{"id":2964475,"date":"2026-05-05T01:56:29","date_gmt":"2026-05-05T08:56:29","guid":{"rendered":"https:\/\/www.esri.com\/arcgis-blog\/?post_type=blog&p=2964475"},"modified":"2026-05-05T15:21:39","modified_gmt":"2026-05-05T22:21:39","slug":"wet-bulb-globe-temperature-layer-available-in-living-atlas","status":"publish","type":"blog","link":"https:\/\/www.esri.com\/arcgis-blog\/products\/arcgis-living-atlas\/mapping\/wet-bulb-globe-temperature-layer-available-in-living-atlas","title":{"rendered":"Wet Bulb Globe Temperature Layer is Available in Living Atlas"},"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":[26701,268131,438852,781088,780452],"industry":[],"product":[36581,36551,36561],"class_list":["post-2964475","blog","type-blog","status-publish","format-standard","hentry","category-mapping","tag-climate","tag-living-atlas","tag-temperature","tag-wet-bulb","tag-wet-bulb-globe-temperature","product-arcgis-living-atlas","product-arcgis-online","product-arcgis-pro"],"acf":{"short_description":"Track global heat stress conditions throughout the year to support health, safety, and climate analysis with Wet Bulb Globe Temperature.","flexible_content":[{"acf_fc_layout":"content","content":"

Climate change is expected to intensify throughout the 21st century, affecting the global population in many ways, from sea level rise to extreme weather events such as heat waves. Exposure to extreme heat and its impact on human health is becoming a more frequent concern for many communities and industries. We need reliable data to make robust recommendations and policies around heat stress. But temperature alone doesn’t always give us the full picture.<\/span><\/span><\/span><\/p>\n"},{"acf_fc_layout":"image","image":{"ID":2964850,"id":2964850,"title":"WetBulbMar_Jun_Sept_Dec_crop","filename":"WetBulbMar_Jun_Sept_Dec_crop.gif","filesize":33748952,"url":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2026\/05\/WetBulbMar_Jun_Sept_Dec_crop.gif","link":"https:\/\/www.esri.com\/arcgis-blog\/products\/arcgis-living-atlas\/mapping\/wet-bulb-globe-temperature-layer-available-in-living-atlas\/wetbulbmar_jun_sept_dec_crop","alt":"Animated gif showing March, June, September, and December for Wet Bulb Globe Temperature.","author":"8492","description":"","caption":"","name":"wetbulbmar_jun_sept_dec_crop","status":"inherit","uploaded_to":2964475,"date":"2026-05-05 21:02:21","modified":"2026-05-05 21:02:36","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":1916,"height":994,"sizes":{"thumbnail":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2026\/05\/WetBulbMar_Jun_Sept_Dec_crop-213x200.gif","thumbnail-width":213,"thumbnail-height":200,"medium":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2026\/05\/WetBulbMar_Jun_Sept_Dec_crop.gif","medium-width":464,"medium-height":241,"medium_large":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2026\/05\/WetBulbMar_Jun_Sept_Dec_crop.gif","medium_large-width":768,"medium_large-height":398,"large":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2026\/05\/WetBulbMar_Jun_Sept_Dec_crop.gif","large-width":1916,"large-height":994,"1536x1536":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2026\/05\/WetBulbMar_Jun_Sept_Dec_crop-1536x797.gif","1536x1536-width":1536,"1536x1536-height":797,"2048x2048":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2026\/05\/WetBulbMar_Jun_Sept_Dec_crop.gif","2048x2048-width":1916,"2048x2048-height":994,"card_image":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2026\/05\/WetBulbMar_Jun_Sept_Dec_crop-826x429.gif","card_image-width":826,"card_image-height":429,"wide_image":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2026\/05\/WetBulbMar_Jun_Sept_Dec_crop.gif","wide_image-width":1916,"wide_image-height":994}},"image_position":"center","orientation":"horizontal","hyperlink":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2026\/05\/WetBulbMar_Jun_Sept_Dec_crop.gif"},{"acf_fc_layout":"content","content":"

Three month intervals of Wet Bulb Globe Temperature Max for March, June, September, and December.<\/em><\/p>\n"},{"acf_fc_layout":"content","content":"

To help make more comprehensive heat stress data more readily available<\/span>, <\/span>a new<\/span><\/span>\u00a0<\/span><\/span>Global Wet Bulb<\/span>\u00a0Globe<\/span>\u00a0Temperature Baseline<\/span><\/span><\/a> layer <\/span>has been added to ArcGIS Living Atlas\u00a0<\/span>providing\u00a0<\/span>information about wet bulb<\/span>\u00a0globe<\/span>\u00a0temperature<\/span>\u00a0(WBGT)<\/span>, which gives us a<\/span>\u00a0better understanding of the human impact of\u00a0<\/span>high temperatures<\/span>.<\/span><\/span><\/p>\n

T<\/span>he heat stress that someone experiences is not just dependent on the air temperature, but also on humidity, wind, sun angle, and cloud cover. For example, imagine\u00a0<\/span>how much<\/span>\u00a0hotter you would feel in 25\u202f\u00b0C (77\u202f\u00b0F) in the full sun without wind in a humid tropical forest versus\u00a0<\/span>25\u202f\u00b0C on a cloudy, windy day in the dry desert.\u00a0<\/span>The wet bulb globe temp<\/span>erature is a sophisticated heat stress index that takes all of these factors into account.<\/span>\u00a0The\u202f<\/span><\/span>National Weather S<\/span>ervice<\/span><\/span><\/a>\u202fprovides suggested actions and impact prevention methods for\u00a0<\/span>different levels<\/span>\u00a0of WBG<\/span>T. These are not<\/span>ed in the table below and are represented by the redder\/darker colors in the Map Viewer.<\/span><\/span>\u00a0<\/span><\/p>\n"},{"acf_fc_layout":"image","image":{"ID":2964501,"id":2964501,"title":"WetBulbChart2","filename":"WetBulbChart2-scaled.png","filesize":530975,"url":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2026\/05\/WetBulbChart2-scaled.png","link":"https:\/\/www.esri.com\/arcgis-blog\/products\/arcgis-living-atlas\/mapping\/wet-bulb-globe-temperature-layer-available-in-living-atlas\/wetbulbchart2","alt":"Chart showing how the Wet Bulb Globe Temperature measures heat stress in direct sunlight by combining temperature, humidity, wind speed, sun angle, and cloud cover (solar radiation) into a single value. The colors in the chart correspond to the colors on the map to help identify higher risk areas.","author":"8492","description":"","caption":"","name":"wetbulbchart2","status":"inherit","uploaded_to":2964475,"date":"2026-05-01 21:33:49","modified":"2026-05-05 19:21:38","menu_order":0,"mime_type":"image\/png","type":"image","subtype":"png","icon":"https:\/\/www.esri.com\/arcgis-blog\/wp-includes\/images\/media\/default.png","width":2560,"height":1589,"sizes":{"thumbnail":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2026\/05\/WetBulbChart2-213x200.png","thumbnail-width":213,"thumbnail-height":200,"medium":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2026\/05\/WetBulbChart2-scaled.png","medium-width":420,"medium-height":261,"medium_large":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2026\/05\/WetBulbChart2-scaled.png","medium_large-width":768,"medium_large-height":477,"large":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2026\/05\/WetBulbChart2-scaled.png","large-width":1740,"large-height":1080,"1536x1536":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2026\/05\/WetBulbChart2-1536x954.png","1536x1536-width":1536,"1536x1536-height":954,"2048x2048":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2026\/05\/WetBulbChart2-2048x1271.png","2048x2048-width":2048,"2048x2048-height":1271,"card_image":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2026\/05\/WetBulbChart2-749x465.png","card_image-width":749,"card_image-height":465,"wide_image":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2026\/05\/WetBulbChart2-1740x1080.png","wide_image-width":1740,"wide_image-height":1080}},"image_position":"center","orientation":"horizontal","hyperlink":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2026\/05\/WetBulbChart2-scaled.png"},{"acf_fc_layout":"content","content":"

The Wet Bulb Globe Temperature measures heat stress in direct sunlight by combining temperature, humidity, wind speed, sun angle, and cloud cover (solar radiation) into a single value. The colors in the chart correspond to the colors on the map to help identify higher risk areas.<\/em><\/p>\n

 <\/p>\n"},{"acf_fc_layout":"content","content":"

How to use the layer<\/h2>\n

The new Living Atlas\u00a0layer provides the monthly minimum, maximum, and mean wet bulb globe temperature\u00a0over the period 1994-2023. The data is derived from\u202f<\/span>ERA5<\/span><\/a>\u202freanalysis data from the\u202f<\/span>European Centre for Medium-Range Weather Forecasts<\/span><\/a>\u202f(ECMWF) and is processed by researchers at\u202f<\/span>Purdue University<\/span><\/a>\u202fand Esri. Refer to this\u202f<\/span>Nature Scientific Data paper<\/span><\/a>\u202ffor more info on how the data is processed.<\/span>\u00a0<\/span><\/p>\n

WBGT\u202f<\/i>maximum<\/i><\/h3>\n

The highest WBGT recorded for each month. This variable is important for extreme weather preparedness and resilience. It helps\u00a0identify\u00a0the most dangerous heat conditions that could occur, even if only for\u00a0a short period. Use this for outdoor work safety planning, scheduling sports games and practices, and emergency response planning for heat waves.<\/span>\u00a0<\/span><\/p>\n

WBGT\u202f<\/i>mean<\/i>
\n<\/span><\/h3>\n

Mean WBGT for each month, calculated over the whole day, including nighttime. This variable provides a baseline measure of overall heat stress and is useful for understanding sustained exposure risks. Use this for long-term climate and health studies and to evaluate seasonal trends in heat stress. Use this in combination with WBGT maximum to assess both acute and chronic heat exposure risks.<\/span><\/p>\n

WBGT\u202f<\/i>minimum<\/i>
\n<\/i><\/strong><\/h3>\n

The lowest WBGT recorded for each month. This variable is valuable for identifying the coolest conditions and potential recovery periods from heat stress. Even during hot months, cooler nights or mornings can reduce cumulative stress on the body. Use this to determine safe windows for outdoor activity and assess nighttime cooling trends, important for vulnerable populations without access to air conditioning.<\/span><\/p>\n

 <\/p>\n"},{"acf_fc_layout":"kaltura","video_id":"1_hfbrevm6","time":true,"start":"1","stop":""},{"acf_fc_layout":"content","content":"

Globe showing monthly Wet Bulb Globe Temperature max.<\/em><\/a><\/p>\n

 <\/p>\n"},{"acf_fc_layout":"content","content":"

Accessing the Multidimensional Information<\/h2>\n

The minimum\/maximum\/mean WBGT and months are built into the layer using a multidimensional raster. In ArcGIS Online, use the Multidimensional tab to select the variable and month of your choice. Similarly, in ArcGIS Pro, the multidimensional data is usually accessible through the Multidimensional Filter tab where you can select the variable and month. Unfortunately, a bug in ArcGIS Pro 3.6 prevents you from using the Multidimensional Filter at the moment. This issue is resolved and a fix is added in ArcGIS Pro 3.7, set to be released in May 2026. Until then, please use ArcGIS Online for your multidimensional workflows on this layer.<\/span><\/p>\n

How is this different\u00a0from\u00a0the Wet Bulb\u00a0Globe Temperature\u00a0Projections?<\/h2>\n

The\u00a0<\/span>Global Wet Bulb\u00a0Globe\u00a0Temperature Projections<\/span><\/a>\u00a0layer\u00a0is\u00a0designed to provide projected scenarios to visualize how future heat stress may vary by location, time of year,\u00a0and climate\u00a0scenario.\u00a0The baseline layer shows us\u00a0a summary\u00a0of\u00a0patterns of the past\u00a0calculated with data from 1994 to 2023.\u00a0Together, the newly released layer and the projections allow us to\u00a0study\u00a0the past and\u00a0the\u00a0future to gain a full picture of heat stress and how it is changing over time.<\/span>\u00a0<\/span>\u00a0<\/span><\/p>\n"}],"authors":[{"ID":368302,"user_firstname":"Rafael","user_lastname":"Antwerpen","nickname":"Raf Antwerpen","user_nicename":"rantwerpen","display_name":"Raf Antwerpen","user_email":"rantwerpen@esri.com","user_url":"","user_registered":"2025-02-05 01:24:14","user_description":"Raf Antwerpen is a Senior GIS Engineer on the Living Atlas of the World team at Esri. He specializes in climate, agriculture, remote sensing, and data science and provides crucial subject matter expertise to climate resilience and adaptation projects. Raf holds a PhD in Earth and Environmental Sciences from Columbia University and is the curator for environmental content in the Living Atlas of the World. For any questions, please contact environment@esri.com","user_avatar":""},{"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.","user_avatar":""},{"ID":6461,"user_firstname":"Lisa","user_lastname":"Berry","nickname":"Lisa Berry","user_nicename":"lisa_berry","display_name":"Lisa Berry","user_email":"LBerry@esri.com","user_url":"","user_registered":"2018-03-02 00:18:23","user_description":"I am a Principal GIS Engineer and ArcGIS Living Atlas Evangelist at Esri. I promote all things Living Atlas, ArcGIS Online, ArcGIS Arcade, Smart Mapping, python, and cartography. I also specialize in socioeconomic and demographic datasets within Living Atlas, and how to visualize them.","user_avatar":""},{"ID":10472,"user_firstname":"Craig","user_lastname":"McCabe","nickname":"Craig McCabe","user_nicename":"cmccabe","display_name":"Craig McCabe","user_email":"CMcCabe@esri.com","user_url":"","user_registered":"2020-01-24 21:48:27","user_description":"Craig is a GIS Engineer, geologist, and geographer on the ArcGIS Living Atlas Environment team at Esri, with a passion for 3D visualization, analysis, and telling stories with data.","user_avatar":""}],"show_article_image":false,"card_image":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2026\/05\/WetBulbGlobe_Card.png","wide_image":false,"related_articles":[{"ID":2830032,"post_author":"368302","post_date":"2025-06-18 10:53:18","post_date_gmt":"2025-06-18 17:53:18","post_content":"","post_title":"Introducing CHELSA Bioclimate 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