Latest Perspective on Extreme Storm Precipitation Analysis

Historically, a systematic means of providing accurate, detailed analyses of precipitation associated with a recent extreme storm event has been difficult to achieve given lack of reliable data, particularly in near real-time. Enhanced radar data, improved satellite data, consolidated rain gauge observations, and innovative method for integrating these sources are making detailed storm analyses faster and more accurate than in the past. We help, manage, and maintain the largest known consolidated and quality-controlled precipitation gauge dataset in the United States, which is vital in “ground truthing” precipitation associated with extreme storms. Dual-polarization radar-estimated precipitation has shown to quantify extreme rainfall more accurately than traditional radar and has provided a significant increase in extreme event analysis accuracy. Meanwhile, satellite-estimated precipitation data continues to improve and provide “gap filling” in areas lacking gauge and/or reliable radar data. Using these datasets and a series of innovative algorithms makes near real-time near real-time, systematic storm analyses possible. Storm analyses of this nature support media inquiries, hydrologic modeling calibration and validation, flood responses, forensic cases, insurance claims, emergency management, situational awareness, and help build a storm database for use in future engineering design applications. This presentation will provide an overview of our efforts to advance the state-of-science associated with extreme precipitation event analysis.