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Improvement of a Hydrological Model Performance by Satellite Rainfall Product

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Water and Life in Tonle Sap Lake

Abstract

Presently, the number of rainfall stations in the Tonle Sap Lake (TSL) basin is not sufficient to ensure the reproducibility of the runoff discharge by a hydrological model. This chapter demonstrates that satellite-based rainfall is effective to improve the performance of a hydrological model in the TSL basin. Our study applied the rainfall estimate of the Global Precipitation Climatology Project (GPCP) for the TSL basin. The original GPCP showed similar spatial distribution to the gauged rainfall but with approximately 45% of overestimation. The bias-adjusted GPCP rainfall based on the gauged rainfall showed the improved performance of a hydrological model in the targeted six basins except for one basin. Comparing the Nash–Sutcliffe efficiency (NSE) of simulated runoff from gauged and satellite rainfall, the mean NSE in seven basins improved from 0.39 to 0.49 in the validation period.

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References

  • Aonashi K, Awaka J, Hirose M, Kozu T, Kubota T, Liu G, Shige S, Kida S, Seto S, Takahashi N, Takayabu YN. GSMaP passive microwave precipitation retrieval algorithm: Algorithm description and validation. J Meteorol Soc Jpn. 2009;87A:119–36.

    Article  Google Scholar 

  • Ashouri H, Hsu KL, Sorooshian S, Braithwaite DK, Kna KR, Cecil LD, Nelson BR, Prat OP. Persian-CDR Daily precipitation climate data record from multisatellite observations for hydrological and climate studies. Am Meteorol Soc. 2015;96:69–83.

    Article  Google Scholar 

  • Biemans H, Hutjes RWA, Kabat P, Strengers BJ, Gerten D, Rost S. Effects of precipitation uncertainty on discharge calculations for main river basins. J Hydrometeorol. 2009;10:1011–25.

    Article  Google Scholar 

  • DHI. MIKE 11 A modeling system for rivers and channels reference manual. Denmark: DHI Water & Environment; 2016.

    Google Scholar 

  • Duan Q, Soroshian S, Gupta V. Effective and efficient global optimization for conceptual rainfall-runoff models. Water Resour Res. 1992;28(4):1015–31.

    Article  Google Scholar 

  • Fujii H, Garsdal H, Ward P, Ishii M, Morishita K, Boivin T. Hydrological roles of the Cambodian floodplain of the Mekong River. Int J River Basin Manage. 2003;1(3):253–66.

    Article  Google Scholar 

  • Fujihara Y, Yamamoto Y, Tsujimoto Y, Sakagami J. Discharge simulation in a data-scarce basin using reanalysis and global precipitation data, A case study of the White Volta basin. J Water Resource Protect. 2014;6:1316–25.

    Article  Google Scholar 

  • Getirana ACV, Espinoza JCV, Ronchail J, Filho OCR. Assessment of different precipitation datasets and their impacts on the water balance of the Negro river basin. J Hydrol. 2011;404:304–22.

    Article  Google Scholar 

  • Huffman GJ, et al. The global precipitation climatology project (GPCP) combined precipitation dataset. Bull Am Meteor Soc. 1997;78:5–20.

    Article  Google Scholar 

  • Huffman GJ, Adler RF, Morrissey MM, Bolvin DT, Curtis S, Joyce R, McGavock B, Susskind J. Global precipitation at one-degree daily resolution from multi-satellite observations. J Hydrometeorol. 2001;2:36–50.

    Article  Google Scholar 

  • Huffman GJ, Bolvin DT. 2013. Version 1.2 GPCP one-degree daily precipitation data set documentation. http://precip.gsfc.nasa.gov. Last access March 20, 2013.

  • Kakizawa K, Sunada K, Suetsugi T. Verification on the use of global precipitation data in the Mekong River basin. Trans Japan Soc Civil Eng B1 (Hydro Eng). 2011;67(4):289–94.

    Google Scholar 

  • Kotsuki S, Tanaka K. Uncertainties of precipitation products and their impacts on runoff estimates through hydrological land surface simulation in Southeast Asia. Hydrol Res Lett. 2013;7(4):79–84.

    Article  Google Scholar 

  • Kubota T, Shige S, Hashizume H, Aonashi K, Takahashi N, Seto S, Hirose M, Takayabu YN, Nakagawa K, Iwanami K, Ushio T, Kachi M, Okamoto K. Global precipitation map using satellite borne microwave radiometers by the GSMap project, production and validation. IEEE Trans Geosci Remote Sens. 2007;45(7):2259–75.

    Article  Google Scholar 

  • Lauri H, Räsänen TA, Kummu M. Using reanalysis and remotely sensed temperature and precipitation data for hydrological modeling in monsoon climate. Mekong River case study. J Hydrometeorol. 2014;15:1532–45.

    Article  Google Scholar 

  • Madsen H. Automatic calibration of a conceptual rainfall-runoff model using multiple objectives. J Hydrol. 2000;235:276–88.

    Article  Google Scholar 

  • Mohammed IN, Bolten JD, Srinivasan R, Lakshmi V. Satellite observations and modeling to understand the Lower Mekong River Basin stream flow variability. J Hydrol. 2018;564:559–73.

    Article  Google Scholar 

  • Nash JE, Sutcliffe JV. River flow forecasting through conceptual models, part I A discussion of principles. J Hydrol. 1970;10:282–90.

    Article  Google Scholar 

  • Nguyen TH, Masih I, Mohamed YA, Zaag PVD. Validating rainfall-runoff modeling using satellite-based and reanalysis precipitation products in the Sre Pok Catchment, the Mekong River Basin. Geosciences. 2018;8:164.

    Article  Google Scholar 

  • Okamoto K, Iguchi T, Takahashi N, Iwanami K, Ushio T (2005) The global satellite mapping of precipitation (GSMaP) project. In: 25th IGARSS Proceedings, pp. 3414–3416.

    Google Scholar 

  • Phalla P. Report on the status of weather observation in Cambodia. In: JMA/WMO workshop on quality management in surface, climate and upper-air observations in RAII(Asia), 2010.

    Google Scholar 

  • Ushio T, Kubota T, Shige S, Okamoto K, Aonashi K, Inoue T, Takahashi N, Iguchi T, Kachi M, Oki R, Morimoto T, Kawasaki Z. A Kalman filter approach to the global satellite mapping of precipitation (GSMaP) from combined passive microwave and infrared radiometric data. J Meteorol Soc Japan. 2009;87A:137–51.

    Article  Google Scholar 

  • Wang W, Lu H, Yang D, Sothea K, Jiao Y, Gao B, Peng X, Pang Z. Modeling hydrologic processes in the Mekong River Basin using a distributed model driven by satellite precipitation and rain gauge observations. PLoS One. 2016;11(3):e0152229.

    Article  Google Scholar 

  • World Meteorological Organization Guide to hydrological practices. Vol. 1 Hydrology from measurement to hydrological information: WMO-No.168, 2008.

    Google Scholar 

  • Yoneda I, Fujii H, Fujihara Y. Improvement of hydrological and hydraulic model applying GPCP and its characteristics in the Tonle Sap Lake. J Rainwater Catchment Syst. 2019;25(1):23–31. (in Japanese with English abstract)

    Article  Google Scholar 

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Correspondence to Hideto Fujii .

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Fujii, H., Yoneda, I., Fujihara, Y., Hoshikawa, K., Nakamura, T. (2022). Improvement of a Hydrological Model Performance by Satellite Rainfall Product. In: Yoshimura, C., Khanal, R., Sovannara, U. (eds) Water and Life in Tonle Sap Lake. Springer, Singapore. https://doi.org/10.1007/978-981-16-6632-2_10

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