Severe to exceptional surplus will affect several regions of southern Mexico and Central America. Severe to exceptional deficits will continue in northwestern and central areas of Mexico.
Widespread severe to exceptional surpluses in western and central Europe will mostly resolve, becoming near-normal conditions. Eastern European countries are expected to observe widespread deficits of varying intensity.
Moderate to severe surpluses will remain in northern areas of Australia.
Exceptional deficits will continue in Amazonas and the Bolivarian Nations, but will diminish in size.
The forecast through March 2020 indicates that water surpluses of varying intensity will continue to dominate the breadth of India with intense anomalies in central Rajasthan, Madhya Pradesh, western Maharashtra, south-central Karnataka, central Chhattisgarh, and the Far East. Surpluses are also forecast for Bangladesh, Nepal, Bhutan, Sri Lanka, rivers in Pakistan, and central Afghanistan.
The forecast through April indicates that, while exceptional water deficits in Gujarat and in the south will downgrade, widespread deficits of varying intensity are forecast in western and southern India. Surpluses will re-emerge in Uttar Pradesh in the western Gangetic Plain. Other regions with surpluses include Mizoram (India), Bangladesh, Nepal, rivers in northern Pakistan, and around Kabul, Afghanistan.
The forecast through March indicates intense water deficits in western and southern India with exceptional deficits in Gujarat and Karnataka. Surpluses are forecast for Uttar Pradesh into western Nepal, and in Himachal Pradesh, Punjab, and Jammu and Kashmir. Exceptional deficits are forecast in southeastern Pakistan, moderate deficits in the southwest, and surpluses in the northeast. Surpluses are expected in Bangladesh and will be exceptional in Chittagong Division reaching into Mizoram, India.
Regions forecast to have significant water deficits for the 12-month period from October 2018 through September 2019 include: Quebec (Canada), Finland, Venezuela, Somalia, South Africa, India, Thailand, Cambodia, and Australia. Areas with a forecast of significant water surplus include: Texas (US), Paraguay, Uruguay, Tanzania, and China. This Watch List is based on ISciences Water Security Indicator Model (WSIM) run on 1 February 2019.
The widespread exceptional water deficits that have dominated Afghanistan in recent months will moderate through December though deficits will remain more intense northeast of Kabul. Moderate deficits are forecast for southern Pakistan. In India, deficits will also moderate but will be intense along the Tungabhadra River in the southwest, and in Madhya Pradesh, Bihar, and Arunachal Pradesh. Areas of surplus include northernmost India, Uttar Pradesh, Nepal, Bangladesh, and Sri Lanka.
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.
