Widespread extreme to exceptional surpluses will dissipate in northern regions of Australia, as will exceptional deficits in several regions of the continent. Severe to extreme surpluses will persist in isolated regions of Western Australia and Northern Territory.
Exceptional deficits will remain widespread in several areas of the Canadian Shield and Atlantic regions. Exceptional surplus is anticipated in much of the Arctic Region.
Widespread deficits of varying intensity will occur in the southwest, northern, and northeastern states. Severe to extreme surpluses will remain in Florida, as well as in most noncontiguous states.
extreme to exceptional surpluses will persist in north-central and south-central regions of India. Exceptional surpluses are expected to emerge in eastern regions of the country, and in some areas of Nepal and Bangladesh. Extreme to exceptional deficits will expand in Afghanistan and Pakistan.
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.
Through September, water surpluses along the Mississippi River, its tributaries, and states on the western bank of the river will moderate, but significant surpluses are forecast in a column from South Dakota through central and eastern Texas and will include extreme to exceptional anomalies in many areas, particularly South Dakota. Areas of deficit include the Pacific Northwest, northwestern Minnesota, the western Upper Peninsula of Michigan, and along the Atlantic coast in North Carolina.
The forecast through August 2019 indicates persistent water surpluses in a wide path through the center of the country in the Mississippi River Basin and well into the Missouri, Arkansas, and Red River Basins, including exceptional anomalies in South Dakota. Surpluses of varying intensity are expected in the Rockies, central Arizona, California, Oregon, and in the Northeast. Deficits are forecast for pockets of Washington, North Dakota, Wisconsin, and southeastern states.
The forecast through July indicates widespread water surpluses of varying intensity a vast area on either side of the Mississippi River. Exceptional anomalies are forecast around Sioux Falls, and along the Mississippi River on either side of Memphis and from Louisiana to the Gulf. Surpluses will increase in the Rockies and shrink slightly and moderate in California. In the Pacific Northwest, deficits will shrink in Washington; Oregon will transition from deficit to moderate surplus.
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.
