TY - GEN
T1 - Comparative study of TRMM satellite predicted rainfall data with rain gauge data over Himalayan basin
AU - Shukla, Anoop Kumar
AU - Ojha, C. S.P.
AU - Garg, R. D.
N1 - Publisher Copyright:
© 2018 IEEE.
PY - 2018/10/31
Y1 - 2018/10/31
N2 - Hilly regions are characterized by high spatio-temporal variations in climatic characteristic such as rainfall due to variations in the topography. Himalayan basin is very susceptible to flooding and cloud burst occasions like one happened at Kedarnath area in June 2013. Estimation of rainfall over a hilly region is a challenging task due to scarcity of rain gauge network. Due to the existing gaps and uncertainty in the rainfall data, these regions are susceptible to disasters such as cloud burst and flash floods. Proper understanding of the precipitation patterns of these regions is required so that disaster mitigation plans can be made and implemented accordingly. Remotely sensed and improved, high-resolution rainfall data derived from Tropical Rainfall Measuring Mission (TRMM) satellite can be used as an alternative to the rain gauge observed rainfall data. However, a proper validation of the satellite-derived products is necessary before using it for various applications. This study aims to compare monthly and monsoon season precipitation derived product from Tropical Rainfall Measuring Mission (TRMM) Multi-satellite Precipitation Analysis (TMPA) with the rain gauge analysis from January 1998 to December 2012. Statistical investigation was done for computing relationship of the TMPA product with the rain gauge station data. Statistical indices showing good agreements with the rain gauge data on monthly as well as monsoon season time scales. It was observed that the TRMM 3B43 rainfall estimates were much closer to the rain gauge data, with minimal biases.
AB - Hilly regions are characterized by high spatio-temporal variations in climatic characteristic such as rainfall due to variations in the topography. Himalayan basin is very susceptible to flooding and cloud burst occasions like one happened at Kedarnath area in June 2013. Estimation of rainfall over a hilly region is a challenging task due to scarcity of rain gauge network. Due to the existing gaps and uncertainty in the rainfall data, these regions are susceptible to disasters such as cloud burst and flash floods. Proper understanding of the precipitation patterns of these regions is required so that disaster mitigation plans can be made and implemented accordingly. Remotely sensed and improved, high-resolution rainfall data derived from Tropical Rainfall Measuring Mission (TRMM) satellite can be used as an alternative to the rain gauge observed rainfall data. However, a proper validation of the satellite-derived products is necessary before using it for various applications. This study aims to compare monthly and monsoon season precipitation derived product from Tropical Rainfall Measuring Mission (TRMM) Multi-satellite Precipitation Analysis (TMPA) with the rain gauge analysis from January 1998 to December 2012. Statistical investigation was done for computing relationship of the TMPA product with the rain gauge station data. Statistical indices showing good agreements with the rain gauge data on monthly as well as monsoon season time scales. It was observed that the TRMM 3B43 rainfall estimates were much closer to the rain gauge data, with minimal biases.
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U2 - 10.1109/IGARSS.2018.8651413
DO - 10.1109/IGARSS.2018.8651413
M3 - Conference contribution
AN - SCOPUS:85064175332
T3 - International Geoscience and Remote Sensing Symposium (IGARSS)
SP - 9347
EP - 9350
BT - 2018 IEEE International Geoscience and Remote Sensing Symposium, IGARSS 2018 - Proceedings
PB - Institute of Electrical and Electronics Engineers Inc.
T2 - 38th Annual IEEE International Geoscience and Remote Sensing Symposium, IGARSS 2018
Y2 - 22 July 2018 through 27 July 2018
ER -