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 of June 2021 through May 2022 include: the U.S. West, Canada, North Africa, Central Asia, and Hokkaido, Japan. Areas with a forecast of significant water surplus include: Northeast China, the Yellow River, Yangtze River, Nepal, Bangladesh, and the Yenisei River. This Watch List is based on ISciences Water Security Indicator Model v2 (WSIMv2) run on 7 September 2021.
The forecast through March 2020 indicates that water deficits in Africa will shrink and downgrade considerably, but exceptional deficits will emerge from central Somalia into Ethiopia. Surpluses in East Africa will remain widespread, particularly in Tanzania and Kenya. Other areas with a forecast of surplus include the Nile River through Egypt and nations on the north coast of the Gulf of Guinea.
The forecast through August 2019 indicates moderate water deficits across northern Africa with large pockets of exceptional deficit in Libya, Egypt, and Sudan. The southern Sahara and the Sahel will be near-normal, and deficits in the Horn will downgrade. Mild deficits will cover much of southern Africa, punctuated by surpluses in East Africa and some pockets of intense deficit from Cameroon through Republic of the Congo, in southern Angola, northern Namibia, and western Botswana.
The forecast through April indicates that water deficits will downgrade in the southern half of the continent, becoming primarily moderate across the central breadth and mild in the south. Deficits in the north will increase and intensify, with moderate to extreme deficits in the Sahara and deficits reaching exceptional intensity in parts of the Sahel and into western Ethiopia. Intense deficits will linger in Cameroon, Equatorial Guinea, and Gabon. Surpluses will persist in western Tanzania.
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.
