{"id":2375712,"date":"2024-06-13T12:00:36","date_gmt":"2024-06-13T19:00:36","guid":{"rendered":"https:\/\/www.esri.com\/arcgis-blog\/?post_type=blog&p=2375712"},"modified":"2024-06-13T13:43:17","modified_gmt":"2024-06-13T20:43:17","slug":"global-streamflow-forecast-from-geoglows-available-in-living-atlas","status":"publish","type":"blog","link":"https:\/\/www.esri.com\/arcgis-blog\/products\/arcgis-living-atlas\/natural-resources\/global-streamflow-forecast-from-geoglows-available-in-living-atlas","title":{"rendered":"Global Streamflow Forecast from GEOGLOWS Available in Living Atlas"},"author":9412,"featured_media":0,"parent":0,"menu_order":0,"comment_status":"open","ping_status":"closed","template":"","format":"standard","meta":{"_acf_changed":false,"_searchwp_excluded":""},"categories":[37101,22771,23051],"tags":[37751,32871,31831,23411],"industry":[],"product":[421922,760042,36581,36551],"class_list":["post-2375712","blog","type-blog","status-publish","format-standard","hentry","category-announcements","category-natural-resources","category-water","tag-hydrologic-modeling","tag-rivers","tag-streamflow","tag-water-resources","product-arcgis","product-instant-apps","product-arcgis-living-atlas","product-arcgis-online"],"acf":{"short_description":"GEOGLOWS provides streamflow forecast data in three-hour intervals for the next 10 days on a global scale.","flexible_content":[{"acf_fc_layout":"content","content":"

The Group on Earth Observations Global Water Sustainability (GEOGLOWS)<\/a> initiative has recently upgraded its global streamflow model to version two. The GEOGLOWS 10-Day forecast layer<\/a> is now available in Living Atlas<\/a>. GEOGLOWS is a comprehensive streamflow model dataset, its forecast provides data in three-hour intervals for the next 10 days. The streamflow predictions in GEOGLOWS are generated using an ensemble approach, where runoff data from the European Centre for Medium-Range Weather Forecasts (ECMWF)<\/a> is used as input and routed using the RAPID<\/a> model. The implementation of GEOGLOWS is carried out by the hydroinformatics group at Brigham Young University (BYU)<\/a>.<\/p>\n"},{"acf_fc_layout":"image","image":{"ID":2376722,"id":2376722,"title":"GEOGLOWS Global","filename":"Global2.png","filesize":993220,"url":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2024\/06\/Global2.png","link":"https:\/\/www.esri.com\/arcgis-blog\/products\/arcgis-living-atlas\/natural-resources\/global-streamflow-forecast-from-geoglows-available-in-living-atlas\/global2","alt":"","author":"9412","description":"","caption":"","name":"global2","status":"inherit","uploaded_to":2375712,"date":"2024-06-12 19:22:26","modified":"2024-06-12 19:39:57","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":1784,"height":880,"sizes":{"thumbnail":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2024\/06\/Global2-213x200.png","thumbnail-width":213,"thumbnail-height":200,"medium":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2024\/06\/Global2.png","medium-width":464,"medium-height":229,"medium_large":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2024\/06\/Global2.png","medium_large-width":768,"medium_large-height":379,"large":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2024\/06\/Global2.png","large-width":1784,"large-height":880,"1536x1536":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2024\/06\/Global2-1536x758.png","1536x1536-width":1536,"1536x1536-height":758,"2048x2048":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2024\/06\/Global2.png","2048x2048-width":1784,"2048x2048-height":880,"card_image":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2024\/06\/Global2-826x407.png","card_image-width":826,"card_image-height":407,"wide_image":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2024\/06\/Global2.png","wide_image-width":1784,"wide_image-height":880}},"image_position":"left-center","orientation":"horizontal","hyperlink":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2024\/06\/Global2.png"},{"acf_fc_layout":"content","content":"

In GEOGLOWS version two, the coverage has been expanded to 7 million river reaches, from around 1.2 million reaches in version one. GEOGLOWS now provides information for a larger number of locations. The underlying hydro fabric network was derived from the National Geospatial-Intelligence Agency’s (NGA) TDX-hydro<\/a> dataset.<\/p>\n"},{"acf_fc_layout":"image","image":{"ID":2375862,"id":2375862,"title":"GEOGLOWS v1 vs v2","filename":"rotterdam_gif.gif","filesize":189770,"url":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2024\/06\/rotterdam_gif.gif","link":"https:\/\/www.esri.com\/arcgis-blog\/products\/arcgis-living-atlas\/natural-resources\/global-streamflow-forecast-from-geoglows-available-in-living-atlas\/rotterdam_gif","alt":"","author":"9412","description":"","caption":"","name":"rotterdam_gif","status":"inherit","uploaded_to":2375712,"date":"2024-06-12 15:28:21","modified":"2024-06-12 15:28:39","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":1290,"height":835,"sizes":{"thumbnail":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2024\/06\/rotterdam_gif-213x200.gif","thumbnail-width":213,"thumbnail-height":200,"medium":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2024\/06\/rotterdam_gif.gif","medium-width":403,"medium-height":261,"medium_large":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2024\/06\/rotterdam_gif.gif","medium_large-width":768,"medium_large-height":497,"large":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2024\/06\/rotterdam_gif.gif","large-width":1290,"large-height":835,"1536x1536":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2024\/06\/rotterdam_gif.gif","1536x1536-width":1290,"1536x1536-height":835,"2048x2048":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2024\/06\/rotterdam_gif.gif","2048x2048-width":1290,"2048x2048-height":835,"card_image":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2024\/06\/rotterdam_gif-718x465.gif","card_image-width":718,"card_image-height":465,"wide_image":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2024\/06\/rotterdam_gif.gif","wide_image-width":1290,"wide_image-height":835}},"image_position":"left-center","orientation":"horizontal","hyperlink":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2024\/06\/rotterdam_gif.gif"},{"acf_fc_layout":"content","content":"

Updates in GEOGLOWS 2.0<\/h2>\n

The GEOGLOWS 2.0 forecast in Living Atlas includes improvements such as (1) river names from Open Street Map, (2) multi-level river features, (3) symbology using return periods, (4) customizable filters for geographic regions, and (5) river forecast plots using ArcGIS Instant Apps.<\/p>\n"},{"acf_fc_layout":"content","content":"

1. River names from Open Street Map<\/h3>\n

GEOGLOWS 2.0 now includes river names from Open Street Map<\/a> in its pop-up. After clicking on a river reach, its geometry is intersected on-the-fly with the Open Street Map waterways<\/a> layers in Living Atlas to retrieve the river name.<\/p>\n"},{"acf_fc_layout":"image","image":{"ID":2376162,"id":2376162,"title":"GEOGLOWS OSM river names","filename":"OSM-river-names.png","filesize":1455014,"url":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2024\/06\/OSM-river-names.png","link":"https:\/\/www.esri.com\/arcgis-blog\/products\/arcgis-living-atlas\/natural-resources\/global-streamflow-forecast-from-geoglows-available-in-living-atlas\/osm-river-names","alt":"","author":"9412","description":"","caption":"","name":"osm-river-names","status":"inherit","uploaded_to":2375712,"date":"2024-06-12 16:35:01","modified":"2024-06-12 16:35:22","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":1928,"height":1093,"sizes":{"thumbnail":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2024\/06\/OSM-river-names-213x200.png","thumbnail-width":213,"thumbnail-height":200,"medium":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2024\/06\/OSM-river-names.png","medium-width":460,"medium-height":261,"medium_large":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2024\/06\/OSM-river-names.png","medium_large-width":768,"medium_large-height":435,"large":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2024\/06\/OSM-river-names.png","large-width":1905,"large-height":1080,"1536x1536":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2024\/06\/OSM-river-names-1536x871.png","1536x1536-width":1536,"1536x1536-height":871,"2048x2048":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2024\/06\/OSM-river-names.png","2048x2048-width":1928,"2048x2048-height":1093,"card_image":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2024\/06\/OSM-river-names-820x465.png","card_image-width":820,"card_image-height":465,"wide_image":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2024\/06\/OSM-river-names-1905x1080.png","wide_image-width":1905,"wide_image-height":1080}},"image_position":"left-center","orientation":"horizontal","hyperlink":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2024\/06\/OSM-river-names.png"},{"acf_fc_layout":"content","content":"

This means that river names will be updated automatically in the GEOGLOWS service directly from Open Street Map. If missing river names are added into the main Open Street Map database, those will be display in the GEOGLOWS 2.0 pop-up after a few hours.<\/p>\n

2. Multi-level river features<\/h3>\n

The GEOGLOWS 2.0 service is highly responsive due to the updated publishing workflow used behind the scenes. The GEOGLOWS layer was created using a scale dependent<\/a> data source query layer<\/a>, displaying generalized features for small scales and the original features at large scales. The GEOGLOWS layer is scale dependent, showing only the most prominent rivers at small scales and displaying more river features and smaller tributaries at large scales.<\/p>\n"},{"acf_fc_layout":"image","image":{"ID":2376292,"id":2376292,"title":"GEOGLOWS Texas","filename":"texas-animation.gif","filesize":1954166,"url":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2024\/06\/texas-animation.gif","link":"https:\/\/www.esri.com\/arcgis-blog\/products\/arcgis-living-atlas\/natural-resources\/global-streamflow-forecast-from-geoglows-available-in-living-atlas\/texas-animation","alt":"","author":"9412","description":"","caption":"","name":"texas-animation","status":"inherit","uploaded_to":2375712,"date":"2024-06-12 17:02:13","modified":"2024-06-12 17:02:40","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":1920,"height":1080,"sizes":{"thumbnail":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2024\/06\/texas-animation-213x200.gif","thumbnail-width":213,"thumbnail-height":200,"medium":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2024\/06\/texas-animation.gif","medium-width":464,"medium-height":261,"medium_large":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2024\/06\/texas-animation.gif","medium_large-width":768,"medium_large-height":432,"large":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2024\/06\/texas-animation.gif","large-width":1920,"large-height":1080,"1536x1536":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2024\/06\/texas-animation-1536x864.gif","1536x1536-width":1536,"1536x1536-height":864,"2048x2048":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2024\/06\/texas-animation.gif","2048x2048-width":1920,"2048x2048-height":1080,"card_image":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2024\/06\/texas-animation-826x465.gif","card_image-width":826,"card_image-height":465,"wide_image":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2024\/06\/texas-animation.gif","wide_image-width":1920,"wide_image-height":1080}},"image_position":"left-center","orientation":"horizontal","hyperlink":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2024\/06\/texas-animation.gif"},{"acf_fc_layout":"content","content":"

3. Symbology using return periods<\/h3>\n

The GEOGLOWS layer is symbolized using the return periods for each river reach. The return periods are directly related to the annual probability of exceedance<\/a>. \u00a0In essence, the return periods show how extreme a given streamflow forecast is compared to the historical simulation. Normal or expected flows (blue) are shown in a different classification from flows that exceed the 2 year (yellow), 10 year (orange), 25 year (red), and 50 year (purple) return periods.<\/p>\n"},{"acf_fc_layout":"image","image":{"ID":2376302,"id":2376302,"title":"GEOGLOWS Brazil","filename":"brazil-animation.gif","filesize":1339894,"url":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2024\/06\/brazil-animation.gif","link":"https:\/\/www.esri.com\/arcgis-blog\/products\/arcgis-living-atlas\/natural-resources\/global-streamflow-forecast-from-geoglows-available-in-living-atlas\/brazil-animation","alt":"","author":"9412","description":"","caption":"","name":"brazil-animation","status":"inherit","uploaded_to":2375712,"date":"2024-06-12 17:02:57","modified":"2024-06-12 17:03:15","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":1920,"height":1080,"sizes":{"thumbnail":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2024\/06\/brazil-animation-213x200.gif","thumbnail-width":213,"thumbnail-height":200,"medium":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2024\/06\/brazil-animation.gif","medium-width":464,"medium-height":261,"medium_large":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2024\/06\/brazil-animation.gif","medium_large-width":768,"medium_large-height":432,"large":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2024\/06\/brazil-animation.gif","large-width":1920,"large-height":1080,"1536x1536":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2024\/06\/brazil-animation-1536x864.gif","1536x1536-width":1536,"1536x1536-height":864,"2048x2048":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2024\/06\/brazil-animation.gif","2048x2048-width":1920,"2048x2048-height":1080,"card_image":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2024\/06\/brazil-animation-826x465.gif","card_image-width":826,"card_image-height":465,"wide_image":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2024\/06\/brazil-animation.gif","wide_image-width":1920,"wide_image-height":1080}},"image_position":"left-center","orientation":"horizontal","hyperlink":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2024\/06\/brazil-animation.gif"},{"acf_fc_layout":"content","content":"

Moreover, the selected color ramp works well on different basemaps from the classic topo map to imagery or dark themes.<\/p>\n"},{"acf_fc_layout":"image","image":{"ID":2378022,"id":2378022,"title":"GEOGLOWS Basemaps","filename":"GEOGLOWS-Basemaps.gif","filesize":6169840,"url":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2024\/06\/GEOGLOWS-Basemaps.gif","link":"https:\/\/www.esri.com\/arcgis-blog\/products\/arcgis-living-atlas\/natural-resources\/global-streamflow-forecast-from-geoglows-available-in-living-atlas\/geoglows-basemaps","alt":"","author":"9412","description":"","caption":"","name":"geoglows-basemaps","status":"inherit","uploaded_to":2375712,"date":"2024-06-13 12:45:35","modified":"2024-06-13 12:45:35","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":1776,"height":876,"sizes":{"thumbnail":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2024\/06\/GEOGLOWS-Basemaps-213x200.gif","thumbnail-width":213,"thumbnail-height":200,"medium":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2024\/06\/GEOGLOWS-Basemaps.gif","medium-width":464,"medium-height":229,"medium_large":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2024\/06\/GEOGLOWS-Basemaps.gif","medium_large-width":768,"medium_large-height":379,"large":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2024\/06\/GEOGLOWS-Basemaps.gif","large-width":1776,"large-height":876,"1536x1536":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2024\/06\/GEOGLOWS-Basemaps-1536x758.gif","1536x1536-width":1536,"1536x1536-height":758,"2048x2048":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2024\/06\/GEOGLOWS-Basemaps.gif","2048x2048-width":1776,"2048x2048-height":876,"card_image":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2024\/06\/GEOGLOWS-Basemaps-826x407.gif","card_image-width":826,"card_image-height":407,"wide_image":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2024\/06\/GEOGLOWS-Basemaps.gif","wide_image-width":1776,"wide_image-height":876}},"image_position":"left-center","orientation":"horizontal","hyperlink":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2024\/06\/GEOGLOWS-Basemaps.gif"},{"acf_fc_layout":"content","content":"

4. Customizable filters for geographic regions<\/h3>\n

The updated GEOGLOWS 2.0 service includes fields to create custom maps for different geographic regions. The fields such as River Country Name<\/em>, Outlet Country Name<\/em>, TDX Hydro Region Number<\/em>, or Terminal TDX Hydro Link Number<\/em> can be used to apply a filter<\/a> and subset the data set.<\/p>\n"},{"acf_fc_layout":"image","image":{"ID":2376862,"id":2376862,"title":"GEOGLOWS Filters","filename":"filters2.png","filesize":430159,"url":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2024\/06\/filters2.png","link":"https:\/\/www.esri.com\/arcgis-blog\/products\/arcgis-living-atlas\/natural-resources\/global-streamflow-forecast-from-geoglows-available-in-living-atlas\/filters2","alt":"","author":"9412","description":"","caption":"","name":"filters2","status":"inherit","uploaded_to":2375712,"date":"2024-06-12 19:42:32","modified":"2024-06-12 19:42:45","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":1029,"height":701,"sizes":{"thumbnail":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2024\/06\/filters2-213x200.png","thumbnail-width":213,"thumbnail-height":200,"medium":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2024\/06\/filters2.png","medium-width":383,"medium-height":261,"medium_large":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2024\/06\/filters2.png","medium_large-width":768,"medium_large-height":523,"large":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2024\/06\/filters2.png","large-width":1029,"large-height":701,"1536x1536":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2024\/06\/filters2.png","1536x1536-width":1029,"1536x1536-height":701,"2048x2048":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2024\/06\/filters2.png","2048x2048-width":1029,"2048x2048-height":701,"card_image":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2024\/06\/filters2-683x465.png","card_image-width":683,"card_image-height":465,"wide_image":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2024\/06\/filters2.png","wide_image-width":1029,"wide_image-height":701}},"image_position":"left-center","orientation":"horizontal","hyperlink":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2024\/06\/filters2.png"},{"acf_fc_layout":"content","content":"

5. River forecast plots using ArcGIS Instant Apps<\/h3>\n

The GEOGLOWS service is part of the upcoming Streamflow Viewer<\/a> template of the ArcGIS Instant Apps<\/a>. The streamflow viewer template can be used to create an app that includes an interactive plot of the GEOGLOWS forecast, showing the variation of streamflow over time.<\/p>\n"},{"acf_fc_layout":"image","image":{"ID":2376972,"id":2376972,"title":"Streamflow Viewer","filename":"Streamflow-Viewer.png","filesize":569140,"url":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2024\/06\/Streamflow-Viewer.png","link":"https:\/\/www.esri.com\/arcgis-blog\/products\/arcgis-living-atlas\/natural-resources\/global-streamflow-forecast-from-geoglows-available-in-living-atlas\/streamflow-viewer","alt":"","author":"9412","description":"","caption":"","name":"streamflow-viewer","status":"inherit","uploaded_to":2375712,"date":"2024-06-12 20:06:00","modified":"2024-06-12 20:06:00","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":1739,"height":981,"sizes":{"thumbnail":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2024\/06\/Streamflow-Viewer-213x200.png","thumbnail-width":213,"thumbnail-height":200,"medium":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2024\/06\/Streamflow-Viewer.png","medium-width":464,"medium-height":261,"medium_large":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2024\/06\/Streamflow-Viewer.png","medium_large-width":768,"medium_large-height":433,"large":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2024\/06\/Streamflow-Viewer.png","large-width":1739,"large-height":981,"1536x1536":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2024\/06\/Streamflow-Viewer-1536x866.png","1536x1536-width":1536,"1536x1536-height":866,"2048x2048":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2024\/06\/Streamflow-Viewer.png","2048x2048-width":1739,"2048x2048-height":981,"card_image":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2024\/06\/Streamflow-Viewer-824x465.png","card_image-width":824,"card_image-height":465,"wide_image":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2024\/06\/Streamflow-Viewer.png","wide_image-width":1739,"wide_image-height":981}},"image_position":"left-center","orientation":"horizontal","hyperlink":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2024\/06\/Streamflow-Viewer.png"},{"acf_fc_layout":"content","content":"

Summary<\/h2>\n

GEOGLOWS 2.0 is a comprehensive streamflow model, its forecast in Living Atlas provides river flow information in three-hour intervals for the next 10 days for around 7 million reaches. The GEOGLOWS Living Atlas layer<\/a> is a multi-scale service, it displays river names from Open Street Map<\/a>, can be customized for any geographic region, and the forecast can be plotted using ArcGIS Instant Apps<\/a>.<\/p>\n

More Information?<\/h2>\n

Visit the official GEOGLOWS service webpage<\/a>, review the GEOGLOWS data guide<\/a>, or join the GEOGLOWS user group<\/a>.<\/p>\n

Interested in water resources and GIS? visit the Esri Water Resources<\/a> industry page or join the Esri Community<\/a> and ask questions to our experts.<\/p>\n"}],"authors":[{"ID":9412,"user_firstname":"Gonzalo","user_lastname":"Espinoza Davalos","nickname":"Gonzalo Espinoza","user_nicename":"gespinoza","display_name":"Gonzalo Espinoza","user_email":"gespinoza@esri.com","user_url":"http:\/\/www.gespinozadav.com","user_registered":"2019-04-04 19:02:26","user_description":"Gonzalo Espinoza specializes in hydrologic modeling, real time climate and hydro-informatic tools such as flood mapping and forecasting using National Water Model data. He masters the full geospatial tech stack required to develop scalable and operational services relying on large volumes of EO data in the fields of water and environment. Gonzalo holds a PhD in Civil Engineering from the University of Texas at Austin.\r\n\r\nFor questions about ArcGIS Living Atlas, 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. Outside of her professional endeavors, Emily is a passionate geographer who enjoys exploring the world with her family.","user_avatar":""}],"related_articles":"","card_image":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2024\/06\/GeoGLOWSCard2_for_wp5.png","wide_image":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2024\/06\/GeoGLOWSBanner2_forwp6.png"},"yoast_head":"\nGEOGLOWS 2.0 Streamflow Model Forecast in Living Atlas<\/title>\n<meta name=\"description\" content=\"The GEOGLOWS 10-Day forecast layer is now available in Living Atlas. GEOGLOWS is a comprehensive streamflow model dataset, its forecast provides data in three-hour intervals for the next 10 days. 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GEOGLOWS is a comprehensive streamflow model dataset, its forecast provides data in three-hour intervals for the next 10 days. The streamflow predictions in GEOGLOWS are generated using an ensemble approach, where runoff data from the European Centre for Medium-Range Weather Forecasts (ECMWF) is used as input and routed using the RAPID model. 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