Performance of TRMM satellite data over the rain-gauge observations in Bangladesh

Shah Alamgir; Monique Bernier; Marie-Josee Racine

doi:10.1117/12.565815

26 October 2004 Performance of TRMM satellite data over the rain-gauge observations in Bangladesh

Shah Alamgir, Monique Bernier, Marie-Josee Racine

Proceedings Volume 5568, Remote Sensing for Agriculture, Ecosystems, and Hydrology VI; (2004) https://doi.org/10.1117/12.565815
Event: Remote Sensing, 2004, Maspalomas, Canary Islands, Spain

Abstract

Many rainfall estimation techniques and algorithms are developed for a particular region and for very different time-space scales. Instantaneous rain rates may vary from fractions of mm to over 100mm per hr. and the rainfall intensity with duration varies from region to region. We need to understand the errors structure for a variety of instruments and algorithms that are in use today or will be in use tomorrow over different regions. Bangladesh is the country that suffers from flooding in most of the year because of highly intensive rainfall within and outside of the country. The performance of satellite rainfall is an important issue for hydro-meteorological application in Bangladesh. In this study, the first space-borne Precipitation Radar (PR) launched by Tropical Rainfall Measuring Mission (TRMM) satellite data is used, which produces rain/no rain flag, vertical rain rate profile, near surface rain etc. However, only those gauge stations are considered in this study that falls inside the instantaneous field of view of particular TRMM observations. The preliminary result shows that Bangladesh is distinct from the other region in USA. Passive Microwave calibrated IR (3B41RT) performs better than TMI-2A12 rain product over Bangladesh. The main reason could be summer rain in Bangladesh that comes mainly from extensive mid-level stratiform clouds. We could also observe from PR reflectivity profile using contoured frequency by altitude display (CFAD), higher detection error are those areas where stratiform rain is dominant, or constitute a significant proportion.

Citation Download Citation

Shah Alamgir, Monique Bernier, and Marie-Josee Racine "Performance of TRMM satellite data over the rain-gauge observations in Bangladesh", Proc. SPIE 5568, Remote Sensing for Agriculture, Ecosystems, and Hydrology VI, (26 October 2004); https://doi.org/10.1117/12.565815

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