“Validating Global Precipitation Measurement against ground observations over Alaska”

Authors: Tatiana Lopez*, , JingJing Li, Assistant Professor at California State University, Los Angeles, Hengchun Ye, Associate Dean of College of Natural and Social Sciences at California State University, Los Angeles
Topics: Remote Sensing
Keywords: remote sensing, precipitation, climate
Session Type: Poster
Day: 4/4/2019
Start / End Time: 8:00 AM / 9:40 AM
Room: Lincoln 2, Marriott, Exhibition Level
Presentation File: No File Uploaded

Global Measurement Precipitation (GPM) was launched in February 28, 2014 by the National Aeronautics and Space Administration (NASA) and the Japan Aerospace Exploration Agency (JAXA). This mission is a continuation of the Tropical Rainfall Measuring Mission(TRMM). Through GPM’s Integrated Multi-Satellite Retrievals (IMERG), the precipitation data is expected to be more accurate than TRMM measurements. However, it is still necessary to assess how accurate IMERG estimates are compared to rain gauge data (land-based weather stations), especially over high-latitude area. There haven’t been many literatures validating whether IMERG is running efficiently on capturing snow in the arctic regions. In this study, we conduct roughly a four-year estimate of daily precipitation events obtained from IMERG by comparing to land based station data around Fairbank’s International Airport at Alaska. Using Probability of Detection (POD), IMERG correctly detected 69% of the observed rain events. Overall, IMERG is a reliable source for the study region.

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