Tuesday, June 27, 2017

This new report from the NOAA Drought Task Force highlights the crucial role NOAA research plays in advancing our ability to prepare for and react to drought. Click here to learn more...

Leadership 

Lead: Marty Hoerling, NOAA ESRL

Co-Lead: Mark Svoboda, University of Nebraska, Drought Mitigation Center

Co-Lead: Eric Wood, Princeton University

Co-Lead: Randy Koster, NASA Goddard Space Flight Center

 

Mission

This Drought Task Force is follow-up to the first group, which was established in October 2011 and ran until September 2014. The overall goals of the NOAA Drought Task Force are to achieve significant advances in understanding and in the ability to monitor and predict drought over North America. The Task Force is an initiative of NOAA’s Climate Program Office Modeling, Analysis, Predictions, and Projections (MAPP) program. The research results are expected to help advance basic understanding of drought mechanisms, official national drought products, the development of early warning systems by the National Integrated Drought Information System (NIDIS), and experimental drought monitoring and prediction activities and tools for operational and service purposes as part of the National Centers for Environmental Prediction's (NCEP) Climate Test Bed. The Task Force will coordinate with other relevant national and international efforts including the emerging National Multi-Model Ensemble (NMME) capabilities, and the international effort to develop a Global Drought Information System (GDIS).

This Drought Task Force started its activities in October 2014 and will have a duration of three years. 

 




 



 


Research Objectives

In the following we describe the issues underlying our key research objectives in more detail.

       

News & Events

MAPP Webinar Series: Drought Research: Improved Understanding, Monitoring, and Prediction of Drought

Tuesday, March 11, 2014
The NOAA CPO Modeling, Analysis, Prediction, and Projections (MAPP) program will host a webinar on the topic of Drought Research: Improved Understanding, Monitoring, and Prediction of Drought on Friday, May 30. The announcement is provided below; you are invited to remotely join the session.

MAPP Webinar Series: MAPP/CSI Webinar: Drought: Research and Information Supporting Preparedness

Thursday, November 21, 2013
The NOAA CPO Modeling, Analysis, Prediction, and Projections program hosted a webinar jointly with the Climate and Societal Interactions Division on the research and information supporting drought preparedness, Friday, November 22, 2013. The webinar will explore drought research, how that research supports activities and capabilities in the user/decision maker communities, and how drought impacts and risks feed back into research directions.

BAMS Article on the Drought Task Force

Monday, May 06, 2013
A Bulletin of the American Meteorological Society has been posted as a short piece on NOAA's Drought Task Force.

MAPP Webinar

Monday, April 22, 2013

The NOAA CPO Modeling, Analysis, Predictions, and Projections (MAPP) program hosted a webinar on October 11, 2011 titled "Advances in Drought Monitoring and Prediction".

MAPP Webinar

Tuesday, February 26, 2013

The NOAA CPO Modeling, Analysis, Predictions, and Projections (MAPP) program hosted a webinar on Tuesday, March 12 titled "Drought Prediction".

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The Modeling, Analysis, Predictions, and Projections (MAPP) Program's mission is to enhance the Nation's capability to understand and predict natural variability and changes in Earth's climate system. The MAPP Program supports development of advanced climate modeling technologies to improve simulation of climate variability, prediction of future climate variations from weeks to decades, and projection of long-term future climate conditions. To achieve its mission, the MAPP Program supports research focused on the coupling, integration, and application of Earth system models and analyses across NOAA, among partner agencies, and with the external research community.

Learn more...

Download our program brochure (pdf). 

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