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Developing Seasonal Predictive Capability for Drought Mitigation Decision Support System
Investigators: Ximing Cai (PI,1); Jae Ryu (3), Xin-Zhong Liang (2), Praveen Kumar(1), Mark Svoboda (3), Cody Knutson (3),
Meghan Sittler (3), Donald A. Wilhite (3), James Angel (2), and Michael Palecki (2)
1- Dept. of Civil and Environmental Engineering,
2- Illinois State Water Survey, Univ. of Illinois, Urbana-Champaign;
3- National Drought Mitigation Center, Univ. of Nebraska-Lincoln
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Abstract
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The goal of this project is to develop seasonal predictive capacity for the
Drought Monitor-Decision Support System (DM-DSS),
using Earth science models and satellite products.
The DM-DSS was produced jointly by several national institutes,
led by the National Drought Mitigation Center
( NDMC )
at the University of Nebraska-Lincoln.
The Monitor presents a single, easy-to-read color map that summarizes current information
from numerous drought indices and indicators. The enhanced DM-DSS with a predictive capacity
will allow society's response to a drought from a traditional "crisis management" scenario,
which emphasizes emergency response, to a "risk management" approach, which places greater
emphasis on preparedness planning and mitigation actions.
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NASA Products
MODIS, GRACE,
Models - Climate extension of Weather Research and Forecast (CWRF),
Global Modeling and Assimilation Office (GMAO) coupled GCM,
Project Partners
National Drought Mitigation Center, Univ. of Nebraska-Lincoln
Decision Support Tools
An integrated system solution (ISS) is designed to incorporate the NASA
earth science model, Global Modeling and Assimilation Office (GMAO) coupled GCM,
climate and hydrologic prediction models, and decision analysis modules into the DM-DSS.
The multidisciplinary research team of PI's includes the primary developers
of the DM-DSS and the prediction and decision analysis models, with collaboration
from NASA researchers. A shared-vision approach will be adopted to involve national
and local end user's organizations for benchmarking the enhanced DM-DSS.
This project will first contribute to "Water Management" by extending Earth science
research results for optimal irrigation scheduling during drought periods.
It will also contribute to other national priorities such as "Agricultural Efficiency"
and "Disaster Management". The outcomes of this project will directly contribute to
the United States Group on Earth Observations ( USGEO )
activity on drought by developing prototype tools for drought management
under the framework of the National Integrated Drought Information System
( NIDIS ).
Reports
