{"id":1551902,"date":"2022-04-26T09:15:31","date_gmt":"2022-04-26T16:15:31","guid":{"rendered":"https:\/\/www.esri.com\/arcgis-blog\/?post_type=blog&p=1551902"},"modified":"2022-05-07T11:39:45","modified_gmt":"2022-05-07T18:39:45","slug":"a-meaningful-temperature-palette","status":"publish","type":"blog","link":"https:\/\/www.esri.com\/arcgis-blog\/products\/arcgis-pro\/mapping\/a-meaningful-temperature-palette","title":{"rendered":"Creating a meaningful temperature palette"},"author":8492,"featured_media":0,"parent":0,"menu_order":0,"comment_status":"open","ping_status":"closed","template":"","format":"standard","meta":{"_acf_changed":false,"_searchwp_excluded":""},"categories":[22941],"tags":[32551,26451,31801,757821,438852],"industry":[],"product":[36551,36561],"class_list":["post-1551902","blog","type-blog","status-publish","format-standard","hentry","category-mapping","tag-arcade","tag-cartography","tag-forecast","tag-palette","tag-temperature","product-arcgis-online","product-arcgis-pro"],"acf":{"short_description":"Colors and temperatures unite in the new temperature forecast layers that are now part of the Living Atlas library.","flexible_content":[{"acf_fc_layout":"content","content":"

How hot is it going to get today? What about tomorrow? Should I take my jacket?<\/span>\u00a0<\/span><\/p>\n

These questions are now answered <\/span>on your maps<\/span> with two new t<\/span>emperature forecast layers<\/span>\u00a0from the <\/span>National Digital Forecast Database<\/span><\/a>. They are new additions to <\/span>Living Atlas<\/span><\/a> and provide daily minimum and maximum<\/a> and hourly apparent and expected<\/a>\u00a0temperature forecasts for the Contiguous United States (CONUS), Alaska, Hawaii, Guam, and Puerto Rico.<\/span>\u00a0<\/span><\/p>\n

These layers were built to show you a wide range of temperatures across the forecast period. They are a snapshot of what is coming and can be leveraged by a variety of users such as emergency managers, power grid operators, or human health organizations as additional resources for their maps and forecast processes. Where is it going to be over 100<\/span>\u00b0<\/span>F? Is there any overnight relief from the heatwave? Which areas within my district are freezing? These are the kinds of human health impacts you can forecast with this layer.<\/span>\u00a0<\/span><\/p>\n

When we started developing this layer, the needs of the end user played central to the overall design. Since there are 38 temperature classes, how could all those classes be visualized in a way that makes it easy to use while also allowing a user’s intuitive color awareness to takeover?<\/span>\u00a0<\/span><\/p>\n"},{"acf_fc_layout":"image","image":{"ID":1551932,"id":1551932,"title":"NDFD_TempGIF","filename":"NDFD_TempGIF.gif","filesize":545749,"url":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2022\/04\/NDFD_TempGIF.gif","link":"https:\/\/www.esri.com\/arcgis-blog\/products\/arcgis-pro\/mapping\/a-meaningful-temperature-palette\/ndfd_tempgif","alt":"Animated gif showing minimum and maximum temperatures for March 27, 2022.","author":"8492","description":"","caption":"Minimum and maximum temperatures for March 27, 2022.","name":"ndfd_tempgif","status":"inherit","uploaded_to":1551902,"date":"2022-04-13 18:52:18","modified":"2022-04-26 16:49:50","menu_order":0,"mime_type":"image\/gif","type":"image","subtype":"gif","icon":"https:\/\/www.esri.com\/arcgis-blog\/wp-includes\/images\/media\/default.png","width":729,"height":431,"sizes":{"thumbnail":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2022\/04\/NDFD_TempGIF-213x200.gif","thumbnail-width":213,"thumbnail-height":200,"medium":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2022\/04\/NDFD_TempGIF.gif","medium-width":441,"medium-height":261,"medium_large":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2022\/04\/NDFD_TempGIF.gif","medium_large-width":729,"medium_large-height":431,"large":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2022\/04\/NDFD_TempGIF.gif","large-width":729,"large-height":431,"1536x1536":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2022\/04\/NDFD_TempGIF.gif","1536x1536-width":729,"1536x1536-height":431,"2048x2048":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2022\/04\/NDFD_TempGIF.gif","2048x2048-width":729,"2048x2048-height":431,"card_image":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2022\/04\/NDFD_TempGIF.gif","card_image-width":729,"card_image-height":431,"wide_image":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2022\/04\/NDFD_TempGIF.gif","wide_image-width":729,"wide_image-height":431}},"image_position":"center","orientation":"horizontal","hyperlink":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2022\/04\/NDFD_TempGIF.gif"},{"acf_fc_layout":"content","content":"

Thoughtful Color<\/h3>\n

For these layers, the cartographic approach was to create a functional map by using traditional colors for hot\/red\/cold\/blue and then fill in everything else in-between and beyond with carefully nuanced hues. This palette purposely uses each temperature class as a color change cue. We wanted the breaks and associated colors to make sense and \u2018feel\u2019 like what they represent, like warming yellow 70s or freezing white -40s. The idea is, once you recognize what the colors mean, you can identify what is on the map without referencing the legend.<\/span>\u00a0<\/span><\/p>\n"},{"acf_fc_layout":"image","image":{"ID":1562732,"id":1562732,"title":"1_NDFD_LegendFinal1","filename":"1_NDFD_LegendFinal1-scaled.jpg","filesize":256611,"url":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2022\/04\/1_NDFD_LegendFinal1-scaled.jpg","link":"https:\/\/www.esri.com\/arcgis-blog\/products\/arcgis-pro\/mapping\/a-meaningful-temperature-palette\/1_ndfd_legendfinal1","alt":"Thoughtful colors are explained on the temperature palette legend.","author":"8492","description":"","caption":"","name":"1_ndfd_legendfinal1","status":"inherit","uploaded_to":1551902,"date":"2022-04-26 16:52:41","modified":"2022-04-26 16:52:56","menu_order":0,"mime_type":"image\/jpeg","type":"image","subtype":"jpeg","icon":"https:\/\/www.esri.com\/arcgis-blog\/wp-includes\/images\/media\/default.png","width":1978,"height":2560,"sizes":{"thumbnail":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2022\/04\/1_NDFD_LegendFinal1-213x200.jpg","thumbnail-width":213,"thumbnail-height":200,"medium":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2022\/04\/1_NDFD_LegendFinal1-scaled.jpg","medium-width":202,"medium-height":261,"medium_large":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2022\/04\/1_NDFD_LegendFinal1-scaled.jpg","medium_large-width":768,"medium_large-height":994,"large":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2022\/04\/1_NDFD_LegendFinal1-scaled.jpg","large-width":834,"large-height":1080,"1536x1536":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2022\/04\/1_NDFD_LegendFinal1-1187x1536.jpg","1536x1536-width":1187,"1536x1536-height":1536,"2048x2048":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2022\/04\/1_NDFD_LegendFinal1-1583x2048.jpg","2048x2048-width":1583,"2048x2048-height":2048,"card_image":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2022\/04\/1_NDFD_LegendFinal1-359x465.jpg","card_image-width":359,"card_image-height":465,"wide_image":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2022\/04\/1_NDFD_LegendFinal1-835x1080.jpg","wide_image-width":835,"wide_image-height":1080}},"image_position":"center","orientation":"horizontal","hyperlink":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2022\/04\/1_NDFD_LegendFinal-scaled.jpg"},{"acf_fc_layout":"content","content":"

Classified Color<\/h3>\n

How was this palette created? In ArcGIS Pro we used an <\/span>Arcade<\/span><\/a>\u00a0expression to classify the temperature values into <\/span>five-degree increment breaks so that a color could be assigned to every class. Then we used <\/span>Unique Values<\/span><\/a> and applied a <\/span>Continuous Color Scheme<\/span><\/a> to mix up the colors into a seamless gradient.<\/span>\u00a0<\/span><\/p>\n

Check out how the expression works, and it could be easily modified to be 10, 20, or 50 increment breaks, whatever your own situation needs.<\/span>\u00a0<\/span><\/p>\n

var DegreeRange = 5\u00a0<\/strong>
\nvar Temp = Floor($feature.Temp\/DegreeRange, 0) * DegreeRange\u00a0<\/strong><\/p>\n

When ($feature.Temp == 0, “0”, text(Temp) + ” to ” + text(Temp + DegreeRange))\u00a0<\/strong><\/p>\n

We first create variables to (1) assign a degree range and (2) compute the rounded temperature value based on that range.<\/span>\u00a0<\/span><\/p>\n

Then a \u2018When\u2019 statement first assigns all \u20180\u2019 values to zero and anything that remains (not zero) gets turned into text with the rounded five-degree increment classes separated by the word \u2018to\u2019. Brilliant!<\/span>\u00a0<\/span><\/p>\n"},{"acf_fc_layout":"image","image":{"ID":1551952,"id":1551952,"title":"NDFD_ArcadeExp","filename":"NDFD_ArcadeExp.jpg","filesize":168331,"url":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2022\/04\/NDFD_ArcadeExp.jpg","link":"https:\/\/www.esri.com\/arcgis-blog\/products\/arcgis-pro\/mapping\/a-meaningful-temperature-palette\/ndfd_arcadeexp","alt":"Arcade expression in ArcGIS Pro for creating five degree breaks of temperature values.","author":"8492","description":"","caption":"","name":"ndfd_arcadeexp","status":"inherit","uploaded_to":1551902,"date":"2022-04-13 18:54:02","modified":"2022-04-13 19:25:16","menu_order":0,"mime_type":"image\/jpeg","type":"image","subtype":"jpeg","icon":"https:\/\/www.esri.com\/arcgis-blog\/wp-includes\/images\/media\/default.png","width":1480,"height":793,"sizes":{"thumbnail":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2022\/04\/NDFD_ArcadeExp-213x200.jpg","thumbnail-width":213,"thumbnail-height":200,"medium":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2022\/04\/NDFD_ArcadeExp.jpg","medium-width":464,"medium-height":249,"medium_large":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2022\/04\/NDFD_ArcadeExp.jpg","medium_large-width":768,"medium_large-height":412,"large":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2022\/04\/NDFD_ArcadeExp.jpg","large-width":1480,"large-height":793,"1536x1536":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2022\/04\/NDFD_ArcadeExp.jpg","1536x1536-width":1480,"1536x1536-height":793,"2048x2048":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2022\/04\/NDFD_ArcadeExp.jpg","2048x2048-width":1480,"2048x2048-height":793,"card_image":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2022\/04\/NDFD_ArcadeExp-826x443.jpg","card_image-width":826,"card_image-height":443,"wide_image":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2022\/04\/NDFD_ArcadeExp.jpg","wide_image-width":1480,"wide_image-height":793}},"image_position":"center","orientation":"horizontal","hyperlink":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2022\/04\/NDFD_ArcadeExp.jpg"},{"acf_fc_layout":"content","content":"

Equal Color<\/h3>\n

The cartography must present temperature information without bias. There is no hierarchy in this layer, just numerical order. The emphasis of the palette colors should be equitable in that sense. The hot oranges should not appear more prominently than the cooler teals. This took finessing with the saturation and brightness levels with the 10 color stops to make the cooler colors appear in similar\u00a0intensity as hotter ones.<\/span>\u00a0<\/span><\/p>\n"},{"acf_fc_layout":"image","image":{"ID":1555202,"id":1555202,"title":"NDFDStretchedPro","filename":"NDFDStretchedPro-scaled-e1650038736310.jpg","filesize":20898,"url":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2022\/04\/NDFDStretchedPro-scaled-e1650038736310.jpg","link":"https:\/\/www.esri.com\/arcgis-blog\/products\/arcgis-pro\/mapping\/a-meaningful-temperature-palette\/ndfdstretchedpro","alt":"ArcGIS Pro continuous color scheme gradient.","author":"8492","description":"","caption":"","name":"ndfdstretchedpro","status":"inherit","uploaded_to":1551902,"date":"2022-04-15 15:41:23","modified":"2022-04-15 15:41:37","menu_order":0,"mime_type":"image\/jpeg","type":"image","subtype":"jpeg","icon":"https:\/\/www.esri.com\/arcgis-blog\/wp-includes\/images\/media\/default.png","width":450,"height":600,"sizes":{"thumbnail":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2022\/04\/NDFDStretchedPro-scaled-e1650038736310.jpg","thumbnail-width":150,"thumbnail-height":200,"medium":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2022\/04\/NDFDStretchedPro-scaled-e1650038736310.jpg","medium-width":196,"medium-height":261,"medium_large":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2022\/04\/NDFDStretchedPro-scaled-e1650038736310.jpg","medium_large-width":450,"medium_large-height":600,"large":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2022\/04\/NDFDStretchedPro-scaled-e1650038736310.jpg","large-width":450,"large-height":600,"1536x1536":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2022\/04\/NDFDStretchedPro-scaled-e1650038736310.jpg","1536x1536-width":450,"1536x1536-height":600,"2048x2048":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2022\/04\/NDFDStretchedPro-scaled-e1650038736310.jpg","2048x2048-width":450,"2048x2048-height":600,"card_image":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2022\/04\/NDFDStretchedPro-scaled-e1650038736310.jpg","card_image-width":349,"card_image-height":465,"wide_image":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2022\/04\/NDFDStretchedPro-scaled-e1650038736310.jpg","wide_image-width":450,"wide_image-height":600}},"image_position":"center","orientation":"horizontal","hyperlink":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2022\/04\/NDFDStretchedPro-scaled.jpg"},{"acf_fc_layout":"content","content":"

It ended up that this layer had a whopping 38 color classes! <\/span>Here is<\/span> a trick, <\/span>to get the most color range out of this many classes, <\/span>the ramp moves back-and-forth from light-almost-white, to dark navy-blue, to lighter yellow, to darker <\/span>red.<\/span> <\/span>\u00a0<\/span><\/p>\n"},{"acf_fc_layout":"image","image":{"ID":1551992,"id":1551992,"title":"NDFD_PaletteLightDark","filename":"NDFD_PaletteLightDark-scaled.jpg","filesize":18373,"url":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2022\/04\/NDFD_PaletteLightDark-scaled.jpg","link":"https:\/\/www.esri.com\/arcgis-blog\/products\/arcgis-pro\/mapping\/a-meaningful-temperature-palette\/ndfd_palettelightdark","alt":"Colors moving from light to dark and back again help to stretch more meaning into the 38 classes","author":"8492","description":"","caption":"","name":"ndfd_palettelightdark","status":"inherit","uploaded_to":1551902,"date":"2022-04-13 18:56:12","modified":"2022-04-13 19:26:48","menu_order":0,"mime_type":"image\/jpeg","type":"image","subtype":"jpeg","icon":"https:\/\/www.esri.com\/arcgis-blog\/wp-includes\/images\/media\/default.png","width":2560,"height":206,"sizes":{"thumbnail":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2022\/04\/NDFD_PaletteLightDark-213x200.jpg","thumbnail-width":213,"thumbnail-height":200,"medium":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2022\/04\/NDFD_PaletteLightDark-scaled.jpg","medium-width":464,"medium-height":37,"medium_large":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2022\/04\/NDFD_PaletteLightDark-scaled.jpg","medium_large-width":768,"medium_large-height":62,"large":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2022\/04\/NDFD_PaletteLightDark-scaled.jpg","large-width":1920,"large-height":155,"1536x1536":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2022\/04\/NDFD_PaletteLightDark-1536x123.jpg","1536x1536-width":1536,"1536x1536-height":123,"2048x2048":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2022\/04\/NDFD_PaletteLightDark-2048x165.jpg","2048x2048-width":2048,"2048x2048-height":165,"card_image":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2022\/04\/NDFD_PaletteLightDark-826x66.jpg","card_image-width":826,"card_image-height":66,"wide_image":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2022\/04\/NDFD_PaletteLightDark-1920x154.jpg","wide_image-width":1920,"wide_image-height":154}},"image_position":"center","orientation":"horizontal","hyperlink":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2022\/04\/NDFD_PaletteLightDark-scaled.jpg"},{"acf_fc_layout":"content","content":"

This light-dark-light-dark gives more room for colors to <\/span>move<\/span> around with their 38 neighbors. You get a wider dimension of varying brightness compared to a one-way gradient. It does not work with every dataset, but when it fits it can\u00a0tease out more of the data\u2019s story.<\/span>\u00a0<\/span><\/p>\n

Meaningful Color<\/h3>\n

What are those temperature points that are most important or impactful?\u00a0There were three points on the color scale we thought needed to be discernable \u2013 freezing at 32\u00b0F\u00a0degrees, warming transitional 50s-70s, and triple digits >=100\u00b0F. <\/span>\u00a0<\/span><\/p>\n

For the freezing class, we styled it as a\u00a0navy-blue\u00a0\u2018dividing wall.’ It features clearly on the map and is color\u00a0strong yet sensible enough to act as a base from which to depart for warmer or cooler directions. Worried about the hottest forecasted areas of your city or county? Overnight freezes for early spring blossoming fruit trees? You can easily find these areas on the map now. Yes, pack that jacket.<\/span>\u00a0<\/span><\/p>\n"},{"acf_fc_layout":"image","image":{"ID":1562592,"id":1562592,"title":"NDFD_WallofFreezing1","filename":"NDFD_WallofFreezing1-scaled.jpg","filesize":291665,"url":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2022\/04\/NDFD_WallofFreezing1-scaled.jpg","link":"https:\/\/www.esri.com\/arcgis-blog\/products\/arcgis-pro\/mapping\/a-meaningful-temperature-palette\/ndfd_walloffreezing1","alt":"Showing the freezing wall of blue color.","author":"8492","description":"","caption":"","name":"ndfd_walloffreezing1","status":"inherit","uploaded_to":1551902,"date":"2022-04-26 15:45:21","modified":"2022-04-26 15:45:51","menu_order":0,"mime_type":"image\/jpeg","type":"image","subtype":"jpeg","icon":"https:\/\/www.esri.com\/arcgis-blog\/wp-includes\/images\/media\/default.png","width":2560,"height":1974,"sizes":{"thumbnail":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2022\/04\/NDFD_WallofFreezing1-213x200.jpg","thumbnail-width":213,"thumbnail-height":200,"medium":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2022\/04\/NDFD_WallofFreezing1-scaled.jpg","medium-width":338,"medium-height":261,"medium_large":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2022\/04\/NDFD_WallofFreezing1-scaled.jpg","medium_large-width":768,"medium_large-height":592,"large":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2022\/04\/NDFD_WallofFreezing1-scaled.jpg","large-width":1401,"large-height":1080,"1536x1536":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2022\/04\/NDFD_WallofFreezing1-1536x1184.jpg","1536x1536-width":1536,"1536x1536-height":1184,"2048x2048":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2022\/04\/NDFD_WallofFreezing1-2048x1579.jpg","2048x2048-width":2048,"2048x2048-height":1579,"card_image":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2022\/04\/NDFD_WallofFreezing1-603x465.jpg","card_image-width":603,"card_image-height":465,"wide_image":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2022\/04\/NDFD_WallofFreezing1-1401x1080.jpg","wide_image-width":1401,"wide_image-height":1080}},"image_position":"center","orientation":"horizontal","hyperlink":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2022\/04\/NDFD_WallofFreezing1-scaled.jpg"},{"acf_fc_layout":"content","content":"

The transitional 50s-60s needed to feel like they were those spring-like thaws\u00a0before hitting those warming yellow 70s.<\/span> To that, <\/span>we used a turquoise color that was <\/span>decently present<\/span>\u00a0to act as a bridge between blue and yellow<\/span>. <\/span>In this palette we wanted to keep the green hue at a minimum, avoiding a rainbow,<\/span> so by <\/span>design there is scant green and zero purple found on this map.<\/span><\/span>\u00a0<\/span><\/p>\n"},{"acf_fc_layout":"image","image":{"ID":1552372,"id":1552372,"title":"NDFD_50s60s-02","filename":"NDFD_50s60s-02-scaled.jpg","filesize":248750,"url":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2022\/04\/NDFD_50s60s-02-scaled.jpg","link":"https:\/\/www.esri.com\/arcgis-blog\/products\/arcgis-pro\/mapping\/a-meaningful-temperature-palette\/ndfd_50s60s-02","alt":"How the palette moves from blue to yellow using turquoise and minimal green.","author":"8492","description":"","caption":"","name":"ndfd_50s60s-02","status":"inherit","uploaded_to":1551902,"date":"2022-04-13 20:23:39","modified":"2022-04-13 20:24:14","menu_order":0,"mime_type":"image\/jpeg","type":"image","subtype":"jpeg","icon":"https:\/\/www.esri.com\/arcgis-blog\/wp-includes\/images\/media\/default.png","width":2560,"height":1973,"sizes":{"thumbnail":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2022\/04\/NDFD_50s60s-02-213x200.jpg","thumbnail-width":213,"thumbnail-height":200,"medium":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2022\/04\/NDFD_50s60s-02-scaled.jpg","medium-width":339,"medium-height":261,"medium_large":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2022\/04\/NDFD_50s60s-02-scaled.jpg","medium_large-width":768,"medium_large-height":592,"large":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2022\/04\/NDFD_50s60s-02-scaled.jpg","large-width":1401,"large-height":1080,"1536x1536":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2022\/04\/NDFD_50s60s-02-1536x1184.jpg","1536x1536-width":1536,"1536x1536-height":1184,"2048x2048":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2022\/04\/NDFD_50s60s-02-2048x1578.jpg","2048x2048-width":2048,"2048x2048-height":1578,"card_image":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2022\/04\/NDFD_50s60s-02-603x465.jpg","card_image-width":603,"card_image-height":465,"wide_image":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2022\/04\/NDFD_50s60s-02-1401x1080.jpg","wide_image-width":1401,"wide_image-height":1080}},"image_position":"center","orientation":"horizontal","hyperlink":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2022\/04\/NDFD_50s60s-02-scaled.jpg"},{"acf_fc_layout":"content","content":"

For the >=100<\/span>\u00b0F classes, that\u00a0is hotter than your normal body temperature<\/span>. <\/span>It is feverish and is an extremely dangerous break. It should be clear and identifiable on the map. For that <\/span>purpose,<\/span> a<\/span>nything past <\/span>100<\/span>\u00b0F<\/span> is r<\/span>ed-to-deep-dark-maroon and is hot<\/span>. You can easily find these pockets of <\/span>high temperatures<\/span> on the map and <\/span>identify<\/span> those areas that are dangerous for vulnerable elderly populations, young children, outdoor workers like construction and wildland fire fighters, or farmers, and <\/span>livestock.<\/span><\/span>\u00a0<\/span><\/p>\n"},{"acf_fc_layout":"image","image":{"ID":1552432,"id":1552432,"title":"NDFD_100s_3","filename":"NDFD_100s_3-scaled.jpg","filesize":245063,"url":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2022\/04\/NDFD_100s_3-scaled.jpg","link":"https:\/\/www.esri.com\/arcgis-blog\/products\/arcgis-pro\/mapping\/a-meaningful-temperature-palette\/ndfd_100s_3","alt":"","author":"8492","description":"","caption":"","name":"ndfd_100s_3","status":"inherit","uploaded_to":1551902,"date":"2022-04-13 20:44:00","modified":"2022-04-13 20:44:00","menu_order":0,"mime_type":"image\/jpeg","type":"image","subtype":"jpeg","icon":"https:\/\/www.esri.com\/arcgis-blog\/wp-includes\/images\/media\/default.png","width":1971,"height":2560,"sizes":{"thumbnail":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2022\/04\/NDFD_100s_3-213x200.jpg","thumbnail-width":213,"thumbnail-height":200,"medium":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2022\/04\/NDFD_100s_3-scaled.jpg","medium-width":201,"medium-height":261,"medium_large":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2022\/04\/NDFD_100s_3-scaled.jpg","medium_large-width":768,"medium_large-height":998,"large":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2022\/04\/NDFD_100s_3-scaled.jpg","large-width":832,"large-height":1080,"1536x1536":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2022\/04\/NDFD_100s_3-1183x1536.jpg","1536x1536-width":1183,"1536x1536-height":1536,"2048x2048":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2022\/04\/NDFD_100s_3-1577x2048.jpg","2048x2048-width":1577,"2048x2048-height":2048,"card_image":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2022\/04\/NDFD_100s_3-358x465.jpg","card_image-width":358,"card_image-height":465,"wide_image":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2022\/04\/NDFD_100s_3-831x1080.jpg","wide_image-width":831,"wide_image-height":1080}},"image_position":"center","orientation":"horizontal","hyperlink":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2022\/04\/NDFD_100s_-scaled.jpg"},{"acf_fc_layout":"content","content":"

In the end we wanted this to be a meaningful temperature palette with an intuitive map visualization that was pleasing to look at. So much love and care went into designing this layer. Please enjoy.<\/span><\/p>\n

Check out how the cartography evolved over the course of three months in 2020!<\/span>\u00a0<\/span><\/p>\n"},{"acf_fc_layout":"image","image":{"ID":1552052,"id":1552052,"title":"NDFD_MonthlyFinal","filename":"NDFD_MonthlyFinal-scaled.jpg","filesize":993448,"url":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2022\/04\/NDFD_MonthlyFinal-scaled.jpg","link":"https:\/\/www.esri.com\/arcgis-blog\/products\/arcgis-pro\/mapping\/a-meaningful-temperature-palette\/ndfd_monthlyfinal","alt":"Final map showing a sample February, May, and August 2020 and the palette range.","author":"8492","description":"","caption":"","name":"ndfd_monthlyfinal","status":"inherit","uploaded_to":1551902,"date":"2022-04-13 19:01:22","modified":"2022-04-13 19:29:05","menu_order":0,"mime_type":"image\/jpeg","type":"image","subtype":"jpeg","icon":"https:\/\/www.esri.com\/arcgis-blog\/wp-includes\/images\/media\/default.png","width":2560,"height":2560,"sizes":{"thumbnail":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2022\/04\/NDFD_MonthlyFinal-213x200.jpg","thumbnail-width":213,"thumbnail-height":200,"medium":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2022\/04\/NDFD_MonthlyFinal-scaled.jpg","medium-width":261,"medium-height":261,"medium_large":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2022\/04\/NDFD_MonthlyFinal-scaled.jpg","medium_large-width":768,"medium_large-height":768,"large":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2022\/04\/NDFD_MonthlyFinal-scaled.jpg","large-width":1080,"large-height":1080,"1536x1536":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2022\/04\/NDFD_MonthlyFinal-1536x1536.jpg","1536x1536-width":1536,"1536x1536-height":1536,"2048x2048":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2022\/04\/NDFD_MonthlyFinal-2048x2048.jpg","2048x2048-width":2048,"2048x2048-height":2048,"card_image":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2022\/04\/NDFD_MonthlyFinal-465x465.jpg","card_image-width":465,"card_image-height":465,"wide_image":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2022\/04\/NDFD_MonthlyFinal-1080x1080.jpg","wide_image-width":1080,"wide_image-height":1080}},"image_position":"center","orientation":"horizontal","hyperlink":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2022\/04\/NDFD_MonthlyFinal-scaled.jpg"},{"acf_fc_layout":"content","content":"

Do you want to build your own weather map specific to your organization or agency? This temperature layer can be the first start. Be sure to check out other weather-related content from the <\/span>Living Atlas library<\/span><\/a> including additional\u00a0<\/span>NDFD<\/span><\/a> forecast layers like <\/span>precipitation<\/span><\/a> and <\/span>snowfall<\/span><\/a>. There are many other\u00a0<\/span>authoritative live feed layers<\/span><\/a> to leverage, like <\/span>USA Weather Watches and Warnings<\/span><\/a>, <\/span>Storm Reports<\/span><\/a>, and the National Weather Service <\/span>Wind Speed<\/span><\/a> or <\/span>Gust<\/span><\/a> forecasts. <\/span>\u00a0<\/span><\/p>\n

Please feel free to reach out with comments or questions.<\/span>\u00a0<\/span><\/p>\n"}],"authors":[{"ID":8492,"user_firstname":"Emily","user_lastname":"Meriam","nickname":"Emily Meriam","user_nicename":"emeriam","display_name":"Emily Meriam","user_email":"EMeriam@esri.com","user_url":"https:\/\/www.instagram.com\/emilymeriam\/","user_registered":"2018-10-26 16:33:49","user_description":"Emily Meriam has a diverse GIS background that spans more than two decades. Her portfolio includes mapping elephants in Thailand, wildlife poachers in the Republic of Palau, land-use issues around Yosemite National Park, and active wildfire incidents for the State of California. Since 2018, Emily has been with Esri's ArcGIS Living Atlas of the World. In this role she serves as lead Cartographer and Senior GIS Engineer for the Environment Team where she styles and designs layers, maps, and applications for the global GIS community. Outside of her professional endeavors, Emily is a passionate geographer who enjoys exploring the world with her family.","user_avatar":""}],"related_articles":[{"ID":1458322,"post_author":"4491","post_date":"2022-01-18 13:24:37","post_date_gmt":"2022-01-18 21:24:37","post_content":"","post_title":"Color Ramps: Breaking away from presets","post_excerpt":"","post_status":"publish","comment_status":"open","ping_status":"closed","post_password":"","post_name":"color-ramps-breaking-away-from-presets","to_ping":"","pinged":"","post_modified":"2022-01-19 18:37:03","post_modified_gmt":"2022-01-20 02:37:03","post_content_filtered":"","post_parent":0,"guid":"https:\/\/www.esri.com\/arcgis-blog\/?post_type=blog&p=1458322","menu_order":0,"post_type":"blog","post_mime_type":"","comment_count":"0","filter":"raw"},{"ID":1361712,"post_author":"7841","post_date":"2021-09-27 18:55:59","post_date_gmt":"2021-09-28 01:55:59","post_content":"","post_title":"USA Storm Reports Live Feed: Now Even Stormier!","post_excerpt":"","post_status":"publish","comment_status":"open","ping_status":"closed","post_password":"","post_name":"usa-storm-reports-live-feed-now-even-stormier","to_ping":"","pinged":"","post_modified":"2021-09-27 18:55:59","post_modified_gmt":"2021-09-28 01:55:59","post_content_filtered":"","post_parent":0,"guid":"https:\/\/www.esri.com\/arcgis-blog\/?post_type=blog&p=1361712","menu_order":0,"post_type":"blog","post_mime_type":"","comment_count":"0","filter":"raw"},{"ID":1147572,"post_author":"7411","post_date":"2021-06-04 04:41:12","post_date_gmt":"2021-06-04 11:41:12","post_content":"","post_title":"Make custom colors and color schemes in ArcGIS Pro","post_excerpt":"","post_status":"publish","comment_status":"open","ping_status":"closed","post_password":"","post_name":"custom-colors-arcgis-pro","to_ping":"","pinged":"","post_modified":"2021-06-04 04:41:12","post_modified_gmt":"2021-06-04 11:41:12","post_content_filtered":"","post_parent":0,"guid":"https:\/\/www.esri.com\/arcgis-blog\/?post_type=blog&p=1147572","menu_order":0,"post_type":"blog","post_mime_type":"","comment_count":"0","filter":"raw"}],"card_image":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2022\/04\/NDFDCard-1.jpg","wide_image":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2022\/04\/Banner_NDFD.jpg"},"yoast_head":"\nCreating a meaningful temperature palette<\/title>\n<meta name=\"robots\" content=\"index, follow, max-snippet:-1, max-image-preview:large, max-video-preview:-1\" \/>\n<link rel=\"canonical\" href=\"https:\/\/www.esri.com\/arcgis-blog\/products\/arcgis-pro\/mapping\/a-meaningful-temperature-palette\" \/>\n<meta property=\"og:locale\" content=\"en_US\" \/>\n<meta property=\"og:type\" content=\"article\" \/>\n<meta property=\"og:title\" content=\"Creating a meaningful temperature palette\" \/>\n<meta property=\"og:url\" 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