Evaluation and bias corrections of gridded precipitation data for hydrologic modelling support in Kabini River basin, India

作者: Subash Yeggina , Ramesh S. V. Teegavarapu , Sekhar Muddu

DOI: 10.1007/S00704-020-03175-7

关键词:

摘要: A comprehensive assessment and bias corrections of two gridded daily precipitation products, based on gauge-only multi-satellite observations, are undertaken in this study using independent rain gauge data around the Kabini River (KR) basin South India. The KR basin, with complex terrain, highly variable heterogeneous land use poses challenges development accurate products. from India Meteorological Department (IMD) product Tropical Rainfall Measuring Mission (TRMM) Multi-satellite Precipitation Analysis (TMPA)-3B42 evaluated at monthly scales study. Both products available 0.25° spatial resolution assessed 57 observations for period 2009–2016. Multiple visual statistical metrics have been utilized to assess error characteristics capability these estimates replicating extremes. Results indicate that is generally better than product. notably overestimates light underestimates extreme over region. To mitigate overestimation dry days TMPA-3B42 estimates, a dry-day correction method developed applied nearby observations. Furthermore, quantile-based also both after confirming stationarity data, which substantially improved distributed hydrological modelling studies basin.

参考文章(55)
Thomas R. Karl, Neville Nicholls, Anver Ghazi, CLIVAR/GCOS/WMO Workshop on Indices and Indicators for Climate Extremes Workshop Summary Climatic Change. ,vol. 42, pp. 3- 7 ,(1999) , 10.1023/A:1005491526870
Satya Prakash, Ashis K. Mitra, Amir AghaKouchak, D.S. Pai, Error characterization of TRMM Multisatellite Precipitation Analysis (TMPA-3B42) products over India for different seasons Journal of Hydrology. ,vol. 529, pp. 1302- 1312 ,(2015) , 10.1016/J.JHYDROL.2015.08.062
M. Rajeevan, Jyoti Bhate, B. Lal, J. D. Kale, High resolution daily gridded rainfall data for the Indian region: Analysis of break and active monsoon spells Current Science. ,vol. 91, pp. 296- 306 ,(2006)
Glenn W. Brier, William H. Best, Hans A. Panofsky, Some applications of statistics to meteorology ,(1958)
Mekonnen Gebremichael, Framework for Satellite Rainfall Product Evaluation Rainfall: State of the Science. ,vol. 191, pp. 265- 275 ,(2013) , 10.1029/2010GM000974
H. Leijnse, R. Uijlenhoet, J. N. M. Stricker, Rainfall measurement using radio links from cellular communication networks Water Resources Research. ,vol. 43, ,(2007) , 10.1029/2006WR005631
Ramesh S. V. Teegavarapu, Aneesh Goly, Qinglong Wu, Comprehensive Framework for Assessment of Radar-Based Precipitation Data Estimates Journal of Hydrologic Engineering. ,vol. 22, ,(2017) , 10.1061/(ASCE)HE.1943-5584.0001277
George J. Huffman, Robert F. Adler, David T. Bolvin, Eric J. Nelkin, The TRMM Multi-Satellite Precipitation Analysis (TMPA) Springer, Dordrecht. pp. 3- 22 ,(2010) , 10.1007/978-90-481-2915-7_1
Amir AghaKouchak, Ali Mehran, Hamidreza Norouzi, Ali Behrangi, Systematic and random error components in satellite precipitation data sets Geophysical Research Letters. ,vol. 39, ,(2012) , 10.1029/2012GL051592
Jie Chen, François P. Brissette, Diane Chaumont, Marco Braun, Finding appropriate bias correction methods in downscaling precipitation for hydrologic impact studies over North America Water Resources Research. ,vol. 49, pp. 4187- 4205 ,(2013) , 10.1002/WRCR.20331