{"id":654,"date":"2020-06-26T11:51:04","date_gmt":"2020-06-26T04:51:04","guid":{"rendered":"https:\/\/senswat.eng.ku.ac.th\/2024\/?p=654"},"modified":"2026-01-29T13:49:50","modified_gmt":"2026-01-29T06:49:50","slug":"publication3","status":"publish","type":"post","link":"https:\/\/senswat.eng.ku.ac.th\/2024\/2020\/publication3\/","title":{"rendered":"International Publications"},"content":{"rendered":"\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n
Year<\/th>\nTopic<\/th>\nReference<\/th>\n<\/tr>\n
2025<\/td>\nA comprehensive evaluation of the accuracy of satellite-based precipitation estimates over Thailand.<\/a><\/td>\nKaprom, C., Williams, J.A., Mehrotra, R., Ophaphaibun, C., and Sriwongsitanon, N. 2025. A comprehensive evaluation of the accuracy of satellite-based precipitation estimates over Thailand. Journal of Hydrology: Regional Studies. Vol. 59, 102380. ISSN 2214-5818.<\/td>\n<\/tr>\n
2025<\/td>\nAssessing the impact of climate change on rainfall patterns in Thailand<\/a><\/td>\nKaprom C., Suiadee W., Prechawit C., Maneephai S., Kowsuvon N., Williams J., and Sriwongsitanon N., 2025. Assessing the impact of climate change on rainfall patterns in Thailand, in:Proceedings of the fourth World Irrigation Forum & 76th International Executive Council Meeting, Kuala Lumpur, Malaysia.<\/td>\n<\/tr>\n
2025<\/td>\nEvaluating the accuracy of daily satellite-based precipitation estimates (SPE) for runoff estimation using the FLEX-TOPO-SD model<\/a><\/td>\nPrasertthonggorn N., Maekan E., Kaprom C., Kowsuvon N., Ophaphabun C., Kaewmee W., Williams J., and Sriwongsitanon N., 2025. Evaluating the accuracy of daily satellite-based precipitation estimates (SPE) for runoff estimation using the FLEX-TOPO-SD model, in:Proceedings of the fourth World Irrigation Forum & 76th International Executive Council Meeting, Kuala Lumpur, Malaysia.<\/td>\n<\/tr>\n
2025<\/td>\nUtilizing NDVI and NDII indices for comprehensive crop monitoring and irrigation performance assessment<\/a><\/td>\nWilliams, J., Ophaphaibun C., Maekan E., Kowsuvon N., Maneephai S., Suiadee W., Prechawit C., and Sriwongsitanon N., 2025. Utilizing NDVI and NDII indices for comprehensive crop monitoring and irrigation performance assessment, in:Proceedings of the fourth World Irrigation Forum & 76th International Executive Council Meeting, Kuala Lumpur, Malaysia.<\/td>\n<\/tr>\n
2023<\/td>\nThe Combined Power of Double Mass Curves and Bias Correction for the Maximisation of the Accuracy of an Ensemble Satellite-Based Precipitation Estimate Product<\/a><\/td>\nSriwongsitanon N, Kaprom C, Tantisuvanichkul K, Prasertthonggorn N, Suiadee W, Bastiaanssen WGM, Williams JA. The Combined Power of Double Mass Curves and Bias Correction for the Maximisation of the Accuracy of an Ensemble Satellite-Based Precipitation Estimate Product. Hydrology. 2023; 10(7):154. https:\/\/doi.org\/10.3390\/hydrology10070154<\/a><\/td>\n<\/tr>\n
2023<\/td>\nUsing normalised difference infrared index patterns to constrain semi-distributed rainfall\u2013runoff models in tropical nested catchments<\/a><\/td>\nSriwongsitanon, N., Jandang, W., Williams, J., Suwawong, T., Maekan, E. and Savenije, H.H., 2023. Using normalised difference infrared index patterns to constrain semi-distributed rainfall\u2013runoff models in tropical nested catchments. Hydrology and Earth System Sciences, 27(11), pp.2149-2171.<\/td>\n<\/tr>\n
2020<\/td>\nAn Evaluation of Statistical Downscaling Techniques for Simulating Daily Rainfall Occurrences in the Upper Ping River basin<\/a><\/td>\nCheevaprasert, S., Mehrotra, R., Thianpopirug, S. and Sriwongsitanon, N., 2020. An Evaluation of Statistical Downscaling Techniques for Simulating Daily Rainfall Occurrences in the Upper Ping River Basin.\u00a0Hydrology,\u00a07(3), p.63.<\/td>\n<\/tr>\n
2020<\/td>\nValidation of seven global remotely sensed ET products across Thailand using water balance measurements and land use classifications<\/a><\/td>\nSriwongsitanon, N., Suwawong, T., Thianpopirug, S., Williams, J., Jia, L. and Bastiaanssen, W., 2020. Validation of seven global remotely sensed ET products across Thailand using water balance measurements and land use classifications.\u00a0Journal of Hydrology:<\/td>\n<\/tr>\n
2017<\/td>\nProjections of future rainfall for the upper Ping River Basin using regression-based downscaling<\/a><\/td>\nSaengsawang, S., Pankhao, P., Kaprom, C. and Sriwongsitanon, N., 2017. Projections of future rainfall for the upper Ping River Basin using regression-based downscaling.\u00a0Advances in Climate Change Research,\u00a08(4), pp.256-267.<\/td>\n<\/tr>\n
2016<\/td>\nAccounting for the influence of vegetation and landscape improves model transferability in a tropical savannah region<\/a><\/td>\nGao, H., Hrachowitz, M., Sriwongsitanon, N., Fenicia, F., Gharari, S. and Savenije, H.H., 2016. Accounting for the influence of vegetation and landscape improves model transferability in a tropical savannah region.\u00a0Water Resources Research,\u00a052(10), pp.7999-8022.<\/td>\n<\/tr>\n
2016<\/td>\nComparing the Normalized Difference Infrared Index (NDII) with root zone storage in a lumped conceptual model<\/a><\/td>\nSriwongsitanon, N., Gao, H., Savenije, H.H., Maekan, E., Saengsawang, S. and Thianpopirug, S., 2016. Comparing the Normalized Difference Infrared Index (NDII) with root zone storage in a lumped conceptual model.\u00a0Hydrology and Earth System Sciences,\u00a020(8),<\/td>\n<\/tr>\n
2015<\/td>\nThe Normalized Difference Infrared Index (NDII) as a proxy for soil moisture storage in hydrological modelling.<\/a><\/td>\nSriwongsitanon, N., Gao, H., Savenije, H.H.G., Maekan, E., Saengsawan, S. and Thianpopirug, S., 2015. The Normalized Difference Infrared Index (NDII) as a proxy for soil moisture storage in hydrological modelling.\u00a0Hydrology & Earth System Sciences Discussions,\u00a012(8).<\/td>\n<\/tr>\n
2014<\/td>\nClimate controls how ecosystems size the root zone storage capacity at catchment scale<\/a><\/td>\nGao, H., Hrachowitz, M., Schymanski, S.J., Fenicia, F., Sriwongsitanon, N. and Savenije, H.H.G., 2014. Climate controls how ecosystems size the root zone storage capacity at catchment scale.\u00a0Geophysical Research Letters,\u00a041(22), pp.7916-7923.<\/td>\n<\/tr>\n
2014<\/td>\nDefining the Z\u2013R Relationship Using Gauge Rainfall with Coarse Temporal Resolution Implications for Flood Forecasting<\/a><\/td>\nMapiam, P.P., Sharma, A. and Sriwongsitanon, N., 2014. Defining the Z\u2013R relationship using gauge rainfall with coarse temporal resolution: implications for flood forecasting.\u00a0Journal of Hydrologic Engineering,\u00a019(8), p.04014003.<\/td>\n<\/tr>\n
2014<\/td>\nFlood Investigation in the Upper Ping River Basin Using Mathematical Models<\/a><\/td>\nTaesombat, W. and Sriwongsitanon, N., 2010. Flood investigation in the Upper Ping River Basin using mathematical models.\u00a0Kasetsart Journal (Natural Science),\u00a044, pp.152-166.<\/td>\n<\/tr>\n
2014<\/td>\nIndependent determination of the maximum root zone storage (SuMax) in conceptual models<\/a><\/td>\nGao, H., Fenicia, F., Sriwongsitanon, N., Saengsawang, S., Hrachowitz, M., Gharari, S. and Savenije, H., 2014. Independent determination of the maximum root zone storage (SuMax) in conceptual models.\u00a0EGUGA, p.5305.<\/td>\n<\/tr>\n
2011<\/td>\nEffect of land cover on runoff coefficient<\/a><\/td>\nSriwongsitanon, N. and Taesombat, W., 2011. Effects of land cover on runoff coefficient.\u00a0Journal of Hydrology,\u00a0410(3-4), pp.226-238.<\/td>\n<\/tr>\n
2011<\/td>\nEstimation of the IHACRES Model Parameters for Flood Estimation of Ungauged Catchments in the Upper Ping River Basin<\/a><\/td>\nSriwongsitanon, N. and Taesombat, W., 2011. Estimation of the IHACRES model parameters for Flood Estimation of Ungauged catchments in the upper ping river basin.\u00a0Journal Kastsart (natural science),\u00a045, pp.917-931.<\/td>\n<\/tr>\n
2011<\/td>\nInfluence of atmospheric correction and number of sampling points on the accuracy of water clarity assessment using remote sensing application<\/a><\/td>\nSriwongsitanon, N., Surakit, K. and Thianpopirug, S., 2011. Influence of atmospheric correction and number of sampling points on the accuracy of water clarity assessment using remote sensing application.\u00a0Journal of Hydrology,\u00a0401(3-4), pp.203-220.<\/td>\n<\/tr>\n
2010<\/td>\nFlood Forecasting System Development for the Upper Ping River Basin<\/a><\/td>\nSriwongsitanon, N., 2010. Flood forecasting system development for the Upper Ping River Basin.\u00a0Nat. Sci,\u00a044, pp.717-731.<\/td>\n<\/tr>\n
2009<\/td>\nA Water Balance Budget for Bung Boraphet-A Flood Plain Wetland-Reservoir Complex in Thailand<\/a><\/td>\nSriwongsitanon, N., Surakit, K. and Hawkins, P.R., 2009. A water balance budget for Bung Boraphet\u2014a flood plain wetland-reservoir complex in Thailand.\u00a0Water,\u00a01(1), pp.54-79.<\/td>\n<\/tr>\n
2009<\/td>\nAreal rainfall estimation using spatial interpolation techniques<\/a><\/td>\nTaesombat, W. and Sriwongsitanon, N., 2009. Areal rainfall estimation using spatial interpolation techniques.\u00a0Science Asia,\u00a035(3), pp.268-275.<\/td>\n<\/tr>\n
2009<\/td>\nEffects of Rain Gauge Temporal Resolution on the Specification of a Z\u2013R Relationship<\/a><\/td>\nMapiam, P.P., Sriwongsitanon, N., Chumchean, S. and Sharma, A., 2009. Effects of rain gauge temporal resolution on the specification of a Z\u2013R relationship.\u00a0Journal of Atmospheric and Oceanic Technology,\u00a026(7), pp.1302-1314.<\/td>\n<\/tr>\n
2009<\/td>\nEstimation of the URBS model parameters for flood estimation of ungauged catchments in the upper Ping river basin, Thailand<\/a><\/td>\nMapiam, P.P. and Sriwongsitanon, N., 2009. Estimation of the URBS model parameters for flood estimation of ungauged catchments in the upper Ping river basin, Thailand.\u00a0ScienceAsia,\u00a035(2009), pp.49-56.<\/td>\n<\/tr>\n
2009<\/td>\nRunoff estimation using radar and rain gage data<\/a><\/td>\nMapiam, P.P., Sharma, A., Chumchean, S. and Sriwongsitanon, N., Runoff estimation using radar and rain gage data. In\u00a0Proc. 18th World IMACS\/MODSIM Congress.<\/td>\n<\/tr>\n
2008<\/td>\nClimatological Z-R relationship for radar rainfall estimation in the upper Ping river basin<\/a><\/td>\nMapiam, P.P. and Sriwongsitanon, N., 2008. Climatological ZR relationship for radar rainfall estimation in the upper Ping river basin.\u00a0Sci Asia,\u00a034(1513), pp.215-222.<\/td>\n<\/tr>\n
2007<\/td>\nDecision Support Tools for Water Resource Management A Case Study of Bung Boraphet Wetland, Thailand<\/a><\/td>\nSriwongsitanon, N., Surakit, K., Hawkins, P.R. and Chandrasena, N., 2007. Decision support tools for water resource management: a case study of Bung Boraphet Wetland, Thailand.\u00a0Journal of Developments in Sustainable Agriculture,\u00a02(1), pp.17-26.<\/td>\n<\/tr>\n
2006<\/td>\nPlanning for Wise-Use of Bung Boraphet Wetland’s Water Resources<\/a><\/td>\nSriwongsitanon, N., Surakit, K., Hawkins, P.R. and Chandrasena, N.R., 2006, October. Planning for Wise-Use of Bung Boraphet Wetland’s Water Resources. In\u00a03rd APHW Conference on \u201cWise Water Resources Management Towards Sustainable Growth and Poverty Reduction\u00a0(Vol. 1618).<\/td>\n<\/tr>\n
2004<\/td>\nDevelopment of One Dimensional Implicit Dynamic Wave Model<\/a><\/td>\nPuttaraksa, P., Sriwongsitanon, N. and Lipiwattanakarn, S., 2004. Development of one dimensional implicit dynamic wave model.\u00a0Agriculture and Natural Resources,\u00a038(3), pp.409-418.<\/td>\n<\/tr>\n
1998<\/td>\nAn investigation of the relationship between the flood wave speed and parameters in runoff routing models<\/a><\/td>\nSriwongsitanon, N., Ball, J.E. and Cordery, I.A.N., 1998. An investigation of the relationship between the flood wave speed and parameters in runoff-routing models.\u00a0Hydrological sciences journal,\u00a043(2), pp.197-213.<\/td>\n<\/tr>\n<\/tbody>\n<\/table>\n","protected":false},"excerpt":{"rendered":"

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