{"id":2830032,"date":"2025-06-18T10:53:18","date_gmt":"2025-06-18T17:53:18","guid":{"rendered":"https:\/\/www.esri.com\/arcgis-blog\/?post_type=blog&p=2830032"},"modified":"2025-06-25T13:54:44","modified_gmt":"2025-06-25T20:54:44","slug":"introducing-chelsa-bioclimate-projections","status":"publish","type":"blog","link":"https:\/\/www.esri.com\/arcgis-blog\/products\/arcgis-living-atlas\/announcements\/introducing-chelsa-bioclimate-projections","title":{"rendered":"Introducing CHELSA Bioclimate Projections"},"author":368302,"featured_media":0,"parent":0,"menu_order":0,"comment_status":"open","ping_status":"closed","template":"","format":"standard","meta":{"_acf_changed":false,"_searchwp_excluded":""},"categories":[23341,37101,430212],"tags":[572002,779892,779882,39271,410642],"industry":[],"product":[36581],"class_list":["post-2830032","blog","type-blog","status-publish","format-standard","hentry","category-analytics","category-announcements","category-sustainable-development","tag-arcgis-living-atlas","tag-bioclimate","tag-chelsa","tag-climate-change","tag-environment","product-arcgis-living-atlas"],"acf":{"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.","user_avatar":""}],"short_description":"Introducing CHELSA Bioclimate Projections - a new data collection for all your climate applications","flexible_content":[{"acf_fc_layout":"content","content":"

A new and improved collection of global bioclimate projection layers is now available in the Living Atlas! The new CHELSA Bioclimate Projections<\/a> collection will replace the WorldClim bioclimate projection layers in the Living Atlas, providing enhanced accuracy and resolution for all your long-term climate applications in agriculture, forestry, and more.<\/p>\n"},{"acf_fc_layout":"image","image":{"ID":2841602,"id":2841602,"title":"bio1","filename":"bio1.png","filesize":696010,"url":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2025\/06\/bio1.png","link":"https:\/\/www.esri.com\/arcgis-blog\/products\/arcgis-living-atlas\/announcements\/introducing-chelsa-bioclimate-projections\/bio1","alt":"This image shows the annual mean temperature (bio1) for 2041-2070 under SSP3-7.0.","author":"368302","description":"","caption":"CHELSA annual mean temperature (bio1).","name":"bio1","status":"inherit","uploaded_to":2830032,"date":"2025-06-18 16:17:38","modified":"2025-06-25 19:36:37","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":1725,"height":865,"sizes":{"thumbnail":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2025\/06\/bio1-213x200.png","thumbnail-width":213,"thumbnail-height":200,"medium":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2025\/06\/bio1.png","medium-width":464,"medium-height":233,"medium_large":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2025\/06\/bio1.png","medium_large-width":768,"medium_large-height":385,"large":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2025\/06\/bio1.png","large-width":1725,"large-height":865,"1536x1536":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2025\/06\/bio1-1536x770.png","1536x1536-width":1536,"1536x1536-height":770,"2048x2048":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2025\/06\/bio1.png","2048x2048-width":1725,"2048x2048-height":865,"card_image":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2025\/06\/bio1-826x414.png","card_image-width":826,"card_image-height":414,"wide_image":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2025\/06\/bio1.png","wide_image-width":1725,"wide_image-height":865}},"image_position":"center","orientation":"horizontal","hyperlink":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2025\/06\/bio1.png"},{"acf_fc_layout":"content","content":"

The CHELSA collection contains 19 temperature and precipitation layers derived from state-of-the-art climate models. The layers include projections until the end of the century following several greenhouse gas scenarios (SSPs). The video below shows how to visualize this multidimensional information in ArcGIS Online and Map Viewer. The high resolution (~1 km) is essential for your analyses and resilience-planning in regions with small spatial features, such as mountain ranges, coasts, and forests. Access to the newest and highest quality bioclimate projections is crucial for conservationists, suitability modelers, and others like you as climate change continues to impact Earth\u2019s ecosystems and biodiversity. Make sure to check out the CHELSA item descriptions<\/a>\u00a0if you are into the nitty-gritty nerdy details.<\/p>\n

The CHELSA collection is optimized for bioclimate applications in the natural world, such as for agriculture and ecosystems, and may not be as suitable for applications in urban or engineering settings. Use this data collection conscientiously, it is derived from climate model output which inherently has spatial and temporal biases.<\/p>\n"},{"acf_fc_layout":"image","image":{"ID":2858692,"id":2858692,"title":"CHELSA_multidimensional_instruction","filename":"CHELSA_multidimensional_instruction.gif","filesize":5948583,"url":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2025\/06\/CHELSA_multidimensional_instruction.gif","link":"https:\/\/www.esri.com\/arcgis-blog\/products\/arcgis-living-atlas\/announcements\/introducing-chelsa-bioclimate-projections\/chelsa_multidimensional_instruction","alt":"This video shows instructions on visualizing CHELSA annual mean temperature data for different periods and climate scenarios from the multidimensional tab.","author":"368302","description":"","caption":"Instructions on visualizing CHELSA annual mean temperature data for different periods and climate scenarios from the multidimensional tab.","name":"chelsa_multidimensional_instruction","status":"inherit","uploaded_to":2830032,"date":"2025-06-25 20:48:10","modified":"2025-06-25 20:53:54","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":2458,"height":1118,"sizes":{"thumbnail":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2025\/06\/CHELSA_multidimensional_instruction-213x200.gif","thumbnail-width":213,"thumbnail-height":200,"medium":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2025\/06\/CHELSA_multidimensional_instruction.gif","medium-width":464,"medium-height":211,"medium_large":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2025\/06\/CHELSA_multidimensional_instruction.gif","medium_large-width":768,"medium_large-height":349,"large":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2025\/06\/CHELSA_multidimensional_instruction.gif","large-width":1920,"large-height":873,"1536x1536":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2025\/06\/CHELSA_multidimensional_instruction-1536x699.gif","1536x1536-width":1536,"1536x1536-height":699,"2048x2048":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2025\/06\/CHELSA_multidimensional_instruction-2048x932.gif","2048x2048-width":2048,"2048x2048-height":932,"card_image":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2025\/06\/CHELSA_multidimensional_instruction-826x376.gif","card_image-width":826,"card_image-height":376,"wide_image":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2025\/06\/CHELSA_multidimensional_instruction-1920x873.gif","wide_image-width":1920,"wide_image-height":873}},"image_position":"center","orientation":"horizontal","hyperlink":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2025\/06\/CHELSA_multidimensional_instruction.gif"},{"acf_fc_layout":"content","content":"

The Science of Where<\/strong><\/p>\n

Load the CHELSA bioclimate projections in ArcGIS Pro to analyze spatial and temporal trends and patterns. Analyze the data on a global scale or use the Pairwise Clip<\/a> tool to focus on your desired country or region. Or use CHELSA to model how species distributions evolve throughout the rest of the century as a result of climate change. Use the Download Species Occurrence Points<\/a> tool to import observations of any species from the Global Biodiversity Information Facility (GBIF<\/a>) and use the Sample<\/a> tool to gather CHELSA temperature and precipitation information at these locations.<\/p>\n

For example, you can model how the habitat range of European honey bees (Apis mellifera<\/em>) could change due to climate change. The image below shows the modeled probability of honey bees being found in France for the end of the century under a high-emission scenario. Yellow colors indicate a probability of >75% that honey bees will be present. Black colors indicate a <25% chance of presence. These estimates are modeled using the Presence-only Prediction (MaxEnt)<\/a> tool, a sophisticated machine learning model readily available in ArcGIS Pro.<\/p>\n

Explore the CHELSA data today and boost your climate analysis! Let\u2019s work together towards a more sustainable and resilient future.<\/p>\n"},{"acf_fc_layout":"image","image":{"ID":2841532,"id":2841532,"title":"pro_chelsa_maxent3","filename":"pro_chelsa_maxent3.png","filesize":1652441,"url":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2025\/06\/pro_chelsa_maxent3.png","link":"https:\/\/www.esri.com\/arcgis-blog\/products\/arcgis-living-atlas\/announcements\/introducing-chelsa-bioclimate-projections\/pro_chelsa_maxent3","alt":"This image shows the MaxEnt end-of-century predictions of the probability of presence of European honey bees (Apis mellifera) in France. Lighter colors indicate a higher likelihood of presence.","author":"368302","description":"","caption":"MaxEnt end-of-century predictions of the probability of presence of European honey bees (Apis mellifera) in France. Lighter colors indicate a higher likelihood of presence.","name":"pro_chelsa_maxent3","status":"inherit","uploaded_to":2830032,"date":"2025-06-18 16:07:50","modified":"2025-06-25 20:22:26","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":1544,"height":1162,"sizes":{"thumbnail":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2025\/06\/pro_chelsa_maxent3-213x200.png","thumbnail-width":213,"thumbnail-height":200,"medium":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2025\/06\/pro_chelsa_maxent3.png","medium-width":347,"medium-height":261,"medium_large":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2025\/06\/pro_chelsa_maxent3.png","medium_large-width":768,"medium_large-height":578,"large":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2025\/06\/pro_chelsa_maxent3.png","large-width":1435,"large-height":1080,"1536x1536":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2025\/06\/pro_chelsa_maxent3-1536x1156.png","1536x1536-width":1536,"1536x1536-height":1156,"2048x2048":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2025\/06\/pro_chelsa_maxent3.png","2048x2048-width":1544,"2048x2048-height":1162,"card_image":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2025\/06\/pro_chelsa_maxent3-618x465.png","card_image-width":618,"card_image-height":465,"wide_image":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2025\/06\/pro_chelsa_maxent3-1435x1080.png","wide_image-width":1435,"wide_image-height":1080}},"image_position":"center","orientation":"horizontal","hyperlink":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2025\/06\/pro_chelsa_maxent3.png"},{"acf_fc_layout":"content","content":"

Out with WorldClim, in with CHELSA<\/strong><\/p>\n

Note that the collection of WorldClim bioclimate projections is in mature support as of now. The CHELSA collection will replace each bioclimate projection one-to-one as follows:<\/p>\n

WorldClim (old)\u00a0 \u00a0 \u00a0 \u00a0 \u00a0 \u00a0 \u00a0 \u00a0 \u00a0 \u00a0 \u00a0 \u00a0 \u00a0 \u00a0CHELSA (new)<\/p>\n

Bio1<\/a>\u00a0 \u00a0 \u00a0 \u00a0 \u00a0 \u00a0 \u00a0 \u00a0 \u00a0 \u00a0 \u00a0 \u00a0 \u00a0 \u00a0 \u00a0 \u00a0 \u00a0 \u00a0 \u00a0 \u00a0 \u00a0 \u00a0 \u00a0 \u00a0 Bio1<\/a><\/p>\n

Bio2<\/a>\u00a0 \u00a0 \u00a0 \u00a0 \u00a0 \u00a0 \u00a0 \u00a0 \u00a0 \u00a0 \u00a0 \u00a0 \u00a0 \u00a0 \u00a0 \u00a0 \u00a0 \u00a0 \u00a0 \u00a0 \u00a0 \u00a0 \u00a0 \u00a0 Bio2<\/a><\/p>\n

Bio3<\/a>\u00a0 \u00a0 \u00a0 \u00a0 \u00a0 \u00a0 \u00a0 \u00a0 \u00a0 \u00a0 \u00a0 \u00a0 \u00a0 \u00a0 \u00a0 \u00a0 \u00a0 \u00a0 \u00a0 \u00a0 \u00a0 \u00a0 \u00a0 \u00a0 Bio3<\/a><\/p>\n

Bio4<\/a>\u00a0 \u00a0 \u00a0 \u00a0 \u00a0 \u00a0 \u00a0 \u00a0 \u00a0 \u00a0 \u00a0 \u00a0 \u00a0 \u00a0 \u00a0 \u00a0 \u00a0 \u00a0 \u00a0 \u00a0 \u00a0 \u00a0 \u00a0 \u00a0 Bio4<\/a><\/p>\n

Bio5<\/a>\u00a0 \u00a0 \u00a0 \u00a0 \u00a0 \u00a0 \u00a0 \u00a0 \u00a0 \u00a0 \u00a0 \u00a0 \u00a0 \u00a0 \u00a0 \u00a0 \u00a0 \u00a0 \u00a0 \u00a0 \u00a0 \u00a0 \u00a0 \u00a0 Bio5<\/a><\/p>\n

Bio6<\/a>\u00a0 \u00a0 \u00a0 \u00a0 \u00a0 \u00a0 \u00a0 \u00a0 \u00a0 \u00a0 \u00a0 \u00a0 \u00a0 \u00a0 \u00a0 \u00a0 \u00a0 \u00a0 \u00a0 \u00a0 \u00a0 \u00a0 \u00a0 \u00a0 Bio6<\/a><\/p>\n

Bio7<\/a>\u00a0 \u00a0 \u00a0 \u00a0 \u00a0 \u00a0 \u00a0 \u00a0 \u00a0 \u00a0 \u00a0 \u00a0 \u00a0 \u00a0 \u00a0 \u00a0 \u00a0 \u00a0 \u00a0 \u00a0 \u00a0 \u00a0 \u00a0 \u00a0 Bio7<\/a><\/p>\n

Bio8<\/a>\u00a0 \u00a0 \u00a0 \u00a0 \u00a0 \u00a0 \u00a0 \u00a0 \u00a0 \u00a0 \u00a0 \u00a0 \u00a0 \u00a0 \u00a0 \u00a0 \u00a0 \u00a0 \u00a0 \u00a0 \u00a0 \u00a0 \u00a0 \u00a0 Bio8<\/a><\/p>\n

Bio9<\/a>\u00a0 \u00a0 \u00a0 \u00a0 \u00a0 \u00a0 \u00a0 \u00a0 \u00a0 \u00a0 \u00a0 \u00a0 \u00a0 \u00a0 \u00a0 \u00a0 \u00a0 \u00a0 \u00a0 \u00a0 \u00a0 \u00a0 \u00a0 \u00a0 Bio9<\/a><\/p>\n

Bio10<\/a>\u00a0 \u00a0 \u00a0 \u00a0 \u00a0 \u00a0 \u00a0 \u00a0 \u00a0 \u00a0 \u00a0 \u00a0 \u00a0 \u00a0 \u00a0 \u00a0 \u00a0 \u00a0 \u00a0 \u00a0 \u00a0 \u00a0 \u00a0 Bio10<\/a><\/p>\n

Bio11<\/a>\u00a0 \u00a0 \u00a0 \u00a0 \u00a0 \u00a0 \u00a0 \u00a0 \u00a0 \u00a0 \u00a0 \u00a0 \u00a0 \u00a0 \u00a0 \u00a0 \u00a0 \u00a0 \u00a0 \u00a0 \u00a0 \u00a0 \u00a0 Bio11<\/a><\/p>\n

Bio12<\/a>\u00a0 \u00a0 \u00a0 \u00a0 \u00a0 \u00a0 \u00a0 \u00a0 \u00a0 \u00a0 \u00a0 \u00a0 \u00a0 \u00a0 \u00a0 \u00a0 \u00a0 \u00a0 \u00a0 \u00a0 \u00a0 \u00a0 \u00a0 Bio12<\/a><\/p>\n

Bio13<\/a>\u00a0 \u00a0 \u00a0 \u00a0 \u00a0 \u00a0 \u00a0 \u00a0 \u00a0 \u00a0 \u00a0 \u00a0 \u00a0 \u00a0 \u00a0 \u00a0 \u00a0 \u00a0 \u00a0 \u00a0 \u00a0 \u00a0 \u00a0 Bio13<\/a><\/p>\n

Bio14<\/a>\u00a0 \u00a0 \u00a0 \u00a0 \u00a0 \u00a0 \u00a0 \u00a0 \u00a0 \u00a0 \u00a0 \u00a0 \u00a0 \u00a0 \u00a0 \u00a0 \u00a0 \u00a0 \u00a0 \u00a0 \u00a0 \u00a0 \u00a0 Bio14<\/a><\/p>\n

Bio15<\/a>\u00a0 \u00a0 \u00a0 \u00a0 \u00a0 \u00a0 \u00a0 \u00a0 \u00a0 \u00a0 \u00a0 \u00a0 \u00a0 \u00a0 \u00a0 \u00a0 \u00a0 \u00a0 \u00a0 \u00a0 \u00a0 \u00a0 \u00a0 Bio15<\/a><\/p>\n

Bio16<\/a>\u00a0 \u00a0 \u00a0 \u00a0 \u00a0 \u00a0 \u00a0 \u00a0 \u00a0 \u00a0 \u00a0 \u00a0 \u00a0 \u00a0 \u00a0 \u00a0 \u00a0 \u00a0 \u00a0 \u00a0 \u00a0 \u00a0 \u00a0 Bio16<\/a><\/p>\n

Bio17<\/a>\u00a0 \u00a0 \u00a0 \u00a0 \u00a0 \u00a0 \u00a0 \u00a0 \u00a0 \u00a0 \u00a0 \u00a0 \u00a0 \u00a0 \u00a0 \u00a0 \u00a0 \u00a0 \u00a0 \u00a0 \u00a0 \u00a0 \u00a0 Bio17<\/a><\/p>\n

Bio18<\/a>\u00a0 \u00a0 \u00a0 \u00a0 \u00a0 \u00a0 \u00a0 \u00a0 \u00a0 \u00a0 \u00a0 \u00a0 \u00a0 \u00a0 \u00a0 \u00a0 \u00a0 \u00a0 \u00a0 \u00a0 \u00a0 \u00a0 \u00a0 Bio18<\/a><\/p>\n

Bio19<\/a>\u00a0 \u00a0 \u00a0 \u00a0 \u00a0 \u00a0 \u00a0 \u00a0 \u00a0 \u00a0 \u00a0 \u00a0 \u00a0 \u00a0 \u00a0 \u00a0 \u00a0 \u00a0 \u00a0 \u00a0 \u00a0 \u00a0 \u00a0 Bio19<\/a><\/p>\n

Please update your maps and apps accordingly. The WorldClim collection will be retired in December 2026.<\/p>\n"},{"acf_fc_layout":"image","image":{"ID":2841622,"id":2841622,"title":"bio12_papua_new_guinea","filename":"bio12_papua_new_guinea.png","filesize":365116,"url":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2025\/06\/bio12_papua_new_guinea.png","link":"https:\/\/www.esri.com\/arcgis-blog\/products\/arcgis-living-atlas\/announcements\/introducing-chelsa-bioclimate-projections\/bio12_papua_new_guinea","alt":"This image shows the annual precipitation (bio12) over Papua New Guinea and Eastern Indonesia for 2071-2100 under SSP5-8.5.","author":"368302","description":"","caption":"CHELSA annual precipitation (bio12) over Papua New Guinea and Eastern Indonesia.","name":"bio12_papua_new_guinea","status":"inherit","uploaded_to":2830032,"date":"2025-06-18 16:21:42","modified":"2025-06-25 20:23:13","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":1149,"height":522,"sizes":{"thumbnail":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2025\/06\/bio12_papua_new_guinea-213x200.png","thumbnail-width":213,"thumbnail-height":200,"medium":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2025\/06\/bio12_papua_new_guinea.png","medium-width":464,"medium-height":211,"medium_large":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2025\/06\/bio12_papua_new_guinea.png","medium_large-width":768,"medium_large-height":349,"large":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2025\/06\/bio12_papua_new_guinea.png","large-width":1149,"large-height":522,"1536x1536":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2025\/06\/bio12_papua_new_guinea.png","1536x1536-width":1149,"1536x1536-height":522,"2048x2048":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2025\/06\/bio12_papua_new_guinea.png","2048x2048-width":1149,"2048x2048-height":522,"card_image":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2025\/06\/bio12_papua_new_guinea-826x375.png","card_image-width":826,"card_image-height":375,"wide_image":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2025\/06\/bio12_papua_new_guinea.png","wide_image-width":1149,"wide_image-height":522}},"image_position":"center","orientation":"horizontal","hyperlink":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2025\/06\/bio12_papua_new_guinea.png"},{"acf_fc_layout":"content","content":"

More Information<\/strong><\/p>\n

Join the Esri Community<\/a> of experts and get inspired by others or get answers to your questions.<\/p>\n"}],"related_articles":"","show_article_image":true,"card_image":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2025\/06\/bio1_banner_card.png","wide_image":false},"yoast_head":"\nIntroducing CHELSA Bioclimate Projections<\/title>\n<meta name=\"description\" content=\"A new and improved collection of global bioclimate projection layers is now available in the Living Atlas! The new CHELSA Bioclimate Projections collection will replace the WorldClim bioclimate projection layers in the Living Atlas, providing enhanced accuracy and resolution for all your long-term climate applications in agriculture, forestry, and more.\" \/>\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-living-atlas\/announcements\/introducing-chelsa-bioclimate-projections\" \/>\n<meta property=\"og:locale\" content=\"en_US\" \/>\n<meta property=\"og:type\" content=\"article\" \/>\n<meta property=\"og:title\" content=\"Introducing CHELSA Bioclimate Projections\" \/>\n<meta property=\"og:description\" content=\"A new and improved collection of global bioclimate projection layers is now available in the Living Atlas! 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