Impact of HY-2B SMR Radiance Assimilation on CMA Global Medium Range Weather Forecasts

Abstract

The Chinese second ocean dynamic environment satellite Haiyang-2B (HY-2B), was successfully launched on 25 October 2018, carrying a Scanning Microwave Radiometer (SMR) to provide the information of ocean and atmosphere. For the first time, this study investigated the impact of radiance data from the HY-2B SMR in the Four Dimensional Variational (4DVar) Data Assimilation system of the Global Forecast System developed by the China Meteorology Administration (CMA-GFS). Prior to the radiance assimilation, we evaluated the data quality and developed suitable quality control (QC) procedures for the HY-2B SMR observations. In addition, the cloud liquid water path (CLWP) and ocean wind speed (OWS) were introduced as new bias correction (BC) predictors to remove the systematic bias originating from the forward operator in the CMA-GFS 4DVar system. The assimilation effects of SMR observations were evaluated through one-month cycling experiments. Verification with independent observations and reanalysis data has demonstrated that assimilating SMR clear-sky radiance can greatly reduce the analysis errors for temperature and humidity, while indirectly improve the quality of wind analysis. Furthermore, significant improvements in geopotential height forecasts were found for days 1-5 in the lower troposphere of the tropical region.