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PARTNERSHIPS FOR ENHANCED ENGAGEMENT IN RESEARCH (PEER)
Cycle 5 (2015 Deadline)


Regionalization of the Global Integrated Drought Monitoring and Prediction System (GIDMaPS) for Afghanistan


PI: Khadija Jawadi (javadi.environment.phd@gmail.com), Environmental Conservation Specialist Organization of Afghanistan
U.S. Partner: Amir AghaKouchak, University of California, Irvine
Project dates: January 1, 2017 - December 31, 2019

Project Overview:

In the past decades, Afghanistan has encountered several droughts that inflicted terrible damage on groundwater, and surface water resources, agricultural sectors, forests, and pastures. Extreme droughts are expected to occur more frequently in the coming decades, and this may cause major economic losses and social and environmental disasters. The overall objective of this research is developing, validating, and implementing a drought monitoring system for the Amu Darya and Kabul Basins in Afghanistan. The researchers will work to provide reliable information that can be used towards a drought mitigation, risk management, and planning strategy. Regionalization of this model for the Afghanistan basins would promote better monitoring and prediction of droughts and enhance decision making and risk reduction efforts.

This research will build upon the successful development and implementation of previous UNESCO drought monitoring systems and will enhance risk management and drought mitigation by providing consistent and continuous drought information. The system would provide drought monitoring information based on multiple indicators and data sources, including satellite observations and local ground-based information. Providing multi-model, multi-index, seasonal drought prediction information for Afghanistan is an integral part of the implementation. The use of a single index to indicate the diversity and complexity of drought conditions and impacts is one of the major limitations to drought monitoring. For this reason, the system to be developed and tested by this team will provide drought information based on multiple univariate drought indicators and one multivariate drought index.


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