Data Quality Assessment of FY-3C MWRI Microwave Imager from CMA, ECMWF and the Met Office

MWRI is a conical-scanning microwave imager following on from the heritage of similar instruments such as SSMI/S and AMSR-2, with ten channels at frequencies between 10.65 GHz and 89 GHz. MWRI is flown on the China Meteorological Administration's (CMA's) Feng-Yun-3 (FY-3) satellite series, including on FY-3C and the upcoming FY-3D, scheduled for launch in September 2017. Here we present an evaluation of the data from MWRI on the FY-3C satellite launched in 2013. At CMA, the MWRI instrumental parameters and statistics between observation and simulation from RTTOV and CRTM radiative transfer modeling were monitored to characterise instrumental uncertainty from calibration and assess the data quality. The data were also assessed using model-equivalent brightness temperatures from the ECMWF and Met Office short-range forecasts. The forecasts were first transformed into brightness temperature space using the RTTOV radiative transfer code. By analysing observed minus model background ("O-B") brightness temperature departures we were able to investigate the instrument and geophysical state dependence of biases. We show examples of how biases can impact the data quality, related to ascending/descending node differences and radio frequency interference. We discuss the prospects of assimilation of MWRI data at NWP centres.