602 Impact of GPM GMI Rain-Rate Data Assimilation for Convective Storms

Tuesday, 9 January 2018
Exhibit Hall 3 (ACC) (Austin, Texas)
Xuanli Li, Univ. of Alabama, Huntsville, AL; and J. Srikishen, B. T. Zavodsky, and J. R. Mecikalski

The Global Precipitation Measurement (GPM) is a multi-satellite constellation that provides real time or near real time global observations of rain and snow since being launched on February 2014. With the dual-frequency precipitation radar and the 13-channel Microwave Imager (GMI), GPM provides global precipitation observations from tropics to high latitudes.

This research project has the goal to investigate the assimilation of the GMI Level-2 retrieved hourly rain-rate product, and to specifically assess its impact on precipitation forecast of severe convective weather. With collaboration with the NASA Short-term Prediction Research and Transition (SPoRT) Center, this research explores regional assimilation of the GMI rain-rate with case studies of convective storms.

The study methodology involves using the community NOAA Gridpoint Statistical Interpolation (GSI) v3.5 as developed by the Development Testbed Center (DTC). The GSI system was modified to ingest GMI Level 2 rain-rate observations, and was used to conduct the data assimilation experiments. Case studies for convective storms on May 15 2014, June 9 2016, and July 12 2016 have been conducted using the regional Weather Research and Forecasting (WRF) model to investigate assimilation of GPM GMI rain observation. The GPM GMI data was assimilated into high-resolution (≤1 km resolution) WRF initial condition, followed by 24-h forecast. Then, continuous assimilation experiments for July 2016 were conducted by ingesting GMI rain observation every 12-h to assess the GMI rainrate data assimilation performance. ,. Our presentation will first focus on describing the data assimilation process using the GSI and WRF modeling systems. Next, control WRF model forecasts will be compared with the WRF model assimilation experiments to analyze the impact of the GMI rainfall rate data on the convective weather forecasts. Preliminary verification of the impact of GMI data and its influence on precipitation forecast will also be presented.

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