[ACG36-P20] Estimation of observation model parameters using ground data for the Gauge-adjusted Global Satellite Mapping of Precipitation (GSMaP_Gauge)
Keywords:Precipitation, Satellite Observation, Microwave Radiometer
The GSMaP Gauge models are two equation. One is observation equation. The observation equation indicate to linear relation with noise between observation data and true precipitation linear relation. Other indicates time change of precipitation. The study show that the estimation method for observation model parameters from ground observation and GSMaP MVK. In Japan region, the estimated parameter reduce root mean square error and rain amount ratio of GSMaP Gauge precipitation from 1.1 to 0.80 and from 1.55 to 1.37, respectively. Also, correlation coefficient is up from 0.47 to 0.54. Therefore the estimation of the parameters for the observation equation of the GSMaP Gauge algorithm lead to better precipitation estimation.