History and Development of the USAF Agriculture Meteorology Modeling System and resulting USAF-NASA Strategic Partnership

John Eylander,Sujay Kumar,Christa Peters-Lidard,Ted Lewiston, Christopher Franks,Jerry Wegiel

Weather and Forecasting(2022)

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摘要
The USAF Weather (AFW) supports a number of military and US Government agencies by providing authoritative weather analysis and forecast products for any location globally, including soil moisture analyses. The long history of supporting soil moisture products and partnering with other U.S. government agencies led to the partnering between the United States Air Force (USAF) and NASA Goddard Space Flight Center, resulting in a merger of those organizations modeling systems, collaborative development of the Land Information System (LIS), and operational fielding of the system within the USAF 557th Weather Wing (557WW; formerly, Headquarters Air Force Weather Agency or HQ AFWA). In 2009, the USAF implemented the NASA LIS and later made it the primary software system to generate global soil hydrology and energy budget products. The implementation of LIS delivered a significant upgrade over the existing Land Data Assimilation System (LDAS) the USAF operated, the Agriculture Meteorology (AGRMET) system. Implementation enabled the rapid integration of new LDAS technology into USAF operations, and led to a long-term NASA-USAF partnership resulting in continued development, integration, and implementation of new LIS capabilities. This paper documents both the history of the USAF Weather organization capabilities enabling the generation of soil moisture and other land surface analysis products, and describes the USAF-NASA partnership leading to the development of the merged LIS-AGRMET system. The article also presents a successful example of a mutually beneficial partnership that has enabled cutting-edge land analysis capabilities at the USAF, while transitioning NASA software and satellite data into USAF operations.
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关键词
Land surface,Surface fluxes,Hydrometeorology,Soil moisture,Soil temperature,Data assimilation
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