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http://dx.doi.org/10.7780/kjrs.2002.18.6.319

Rainfall Estimation Using TRMM-PR/VIRS and GMS Data  

김영섭 (부경대 위성정보과학과)
박경원 (부경대 위성정보과학연구소)
Publication Information
Korean Journal of Remote Sensing / v.18, no.6, 2002 , pp. 319-326 More about this Journal
Abstract
Rainfall estimation was conducted based on TRMM-PR/VIES and GMS data. AWS rainfall data were used for various validation. General procedure is as follows; 1) Z-R relationship was made by the comparison of TRMM-PR and AWS data. 2) new algorithm was developed by the estimates from Z-R equation and TBB of VIRS. 3) rainfall was estimated through the substitution of GMS data for TBB of VIRS in the newly developed algorithm. Z-R relationship based on TRMM is $Z=303R^{0.72}$ with correlation coefficient 0.57. The newly developed algorithm is shown as correlation coefficient 0.67 and RMSE 17mm/hr. New algorithm shows the underestimating tendency in case of heavy rainfall event.
Keywords
Rainfall Estimation; TRMM; PR; VIRS; AWS;
Citations & Related Records
Times Cited By KSCI : 2  (Citation Analysis)
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