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noaa-hrrr-gfs-analysis-compare.ipynb
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| { | |
| "cells": [ | |
| { | |
| "cell_type": "markdown", | |
| "id": "f5fda874", | |
| "metadata": {}, | |
| "source": [ | |
| "# Quickstart: Compare NOAA HRRR and GFS analysis at a point - dynamical.org \n", | |
| "\n", | |
| "Dataset documentation: \n", | |
| "* https://dynamical.org/catalog/noaa-hrrr-analysis/\n", | |
| "* https://dynamical.org/catalog/noaa-gfs-analysis-hourly/" | |
| ] | |
| }, | |
| { | |
| "cell_type": "code", | |
| "execution_count": 1, | |
| "id": "1", | |
| "metadata": {}, | |
| "outputs": [], | |
| "source": [ | |
| "# If running locally, follow README.md for simple dependency installation.\n", | |
| "# If using Google Colab, run this cell and then restart the notebook.\n", | |
| "#%pip install \"xarray[complete]>=2025.1.2\" \"zarr>=3.0.8\" icechunk rioxarray pyproj hvplot \n", | |
| "# rioxarray and pyproj are used here for working with map projections\n", | |
| "# hvplot for interactive visualization" | |
| ] | |
| }, | |
| { | |
| "cell_type": "code", | |
| "execution_count": 2, | |
| "id": "869adb81-a44a-4cb1-8c93-d0e1d2b632df", | |
| "metadata": {}, | |
| "outputs": [], | |
| "source": [ | |
| "# 180 County Rd, Bourne, MA\n", | |
| "lon_point = -70.603846\n", | |
| "lat_point = 41.729479 \n", | |
| "start = \"2020-08-01\"\n", | |
| "stop = \"2020-08-30\"" | |
| ] | |
| }, | |
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| "cell_type": "code", | |
| "execution_count": 3, | |
| "id": "2", | |
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i < js_modules.length; i++) {\n const url = js_modules[i];\n const escaped = encodeURI(url)\n if (skip.indexOf(escaped) !== -1 || existing_scripts.indexOf(escaped) !== -1) {\n if (!window.requirejs) {\n on_load();\n }\n continue;\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 const url = js_exports[name];\n const escaped = encodeURI(url)\n if (skip.indexOf(escaped) >= 0 || root[name] != null) {\n if (!window.requirejs) {\n on_load();\n }\n continue;\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 const js_urls = [\"https://cdn.holoviz.org/panel/1.7.5/dist/bundled/reactiveesm/es-module-shims@^1.10.0/dist/es-module-shims.min.js\", \"https://cdn.bokeh.org/bokeh/release/bokeh-3.7.3.min.js\", \"https://cdn.bokeh.org/bokeh/release/bokeh-gl-3.7.3.min.js\", \"https://cdn.bokeh.org/bokeh/release/bokeh-widgets-3.7.3.min.js\", \"https://cdn.bokeh.org/bokeh/release/bokeh-tables-3.7.3.min.js\", \"https://cdn.holoviz.org/panel/1.7.5/dist/panel.min.js\"];\n const js_modules = [];\n const js_exports = {};\n const css_urls = [];\n const 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 (let i = 0; i < inline_js.length; i++) {\n try {\n inline_js[i].call(root, root.Bokeh);\n } catch(e) {\n if (!reloading) {\n throw e;\n }\n }\n }\n // Cache old bokeh versions\n if (Bokeh != undefined && !reloading) {\n var NewBokeh = root.Bokeh;\n if (Bokeh.versions === undefined) {\n Bokeh.versions = new Map();\n }\n if (NewBokeh.version !== Bokeh.version) {\n Bokeh.versions.set(NewBokeh.version, NewBokeh)\n }\n root.Bokeh = Bokeh;\n }\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 // If the timeout and bokeh was not successfully loaded we reset\n // everything and try loading again\n root._bokeh_timeout = Date.now() + 5000;\n root._bokeh_is_initializing = false;\n root._bokeh_onload_callbacks = undefined;\n root._bokeh_is_loading = 0\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 const bokeh_loaded = root.Bokeh != null && (root.Bokeh.version === py_version || (root.Bokeh.versions !== undefined && root.Bokeh.versions.has(py_version)));\n if (!reloading && !bokeh_loaded) {\n if (root.Bokeh) {\n root.Bokeh = undefined;\n }\n console.debug(\"Bokeh: BokehJS not loaded, scheduling load and callback at\", now());\n }\n load_libs(css_urls, js_urls, js_modules, js_exports, function() {\n console.debug(\"Bokeh: BokehJS plotting callback run at\", now());\n run_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", | |
| " 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", | |
| " let retries = 0;\n", | |
| " const open = () => {\n", | |
| " if (comm.active) {\n", | |
| " comm.open();\n", | |
| " } else if (retries > 3) {\n", | |
| " console.warn('Comm target never activated')\n", | |
| " } else {\n", | |
| " retries += 1\n", | |
| " setTimeout(open, 500)\n", | |
| " }\n", | |
| " }\n", | |
| " if (comm.active) {\n", | |
| " comm.open();\n", | |
| " } else {\n", | |
| " setTimeout(open, 500)\n", | |
| " }\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 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 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| ".xr-text-repr-fallback {\n", | |
| " /* fallback to plain text repr when CSS is not injected (untrusted notebook) */\n", | |
| " display: none;\n", | |
| "}\n", | |
| "\n", | |
| ".xr-header {\n", | |
| " padding-top: 6px;\n", | |
| " padding-bottom: 6px;\n", | |
| " margin-bottom: 4px;\n", | |
| " border-bottom: solid 1px var(--xr-border-color);\n", | |
| "}\n", | |
| "\n", | |
| ".xr-header > div,\n", | |
| ".xr-header > ul {\n", | |
| " display: inline;\n", | |
| " margin-top: 0;\n", | |
| " margin-bottom: 0;\n", | |
| "}\n", | |
| "\n", | |
| ".xr-obj-type,\n", | |
| ".xr-array-name {\n", | |
| " margin-left: 2px;\n", | |
| " margin-right: 10px;\n", | |
| "}\n", | |
| "\n", | |
| ".xr-obj-type {\n", | |
| " color: var(--xr-font-color2);\n", | |
| "}\n", | |
| "\n", | |
| ".xr-sections {\n", | |
| " padding-left: 0 !important;\n", | |
| " display: grid;\n", | |
| " grid-template-columns: 150px auto auto 1fr 0 20px 0 20px;\n", | |
| "}\n", | |
| "\n", | |
| ".xr-section-item {\n", | |
| " display: contents;\n", | |
| "}\n", | |
| "\n", | |
| ".xr-section-item input {\n", | |
| " display: inline-block;\n", | |
| " opacity: 0;\n", | |
| " height: 0;\n", | |
| "}\n", | |
| "\n", | |
| ".xr-section-item input + label {\n", | |
| " color: var(--xr-disabled-color);\n", | |
| " border: 2px solid transparent !important;\n", | |
| "}\n", | |
| "\n", | |
| ".xr-section-item input:enabled + label {\n", | |
| " cursor: pointer;\n", | |
| " color: var(--xr-font-color2);\n", | |
| "}\n", | |
| "\n", | |
| ".xr-section-item input:focus + label {\n", | |
| " border: 2px solid var(--xr-font-color0) !important;\n", | |
| "}\n", | |
| "\n", | |
| ".xr-section-item input:enabled + label:hover {\n", | |
| " color: var(--xr-font-color0);\n", | |
| "}\n", | |
| "\n", | |
| ".xr-section-summary {\n", | |
| " grid-column: 1;\n", | |
| " color: var(--xr-font-color2);\n", | |
| " font-weight: 500;\n", | |
| "}\n", | |
| "\n", | |
| ".xr-section-summary > span {\n", | |
| " display: inline-block;\n", | |
| " padding-left: 0.5em;\n", | |
| "}\n", | |
| "\n", | |
| ".xr-section-summary-in:disabled + label {\n", | |
| " color: var(--xr-font-color2);\n", | |
| "}\n", | |
| "\n", | |
| ".xr-section-summary-in + label:before {\n", | |
| " display: inline-block;\n", | |
| " content: \"►\";\n", | |
| " font-size: 11px;\n", | |
| " width: 15px;\n", | |
| " text-align: center;\n", | |
| "}\n", | |
| "\n", | |
| ".xr-section-summary-in:disabled + label:before {\n", | |
| " color: var(--xr-disabled-color);\n", | |
| "}\n", | |
| "\n", | |
| ".xr-section-summary-in:checked + label:before {\n", | |
| " content: \"▼\";\n", | |
| "}\n", | |
| "\n", | |
| ".xr-section-summary-in:checked + label > span {\n", | |
| " display: none;\n", | |
| "}\n", | |
| "\n", | |
| ".xr-section-summary,\n", | |
| ".xr-section-inline-details {\n", | |
| " padding-top: 4px;\n", | |
| " padding-bottom: 4px;\n", | |
| "}\n", | |
| "\n", | |
| ".xr-section-inline-details {\n", | |
| " grid-column: 2 / -1;\n", | |
| "}\n", | |
| "\n", | |
| ".xr-section-details {\n", | |
| " display: none;\n", | |
| " grid-column: 1 / -1;\n", | |
| " margin-bottom: 5px;\n", | |
| "}\n", | |
| "\n", | |
| ".xr-section-summary-in:checked ~ .xr-section-details {\n", | |
| " display: contents;\n", | |
| "}\n", | |
| "\n", | |
| ".xr-array-wrap {\n", | |
| " grid-column: 1 / -1;\n", | |
| " display: grid;\n", | |
| " grid-template-columns: 20px auto;\n", | |
| "}\n", | |
| "\n", | |
| ".xr-array-wrap > label {\n", | |
| " grid-column: 1;\n", | |
| " vertical-align: top;\n", | |
| "}\n", | |
| "\n", | |
| ".xr-preview {\n", | |
| " color: var(--xr-font-color3);\n", | |
| "}\n", | |
| "\n", | |
| ".xr-array-preview,\n", | |
| ".xr-array-data {\n", | |
| " padding: 0 5px !important;\n", | |
| " grid-column: 2;\n", | |
| "}\n", | |
| "\n", | |
| ".xr-array-data,\n", | |
| ".xr-array-in:checked ~ .xr-array-preview {\n", | |
| " display: none;\n", | |
| "}\n", | |
| "\n", | |
| ".xr-array-in:checked ~ .xr-array-data,\n", | |
| ".xr-array-preview {\n", | |
| " display: inline-block;\n", | |
| "}\n", | |
| "\n", | |
| ".xr-dim-list {\n", | |
| " display: inline-block !important;\n", | |
| " list-style: none;\n", | |
| " padding: 0 !important;\n", | |
| " margin: 0;\n", | |
| "}\n", | |
| "\n", | |
| ".xr-dim-list li {\n", | |
| " display: inline-block;\n", | |
| " padding: 0;\n", | |
| " margin: 0;\n", | |
| "}\n", | |
| "\n", | |
| ".xr-dim-list:before {\n", | |
| " content: \"(\";\n", | |
| "}\n", | |
| "\n", | |
| ".xr-dim-list:after {\n", | |
| " content: \")\";\n", | |
| "}\n", | |
| "\n", | |
| ".xr-dim-list li:not(:last-child):after {\n", | |
| " content: \",\";\n", | |
| " padding-right: 5px;\n", | |
| "}\n", | |
| "\n", | |
| ".xr-has-index {\n", | |
| " font-weight: bold;\n", | |
| "}\n", | |
| "\n", | |
| ".xr-var-list,\n", | |
| ".xr-var-item {\n", | |
| " display: contents;\n", | |
| "}\n", | |
| "\n", | |
| ".xr-var-item > div,\n", | |
| ".xr-var-item label,\n", | |
| ".xr-var-item > .xr-var-name span {\n", | |
| " background-color: var(--xr-background-color-row-even);\n", | |
| " border-color: var(--xr-background-color-row-odd);\n", | |
| " margin-bottom: 0;\n", | |
| " padding-top: 2px;\n", | |
| "}\n", | |
| "\n", | |
| ".xr-var-item > .xr-var-name:hover span {\n", | |
| " padding-right: 5px;\n", | |
| "}\n", | |
| "\n", | |
| ".xr-var-list > li:nth-child(odd) > div,\n", | |
| ".xr-var-list > li:nth-child(odd) > label,\n", | |
| ".xr-var-list > li:nth-child(odd) > .xr-var-name span {\n", | |
| " background-color: var(--xr-background-color-row-odd);\n", | |
| " border-color: var(--xr-background-color-row-even);\n", | |
| "}\n", | |
| "\n", | |
| ".xr-var-name {\n", | |
| " grid-column: 1;\n", | |
| "}\n", | |
| "\n", | |
| ".xr-var-dims {\n", | |
| " grid-column: 2;\n", | |
| "}\n", | |
| "\n", | |
| ".xr-var-dtype {\n", | |
| " grid-column: 3;\n", | |
| " text-align: right;\n", | |
| " color: var(--xr-font-color2);\n", | |
| "}\n", | |
| "\n", | |
| ".xr-var-preview {\n", | |
| " grid-column: 4;\n", | |
| "}\n", | |
| "\n", | |
| ".xr-index-preview {\n", | |
| " grid-column: 2 / 5;\n", | |
| " color: var(--xr-font-color2);\n", | |
| "}\n", | |
| "\n", | |
| ".xr-var-name,\n", | |
| ".xr-var-dims,\n", | |
| ".xr-var-dtype,\n", | |
| ".xr-preview,\n", | |
| ".xr-attrs dt {\n", | |
| " white-space: nowrap;\n", | |
| " overflow: hidden;\n", | |
| " text-overflow: ellipsis;\n", | |
| " padding-right: 10px;\n", | |
| "}\n", | |
| "\n", | |
| ".xr-var-name:hover,\n", | |
| ".xr-var-dims:hover,\n", | |
| ".xr-var-dtype:hover,\n", | |
| ".xr-attrs dt:hover {\n", | |
| " overflow: visible;\n", | |
| " width: auto;\n", | |
| " z-index: 1;\n", | |
| "}\n", | |
| "\n", | |
| ".xr-var-attrs,\n", | |
| ".xr-var-data,\n", | |
| ".xr-index-data {\n", | |
| " display: none;\n", | |
| " border-top: 2px dotted var(--xr-background-color);\n", | |
| " padding-bottom: 20px !important;\n", | |
| " padding-top: 10px !important;\n", | |
| "}\n", | |
| "\n", | |
| ".xr-var-attrs-in + label,\n", | |
| ".xr-var-data-in + label,\n", | |
| ".xr-index-data-in + label {\n", | |
| " padding: 0 1px;\n", | |
| "}\n", | |
| "\n", | |
| ".xr-var-attrs-in:checked ~ .xr-var-attrs,\n", | |
| ".xr-var-data-in:checked ~ .xr-var-data,\n", | |
| ".xr-index-data-in:checked ~ .xr-index-data {\n", | |
| " display: block;\n", | |
| "}\n", | |
| "\n", | |
| ".xr-var-data > table {\n", | |
| " float: right;\n", | |
| "}\n", | |
| "\n", | |
| ".xr-var-data > pre,\n", | |
| ".xr-index-data > pre,\n", | |
| ".xr-var-data > table > tbody > tr {\n", | |
| " background-color: transparent !important;\n", | |
| "}\n", | |
| "\n", | |
| ".xr-var-name span,\n", | |
| ".xr-var-data,\n", | |
| ".xr-index-name div,\n", | |
| ".xr-index-data,\n", | |
| ".xr-attrs {\n", | |
| " padding-left: 25px !important;\n", | |
| "}\n", | |
| "\n", | |
| ".xr-attrs,\n", | |
| ".xr-var-attrs,\n", | |
| ".xr-var-data,\n", | |
| ".xr-index-data {\n", | |
| " grid-column: 1 / -1;\n", | |
| "}\n", | |
| "\n", | |
| "dl.xr-attrs {\n", | |
| " padding: 0;\n", | |
| " margin: 0;\n", | |
| " display: grid;\n", | |
| " grid-template-columns: 125px auto;\n", | |
| "}\n", | |
| "\n", | |
| ".xr-attrs dt,\n", | |
| ".xr-attrs dd {\n", | |
| " padding: 0;\n", | |
| " margin: 0;\n", | |
| " float: left;\n", | |
| " padding-right: 10px;\n", | |
| " width: auto;\n", | |
| "}\n", | |
| "\n", | |
| ".xr-attrs dt {\n", | |
| " font-weight: normal;\n", | |
| " grid-column: 1;\n", | |
| "}\n", | |
| "\n", | |
| ".xr-attrs dt:hover span {\n", | |
| " display: inline-block;\n", | |
| " background: var(--xr-background-color);\n", | |
| " padding-right: 10px;\n", | |
| "}\n", | |
| "\n", | |
| ".xr-attrs dd {\n", | |
| " grid-column: 2;\n", | |
| " white-space: pre-wrap;\n", | |
| " word-break: break-all;\n", | |
| "}\n", | |
| "\n", | |
| ".xr-icon-database,\n", | |
| ".xr-icon-file-text2,\n", | |
| ".xr-no-icon {\n", | |
| " display: inline-block;\n", | |
| " vertical-align: middle;\n", | |
| " width: 1em;\n", | |
| " height: 1.5em !important;\n", | |
| " stroke-width: 0;\n", | |
| " stroke: currentColor;\n", | |
| " fill: currentColor;\n", | |
| "}\n", | |
| "\n", | |
| ".xr-var-attrs-in:checked + label > .xr-icon-file-text2,\n", | |
| ".xr-var-data-in:checked + label > .xr-icon-database,\n", | |
| ".xr-index-data-in:checked + label > .xr-icon-database {\n", | |
| " color: var(--xr-font-color0);\n", | |
| " filter: drop-shadow(1px 1px 5px var(--xr-font-color2));\n", | |
| " stroke-width: 0.8px;\n", | |
| "}\n", | |
| "</style><pre class='xr-text-repr-fallback'><xarray.Dataset> Size: 10TB\n", | |
| "Dimensions: (time: 64479, y: 1059, x: 1799)\n", | |
| "Coordinates:\n", | |
| " longitude (y, x) float32 8MB ...\n", | |
| " latitude (y, x) float32 8MB ...\n", | |
| " * time (time) datetime64[ns] 516kB 2...\n", | |
| " spatial_ref int64 8B ...\n", | |
| " * x (x) float64 14kB -2.698e+06 ....\n", | |
| " * y (y) float64 8kB 1.587e+06 ......\n", | |
| "Data variables: (12/20)\n", | |
| " downward_short_wave_radiation_flux_surface (time, y, x) float32 491GB ...\n", | |
| " downward_long_wave_radiation_flux_surface (time, y, x) float32 491GB ...\n", | |
| " categorical_rain_surface (time, y, x) float32 491GB ...\n", | |
| " categorical_snow_surface (time, y, x) float32 491GB ...\n", | |
| " geopotential_height_cloud_ceiling (time, y, x) float32 491GB ...\n", | |
| " categorical_freezing_rain_surface (time, y, x) float32 491GB ...\n", | |
| " ... ...\n", | |
| " wind_v_80m (time, y, x) float32 491GB ...\n", | |
| " total_cloud_cover_atmosphere (time, y, x) float32 491GB ...\n", | |
| " wind_v_10m (time, y, x) float32 491GB ...\n", | |
| " relative_humidity_2m (time, y, x) float32 491GB ...\n", | |
| " wind_u_10m (time, y, x) float32 491GB ...\n", | |
| " temperature_2m (time, y, x) float32 491GB ...\n", | |
| "Attributes:\n", | |
| " dataset_id: noaa-hrrr-analysis\n", | |
| " dataset_version: 0.1.0\n", | |
| " name: NOAA HRRR analysis\n", | |
| " description: Analysis data from the High-Resolution Rapid Refresh...\n", | |
| " attribution: NOAA NWS NCEP HRRR data processed by dynamical.org f...\n", | |
| " spatial_domain: Continental United States\n", | |
| " spatial_resolution: 3 km\n", | |
| " time_domain: 2018-09-16 00:00:00 UTC to Present\n", | |
| " time_resolution: 1 hour</pre><div class='xr-wrap' style='display:none'><div class='xr-header'><div class='xr-obj-type'>xarray.Dataset</div></div><ul class='xr-sections'><li class='xr-section-item'><input id='section-c2154331-6486-4235-afad-2c6ba123d49f' class='xr-section-summary-in' type='checkbox' disabled ><label for='section-c2154331-6486-4235-afad-2c6ba123d49f' class='xr-section-summary' title='Expand/collapse section'>Dimensions:</label><div class='xr-section-inline-details'><ul class='xr-dim-list'><li><span class='xr-has-index'>time</span>: 64479</li><li><span class='xr-has-index'>y</span>: 1059</li><li><span class='xr-has-index'>x</span>: 1799</li></ul></div><div class='xr-section-details'></div></li><li class='xr-section-item'><input id='section-def39420-8f38-4e44-9a8f-2774c8d35cba' class='xr-section-summary-in' type='checkbox' checked><label for='section-def39420-8f38-4e44-9a8f-2774c8d35cba' class='xr-section-summary' >Coordinates: <span>(6)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-var-name'><span>longitude</span></div><div class='xr-var-dims'>(y, x)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-ee4888d9-0bc7-4f2e-a01b-70ab564fa60a' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-ee4888d9-0bc7-4f2e-a01b-70ab564fa60a' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-1a6a0ff1-20f1-4171-846f-9441b7970d92' class='xr-var-data-in' type='checkbox'><label for='data-1a6a0ff1-20f1-4171-846f-9441b7970d92' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>Longitude</dd><dt><span>standard_name :</span></dt><dd>longitude</dd><dt><span>units :</span></dt><dd>degree_east</dd><dt><span>statistics_approximate :</span></dt><dd>{'min': -134.09548, 'max': -60.917192}</dd></dl></div><div class='xr-var-data'><pre>[1905141 values with dtype=float32]</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>latitude</span></div><div class='xr-var-dims'>(y, x)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-f9de07de-c3b4-4ca0-86c5-914d1eecc23f' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-f9de07de-c3b4-4ca0-86c5-914d1eecc23f' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-e54faee4-2cf6-40bc-aa3e-ff9654a149bc' class='xr-var-data-in' type='checkbox'><label for='data-e54faee4-2cf6-40bc-aa3e-ff9654a149bc' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>Latitude</dd><dt><span>standard_name :</span></dt><dd>latitude</dd><dt><span>units :</span></dt><dd>degree_north</dd><dt><span>statistics_approximate :</span></dt><dd>{'min': 21.138123, 'max': 52.615653}</dd></dl></div><div class='xr-var-data'><pre>[1905141 values with dtype=float32]</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>time</span></div><div class='xr-var-dims'>(time)</div><div class='xr-var-dtype'>datetime64[ns]</div><div class='xr-var-preview xr-preview'>2018-09-16 ... 2026-01-23T14:00:00</div><input id='attrs-96f45c35-61eb-4f5d-8381-8b3861298d6a' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-96f45c35-61eb-4f5d-8381-8b3861298d6a' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-42375b28-c5c6-444f-9ee9-f38cf1117e3c' class='xr-var-data-in' type='checkbox'><label for='data-42375b28-c5c6-444f-9ee9-f38cf1117e3c' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>Time</dd><dt><span>standard_name :</span></dt><dd>time</dd><dt><span>axis :</span></dt><dd>T</dd><dt><span>statistics_approximate :</span></dt><dd>{'min': '2018-09-16T00:00:00', 'max': 'Present'}</dd></dl></div><div class='xr-var-data'><pre>array(['2018-09-16T00:00:00.000000000', '2018-09-16T01:00:00.000000000',\n", | |
| " '2018-09-16T02:00:00.000000000', ..., '2026-01-23T12:00:00.000000000',\n", | |
| " '2026-01-23T13:00:00.000000000', '2026-01-23T14:00:00.000000000'],\n", | |
| " shape=(64479,), dtype='datetime64[ns]')</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>spatial_ref</span></div><div class='xr-var-dims'>()</div><div class='xr-var-dtype'>int64</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-ada4d70d-9748-440c-b87c-b30dd6e266bd' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-ada4d70d-9748-440c-b87c-b30dd6e266bd' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-6fc8c693-6f70-4fba-a1eb-21cf5a55b7dc' class='xr-var-data-in' type='checkbox'><label for='data-6fc8c693-6f70-4fba-a1eb-21cf5a55b7dc' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>crs_wkt :</span></dt><dd>PROJCS["unnamed",GEOGCS["Coordinate System imported from GRIB file",DATUM["unnamed",SPHEROID["Sphere",6371229,0]],PRIMEM["Greenwich",0],UNIT["degree",0.0174532925199433,AUTHORITY["EPSG","9122"]]],PROJECTION["Lambert_Conformal_Conic_2SP"],PARAMETER["latitude_of_origin",38.5],PARAMETER["central_meridian",-97.5],PARAMETER["standard_parallel_1",38.5],PARAMETER["standard_parallel_2",38.5],PARAMETER["false_easting",0],PARAMETER["false_northing",0],UNIT["Metre",1],AXIS["Easting",EAST],AXIS["Northing",NORTH]]</dd><dt><span>semi_major_axis :</span></dt><dd>6371229.0</dd><dt><span>semi_minor_axis :</span></dt><dd>6371229.0</dd><dt><span>inverse_flattening :</span></dt><dd>0.0</dd><dt><span>reference_ellipsoid_name :</span></dt><dd>Sphere</dd><dt><span>longitude_of_prime_meridian :</span></dt><dd>0.0</dd><dt><span>prime_meridian_name :</span></dt><dd>Greenwich</dd><dt><span>geographic_crs_name :</span></dt><dd>Coordinate System imported from GRIB file</dd><dt><span>horizontal_datum_name :</span></dt><dd>unnamed</dd><dt><span>grid_mapping_name :</span></dt><dd>lambert_conformal_conic</dd><dt><span>spatial_ref :</span></dt><dd>PROJCS["unnamed",GEOGCS["Coordinate System imported from GRIB file",DATUM["unnamed",SPHEROID["Sphere",6371229,0]],PRIMEM["Greenwich",0],UNIT["degree",0.0174532925199433,AUTHORITY["EPSG","9122"]]],PROJECTION["Lambert_Conformal_Conic_2SP"],PARAMETER["latitude_of_origin",38.5],PARAMETER["central_meridian",-97.5],PARAMETER["standard_parallel_1",38.5],PARAMETER["standard_parallel_2",38.5],PARAMETER["false_easting",0],PARAMETER["false_northing",0],UNIT["Metre",1],AXIS["Easting",EAST],AXIS["Northing",NORTH]]</dd><dt><span>GeoTransform :</span></dt><dd>-2699020.142521929 3000.0 0.0 1588193.847443335 0.0 -3000.0</dd><dt><span>false_easting :</span></dt><dd>0.0</dd><dt><span>false_northing :</span></dt><dd>0.0</dd><dt><span>latitude_of_projection_origin :</span></dt><dd>38.5</dd><dt><span>longitude_of_central_meridian :</span></dt><dd>-97.5</dd><dt><span>projected_crs_name :</span></dt><dd>unnamed</dd><dt><span>standard_parallel :</span></dt><dd>[38.5, 38.5]</dd></dl></div><div class='xr-var-data'><pre>[1 values with dtype=int64]</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>x</span></div><div class='xr-var-dims'>(x)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>-2.698e+06 -2.695e+06 ... 2.696e+06</div><input id='attrs-56231807-d604-42ae-a776-7885f321ae74' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-56231807-d604-42ae-a776-7885f321ae74' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-9ea9c0b2-f6e6-4ce0-8c16-e68d3054f250' class='xr-var-data-in' type='checkbox'><label for='data-9ea9c0b2-f6e6-4ce0-8c16-e68d3054f250' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>X coordinate of projection</dd><dt><span>standard_name :</span></dt><dd>projection_x_coordinate</dd><dt><span>axis :</span></dt><dd>X</dd><dt><span>units :</span></dt><dd>m</dd><dt><span>statistics_approximate :</span></dt><dd>{'min': -2700000.0, 'max': 2700000.0}</dd></dl></div><div class='xr-var-data'><pre>array([-2697520.142522, -2694520.142522, -2691520.142522, ..., 2690479.857478,\n", | |
| " 2693479.857478, 2696479.857478], shape=(1799,))</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>y</span></div><div class='xr-var-dims'>(y)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>1.587e+06 1.584e+06 ... -1.587e+06</div><input id='attrs-1df9d51b-5691-40e1-a6a6-dea00d7d16cd' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-1df9d51b-5691-40e1-a6a6-dea00d7d16cd' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-f485b988-6d0e-42bb-9858-f70186745fb5' class='xr-var-data-in' type='checkbox'><label for='data-f485b988-6d0e-42bb-9858-f70186745fb5' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>Y coordinate of projection</dd><dt><span>standard_name :</span></dt><dd>projection_y_coordinate</dd><dt><span>axis :</span></dt><dd>Y</dd><dt><span>units :</span></dt><dd>m</dd><dt><span>statistics_approximate :</span></dt><dd>{'min': -1600000.0, 'max': 1600000.0}</dd></dl></div><div class='xr-var-data'><pre>array([ 1586693.847443, 1583693.847443, 1580693.847443, ..., -1581306.152557,\n", | |
| " -1584306.152557, -1587306.152557], shape=(1059,))</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-694a6178-cf7b-4653-8375-ba507f5eb028' class='xr-section-summary-in' type='checkbox' ><label for='section-694a6178-cf7b-4653-8375-ba507f5eb028' class='xr-section-summary' >Data variables: <span>(20)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-var-name'><span>downward_short_wave_radiation_flux_surface</span></div><div class='xr-var-dims'>(time, y, x)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-8170e4b2-f7e0-4273-9c7f-e4de05ad453c' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-8170e4b2-f7e0-4273-9c7f-e4de05ad453c' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-1c33f8a6-be8a-4db9-b842-7eb2b808ff37' class='xr-var-data-in' type='checkbox'><label for='data-1c33f8a6-be8a-4db9-b842-7eb2b808ff37' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>Surface downward short-wave radiation flux</dd><dt><span>short_name :</span></dt><dd>sdswrf</dd><dt><span>standard_name :</span></dt><dd>surface_downwelling_shortwave_flux_in_air</dd><dt><span>units :</span></dt><dd>W m-2</dd><dt><span>step_type :</span></dt><dd>instant</dd></dl></div><div class='xr-var-data'><pre>[122841586539 values with dtype=float32]</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>downward_long_wave_radiation_flux_surface</span></div><div class='xr-var-dims'>(time, y, x)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-d6770783-59ed-4b29-9785-662eaa187698' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-d6770783-59ed-4b29-9785-662eaa187698' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-377ddb5c-28e3-4c6b-9b64-959273f29cfc' class='xr-var-data-in' type='checkbox'><label for='data-377ddb5c-28e3-4c6b-9b64-959273f29cfc' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>Surface downward long-wave radiation flux</dd><dt><span>short_name :</span></dt><dd>sdlwrf</dd><dt><span>standard_name :</span></dt><dd>surface_downwelling_longwave_flux_in_air</dd><dt><span>units :</span></dt><dd>W m-2</dd><dt><span>step_type :</span></dt><dd>instant</dd></dl></div><div class='xr-var-data'><pre>[122841586539 values with dtype=float32]</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>categorical_rain_surface</span></div><div class='xr-var-dims'>(time, y, x)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-77211e94-67fc-4555-8857-4e1f66c3032b' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-77211e94-67fc-4555-8857-4e1f66c3032b' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-d2b6c0c3-7285-4f81-8dc7-0a603a8713e0' class='xr-var-data-in' type='checkbox'><label for='data-d2b6c0c3-7285-4f81-8dc7-0a603a8713e0' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>Categorical rain</dd><dt><span>short_name :</span></dt><dd>crain</dd><dt><span>units :</span></dt><dd>1</dd><dt><span>comment :</span></dt><dd>0=no; 1=yes</dd><dt><span>step_type :</span></dt><dd>instant</dd></dl></div><div class='xr-var-data'><pre>[122841586539 values with dtype=float32]</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>categorical_snow_surface</span></div><div class='xr-var-dims'>(time, y, x)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-7634342d-d7db-46f5-88c1-7d3755fbc2f4' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-7634342d-d7db-46f5-88c1-7d3755fbc2f4' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-69472020-5434-4095-8e29-53a50bae61cb' class='xr-var-data-in' type='checkbox'><label for='data-69472020-5434-4095-8e29-53a50bae61cb' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>Categorical snow</dd><dt><span>short_name :</span></dt><dd>csnow</dd><dt><span>units :</span></dt><dd>1</dd><dt><span>comment :</span></dt><dd>0=no; 1=yes</dd><dt><span>step_type :</span></dt><dd>instant</dd></dl></div><div class='xr-var-data'><pre>[122841586539 values with dtype=float32]</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>geopotential_height_cloud_ceiling</span></div><div class='xr-var-dims'>(time, y, x)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-b98f6a52-a7ec-4601-ac32-c2b9d648526b' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-b98f6a52-a7ec-4601-ac32-c2b9d648526b' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-0b4ebb7e-2fd0-439b-91ff-6044534ac1ef' class='xr-var-data-in' type='checkbox'><label for='data-0b4ebb7e-2fd0-439b-91ff-6044534ac1ef' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>Geopotential height</dd><dt><span>short_name :</span></dt><dd>gh</dd><dt><span>standard_name :</span></dt><dd>geopotential_height</dd><dt><span>units :</span></dt><dd>m</dd><dt><span>step_type :</span></dt><dd>instant</dd></dl></div><div class='xr-var-data'><pre>[122841586539 values with dtype=float32]</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>categorical_freezing_rain_surface</span></div><div class='xr-var-dims'>(time, y, x)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-f527d759-0cef-4d6a-88a0-208e1286a49e' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-f527d759-0cef-4d6a-88a0-208e1286a49e' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-48aa3385-68ae-439d-8d5b-cd39f1f1c753' class='xr-var-data-in' type='checkbox'><label for='data-48aa3385-68ae-439d-8d5b-cd39f1f1c753' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>Categorical freezing rain</dd><dt><span>short_name :</span></dt><dd>cfrzr</dd><dt><span>units :</span></dt><dd>1</dd><dt><span>comment :</span></dt><dd>0=no; 1=yes</dd><dt><span>step_type :</span></dt><dd>instant</dd></dl></div><div class='xr-var-data'><pre>[122841586539 values with dtype=float32]</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>composite_reflectivity</span></div><div class='xr-var-dims'>(time, y, x)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-79426e23-6881-4c21-ab3e-9934cafd7f11' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-79426e23-6881-4c21-ab3e-9934cafd7f11' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-7b976680-28e5-4a6d-b7f2-b7cb3592c373' class='xr-var-data-in' type='checkbox'><label for='data-7b976680-28e5-4a6d-b7f2-b7cb3592c373' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>Maximum/Composite radar reflectivity</dd><dt><span>short_name :</span></dt><dd>refc</dd><dt><span>units :</span></dt><dd>dBZ</dd><dt><span>step_type :</span></dt><dd>instant</dd></dl></div><div class='xr-var-data'><pre>[122841586539 values with dtype=float32]</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>percent_frozen_precipitation_surface</span></div><div class='xr-var-dims'>(time, y, x)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-6aaf571a-6f1c-45e1-9535-a84d3547c87c' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-6aaf571a-6f1c-45e1-9535-a84d3547c87c' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-59200c29-69c9-4a5c-b297-0f9e63f3011d' class='xr-var-data-in' type='checkbox'><label for='data-59200c29-69c9-4a5c-b297-0f9e63f3011d' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>Percent frozen precipitation</dd><dt><span>short_name :</span></dt><dd>cpofp</dd><dt><span>units :</span></dt><dd>percent</dd><dt><span>step_type :</span></dt><dd>instant</dd></dl></div><div class='xr-var-data'><pre>[122841586539 values with dtype=float32]</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>categorical_ice_pellets_surface</span></div><div class='xr-var-dims'>(time, y, x)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-9395a238-cbe3-42fa-b37c-0d7f78e1ba2b' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-9395a238-cbe3-42fa-b37c-0d7f78e1ba2b' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-6ab5df02-2263-458f-a5d2-3ce81c2731f9' class='xr-var-data-in' type='checkbox'><label for='data-6ab5df02-2263-458f-a5d2-3ce81c2731f9' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>Categorical ice pellets</dd><dt><span>short_name :</span></dt><dd>cicep</dd><dt><span>units :</span></dt><dd>1</dd><dt><span>comment :</span></dt><dd>0=no; 1=yes</dd><dt><span>step_type :</span></dt><dd>instant</dd></dl></div><div class='xr-var-data'><pre>[122841586539 values with dtype=float32]</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>precipitation_surface</span></div><div class='xr-var-dims'>(time, y, x)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-1e137bc1-a9f2-4f08-80f5-ee6ae837f1ca' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-1e137bc1-a9f2-4f08-80f5-ee6ae837f1ca' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-95880692-e409-4540-b2e1-0abe77893819' class='xr-var-data-in' type='checkbox'><label for='data-95880692-e409-4540-b2e1-0abe77893819' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>Precipitation rate</dd><dt><span>short_name :</span></dt><dd>prate</dd><dt><span>standard_name :</span></dt><dd>precipitation_flux</dd><dt><span>units :</span></dt><dd>kg m-2 s-1</dd><dt><span>comment :</span></dt><dd>Average precipitation rate since the previous forecast step. Units equivalent to mm/s.</dd><dt><span>step_type :</span></dt><dd>avg</dd></dl></div><div class='xr-var-data'><pre>[122841586539 values with dtype=float32]</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>pressure_reduced_to_mean_sea_level</span></div><div class='xr-var-dims'>(time, y, x)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-a394358f-4104-4046-9795-e519a605dfea' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-a394358f-4104-4046-9795-e519a605dfea' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-59fa8ca4-879f-442a-9f5b-dba4f5b805de' class='xr-var-data-in' type='checkbox'><label for='data-59fa8ca4-879f-442a-9f5b-dba4f5b805de' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>Pressure reduced to MSL</dd><dt><span>short_name :</span></dt><dd>prmsl</dd><dt><span>standard_name :</span></dt><dd>air_pressure_at_mean_sea_level</dd><dt><span>units :</span></dt><dd>Pa</dd><dt><span>step_type :</span></dt><dd>instant</dd></dl></div><div class='xr-var-data'><pre>[122841586539 values with dtype=float32]</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>precipitable_water_atmosphere</span></div><div class='xr-var-dims'>(time, y, x)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-078db3eb-f529-4b1f-9489-602c8922321f' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-078db3eb-f529-4b1f-9489-602c8922321f' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-cf2f3aa7-1051-4818-8dc5-e3758b27c1c1' class='xr-var-data-in' type='checkbox'><label for='data-cf2f3aa7-1051-4818-8dc5-e3758b27c1c1' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>Precipitable water</dd><dt><span>short_name :</span></dt><dd>pwat</dd><dt><span>standard_name :</span></dt><dd>atmosphere_mass_content_of_water_vapor</dd><dt><span>units :</span></dt><dd>kg m-2</dd><dt><span>step_type :</span></dt><dd>instant</dd></dl></div><div class='xr-var-data'><pre>[122841586539 values with dtype=float32]</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>pressure_surface</span></div><div class='xr-var-dims'>(time, y, x)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-3f09bd3c-4fa1-4efb-b2ff-6ec458018bec' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-3f09bd3c-4fa1-4efb-b2ff-6ec458018bec' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-1bfb2133-43b7-4986-807b-cbffeb297a58' class='xr-var-data-in' type='checkbox'><label for='data-1bfb2133-43b7-4986-807b-cbffeb297a58' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>Surface pressure</dd><dt><span>short_name :</span></dt><dd>sp</dd><dt><span>standard_name :</span></dt><dd>surface_air_pressure</dd><dt><span>units :</span></dt><dd>Pa</dd><dt><span>step_type :</span></dt><dd>instant</dd></dl></div><div class='xr-var-data'><pre>[122841586539 values with dtype=float32]</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>wind_u_80m</span></div><div class='xr-var-dims'>(time, y, x)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-837b2b61-c7e2-460b-aa4c-b42c7d14d141' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-837b2b61-c7e2-460b-aa4c-b42c7d14d141' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-9d90554f-ef5b-42a7-8e64-e4d996f8af38' class='xr-var-data-in' type='checkbox'><label for='data-9d90554f-ef5b-42a7-8e64-e4d996f8af38' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>80 metre U wind component</dd><dt><span>short_name :</span></dt><dd>80u</dd><dt><span>standard_name :</span></dt><dd>eastward_wind</dd><dt><span>units :</span></dt><dd>m s-1</dd><dt><span>step_type :</span></dt><dd>instant</dd></dl></div><div class='xr-var-data'><pre>[122841586539 values with dtype=float32]</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>wind_v_80m</span></div><div class='xr-var-dims'>(time, y, x)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-3d6546e6-9fac-4dd5-b0bc-27d1e27cac42' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-3d6546e6-9fac-4dd5-b0bc-27d1e27cac42' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-8529f7dc-5b16-4961-9e95-36a6da0373d9' class='xr-var-data-in' type='checkbox'><label for='data-8529f7dc-5b16-4961-9e95-36a6da0373d9' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>80 metre V wind component</dd><dt><span>short_name :</span></dt><dd>80v</dd><dt><span>standard_name :</span></dt><dd>northward_wind</dd><dt><span>units :</span></dt><dd>m s-1</dd><dt><span>step_type :</span></dt><dd>instant</dd></dl></div><div class='xr-var-data'><pre>[122841586539 values with dtype=float32]</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>total_cloud_cover_atmosphere</span></div><div class='xr-var-dims'>(time, y, x)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-ebd709c6-7194-4a97-bea1-aa8fd7246899' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-ebd709c6-7194-4a97-bea1-aa8fd7246899' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-9ebdbab6-e7fa-4877-bacd-a99d33c804e9' class='xr-var-data-in' type='checkbox'><label for='data-9ebdbab6-e7fa-4877-bacd-a99d33c804e9' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>Total Cloud Cover</dd><dt><span>short_name :</span></dt><dd>tcc</dd><dt><span>standard_name :</span></dt><dd>cloud_area_fraction</dd><dt><span>units :</span></dt><dd>percent</dd><dt><span>step_type :</span></dt><dd>instant</dd></dl></div><div class='xr-var-data'><pre>[122841586539 values with dtype=float32]</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>wind_v_10m</span></div><div class='xr-var-dims'>(time, y, x)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-675caed0-b6e2-4110-93bf-ff972550981d' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-675caed0-b6e2-4110-93bf-ff972550981d' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-894dabde-73d5-4baa-b0b5-828abff60f9e' class='xr-var-data-in' type='checkbox'><label for='data-894dabde-73d5-4baa-b0b5-828abff60f9e' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>10 metre V wind component</dd><dt><span>short_name :</span></dt><dd>10v</dd><dt><span>standard_name :</span></dt><dd>northward_wind</dd><dt><span>units :</span></dt><dd>m s-1</dd><dt><span>step_type :</span></dt><dd>instant</dd></dl></div><div class='xr-var-data'><pre>[122841586539 values with dtype=float32]</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>relative_humidity_2m</span></div><div class='xr-var-dims'>(time, y, x)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-97f8f0c2-9d2f-4a08-92a5-4c9943424688' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-97f8f0c2-9d2f-4a08-92a5-4c9943424688' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-fb1e41e4-8ddb-42ea-8ecd-f619d868b04f' class='xr-var-data-in' type='checkbox'><label for='data-fb1e41e4-8ddb-42ea-8ecd-f619d868b04f' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>2 metre relative humidity</dd><dt><span>short_name :</span></dt><dd>2r</dd><dt><span>standard_name :</span></dt><dd>relative_humidity</dd><dt><span>units :</span></dt><dd>percent</dd><dt><span>step_type :</span></dt><dd>instant</dd></dl></div><div class='xr-var-data'><pre>[122841586539 values with dtype=float32]</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>wind_u_10m</span></div><div class='xr-var-dims'>(time, y, x)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-4b3aba3c-f02e-43ab-b506-d3a80b6b879e' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-4b3aba3c-f02e-43ab-b506-d3a80b6b879e' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-0009ec50-f50f-40ea-bb4f-25d5eb909497' class='xr-var-data-in' type='checkbox'><label for='data-0009ec50-f50f-40ea-bb4f-25d5eb909497' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>10 metre U wind component</dd><dt><span>short_name :</span></dt><dd>10u</dd><dt><span>standard_name :</span></dt><dd>eastward_wind</dd><dt><span>units :</span></dt><dd>m s-1</dd><dt><span>step_type :</span></dt><dd>instant</dd></dl></div><div class='xr-var-data'><pre>[122841586539 values with dtype=float32]</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>temperature_2m</span></div><div class='xr-var-dims'>(time, y, x)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-41bfdee4-c5ff-4eaa-a061-f0f5983de610' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-41bfdee4-c5ff-4eaa-a061-f0f5983de610' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-c3c21e7f-d3b9-4581-aa15-a01a18885ed1' class='xr-var-data-in' type='checkbox'><label for='data-c3c21e7f-d3b9-4581-aa15-a01a18885ed1' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>2 metre temperature</dd><dt><span>short_name :</span></dt><dd>2t</dd><dt><span>standard_name :</span></dt><dd>air_temperature</dd><dt><span>units :</span></dt><dd>degree_Celsius</dd><dt><span>step_type :</span></dt><dd>instant</dd></dl></div><div class='xr-var-data'><pre>[122841586539 values with dtype=float32]</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-c0a879d3-b1f0-456f-97a7-9015195354b1' class='xr-section-summary-in' type='checkbox' ><label for='section-c0a879d3-b1f0-456f-97a7-9015195354b1' class='xr-section-summary' >Indexes: <span>(3)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-index-name'><div>time</div></div><div class='xr-index-preview'>PandasIndex</div><input type='checkbox' disabled/><label></label><input id='index-764cd5c6-010c-4644-a816-721529e1d8c1' class='xr-index-data-in' type='checkbox'/><label for='index-764cd5c6-010c-4644-a816-721529e1d8c1' title='Show/Hide index repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-index-data'><pre>PandasIndex(DatetimeIndex(['2018-09-16 00:00:00', '2018-09-16 01:00:00',\n", | |
| " '2018-09-16 02:00:00', '2018-09-16 03:00:00',\n", | |
| " '2018-09-16 04:00:00', '2018-09-16 05:00:00',\n", | |
| " '2018-09-16 06:00:00', '2018-09-16 07:00:00',\n", | |
| " '2018-09-16 08:00:00', '2018-09-16 09:00:00',\n", | |
| " ...\n", | |
| " '2026-01-23 05:00:00', '2026-01-23 06:00:00',\n", | |
| " '2026-01-23 07:00:00', '2026-01-23 08:00:00',\n", | |
| " '2026-01-23 09:00:00', '2026-01-23 10:00:00',\n", | |
| " '2026-01-23 11:00:00', '2026-01-23 12:00:00',\n", | |
| " '2026-01-23 13:00:00', '2026-01-23 14:00:00'],\n", | |
| " dtype='datetime64[ns]', name='time', length=64479, freq=None))</pre></div></li><li class='xr-var-item'><div class='xr-index-name'><div>x</div></div><div class='xr-index-preview'>PandasIndex</div><input type='checkbox' disabled/><label></label><input id='index-5a8cd516-b6d8-402c-9e0a-43cf801833a7' class='xr-index-data-in' type='checkbox'/><label for='index-5a8cd516-b6d8-402c-9e0a-43cf801833a7' title='Show/Hide index repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-index-data'><pre>PandasIndex(Index([-2697520.142521929, -2694520.142521929, -2691520.142521929,\n", | |
| " -2688520.142521929, -2685520.142521929, -2682520.142521929,\n", | |
| " -2679520.142521929, -2676520.142521929, -2673520.142521929,\n", | |
| " -2670520.142521929,\n", | |
| " ...\n", | |
| " 2669479.857478071, 2672479.857478071, 2675479.857478071,\n", | |
| " 2678479.857478071, 2681479.857478071, 2684479.857478071,\n", | |
| " 2687479.857478071, 2690479.857478071, 2693479.857478071,\n", | |
| " 2696479.857478071],\n", | |
| " dtype='float64', name='x', length=1799))</pre></div></li><li class='xr-var-item'><div class='xr-index-name'><div>y</div></div><div class='xr-index-preview'>PandasIndex</div><input type='checkbox' disabled/><label></label><input id='index-0f7fc7a0-fa0b-4c85-b0eb-28cddbf4d306' class='xr-index-data-in' type='checkbox'/><label for='index-0f7fc7a0-fa0b-4c85-b0eb-28cddbf4d306' title='Show/Hide index repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-index-data'><pre>PandasIndex(Index([ 1586693.847443335, 1583693.847443335, 1580693.847443335,\n", | |
| " 1577693.847443335, 1574693.847443335, 1571693.847443335,\n", | |
| " 1568693.847443335, 1565693.847443335, 1562693.847443335,\n", | |
| " 1559693.847443335,\n", | |
| " ...\n", | |
| " -1560306.152556665, -1563306.152556665, -1566306.152556665,\n", | |
| " -1569306.152556665, -1572306.152556665, -1575306.152556665,\n", | |
| " -1578306.152556665, -1581306.152556665, -1584306.152556665,\n", | |
| " -1587306.152556665],\n", | |
| " dtype='float64', name='y', length=1059))</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-07a8d666-6de9-4db5-8590-9b7d38dccf3f' class='xr-section-summary-in' type='checkbox' checked><label for='section-07a8d666-6de9-4db5-8590-9b7d38dccf3f' class='xr-section-summary' >Attributes: <span>(9)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><dl class='xr-attrs'><dt><span>dataset_id :</span></dt><dd>noaa-hrrr-analysis</dd><dt><span>dataset_version :</span></dt><dd>0.1.0</dd><dt><span>name :</span></dt><dd>NOAA HRRR analysis</dd><dt><span>description :</span></dt><dd>Analysis data from the High-Resolution Rapid Refresh (HRRR) model operated by NOAA NWS NCEP.</dd><dt><span>attribution :</span></dt><dd>NOAA NWS NCEP HRRR data processed by dynamical.org from NOAA Open Data Dissemination archives.</dd><dt><span>spatial_domain :</span></dt><dd>Continental United States</dd><dt><span>spatial_resolution :</span></dt><dd>3 km</dd><dt><span>time_domain :</span></dt><dd>2018-09-16 00:00:00 UTC to Present</dd><dt><span>time_resolution :</span></dt><dd>1 hour</dd></dl></div></li></ul></div></div>" | |
| ], | |
| "text/plain": [ | |
| "<xarray.Dataset> Size: 10TB\n", | |
| "Dimensions: (time: 64479, y: 1059, x: 1799)\n", | |
| "Coordinates:\n", | |
| " longitude (y, x) float32 8MB ...\n", | |
| " latitude (y, x) float32 8MB ...\n", | |
| " * time (time) datetime64[ns] 516kB 2...\n", | |
| " spatial_ref int64 8B ...\n", | |
| " * x (x) float64 14kB -2.698e+06 ....\n", | |
| " * y (y) float64 8kB 1.587e+06 ......\n", | |
| "Data variables: (12/20)\n", | |
| " downward_short_wave_radiation_flux_surface (time, y, x) float32 491GB ...\n", | |
| " downward_long_wave_radiation_flux_surface (time, y, x) float32 491GB ...\n", | |
| " categorical_rain_surface (time, y, x) float32 491GB ...\n", | |
| " categorical_snow_surface (time, y, x) float32 491GB ...\n", | |
| " geopotential_height_cloud_ceiling (time, y, x) float32 491GB ...\n", | |
| " categorical_freezing_rain_surface (time, y, x) float32 491GB ...\n", | |
| " ... ...\n", | |
| " wind_v_80m (time, y, x) float32 491GB ...\n", | |
| " total_cloud_cover_atmosphere (time, y, x) float32 491GB ...\n", | |
| " wind_v_10m (time, y, x) float32 491GB ...\n", | |
| " relative_humidity_2m (time, y, x) float32 491GB ...\n", | |
| " wind_u_10m (time, y, x) float32 491GB ...\n", | |
| " temperature_2m (time, y, x) float32 491GB ...\n", | |
| "Attributes:\n", | |
| " dataset_id: noaa-hrrr-analysis\n", | |
| " dataset_version: 0.1.0\n", | |
| " name: NOAA HRRR analysis\n", | |
| " description: Analysis data from the High-Resolution Rapid Refresh...\n", | |
| " attribution: NOAA NWS NCEP HRRR data processed by dynamical.org f...\n", | |
| " spatial_domain: Continental United States\n", | |
| " spatial_resolution: 3 km\n", | |
| " time_domain: 2018-09-16 00:00:00 UTC to Present\n", | |
| " time_resolution: 1 hour" | |
| ] | |
| }, | |
| "execution_count": 3, | |
| "metadata": {}, | |
| "output_type": "execute_result" | |
| } | |
| ], | |
| "source": [ | |
| "import icechunk\n", | |
| "import xarray as xr\n", | |
| "import hvplot.xarray\n", | |
| "\n", | |
| "storage = icechunk.s3_storage(bucket=\"dynamical-noaa-hrrr\", prefix=\"noaa-hrrr-analysis/v0.1.0.icechunk/\", region=\"us-west-2\", anonymous=True)\n", | |
| "repo = icechunk.Repository.open(storage)\n", | |
| "session = repo.readonly_session(\"main\")\n", | |
| "ds_hrrr = xr.open_zarr(session.store, chunks=None)\n", | |
| "ds_hrrr" | |
| ] | |
| }, | |
| { | |
| "cell_type": "code", | |
| "execution_count": 4, | |
| "id": "4", | |
| "metadata": {}, | |
| "outputs": [], | |
| "source": [ | |
| "# HRRR data is distributed in a projected coordinate reference system and\n", | |
| "# we include its details in the dataset metadata (e.g. ds.rio.crs, ds.rio.transform()).\n", | |
| "\n", | |
| "# Use pyproj to transform the longitude and latitude of Chicago, IL into dataset x, y coordinates\n", | |
| "from pyproj import Transformer\n", | |
| "\n", | |
| "lon_lat_to_ds = Transformer.from_crs(\"EPSG:4326\", ds_hrrr.rio.crs, always_xy=True)\n", | |
| "x, y = lon_lat_to_ds.transform(lon_point, lat_point ) # 180 county rd, bourne, ma\n", | |
| "\n", | |
| "var = 'wind_v_10m'\n", | |
| "da_hrrr = ds_hrrr[var].sel(x=x, y=y, method=\"nearest\").sel(time=slice(start,stop )).load()" | |
| ] | |
| }, | |
| { | |
| "cell_type": "code", | |
| "execution_count": 5, | |
| "id": "163dd98f-850e-407d-9d7d-458f10833ff1", | |
| "metadata": {}, | |
| "outputs": [], | |
| "source": [ | |
| "hrrr_viz = da_hrrr.hvplot(x='time', grid=True, label='HRRR')" | |
| ] | |
| }, | |
| { | |
| "cell_type": "code", | |
| "execution_count": 6, | |
| "id": "3df53f1f-6f1d-450f-8033-4396783ee9bb", | |
| "metadata": {}, | |
| "outputs": [ | |
| { | |
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| ".xr-var-attrs-in:checked + label > .xr-icon-file-text2,\n", | |
| ".xr-var-data-in:checked + label > .xr-icon-database,\n", | |
| ".xr-index-data-in:checked + label > .xr-icon-database {\n", | |
| " color: var(--xr-font-color0);\n", | |
| " filter: drop-shadow(1px 1px 5px var(--xr-font-color2));\n", | |
| " stroke-width: 0.8px;\n", | |
| "}\n", | |
| "</style><pre class='xr-text-repr-fallback'><xarray.Dataset> Size: 1TB\n", | |
| "Dimensions: (time: 82920, latitude: 721, longitude: 1440)\n", | |
| "Coordinates:\n", | |
| " * latitude (latitude) float64 6kB 90.0 89.75 ... -89.75 -90.0\n", | |
| " * longitude (longitude) float64 12kB -180.0 -179.8 ... 179.8\n", | |
| " spatial_ref int64 8B ...\n", | |
| " * time (time) datetime64[ns] 663kB 2015-01-15 ... 2024-06...\n", | |
| "Data variables:\n", | |
| " precipitation_surface (time, latitude, longitude) float32 344GB dask.array<chunksize=(160, 145, 144), meta=np.ndarray>\n", | |
| " temperature_2m (time, latitude, longitude) float32 344GB dask.array<chunksize=(160, 145, 144), meta=np.ndarray>\n", | |
| " wind_u_10m (time, latitude, longitude) float32 344GB dask.array<chunksize=(160, 145, 144), meta=np.ndarray>\n", | |
| " wind_v_10m (time, latitude, longitude) float32 344GB dask.array<chunksize=(160, 145, 144), meta=np.ndarray>\n", | |
| "Attributes:\n", | |
| " attribution: NOAA NCEP GFS data processed by dynamical.org from N...\n", | |
| " description: Historical weather data from the Global Forecast Sys...\n", | |
| " id: noaa-gfs-analysis-hourly\n", | |
| " name: NOAA GFS analysis, hourly\n", | |
| " spatial_domain: Global\n", | |
| " spatial_resolution: 0.25 degrees (~20km)\n", | |
| " time_domain: 2015-01-15 00:00:00 UTC to 2024-07-01 00:00:00 UTC\n", | |
| " time_resolution: 1 hour</pre><div class='xr-wrap' style='display:none'><div class='xr-header'><div class='xr-obj-type'>xarray.Dataset</div></div><ul class='xr-sections'><li class='xr-section-item'><input id='section-76b291d1-b1a9-4ec7-a6fa-5a55d3e01a7a' class='xr-section-summary-in' type='checkbox' disabled ><label for='section-76b291d1-b1a9-4ec7-a6fa-5a55d3e01a7a' class='xr-section-summary' title='Expand/collapse section'>Dimensions:</label><div class='xr-section-inline-details'><ul class='xr-dim-list'><li><span class='xr-has-index'>time</span>: 82920</li><li><span class='xr-has-index'>latitude</span>: 721</li><li><span class='xr-has-index'>longitude</span>: 1440</li></ul></div><div class='xr-section-details'></div></li><li class='xr-section-item'><input id='section-1c76f57d-a1fe-4826-9bab-e3ebf07697e2' class='xr-section-summary-in' type='checkbox' checked><label for='section-1c76f57d-a1fe-4826-9bab-e3ebf07697e2' class='xr-section-summary' >Coordinates: <span>(4)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>latitude</span></div><div class='xr-var-dims'>(latitude)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>90.0 89.75 89.5 ... -89.75 -90.0</div><input id='attrs-afb34ef3-83d3-4929-b983-ec11e8427fdc' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-afb34ef3-83d3-4929-b983-ec11e8427fdc' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-28c29b07-cb22-48ee-88d8-ff5168457062' class='xr-var-data-in' type='checkbox'><label for='data-28c29b07-cb22-48ee-88d8-ff5168457062' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>Latitude</dd><dt><span>statistics_approximate :</span></dt><dd>{'max': 90.0, 'mean': 0.0, 'min': -90.0}</dd><dt><span>units :</span></dt><dd>decimal degrees</dd></dl></div><div class='xr-var-data'><pre>array([ 90. , 89.75, 89.5 , ..., -89.5 , -89.75, -90. ], shape=(721,))</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>longitude</span></div><div class='xr-var-dims'>(longitude)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>-180.0 -179.8 ... 179.5 179.8</div><input id='attrs-4bdfed13-c7bf-44d5-a112-d39bd9cee993' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-4bdfed13-c7bf-44d5-a112-d39bd9cee993' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-7a98a604-84c8-4b6b-8e5d-4a63b4730446' class='xr-var-data-in' type='checkbox'><label for='data-7a98a604-84c8-4b6b-8e5d-4a63b4730446' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>Longitude</dd><dt><span>statistics_approximate :</span></dt><dd>{'max': 179.75, 'mean': -0.125, 'min': -180.0}</dd><dt><span>units :</span></dt><dd>decimal degrees</dd></dl></div><div class='xr-var-data'><pre>array([-180. , -179.75, -179.5 , ..., 179.25, 179.5 , 179.75],\n", | |
| " shape=(1440,))</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>spatial_ref</span></div><div class='xr-var-dims'>()</div><div class='xr-var-dtype'>int64</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-d6164e2f-6fc6-4d84-a54a-59e20bd4c4f2' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-d6164e2f-6fc6-4d84-a54a-59e20bd4c4f2' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-6f7ce4a5-8cef-4e54-8696-313544f68c59' class='xr-var-data-in' type='checkbox'><label for='data-6f7ce4a5-8cef-4e54-8696-313544f68c59' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>crs_wkt :</span></dt><dd>GEOGCS["WGS 84",DATUM["WGS_1984",SPHEROID["WGS 84",6378137,298.257223563,AUTHORITY["EPSG","7030"]],AUTHORITY["EPSG","6326"]],PRIMEM["Greenwich",0,AUTHORITY["EPSG","8901"]],UNIT["degree",0.0174532925199433,AUTHORITY["EPSG","9122"]],AXIS["Latitude",NORTH],AXIS["Longitude",EAST],AUTHORITY["EPSG","4326"]]</dd><dt><span>geographic_crs_name :</span></dt><dd>WGS 84</dd><dt><span>grid_mapping_name :</span></dt><dd>latitude_longitude</dd><dt><span>horizontal_datum_name :</span></dt><dd>World Geodetic System 1984</dd><dt><span>inverse_flattening :</span></dt><dd>298.257223563</dd><dt><span>longitude_of_prime_meridian :</span></dt><dd>0.0</dd><dt><span>prime_meridian_name :</span></dt><dd>Greenwich</dd><dt><span>reference_ellipsoid_name :</span></dt><dd>WGS 84</dd><dt><span>semi_major_axis :</span></dt><dd>6378137.0</dd><dt><span>semi_minor_axis :</span></dt><dd>6356752.314245179</dd><dt><span>spatial_ref :</span></dt><dd>GEOGCS["WGS 84",DATUM["WGS_1984",SPHEROID["WGS 84",6378137,298.257223563,AUTHORITY["EPSG","7030"]],AUTHORITY["EPSG","6326"]],PRIMEM["Greenwich",0,AUTHORITY["EPSG","8901"]],UNIT["degree",0.0174532925199433,AUTHORITY["EPSG","9122"]],AXIS["Latitude",NORTH],AXIS["Longitude",EAST],AUTHORITY["EPSG","4326"]]</dd></dl></div><div class='xr-var-data'><pre>[1 values with dtype=int64]</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>time</span></div><div class='xr-var-dims'>(time)</div><div class='xr-var-dtype'>datetime64[ns]</div><div class='xr-var-preview xr-preview'>2015-01-15 ... 2024-06-30T23:00:00</div><input id='attrs-2faef8d5-63e0-434c-b875-4c0fa96f5851' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-2faef8d5-63e0-434c-b875-4c0fa96f5851' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-dfb2026a-26b2-437d-bda0-080f86c94f1c' class='xr-var-data-in' type='checkbox'><label for='data-dfb2026a-26b2-437d-bda0-080f86c94f1c' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>Time</dd><dt><span>statistics_approximate :</span></dt><dd>{'max': '2024-06-30 23:00:00 UTC', 'mean': '2019-10-08 11:30:00 UTC', 'min': '2015-01-15 00:00:00 UTC'}</dd></dl></div><div class='xr-var-data'><pre>array(['2015-01-15T00:00:00.000000000', '2015-01-15T01:00:00.000000000',\n", | |
| " '2015-01-15T02:00:00.000000000', ..., '2024-06-30T21:00:00.000000000',\n", | |
| " '2024-06-30T22:00:00.000000000', '2024-06-30T23:00:00.000000000'],\n", | |
| " shape=(82920,), dtype='datetime64[ns]')</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-7c9b2fb1-b526-462f-a7c9-39e9ef852e05' class='xr-section-summary-in' type='checkbox' checked><label for='section-7c9b2fb1-b526-462f-a7c9-39e9ef852e05' class='xr-section-summary' >Data variables: <span>(4)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-var-name'><span>precipitation_surface</span></div><div class='xr-var-dims'>(time, latitude, longitude)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>dask.array<chunksize=(160, 145, 144), meta=np.ndarray></div><input id='attrs-8432bb0a-cce6-4156-b198-c8cadf5c1167' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-8432bb0a-cce6-4156-b198-c8cadf5c1167' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-76f80063-b876-42f2-b0c8-3526cbae6648' class='xr-var-data-in' type='checkbox'><label for='data-76f80063-b876-42f2-b0c8-3526cbae6648' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>grid_mapping :</span></dt><dd>spatial_ref</dd><dt><span>long_name :</span></dt><dd>Precipitation rate at earth surface</dd><dt><span>statistics_approximate :</span></dt><dd>{'max': 0.04474, 'mean': 2.911e-05, 'min': 0.0}</dd><dt><span>units :</span></dt><dd>kg/(m^2 s)</dd></dl></div><div class='xr-var-data'><table>\n", | |
| " <tr>\n", | |
| " <td>\n", | |
| " <table style=\"border-collapse: collapse;\">\n", | |
| " <thead>\n", | |
| " <tr>\n", | |
| " <td> </td>\n", | |
| " <th> Array </th>\n", | |
| " <th> Chunk </th>\n", | |
| " </tr>\n", | |
| " </thead>\n", | |
| " <tbody>\n", | |
| " \n", | |
| " <tr>\n", | |
| " <th> Bytes </th>\n", | |
| " <td> 320.71 GiB </td>\n", | |
| " <td> 12.74 MiB </td>\n", | |
| " </tr>\n", | |
| " \n", | |
| " <tr>\n", | |
| " <th> Shape </th>\n", | |
| " <td> (82920, 721, 1440) </td>\n", | |
| " <td> (160, 145, 144) </td>\n", | |
| " </tr>\n", | |
| " <tr>\n", | |
| " <th> Dask graph </th>\n", | |
| " <td colspan=\"2\"> 25950 chunks in 2 graph layers </td>\n", | |
| " </tr>\n", | |
| " <tr>\n", | |
| " <th> Data type </th>\n", | |
| " <td colspan=\"2\"> float32 numpy.ndarray </td>\n", | |
| " </tr>\n", | |
| " </tbody>\n", | |
| " </table>\n", | |
| " </td>\n", | |
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| "</table></div></li><li class='xr-var-item'><div class='xr-var-name'><span>temperature_2m</span></div><div class='xr-var-dims'>(time, latitude, longitude)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>dask.array<chunksize=(160, 145, 144), meta=np.ndarray></div><input id='attrs-9c22f1c4-b9d5-4594-8ed3-7051bf98b2e5' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-9c22f1c4-b9d5-4594-8ed3-7051bf98b2e5' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-ef94dd05-cbfc-49f8-9991-d3539bd2788c' class='xr-var-data-in' type='checkbox'><label for='data-ef94dd05-cbfc-49f8-9991-d3539bd2788c' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>grid_mapping :</span></dt><dd>spatial_ref</dd><dt><span>long_name :</span></dt><dd>Temperature 2 meters above earth surface</dd><dt><span>statistics_approximate :</span></dt><dd>{'max': 53.25, 'mean': 6.041, 'min': -79.5}</dd><dt><span>units :</span></dt><dd>C</dd></dl></div><div class='xr-var-data'><table>\n", | |
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| " <td>\n", | |
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| " <thead>\n", | |
| " <tr>\n", | |
| " <td> </td>\n", | |
| " <th> Array </th>\n", | |
| " <th> Chunk </th>\n", | |
| " </tr>\n", | |
| " </thead>\n", | |
| " <tbody>\n", | |
| " \n", | |
| " <tr>\n", | |
| " <th> Bytes </th>\n", | |
| " <td> 320.71 GiB </td>\n", | |
| " <td> 12.74 MiB </td>\n", | |
| " </tr>\n", | |
| " \n", | |
| " <tr>\n", | |
| " <th> Shape </th>\n", | |
| " <td> (82920, 721, 1440) </td>\n", | |
| " <td> (160, 145, 144) </td>\n", | |
| " </tr>\n", | |
| " <tr>\n", | |
| " <th> Dask graph </th>\n", | |
| " <td colspan=\"2\"> 25950 chunks in 2 graph layers </td>\n", | |
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| " <tr>\n", | |
| " <th> Data type </th>\n", | |
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| "</table></div></li><li class='xr-var-item'><div class='xr-var-name'><span>wind_u_10m</span></div><div class='xr-var-dims'>(time, latitude, longitude)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>dask.array<chunksize=(160, 145, 144), meta=np.ndarray></div><input id='attrs-fd99592a-500b-4762-8d8d-57110745caa9' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-fd99592a-500b-4762-8d8d-57110745caa9' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-3d436950-af44-44cc-bd13-46039f10c8a5' class='xr-var-data-in' type='checkbox'><label for='data-3d436950-af44-44cc-bd13-46039f10c8a5' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>grid_mapping :</span></dt><dd>spatial_ref</dd><dt><span>long_name :</span></dt><dd>Wind speed u-component 10 meters above earth surface</dd><dt><span>statistics_approximate :</span></dt><dd>{'max': 87.5, 'mean': -0.00644, 'min': -96.88}</dd><dt><span>units :</span></dt><dd>m/s</dd></dl></div><div class='xr-var-data'><table>\n", | |
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| " <tbody>\n", | |
| " \n", | |
| " <tr>\n", | |
| " <th> Bytes </th>\n", | |
| " <td> 320.71 GiB </td>\n", | |
| " <td> 12.74 MiB </td>\n", | |
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| " \n", | |
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| " <th> Shape </th>\n", | |
| " <td> (82920, 721, 1440) </td>\n", | |
| " <td> (160, 145, 144) </td>\n", | |
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| " <th> Dask graph </th>\n", | |
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| "</table></div></li><li class='xr-var-item'><div class='xr-var-name'><span>wind_v_10m</span></div><div class='xr-var-dims'>(time, latitude, longitude)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>dask.array<chunksize=(160, 145, 144), meta=np.ndarray></div><input id='attrs-c8644c4f-e013-46ea-879b-ba0900199a84' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-c8644c4f-e013-46ea-879b-ba0900199a84' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-b892aa84-c9fe-4fbd-81d2-aa348aefa217' class='xr-var-data-in' type='checkbox'><label for='data-b892aa84-c9fe-4fbd-81d2-aa348aefa217' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>grid_mapping :</span></dt><dd>spatial_ref</dd><dt><span>long_name :</span></dt><dd>Wind speed v-component 10 meters above earth surface</dd><dt><span>statistics_approximate :</span></dt><dd>{'max': 89.0, 'mean': 0.1571, 'min': -87.88}</dd><dt><span>units :</span></dt><dd>m/s</dd></dl></div><div class='xr-var-data'><table>\n", | |
| " <tr>\n", | |
| " <td>\n", | |
| " <table style=\"border-collapse: collapse;\">\n", | |
| " <thead>\n", | |
| " <tr>\n", | |
| " <td> </td>\n", | |
| " <th> Array </th>\n", | |
| " <th> Chunk </th>\n", | |
| " </tr>\n", | |
| " </thead>\n", | |
| " <tbody>\n", | |
| " \n", | |
| " <tr>\n", | |
| " <th> Bytes </th>\n", | |
| " <td> 320.71 GiB </td>\n", | |
| " <td> 12.74 MiB </td>\n", | |
| " </tr>\n", | |
| " \n", | |
| " <tr>\n", | |
| " <th> Shape </th>\n", | |
| " <td> (82920, 721, 1440) </td>\n", | |
| " <td> (160, 145, 144) </td>\n", | |
| " </tr>\n", | |
| " <tr>\n", | |
| " <th> Dask graph </th>\n", | |
| " <td colspan=\"2\"> 25950 chunks in 2 graph layers </td>\n", | |
| " </tr>\n", | |
| " <tr>\n", | |
| " <th> Data type </th>\n", | |
| " <td colspan=\"2\"> float32 numpy.ndarray </td>\n", | |
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| "</table></div></li></ul></div></li><li class='xr-section-item'><input id='section-34bd443a-5183-4582-b6cb-69aaa4be7529' class='xr-section-summary-in' type='checkbox' ><label for='section-34bd443a-5183-4582-b6cb-69aaa4be7529' class='xr-section-summary' >Indexes: <span>(3)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-index-name'><div>latitude</div></div><div class='xr-index-preview'>PandasIndex</div><input type='checkbox' disabled/><label></label><input id='index-63471b58-ca31-4382-83b5-810fc0b49425' class='xr-index-data-in' type='checkbox'/><label for='index-63471b58-ca31-4382-83b5-810fc0b49425' title='Show/Hide index repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-index-data'><pre>PandasIndex(Index([ 90.0, 89.75, 89.5, 89.25, 89.0, 88.75, 88.5, 88.25, 88.0,\n", | |
| " 87.75,\n", | |
| " ...\n", | |
| " -87.75, -88.0, -88.25, -88.5, -88.75, -89.0, -89.25, -89.5, -89.75,\n", | |
| " -90.0],\n", | |
| " dtype='float64', name='latitude', length=721))</pre></div></li><li class='xr-var-item'><div class='xr-index-name'><div>longitude</div></div><div class='xr-index-preview'>PandasIndex</div><input type='checkbox' disabled/><label></label><input id='index-cd9f8ffc-7ac2-4ec7-a108-53829a9c539a' class='xr-index-data-in' type='checkbox'/><label for='index-cd9f8ffc-7ac2-4ec7-a108-53829a9c539a' title='Show/Hide index repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-index-data'><pre>PandasIndex(Index([ -180.0, -179.75, -179.5, -179.25, -179.0, -178.75, -178.5, -178.25,\n", | |
| " -178.0, -177.75,\n", | |
| " ...\n", | |
| " 177.5, 177.75, 178.0, 178.25, 178.5, 178.75, 179.0, 179.25,\n", | |
| " 179.5, 179.75],\n", | |
| " dtype='float64', name='longitude', length=1440))</pre></div></li><li class='xr-var-item'><div class='xr-index-name'><div>time</div></div><div class='xr-index-preview'>PandasIndex</div><input type='checkbox' disabled/><label></label><input id='index-7c448796-a8f1-4115-8535-61902c7781f7' class='xr-index-data-in' type='checkbox'/><label for='index-7c448796-a8f1-4115-8535-61902c7781f7' title='Show/Hide index repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-index-data'><pre>PandasIndex(DatetimeIndex(['2015-01-15 00:00:00', '2015-01-15 01:00:00',\n", | |
| " '2015-01-15 02:00:00', '2015-01-15 03:00:00',\n", | |
| " '2015-01-15 04:00:00', '2015-01-15 05:00:00',\n", | |
| " '2015-01-15 06:00:00', '2015-01-15 07:00:00',\n", | |
| " '2015-01-15 08:00:00', '2015-01-15 09:00:00',\n", | |
| " ...\n", | |
| " '2024-06-30 14:00:00', '2024-06-30 15:00:00',\n", | |
| " '2024-06-30 16:00:00', '2024-06-30 17:00:00',\n", | |
| " '2024-06-30 18:00:00', '2024-06-30 19:00:00',\n", | |
| " '2024-06-30 20:00:00', '2024-06-30 21:00:00',\n", | |
| " '2024-06-30 22:00:00', '2024-06-30 23:00:00'],\n", | |
| " dtype='datetime64[ns]', name='time', length=82920, freq=None))</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-070a18be-0c37-4410-bdeb-5cdc2b4e37bd' class='xr-section-summary-in' type='checkbox' checked><label for='section-070a18be-0c37-4410-bdeb-5cdc2b4e37bd' class='xr-section-summary' >Attributes: <span>(8)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><dl class='xr-attrs'><dt><span>attribution :</span></dt><dd>NOAA NCEP GFS data processed by dynamical.org from NCAR and NOAA BDP AWS archives.</dd><dt><span>description :</span></dt><dd>Historical weather data from the Global Forecast System (GFS) model operated by NOAA NCEP.</dd><dt><span>id :</span></dt><dd>noaa-gfs-analysis-hourly</dd><dt><span>name :</span></dt><dd>NOAA GFS analysis, hourly</dd><dt><span>spatial_domain :</span></dt><dd>Global</dd><dt><span>spatial_resolution :</span></dt><dd>0.25 degrees (~20km)</dd><dt><span>time_domain :</span></dt><dd>2015-01-15 00:00:00 UTC to 2024-07-01 00:00:00 UTC</dd><dt><span>time_resolution :</span></dt><dd>1 hour</dd></dl></div></li></ul></div></div>" | |
| ], | |
| "text/plain": [ | |
| "<xarray.Dataset> Size: 1TB\n", | |
| "Dimensions: (time: 82920, latitude: 721, longitude: 1440)\n", | |
| "Coordinates:\n", | |
| " * latitude (latitude) float64 6kB 90.0 89.75 ... -89.75 -90.0\n", | |
| " * longitude (longitude) float64 12kB -180.0 -179.8 ... 179.8\n", | |
| " spatial_ref int64 8B ...\n", | |
| " * time (time) datetime64[ns] 663kB 2015-01-15 ... 2024-06...\n", | |
| "Data variables:\n", | |
| " precipitation_surface (time, latitude, longitude) float32 344GB dask.array<chunksize=(160, 145, 144), meta=np.ndarray>\n", | |
| " temperature_2m (time, latitude, longitude) float32 344GB dask.array<chunksize=(160, 145, 144), meta=np.ndarray>\n", | |
| " wind_u_10m (time, latitude, longitude) float32 344GB dask.array<chunksize=(160, 145, 144), meta=np.ndarray>\n", | |
| " wind_v_10m (time, latitude, longitude) float32 344GB dask.array<chunksize=(160, 145, 144), meta=np.ndarray>\n", | |
| "Attributes:\n", | |
| " attribution: NOAA NCEP GFS data processed by dynamical.org from N...\n", | |
| " description: Historical weather data from the Global Forecast Sys...\n", | |
| " id: noaa-gfs-analysis-hourly\n", | |
| " name: NOAA GFS analysis, hourly\n", | |
| " spatial_domain: Global\n", | |
| " spatial_resolution: 0.25 degrees (~20km)\n", | |
| " time_domain: 2015-01-15 00:00:00 UTC to 2024-07-01 00:00:00 UTC\n", | |
| " time_resolution: 1 hour" | |
| ] | |
| }, | |
| "execution_count": 6, | |
| "metadata": {}, | |
| "output_type": "execute_result" | |
| } | |
| ], | |
| "source": [ | |
| "ds_gfs = xr.open_zarr(\"https://data.dynamical.org/noaa/gfs/analysis-hourly/latest.zarr?email=optional@email.com\")\n", | |
| "ds_gfs" | |
| ] | |
| }, | |
| { | |
| "cell_type": "code", | |
| "execution_count": 7, | |
| "id": "f06cb3d6-656e-4c48-85e0-0d089992bd11", | |
| "metadata": {}, | |
| "outputs": [], | |
| "source": [ | |
| "da_gfs = (ds_gfs[var].sel(latitude=lat_point, longitude=lon_point, method=\"nearest\")\n", | |
| " .sel(time=slice(start, stop))).load()" | |
| ] | |
| }, | |
| { | |
| "cell_type": "code", | |
| "execution_count": 8, | |
| "id": "001f4628-72cb-408f-8b70-5d59b711ab32", | |
| "metadata": {}, | |
| "outputs": [], | |
| "source": [ | |
| "gfs_viz = da_gfs.hvplot(x='time', grid=True, label='GFS')" | |
| ] | |
| }, | |
| { | |
| "cell_type": "code", | |
| "execution_count": 9, | |
| "id": "76ebe731-5ff8-4980-8113-fccd218fd660", | |
| "metadata": {}, | |
| "outputs": [ | |
| { | |
| "data": {}, | |
| "metadata": {}, | |
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| |
| " var render_items = [{\"docid\":\"14e8a467-d61f-4692-97e0-a3d2d0aa624a\",\"roots\":{\"1e21022e-6353-4359-b805-784d6dfa01fb\":\"dd1fc88e-d8f4-4011-bdbe-f53bb36da093\"},\"root_ids\":[\"1e21022e-6353-4359-b805-784d6dfa01fb\"]}];\n", | |
| " var docs = Object.values(docs_json)\n", | |
| " if (!docs) {\n", | |
| " return\n", | |
| " }\n", | |
| " const py_version = docs[0].version.replace('rc', '-rc.').replace('.dev', '-dev.')\n", | |
| " async function embed_document(root) {\n", | |
| " var Bokeh = get_bokeh(root)\n", | |
| " await Bokeh.embed.embed_items_notebook(docs_json, render_items);\n", | |
| " for (const render_item of render_items) {\n", | |
| " for (const root_id of render_item.root_ids) {\n", | |
| "\tconst id_el = document.getElementById(root_id)\n", | |
| "\tif (id_el.children.length && id_el.children[0].hasAttribute('data-root-id')) {\n", | |
| "\t const root_el = id_el.children[0]\n", | |
| "\t root_el.id = root_el.id + '-rendered'\n", | |
| "\t for (const child of root_el.children) {\n", | |
| " // Ensure JupyterLab does not capture keyboard shortcuts\n", | |
| " // see: https://jupyterlab.readthedocs.io/en/4.1.x/extension/notebook.html#keyboard-interaction-model\n", | |
| "\t child.setAttribute('data-lm-suppress-shortcuts', 'true')\n", | |
| "\t }\n", | |
| "\t}\n", | |
| " }\n", | |
| " }\n", | |
| " }\n", | |
| " function get_bokeh(root) {\n", | |
| " if (root.Bokeh === undefined) {\n", | |
| " return null\n", | |
| " } else if (root.Bokeh.version !== py_version) {\n", | |
| " if (root.Bokeh.versions === undefined || !root.Bokeh.versions.has(py_version)) {\n", | |
| "\treturn null\n", | |
| " }\n", | |
| " return root.Bokeh.versions.get(py_version);\n", | |
| " } else if (root.Bokeh.version === py_version) {\n", | |
| " return root.Bokeh\n", | |
| " }\n", | |
| " return null\n", | |
| " }\n", | |
| " function is_loaded(root) {\n", | |
| " var Bokeh = get_bokeh(root)\n", | |
| " return (Bokeh != null && Bokeh.Panel !== undefined)\n", | |
| " }\n", | |
| " if (is_loaded(root)) {\n", | |
| " embed_document(root);\n", | |
| " } else {\n", | |
| " var attempts = 0;\n", | |
| " var timer = setInterval(function(root) {\n", | |
| " if (is_loaded(root)) {\n", | |
| " clearInterval(timer);\n", | |
| " embed_document(root);\n", | |
| " } else if (document.readyState == \"complete\") {\n", | |
| " attempts++;\n", | |
| " if (attempts > 200) {\n", | |
| " clearInterval(timer);\n", | |
| "\t var Bokeh = get_bokeh(root)\n", | |
| "\t if (Bokeh == null || Bokeh.Panel == null) {\n", | |
| " console.warn(\"Panel: ERROR: Unable to run Panel code because Bokeh or Panel library is missing\");\n", | |
| "\t } else {\n", | |
| "\t console.warn(\"Panel: WARNING: Attempting to render but not all required libraries could be resolved.\")\n", | |
| "\t embed_document(root)\n", | |
| "\t }\n", | |
| " }\n", | |
| " }\n", | |
| " }, 25, root)\n", | |
| " }\n", | |
| "})(window);</script>" | |
| ], | |
| "text/plain": [ | |
| ":Overlay\n", | |
| " .Curve.HRRR :Curve [time] (10 metre V wind component)\n", | |
| " .Curve.GFS :Curve [time] (Wind speed v-component 10 meters above earth surface)" | |
| ] | |
| }, | |
| "execution_count": 9, | |
| "metadata": { | |
| "application/vnd.holoviews_exec.v0+json": { | |
| "id": "1e21022e-6353-4359-b805-784d6dfa01fb" | |
| } | |
| }, | |
| "output_type": "execute_result" | |
| } | |
| ], | |
| "source": [ | |
| "(hrrr_viz * gfs_viz).opts(title=f'10m North Wind:({lon_point}, {lat_point}))')" | |
| ] | |
| } | |
| ], | |
| "metadata": { | |
| "kernelspec": { | |
| "display_name": "Python [conda env:pangeo_z3]", | |
| "language": "python", | |
| "name": "conda-env-pangeo_z3-py" | |
| }, | |
| "language_info": { | |
| "codemirror_mode": { | |
| "name": "ipython", | |
| "version": 3 | |
| }, | |
| "file_extension": ".py", | |
| "mimetype": "text/x-python", | |
| "name": "python", | |
| "nbconvert_exporter": "python", | |
| "pygments_lexer": "ipython3", | |
| "version": "3.12.11" | |
| }, | |
| "widgets": { | |
| "application/vnd.jupyter.widget-state+json": { | |
| "state": {}, | |
| "version_major": 2, | |
| "version_minor": 0 | |
| } | |
| } | |
| }, | |
| "nbformat": 4, | |
| "nbformat_minor": 5 | |
| } |
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