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.
The forecast through November indicates that water deficits will shrink and downgrade considerably, particularly in the south, where merely mild deficits are expected. Moderate to exceptional deficits are forecast across the north and along the southwest bank of the Red Sea. Surpluses will persist in pockets of the western Sahel, emerge in pockets around the Gulf of Guinea, and increase in East Africa around Tanzania.
The forecast through January indicates that exceptional deficits in Africa will shrink considerably, but moderate to severe deficits are forecast across much of the north. Areas of intense deficit include southeastern Algeria; the Nile River, the White Nile and parts of the Blue Nile; northwestern and southeastern Nigeria; western Ethiopia; and northern Democratic Republic of the Congo into Central African Republic. Areas of surpluses include south-central Chad and Liberia.
Regions forecast to have significant water deficits for the 12-month period from August 2018 through July 2019 include: Quebec (Canada), Amazonas (Brazil), Chile, Germany, Finland, Latvia, Egypt, western Cambodia, and southeastern Australia. Areas with a forecast of significant water surplus include: Texas (US), Liberia, Paraguay, Myanmar, and Heilongjiang (China). This Watch List is based on ISciences Water Security Indicator Model (WSIM) run on 12 November 2018.
The forecast through December indicates that intense deficits will shrink considerably across northern Africa but emerge across the southern Sahara and into the Sahel. Intense deficits are forecast for the Nile River and western Ethiopia. Mild deficits are forecast for much of Africa’s southern half. Areas of surplus include southern Mali, Sierra Leone, Liberia, Burkina Faso, Ghana, coastal and northeastern Nigeria, south-central Chad, Republic of the Congo, Tanzania, and southern Kenya.
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.
