29:null 2a:["$","title",null,{"children":"🌡️ Meteorological Data Access | EarthScope Consortium | Observable"}] 2f:Td43,// This map will redraw if the underlying data specifying the markers on the map changes. // To preserve state, we redraw polygons in the event tileMap is reevaluated. viewof tileMap = { const container = html`

`; yield container; // Give the container dimensions. const map = (container.value = new mapboxgl.Map({ container, center: timeTable ? siteCodeMap.get(timeTable.Site)[0].geometry.coordinates.slice(0, 2) : [0, 0], zoom: timeTable ? 8 : 1, style: "mapbox://styles/mapbox/streets-v11", scrollZoom: true })); map.addControl(new mapboxgl.FullscreenControl()); if (Object.keys(stationIndex).length == 0) { var draw = new MapboxDraw({ displayControlsDefault: false, controls: { polygon: true, trash: true }, defaultMode: "draw_polygon" }); map.addControl(draw, "top-left"); // Redraw previously drawn polygons, if any. for (let id in polygons) { draw.add({ type: "Feature", properties: { type: "Feature" }, id: id, geometry: { type: "Polygon", coordinates: [polygons[id]] } // Note, coordinates is an array of (one) polygon. }); // Add a Polygon feature. } } // Add a polygon, index by ID. map.on("draw.create", (e) => { let feature = e.features[0]; mutable polygons[feature.id] = feature.geometry.coordinates[0]; mutable signal *= -1; }); // Remove a polygon by ID. map.on("draw.delete", (e) => { let feature = e.features[0]; delete mutable polygons[feature.id]; mutable signal *= -1; }); // Update a polygon by ID. map.on("draw.update", (e) => { let feature = e.features[0]; mutable polygons[feature.id] = feature.geometry.coordinates[0]; mutable signal *= -1; }); // returns coordinates of added station function addStation2Map(code) { const features = siteCodeMap.get(code); let hasGnss = locationHasType(code, "rinex"); const feature = features[0]; var el = document.createElement("div"); el.className = "marker"; // el.style["text-shadow"] = "#6e5c4b 1px 0 10px"; el.innerHTML = "" + code + ""; el.style.color = markerColor; new mapboxgl.Marker(el).setLngLat(feature.geometry.coordinates).addTo(map); return feature.geometry.coordinates; } // Only render the list of station codes entered by the user. if (stationSelection.length) { let coordinates = []; for (const code of Object.keys(stationIndex)) { try { coordinates.push(addStation2Map(code)); } catch (e) { console.log("error adding station to map", e); } } // Zoom to centroid. try { map.flyTo({ zoom: 3, center: [ d3.mean(coordinates, (d) => d[0]), d3.mean(coordinates, (d) => d[1]) ] }); } catch (e) { console.log("Error flying to centroid of station selection."); } } else { // Place markers on the map to represent geodetic locations. Only draw one marker for each site code. Ultimate selection by the user // May have multiple site IDs selected for a given site code, as specified by selections made in the time section. for (const code of siteCodeMap.keys()) { addStation2Map(code); } mutable signal *= -1; } invalidation.then(() => map.remove()); }30:T625,readmeText = { signal; return `© ${d3.timeFormat("%Y")(today)} NSF GAGE Facility Recreate me here: ${shareableUrl} Contact data-help@earthscope.org with questions, concerns, or 🐛 reports. This Downloader was created on ${readableDateFormat(today)}. The list of files to be downloaded by this downloader are located in files-download.txt in this directory. There is ${bytesToString(summary.overall_file_size)} of data in ${d3.format( "," )( summary.overall_number_files )} files available for download by running the scripts described below. This list of files was gathered with the following selections: ${startDate} through ${endDate} Stations: ${polygonTableData.map((d) => d.site_code).join("\n")} Selection Areas [longitude, latitude]: ${Object.keys(polygons) .map((id) => JSON.stringify(polygons[id])) .join("\n\n")} To DOWNLOAD your files, run the following command appropriate to your operating system: BASH (MAC, terminal in this directory): ~~~sh sh download_data.sh ~~~ Python 3 installed? (MAC, terminal in this directory): ~~~sh python download_data.py ~~~ Powershell (WINDOWS, file explorer in this directory): ~~~ 1. Right click download_data.ps1 and choose "Run wih PowerShell" 2. Enter the location to save the files in, such as Downloads, Documents, or Documents\\folder_name. 3. Enter the path to the .txt file containing the ftp download paths. ~~~ Your files will be downloaded to this directory. This may take a bit of time if you have a large number of files. You might consider going to grab a coffee.`; }31:[{"id":"b223afb42f40acb18cec9abb1a78824da1a8dbf37e6aed8fefc5baddbfe99a4ad2e578cccaad1fe8b89a73311db0477986db950cb8c2604ca3a5fb7bd38378b4","href":"https://static.observableusercontent.com/files/b223afb42f40acb18cec9abb1a78824da1a8dbf37e6aed8fefc5baddbfe99a4ad2e578cccaad1fe8b89a73311db0477986db950cb8c2604ca3a5fb7bd38378b4","name":"UNAVCO_says_unzip_and_run_me.zip","type":"application/zip","lastModified":1646147563063.324,"size":4380},{"id":"d680d3eadc1f447626bc65dd96cf3c4be390554ef62ba4ff86b41e9b2628d807feb1d178bfba48e61499f7b5829d56d3dc6bf1bd043cf9093bce4be5abe30765","href":"https://static.observableusercontent.com/files/d680d3eadc1f447626bc65dd96cf3c4be390554ef62ba4ff86b41e9b2628d807feb1d178bfba48e61499f7b5829d56d3dc6bf1bd043cf9093bce4be5abe30765","name":"delete_icon.svg","type":"image/svg+xml","lastModified":1646147563063.324,"size":227},{"id":"98fb36128b451d35d768a9943c6af81c129feccfde87a214495366414fd17934a1c79eedace54547a651b00328da90a5ed2c8dc88dadb543fc920cd5a1442fdd","href":"https://static.observableusercontent.com/files/98fb36128b451d35d768a9943c6af81c129feccfde87a214495366414fd17934a1c79eedace54547a651b00328da90a5ed2c8dc88dadb543fc920cd5a1442fdd","name":"map_draw_button.svg","type":"image/svg+xml","lastModified":1646147563063.324,"size":331},{"id":"afc9234ecbd7f55786b468823f41555414bc4a1815eef7bdd317f71ea7a890d2aa3f7f02f78987d5eddd7db1649e525e090f7d6ebd939d9acea85827c3f0faec","href":"https://static.observableusercontent.com/files/afc9234ecbd7f55786b468823f41555414bc4a1815eef7bdd317f71ea7a890d2aa3f7f02f78987d5eddd7db1649e525e090f7d6ebd939d9acea85827c3f0faec","name":"vaisala_metpack.jpeg","type":"image/jpeg","lastModified":1646147668236.419,"size":558687}] 2d:{"id":"d74dac9158052504","slug":null,"title":"🌡️ Meteorological Data Access","thumbnail":"09635d89654bb2f4118077cf9aed5d8cefa29d19d672c64f9ca1d1327c7225c4","access_level":"public","create_time":"$D2022-03-01T15:12:43.063Z","update_time":"$D2024-05-25T00:32:38.919Z","view_time":null,"first_public_time":"$D2022-03-02T13:29:07.577Z","fork":{"id":"21292c9e74eebd3b","slug":"gnss-data-access","title":"GNSS Permanent Station Data Access 3.0","owner":{"id":"a505e42d43acc70e","login":"earthscope","name":"EarthScope Consortium"}},"stars":0,"starred":false,"owner":{"type":"team","id":"a505e42d43acc70e","login":"earthscope","name":"EarthScope Consortium","avatar_url":"https://avatars-next.observableusercontent.com/67b67628e86b445b34c9523269b6dd272fcc1cf8cc712983d6749ffdfda4c553","tier":"enterprise_2024"},"version":9236,"publish_version":null,"role":null,"authored":false,"authors":[{"type":"individual","id":"f11356ce54f25c8b","login":"bmershon","name":"Brooks Mershon","avatar_url":"https://avatars-next.observableusercontent.com/5331359238b7666c1cb986b48f8e69f0c357feba767a709324063cd52818c420","tier":null}],"members":[{"type":"group","id":"546bb3214a24e250","login":"a34a9fbd3c558b3f","name":"EarthScope Dev","avatar_url":null,"tier":"public","role":"editor"},{"type":"individual","id":"f11356ce54f25c8b","login":"bmershon","name":"Brooks Mershon","avatar_url":"https://avatars-next.observableusercontent.com/5331359238b7666c1cb986b48f8e69f0c357feba767a709324063cd52818c420","tier":null,"role":"editor"},{"type":"team","id":"a505e42d43acc70e","login":"earthscope","name":"EarthScope Consortium","avatar_url":"https://avatars-next.observableusercontent.com/67b67628e86b445b34c9523269b6dd272fcc1cf8cc712983d6749ffdfda4c553","tier":"enterprise_2024","role":"editor"}],"comments":[],"custom_thumbnail":true,"trashed":false,"subscribed":null,"forks":0,"collection":{"id":"91bfcf0625988c7a","slug":"nsf-gage-facility-data-access","title":"Access NSF GAGE Facility Data","owner":{"id":"a505e42d43acc70e","login":"earthscope","name":"EarthScope Consortium"}},"type":"notebook","body":{"title":"🌡️ Meteorological Data Access","cells":[{"id":0,"value":"title = md`# 🌡️ Meteorological Data Access\n\n*This tool is in beta. We suggest viewing this notebook in the [Chrome Browser](https://www.google.com/chrome/).*\n\nFind archival Meteorological (Met) files in (GeoCSV 2.0) format and create a *downloader* containing scripts and a manifest of files that can be run from your local machine to download files related to your query. Share/save your selections for yourself and others to reproduce your selection and download files.\n\n**[Release Notes](https://observablehq.com/@unavco/release-notes-data-archive-interface)**`","pinned":false,"hidden":false,"mode":"ojs","author":"$undefined","summary":"$undefined"},{"id":8244,"value":"html`

\n ${await FileAttachment(\"vaisala_metpack.jpeg\").image()}\n

Image: © NSF GAGE Facility. Vaisala Metpack. Credit: EarthScope Consortium

\n`","pinned":false,"hidden":false,"mode":"ojs","author":"$undefined","summary":"$undefined"},{"id":104,"value":"when = md`## 🕒 WHEN: Find data by *time*`","pinned":false,"hidden":false,"mode":"ojs","author":"$undefined","summary":"$undefined"},{"id":6336,"value":"viewof startDate = date({\n title: \"Start Date\",\n min: \"1992-01-01\",\n max: dateFormat(today),\n value: importConfiguration.startDate\n ? importConfiguration.startDate\n : dateFormat(oneWeekAgo)\n})","pinned":false,"hidden":false,"mode":"ojs","author":"$undefined","summary":"$undefined"},{"id":6329,"value":"viewof endDate = date({\n title: \"End Date\",\n min: startDate,\n max: dateFormat(today),\n value: importConfiguration.endDate\n ? importConfiguration.endDate\n : dateFormat(d3.timeDay.offset(today, -1)), // Default: yesterday.\n description: md`Some daily data may not be available if your end date is **today**.`\n})","pinned":false,"hidden":false,"mode":"ojs","author":"$undefined","summary":"$undefined"},{"id":7303,"value":"resultsSummaryText = md`**${d3.format(\",\")(\n timeTableData.length\n)}** results matching your *WHAT* and *WHEN* selections:`","pinned":false,"hidden":false,"mode":"ojs","author":"$undefined","summary":"$undefined"},{"id":6488,"value":"viewof searchTime = Inputs.search(timeTableData, {\n datalist: intervals.keys(),\n label: \"Find in table\",\n placeholder: \"AC59\"\n})","pinned":false,"hidden":false,"mode":"ojs","author":"$undefined","summary":"$undefined"},{"id":7527,"value":"searchTableExplainer = md`*Selecting site codes in the table below will zoom to their location on the map.*`","pinned":false,"hidden":false,"mode":"ojs","author":"$undefined","summary":"$undefined"},{"id":6348,"value":"viewof timeTable = Table(searchTime, {\n columns: [\"Site\", \"Plot\", \"First Date\", \"Last Date\", \"Percent\", \"Coverage\"],\n multiple: false,\n format: {\n Type: (d) => d.toUpperCase(),\n Site: (x) =>\n html`${x}`,\n Plot: (\n d // url or station code used to fetch position timeseries data\n ) => (d.length > 4 ? html`📈` : \"\"),\n Coverage: (intervals) => sparkline(intervals, { width: 450 }),\n Percent: (d) => d3.format(\".2%\")(d)\n },\n width: {\n Coverage: \"450px\"\n }\n})","pinned":false,"hidden":false,"mode":"ojs","author":"$undefined","summary":"$undefined"},{"id":7015,"value":"tableLegend = md`**Note:** The chart ${sparkline(\n [\n [0, 0.2],\n [0.25, 0.29],\n [0.31, 0.45],\n [0.51, 0.57],\n [0.5, 0.65],\n [0.78, 1]\n ],\n 100,\n 20\n)} shows **5** areas of ${textcolor(\n \"data availability\",\n \"green\"\n)} with 4 ${textcolor(\"gaps\", \"#efefef\")} in coverage`","pinned":false,"hidden":false,"mode":"ojs","author":"$undefined","summary":"$undefined"},{"id":1316,"value":"where = md`## 🌎 WHERE: Find data by *location*`","pinned":false,"hidden":false,"mode":"ojs","author":"$undefined","summary":"$undefined"},{"id":4982,"value":"whereExplainer = md`\n*\nUse the buttons ${drawIcon} ${deleteIcon} to **Draw** on the map and create, edit, and delete bounding polygons used to select your data by location. **Click and drag** to pan. **Scroll** to zoom. **Click** on individual locations to see more info.*\n\n*Complete a polygon with a **double click** on the last vertex you want to add.*\n\n*You can also copy/paste or **type a list of station codes separated by spaces** that you would like to display on the map.*`","pinned":false,"hidden":false,"mode":"ojs","author":"$undefined","summary":"$undefined"},{"id":7746,"value":"viewof stationSelection = Inputs.textarea({\n value: importConfiguration.stations\n ? importConfiguration.stations.join(\" \")\n : \"\",\n rows: 12,\n placeholder:\n \"AB02 OKSO OKCE OKNC OKFG MAPS MSWB MREP DUTC AV09 AKRB AKMO AV10 AC42\",\n submit: true,\n label: \"Display selected stations only:\"\n})","pinned":false,"hidden":false,"mode":"ojs","author":"$undefined","summary":"$undefined"},{"id":8471,"value":"mapLegend = Swatches(\n d3.scaleOrdinal([\"Meteorological data available\"], [markerColor])\n)","pinned":false,"hidden":false,"mode":"ojs","author":"$undefined","summary":"$undefined"},{"id":6407,"value":"$2f","pinned":false,"hidden":false,"mode":"ojs","author":"$undefined","summary":"$undefined"},{"id":7309,"value":"tileMapSummary = md`**${d3.format(\",\")(\n polygonTableData.length\n)}** results matching your *WHAT*, *WHEN*, and *WHERE* selections:`","pinned":false,"hidden":false,"mode":"ojs","author":"$undefined","summary":"$undefined"},{"id":6504,"value":"polygonTableComment = md`💡 *Select the geodedic locations from the table below that you wish to include. Sparklines in the table show trends in position. The absene of a sparkline indicates no position files are available in the selected date range for a particular station.*`","pinned":false,"hidden":false,"mode":"ojs","author":"$undefined","summary":"$undefined"},{"id":6423,"value":"viewof polygonTable = Table(polygonTableData, {\n columns: [\"Site\", \"Lon\", \"Lat\", \"Height\"],\n rows: 24,\n value: polygonTableData,\n format: {\n Site: (x) =>\n html`${x}`,\n [\"Up/Down\"]: (timeseries, i) =>\n line(timeseries, {\n strokeStyle: \"red\",\n fillStyle: \"rgba(255,0,0,0.6)\",\n width: polygonSparkWidth,\n height: polygonSparkHeight\n }),\n [\"East/West\"]: (timeseries, i) =>\n line(timeseries, { strokeStyle: \"green\", width: polygonSparkWidth }),\n [\"North/South\"]: (timeseries, i) =>\n line(timeseries, {\n strokeStyle: \"blue\",\n width: polygonSparkWidth,\n height: polygonSparkHeight\n })\n },\n width: {\n [\"Up/Down\"]: polygonSparkWidth,\n [\"East/West\"]: polygonSparkWidth,\n [\"North/South\"]: polygonSparkWidth,\n height: polygonSparkHeight\n }\n})","pinned":false,"hidden":false,"mode":"ojs","author":"$undefined","summary":"$undefined"},{"id":5734,"value":"share = html`

🌟 Share

\n\n

You can share this notebook exactly how it is configured with a friend, colleague, or yourself to save your work.

`","pinned":false,"hidden":false,"mode":"ojs","author":"$undefined","summary":"$undefined"},{"id":5849,"value":"copyUrlButton = Copier(\"📋 Copy URL\", { value: shareableUrl })","pinned":false,"hidden":false,"mode":"ojs","author":"$undefined","summary":"$undefined"},{"id":5864,"value":"shareableUrlTextbox = Inputs.textarea({\n value: shareableUrl,\n rows: 6,\n disabled: true,\n submit: false,\n label: \"Shareable URL\"\n})","pinned":false,"hidden":false,"mode":"ojs","author":"$undefined","summary":"$undefined"},{"id":384,"value":"downloadHeading = md`## ⬇️ Download your data\n`","pinned":false,"hidden":false,"mode":"ojs","author":"$undefined","summary":"$undefined"},{"id":6700,"value":"reviewFiles = md`### 🔍 Step 0: Review your files`","pinned":false,"hidden":false,"mode":"ojs","author":"$undefined","summary":"$undefined"},{"id":6600,"value":"polygontableDownloadSummarys = md`There is **${bytesToString(\n summary.overall_file_size\n)}** of data in **${d3.format(\",\")(\n summary.overall_number_files\n)}** available files for download.\n\nThis data can be downloaded by running a script from your local machine.`","pinned":false,"hidden":false,"mode":"ojs","author":"$undefined","summary":"$undefined"},{"id":6692,"value":"viewof summaryTable = Table(summary.items, {\n columns: [\"site_code\", \"site_file_size\", \"number_files\", \"data_type\"],\n sort: \"site_file_size\",\n reverse: true,\n value: summary.items,\n multiple: false,\n format: {\n site_file_size: (d) =>\n html` 0 ? \"bold\" : \"red\"} color=\"${\n d > 0 ? \"black\" : \"red\"\n }\">${d == 0 ? \"No Data\" : bytesToString(d)}`,\n data_type: (d, i) =>\n summary.items[i].is_rinex3 == \"Y\" ? d.replace(/RINEX/i, \"RINEX 3\") : d,\n number_files: (d) =>\n html` 0 ? \"bold\" : \"red\"} color=\"${\n d > 0 ? \"black\" : \"red\"\n }\">${d == 0 ? \"No Data\" : d3.format(\",\")(d)}`\n },\n width: {\n data_type: 450\n }\n})","pinned":false,"hidden":false,"mode":"ojs","author":"$undefined","summary":"$undefined"},{"id":3632,"value":"viewof manifestTextArea = Inputs.textarea({\n value: summary.overall_file_size ? fileList : \"\",\n rows: 12,\n width: 960,\n disabled: true,\n submit: false,\n label: \"File paths\"\n})","pinned":false,"hidden":false,"mode":"ojs","author":"$undefined","summary":"$undefined"},{"id":2844,"value":"download_step_1 = md`### 📦 Step 1: Download the *Downloader*`","pinned":false,"hidden":false,"mode":"ojs","author":"$undefined","summary":"$undefined"},{"id":6736,"value":"download_0 = download(\n await downloadBlob, // Cached zip file containing scripts, manifest, README.\n \"data_access_scripts-master.zip\",\n \"Download scripts\"\n)","pinned":false,"hidden":false,"mode":"ojs","author":"$undefined","summary":"$undefined"},{"id":6042,"value":"download_1 = md`Unzip the downloaded \\`zip\\` file and place it in the directory in which you wish to download a **potentially LARGE number of files**. The uncompressed directory will look like this:\n\n~~~\ndata_access_scripts-master\n files-download.txt\n download_data.sh\n download_data.py\n download_data.ps1\n README.md\n~~~\n\nThe uncompressed zip file contains \\`scripts\\` to download your files, a \\`manifest\\` of the files to be downloaded, and a \\`README\\` to explain how it all works.`","pinned":false,"hidden":false,"mode":"ojs","author":"$undefined","summary":"$undefined"},{"id":7675,"value":"downloadTool = md`You can use [this tool](https://terras.gsi.go.jp/ja/crx2rnx.html) to uncompress Hatanaka compresed observation files.`","pinned":false,"hidden":false,"mode":"ojs","author":"$undefined","summary":"$undefined"},{"id":4808,"value":"read = md`### 📜 Step 2: Read the README\n\nThe \\`README\\` file contained in your uncompressed zip file has some important information related to the parameters that went into creating the list of files you are about to download. This \\`README\\` can be used to recreate the steps that led to your particular selection of files and should allow anybody you share your *downloader* with to reproduce your work!`","pinned":false,"hidden":false,"mode":"ojs","author":"$undefined","summary":"$undefined"},{"id":6710,"value":"run = md`### ☕ Step 3: Run it\n\nThere are three scripts to choose from, depending on your operating system and environment.\n\n**Bash** (MAC, terminal in this directory):\n\n~~~sh\nsh download_data.sh\n~~~\n\n**Python 3** installed? (MAC, terminal in this directory):\n\n~~~sh\npython download_data.py\n~~~\n\n**Powershell** (WINDOWS, file explorer in this directory):\n\n~~~\n1. Right click download_data.ps1 and choose \"Run wih PowerShell\"\n\n2. Enter the location to save the files in, such as Downloads, Documents, or Documents\\\\folder_name.\n\n3. Enter the path to the .txt file containing the ftp download paths.\n~~~\n\n\nGo grab a coffee while your data downloads to the same directory.`","pinned":false,"hidden":false,"mode":"ojs","author":"$undefined","summary":"$undefined"},{"id":9223,"value":"gnssAccess = html`

🌐 GNSS Data Access

`","pinned":false,"hidden":false,"mode":"ojs","author":"$undefined","summary":"$undefined"},{"id":9227,"value":"gnss_explainer = md`💡 *You can look for data available from your selected stations or within the polygons you have drawn with the [sharable link](${gnssUrl}) that includes your selected areas.*`","pinned":false,"hidden":false,"mode":"ojs","author":"$undefined","summary":"$undefined"},{"id":6726,"value":"md`---`","pinned":false,"hidden":false,"mode":"ojs","author":"$undefined","summary":"$undefined"},{"id":195,"value":"md`# Appendix`","pinned":false,"hidden":false,"mode":"ojs","author":"$undefined","summary":"$undefined"},{"id":8644,"value":"md`© 2022 NSF GAGE Facility. Please use this code in accordance with the [MIT License](https://opensource.org/licenses/MIT).`","pinned":false,"hidden":false,"mode":"ojs","author":"$undefined","summary":"$undefined"},{"id":8575,"value":"md`## Cartography`","pinned":false,"hidden":false,"mode":"ojs","author":"$undefined","summary":"$undefined"},{"id":6410,"value":"mutable signal = 1","pinned":false,"hidden":false,"mode":"ojs","author":"$undefined","summary":"$undefined"},{"id":6430,"value":"polygonSearchResults = {\n signal;\n if (Object.keys(polygons).length) {\n return await polygonSearch({\n polygons: Object.keys(polygons).map((id) => {\n signal; // Force evaluation of this cell to occur.\n return polygons[id];\n })\n });\n }\n return { type: \"FeatureCollection\", features: [], totalFeatures: 0 };\n}","pinned":false,"hidden":false,"mode":"ojs","author":"$undefined","summary":"$undefined"},{"id":1786,"value":"// The collection of drawn bounding polygons used for spatial search\n// Polygons can be created, updated, and deleted from this list using perisistent ids\n// Polygons have a 'id' property and a 'geometry' property with a 'coordinates' array of (long, lat) tuples.\n// (easting, northing)\nmutable polygons = importConfiguration.polygons\n ? importConfiguration.polygons\n : {}","pinned":false,"hidden":false,"mode":"ojs","author":"$undefined","summary":"$undefined"},{"id":6435,"value":"polygonTableData = {\n function result(feature) {\n return {\n Site: feature.properties.site_code,\n Lon: feature.geometry.coordinates[0],\n Lat: feature.geometry.coordinates[1],\n Height: feature.geometry.coordinates[2]\n };\n }\n // Table displays only the named stations.\n if (Object.keys(stationIndex).length) {\n let results = [];\n for (const code of Object.keys(stationIndex)) {\n try {\n results.push(result(siteCodeMap.get(code)[0]));\n } catch (e) {\n console.log(\"error displaying polygon search table\", code);\n }\n }\n return results;\n } else if (polygonSearchResults.totalFeatures > 0) {\n return (\n polygonSearchResults.features\n // Only include site codes that appear in the time section AND in station list.\n .filter((feature) => siteCodeMap.has(feature.properties.site_code))\n .map((feature) => result(feature))\n );\n }\n\n return [];\n}","pinned":false,"hidden":false,"mode":"ojs","author":"$undefined","summary":"$undefined"},{"id":1772,"value":"MapboxDraw = {\n const gl = await require(\"@mapbox/mapbox-gl-draw\");\n const href = await require.resolve(\"@mapbox/mapbox-gl-draw/dist/mapbox-gl-draw.css\");\n document.head.appendChild(html``);\n return gl;\n}","pinned":false,"hidden":false,"mode":"ojs","author":"$undefined","summary":"$undefined"},{"id":1377,"value":"mapboxgl = {\n const gl = await require(\"mapbox-gl@1\");\n if (!gl.accessToken) {\n // https://www.mapbox.com/help/how-access-tokens-work/\n gl.accessToken = \"pk.eyJ1IjoiYnJvb2tzbWFwcyIsImEiOiJja25ycjdmZXMwc3NoMm9xbXdpNThra2huIn0.j1ccDRj-S8MCp33aq9zbDw\";\n const href = await require.resolve(\"mapbox-gl@1/dist/mapbox-gl.css\");\n document.head.appendChild(html``);\n }\n return gl;\n}","pinned":false,"hidden":false,"mode":"ojs","author":"$undefined","summary":"$undefined"},{"id":8583,"value":"md`## Files`","pinned":false,"hidden":false,"mode":"ojs","author":"$undefined","summary":"$undefined"},{"id":6513,"value":"// Forming the fetch products POST reequest payload.\nitems = {\n let data = [];\n\n // Each location is represented once in the table, but each location may correspond to multiple\n // products or sample intervals\n polygonTable.forEach((row) => {\n data.push({\n startDate: startDate,\n endDate: endDate,\n met: [row.Site]\n });\n });\n\n return data;\n}","pinned":false,"hidden":false,"mode":"ojs","author":"$undefined","summary":"$undefined"},{"id":6512,"value":"summary = fetchProducts({ items: items, view: \"summary\" }).then((d) =>\n d ? d : { overall_file_size: 0, overall_number_files: 0, items: [] }\n)","pinned":false,"hidden":false,"mode":"ojs","author":"$undefined","summary":"$undefined"},{"id":7597,"value":"downloadMetadata = fetchProducts({ items: items, view: \"metadata\" }).then((d) =>\n d ? d : { overall_file_size: 0, overall_number_files: 0, items: [] }\n)","pinned":false,"hidden":false,"mode":"ojs","author":"$undefined","summary":"$undefined"},{"id":6616,"value":"fileMetadata = fetchProducts({ items: items, view: \"metadata\" })","pinned":false,"hidden":false,"mode":"ojs","author":"$undefined","summary":"$undefined"},{"id":7385,"value":"downloadBlob = {\n let zip = await FileAttachment(\"UNAVCO_says_unzip_and_run_me.zip\")\n .arrayBuffer()\n .then((buffer) => jszip.loadAsync(buffer));\n\n zip.file(\"data_access_scripts-master/files-download.txt\", fileList);\n\n // TODO custom README.md (overwritten)\n zip.file(\"data_access_scripts-master/README.md\", readmeText);\n\n let buffer = await zip\n .generateAsync({ type: \"arraybuffer\" })\n .then((buffer) => buffer);\n\n return new Blob([buffer], { type: \"arraybuffer\" });\n}","pinned":false,"hidden":false,"mode":"ojs","author":"$undefined","summary":"$undefined"},{"id":6597,"value":"// e.g. 10394879 -> 10MB\nbytesToString = function (bytes) {\n let format = d3.format(\".0f\");\n\n if (bytes < 1024) {\n return format(bytes) + \"B\";\n } else if (bytes < 1024 * 1024) {\n return format(bytes / 1024) + \"kB\";\n } else if (bytes < 1024 * 1024 * 1024) {\n return format(bytes / 1024 / 1024) + \"MB\";\n } else if (bytes < 1024 * 1024 * 1024 * 1024) {\n return format(bytes / 1024 / 1024 / 1024) + \"GB\";\n } else if (bytes < 1024 * 1024 * 1024 * 1024 * 1024) {\n return format(bytes / 1024 / 1024 / 1024 / 1024) + \"TB\";\n } else {\n return (\n d3.format(\",\")(format(bytes / 1024 / 1024 / 1024 / 1024 / 1024)) + \"PB\"\n );\n }\n}","pinned":false,"hidden":false,"mode":"ojs","author":"$undefined","summary":"$undefined"},{"id":6610,"value":"fileList = summary.overall_file_size\n ? fetchProducts({ items: items, view: \"list\" })\n : \"\"","pinned":false,"hidden":false,"mode":"ojs","author":"$undefined","summary":"$undefined"},{"id":6744,"value":"$30","pinned":false,"hidden":false,"mode":"ojs","author":"$undefined","summary":"$undefined"},{"id":8594,"value":"md`## Data`","pinned":false,"hidden":false,"mode":"ojs","author":"$undefined","summary":"$undefined"},{"id":7732,"value":"baseUrl = document.baseURI","pinned":false,"hidden":false,"mode":"ojs","author":"$undefined","summary":"$undefined"},{"id":6831,"value":"shareableUrl = {\n let url = baseUrl.split(\"?\")[0] + \"?\"; // Everything before the query\n\n let strippedParams = {};\n\n for (const [key, value] of Object.entries(exportConfiguration)) {\n if (value) {\n strippedParams[key] = value;\n }\n }\n\n return url + new URLSearchParams(strippedParams).toString();\n}","pinned":false,"hidden":false,"mode":"ojs","author":"$undefined","summary":"$undefined"},{"id":9220,"value":"gnssUrl = shareableUrl.replace(\"meteorological\", \"gnss\")","pinned":false,"hidden":false,"mode":"ojs","author":"$undefined","summary":"$undefined"},{"id":7818,"value":"stationIndex = {\n let dictionary = {};\n\n if (stationSelection.length) {\n stationSelection\n .split(\" \")\n .forEach((d) => (dictionary[d.toUpperCase()] = true));\n }\n\n return dictionary;\n}","pinned":false,"hidden":false,"mode":"ojs","author":"$undefined","summary":"$undefined"},{"id":6810,"value":"// Every property has a string as its value.\nexportConfiguration = {\n signal;\n\n let obj = {\n stations: stationSelection.split(\" \").map((d) => d.toUpperCase()),\n polygons: polygons,\n // realtimeSelection: realtimeSelection,\n startDate: startDate,\n endDate: endDate\n };\n\n for (const property in obj) {\n obj[property] = JSON.stringify(obj[property]);\n }\n\n return obj;\n}","pinned":false,"hidden":false,"mode":"ojs","author":"$undefined","summary":"$undefined"},{"id":8498,"value":"// Returns true if a site code has any site_ids or products corresponding to a particular data type.\nfunction locationHasType(code, type) {\n let features = siteCodeMap.get(code);\n for (let i = 0; i < features.length; i++) {\n if (features[i].properties.data_type === type) {\n return true;\n break;\n }\n }\n return false;\n}","pinned":false,"hidden":false,"mode":"ojs","author":"$undefined","summary":"$undefined"},{"id":6836,"value":"mutable importConfiguration = {\n let dict = {};\n let i = 0;\n\n // Hack: Fixes apparent bug with Observable passing location.search down from parent frame.\n while (!location.search && i < 2) {\n i++;\n yield Promises.tick(1000, {});\n }\n\n if (location.search) {\n let queries = location.search.length\n ? location.search\n .substring(1)\n .split(\"&\")\n .map((d) => d.split(\"=\"))\n : [];\n\n queries.forEach((d) => {\n if (d[1]) {\n try {\n dict[d[0]] = JSON.parse(decodeURIComponent(d[1]));\n } catch (error) {\n console.log(\"Unable to process query parameter: \", d[0], d[1]);\n }\n }\n });\n }\n\n yield dict;\n}","pinned":false,"hidden":false,"mode":"ojs","author":"$undefined","summary":"$undefined"},{"id":7975,"value":"selectedStation = timeTable ? timeTable.site_code : null","pinned":false,"hidden":false,"mode":"ojs","author":"$undefined","summary":"$undefined"},{"id":9197,"value":"siteCodeMap = d3.group(\n meteorologicalFeatures.features,\n (d) => d.properties.site_code\n)","pinned":false,"hidden":false,"mode":"ojs","author":"$undefined","summary":"$undefined"},{"id":8708,"value":"intervals = {\n let coverage = await meteorologicalCoverage();\n\n let features = coverage.features.map((d, i) => {\n let dates = [];\n let ranges = JSON.parse(d.properties.ranges);\n\n let scale = d3\n .scaleLinear()\n .domain([parseDate(startDate), parseDate(endDate)])\n .range([0, 1])\n .clamp(true);\n\n let datum = {\n site_code: d.properties.site_code,\n first_date: d3.min(ranges, (d) => d3.timeParse(\"%s\")(d.start_date)),\n last_date: d3.max(ranges, (d) => d3.timeParse(\"%s\")(d.end_date)),\n coverage: ranges.map((range) => {\n return [\n scale(d3.timeParse(\"%s\")(range.start_date)),\n scale(d3.timeParse(\"%s\")(range.end_date))\n ];\n })\n };\n\n datum.percent = d3.sum(datum.coverage, (d) => d[1] - d[0]);\n datum.i = i;\n\n return datum;\n });\n\n return d3.group(features, (d) => d.site_code);\n}","pinned":false,"hidden":false,"mode":"ojs","author":"$undefined","summary":"$undefined"},{"id":9159,"value":"meteorologicalFeatures = meteorologicalAvailability({\n startDate: startDate,\n endDate: endDate\n})","pinned":false,"hidden":false,"mode":"ojs","author":"$undefined","summary":"$undefined"},{"id":6341,"value":"timeTableData = {\n return (\n // rinex/position\n meteorologicalFeatures.features\n .map((d, i) => {\n let coverage = intervals.get(d.properties.site_code)[0];\n let dates = [];\n\n let datum = {\n Site: d.properties.site_code,\n Plot:\n `https://observablehq.com/@unavco/meteorological-timeseries?station=%22${d.properties.site_code}%22` +\n `&start=%22${startDate}%22&station=%22${d.properties.site_code}%22&end=%22${endDate}%22`,\n [\"First Date\"]: coverage.first_date,\n [\"Last Date\"]: coverage.last_date,\n [\"Interval\"]: d.properties.sample_interval,\n [\"Coverage\"]: coverage.coverage\n };\n\n datum[\"Percent\"] = coverage.percent;\n datum.i = coverage.i;\n\n return datum;\n })\n // Disregard sites with no data in our date range.\n // .filter((d) => siteId2SiteCodeMap.has(d.site_id) && d.percent > 0)\n .sort((a, b) => d3.descending(a.percent, b.percent))\n );\n}","pinned":false,"hidden":false,"mode":"ojs","author":"$undefined","summary":"$undefined"},{"id":6311,"value":"metadataValues = metadataOptions()","pinned":false,"hidden":false,"mode":"ojs","author":"$undefined","summary":"$undefined"},{"id":8610,"value":"md`## Style`","pinned":false,"hidden":false,"mode":"ojs","author":"$undefined","summary":"$undefined"},{"id":9208,"value":"markerColor = \"blue\"","pinned":false,"hidden":false,"mode":"ojs","author":"$undefined","summary":"$undefined"},{"id":4481,"value":"html``","pinned":false,"hidden":false,"mode":"ojs","author":"$undefined","summary":"$undefined"},{"id":4983,"value":"drawIcon = FileAttachment(\"map_draw_button.svg\").image()","pinned":false,"hidden":false,"mode":"ojs","author":"$undefined","summary":"$undefined"},{"id":5014,"value":"deleteIcon = FileAttachment(\"delete_icon.svg\").image()","pinned":false,"hidden":false,"mode":"ojs","author":"$undefined","summary":"$undefined"},{"id":9094,"value":"polygonSparkWidth = 225","pinned":false,"hidden":false,"mode":"ojs","author":"$undefined","summary":"$undefined"},{"id":9123,"value":"polygonSparkHeight = 30","pinned":false,"hidden":false,"mode":"ojs","author":"$undefined","summary":"$undefined"},{"id":70,"value":"dateFormat = d3.timeFormat(\"%Y-%m-%d\")","pinned":false,"hidden":false,"mode":"ojs","author":"$undefined","summary":"$undefined"},{"id":72,"value":"today = new Date()","pinned":false,"hidden":false,"mode":"ojs","author":"$undefined","summary":"$undefined"},{"id":157,"value":"oneYearAgo = {\n let c = new Date(); // today, still today!\n c.setDate(today.getDate() - 365);\n return c;\n}","pinned":false,"hidden":false,"mode":"ojs","author":"$undefined","summary":"$undefined"},{"id":802,"value":"oneWeekAgo = {\n let c = new Date(); // today, still today!\n c.setDate(today.getDate() - 7);\n return c;\n}","pinned":false,"hidden":false,"mode":"ojs","author":"$undefined","summary":"$undefined"},{"id":116,"value":"readableDateFormat = d3.timeFormat(\"%B %d, %Y\")","pinned":false,"hidden":false,"mode":"ojs","author":"$undefined","summary":"$undefined"},{"id":119,"value":"parseDate = d3.timeParse(\"%Y-%m-%d\")","pinned":false,"hidden":false,"mode":"ojs","author":"$undefined","summary":"$undefined"},{"id":4325,"value":"parseDateZulu = d3.timeParse(\"%Y-%m-%d%Z\")","pinned":false,"hidden":false,"mode":"ojs","author":"$undefined","summary":"$undefined"},{"id":611,"value":"// We use this function to ensure we never send an invalid date range query to the geoserver.\n// This is useful if the date selector is left incomplete while the user changes a selection. In the meantime, the incorrect query will be replaced with one or both of the date range endpoints being equal to TODAY.\nfunction validDate(d) {\n return parseDate(d) ? dateFormat(parseDate(d)) : dateFormat(today);\n}","pinned":false,"hidden":false,"mode":"ojs","author":"$undefined","summary":"$undefined"},{"id":1094,"value":"// A silly method that saves a lot of typing in the above document.\nfunction addPlural(base, number) {\n return number !== 1 ? base + 's' : base;\n}","pinned":false,"hidden":false,"mode":"ojs","author":"$undefined","summary":"$undefined"},{"id":2476,"value":"// https://observablehq.com/@jeremiak/download-data-button\ndownloadButton = (data, filename = 'data') => {\n if (!data) throw new Error('Array of data required as first argument');\n\n let downloadData;\n if (filename.includes('.csv')) {\n downloadData = new Blob([d3.csvFormat(data)], { type: \"text/csv\" });\n } else if (filename.includes('.zip')) {\n downloadData = new Blob([data], { type: \"application/zip\" });\n } else {\n downloadData = new Blob([JSON.stringify(data, null, 2)], {\n type: \"application/json\"\n });\n }\n\n const size = (downloadData.size / 1024).toFixed(0);\n const b = DOM.download(\n downloadData,\n filename,\n `Download ${filename} (~${size} KB)`\n );\n return b;\n}","pinned":false,"hidden":false,"mode":"ojs","author":"$undefined","summary":"$undefined"},{"id":4062,"value":"// Returns a canvas element to represent a series of intervals in the range [0, 1].\nfunction sparkline(intervals, { width = 250, height = 20 }) {\n const x = d3\n .scaleLinear()\n .domain([0, 1])\n .range([1, width - 1]);\n const y = d3\n .scaleLinear()\n .domain([0, 1])\n .range([height / 2, height / 2]);\n const context = DOM.context2d(width, height);\n const line = d3\n .line()\n .x((d, i) => x(d))\n .y(y)\n .context(context);\n\n context.beginPath();\n context.rect(0, 0, width, height);\n context.stroke();\n\n context.lineWidth = height - 2;\n context.strokeStyle = \"green\";\n\n intervals.forEach((range) => {\n context.beginPath();\n line(range);\n context.stroke();\n });\n\n return context.canvas;\n}","pinned":false,"hidden":false,"mode":"ojs","author":"$undefined","summary":"$undefined"},{"id":6938,"value":"function inIframe() {\n try {\n return window.self !== window.top;\n } catch (e) {\n return true;\n }\n}","pinned":false,"hidden":false,"mode":"ojs","author":"$undefined","summary":"$undefined"},{"id":8630,"value":"md`## Imports`","pinned":false,"hidden":false,"mode":"ojs","author":"$undefined","summary":"$undefined"},{"id":4,"value":"d3 = require('d3')","pinned":false,"hidden":false,"mode":"ojs","author":"$undefined","summary":"$undefined"},{"id":62,"value":"import {date} from \"@jashkenas/inputs\"\n","pinned":false,"hidden":false,"mode":"ojs","author":"$undefined","summary":"$undefined"},{"id":205,"value":"import {Search, Table, Button, Toggle, Range, Radio} from '@observablehq/inputs'","pinned":false,"hidden":false,"mode":"ojs","author":"$undefined","summary":"$undefined"},{"id":688,"value":"import { download } from \"@mbostock/lazy-download\"","pinned":false,"hidden":false,"mode":"ojs","author":"$undefined","summary":"$undefined"},{"id":5133,"value":"import { toc } from \"@mbostock/toc\"","pinned":false,"hidden":false,"mode":"ojs","author":"$undefined","summary":"$undefined"},{"id":2513,"value":"jszip = require(\"jszip@3/dist/jszip.min.js\")","pinned":false,"hidden":false,"mode":"ojs","author":"$undefined","summary":"$undefined"},{"id":5852,"value":"import { Copier } from \"@mbostock/copier\"","pinned":false,"hidden":false,"mode":"ojs","author":"$undefined","summary":"$undefined"},{"id":8468,"value":"import { Swatches } from \"@d3/color-legend\"","pinned":false,"hidden":false,"mode":"ojs","author":"$undefined","summary":"$undefined"},{"id":7972,"value":"import { positionJson, lineChart as positionTimeseries, k } with {\n selectedStation as station,\n startDate as start,\n endDate as end,\n timeseriesDimensions as dimensions,\n timeSeriesWindow as k\n} from \"@unavco/gnss-position-timeseries\"","pinned":false,"hidden":false,"mode":"ojs","author":"$undefined","summary":"$undefined"},{"id":6299,"value":"import {\n meteorologicalCoverage,\n meteorologicalAvailability,\n fetchProducts,\n stationCoverage,\n metadataSearch,\n polygonSearch,\n metadataOptions\n} from \"@unavco/web-services\"","pinned":false,"hidden":false,"mode":"ojs","author":"$undefined","summary":"$undefined"},{"id":8852,"value":"import { textcolor } from \"@observablehq/text-color-annotations-in-markdown\"","pinned":false,"hidden":false,"mode":"ojs","author":"$undefined","summary":"$undefined"},{"id":8975,"value":"import { line } from \"@bmershon/inline-plots\"","pinned":false,"hidden":false,"mode":"ojs","author":"$undefined","summary":"$undefined"}],"files":"$W31","stdlib":"1","titling":"auto"}} 2e:"$2d:body"