Paper
28 October 2010 Improved Goddard profiling (GPROF) database over the Korean Peninsula and its impact on TRMM TMI rainfall
Geun-Hyeok Ryu, Byung-Ju Sohn, Christian Kummerow, Eun-Kyoung Seo, Gregory Tripoli
Author Affiliations +
Proceedings Volume 7859, Remote Sensing of the Atmosphere and Clouds III; 78590A (2010) https://doi.org/10.1117/12.869437
Event: SPIE Asia-Pacific Remote Sensing, 2010, Incheon, Korea, Republic of
Abstract
Based on the comparison of TMI measurements and the AWS rain rates, characteristics of rain systems over the Korean Peninsula during summer were examined. It was found that the TMI brightness temperatures (TBs) at high frequency (85 GHz) are generally higher than those in GPROF database for the same rain rate. With these characteristics kept in mind, cloud resolving model simulations were performed by modifying intercept values in the Marshall-Palmer size distribution relationship. The intercept values of graupel and snow were assumed to twice the default value (snow: 1.0 × 108 m-4, Graupel: 4.0 × 106 m-4). Microwave brightness temperatures at passive microwave radiometer frequencies and vertical reflectivity at precipitation radar frequency are calculated by repeated application of the one-dimensional version of Eddington's approximation1. The hydrometeor profiles were selected by comparing with TRMM PR reflectivities. By adding those selected profiles to the convective profiles of GPROF database, we modified database for the rain retrieval over the Korean Peninsula. Rainfall retrievals by using the new database show that quality is significantly improved, indicating the need of algorithm locally more suitable.
© (2010) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Geun-Hyeok Ryu, Byung-Ju Sohn, Christian Kummerow, Eun-Kyoung Seo, and Gregory Tripoli "Improved Goddard profiling (GPROF) database over the Korean Peninsula and its impact on TRMM TMI rainfall", Proc. SPIE 7859, Remote Sensing of the Atmosphere and Clouds III, 78590A (28 October 2010); https://doi.org/10.1117/12.869437
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KEYWORDS
Databases

Meteorology

Clouds

Microwave radiation

Atmospheric modeling

Data modeling

Computer simulations

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