Abstract - MIRS摘要：大鹏.ppt

Abstract Monitor IPWG validation of microwave precipitation products Use MM5 output to derive relationship between rain rate and atmospheric water Pre-classification for MIRS retrieval Monitor IPWG MW validation(1) Validation of 6 MW products against both radar and gauge over CONUS Validation of 2 MW products against gauge only over southern America Monitor 5 parameters (POD, FAR, RMSE, MAE, COR), daily updated on MIRS website Monitor IPWG MW validation(2) Monitor IPWG MW validation(3) Monitor IPWG MW validation(4) Rain rate/Atmos. Water from MM5(1) Rain rate/Atmos. Water from MM5(2) Rain rate/Atmos. Water from MM5(3) Rain rate/Atmos. Water from MM5(3) Pre-classification for MIRS Retrieval * Rain water near surface is more correlated with rain rate than column integrated rain water. Correlation with IWP: 0.582, with CWP: 0.610 RR=0.274-0.302IWP+2.202CWP+5.329RWP RR=1.038+0.235IWP-0.100CWP+21.133RWC_sfc 45X45km FOV size RR=1.642-2.720IWP-5.622CWP+34.093RWC_sfc R=a*RWC_sfc*(1-exp(-b*(RWC_sfc)^(1/3))) a=22.57, b=5.6E10, ----- R=22.57*RWC_sfc Use model output to calculate co-variance matrix for dry, non-convective, convective classes Use microwave BT and its texture variability to identify dry, non-convective, convective classes in MIRS retrieval *