Exceptional surpluses will persist in northern regions of Mainland Southeast Asia. Most areas of Maritime Southeast Asia will observe near-normal conditions.
Severe to exceptional surpluses are expected to persist in several regions of India and emerge in Bangladesh. Some South Asian countries will observe isolated pockets of deficit.
Exceptional deficit anomalies will continue in southern regions of the Middle East, as well as in coastal regions of Turkey. Isolated pockets of exceptional deficit will also persist in Iran. Southwestern coastal areas of the Middle East will continue to observe moderate to severe surplus.
Exceptional deficits will remain in areas near Lake Baikal and in much of western Russia. Northern and southeastern Kazakhstan will observe continuing surpluses of varying intensity, as will some Russian areas near the Lena River.
Regions forecast to have significant water deficits for the 12-month period March 2022 through February 2023 include: Chile, California, Quebec, France, and Estonia. Areas of significant water surplus include: North Dakota, eastern Australia, Java, China, European Russia, and Tanzania. This Watch List is based on ISciences Water Security Indicator Model v2 (WSIMv2) 6 June 2022.
Regions forecast to have significant water deficits for the 12-month period February 2022 through January 2023 include: Estonia, France, North Africa, Iran, Mangystau (Kazakhstan), Chile, and Texas and the U.S. West. Areas of significant water surplus include: eastern Australia, Indonesia, China, India, and Tanzania. This Watch List is based on ISciences Water Security Indicator Model v2 (WSIMv2) 5 May 2022.
Regions forecast to have significant water deficits for the 12-month period January through December 2022 include: Iraq, Iran, Central Asia, northwest Africa, Chile, and Texas and the U.S. West. Areas of significant water surplus include: eastern Australia, China, India, and Indonesia. This Watch List is based on ISciences Water Security Indicator Model v2 (WSIMv2) 5 April 2022.
Regions forecast to have significant water deficits for the 12-month period December 2021 through November 2022 include: Portugal, Spain, northwest Africa, Chile, and Texas (U.S). Areas of significant water surplus include: eastern Australia, China, India, and Indonesia. This Watch List is based on ISciences Water Security Indicator Model v2 (WSIMv2) 4 March 2022.
Regions forecast to have significant water deficits for the 12-month period November 2021 through October 2022 include: Chile, Texas (U.S), North Africa, Portugal, and Spain. Areas of significant water surplus include: China, India, Southeast Asia, and eastern Australia. This Watch List is based on ISciences Water Security Indicator Model v2 (WSIMv2) 7 February 2022.
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.
