Assimilation of data from the MWHS‐II onboard the first early morning satellite FY‐3E into the CMA global 4D‐Var system

Abstract

Radiance data from satellite microwave radiometers are becoming increasingly important in the assimilation of numerical prediction systems. FengYun-3E (FY-3E), which was launched in July 2021, as the first early morning orbital satellite among FY-3 polar-orbiting meteorological satellite series, can greatly enhance the atmospheric sounding capacity in three orbits compared with the two-orbit system that is distributed in morning or afternoon orbit. Focusing on MicroWave Humidity Sounder-2 (MWHS-II) onboard it, the schemes for thinning, quality control, bias correction and observational error calculation are developed. The scan-position-dependent biases are assessed in each channel and increasing biases near the edges of scanline are found in several temperature-sounding channels. The data quality is compared with four analogous instruments used in Global/Regional Assimilation and Prediction System-Global Forecast System (CMA_GFS), and the performance improvements are confirmed relative to the previous FY-3C/D MWHS-II. Three batch experiments were implemented in CMA_GFS with four-dimensional variational (4D-Var) system-assimilating only the humidity-sounding channels, the temperature-sounding channels and the combined channels-to reveal the impact of assimilation by different channel groupings. Analysis results conclude that FY-3E MWHS-II radiances are beneficial to the humidity and temperature analysis fields. These results emphasize the advantage of simultaneously assimilating the humidity/temperature-sounding channels, in which the former dominates the improvement above 700 hPa while the latter have a positive impact below 700 hPa. The forecast results also show that assimilating both the 183-and 118-GHz channels further improves the forecast skills, especially short-to medium-term forecasts in both hemispheres. FY-3E MWHS-II also improves the short-term prediction of heavy rain, which is always weakly predicted in global forecast systems. This study shows that a three polar orbits system that FY-3E began can produce marked effects in the numerical

Impact of HY‐2B SMR radiance assimilation on CMA global medium‐range weather forecasts

“…EXP_BC1 uses the atmosphere thickness values (1000-300 and 200-50 hPa) as BC predictors for the SMR data assimilation. This approach aligns with the default settings in the CMA-GFS 4DVar system's BC procedures Xiao et al (2023); Li et al (2022). Moreover, two new BC predictors, namely CLWP and OWS, were introduced into the CMA-GFS 4DVar system to be used instead of the thickness predictors.…”

First PWV Retrieval Using MERSI‐LL Onboard FY‐3E and Cross Validation With Co‐Platform Occultation and Ground GNSS

“…Niu and Zou (2022) studied the enhanced capability of Microwave Temperature Sounder-III (MWTS-III) to observe the first typhoon in 2022 in conjunction with the mid-morningorbit MetOp-B and the afternoon-orbit NOAA-20 satellites. Xiao et al (2023) assimilated MicroWave Humidity Sounder-II (MWHS-II) data into the global forecast system, showing that MWHS-II radiances improve humidity and temperature analysis. C. and P. evaluated the radiometric calibration accuracy of the Hyperspectral Infrared Atmospheric Sounder-II (HIRAS-II) and found that the Mean Bias of the long-wave and medium-wave infrared bands is within 2 K. Preliminary on-orbit test results of the Medium-Energy Electron Detector, an instrument of Space Environment Monitor-II (SEM-II) on the FY-3E, were made by Ye et al (2023).…”