Using gridded rainfall products in simulating streamflow in a tropical catchment – A case study of the Srepok River Catchment, Vietnam

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Abstract

The precise rainfall estimate with appropriate spatial and temporal resolutions is a key input to distributed hydrological models. However, networks of rain gauges are often sparsely distributed in developing countries. To overcome such limitations, this study used some of the existing gridded rainfall products to simulate streamflow. Four gridded rainfall products, including APHRODITE, CFSR, PERSIANN, and TRMM, were used as input to the SWAT distributed hydrological model in order to simulate streamflow over the Srepok River Catchment in Vietnam. Besides that, the available rain gauges data were also used for comparison. Amongst the four different datasets, the TRMM and APHRODITE data show their best match to rain gauges data in simulating the daily and monthly streamflow with satisfactory precision in the 2000-2006 period. The result indicates that the TRMM and APHRODITE data have potential applications in driving hydrological model and water resources management in data-scarce and ungauged areas in Vietnam.

Abbaspour, K.C., 2014. SWAT-CUP 2012. SWAT Calibration and Uncertainty Programs - A User Manual. Swiss Federal Institute of Aquatic Science and Technology, Duebendorf.

Arnold, J.G., Srinivasan, P., Muttiah, R.S., Williams, J.R., 1998. Large area hydrologic modelling and assessment, Part I: Model development. Journal of the American Water Resources Association, 34, 73-89.

Artan, G., Gadain, H., Smith, J.L., Asante, K., Bandaragoda, C.J., Verdin, J.P., 2007. Adequacy of satellite derived rainfall data for streamflow modelling. Natural Hazards, 43, 167-185.

Ashouri, H., Hsu, K.L., Sorooshian, S., Braithwaite, D.K., Knapp, K.R., Cecil, L.D., Nelson, B.R., Prat, O.P., 2015. PERSIANN-CDR: Daily precipitation data record from multisatellite observations for hydrological and climate studies. Bulletin of the American Meteorological Society, 96, 1, 69-83.

Casse, C., Gosset, M., 2015. Analysis of hydrological changes and flood increase in Niamey based on the PERSIANNCDR satellite rainfall estimate and hydrological simulations over the 1983-2013 period. Proceedings of IAHS, 370, 117-123.

Dile, Y.T., Srinivasan, R., 2014. Evaluation of CFSR climate data for hydrologic prediction in data-scarce watersheds: an application in the Blue Nile River Basin. JAWRA Journal of the American Water Resources Association, 50, 5, 1226-1241.

Donigian, A.S., Bicknell, B.R., Imhoff, J.C., 1995. Chapter 12: Hydrological simulation program - Fortran (HSPF). In: Singh V.P. (Ed.): Computer Models of Watershed Hydrology. Water Resources Publication, Littleton, Colorado, USA.

Habib, E., Haile, A.T., Sazib, N., Zhang, Y., Rientjes, T., 2014. Effect of bias correction of satellite-rainfall estimates on runoff simulations at the source of the Upper Blue Nile. Remote Sensing, 6, 6688-6708.

Huffman, G.J., Adler, R.F., Bolvin, D.T., Gu, G., Nelkin, E.J., Bowman, K.P., Hong Yang, Sticker, E.F., Wolff, D.B., 2007. The TRMM multisatellite precipitation analysis: Quasi- global, multiyear, combined-sensor precipitation estimates at fine scale. Journal of Hydrometeorology, 8, 38-55.

Hughes, D.A., 2006. Comparison of satellite rainfall data with observations from gauging station networks. Journal of Hydrology, 327, 399-410.

Khoi, D.N., Suetsugi, T., 2012. Hydrologic response to climate change: a case study for the Be River Catchment, Vietnam. Journal of Water and Climate Change, 3, 3, 207-224.

Khoi, D.N., Thom, V.T., 2015. Parameter uncertainty analysis for simulating streamflow in a river catchment of Vietnam. Global Ecology and Conservation, 4, 538-548.

Krause, P., Boyle, D.P., Base, F., 2005. Comparison of different efficiency criteria for hydrological model assessment. Advances in Geosciences, 5, 89-97.

Lauri, H., Rasanen, T.A., Kummu M., 2014. Using reanalysis and remotely sensed temperature and precipitation data for hydrological modelling in Monsoon Climate: Mekong River case study. Journal of Hydrometeorology, 15, 1532-1545.

Meng, J., Li, L., Hao, Z., Wang, J., Shao, Q., 2014. Suitability of TRMM satellite rainfall in driving a distributed hydrological model in the source region of Yellow River. Journal of Hydrology, 509, 320-332.

Milewski, A., Elkadiri, R., Durham, M., 2015. Assessment and comparison of TMPA satellite precipitation products in varying climatic and topographic regimes in Morocco. Remote Sensing, 7, 5697-5717. Note: Colour version of Figures can be found in the web version of this article.

Moriasi, D.N., Arnold, J.G., Van Liew, M.W., Bingner, R.L., Harmel, R.D., Veith, T.L., 2007. Model evaluation guidelines for systematic quantification of accuracy in watershed simulations. Transactions of the ASABE, 50, 3, 885-900.

Muller, M.F., Thompson, S.E., 2013. Bias adjustment of satellite rainfall data through stochastic modelling: Methods development and application to Nepal. Advances in Water Resources, 60, 121-134.

Neitsch, A.L., Arnold, J.G., Kiniry, J.R., Williams, J.R., 2011. Soil and Water Assessment Tool Theoretical Documentation Version 2009. Texas Water Resources Institute Technical Report, Texas A&M University, Texas.

Ono, K., Kazama, S., 2011. Analysis of extreme daily rainfall in Southeast Asia with a gridded daily rainfall data set. IAHS Publication 344, IAHS Press, Wallingford, pp. 169-175.

Ouma, Y.O., Owiti, T., Kipkorir, E., Kibiiy, J., Tateishi, R., 2012. Multitemporal comparative analysis of TRMM-3B42 satellite-estimated rainfall with surface gauge data at basin scales: daily, decadal and monthly evaluations. International Journal of Remote Sensing, 33, 24, 7662-7684.

Refsgaard, J.C., Storm, B., 1995. Chapter 22: MIKE SHE. computer models of watershed hydrology. In: Singh, V.P. (Ed.): Water Resources Publication, Littleton, Colorado.

Saha, S., Moorthi, S., Wu, X., Wang, J., Nadiga, S., Tripp, P., Behringer, D., Hou, Y.T., Chuang, H.Y., Iredell, M., 2014. The NCEP climate forecast system version 2. Journal of Climate, 24, 2185-2208.

Tan, M.L., Ibrahim, A.L., Duan, Z., Cracknell, A.P., 2015. Evaluation of six high resolution satellite and ground-based precipitation products over Malaysia. Remote Sensing, 7, 1504-1528.

Vu, M.T., Raghavan, S.V., Liong, S.Y., 2012. SWAT use of gridded observations for simulating runoff - A Vietnam river basin study. Hydrology and Earth System Sciences, 16, 2801-2811.

WMO (World Meteorological Organization), 1994. Guide to Hydrological Practices: Data Acquisition and Processing, Analysis, Forecasting and other Applications. WMONo. 168, WMO, Geneva.

Worqlul, A.W., Maahuis, B., Adem, A.A., Demissie, S.S., Langan, S., Steenhuis, T.S., 2014. Comparison of rainfall estimations by TRMM 3B42, MPEG, and CFSR with groundobserved data for the Lake Tana basin in Ethiopia. Hydrology and Earth System Sciences, 18, 4871-4881.

Worqlul, A.W., Collick, A.S., Tilahun, S.A., Langan, S., Rientjes, T.H.M., Steenhuis, T.S., 2015. Comparing TRMM 3B42, CFSR and ground-based rainfall estimates as input for hydrological models, in data scarce regions: the Upper Blue Nile Basin, Ethiopia. Hydrology and Earth System Sciences Discussions, 12, 2081-2112.

Yatagai, A., Kamiguchi, K., Arakawa, O., Hamada, A., Yasutomi, N., Kitoh, A., 2012. APHRODITE: Contructing a long-term daily gridded precipitation dataset for Asia based on a dense network of rain gauges. Bulletin of the American Meteorological Society, 93, 1401-1415.

Young, R.A., Onstad, C.A., Bosch, D.D., 1989. AGNPS: a nonpoint source pollution model for evaluating agricultural watersheds. Journal of Soil and Water Conservation, 44, 2, 168-173.

Zeweldi, D.A., Gebremichale, M., Downer, C.W., 2011. On CMORPH rainfall for streamflow simulation in a small, Hortonian watershed. Journal of Hydrometeorology, 12, 456-466.

Journal of Hydrology and Hydromechanics

The Journal of Institute of Hydrology SAS Bratislava and Institute of Hydrodynamics CAS Prague

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