[38;5;124mcontour.negative_linestyle\u001b[39m\u001b[38;5;124m'\u001b[39m]\n\u001b[0;32m--> 858\u001b[0m kwargs \u001b[38;5;241m=\u001b[39m \u001b[38;5;28;43mself\u001b[39;49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[43m_process_args\u001b[49m\u001b[43m(\u001b[49m\u001b[38;5;241;43m*\u001b[39;49m\u001b[43margs\u001b[49m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\u001b[38;5;241;43m*\u001b[39;49m\u001b[38;5;241;43m*\u001b[39;49m\u001b[43mkwargs\u001b[49m\u001b[43m)\u001b[49m\n\u001b[1;32m 859\u001b[0m \u001b[38;5;28mself\u001b[39m\u001b[38;5;241m.\u001b[39m_process_levels()\n\u001b[1;32m 861\u001b[0m \u001b[38;5;28mself\u001b[39m\u001b[38;5;241m.\u001b[39m_extend_min \u001b[38;5;241m=\u001b[39m \u001b[38;5;28mself\u001b[39m\u001b[38;5;241m.\u001b[39mextend \u001b[38;5;129;01min\u001b[39;00m [\u001b[38;5;124m'\u001b[39m\u001b[38;5;124mmin\u001b[39m\u001b[38;5;124m'\u001b[39m, \u001b[38;5;124m'\u001b[39m\u001b[38;5;124mboth\u001b[39m\u001b[38;5;124m'\u001b[39m]\n", - "File \u001b[0;32m/opt/conda/lib/python3.11/site-packages/matplotlib/contour.py:1523\u001b[0m, in \u001b[0;36mQuadContourSet._process_args\u001b[0;34m(self, corner_mask, algorithm, *args, **kwargs)\u001b[0m\n\u001b[1;32m 1520\u001b[0m corner_mask \u001b[38;5;241m=\u001b[39m mpl\u001b[38;5;241m.\u001b[39mrcParams[\u001b[38;5;124m'\u001b[39m\u001b[38;5;124mcontour.corner_mask\u001b[39m\u001b[38;5;124m'\u001b[39m]\n\u001b[1;32m 1521\u001b[0m \u001b[38;5;28mself\u001b[39m\u001b[38;5;241m.\u001b[39m_corner_mask \u001b[38;5;241m=\u001b[39m corner_mask\n\u001b[0;32m-> 1523\u001b[0m x, y, z \u001b[38;5;241m=\u001b[39m \u001b[38;5;28;43mself\u001b[39;49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[43m_contour_args\u001b[49m\u001b[43m(\u001b[49m\u001b[43margs\u001b[49m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\u001b[43mkwargs\u001b[49m\u001b[43m)\u001b[49m\n\u001b[1;32m 1525\u001b[0m contour_generator \u001b[38;5;241m=\u001b[39m contourpy\u001b[38;5;241m.\u001b[39mcontour_generator(\n\u001b[1;32m 1526\u001b[0m x, y, z, name\u001b[38;5;241m=\u001b[39m\u001b[38;5;28mself\u001b[39m\u001b[38;5;241m.\u001b[39m_algorithm, corner_mask\u001b[38;5;241m=\u001b[39m\u001b[38;5;28mself\u001b[39m\u001b[38;5;241m.\u001b[39m_corner_mask,\n\u001b[1;32m 1527\u001b[0m line_type\u001b[38;5;241m=\u001b[39mcontourpy\u001b[38;5;241m.\u001b[39mLineType\u001b[38;5;241m.\u001b[39mSeparateCode,\n\u001b[1;32m 1528\u001b[0m fill_type\u001b[38;5;241m=\u001b[39mcontourpy\u001b[38;5;241m.\u001b[39mFillType\u001b[38;5;241m.\u001b[39mOuterCode,\n\u001b[1;32m 1529\u001b[0m chunk_size\u001b[38;5;241m=\u001b[39m\u001b[38;5;28mself\u001b[39m\u001b[38;5;241m.\u001b[39mnchunk)\n\u001b[1;32m 1531\u001b[0m t \u001b[38;5;241m=\u001b[39m \u001b[38;5;28mself\u001b[39m\u001b[38;5;241m.\u001b[39mget_transform()\n", - "File \u001b[0;32m/opt/conda/lib/python3.11/site-packages/matplotlib/contour.py:1560\u001b[0m, in \u001b[0;36mQuadContourSet._contour_args\u001b[0;34m(self, args, kwargs)\u001b[0m\n\u001b[1;32m 1558\u001b[0m z, \u001b[38;5;241m*\u001b[39margs \u001b[38;5;241m=\u001b[39m args\n\u001b[1;32m 1559\u001b[0m z \u001b[38;5;241m=\u001b[39m ma\u001b[38;5;241m.\u001b[39masarray(z)\n\u001b[0;32m-> 1560\u001b[0m x, y \u001b[38;5;241m=\u001b[39m \u001b[38;5;28;43mself\u001b[39;49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[43m_initialize_x_y\u001b[49m\u001b[43m(\u001b[49m\u001b[43mz\u001b[49m\u001b[43m)\u001b[49m\n\u001b[1;32m 1561\u001b[0m \u001b[38;5;28;01melif\u001b[39;00m \u001b[38;5;241m2\u001b[39m \u001b[38;5;241m<\u001b[39m nargs \u001b[38;5;241m<\u001b[39m\u001b[38;5;241m=\u001b[39m \u001b[38;5;241m4\u001b[39m:\n\u001b[1;32m 1562\u001b[0m x, y, z_orig, \u001b[38;5;241m*\u001b[39margs \u001b[38;5;241m=\u001b[39m args\n", - "File \u001b[0;32m/opt/conda/lib/python3.11/site-packages/matplotlib/contour.py:1634\u001b[0m, in \u001b[0;36mQuadContourSet._initialize_x_y\u001b[0;34m(self, z)\u001b[0m\n\u001b[1;32m 1621\u001b[0m \u001b[38;5;250m\u001b[39m\u001b[38;5;124;03m\"\"\"\u001b[39;00m\n\u001b[1;32m 1622\u001b[0m \u001b[38;5;124;03mReturn X, Y arrays such that contour(Z) will match imshow(Z)\u001b[39;00m\n\u001b[1;32m 1623\u001b[0m \u001b[38;5;124;03mif origin is not None.\u001b[39;00m\n\u001b[0;32m (...)\u001b[0m\n\u001b[1;32m 1631\u001b[0m \u001b[38;5;124;03mwill give the minimum and maximum values of x and y.\u001b[39;00m\n\u001b[1;32m 1632\u001b[0m \u001b[38;5;124;03m\"\"\"\u001b[39;00m\n\u001b[1;32m 1633\u001b[0m \u001b[38;5;28;01mif\u001b[39;00m z\u001b[38;5;241m.\u001b[39mndim \u001b[38;5;241m!=\u001b[39m \u001b[38;5;241m2\u001b[39m:\n\u001b[0;32m-> 1634\u001b[0m \u001b[38;5;28;01mraise\u001b[39;00m \u001b[38;5;167;01mTypeError\u001b[39;00m(\u001b[38;5;124mf\u001b[39m\u001b[38;5;124m\"\u001b[39m\u001b[38;5;124mInput z must be 2D, not \u001b[39m\u001b[38;5;132;01m{\u001b[39;00mz\u001b[38;5;241m.\u001b[39mndim\u001b[38;5;132;01m}\u001b[39;00m\u001b[38;5;124mD\u001b[39m\u001b[38;5;124m\"\u001b[39m)\n\u001b[1;32m 1635\u001b[0m \u001b[38;5;28;01melif\u001b[39;00m z\u001b[38;5;241m.\u001b[39mshape[\u001b[38;5;241m0\u001b[39m] \u001b[38;5;241m<\u001b[39m \u001b[38;5;241m2\u001b[39m \u001b[38;5;129;01mor\u001b[39;00m z\u001b[38;5;241m.\u001b[39mshape[\u001b[38;5;241m1\u001b[39m] \u001b[38;5;241m<\u001b[39m \u001b[38;5;241m2\u001b[39m:\n\u001b[1;32m 1636\u001b[0m \u001b[38;5;28;01mraise\u001b[39;00m \u001b[38;5;167;01mTypeError\u001b[39;00m(\u001b[38;5;124mf\u001b[39m\u001b[38;5;124m\"\u001b[39m\u001b[38;5;124mInput z must be at least a (2, 2) shaped array, \u001b[39m\u001b[38;5;124m\"\u001b[39m\n\u001b[1;32m 1637\u001b[0m \u001b[38;5;124mf\u001b[39m\u001b[38;5;124m\"\u001b[39m\u001b[38;5;124mbut has shape \u001b[39m\u001b[38;5;132;01m{\u001b[39;00mz\u001b[38;5;241m.\u001b[39mshape\u001b[38;5;132;01m}\u001b[39;00m\u001b[38;5;124m\"\u001b[39m)\n", - "\u001b[0;31mTypeError\u001b[0m: Input z must be 2D, not 3D" - ] + "data": { + "text/plain": [ + "" + ] + }, + "execution_count": 45, + "metadata": {}, + "output_type": "execute_result" }, { "data": { - "image/png": "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", + "image/png": "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", "text/plain": [ - "
" + "
" ] }, "metadata": {}, @@ -1050,12 +1035,19 @@ } ], "source": [ - "plt.contourf([ds.XLONG, ds.XLAT], ds.HGT[0,:,:])" + "CSAPR_lat = -32.12641\n", + "CSAPR_lon = -64.72837\n", + "\n", + "cf = plt.contourf(ds.XLONG, ds.XLAT, ds.HGT[0,:,:], cmap='terrain', levels=np.arange(0, 2500, 50))\n", + "plt.scatter(CSAPR_lon, CSAPR_lat, s=50, c='tab:red', label='ARM Site')\n", + "plt.title('Terrain', fontsize=15)\n", + "plt.colorbar(cf, label='Height (m)')\n", + "plt.legend()" ] }, { "cell_type": "code", - "execution_count": 18, + "execution_count": 46, "id": "a7026e45-290a-434b-af65-c8e6d3402cc7", "metadata": {}, "outputs": [ @@ -1065,7 +1057,7 @@ "(865, 750)" ] }, - "execution_count": 18, + "execution_count": 46, "metadata": {}, "output_type": "execute_result" } @@ -1076,7 +1068,7 @@ }, { "cell_type": "code", - "execution_count": 19, + "execution_count": 47, "id": "bf06c83d-ed8e-4670-a716-b2803662a09b", "metadata": {}, "outputs": [ @@ -1086,7 +1078,7 @@ "(865, 750)" ] }, - "execution_count": 19, + "execution_count": 47, "metadata": {}, "output_type": "execute_result" } @@ -1097,9 +1089,15249 @@ }, { "cell_type": "code", - "execution_count": null, + "execution_count": 48, "id": "775f7f20-2226-4d3d-b041-cb436d7fbda0", "metadata": {}, + "outputs": [ + { + "data": { + "text/plain": [ + "(865, 750)" + ] + }, + "execution_count": 48, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "ds.XLONG.shape" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "id": "cc34f0cb-d29b-4ece-8d73-c634ae0b5aa8", + "metadata": {}, + "outputs": [], + "source": [] + }, + { + "cell_type": "code", + "execution_count": 53, + "id": "3dc50484-4c11-4536-a089-8849947b171d", + "metadata": {}, + "outputs": [], + "source": [ + "import numpy as np\n", + "import metpy.calc as mcalc\n", + "from metpy.units import units" + ] + }, + { + "cell_type": "code", + "execution_count": 78, + "id": "302d21e5-6dcc-4874-a32f-f2ec6f8f2a29", + "metadata": {}, + "outputs": [], + "source": [ + "td_array = np.zeros((ds.RH.shape[2], ds.RH.shape[3]))\n", + "temps = ds.TEMPERATURE[0,0,:,:].values\n", + "rhs = ds.RH[0,0,:,:].values\n", + "for i in np.arange(0, ds.RH.shape[2], 1):\n", + " for j in np.arange(0, ds.RH.shape[3], 1):\n", + " rh_val = rhs[i,j] * units('%')\n", + " temp_val = (temps[i,j]-273.15) * units('degC')\n", + " td = mcalc.dewpoint_from_relative_humidity(temp_val, rh_val)\n", + " td_array[i,j] = td.magnitude" + ] + }, + { + "cell_type": "code", + "execution_count": 85, + "id": "1071790e-0675-4746-a235-00a989e3b4be", + "metadata": {}, + "outputs": [ + { + "data": { + "text/plain": [ + "" + ] + }, + "execution_count": 85, + "metadata": {}, + "output_type": "execute_result" + }, + { + "data": { + "image/png": "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", + "text/plain": [ + "
" + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], + "source": [ + "CSAPR_lat = -32.12641\n", + "CSAPR_lon = -64.72837\n", + "\n", + "cf = plt.contourf(ds.XLONG, ds.XLAT, td_array, cmap='Greens', levels=np.arange(-20, 40, 2))\n", + "plt.scatter(CSAPR_lon, CSAPR_lat, s=50, c='tab:red', label='ARM Site')\n", + "plt.title('Dewpoint', fontsize=15)\n", + "plt.colorbar(cf, label='Dewpoint (degC)')\n", + "plt.legend()" + ] + }, + { + "cell_type": "code", + "execution_count": 129, + "id": "e466f37d-56c6-40c2-90e0-63d9c0a306a4", + "metadata": {}, + "outputs": [], + "source": [ + "# u = ds.UMET10.values[0,:,:] * units('m/s')\n", + "# v = ds.VMET10.values[0,:,:] * units('m/s')\n", + "# dx = 100 * units('m')\n", + "# dy = 100 * units('m')\n", + "\n", + "# div = mcalc.divergence(u,v,dx=dx,dy=dy)" + ] + }, + { + "cell_type": "code", + "execution_count": 176, + "id": "17f135cb-d60a-4542-a5d5-5d9cec1b925f", + "metadata": {}, + "outputs": [], + "source": [ + "#ds2 = ds.assign_coords(bottom_top=(ds[\"HAMSL\"]))" + ] + }, + { + "cell_type": "code", + "execution_count": 219, + "id": "a62ded57-268e-4839-bf66-cc2c619ac80d", + "metadata": {}, + "outputs": [], + "source": [ + "u = ds.UMET.values[0,10,:,:] * units('m/s')\n", + "v = ds.VMET.values[0,10,:,:] * units('m/s')\n", + "dx = 100 * units('m')\n", + "dy = 100 * units('m')\n", + "\n", + "div = mcalc.divergence(u,v,dx=dx,dy=dy)" + ] + }, + { + "cell_type": "code", + "execution_count": 220, + "id": "132af66e-ed9d-4db8-8465-ff49af5fed18", + "metadata": {}, + "outputs": [ + { + "data": { + "text/plain": [ + "" + ] + }, + "execution_count": 220, + "metadata": {}, + "output_type": "execute_result" + }, + { + "data": { + "image/png": "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", + "text/plain": [ + "
" + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], + "source": [ + "CSAPR_lat = -32.12641\n", + "CSAPR_lon = -64.72837\n", + "\n", + "cf = plt.contourf(ds.XLONG, ds.XLAT, div, cmap='seismic', levels=np.arange(-0.1, 0.1, 0.001))\n", + "#plt.xlim([-65,-64])\n", + "#plt.ylim([-33, -32])\n", + "plt.contour(ds.XLONG, ds.XLAT, ds.HGT[0,:,:], levels=[500, 1000, 1500], cmap='terrain')\n", + "plt.scatter(CSAPR_lon, CSAPR_lat, s=50, c='tab:blue', label='ARM Site')\n", + "plt.title('Divergence', fontsize=15)\n", + "plt.colorbar(cf, label='Divergence (1/sec)')\n", + "plt.legend()" + ] + }, + { + "cell_type": "code", + "execution_count": 140, + "id": "c2d81251-3a99-4c0b-8fd3-cc217133ec8c", + "metadata": {}, + "outputs": [ + { + "data": { + "text/plain": [ + "" + ] + }, + "execution_count": 140, + "metadata": {}, + "output_type": "execute_result" + }, + { + "data": { + "image/png": "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", + "text/plain": [ + "
" + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], + "source": [ + "CSAPR_lat = -32.12641\n", + "CSAPR_lon = -64.72837\n", + "\n", + "cf = plt.contourf(ds.XLONG, ds.XLAT, ds.HGT[0,:,:], cmap='terrain', levels=np.arange(0, 2500, 50))\n", + "#plt.contour(ds.XLONG, ds.XLAT, div, levels=np.arange(-0.05, 0, 0.025))\n", + "plt.contour(ds.XLONG, ds.XLAT, div, levels=[-0.025])\n", + "plt.scatter(CSAPR_lon, CSAPR_lat, s=50, c='tab:red', label='ARM Site')\n", + "plt.title('Terrain', fontsize=15)\n", + "plt.colorbar(cf, label='Height (m)')\n", + "plt.legend()" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "id": "535b6ab8-ccf8-455c-85ca-3e7f749e22c6", + "metadata": {}, + "outputs": [], + "source": [] + }, + { + "cell_type": "markdown", + "id": "21dfa661-f547-437b-88b5-57b5e267f61e", + "metadata": {}, + "source": [ + "Divergence Loop" + ] + }, + { + "cell_type": "code", + "execution_count": 145, + "id": "33b55ef5-5998-4b90-88f1-3194eb87c8ee", + "metadata": {}, + "outputs": [], + "source": [ + "path_staging = \"/data/project/ARM_Summer_School_2024_Data/lasso_tutorial/cacti/lasso-cacti\" # path on Jupyter\n", + "file_list = sorted(glob.glob(f'{path_staging}/20190129/eda09/base/les/subset_d3/corlasso_met_*'))" + ] + }, + { + "cell_type": "code", + "execution_count": 147, + "id": "ecacd253-b682-4a14-9d7d-3c5a368945b4", + "metadata": {}, + "outputs": [ + { + "data": { + "text/html": [ + "
\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "
<xarray.Dataset> Size: 430GB\n",
+       "Dimensions:               (Time: 73, south_north: 865, west_east: 750,\n",
+       "                           bottom_top: 149)\n",
+       "Coordinates:\n",
+       "  * Time                  (Time) datetime64[ns] 584B 2019-01-29T06:00:00 ... ...\n",
+       "    XLONG                 (south_north, west_east) float32 3MB dask.array<chunksize=(865, 750), meta=np.ndarray>\n",
+       "    XLAT                  (south_north, west_east) float32 3MB dask.array<chunksize=(865, 750), meta=np.ndarray>\n",
+       "    XTIME                 (Time) float32 292B dask.array<chunksize=(1,), meta=np.ndarray>\n",
+       "Dimensions without coordinates: south_north, west_east, bottom_top\n",
+       "Data variables: (12/52)\n",
+       "    ITIMESTEP             (Time) int32 292B dask.array<chunksize=(1,), meta=np.ndarray>\n",
+       "    MUTOT                 (Time, south_north, west_east) float32 189MB dask.array<chunksize=(1, 865, 750), meta=np.ndarray>\n",
+       "    HGT                   (Time, south_north, west_east) float32 189MB dask.array<chunksize=(1, 865, 750), meta=np.ndarray>\n",
+       "    HAMSL                 (Time, bottom_top, south_north, west_east) float32 28GB dask.array<chunksize=(1, 50, 289, 250), meta=np.ndarray>\n",
+       "    P_HYD                 (Time, bottom_top, south_north, west_east) float32 28GB dask.array<chunksize=(1, 50, 289, 250), meta=np.ndarray>\n",
+       "    PRESSURE              (Time, bottom_top, south_north, west_east) float32 28GB dask.array<chunksize=(1, 50, 289, 250), meta=np.ndarray>\n",
+       "    ...                    ...\n",
+       "    MULFC                 (Time, south_north, west_east) float32 189MB dask.array<chunksize=(1, 865, 750), meta=np.ndarray>\n",
+       "    MULNB                 (Time, south_north, west_east) float32 189MB dask.array<chunksize=(1, 865, 750), meta=np.ndarray>\n",
+       "    MULPL                 (Time, south_north, west_east) float32 189MB dask.array<chunksize=(1, 865, 750), meta=np.ndarray>\n",
+       "    MUCAPE                (Time, south_north, west_east) float32 189MB dask.array<chunksize=(1, 865, 750), meta=np.ndarray>\n",
+       "    MUCIN                 (Time, south_north, west_east) float32 189MB dask.array<chunksize=(1, 865, 750), meta=np.ndarray>\n",
+       "    REFL_10CM_MAX         (Time, south_north, west_east) float32 189MB dask.array<chunksize=(1, 865, 750), meta=np.ndarray>\n",
+       "Attributes: (12/39)\n",
+       "    DX:                          500.0\n",
+       "    DY:                          500.0\n",
+       "    SIMULATION_START_DATE:       2019-01-29_06:00:00\n",
+       "    WEST-EAST_GRID_DIMENSION:    751\n",
+       "    SOUTH-NORTH_GRID_DIMENSION:  866\n",
+       "    BOTTOM-TOP_GRID_DIMENSION:   150\n",
+       "    ...                          ...\n",
+       "    doi_isPartOf_lasso-cacti:    https://doi.org/10.5439/1905789\n",
+       "    doi_isDocumentedBy:          https://doi.org/10.2172/1905845\n",
+       "    doi_thisFileType:            https://doi.org/10.5439/1905819\n",
+       "    history:                     processed by user d3m088 on machine cirrus89...\n",
+       "    filename_user:               corlasso_met_2019012900eda09d3_base_M1.m1.20...\n",
+       "    filename_storage:            corlassomet2019012900eda09d3baseM1.m1.201901...
" + ], + "text/plain": [ + " Size: 430GB\n", + "Dimensions: (Time: 73, south_north: 865, west_east: 750,\n", + " bottom_top: 149)\n", + "Coordinates:\n", + " * Time (Time) datetime64[ns] 584B 2019-01-29T06:00:00 ... ...\n", + " XLONG (south_north, west_east) float32 3MB dask.array\n", + " XLAT (south_north, west_east) float32 3MB dask.array\n", + " XTIME (Time) float32 292B dask.array\n", + "Dimensions without coordinates: south_north, west_east, bottom_top\n", + "Data variables: (12/52)\n", + " ITIMESTEP (Time) int32 292B dask.array\n", + " MUTOT (Time, south_north, west_east) float32 189MB dask.array\n", + " HGT (Time, south_north, west_east) float32 189MB dask.array\n", + " HAMSL (Time, bottom_top, south_north, west_east) float32 28GB dask.array\n", + " P_HYD (Time, bottom_top, south_north, west_east) float32 28GB dask.array\n", + " PRESSURE (Time, bottom_top, south_north, west_east) float32 28GB dask.array\n", + " ... ...\n", + " MULFC (Time, south_north, west_east) float32 189MB dask.array\n", + " MULNB (Time, south_north, west_east) float32 189MB dask.array\n", + " MULPL (Time, south_north, west_east) float32 189MB dask.array\n", + " MUCAPE (Time, south_north, west_east) float32 189MB dask.array\n", + " MUCIN (Time, south_north, west_east) float32 189MB dask.array\n", + " REFL_10CM_MAX (Time, south_north, west_east) float32 189MB dask.array\n", + "Attributes: (12/39)\n", + " DX: 500.0\n", + " DY: 500.0\n", + " SIMULATION_START_DATE: 2019-01-29_06:00:00\n", + " WEST-EAST_GRID_DIMENSION: 751\n", + " SOUTH-NORTH_GRID_DIMENSION: 866\n", + " BOTTOM-TOP_GRID_DIMENSION: 150\n", + " ... ...\n", + " doi_isPartOf_lasso-cacti: https://doi.org/10.5439/1905789\n", + " doi_isDocumentedBy: https://doi.org/10.2172/1905845\n", + " doi_thisFileType: https://doi.org/10.5439/1905819\n", + " history: processed by user d3m088 on machine cirrus89...\n", + " filename_user: corlasso_met_2019012900eda09d3_base_M1.m1.20...\n", + " filename_storage: corlassomet2019012900eda09d3baseM1.m1.201901..." + ] + }, + "execution_count": 147, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "ds = xr.open_mfdataset(file_list)\n", + "ds" + ] + }, + { + "cell_type": "code", + "execution_count": 149, + "id": "03c9d880-e221-43ac-b9a4-035ccdc82945", + "metadata": {}, + "outputs": [], + "source": [ + "u_all = ds.UMET[:,10,:,:]\n", + "v_all = ds.VMET[:,10,:,:]" + ] + }, + { + "cell_type": "code", + "execution_count": 165, + "id": "5025f4ee-5435-4d22-b2bc-f077d3d7bdb4", + "metadata": {}, + "outputs": [ + { + "name": "stderr", + "output_type": "stream", + "text": [ + "/tmp/ipykernel_35760/2727113271.py:10: UserWarning: More than one time coordinate present for variable \"UMET\".\n", + " div = mcalc.divergence(u,v,dx=dx,dy=dy)\n", + "/tmp/ipykernel_35760/2727113271.py:10: UserWarning: Horizontal dimension numbers not found. Defaulting to (..., Y, X) order.\n", + " div = mcalc.divergence(u,v,dx=dx,dy=dy)\n", + "/tmp/ipykernel_35760/2727113271.py:10: UserWarning: More than one time coordinate present for variable \"UMET\".\n", + " div = mcalc.divergence(u,v,dx=dx,dy=dy)\n", + "/tmp/ipykernel_35760/2727113271.py:10: UserWarning: Horizontal dimension numbers not found. Defaulting to (..., Y, X) order.\n", + " div = mcalc.divergence(u,v,dx=dx,dy=dy)\n", + "/tmp/ipykernel_35760/2727113271.py:10: UserWarning: More than one time coordinate present for variable \"UMET\".\n", + " div = mcalc.divergence(u,v,dx=dx,dy=dy)\n", + "/tmp/ipykernel_35760/2727113271.py:10: UserWarning: Horizontal dimension numbers not found. Defaulting to (..., Y, X) order.\n", + " div = mcalc.divergence(u,v,dx=dx,dy=dy)\n", + "/tmp/ipykernel_35760/2727113271.py:10: UserWarning: More than one time coordinate present for variable \"UMET\".\n", + " div = mcalc.divergence(u,v,dx=dx,dy=dy)\n", + "/tmp/ipykernel_35760/2727113271.py:10: UserWarning: Horizontal dimension numbers not found. Defaulting to (..., Y, X) order.\n", + " div = mcalc.divergence(u,v,dx=dx,dy=dy)\n", + "/tmp/ipykernel_35760/2727113271.py:10: UserWarning: More than one time coordinate present for variable \"UMET\".\n", + " div = mcalc.divergence(u,v,dx=dx,dy=dy)\n", + "/tmp/ipykernel_35760/2727113271.py:10: UserWarning: Horizontal dimension numbers not found. Defaulting to (..., Y, X) order.\n", + " div = mcalc.divergence(u,v,dx=dx,dy=dy)\n", + "/tmp/ipykernel_35760/2727113271.py:10: UserWarning: More than one time coordinate present for variable \"UMET\".\n", + " div = mcalc.divergence(u,v,dx=dx,dy=dy)\n", + "/tmp/ipykernel_35760/2727113271.py:10: UserWarning: Horizontal dimension numbers not found. Defaulting to (..., Y, X) order.\n", + " div = mcalc.divergence(u,v,dx=dx,dy=dy)\n", + "/tmp/ipykernel_35760/2727113271.py:10: UserWarning: More than one time coordinate present for variable \"UMET\".\n", + " div = mcalc.divergence(u,v,dx=dx,dy=dy)\n", + "/tmp/ipykernel_35760/2727113271.py:10: UserWarning: Horizontal dimension numbers not found. Defaulting to (..., Y, X) order.\n", + " div = mcalc.divergence(u,v,dx=dx,dy=dy)\n", + "/tmp/ipykernel_35760/2727113271.py:10: UserWarning: More than one time coordinate present for variable \"UMET\".\n", + " div = mcalc.divergence(u,v,dx=dx,dy=dy)\n", + "/tmp/ipykernel_35760/2727113271.py:10: UserWarning: Horizontal dimension numbers not found. Defaulting to (..., Y, X) order.\n", + " div = mcalc.divergence(u,v,dx=dx,dy=dy)\n", + "/tmp/ipykernel_35760/2727113271.py:10: UserWarning: More than one time coordinate present for variable \"UMET\".\n", + " div = mcalc.divergence(u,v,dx=dx,dy=dy)\n", + "/tmp/ipykernel_35760/2727113271.py:10: UserWarning: Horizontal dimension numbers not found. Defaulting to (..., Y, X) order.\n", + " div = mcalc.divergence(u,v,dx=dx,dy=dy)\n", + "/tmp/ipykernel_35760/2727113271.py:10: UserWarning: More than one time coordinate present for variable \"UMET\".\n", + " div = mcalc.divergence(u,v,dx=dx,dy=dy)\n", + "/tmp/ipykernel_35760/2727113271.py:10: UserWarning: Horizontal dimension numbers not found. Defaulting to (..., Y, X) order.\n", + " div = mcalc.divergence(u,v,dx=dx,dy=dy)\n", + "/tmp/ipykernel_35760/2727113271.py:10: UserWarning: More than one time coordinate present for variable \"UMET\".\n", + " div = mcalc.divergence(u,v,dx=dx,dy=dy)\n", + "/tmp/ipykernel_35760/2727113271.py:10: UserWarning: Horizontal dimension numbers not found. Defaulting to (..., Y, X) order.\n", + " div = mcalc.divergence(u,v,dx=dx,dy=dy)\n", + "/tmp/ipykernel_35760/2727113271.py:10: UserWarning: More than one time coordinate present for variable \"UMET\".\n", + " div = mcalc.divergence(u,v,dx=dx,dy=dy)\n", + "/tmp/ipykernel_35760/2727113271.py:10: UserWarning: Horizontal dimension numbers not found. Defaulting to (..., Y, X) order.\n", + " div = mcalc.divergence(u,v,dx=dx,dy=dy)\n", + "/tmp/ipykernel_35760/2727113271.py:10: UserWarning: More than one time coordinate present for variable \"UMET\".\n", + " div = mcalc.divergence(u,v,dx=dx,dy=dy)\n", + "/tmp/ipykernel_35760/2727113271.py:10: UserWarning: Horizontal dimension numbers not found. Defaulting to (..., Y, X) order.\n", + " div = mcalc.divergence(u,v,dx=dx,dy=dy)\n", + "/tmp/ipykernel_35760/2727113271.py:10: UserWarning: More than one time coordinate present for variable \"UMET\".\n", + " div = mcalc.divergence(u,v,dx=dx,dy=dy)\n", + "/tmp/ipykernel_35760/2727113271.py:10: UserWarning: Horizontal dimension numbers not found. Defaulting to (..., Y, X) order.\n", + " div = mcalc.divergence(u,v,dx=dx,dy=dy)\n", + "/tmp/ipykernel_35760/2727113271.py:10: UserWarning: More than one time coordinate present for variable \"UMET\".\n", + " div = mcalc.divergence(u,v,dx=dx,dy=dy)\n", + "/tmp/ipykernel_35760/2727113271.py:10: UserWarning: Horizontal dimension numbers not found. Defaulting to (..., Y, X) order.\n", + " div = mcalc.divergence(u,v,dx=dx,dy=dy)\n", + "/tmp/ipykernel_35760/2727113271.py:10: UserWarning: More than one time coordinate present for variable \"UMET\".\n", + " div = mcalc.divergence(u,v,dx=dx,dy=dy)\n", + "/tmp/ipykernel_35760/2727113271.py:10: UserWarning: Horizontal dimension numbers not found. Defaulting to (..., Y, X) order.\n", + " div = mcalc.divergence(u,v,dx=dx,dy=dy)\n", + "/tmp/ipykernel_35760/2727113271.py:10: UserWarning: More than one time coordinate present for variable \"UMET\".\n", + " div = mcalc.divergence(u,v,dx=dx,dy=dy)\n", + "/tmp/ipykernel_35760/2727113271.py:10: UserWarning: Horizontal dimension numbers not found. Defaulting to (..., Y, X) order.\n", + " div = mcalc.divergence(u,v,dx=dx,dy=dy)\n", + "/tmp/ipykernel_35760/2727113271.py:10: UserWarning: More than one time coordinate present for variable \"UMET\".\n", + " div = mcalc.divergence(u,v,dx=dx,dy=dy)\n", + "/tmp/ipykernel_35760/2727113271.py:10: UserWarning: Horizontal dimension numbers not found. Defaulting to (..., Y, X) order.\n", + " div = mcalc.divergence(u,v,dx=dx,dy=dy)\n", + "/tmp/ipykernel_35760/2727113271.py:10: UserWarning: More than one time coordinate present for variable \"UMET\".\n", + " div = mcalc.divergence(u,v,dx=dx,dy=dy)\n", + "/tmp/ipykernel_35760/2727113271.py:10: UserWarning: Horizontal dimension numbers not found. Defaulting to (..., Y, X) order.\n", + " div = mcalc.divergence(u,v,dx=dx,dy=dy)\n", + "/tmp/ipykernel_35760/2727113271.py:10: UserWarning: More than one time coordinate present for variable \"UMET\".\n", + " div = mcalc.divergence(u,v,dx=dx,dy=dy)\n", + "/tmp/ipykernel_35760/2727113271.py:10: UserWarning: Horizontal dimension numbers not found. Defaulting to (..., Y, X) order.\n", + " div = mcalc.divergence(u,v,dx=dx,dy=dy)\n", + "/tmp/ipykernel_35760/2727113271.py:10: UserWarning: More than one time coordinate present for variable \"UMET\".\n", + " div = mcalc.divergence(u,v,dx=dx,dy=dy)\n", + "/tmp/ipykernel_35760/2727113271.py:10: UserWarning: Horizontal dimension numbers not found. Defaulting to (..., Y, X) order.\n", + " div = mcalc.divergence(u,v,dx=dx,dy=dy)\n", + "/tmp/ipykernel_35760/2727113271.py:10: UserWarning: More than one time coordinate present for variable \"UMET\".\n", + " div = mcalc.divergence(u,v,dx=dx,dy=dy)\n", + "/tmp/ipykernel_35760/2727113271.py:10: UserWarning: Horizontal dimension numbers not found. Defaulting to (..., Y, X) order.\n", + " div = mcalc.divergence(u,v,dx=dx,dy=dy)\n", + "/tmp/ipykernel_35760/2727113271.py:10: UserWarning: More than one time coordinate present for variable \"UMET\".\n", + " div = mcalc.divergence(u,v,dx=dx,dy=dy)\n", + "/tmp/ipykernel_35760/2727113271.py:10: UserWarning: Horizontal dimension numbers not found. Defaulting to (..., Y, X) order.\n", + " div = mcalc.divergence(u,v,dx=dx,dy=dy)\n", + "/tmp/ipykernel_35760/2727113271.py:10: UserWarning: More than one time coordinate present for variable \"UMET\".\n", + " div = mcalc.divergence(u,v,dx=dx,dy=dy)\n", + "/tmp/ipykernel_35760/2727113271.py:10: UserWarning: Horizontal dimension numbers not found. Defaulting to (..., Y, X) order.\n", + " div = mcalc.divergence(u,v,dx=dx,dy=dy)\n", + "/tmp/ipykernel_35760/2727113271.py:10: UserWarning: More than one time coordinate present for variable \"UMET\".\n", + " div = mcalc.divergence(u,v,dx=dx,dy=dy)\n", + "/tmp/ipykernel_35760/2727113271.py:10: UserWarning: Horizontal dimension numbers not found. Defaulting to (..., Y, X) order.\n", + " div = mcalc.divergence(u,v,dx=dx,dy=dy)\n", + "/tmp/ipykernel_35760/2727113271.py:10: UserWarning: More than one time coordinate present for variable \"UMET\".\n", + " div = mcalc.divergence(u,v,dx=dx,dy=dy)\n", + "/tmp/ipykernel_35760/2727113271.py:10: UserWarning: Horizontal dimension numbers not found. Defaulting to (..., Y, X) order.\n", + " div = mcalc.divergence(u,v,dx=dx,dy=dy)\n", + "/tmp/ipykernel_35760/2727113271.py:10: UserWarning: More than one time coordinate present for variable \"UMET\".\n", + " div = mcalc.divergence(u,v,dx=dx,dy=dy)\n", + "/tmp/ipykernel_35760/2727113271.py:10: UserWarning: Horizontal dimension numbers not found. Defaulting to (..., Y, X) order.\n", + " div = mcalc.divergence(u,v,dx=dx,dy=dy)\n", + "/tmp/ipykernel_35760/2727113271.py:10: UserWarning: More than one time coordinate present for variable \"UMET\".\n", + " div = mcalc.divergence(u,v,dx=dx,dy=dy)\n", + "/tmp/ipykernel_35760/2727113271.py:10: UserWarning: Horizontal dimension numbers not found. Defaulting to (..., Y, X) order.\n", + " div = mcalc.divergence(u,v,dx=dx,dy=dy)\n", + "/tmp/ipykernel_35760/2727113271.py:10: UserWarning: More than one time coordinate present for variable \"UMET\".\n", + " div = mcalc.divergence(u,v,dx=dx,dy=dy)\n", + "/tmp/ipykernel_35760/2727113271.py:10: UserWarning: Horizontal dimension numbers not found. Defaulting to (..., Y, X) order.\n", + " div = mcalc.divergence(u,v,dx=dx,dy=dy)\n", + "/tmp/ipykernel_35760/2727113271.py:10: UserWarning: More than one time coordinate present for variable \"UMET\".\n", + " div = mcalc.divergence(u,v,dx=dx,dy=dy)\n", + "/tmp/ipykernel_35760/2727113271.py:10: UserWarning: Horizontal dimension numbers not found. Defaulting to (..., Y, X) order.\n", + " div = mcalc.divergence(u,v,dx=dx,dy=dy)\n", + "/tmp/ipykernel_35760/2727113271.py:10: UserWarning: More than one time coordinate present for variable \"UMET\".\n", + " div = mcalc.divergence(u,v,dx=dx,dy=dy)\n", + "/tmp/ipykernel_35760/2727113271.py:10: UserWarning: Horizontal dimension numbers not found. Defaulting to (..., Y, X) order.\n", + " div = mcalc.divergence(u,v,dx=dx,dy=dy)\n", + "/tmp/ipykernel_35760/2727113271.py:10: UserWarning: More than one time coordinate present for variable \"UMET\".\n", + " div = mcalc.divergence(u,v,dx=dx,dy=dy)\n", + "/tmp/ipykernel_35760/2727113271.py:10: UserWarning: Horizontal dimension numbers not found. Defaulting to (..., Y, X) order.\n", + " div = mcalc.divergence(u,v,dx=dx,dy=dy)\n", + "/tmp/ipykernel_35760/2727113271.py:10: UserWarning: More than one time coordinate present for variable \"UMET\".\n", + " div = mcalc.divergence(u,v,dx=dx,dy=dy)\n", + "/tmp/ipykernel_35760/2727113271.py:10: UserWarning: Horizontal dimension numbers not found. Defaulting to (..., Y, X) order.\n", + " div = mcalc.divergence(u,v,dx=dx,dy=dy)\n", + "/tmp/ipykernel_35760/2727113271.py:10: UserWarning: More than one time coordinate present for variable \"UMET\".\n", + " div = mcalc.divergence(u,v,dx=dx,dy=dy)\n", + "/tmp/ipykernel_35760/2727113271.py:10: UserWarning: Horizontal dimension numbers not found. Defaulting to (..., Y, X) order.\n", + " div = mcalc.divergence(u,v,dx=dx,dy=dy)\n", + "/tmp/ipykernel_35760/2727113271.py:10: UserWarning: More than one time coordinate present for variable \"UMET\".\n", + " div = mcalc.divergence(u,v,dx=dx,dy=dy)\n", + "/tmp/ipykernel_35760/2727113271.py:10: UserWarning: Horizontal dimension numbers not found. Defaulting to (..., Y, X) order.\n", + " div = mcalc.divergence(u,v,dx=dx,dy=dy)\n", + "/tmp/ipykernel_35760/2727113271.py:10: UserWarning: More than one time coordinate present for variable \"UMET\".\n", + " div = mcalc.divergence(u,v,dx=dx,dy=dy)\n", + "/tmp/ipykernel_35760/2727113271.py:10: UserWarning: Horizontal dimension numbers not found. Defaulting to (..., Y, X) order.\n", + " div = mcalc.divergence(u,v,dx=dx,dy=dy)\n", + "/tmp/ipykernel_35760/2727113271.py:10: UserWarning: More than one time coordinate present for variable \"UMET\".\n", + " div = mcalc.divergence(u,v,dx=dx,dy=dy)\n", + "/tmp/ipykernel_35760/2727113271.py:10: UserWarning: Horizontal dimension numbers not found. Defaulting to (..., Y, X) order.\n", + " div = mcalc.divergence(u,v,dx=dx,dy=dy)\n", + "/tmp/ipykernel_35760/2727113271.py:10: UserWarning: More than one time coordinate present for variable \"UMET\".\n", + " div = mcalc.divergence(u,v,dx=dx,dy=dy)\n", + "/tmp/ipykernel_35760/2727113271.py:10: UserWarning: Horizontal dimension numbers not found. Defaulting to (..., Y, X) order.\n", + " div = mcalc.divergence(u,v,dx=dx,dy=dy)\n", + "/tmp/ipykernel_35760/2727113271.py:10: UserWarning: More than one time coordinate present for variable \"UMET\".\n", + " div = mcalc.divergence(u,v,dx=dx,dy=dy)\n", + "/tmp/ipykernel_35760/2727113271.py:10: UserWarning: Horizontal dimension numbers not found. Defaulting to (..., Y, X) order.\n", + " div = mcalc.divergence(u,v,dx=dx,dy=dy)\n", + "/tmp/ipykernel_35760/2727113271.py:10: UserWarning: More than one time coordinate present for variable \"UMET\".\n", + " div = mcalc.divergence(u,v,dx=dx,dy=dy)\n", + "/tmp/ipykernel_35760/2727113271.py:10: UserWarning: Horizontal dimension numbers not found. Defaulting to (..., Y, X) order.\n", + " div = mcalc.divergence(u,v,dx=dx,dy=dy)\n", + "/tmp/ipykernel_35760/2727113271.py:10: UserWarning: More than one time coordinate present for variable \"UMET\".\n", + " div = mcalc.divergence(u,v,dx=dx,dy=dy)\n", + "/tmp/ipykernel_35760/2727113271.py:10: UserWarning: Horizontal dimension numbers not found. Defaulting to (..., Y, X) order.\n", + " div = mcalc.divergence(u,v,dx=dx,dy=dy)\n", + "/tmp/ipykernel_35760/2727113271.py:10: UserWarning: More than one time coordinate present for variable \"UMET\".\n", + " div = mcalc.divergence(u,v,dx=dx,dy=dy)\n", + "/tmp/ipykernel_35760/2727113271.py:10: UserWarning: Horizontal dimension numbers not found. Defaulting to (..., Y, X) order.\n", + " div = mcalc.divergence(u,v,dx=dx,dy=dy)\n", + "/tmp/ipykernel_35760/2727113271.py:10: UserWarning: More than one time coordinate present for variable \"UMET\".\n", + " div = mcalc.divergence(u,v,dx=dx,dy=dy)\n", + "/tmp/ipykernel_35760/2727113271.py:10: UserWarning: Horizontal dimension numbers not found. Defaulting to (..., Y, X) order.\n", + " div = mcalc.divergence(u,v,dx=dx,dy=dy)\n", + "/tmp/ipykernel_35760/2727113271.py:10: UserWarning: More than one time coordinate present for variable \"UMET\".\n", + " div = mcalc.divergence(u,v,dx=dx,dy=dy)\n", + "/tmp/ipykernel_35760/2727113271.py:10: UserWarning: Horizontal dimension numbers not found. Defaulting to (..., Y, X) order.\n", + " div = mcalc.divergence(u,v,dx=dx,dy=dy)\n", + "/tmp/ipykernel_35760/2727113271.py:10: UserWarning: More than one time coordinate present for variable \"UMET\".\n", + " div = mcalc.divergence(u,v,dx=dx,dy=dy)\n", + "/tmp/ipykernel_35760/2727113271.py:10: UserWarning: Horizontal dimension numbers not found. Defaulting to (..., Y, X) order.\n", + " div = mcalc.divergence(u,v,dx=dx,dy=dy)\n", + "/tmp/ipykernel_35760/2727113271.py:10: UserWarning: More than one time coordinate present for variable \"UMET\".\n", + " div = mcalc.divergence(u,v,dx=dx,dy=dy)\n", + "/tmp/ipykernel_35760/2727113271.py:10: UserWarning: Horizontal dimension numbers not found. Defaulting to (..., Y, X) order.\n", + " div = mcalc.divergence(u,v,dx=dx,dy=dy)\n", + "/tmp/ipykernel_35760/2727113271.py:10: UserWarning: More than one time coordinate present for variable \"UMET\".\n", + " div = mcalc.divergence(u,v,dx=dx,dy=dy)\n", + "/tmp/ipykernel_35760/2727113271.py:10: UserWarning: Horizontal dimension numbers not found. Defaulting to (..., Y, X) order.\n", + " div = mcalc.divergence(u,v,dx=dx,dy=dy)\n", + "/tmp/ipykernel_35760/2727113271.py:10: UserWarning: More than one time coordinate present for variable \"UMET\".\n", + " div = mcalc.divergence(u,v,dx=dx,dy=dy)\n", + "/tmp/ipykernel_35760/2727113271.py:10: UserWarning: Horizontal dimension numbers not found. Defaulting to (..., Y, X) order.\n", + " div = mcalc.divergence(u,v,dx=dx,dy=dy)\n", + "/tmp/ipykernel_35760/2727113271.py:10: UserWarning: More than one time coordinate present for variable \"UMET\".\n", + " div = mcalc.divergence(u,v,dx=dx,dy=dy)\n", + "/tmp/ipykernel_35760/2727113271.py:10: UserWarning: Horizontal dimension numbers not found. Defaulting to (..., Y, X) order.\n", + " div = mcalc.divergence(u,v,dx=dx,dy=dy)\n", + "/tmp/ipykernel_35760/2727113271.py:10: UserWarning: More than one time coordinate present for variable \"UMET\".\n", + " div = mcalc.divergence(u,v,dx=dx,dy=dy)\n", + "/tmp/ipykernel_35760/2727113271.py:10: UserWarning: Horizontal dimension numbers not found. Defaulting to (..., Y, X) order.\n", + " div = mcalc.divergence(u,v,dx=dx,dy=dy)\n", + "/tmp/ipykernel_35760/2727113271.py:10: UserWarning: More than one time coordinate present for variable \"UMET\".\n", + " div = mcalc.divergence(u,v,dx=dx,dy=dy)\n", + "/tmp/ipykernel_35760/2727113271.py:10: UserWarning: Horizontal dimension numbers not found. Defaulting to (..., Y, X) order.\n", + " div = mcalc.divergence(u,v,dx=dx,dy=dy)\n", + "/tmp/ipykernel_35760/2727113271.py:10: UserWarning: More than one time coordinate present for variable \"UMET\".\n", + " div = mcalc.divergence(u,v,dx=dx,dy=dy)\n", + "/tmp/ipykernel_35760/2727113271.py:10: UserWarning: Horizontal dimension numbers not found. Defaulting to (..., Y, X) order.\n", + " div = mcalc.divergence(u,v,dx=dx,dy=dy)\n", + "/tmp/ipykernel_35760/2727113271.py:10: UserWarning: More than one time coordinate present for variable \"UMET\".\n", + " div = mcalc.divergence(u,v,dx=dx,dy=dy)\n", + "/tmp/ipykernel_35760/2727113271.py:10: UserWarning: Horizontal dimension numbers not found. Defaulting to (..., Y, X) order.\n", + " div = mcalc.divergence(u,v,dx=dx,dy=dy)\n", + "/tmp/ipykernel_35760/2727113271.py:10: UserWarning: More than one time coordinate present for variable \"UMET\".\n", + " div = mcalc.divergence(u,v,dx=dx,dy=dy)\n", + "/tmp/ipykernel_35760/2727113271.py:10: UserWarning: Horizontal dimension numbers not found. Defaulting to (..., Y, X) order.\n", + " div = mcalc.divergence(u,v,dx=dx,dy=dy)\n", + "/tmp/ipykernel_35760/2727113271.py:10: UserWarning: More than one time coordinate present for variable \"UMET\".\n", + " div = mcalc.divergence(u,v,dx=dx,dy=dy)\n", + "/tmp/ipykernel_35760/2727113271.py:10: UserWarning: Horizontal dimension numbers not found. Defaulting to (..., Y, X) order.\n", + " div = mcalc.divergence(u,v,dx=dx,dy=dy)\n", + "/tmp/ipykernel_35760/2727113271.py:10: UserWarning: More than one time coordinate present for variable \"UMET\".\n", + " div = mcalc.divergence(u,v,dx=dx,dy=dy)\n", + "/tmp/ipykernel_35760/2727113271.py:10: UserWarning: Horizontal dimension numbers not found. Defaulting to (..., Y, X) order.\n", + " div = mcalc.divergence(u,v,dx=dx,dy=dy)\n", + "/tmp/ipykernel_35760/2727113271.py:10: UserWarning: More than one time coordinate present for variable \"UMET\".\n", + " div = mcalc.divergence(u,v,dx=dx,dy=dy)\n", + "/tmp/ipykernel_35760/2727113271.py:10: UserWarning: Horizontal dimension numbers not found. Defaulting to (..., Y, X) order.\n", + " div = mcalc.divergence(u,v,dx=dx,dy=dy)\n", + "/tmp/ipykernel_35760/2727113271.py:10: UserWarning: More than one time coordinate present for variable \"UMET\".\n", + " div = mcalc.divergence(u,v,dx=dx,dy=dy)\n", + "/tmp/ipykernel_35760/2727113271.py:10: UserWarning: Horizontal dimension numbers not found. Defaulting to (..., Y, X) order.\n", + " div = mcalc.divergence(u,v,dx=dx,dy=dy)\n", + "/tmp/ipykernel_35760/2727113271.py:10: UserWarning: More than one time coordinate present for variable \"UMET\".\n", + " div = mcalc.divergence(u,v,dx=dx,dy=dy)\n", + "/tmp/ipykernel_35760/2727113271.py:10: UserWarning: Horizontal dimension numbers not found. Defaulting to (..., Y, X) order.\n", + " div = mcalc.divergence(u,v,dx=dx,dy=dy)\n", + "/tmp/ipykernel_35760/2727113271.py:10: UserWarning: More than one time coordinate present for variable \"UMET\".\n", + " div = mcalc.divergence(u,v,dx=dx,dy=dy)\n", + "/tmp/ipykernel_35760/2727113271.py:10: UserWarning: Horizontal dimension numbers not found. Defaulting to (..., Y, X) order.\n", + " div = mcalc.divergence(u,v,dx=dx,dy=dy)\n", + "/tmp/ipykernel_35760/2727113271.py:10: UserWarning: More than one time coordinate present for variable \"UMET\".\n", + " div = mcalc.divergence(u,v,dx=dx,dy=dy)\n", + "/tmp/ipykernel_35760/2727113271.py:10: UserWarning: Horizontal dimension numbers not found. Defaulting to (..., Y, X) order.\n", + " div = mcalc.divergence(u,v,dx=dx,dy=dy)\n", + "/tmp/ipykernel_35760/2727113271.py:10: UserWarning: More than one time coordinate present for variable \"UMET\".\n", + " div = mcalc.divergence(u,v,dx=dx,dy=dy)\n", + "/tmp/ipykernel_35760/2727113271.py:10: UserWarning: Horizontal dimension numbers not found. Defaulting to (..., Y, X) order.\n", + " div = mcalc.divergence(u,v,dx=dx,dy=dy)\n", + "/tmp/ipykernel_35760/2727113271.py:10: UserWarning: More than one time coordinate present for variable \"UMET\".\n", + " div = mcalc.divergence(u,v,dx=dx,dy=dy)\n", + "/tmp/ipykernel_35760/2727113271.py:10: UserWarning: Horizontal dimension numbers not found. Defaulting to (..., Y, X) order.\n", + " div = mcalc.divergence(u,v,dx=dx,dy=dy)\n", + "/tmp/ipykernel_35760/2727113271.py:10: UserWarning: More than one time coordinate present for variable \"UMET\".\n", + " div = mcalc.divergence(u,v,dx=dx,dy=dy)\n", + "/tmp/ipykernel_35760/2727113271.py:10: UserWarning: Horizontal dimension numbers not found. Defaulting to (..., Y, X) order.\n", + " div = mcalc.divergence(u,v,dx=dx,dy=dy)\n", + "/tmp/ipykernel_35760/2727113271.py:10: UserWarning: More than one time coordinate present for variable \"UMET\".\n", + " div = mcalc.divergence(u,v,dx=dx,dy=dy)\n", + "/tmp/ipykernel_35760/2727113271.py:10: UserWarning: Horizontal dimension numbers not found. Defaulting to (..., Y, X) order.\n", + " div = mcalc.divergence(u,v,dx=dx,dy=dy)\n", + "/tmp/ipykernel_35760/2727113271.py:10: UserWarning: More than one time coordinate present for variable \"UMET\".\n", + " div = mcalc.divergence(u,v,dx=dx,dy=dy)\n", + "/tmp/ipykernel_35760/2727113271.py:10: UserWarning: Horizontal dimension numbers not found. Defaulting to (..., Y, X) order.\n", + " div = mcalc.divergence(u,v,dx=dx,dy=dy)\n", + "/tmp/ipykernel_35760/2727113271.py:10: UserWarning: More than one time coordinate present for variable \"UMET\".\n", + " div = mcalc.divergence(u,v,dx=dx,dy=dy)\n", + "/tmp/ipykernel_35760/2727113271.py:10: UserWarning: Horizontal dimension numbers not found. Defaulting to (..., Y, X) order.\n", + " div = mcalc.divergence(u,v,dx=dx,dy=dy)\n", + "/tmp/ipykernel_35760/2727113271.py:10: UserWarning: More than one time coordinate present for variable \"UMET\".\n", + " div = mcalc.divergence(u,v,dx=dx,dy=dy)\n", + "/tmp/ipykernel_35760/2727113271.py:10: UserWarning: Horizontal dimension numbers not found. Defaulting to (..., Y, X) order.\n", + " div = mcalc.divergence(u,v,dx=dx,dy=dy)\n", + "/tmp/ipykernel_35760/2727113271.py:10: UserWarning: More than one time coordinate present for variable \"UMET\".\n", + " div = mcalc.divergence(u,v,dx=dx,dy=dy)\n", + "/tmp/ipykernel_35760/2727113271.py:10: UserWarning: Horizontal dimension numbers not found. Defaulting to (..., Y, X) order.\n", + " div = mcalc.divergence(u,v,dx=dx,dy=dy)\n", + "/tmp/ipykernel_35760/2727113271.py:10: UserWarning: More than one time coordinate present for variable \"UMET\".\n", + " div = mcalc.divergence(u,v,dx=dx,dy=dy)\n", + "/tmp/ipykernel_35760/2727113271.py:10: UserWarning: Horizontal dimension numbers not found. Defaulting to (..., Y, X) order.\n", + " div = mcalc.divergence(u,v,dx=dx,dy=dy)\n", + "/tmp/ipykernel_35760/2727113271.py:10: UserWarning: More than one time coordinate present for variable \"UMET\".\n", + " div = mcalc.divergence(u,v,dx=dx,dy=dy)\n", + "/tmp/ipykernel_35760/2727113271.py:10: UserWarning: Horizontal dimension numbers not found. Defaulting to (..., Y, X) order.\n", + " div = mcalc.divergence(u,v,dx=dx,dy=dy)\n", + "/tmp/ipykernel_35760/2727113271.py:10: UserWarning: More than one time coordinate present for variable \"UMET\".\n", + " div = mcalc.divergence(u,v,dx=dx,dy=dy)\n", + "/tmp/ipykernel_35760/2727113271.py:10: UserWarning: Horizontal dimension numbers not found. Defaulting to (..., Y, X) order.\n", + " div = mcalc.divergence(u,v,dx=dx,dy=dy)\n", + "/tmp/ipykernel_35760/2727113271.py:10: UserWarning: More than one time coordinate present for variable \"UMET\".\n", + " div = mcalc.divergence(u,v,dx=dx,dy=dy)\n", + "/tmp/ipykernel_35760/2727113271.py:10: UserWarning: Horizontal dimension numbers not found. Defaulting to (..., Y, X) order.\n", + " div = mcalc.divergence(u,v,dx=dx,dy=dy)\n" + ] + } + ], + "source": [ + "dx = 100 * units('m')\n", + "dy = 100 * units('m')\n", + "\n", + "divergence = np.zeros((u_all.shape[0], u_all.shape[1], u_all.shape[2]))\n", + "\n", + "for t in np.arange(0, u_all.shape[0], 1): \n", + " u = u_all[t,:,:] * units('m/s')\n", + " v = v_all[t,:,:] * units('m/s')\n", + " \n", + " div = mcalc.divergence(u,v,dx=dx,dy=dy)\n", + " divergence[t,:,:] = div.values" + ] + }, + { + "cell_type": "code", + "execution_count": 190, + "id": "6ea69b8d-26e3-475e-a57c-d81d5c33aa8a", + "metadata": {}, + "outputs": [], + "source": [ + "ds[\"Divergence\"]=(['Time', 'south_north', 'west_east'], divergence)" + ] + }, + { + "cell_type": "code", + "execution_count": 198, + "id": "3a528bea-4026-43c4-94b6-40a6d9b8d4e7", + "metadata": {}, + "outputs": [ + { + "data": { + "text/html": [ + "
\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "
<xarray.Dataset> Size: 431GB\n",
+       "Dimensions:               (Time: 73, south_north: 865, west_east: 750,\n",
+       "                           bottom_top: 149)\n",
+       "Coordinates:\n",
+       "  * Time                  (Time) datetime64[ns] 584B 2019-01-29T06:00:00 ... ...\n",
+       "    XLONG                 (south_north, west_east) float32 3MB dask.array<chunksize=(865, 750), meta=np.ndarray>\n",
+       "    XLAT                  (south_north, west_east) float32 3MB dask.array<chunksize=(865, 750), meta=np.ndarray>\n",
+       "    XTIME                 (Time) float32 292B dask.array<chunksize=(1,), meta=np.ndarray>\n",
+       "Dimensions without coordinates: south_north, west_east, bottom_top\n",
+       "Data variables: (12/53)\n",
+       "    ITIMESTEP             (Time) int32 292B dask.array<chunksize=(1,), meta=np.ndarray>\n",
+       "    MUTOT                 (Time, south_north, west_east) float32 189MB dask.array<chunksize=(1, 865, 750), meta=np.ndarray>\n",
+       "    HGT                   (Time, south_north, west_east) float32 189MB dask.array<chunksize=(1, 865, 750), meta=np.ndarray>\n",
+       "    HAMSL                 (Time, bottom_top, south_north, west_east) float32 28GB dask.array<chunksize=(1, 50, 289, 250), meta=np.ndarray>\n",
+       "    P_HYD                 (Time, bottom_top, south_north, west_east) float32 28GB dask.array<chunksize=(1, 50, 289, 250), meta=np.ndarray>\n",
+       "    PRESSURE              (Time, bottom_top, south_north, west_east) float32 28GB dask.array<chunksize=(1, 50, 289, 250), meta=np.ndarray>\n",
+       "    ...                    ...\n",
+       "    MULNB                 (Time, south_north, west_east) float32 189MB dask.array<chunksize=(1, 865, 750), meta=np.ndarray>\n",
+       "    MULPL                 (Time, south_north, west_east) float32 189MB dask.array<chunksize=(1, 865, 750), meta=np.ndarray>\n",
+       "    MUCAPE                (Time, south_north, west_east) float32 189MB dask.array<chunksize=(1, 865, 750), meta=np.ndarray>\n",
+       "    MUCIN                 (Time, south_north, west_east) float32 189MB dask.array<chunksize=(1, 865, 750), meta=np.ndarray>\n",
+       "    REFL_10CM_MAX         (Time, south_north, west_east) float32 189MB dask.array<chunksize=(1, 865, 750), meta=np.ndarray>\n",
+       "    Divergence            (Time, south_north, west_east) float64 379MB -0.001...\n",
+       "Attributes: (12/39)\n",
+       "    DX:                          500.0\n",
+       "    DY:                          500.0\n",
+       "    SIMULATION_START_DATE:       2019-01-29_06:00:00\n",
+       "    WEST-EAST_GRID_DIMENSION:    751\n",
+       "    SOUTH-NORTH_GRID_DIMENSION:  866\n",
+       "    BOTTOM-TOP_GRID_DIMENSION:   150\n",
+       "    ...                          ...\n",
+       "    doi_isPartOf_lasso-cacti:    https://doi.org/10.5439/1905789\n",
+       "    doi_isDocumentedBy:          https://doi.org/10.2172/1905845\n",
+       "    doi_thisFileType:            https://doi.org/10.5439/1905819\n",
+       "    history:                     processed by user d3m088 on machine cirrus89...\n",
+       "    filename_user:               corlasso_met_2019012900eda09d3_base_M1.m1.20...\n",
+       "    filename_storage:            corlassomet2019012900eda09d3baseM1.m1.201901...
" + ], + "text/plain": [ + " Size: 431GB\n", + "Dimensions: (Time: 73, south_north: 865, west_east: 750,\n", + " bottom_top: 149)\n", + "Coordinates:\n", + " * Time (Time) datetime64[ns] 584B 2019-01-29T06:00:00 ... ...\n", + " XLONG (south_north, west_east) float32 3MB dask.array\n", + " XLAT (south_north, west_east) float32 3MB dask.array\n", + " XTIME (Time) float32 292B dask.array\n", + "Dimensions without coordinates: south_north, west_east, bottom_top\n", + "Data variables: (12/53)\n", + " ITIMESTEP (Time) int32 292B dask.array\n", + " MUTOT (Time, south_north, west_east) float32 189MB dask.array\n", + " HGT (Time, south_north, west_east) float32 189MB dask.array\n", + " HAMSL (Time, bottom_top, south_north, west_east) float32 28GB dask.array\n", + " P_HYD (Time, bottom_top, south_north, west_east) float32 28GB dask.array\n", + " PRESSURE (Time, bottom_top, south_north, west_east) float32 28GB dask.array\n", + " ... ...\n", + " MULNB (Time, south_north, west_east) float32 189MB dask.array\n", + " MULPL (Time, south_north, west_east) float32 189MB dask.array\n", + " MUCAPE (Time, south_north, west_east) float32 189MB dask.array\n", + " MUCIN (Time, south_north, west_east) float32 189MB dask.array\n", + " REFL_10CM_MAX (Time, south_north, west_east) float32 189MB dask.array\n", + " Divergence (Time, south_north, west_east) float64 379MB -0.001...\n", + "Attributes: (12/39)\n", + " DX: 500.0\n", + " DY: 500.0\n", + " SIMULATION_START_DATE: 2019-01-29_06:00:00\n", + " WEST-EAST_GRID_DIMENSION: 751\n", + " SOUTH-NORTH_GRID_DIMENSION: 866\n", + " BOTTOM-TOP_GRID_DIMENSION: 150\n", + " ... ...\n", + " doi_isPartOf_lasso-cacti: https://doi.org/10.5439/1905789\n", + " doi_isDocumentedBy: https://doi.org/10.2172/1905845\n", + " doi_thisFileType: https://doi.org/10.5439/1905819\n", + " history: processed by user d3m088 on machine cirrus89...\n", + " filename_user: corlasso_met_2019012900eda09d3_base_M1.m1.20...\n", + " filename_storage: corlassomet2019012900eda09d3baseM1.m1.201901..." + ] + }, + "execution_count": 198, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "ds" + ] + }, + { + "cell_type": "code", + "execution_count": 195, + "id": "0c12ba74-6241-447d-a02f-28d66d8001bb", + "metadata": {}, + "outputs": [ + { + "data": { + "application/javascript": [ + "(function(root) {\n", + " function now() {\n", + " return new Date();\n", + " }\n", + "\n", + " var force = true;\n", + " var py_version = '3.4.1'.replace('rc', '-rc.').replace('.dev', '-dev.');\n", + " var reloading = false;\n", + " var Bokeh = root.Bokeh;\n", + "\n", + " if (typeof (root._bokeh_timeout) === \"undefined\" || force) {\n", + " root._bokeh_timeout = Date.now() + 5000;\n", + " root._bokeh_failed_load = false;\n", + " }\n", + "\n", + " function run_callbacks() {\n", + " try {\n", + " root._bokeh_onload_callbacks.forEach(function(callback) {\n", + " if (callback != null)\n", + " callback();\n", + " });\n", + " } finally {\n", + " delete root._bokeh_onload_callbacks;\n", + " }\n", + " console.debug(\"Bokeh: all callbacks have finished\");\n", + " }\n", + "\n", + " function load_libs(css_urls, js_urls, js_modules, js_exports, callback) {\n", + " if (css_urls == null) css_urls = [];\n", + " if (js_urls == null) js_urls = [];\n", + " if (js_modules == null) js_modules = [];\n", + " if (js_exports == null) js_exports = {};\n", + "\n", + " root._bokeh_onload_callbacks.push(callback);\n", + "\n", + " if (root._bokeh_is_loading > 0) {\n", + " console.debug(\"Bokeh: BokehJS is being loaded, scheduling callback at\", now());\n", + " return null;\n", + " }\n", + " if (js_urls.length === 0 && js_modules.length === 0 && Object.keys(js_exports).length === 0) {\n", + " run_callbacks();\n", + " return null;\n", + " }\n", + " if (!reloading) {\n", + " console.debug(\"Bokeh: BokehJS not loaded, scheduling load and callback at\", now());\n", + " }\n", + "\n", + " function on_load() {\n", + " root._bokeh_is_loading--;\n", + " if (root._bokeh_is_loading === 0) {\n", + " console.debug(\"Bokeh: all BokehJS libraries/stylesheets loaded\");\n", + " run_callbacks()\n", + " }\n", + " }\n", + " window._bokeh_on_load = on_load\n", + "\n", + " function on_error() {\n", + " console.error(\"failed to load \" + url);\n", + " }\n", + "\n", + " var skip = [];\n", + " if (window.requirejs) {\n", + " window.requirejs.config({'packages': {}, 'paths': {}, 'shim': {}});\n", + " root._bokeh_is_loading = css_urls.length + 0;\n", + " } else {\n", + " root._bokeh_is_loading = css_urls.length + js_urls.length + js_modules.length + Object.keys(js_exports).length;\n", + " }\n", + "\n", + " var existing_stylesheets = []\n", + " var links = document.getElementsByTagName('link')\n", + " for (var i = 0; i < links.length; i++) {\n", + " var link = links[i]\n", + " if (link.href != null) {\n", + "\texisting_stylesheets.push(link.href)\n", + " }\n", + " }\n", + " for (var i = 0; i < css_urls.length; i++) {\n", + " var url = css_urls[i];\n", + " if (existing_stylesheets.indexOf(url) !== -1) {\n", + "\ton_load()\n", + "\tcontinue;\n", + " }\n", + " const element = document.createElement(\"link\");\n", + " element.onload = on_load;\n", + " element.onerror = on_error;\n", + " element.rel = \"stylesheet\";\n", + " element.type = \"text/css\";\n", + " element.href = url;\n", + " console.debug(\"Bokeh: injecting link tag for BokehJS stylesheet: \", url);\n", + " document.body.appendChild(element);\n", + " } var existing_scripts = []\n", + " var scripts = document.getElementsByTagName('script')\n", + " for (var i = 0; i < scripts.length; i++) {\n", + " var script = scripts[i]\n", + " if (script.src != null) {\n", + "\texisting_scripts.push(script.src)\n", + " }\n", + " }\n", + " for (var i = 0; i < js_urls.length; i++) {\n", + " var url = js_urls[i];\n", + " if (skip.indexOf(url) !== -1 || existing_scripts.indexOf(url) !== -1) {\n", + "\tif (!window.requirejs) {\n", + "\t on_load();\n", + "\t}\n", + "\tcontinue;\n", + " }\n", + " var element = document.createElement('script');\n", + " element.onload = on_load;\n", + " element.onerror = on_error;\n", + " element.async = false;\n", + " element.src = url;\n", + " console.debug(\"Bokeh: injecting script tag for BokehJS library: \", url);\n", + " document.head.appendChild(element);\n", + " }\n", + " for (var i = 0; i < js_modules.length; i++) {\n", + " var url = js_modules[i];\n", + " if (skip.indexOf(url) !== -1 || existing_scripts.indexOf(url) !== -1) {\n", + "\tif (!window.requirejs) {\n", + "\t on_load();\n", + "\t}\n", + "\tcontinue;\n", + " }\n", + " var element = document.createElement('script');\n", + " element.onload = on_load;\n", + " element.onerror = on_error;\n", + " element.async = false;\n", + " element.src = url;\n", + " element.type = \"module\";\n", + " console.debug(\"Bokeh: injecting script tag for BokehJS library: \", url);\n", + " document.head.appendChild(element);\n", + " }\n", + " for (const name in js_exports) {\n", + " var url = js_exports[name];\n", + " if (skip.indexOf(url) >= 0 || root[name] != null) {\n", + "\tif (!window.requirejs) {\n", + "\t on_load();\n", + "\t}\n", + "\tcontinue;\n", + " }\n", + " var element = document.createElement('script');\n", + " element.onerror = on_error;\n", + " element.async = false;\n", + " element.type = \"module\";\n", + " console.debug(\"Bokeh: injecting script tag for BokehJS library: \", url);\n", + " element.textContent = `\n", + " import ${name} from \"${url}\"\n", + " window.${name} = ${name}\n", + " window._bokeh_on_load()\n", + " `\n", + " document.head.appendChild(element);\n", + " }\n", + " if (!js_urls.length && !js_modules.length) {\n", + " on_load()\n", + " }\n", + " };\n", + "\n", + " function inject_raw_css(css) {\n", + " const element = document.createElement(\"style\");\n", + " element.appendChild(document.createTextNode(css));\n", + " document.body.appendChild(element);\n", + " }\n", + "\n", + " var js_urls = [\"https://cdn.bokeh.org/bokeh/release/bokeh-3.4.1.min.js\", \"https://cdn.bokeh.org/bokeh/release/bokeh-gl-3.4.1.min.js\", \"https://cdn.bokeh.org/bokeh/release/bokeh-widgets-3.4.1.min.js\", \"https://cdn.bokeh.org/bokeh/release/bokeh-tables-3.4.1.min.js\", \"https://cdn.holoviz.org/panel/1.4.2/dist/panel.min.js\"];\n", + " var js_modules = [];\n", + " var js_exports = {};\n", + " var css_urls = [];\n", + " var inline_js = [ function(Bokeh) {\n", + " Bokeh.set_log_level(\"info\");\n", + " },\n", + "function(Bokeh) {} // ensure no trailing comma for IE\n", + " ];\n", + "\n", + " function run_inline_js() {\n", + " if ((root.Bokeh !== undefined) || (force === true)) {\n", + " for (var i = 0; i < inline_js.length; i++) {\n", + "\ttry {\n", + " inline_js[i].call(root, root.Bokeh);\n", + "\t} catch(e) {\n", + "\t if (!reloading) {\n", + "\t throw e;\n", + "\t }\n", + "\t}\n", + " }\n", + " // Cache old bokeh versions\n", + " if (Bokeh != undefined && !reloading) {\n", + "\tvar NewBokeh = root.Bokeh;\n", + "\tif (Bokeh.versions === undefined) {\n", + "\t Bokeh.versions = new Map();\n", + "\t}\n", + "\tif (NewBokeh.version !== Bokeh.version) {\n", + "\t Bokeh.versions.set(NewBokeh.version, NewBokeh)\n", + "\t}\n", + "\troot.Bokeh = Bokeh;\n", + " }} else if (Date.now() < root._bokeh_timeout) {\n", + " setTimeout(run_inline_js, 100);\n", + " } else if (!root._bokeh_failed_load) {\n", + " console.log(\"Bokeh: BokehJS failed to load within specified timeout.\");\n", + " root._bokeh_failed_load = true;\n", + " }\n", + " root._bokeh_is_initializing = false\n", + " }\n", + "\n", + " function load_or_wait() {\n", + " // Implement a backoff loop that tries to ensure we do not load multiple\n", + " // versions of Bokeh and its dependencies at the same time.\n", + " // In recent versions we use the root._bokeh_is_initializing flag\n", + " // to determine whether there is an ongoing attempt to initialize\n", + " // bokeh, however for backward compatibility we also try to ensure\n", + " // that we do not start loading a newer (Panel>=1.0 and Bokeh>3) version\n", + " // before older versions are fully initialized.\n", + " if (root._bokeh_is_initializing && Date.now() > root._bokeh_timeout) {\n", + " root._bokeh_is_initializing = false;\n", + " root._bokeh_onload_callbacks = undefined;\n", + " console.log(\"Bokeh: BokehJS was loaded multiple times but one version failed to initialize.\");\n", + " load_or_wait();\n", + " } else if (root._bokeh_is_initializing || (typeof root._bokeh_is_initializing === \"undefined\" && root._bokeh_onload_callbacks !== undefined)) {\n", + " setTimeout(load_or_wait, 100);\n", + " } else {\n", + " root._bokeh_is_initializing = true\n", + " root._bokeh_onload_callbacks = []\n", + " var bokeh_loaded = Bokeh != null && (Bokeh.version === py_version || (Bokeh.versions !== undefined && Bokeh.versions.has(py_version)));\n", + " if (!reloading && !bokeh_loaded) {\n", + "\troot.Bokeh = undefined;\n", + " }\n", + " load_libs(css_urls, js_urls, js_modules, js_exports, function() {\n", + "\tconsole.debug(\"Bokeh: BokehJS plotting callback run at\", now());\n", + "\trun_inline_js();\n", + " });\n", + " }\n", + " }\n", + " // Give older versions of the autoload script a head-start to ensure\n", + " // they initialize before we start loading newer version.\n", + " setTimeout(load_or_wait, 100)\n", + "}(window));" + ], + "application/vnd.holoviews_load.v0+json": "(function(root) {\n function now() {\n return new Date();\n }\n\n var force = true;\n var py_version = '3.4.1'.replace('rc', '-rc.').replace('.dev', '-dev.');\n var reloading = false;\n var Bokeh = root.Bokeh;\n\n if (typeof (root._bokeh_timeout) === \"undefined\" || force) {\n root._bokeh_timeout = Date.now() + 5000;\n root._bokeh_failed_load = false;\n }\n\n function run_callbacks() {\n try {\n root._bokeh_onload_callbacks.forEach(function(callback) {\n if (callback != null)\n callback();\n });\n } finally {\n delete root._bokeh_onload_callbacks;\n }\n console.debug(\"Bokeh: all callbacks have finished\");\n }\n\n function load_libs(css_urls, js_urls, js_modules, js_exports, callback) {\n if (css_urls == null) css_urls = [];\n if (js_urls == null) js_urls = [];\n if (js_modules == null) js_modules = [];\n if (js_exports == null) js_exports = {};\n\n root._bokeh_onload_callbacks.push(callback);\n\n if (root._bokeh_is_loading > 0) {\n console.debug(\"Bokeh: BokehJS is being loaded, scheduling callback at\", now());\n return null;\n }\n if (js_urls.length === 0 && js_modules.length === 0 && Object.keys(js_exports).length === 0) {\n run_callbacks();\n return null;\n }\n if (!reloading) {\n console.debug(\"Bokeh: BokehJS not loaded, scheduling load and callback at\", now());\n }\n\n function on_load() {\n root._bokeh_is_loading--;\n if (root._bokeh_is_loading === 0) {\n console.debug(\"Bokeh: all BokehJS libraries/stylesheets loaded\");\n run_callbacks()\n }\n }\n window._bokeh_on_load = on_load\n\n function on_error() {\n console.error(\"failed to load \" + url);\n }\n\n var skip = [];\n if (window.requirejs) {\n window.requirejs.config({'packages': {}, 'paths': {}, 'shim': {}});\n root._bokeh_is_loading = css_urls.length + 0;\n } else {\n root._bokeh_is_loading = css_urls.length + js_urls.length + js_modules.length + Object.keys(js_exports).length;\n }\n\n var existing_stylesheets = []\n var links = document.getElementsByTagName('link')\n for (var i = 0; i < links.length; i++) {\n var link = links[i]\n if (link.href != null) {\n\texisting_stylesheets.push(link.href)\n }\n }\n for (var i = 0; i < css_urls.length; i++) {\n var url = css_urls[i];\n if (existing_stylesheets.indexOf(url) !== -1) {\n\ton_load()\n\tcontinue;\n }\n const element = document.createElement(\"link\");\n element.onload = on_load;\n element.onerror = on_error;\n element.rel = \"stylesheet\";\n element.type = \"text/css\";\n element.href = url;\n console.debug(\"Bokeh: injecting link tag for BokehJS stylesheet: \", url);\n document.body.appendChild(element);\n } var existing_scripts = []\n var scripts = document.getElementsByTagName('script')\n for (var i = 0; i < scripts.length; i++) {\n var script = scripts[i]\n if (script.src != null) {\n\texisting_scripts.push(script.src)\n }\n }\n for (var i = 0; i < js_urls.length; i++) {\n var url = js_urls[i];\n if (skip.indexOf(url) !== -1 || existing_scripts.indexOf(url) !== -1) {\n\tif (!window.requirejs) {\n\t on_load();\n\t}\n\tcontinue;\n }\n var element = document.createElement('script');\n element.onload = on_load;\n element.onerror = on_error;\n element.async = false;\n element.src = url;\n console.debug(\"Bokeh: injecting script tag for BokehJS library: \", url);\n document.head.appendChild(element);\n }\n for (var i = 0; i < js_modules.length; i++) {\n var url = js_modules[i];\n if (skip.indexOf(url) !== -1 || existing_scripts.indexOf(url) !== -1) {\n\tif (!window.requirejs) {\n\t on_load();\n\t}\n\tcontinue;\n }\n var element = document.createElement('script');\n element.onload = on_load;\n element.onerror = on_error;\n element.async = false;\n element.src = url;\n element.type = \"module\";\n console.debug(\"Bokeh: injecting script tag for BokehJS library: \", url);\n document.head.appendChild(element);\n }\n for (const name in js_exports) {\n var url = js_exports[name];\n if (skip.indexOf(url) >= 0 || root[name] != null) {\n\tif (!window.requirejs) {\n\t on_load();\n\t}\n\tcontinue;\n }\n var element = document.createElement('script');\n element.onerror = on_error;\n element.async = false;\n element.type = \"module\";\n console.debug(\"Bokeh: injecting script tag for BokehJS library: \", url);\n element.textContent = `\n import ${name} from \"${url}\"\n window.${name} = ${name}\n window._bokeh_on_load()\n `\n document.head.appendChild(element);\n }\n if (!js_urls.length && !js_modules.length) {\n on_load()\n }\n };\n\n function inject_raw_css(css) {\n const element = document.createElement(\"style\");\n element.appendChild(document.createTextNode(css));\n document.body.appendChild(element);\n }\n\n var js_urls = [\"https://cdn.bokeh.org/bokeh/release/bokeh-3.4.1.min.js\", \"https://cdn.bokeh.org/bokeh/release/bokeh-gl-3.4.1.min.js\", \"https://cdn.bokeh.org/bokeh/release/bokeh-widgets-3.4.1.min.js\", \"https://cdn.bokeh.org/bokeh/release/bokeh-tables-3.4.1.min.js\", \"https://cdn.holoviz.org/panel/1.4.2/dist/panel.min.js\"];\n var js_modules = [];\n var js_exports = {};\n var css_urls = [];\n var inline_js = [ function(Bokeh) {\n Bokeh.set_log_level(\"info\");\n },\nfunction(Bokeh) {} // ensure no trailing comma for IE\n ];\n\n function run_inline_js() {\n if ((root.Bokeh !== undefined) || (force === true)) {\n for (var i = 0; i < inline_js.length; i++) {\n\ttry {\n inline_js[i].call(root, root.Bokeh);\n\t} catch(e) {\n\t if (!reloading) {\n\t throw e;\n\t }\n\t}\n }\n // Cache old bokeh versions\n if (Bokeh != undefined && !reloading) {\n\tvar NewBokeh = root.Bokeh;\n\tif (Bokeh.versions === undefined) {\n\t Bokeh.versions = new Map();\n\t}\n\tif (NewBokeh.version !== Bokeh.version) {\n\t Bokeh.versions.set(NewBokeh.version, NewBokeh)\n\t}\n\troot.Bokeh = Bokeh;\n }} else if (Date.now() < root._bokeh_timeout) {\n setTimeout(run_inline_js, 100);\n } else if (!root._bokeh_failed_load) {\n console.log(\"Bokeh: BokehJS failed to load within specified timeout.\");\n root._bokeh_failed_load = true;\n }\n root._bokeh_is_initializing = false\n }\n\n function load_or_wait() {\n // Implement a backoff loop that tries to ensure we do not load multiple\n // versions of Bokeh and its dependencies at the same time.\n // In recent versions we use the root._bokeh_is_initializing flag\n // to determine whether there is an ongoing attempt to initialize\n // bokeh, however for backward compatibility we also try to ensure\n // that we do not start loading a newer (Panel>=1.0 and Bokeh>3) version\n // before older versions are fully initialized.\n if (root._bokeh_is_initializing && Date.now() > root._bokeh_timeout) {\n root._bokeh_is_initializing = false;\n root._bokeh_onload_callbacks = undefined;\n console.log(\"Bokeh: BokehJS was loaded multiple times but one version failed to initialize.\");\n load_or_wait();\n } else if (root._bokeh_is_initializing || (typeof root._bokeh_is_initializing === \"undefined\" && root._bokeh_onload_callbacks !== undefined)) {\n setTimeout(load_or_wait, 100);\n } else {\n root._bokeh_is_initializing = true\n root._bokeh_onload_callbacks = []\n var bokeh_loaded = Bokeh != null && (Bokeh.version === py_version || (Bokeh.versions !== undefined && Bokeh.versions.has(py_version)));\n if (!reloading && !bokeh_loaded) {\n\troot.Bokeh = undefined;\n }\n load_libs(css_urls, js_urls, js_modules, js_exports, function() {\n\tconsole.debug(\"Bokeh: BokehJS plotting callback run at\", now());\n\trun_inline_js();\n });\n }\n }\n // Give older versions of the autoload script a head-start to ensure\n // they initialize before we start loading newer version.\n setTimeout(load_or_wait, 100)\n}(window));" + }, + "metadata": {}, + "output_type": "display_data" + }, + { + "data": { + "application/javascript": [ + "\n", + "if ((window.PyViz === undefined) || (window.PyViz instanceof HTMLElement)) {\n", + " window.PyViz = {comms: {}, comm_status:{}, kernels:{}, receivers: {}, plot_index: []}\n", + "}\n", + "\n", + "\n", + " function JupyterCommManager() {\n", + " }\n", + "\n", + " JupyterCommManager.prototype.register_target = function(plot_id, comm_id, msg_handler) {\n", + " if (window.comm_manager || ((window.Jupyter !== undefined) && (Jupyter.notebook.kernel != null))) {\n", + " var comm_manager = window.comm_manager || Jupyter.notebook.kernel.comm_manager;\n", + " comm_manager.register_target(comm_id, function(comm) {\n", + " comm.on_msg(msg_handler);\n", + " });\n", + " } else if ((plot_id in window.PyViz.kernels) && (window.PyViz.kernels[plot_id])) {\n", + " window.PyViz.kernels[plot_id].registerCommTarget(comm_id, function(comm) {\n", + " comm.onMsg = msg_handler;\n", + " });\n", + " } else if (typeof google != 'undefined' && google.colab.kernel != null) {\n", + " google.colab.kernel.comms.registerTarget(comm_id, (comm) => {\n", + " var messages = comm.messages[Symbol.asyncIterator]();\n", + " function processIteratorResult(result) {\n", + " var message = result.value;\n", + " console.log(message)\n", + " var content = {data: message.data, comm_id};\n", + " var buffers = []\n", + " for (var buffer of message.buffers || []) {\n", + " buffers.push(new DataView(buffer))\n", + " }\n", + " var metadata = message.metadata || {};\n", + " var msg = {content, buffers, metadata}\n", + " msg_handler(msg);\n", + " return messages.next().then(processIteratorResult);\n", + " }\n", + " return messages.next().then(processIteratorResult);\n", + " })\n", + " }\n", + " }\n", + "\n", + " JupyterCommManager.prototype.get_client_comm = function(plot_id, comm_id, msg_handler) {\n", + " if (comm_id in window.PyViz.comms) {\n", + " return window.PyViz.comms[comm_id];\n", + " } else if (window.comm_manager || ((window.Jupyter !== undefined) && (Jupyter.notebook.kernel != null))) {\n", + " var comm_manager = window.comm_manager || Jupyter.notebook.kernel.comm_manager;\n", + " var comm = comm_manager.new_comm(comm_id, {}, {}, {}, comm_id);\n", + " if (msg_handler) {\n", + " comm.on_msg(msg_handler);\n", + " }\n", + " } else if ((plot_id in window.PyViz.kernels) && (window.PyViz.kernels[plot_id])) {\n", + " var comm = window.PyViz.kernels[plot_id].connectToComm(comm_id);\n", + " comm.open();\n", + " if (msg_handler) {\n", + " comm.onMsg = msg_handler;\n", + " }\n", + " } else if (typeof google != 'undefined' && google.colab.kernel != null) {\n", + " var comm_promise = google.colab.kernel.comms.open(comm_id)\n", + " comm_promise.then((comm) => {\n", + " window.PyViz.comms[comm_id] = comm;\n", + " if (msg_handler) {\n", + " var messages = comm.messages[Symbol.asyncIterator]();\n", + " function processIteratorResult(result) {\n", + " var message = result.value;\n", + " var content = {data: message.data};\n", + " var metadata = message.metadata || {comm_id};\n", + " var msg = {content, metadata}\n", + " msg_handler(msg);\n", + " return messages.next().then(processIteratorResult);\n", + " }\n", + " return messages.next().then(processIteratorResult);\n", + " }\n", + " }) \n", + " var sendClosure = (data, metadata, buffers, disposeOnDone) => {\n", + " return comm_promise.then((comm) => {\n", + " comm.send(data, metadata, buffers, disposeOnDone);\n", + " });\n", + " };\n", + " var comm = {\n", + " send: sendClosure\n", + " };\n", + " }\n", + " window.PyViz.comms[comm_id] = comm;\n", + " return comm;\n", + " }\n", + " window.PyViz.comm_manager = new JupyterCommManager();\n", + " \n", + "\n", + "\n", + "var JS_MIME_TYPE = 'application/javascript';\n", + "var HTML_MIME_TYPE = 'text/html';\n", + "var EXEC_MIME_TYPE = 'application/vnd.holoviews_exec.v0+json';\n", + "var CLASS_NAME = 'output';\n", + "\n", + "/**\n", + " * Render data to the DOM node\n", + " */\n", + "function render(props, node) {\n", + " var div = document.createElement(\"div\");\n", + " var script = document.createElement(\"script\");\n", + " node.appendChild(div);\n", + " node.appendChild(script);\n", + "}\n", + "\n", + "/**\n", + " * Handle when a new output is added\n", + " */\n", + "function handle_add_output(event, handle) {\n", + " var output_area = handle.output_area;\n", + " var output = handle.output;\n", + " if ((output.data == undefined) || (!output.data.hasOwnProperty(EXEC_MIME_TYPE))) {\n", + " return\n", + " }\n", + " var id = output.metadata[EXEC_MIME_TYPE][\"id\"];\n", + " var toinsert = output_area.element.find(\".\" + CLASS_NAME.split(' ')[0]);\n", + " if (id !== undefined) {\n", + " var nchildren = toinsert.length;\n", + " var html_node = toinsert[nchildren-1].children[0];\n", + " html_node.innerHTML = output.data[HTML_MIME_TYPE];\n", + " var scripts = [];\n", + " var nodelist = html_node.querySelectorAll(\"script\");\n", + " for (var i in nodelist) {\n", + " if (nodelist.hasOwnProperty(i)) {\n", + " scripts.push(nodelist[i])\n", + " }\n", + " }\n", + "\n", + " scripts.forEach( function (oldScript) {\n", + " var newScript = document.createElement(\"script\");\n", + " var attrs = [];\n", + " var nodemap = oldScript.attributes;\n", + " for (var j in nodemap) {\n", + " if (nodemap.hasOwnProperty(j)) {\n", + " attrs.push(nodemap[j])\n", + " }\n", + " }\n", + " attrs.forEach(function(attr) { newScript.setAttribute(attr.name, attr.value) });\n", + " newScript.appendChild(document.createTextNode(oldScript.innerHTML));\n", + " oldScript.parentNode.replaceChild(newScript, oldScript);\n", + " });\n", + " if (JS_MIME_TYPE in output.data) {\n", + " toinsert[nchildren-1].children[1].textContent = output.data[JS_MIME_TYPE];\n", + " }\n", + " output_area._hv_plot_id = id;\n", + " if ((window.Bokeh !== undefined) && (id in Bokeh.index)) {\n", + " window.PyViz.plot_index[id] = Bokeh.index[id];\n", + " } else {\n", + " window.PyViz.plot_index[id] = null;\n", + " }\n", + " } else if (output.metadata[EXEC_MIME_TYPE][\"server_id\"] !== undefined) {\n", + " var bk_div = document.createElement(\"div\");\n", + " bk_div.innerHTML = output.data[HTML_MIME_TYPE];\n", + " var script_attrs = bk_div.children[0].attributes;\n", + " for (var i = 0; i < script_attrs.length; i++) {\n", + " toinsert[toinsert.length - 1].childNodes[1].setAttribute(script_attrs[i].name, script_attrs[i].value);\n", + " }\n", + " // store reference to server id on output_area\n", + " output_area._bokeh_server_id = output.metadata[EXEC_MIME_TYPE][\"server_id\"];\n", + " }\n", + "}\n", + "\n", + "/**\n", + " * Handle when an output is cleared or removed\n", + " */\n", + "function handle_clear_output(event, handle) {\n", + " var id = handle.cell.output_area._hv_plot_id;\n", + " var server_id = handle.cell.output_area._bokeh_server_id;\n", + " if (((id === undefined) || !(id in PyViz.plot_index)) && (server_id !== undefined)) { return; }\n", + " var comm = window.PyViz.comm_manager.get_client_comm(\"hv-extension-comm\", \"hv-extension-comm\", function () {});\n", + " if (server_id !== null) {\n", + " comm.send({event_type: 'server_delete', 'id': server_id});\n", + " return;\n", + " } else if (comm !== null) {\n", + " comm.send({event_type: 'delete', 'id': id});\n", + " }\n", + " delete PyViz.plot_index[id];\n", + " if ((window.Bokeh !== undefined) & (id in window.Bokeh.index)) {\n", + " var doc = window.Bokeh.index[id].model.document\n", + " doc.clear();\n", + " const i = window.Bokeh.documents.indexOf(doc);\n", + " if (i > -1) {\n", + " window.Bokeh.documents.splice(i, 1);\n", + " }\n", + " }\n", + "}\n", + "\n", + "/**\n", + " * Handle kernel restart event\n", + " */\n", + "function handle_kernel_cleanup(event, handle) {\n", + " delete PyViz.comms[\"hv-extension-comm\"];\n", + " window.PyViz.plot_index = {}\n", + "}\n", + "\n", + "/**\n", + " * Handle update_display_data messages\n", + " */\n", + "function handle_update_output(event, handle) {\n", + " handle_clear_output(event, {cell: {output_area: handle.output_area}})\n", + " handle_add_output(event, handle)\n", + "}\n", + "\n", + "function register_renderer(events, OutputArea) {\n", + " function append_mime(data, metadata, element) {\n", + " // create a DOM node to render to\n", + " var toinsert = this.create_output_subarea(\n", + " metadata,\n", + " CLASS_NAME,\n", + " EXEC_MIME_TYPE\n", + " );\n", + " this.keyboard_manager.register_events(toinsert);\n", + " // Render to node\n", + " var props = {data: data, metadata: metadata[EXEC_MIME_TYPE]};\n", + " render(props, toinsert[0]);\n", + " element.append(toinsert);\n", + " return toinsert\n", + " }\n", + "\n", + " events.on('output_added.OutputArea', handle_add_output);\n", + " events.on('output_updated.OutputArea', handle_update_output);\n", + " events.on('clear_output.CodeCell', handle_clear_output);\n", + " events.on('delete.Cell', handle_clear_output);\n", + " events.on('kernel_ready.Kernel', handle_kernel_cleanup);\n", + "\n", + " OutputArea.prototype.register_mime_type(EXEC_MIME_TYPE, append_mime, {\n", + " safe: true,\n", + " index: 0\n", + " });\n", + "}\n", + "\n", + "if (window.Jupyter !== undefined) {\n", + " try {\n", + " var events = require('base/js/events');\n", + " var OutputArea = require('notebook/js/outputarea').OutputArea;\n", + " if (OutputArea.prototype.mime_types().indexOf(EXEC_MIME_TYPE) == -1) {\n", + " register_renderer(events, OutputArea);\n", + " }\n", + " } catch(err) {\n", + " }\n", + "}\n" + ], + "application/vnd.holoviews_load.v0+json": "\nif ((window.PyViz === undefined) || (window.PyViz instanceof HTMLElement)) {\n window.PyViz = {comms: {}, comm_status:{}, kernels:{}, receivers: {}, plot_index: []}\n}\n\n\n function JupyterCommManager() {\n }\n\n JupyterCommManager.prototype.register_target = function(plot_id, comm_id, msg_handler) {\n if (window.comm_manager || ((window.Jupyter !== undefined) && (Jupyter.notebook.kernel != null))) {\n var comm_manager = window.comm_manager || Jupyter.notebook.kernel.comm_manager;\n comm_manager.register_target(comm_id, function(comm) {\n comm.on_msg(msg_handler);\n });\n } else if ((plot_id in window.PyViz.kernels) && (window.PyViz.kernels[plot_id])) {\n window.PyViz.kernels[plot_id].registerCommTarget(comm_id, function(comm) {\n comm.onMsg = msg_handler;\n });\n } else if (typeof google != 'undefined' && google.colab.kernel != null) {\n google.colab.kernel.comms.registerTarget(comm_id, (comm) => {\n var messages = comm.messages[Symbol.asyncIterator]();\n function processIteratorResult(result) {\n var message = result.value;\n console.log(message)\n var content = {data: message.data, comm_id};\n var buffers = []\n for (var buffer of message.buffers || []) {\n buffers.push(new DataView(buffer))\n }\n var metadata = message.metadata || {};\n var msg = {content, buffers, metadata}\n msg_handler(msg);\n return messages.next().then(processIteratorResult);\n }\n return messages.next().then(processIteratorResult);\n })\n }\n }\n\n JupyterCommManager.prototype.get_client_comm = function(plot_id, comm_id, msg_handler) {\n if (comm_id in window.PyViz.comms) {\n return window.PyViz.comms[comm_id];\n } else if (window.comm_manager || ((window.Jupyter !== undefined) && (Jupyter.notebook.kernel != null))) {\n var comm_manager = window.comm_manager || Jupyter.notebook.kernel.comm_manager;\n var comm = comm_manager.new_comm(comm_id, {}, {}, {}, comm_id);\n if (msg_handler) {\n comm.on_msg(msg_handler);\n }\n } else if ((plot_id in window.PyViz.kernels) && (window.PyViz.kernels[plot_id])) {\n var comm = window.PyViz.kernels[plot_id].connectToComm(comm_id);\n comm.open();\n if (msg_handler) {\n comm.onMsg = msg_handler;\n }\n } else if (typeof google != 'undefined' && google.colab.kernel != null) {\n var comm_promise = google.colab.kernel.comms.open(comm_id)\n comm_promise.then((comm) => {\n window.PyViz.comms[comm_id] = comm;\n if (msg_handler) {\n var messages = comm.messages[Symbol.asyncIterator]();\n function processIteratorResult(result) {\n var message = result.value;\n var content = {data: message.data};\n var metadata = message.metadata || {comm_id};\n var msg = {content, metadata}\n msg_handler(msg);\n return messages.next().then(processIteratorResult);\n }\n return messages.next().then(processIteratorResult);\n }\n }) \n var sendClosure = (data, metadata, buffers, disposeOnDone) => {\n return comm_promise.then((comm) => {\n comm.send(data, metadata, buffers, disposeOnDone);\n });\n };\n var comm = {\n send: sendClosure\n };\n }\n window.PyViz.comms[comm_id] = comm;\n return comm;\n }\n window.PyViz.comm_manager = new JupyterCommManager();\n \n\n\nvar JS_MIME_TYPE = 'application/javascript';\nvar HTML_MIME_TYPE = 'text/html';\nvar EXEC_MIME_TYPE = 'application/vnd.holoviews_exec.v0+json';\nvar CLASS_NAME = 'output';\n\n/**\n * Render data to the DOM node\n */\nfunction render(props, node) {\n var div = document.createElement(\"div\");\n var script = document.createElement(\"script\");\n node.appendChild(div);\n node.appendChild(script);\n}\n\n/**\n * Handle when a new output is added\n */\nfunction handle_add_output(event, handle) {\n var output_area = handle.output_area;\n var output = handle.output;\n if ((output.data == undefined) || (!output.data.hasOwnProperty(EXEC_MIME_TYPE))) {\n return\n }\n var id = output.metadata[EXEC_MIME_TYPE][\"id\"];\n var toinsert = output_area.element.find(\".\" + CLASS_NAME.split(' ')[0]);\n if (id !== undefined) {\n var nchildren = toinsert.length;\n var html_node = toinsert[nchildren-1].children[0];\n html_node.innerHTML = output.data[HTML_MIME_TYPE];\n var scripts = [];\n var nodelist = html_node.querySelectorAll(\"script\");\n for (var i in nodelist) {\n if (nodelist.hasOwnProperty(i)) {\n scripts.push(nodelist[i])\n }\n }\n\n scripts.forEach( function (oldScript) {\n var newScript = document.createElement(\"script\");\n var attrs = [];\n var nodemap = oldScript.attributes;\n for (var j in nodemap) {\n if (nodemap.hasOwnProperty(j)) {\n attrs.push(nodemap[j])\n }\n }\n attrs.forEach(function(attr) { newScript.setAttribute(attr.name, attr.value) });\n newScript.appendChild(document.createTextNode(oldScript.innerHTML));\n oldScript.parentNode.replaceChild(newScript, oldScript);\n });\n if (JS_MIME_TYPE in output.data) {\n toinsert[nchildren-1].children[1].textContent = output.data[JS_MIME_TYPE];\n }\n output_area._hv_plot_id = id;\n if ((window.Bokeh !== undefined) && (id in Bokeh.index)) {\n window.PyViz.plot_index[id] = Bokeh.index[id];\n } else {\n window.PyViz.plot_index[id] = null;\n }\n } else if (output.metadata[EXEC_MIME_TYPE][\"server_id\"] !== undefined) {\n var bk_div = document.createElement(\"div\");\n bk_div.innerHTML = output.data[HTML_MIME_TYPE];\n var script_attrs = bk_div.children[0].attributes;\n for (var i = 0; i < script_attrs.length; i++) {\n toinsert[toinsert.length - 1].childNodes[1].setAttribute(script_attrs[i].name, script_attrs[i].value);\n }\n // store reference to server id on output_area\n output_area._bokeh_server_id = output.metadata[EXEC_MIME_TYPE][\"server_id\"];\n }\n}\n\n/**\n * Handle when an output is cleared or removed\n */\nfunction handle_clear_output(event, handle) {\n var id = handle.cell.output_area._hv_plot_id;\n var server_id = handle.cell.output_area._bokeh_server_id;\n if (((id === undefined) || !(id in PyViz.plot_index)) && (server_id !== undefined)) { return; }\n var comm = window.PyViz.comm_manager.get_client_comm(\"hv-extension-comm\", \"hv-extension-comm\", function () {});\n if (server_id !== null) {\n comm.send({event_type: 'server_delete', 'id': server_id});\n return;\n } else if (comm !== null) {\n comm.send({event_type: 'delete', 'id': id});\n }\n delete PyViz.plot_index[id];\n if ((window.Bokeh !== undefined) & (id in window.Bokeh.index)) {\n var doc = window.Bokeh.index[id].model.document\n doc.clear();\n const i = window.Bokeh.documents.indexOf(doc);\n if (i > -1) {\n window.Bokeh.documents.splice(i, 1);\n }\n }\n}\n\n/**\n * Handle kernel restart event\n */\nfunction handle_kernel_cleanup(event, handle) {\n delete PyViz.comms[\"hv-extension-comm\"];\n window.PyViz.plot_index = {}\n}\n\n/**\n * Handle update_display_data messages\n */\nfunction handle_update_output(event, handle) {\n handle_clear_output(event, {cell: {output_area: handle.output_area}})\n handle_add_output(event, handle)\n}\n\nfunction register_renderer(events, OutputArea) {\n function append_mime(data, metadata, element) {\n // create a DOM node to render to\n var toinsert = this.create_output_subarea(\n metadata,\n CLASS_NAME,\n EXEC_MIME_TYPE\n );\n this.keyboard_manager.register_events(toinsert);\n // Render to node\n var props = {data: data, metadata: metadata[EXEC_MIME_TYPE]};\n render(props, toinsert[0]);\n element.append(toinsert);\n return toinsert\n }\n\n events.on('output_added.OutputArea', handle_add_output);\n events.on('output_updated.OutputArea', handle_update_output);\n events.on('clear_output.CodeCell', handle_clear_output);\n events.on('delete.Cell', handle_clear_output);\n events.on('kernel_ready.Kernel', handle_kernel_cleanup);\n\n OutputArea.prototype.register_mime_type(EXEC_MIME_TYPE, append_mime, {\n safe: true,\n index: 0\n });\n}\n\nif (window.Jupyter !== undefined) {\n try {\n var events = require('base/js/events');\n var OutputArea = require('notebook/js/outputarea').OutputArea;\n if (OutputArea.prototype.mime_types().indexOf(EXEC_MIME_TYPE) == -1) {\n register_renderer(events, OutputArea);\n }\n } catch(err) {\n }\n}\n" + }, + "metadata": {}, + "output_type": "display_data" + }, + { + "data": { + "text/html": [ + "" + ] + }, + "metadata": {}, + "output_type": "display_data" + }, + { + "data": { + "application/vnd.holoviews_exec.v0+json": "", + "text/html": [ + "
\n", + "
\n", + "
\n", + "" + ] + }, + "metadata": { + "application/vnd.holoviews_exec.v0+json": { + "id": "p1002" + } + }, + "output_type": "display_data" + } + ], + "source": [ + "import ipywidgets as ipw\n", + "import hvplot.xarray # noqa\n", + "import hvplot.pandas # noqa\n", + "import panel as pn\n", + "import pandas as pd\n", + "import panel.widgets as pnw\n", + "import xarray as xr" + ] + }, + { + "cell_type": "code", + "execution_count": 203, + "id": "acad14fc-8bda-4ba3-b85e-e43384bbf3bd", + "metadata": {}, + "outputs": [ + { + "data": {}, + "metadata": {}, + "output_type": "display_data" + }, + { + "data": {}, + "metadata": {}, + "output_type": "display_data" + }, + { + "data": { + "application/vnd.holoviews_exec.v0+json": "", + "text/html": [ + "
\n", + "
\n", + "
\n", + "" + ], + "text/plain": [ + "Column\n", + " [0] HoloViews(DynamicMap, height=300, sizing_mode='fixed', widget_location='bottom', widget_type='scrubber', width=700)\n", + " [1] WidgetBox(align=('center', 'end'))\n", + " [0] Player(end=72, width=550)" + ] + }, + "execution_count": 203, + "metadata": { + "application/vnd.holoviews_exec.v0+json": { + "id": "p1271" + } + }, + "output_type": "execute_result" + } + ], + "source": [ + "#ds.Divergence.interactive.sel(Time=pnw.DiscreteSlider).plot()\n", + "\n", + "ds.Divergence.hvplot(x='west_east', y='south_north', groupby='Time', clim=(-0.01, 0.01), # sets colormap limits\n", + " widget_type=\"scrubber\",\n", + " widget_location=\"bottom\", rasterize=True)" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "id": "fd5f7e54-0cec-4769-a1e2-ceafe743194b", + "metadata": {}, "outputs": [], "source": [] }