The ISciences Global Water Monitor and Forecast Watch List provides monthly reports of data collected by our Water Security Indicator Model (WSIM), which monitors and forecasts water anomalies on a global basis.
The forecast for April 2024 expects significant water deficits for the 12-month period of January 2024 through December 2024 in South America, northeastern Africa, and the Middle East. Areas expected to experience surplus include eastern to eastern Africa, northern Australia, Europe, and Southeast Asia.
The forecast indicates that exceptional deficits will persist in northwestern regions of China, but lessen in size in northern and northeastern China. Surpluses occurring in Tibet are also expected to remain but diminish in size.
The forecast indicates that deficits will persist throughout Mainland Southeast Asia, but decrease in intensity, becoming mostly moderate to severe anomalies. Intense surplus is expected to expand throughout Maritime Southeast Asia, particularly in central Indonesia, Papua, and Papua New Guinea.
ISciences announced today the start of the Data ANalytics and Tools for Ecosecurity (DANTE) project. A joint effort of ISciences, the Center for International Earth Science Information Network (CIESIN) and North Carolina-based CASE Consultants International, DANTE aims to provide scientists, defense and security analysts, relief agencies, businesses and communities with enhanced insights into the connections between environmental stresses and security outcomes.
For more information contact info@isciences.com.
Copyright 2022 ISCIENCES, L.L.C. Global Water Monitor & Forecast Watch List is the property of ISCIENCES, L.L.C. It is protected by U.S. copyright laws and may not be reproduced in any way without the written permission of ISCIENCES, L.L.C. The user assumes the entire risk related to its use of information on ISCIENCES, L.L.C. Web pages, including information derived from Water Security Indicators Model (WSIM). This information may include forecasts, projections and other predictive statements that represent ISCIENCES, L.L.C.’s assumptions and expectations in light of currently available information and using the highest professional standards. Actual results may differ from those projected. Consequently, no guarantee is presented or implied as to the accuracy of specific forecasts, projections or predictive statements contained herein. ISCIENCES, L.L.C. provides such information "as is," and disclaims any and all warranties, whether express or implied, including (without limitation) any implied warranties of merchantability or fitness for a particular purpose. In no event will ISCIENCES, L.L.C. be liable to you or to any third party for any direct, indirect, incidental, consequential, special or exemplary damages or lost profit resulting from any use or misuse of this data.
