Mexico & C. Amer. & Carib
ISciences staff
Mexico, Central America, & the Caribbean: ...

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. 

Mexico, Central America, & the Caribbean: Surplus emerges throughout S Mexico, Central America
Europe
ISciences staff
Europe: Deficits to occur in E Europe

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. 

Europe: Deficits to occur in E Europe
Australia & New Zealand
ISciences staff
Australia & New Zealand: Surplus continues ...

Moderate to severe surpluses will remain in northern areas of Australia.  

Australia & New Zealand: Surplus continues in N Australia
South America
ISciences staff
South America: Deficits persist in Amazonas, ...

Exceptional deficits will continue in Amazonas and the Bolivarian Nations, but will diminish in size.  

South America: Deficits persist in Amazonas, Bolivarian Nations
Canada
ISciences staff
Canada: Deficits persist in Prairie Provinces, ...

Exceptional deficits will remain in several areas of the Prairie Provinces, as well as in regions of central and eastern Canada. Severe to exceptional surpluses will continue in various regions of Nunavut. 

Canada: Deficits persist in Prairie Provinces, C and E Canada

Dinder River

Africa: Water deficits forecast across the Northwest, coastal West Africa, & southern Africa; surpluses in East Africa & the Sahel

Water deficits are forecast in Northwest Africa, coastal West Africa and southern Africa, with particular persistence in coastal West Africa. Exceptional surpluses are expected in East Africa, especially in Uganda, Kenya and Tanzania. Surpluses are forecast to emerge in Ethiopia, Sudan, the Sahel, and northeastern Mozambique.

Many analyses reported in ISciences-authored blog posts are based on data generated by the ISciences Water Security Indicator Model (WSIM). Other sources, if used, are referenced in footnotes accompanying individual posts. WSIM is a validated capability that produces monthly reports on current and forecast global freshwater surpluses and deficits with lead times of 1-9 months at 0.25°x0.25° resolution. This capability has been in continuous operation since April 2011 and has proven to provide reliable forecasts of emerging water security concerns in that time-frame. WSIM has the ability to assess the impacts of water anomalies on people, agriculture, and electricity generation. Detailed data, customized visualizations, and reports are available for purchase.

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.