Abstract
Rainfall is the main driving variable to impact the hydrologic model results. In the context of unavailability of actual rainfall data, researchers use global data, derived from the satellite for hydrologic assessment of a watershed. In this study, Climate Forecast System Reanalysis (CFSR) precipitation data are tested for its reliability in regard to Assam, India; which is characterized by a wide spatial variation of rainfall. Based on the observed wet days’ records, the CFSR precipitation datasets are compared with two sets of actual gauge rainfall data, viz. Indian Meteorological Department (IMD) data and Tea Garden data. From the results of this study, the CFSR data are found to be 34.94% deficient in annual rainfall volume than the actual gauge measurements.
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References
Barnston AG, Thomas JL (1983) Rainfall measurement accuracy in face: a comparison of gauge and radar rainfall. J Climate Appl Meteorol 22:2038–2052
Bora DJ, Borah M (2017) A statistical study on rainfall frequency analysis of north east india. phd thesis, dept. Of mathematical sciences, tezpur university, assam, india
Dinku T, Connor S, Ceccato (2011) Evaluation of satellite rainfall estimates and gridded gauge products over the upper blue nile region. In: nile river basin, melesse am (ed). Springer: dordrecht, 109–127. https://doi.org/10.1007/978-94-007-0689-7
Elamir EA, Seheult AH (2003) Trimmed l-moments. J Comput Statist Data Anal 43:299–314
Espinosa B, Hromadka TV, Perez R (2015) Comparison of radar data versus rainfall data. J methodsx (sciencedirect), methodsx 2:423–431. https://doi.org/10.1016/j.mex.2015.10.007
Grimes D, Diop M (2003) Satellite-based rainfall estimation for river flow forecasting in africa. I: rainfall estimates and hydrological forecasts. J Hydrol Sci 48(4)
Guo R, Liu Y (2016) Evaluation of satellite precipitation products with rain gauge data at different scales: implications for hydrological applications. www.mdpi.com/journal/water, https://doi.org/10.3390/w8070281
Hosking JRM, Wallis JR (1993) Some statistics useful in regional frequency analysis. J Water Resour Res 29(2):271–281
Hughes DA (2006) Comparison of satellite rainfall data with observations from gauging station networks. J Hydrol (2006) 327:399– 410
Koutsouris, a. J., chen, d., and lyon, s. W. 2016.”comparing global precipitation data sets in eastern africa: a case study of kilombero valley, tanzania. Int J Climatol 36:2000–2014
Liechti CT, Matos JP, Boillat JL, Schleiss AJ (2012) Comparison and evaluation of satellite derived precipitation products for hydrological modeling of the zambezi river basin. J Hydrol Earth Syst Sci 16:489–500. https://doi.org/10.5194/hess-16-489-2012
Masunaga H, Iguchi T, Oki R, Kachi M (2002) Comparison of rainfall products derived from trmm microwave imager and precipitation radar. Amer Meteorol Soc 41
Nyatuame M, Gyimah VO, Ampiaw F (2014) Statistical analysis of rainfall trend for volta region in ghana. Int J Atmosph Sci. https://doi.org/10.1155/2014/203245
Romilly TG, Gebremichae M (2011) Ealuation of satellite rainfall estimates over ethiopian river basins. J Hydrol. Earth Syst Sci 15:1505–1514. https://doi.org/10.5194/hess-15-1505-2011
Rossi M, Kirschbaum D, Valigi D, Mondini AC, Guzzetti F (2017) Cmparison of satellite rainfall estimates and rain gauge measurements in italy, and impact on landslide modeling. J Climate 5:90. https://doi.org/10.3390/cli5040090
Sapiano MRP, Arkin PA (2008) Anintercomparison and validation of high-resolution satellite precipitation estimates with 3-hourly gauge data. J Amer Soc. https://doi.org/10.1175/2008jhm1052.1
Schulz J, Albert P, Behr HD, Caprion D, Deneke H, Dewitte S, Durr B et al (2009) Operational climate monitoring from space: the eumetsat satellite application facility on climate monitoring (cm-saf). Atmos Chem Phys 9:1687–1709. https://doi.org/10.5194/acp-9-1687
Shabri AB, Doud ZM, Ariff NM (2011) Regional analysis of annual maximum rainfall using tl-moments methods. J Theor Appl Climatol 104:561–570
Thorne V, Coakley P, Grimes D, Dugdale G (2001) Comparison of tamsat and cpc rainfall estimates with rainfall, for southern africa. Int J Remote Sens 22(10):1951–1974
Todd MC, Barret EC, Beaumont MJ, Bellerby TT (1999) Estimation of daily rainfall over the upper nile river basin using a continuously calibrated satellite infrared technique. J Meteorol Appl 6(3):201–210
Trefry C, Watkins D, Johnson D (2005) Regional rainfall frequency analysis for the state of michigan. J Hydrol Eng 10(6):437–449
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Dutta, P., Devi, D., Sarma, A.K. (2021). Comparing Global High-Resolution Precipitation Data with Rain Gauge Data in Assam, India. In: Jha, R., Singh, V.P., Singh, V., Roy, L.B., Thendiyath, R. (eds) Climate Change Impacts on Water Resources. Water Science and Technology Library, vol 98. Springer, Cham. https://doi.org/10.1007/978-3-030-64202-0_30
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