Submitted as: development and technical paper
20 Sep 2021
Submitted as: development and technical paper | 20 Sep 2021
Status: a revised version of this preprint is currently under review for the journal GMD.

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

Xuanli Li1, Jason B. Roberts2, Jayanthi Srikishen3, Jonathan L. Case4, Walter A. Petersen2, GyuWon Lee5, and Christopher R. Hain2 Xuanli Li et al.
  • 1University of Alabama in Huntsville, Huntsville, Alabama, USA
  • 2NASA Marshall Space Flight Center, Huntsville, Alabama, USA
  • 3Universities Space Research Association, Huntsville, Alabama, USA
  • 4ENSCO, Inc./NASA SPoRT Center, Huntsville, Alabama, USA
  • 5Kyungpook National University, Daegu, Republic of Korea

Abstract. As a component of the National Aeronautics and Space Administration (NASA) Weather Focus Area and 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 Global Precipitation Measurement (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, 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.

Xuanli Li et al.

Status: final response (author comments only)

Comment types: AC – author | RC – referee | CC – community | EC – editor | CEC – chief editor | : Report abuse
  • RC1: 'Comment on gmd-2021-161', Anonymous Referee #1, 24 Oct 2021
  • CEC1: 'Comment on gmd-2021-161', Juan Antonio Añel, 25 Oct 2021
    • AC1: 'Reply on CEC1', Xuanli Li, 25 Oct 2021
  • RC2: 'Comment on gmd-2021-161', Anonymous Referee #2, 29 Oct 2021

Xuanli Li et al.

Xuanli Li et al.


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Short summary
This research assimilated the Global Precipitation Measurement (GPM) satellite-retrieved ocean surface meteorology data into the Weather Research and Forecasting (WRF) model with the Gridpoint Statistical Interpolation (GSI) system for two snowstorms during the International Collaborative Experiments for PyeongChang 2018 Olympic and Paralympic Winter Games (ICE-POP 2018) field experiments. The result indicated positive impact of the data for short-term forecasts for both heavy snowfall events.