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Assimilation of GPM-retrieved Ocean Surface Meteorology Data for Two Snowstorm Events during ICE-POP 2018

Authors :
Xuanli Li
Jason B Roberts
Jayanthi Srikishen
Jonathan L Case
Walter A Petersen
GyuWon Lee
Christopher R Hain
Source :
Geoscientific Model Development. 15(13)
Publication Year :
2022
Publisher :
United States: NASA Center for Aerospace Information (CASI), 2022.

Abstract

As a component of the National Aeronautics and Space Administration (NASA) Weather Focus Area and Global Precipitation Measurement (GPM) Ground Validation participation in the International Collaborative Experiments for PyeongChang 2018 Olympic and Paralympic Winter Games (ICE-POP 2018) field research and forecast demonstration programs, hourly ocean surface meteorology properties were retrieved from the GPM microwave observations for January – March 2018. In this study, the retrieved ocean surface meteorological products – 2-m temperature, 2-m specific humidity, and 10-m wind speed were assimilated into a regional numerical weather prediction (NWP) framework to explore the application of these observations for two heavy snowfall events during the ICE-POP 2018: 27-28 February, and 7-8 March 2018. The Weather Research and Forecasting (WRF) model and the community Gridpoint Statistical Interpolation (GSI) were used to conduct high resolution simulations and data assimilation experiments. The results indicate that the data assimilation has a large influence on surface thermodynamic and wind fields in the model initial condition for both events. With cycled data assimilation, significantly positive influence of the retrieved surface observation was found for the March case with improved quantitative precipitation forecast and reduced error in temperature forecast. A slightly smaller yet positive impact was also found in the forecast of the February case.

Subjects

Subjects :
Meteorology And Climatology

Details

Language :
English
ISSN :
19919603 and 1991959X
Volume :
15
Issue :
13
Database :
NASA Technical Reports
Journal :
Geoscientific Model Development
Notes :
281945.02.25.04.30
Publication Type :
Report
Accession number :
edsnas.20220011156
Document Type :
Report
Full Text :
https://doi.org/10.5194/gmd-15-5287-2022