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Abstract

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

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Abstract

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  1. 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

  2. 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

  3. Monitor IPWG MW validation(2)

  4. Monitor IPWG MW validation(3)

  5. Monitor IPWG MW validation(4)

  6. Rain rate/Atmos. Water from MM5(1) • Rain water near surface is more correlated with rain rate than column integrated rain water. Correlation with IWP: 0.582, with CWP: 0.610

  7. Rain rate/Atmos. Water from MM5(2) • RR=0.274-0.302IWP+2.202CWP+5.329RWP • RR=1.038+0.235IWP-0.100CWP+21.133RWC_sfc

  8. Rain rate/Atmos. Water from MM5(3) • 45X45km FOV size • RR=1.642-2.720IWP-5.622CWP+34.093RWC_sfc

  9. Rain rate/Atmos. Water from MM5(3) • R=a*RWC_sfc*(1-exp(-b*(RWC_sfc)^(1/3))) • a=22.57, b=5.6E10, ----- R=22.57*RWC_sfc

  10. Pre-classification for MIRS Retrieval • 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

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