{"id":195242,"date":"2018-06-01T18:27:43","date_gmt":"2018-06-01T18:27:43","guid":{"rendered":"http:\/\/www.esri.com\/arcgis-blog\/?post_type=blog&#038;p=195242"},"modified":"2018-06-04T17:25:22","modified_gmt":"2018-06-04T17:25:22","slug":"change-in-storage-maps-added-to-the-living-atlas","status":"publish","type":"blog","link":"https:\/\/www.esri.com\/arcgis-blog\/products\/arcgis-living-atlas\/water\/change-in-storage-maps-added-to-the-living-atlas","title":{"rendered":"Change in Storage Maps added to the Living Atlas"},"author":5221,"featured_media":0,"parent":0,"menu_order":0,"comment_status":"closed","ping_status":"closed","template":"","format":"standard","meta":{"_acf_changed":false,"_searchwp_excluded":""},"categories":[22771,23051],"tags":[22951,24981,40161,28601],"industry":[],"product":[36581],"class_list":["post-195242","blog","type-blog","status-publish","format-standard","hentry","category-natural-resources","category-water","tag-arcgis-content","tag-hydro","tag-living-atlas-of-the-world","tag-sciences","product-arcgis-living-atlas"],"acf":{"short_description":"A global map showing monthly change in water storage has been added to the Living Atlas of the World.","flexible_content":[{"acf_fc_layout":"content","content":"<p>A new image service has been added to the Living Atlas of the World. It shows monthly change in <a href=\"http:\/\/www.arcgis.com\/home\/item.html?id=bbee4194beee4dccb067b426e2ed1640\">water storage<\/a>, as derived from NASA&#8217;s GLDAS dataset. Change in storage is calculated by subtracting the water output (runoff and evaporation) from water input (rainfall). Where the input is higher than the output, this means water is being stored in the landscape. Where output is higher than the input, storage is being depleted. This image service is time-enabled, allowing you to move through the seasons, month by month, and visualize the ebb and flow of water over the past 18 years.<\/p>\n<p>Depletion is not necessarily a bad thing, of course. It is common for landscapes to store water during the rainy season, and dry out before the rains come again. The ecology of a region is adapted to this natural water cycle. A problem only arises when that cycle breaks. Perhaps the summers become too hot, or the rains come less often. Changes like these are becoming more common as global climate cycles are disrupted by anthropogenic influence. In order to help understand how our influence is affecting these regional water cycles, Esri built the <a href=\"https:\/\/livingatlas.arcgis.com\/waterbalance\/\">Water Balance App<\/a>. This application is combines all of the GLDAS layers into a single application with an intuitive interface and useful analytics.<\/p>\n<p>&nbsp;<\/p>\n"},{"acf_fc_layout":"image","image":{"ID":201492,"id":201492,"title":"WaterBalance","filename":"balance.jpg","filesize":85406,"url":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2018\/06\/balance.jpg","link":"https:\/\/www.esri.com\/arcgis-blog\/products\/arcgis-living-atlas\/water\/change-in-storage-maps-added-to-the-living-atlas\/balance","alt":"Water Balance App","author":"5221","description":"Water Balance Application from the Living Atlas.","caption":"Water Balance App","name":"balance","status":"inherit","uploaded_to":195242,"date":"2018-06-01 18:24:40","modified":"2018-06-01 18:25:15","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":1000,"height":569,"sizes":{"thumbnail":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2018\/06\/balance.jpg","thumbnail-width":213,"thumbnail-height":121,"medium":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2018\/06\/balance.jpg","medium-width":459,"medium-height":261,"medium_large":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2018\/06\/balance.jpg","medium_large-width":768,"medium_large-height":437,"large":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2018\/06\/balance.jpg","large-width":1000,"large-height":569,"1536x1536":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2018\/06\/balance.jpg","1536x1536-width":1000,"1536x1536-height":569,"2048x2048":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2018\/06\/balance.jpg","2048x2048-width":1000,"2048x2048-height":569,"card_image":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2018\/06\/balance.jpg","card_image-width":817,"card_image-height":465,"wide_image":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2018\/06\/balance.jpg","wide_image-width":1000,"wide_image-height":569}},"image_position":"center","orientation":"horizontal","hyperlink":"https:\/\/livingatlas.arcgis.com\/waterbalance\/"},{"acf_fc_layout":"content","content":"<p>By clicking on any point, you can see the full time series and begin to investigate it. The trend analyzer (bottom right) lets you extract the values for any specific month, so you can see if December rainfall is trending up or down, or if July evapotranspiration is increasing. This panel also lets you to see the seasonal variation during a normal year (by graphing the average for each month) or aggregate the time series into annual time steps to see the long term trend more clearly.<\/p>\n<p>The Water Balance Panel (bottom left) shows how the different GLDAS parameters interact to define the hydrology of a landscape. It makes clear how the change in storage was calculated, and how it compares to what is normal for this month. It also shows how much soil moisture and snowpack have changed. This should be close to the total change in storage, but because there are also reservoirs, aquifers, and industrial withdrawals, these numbers don\u2019t always match exactly.<\/p>\n<h3>What can I do with this layer?<\/h3>\n<p>The Change in Storage layer is an image service, which means you can access it from any app in the ArcGIS Platform, not just the Water Balance App. You can add it to maps you are building in ArcGIS Online, ArcMap, ArcGIS Pro, and even custom web apps of your own. It can also be used as an input to geoprocessing tools and Python scripts. The \u201cZonal Statistics as Table\u201d tool is particularly useful for calculating the storage change in a watershed or other region of interest.<\/p>\n"}],"authors":[{"ID":5221,"user_firstname":"Daniel","user_lastname":"Siegel","nickname":"Daniel","user_nicename":"daniel-siegel","display_name":"Daniel Siegel","user_email":"DSiegel@esri.com","user_url":"","user_registered":"2018-03-02 00:16:52","user_description":"Daniel is curator of Earth Observations content for the Living Atlas of the World. He first joined Esri in 2012 after studying water resource engineering at the University of Texas. An avid backpacker and rock climber, he is passionate about environmental conservation and wilderness protection.","user_avatar":"<img data-del=\"avatar\" src='https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2018\/05\/circle.png' class='avatar pp-user-avatar avatar-96 photo ' height='96' width='96'\/>"}],"related_articles":[{"ID":79631,"post_author":"5221","post_date":"2017-09-25 15:47:58","post_date_gmt":"2017-09-25 15:47:58","post_content":"","post_title":"Explore Climate Trends with the Water Balance App","post_excerpt":"","post_status":"publish","comment_status":"open","ping_status":"closed","post_password":"","post_name":"explore-climate-trends-with-the-water-balance-app","to_ping":"","pinged":"","post_modified":"2018-03-26 21:14:53","post_modified_gmt":"2018-03-26 21:14:53","post_content_filtered":"","post_parent":0,"guid":"http:\/\/www.esri.com\/arcgis-blog\/products\/product\/uncategorized\/explore-climate-trends-with-the-water-balance-app\/","menu_order":0,"post_type":"blog","post_mime_type":"","comment_count":"0","filter":"raw"},{"ID":123381,"post_author":"5221","post_date":"2018-03-15 12:53:58","post_date_gmt":"2018-03-15 12:53:58","post_content":"Just because you can\u2019t see evapotranspiration doesn\u2019t mean you can\u2019t map it. In fact, the Living Atlas of the World has long contained data about average annual evapotranspiration for the United States. Today that map is being deprecated and replaced by two global versions that show evaporative losses everywhere on Earth.\n\n<!--more-->\n<ul>\n\t<li><a href=\"http:\/\/www.arcgis.com\/home\/item.html?id=31f7c3727abf42249a43fe8f25470af4\">Actual Evapotranspiration<\/a><\/li>\n\t<li><a href=\"http:\/\/www.arcgis.com\/home\/item.html?id=718429fe190648ad89729b45e37e0aa2\">Potential Evapotranspiration<\/a><\/li>\n<\/ul>\n\n<div>\n\nEvapotranpsiration is the measure of evaporative losses from the landscape. It includes both direct evaporation from lakes and soil, and transpiration, which is when plants take water up through their roots and release it from their leaves. Over 61% of rainfall is lost to evapotranspiration, so mapping its variance is an important part of understanding the global water cycle.\n\n[caption id=\"\" align=\"alignnone\" width=\"800\"]<img src=\"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2018\/03\/et_pet.png\" alt=\"Actual ET vs Potential ET\" width=\"800\" height=\"270\" \/> Actual ET vs Potential ET in Africa[\/caption]\n\nPotential evapotranspiration is the amount of evapotranspiration that would occur if water availability were unlimited. It is a meteorological variable that depends only on air temperature and solar radiation. So, for example, Scotland and Norway have a lower rate of evapotranspiration than the Congo, despite receiving just as much rain, because potential evapotranspiration is lower. There is not enough solar energy to vaporize all the water. Conversely, the Sahara Desert has a very high potential evapotranspiration, but receives little rain, so actual evapotranspiration is low and the unused solar energy heats the sand to over 170 degrees Fahrenheit. In the Congo River Basin, there is high potential evapotranspiration and ample precipitation, so less of the potential goes unused. The result is high actual evapotranspiration and a much more humid climate with abundant plant life.\n\n\nThese layers were built using the <a href=\"http:\/\/www.ntsg.umt.edu\/project\/modis\/mod16.php\">MOD16<\/a> Global Evapotranspiration Product, which is derived from satellite imagery by researchers at the <a href=\"http:\/\/www.ntsg.umt.edu\/\">University of Montana<\/a>. Imagery is from the Moderate Resolution Imaging Spectroradiometer (MODIS), an instrument with 1-km resolution first launched in 1999 and carried by two NASA satellites. The MOD16 <a href=\"http:\/\/citeseerx.ist.psu.edu\/viewdoc\/download?doi=10.1.1.472.5247&amp;rep=rep1&amp;type=pdf\">algorithm<\/a> derives from raw imagery a number of secondary data products like land surface albedo, leaf area index, and net solar radiation. These intermediate data are used to solve the <a href=\"http:\/\/edis.ifas.ufl.edu\/pdffiles\/ae\/ae45900.pdf\">Penman-Monteith equation<\/a> for total daily evapotranspiration, which is then aggregated into 8-day, monthly, and annual intervals. We calculated the average annual evapotranspiration over the 15 year period of record (2000 \u2013 2014), both in terms of actual and potential ET, in order to build the layers above. If you want to access the monthly data, a toolbox you can use is <a href=\"modis.danielsiegel.co\">available here<\/a>.\n\n[caption id=\"\" align=\"alignright\"  width=\"205\"]<img src=\"http:\/\/downloads.esri.com\/blogs\/hydro\/ET\/Fig0.jpg\" alt=\"ET with hillshade\" width=\"205\" height=\"139\" \/> ET with hillshade[\/caption]\n\n<strong>\nWhat can you do with this data?<\/strong>\n\nThese layers are image services, so they can be used as input by your geoprocessing tools in Desktop. The \"Zonal Statistics as Table\" tool is particularly useful for calculating evaporative losses over a watershed, which is the first step towards calculating the water balance. If you subtract annual evapotranspiration from the annual rainfall you have a good estimate of <a href=\"https:\/\/www.arcgis.com\/home\/item.html?id=0235ef1b29194366a46a1ffbdd703923\">available water<\/a>, the sustainable supply of a watershed that must be split between human use, freshwater ecosystems, and groundwater recharge. For visualization purposes there is also a <a href=\"http:\/\/www.arcgis.com\/home\/item.html?id=ad3f8cc18fc74e6894ee220acd15020a\">cached version<\/a> of this map that has a hillshade burned in. When combined with the <a href=\"http:\/\/www.arcgis.com\/home\/item.html?id=9f86716d941c4410b0b406d911754b2c\">Hydro Reference Overlay<\/a> it can be used to create a particularly beautiful basemap.\n\n<\/div>","post_title":"Global Evapotranspiration Data Added to Living Atlas","post_excerpt":"","post_status":"publish","comment_status":"closed","ping_status":"closed","post_password":"","post_name":"global-evapotranspiration-data-added-to-living-atlas","to_ping":"","pinged":"","post_modified":"2018-07-19 11:10:31","post_modified_gmt":"2018-07-19 18:10:31","post_content_filtered":"","post_parent":0,"guid":"http:\/\/www.esri.com\/arcgis-blog\/products\/product\/uncategorized\/global-evapotranspiration-data-added-to-living-atlas\/","menu_order":0,"post_type":"blog","post_mime_type":"","comment_count":"0","filter":"raw"},{"ID":122391,"post_author":"4911","post_date":"2012-09-24 09:28:25","post_date_gmt":"2012-09-24 09:28:25","post_content":"","post_title":"Soil Moisture Mapping of Drought in Texas","post_excerpt":"","post_status":"publish","comment_status":"open","ping_status":"closed","post_password":"","post_name":"soil-moisture-mapping-of-drought-in-texas","to_ping":"","pinged":"","post_modified":"2012-09-24 09:28:25","post_modified_gmt":"2012-09-24 09:28:25","post_content_filtered":"","post_parent":0,"guid":"http:\/\/www.esri.com\/arcgis-blog\/products\/product\/uncategorized\/soil-moisture-mapping-of-drought-in-texas\/","menu_order":0,"post_type":"blog","post_mime_type":"","comment_count":"0","filter":"raw"}],"card_image":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2018\/05\/e.png","wide_image":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2018\/05\/d.png"},"yoast_head":"<!-- This site is optimized with the Yoast SEO Premium plugin v25.9 (Yoast SEO v25.9) - https:\/\/yoast.com\/wordpress\/plugins\/seo\/ -->\n<title>Change in Storage Maps added to the Living Atlas<\/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-living-atlas\/water\/change-in-storage-maps-added-to-the-living-atlas\" \/>\n<meta property=\"og:locale\" content=\"en_US\" \/>\n<meta property=\"og:type\" content=\"article\" \/>\n<meta property=\"og:title\" content=\"Change in Storage Maps added to the Living Atlas\" \/>\n<meta property=\"og:url\" content=\"https:\/\/www.esri.com\/arcgis-blog\/products\/arcgis-living-atlas\/water\/change-in-storage-maps-added-to-the-living-atlas\" \/>\n<meta property=\"og:site_name\" content=\"ArcGIS Blog\" \/>\n<meta property=\"article:publisher\" content=\"https:\/\/www.facebook.com\/esrigis\/\" \/>\n<meta property=\"article:modified_time\" content=\"2018-06-04T17:25:22+00:00\" \/>\n<meta name=\"twitter:card\" content=\"summary_large_image\" \/>\n<meta name=\"twitter:site\" content=\"@ESRI\" \/>\n<script type=\"application\/ld+json\" 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