Open AccessThe Extreme Precipitation Forecast Table: improving situational awareness when heavy rain is a threat
Author(s) -
Diana R. Stovern,
James A. Nelson,
Stan Czyzyk,
Mark Klein,
Katie Landry-Guyton,
Kristian Mattarochia,
Emilie Nipper,
Jon W. Zeitler
Publication year - 2020
Publication title -
journal of operational meteorology
Language(s) - English
Resource type - Journals
ISSN - 2325-6184
DOI - 10.15191/nwajom.2020.0807
Subject(s) - quantitative precipitation estimation , precipitation , national weather service , quantitative precipitation forecast , environmental science , meteorology , warning system , situation awareness , climatology , table (database) , extreme weather , situational ethics , atmospheric research , computer science , climate change , geography , database , engineering , geology , telecommunications , aerospace engineering , law , political science , oceanography
A collaborative team of Science and Operations Officers from the National Weather Service (NWS) Weather Forecast Offices (WFOs), hydrologists from the Lower Mississippi River Forecast Center (LMRFC), and management from the Weather Prediction Center (WPC) worked together to develop and transition a tool into NWS operations called the Extreme Precipitation Forecast Table (EPFT). The EPFT was designed to help NWSforecasters improve their situational awareness (SA) when heavy rainfall threatens their county warning area. The EPFT compares Quantitative Precipitation Forecasts (QPF) to Average Recurrence Intervals (ARIs) from the NOAA Atlas-14 to alert forecasters to the potential for climatologically significant and extreme rainfall. A counterpart to the EPFT, called the Extreme Precipitation Assessment Table (EPAT), compares observedprecipitation (i.e., Quantitative Precipitation Estimates [QPE]) to inform forecasters as to the climatological significance of impactful rain events. This paper presents cases demonstrating the usefulness of the EPFT and EPAT in helping forecasters improve their SA in real-time operational settings when heavy rain was a threat.