Exceptional deficits will remain in northwestern and southern regions of China, while isolated surplus anomalies will continue in western and northeastern areas of the country.
Exceptional deficits will continue in southeastern, northwestern, and western Russia, while northeastern and southeastern Russia will observe severe to extreme surpluses. Regions of Kazakhstan can expect moderate to extreme surpluses in northern and southeastern regions of the country.
Pockets of exceptional deficit will occur in southern regions of Saudi Arabia, Yemen, and Oman, as well as in isolated areas of Iran and Turkey. Small regions of southwestern Saudi Arabia and western Yemen will experience severe to extreme surplus.
Northwestern Mexico will continue to experience exceptional deficits, while central and southern areas of the country will observe severe to exceptional surpluses. Much of Central America can anticipate moderate to severe surplus.
Water deficits are forecast to diminish in severity November through January in Northeast China, the Korean Peninsula, and the Shandong Peninsula, but will continue to emerge on Liaodong Peninsula, Guizhou, northeast Guangxi, and eastern Yunnan. Exceptional surpluses will persist in Shanghai, Jiangsu, Anhui, and Fujian, but from February through April conditions in Fujian will transition to near-normal. Moderate deficits will emerge in many parts of North Korea.
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.
