The forecast through February 2026 expects deficits in Central and Eastern Europe, Central Asia, and the Levant. Surpluses are expected in the western Amazon, the Sahel and southern Africa, and northeastern Australia.
Severe to exceptional surpluses will remain throughout Queensland. Exceptional deficits will occur in portions of Victoria, Western Australia, Tasmania, and New Zealand.
Exceptional deficits will occur in northwestern and southeastern China, widespread throughout the Yangtze River Basin. Isolated pockets of surplus will affect portions of central and northeastern China.
Exceptional surpluses throughout Maritime Southeast Asia will mostly diminish, though pockets of severe to exceptional deficits will persist in portions of the Philippines, Indonesia, Papua, West Papua, and New Guinea.
Regions forecast to have significant water deficits for the 12-month period November 2022 through October 2023 include: Canada, Chile, Argentina, Uruguay, the Middle East, and China. Areas of significant water surplus include: Pakistan, Thailand, the Philippines, central Africa, and southeastern Australia. This Watch List is based on ISciences Water Security Indicator Model v2 (WSIMv2) 6 February 2023.
The 12-month forecast ending in September 2023 indicates exceptional anomalies throughout East Asia, ranging from intense deficits in central and southeastern regions, to intense surpluses spanning from southwest to northeastern territories.
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.
