Within this theme, the ASM seeks to support research and applications that take greater advantage of novel and traditional environmentalobservations particularly those that close observational gaps in NOAA operational network that limit WRN forecast metrics. For example, accelerating techniques for sensing the lowest 5,000 feet of the atmosphere and applying that data into operational forecast systems to help NOAA achieve recommendations from The National Academy of Sciences report, From the Ground Up (The National Academies Press, 2009). These recommendations address critical observations needed by NOAA to improve the accuracy of short term severe weather forecasts.

Focus Area 1: Process-level Understanding and Enhanced Modeling Capabilities

ASM Investigators:

Belay Demoz

Rosa Fitzgerald

Jose Fuentes

Thomas Gill

Everette Joseph

Siwei Li

Qilong Min

Vernon Morris

Ricardo Sakai

William Stockwell

Focus Area 2: Improved Quantification of Forecast Uncertainty

ASM Investigators:

Roy Armstrong

Sen Chiao

Belay Demoz

Everette Joseph

Xin-Zhong Liang

Duanjun Lu

Qilong Min

Vernon Morris

Remata Reddy

Sam Shen

Focus Area 3: Advancing the Development of High Resolution Models

ASM Investigators:

Sen Chiao

Belay Demoz

Everette Joseph

Xin-Zhong Liang

Duanjun Lu

Vernon Morris

Hari Singh

Loren White