Drought -- National Drought Mitigation Center

 

Document Type

Article

Date of this Version

1-2004

Comments

Presented at 14th Conference on Applied Climatology. Seattle, WA. January 12-16, 2004.

Abstract

Recent widespread, severe, and long-lasting droughts across North America have heightened awareness of and interest in how to better monitor drought and its impacts. Since its inception in 1999, the National Drought Mitigation Center (NDMC), United States Department of Agriculture (USDA) and NOAA’s Climate Prediction Center (CPC) and National Climatic Data Center (NCDC) have partnered to produce the weekly U.S. Drought Monitor (http://droug ht.unl.edu/m onitor/), a comprehensive drought assessment product based on a simple 5- category severity classification. On the heels of its widespread acceptance and usage, the NCDC, CPC, USDA, NDMC and scientists from Canada and Mexico have worked together to produce a monthly experimental North American Drought Monitor (http://www.ncdc.noaa.gov/oa/climate/monitoring/droug ht/nadm/index.html.
Other projects are underway. An informal interagency push toward better water resource assessment has a goal of developing a watershed-based hydrological drought map that would complement the weekly U.S. Drought Monitor map. The Western Governor’s Association and NOAA are developing a framework for a National Integrated Drought Information System. The NDMC is also involved in projects looking to improve our spatial and temporal capabilities in monitoring drought. By tapping into the Applied Climate Information System (ACIS), the NDMC has worked with UNL’s Computer Science and Engineering department and the High Plains Regional Climate Center (HPRCC) to develop a web-interface based tool, which allows the user to analyze drought indicators like the SPI, PDSI, and Newhall Soil Moisture Model.
A collaborative team of scientists from the USGS EROS Data Center, the NDMC, and the HPRCC is developing a prototype monitoring system that integrates information from climate and satellite databases using data mining techniques. The goal of this project is modeling the relationships between climate-based drought indicators and satellite-derived seasonal metrics from the NDVI (Normalized Difference Vegetation Index). This includes delivering near-real time information about drought-affected areas in the U.S. using the Internet as the primary delivery mechanism.
Clearly, the products and the cooperative efforts described above have advanced our drought monitoring capabilities and have led us to a better understanding of drought as a complex hazard while also improving our capacity to assess, predict and/or provide an early warning of drought.

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