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An ET-Based Two-Phase Method for the Calibration and Application of Distributed Hydrological Models

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  • Zhandong Sun

    (State Key Laboratory of Lake Science and Environment, Nanjing Institute of Geography and Limnology, Chinese Academy of Sciences)

  • Tom Lotz

    (State Key Laboratory of Lake Science and Environment, Nanjing Institute of Geography and Limnology, Chinese Academy of Sciences
    Jinling Institute of Technology)

  • Qun Huang

    (State Key Laboratory of Lake Science and Environment, Nanjing Institute of Geography and Limnology, Chinese Academy of Sciences)

Abstract

Parameter calibration is a core process for the application of distributed hydrological models, which depends strongly on river runoff records. However, the sparse distribution of hydrological gauging stations has largely limited the application of hydrological modeling. Remote sensing evapotranspiration (ET) data open a new avenue for the calibration of hydrological models. In this study, we used MOD16 ET, a data product from the moderate-resolution imaging spectroradiometer (MODIS), to calibrate a hydrological model in a two-phased approach. A simulated runoff time series was created with the Soil and Water Assessment Tool (SWAT) model that was automatically calibrated for ET in the first phase. The simulated runoff time series was then used in the second phase as the “observed” variable for a semiautomatic calibration in which runoff composition was further refined based on a comprehensive understanding of the local hydrological cycle. The results indicate that the output of simulated ET to MOD16 ET was acceptable and produced a reasonable runoff time series compared to the actual observed runoff, yet the composition of runoff was unsatisfactory for the different runoff components (e.g., surface runoff and base flow) after only automatic calibration. The runoff components were improved by semimanual calibration of the runoff sensitive parameters and resulted in a well calibrated distributed hydrological model. The increasing availability and improving quality of global ET datasets provide an alternative way to calibrate hydrological models, especially in ungauged meso- and large-scale basins. Even though the runoff gauging series is not a prerequisite for the method, some in situ observations are still valuable for the optimization of water cycle components.

Suggested Citation

  • Zhandong Sun & Tom Lotz & Qun Huang, 2021. "An ET-Based Two-Phase Method for the Calibration and Application of Distributed Hydrological Models," Water Resources Management: An International Journal, Published for the European Water Resources Association (EWRA), Springer;European Water Resources Association (EWRA), vol. 35(3), pages 1065-1077, February.
    • Handle: RePEc:spr:waterr:v:35:y:2021:i:3:d:10.1007_s11269-021-02774-x
    DOI: 10.1007/s11269-021-02774-x
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    References listed on IDEAS

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    1. Scott Jasechko & Zachary D. Sharp & John J. Gibson & S. Jean Birks & Yi Yi & Peter J. Fawcett, 2013. "Terrestrial water fluxes dominated by transpiration," Nature, Nature, vol. 496(7445), pages 347-350, April.
    2. Gassman, Philip W. & Reyes, Manuel R. & Green, Colleen H. & Arnold, Jeffrey G., 2007. "The Soil and Water Assessment Tool: Historical Development, Applications, and Future Research Directions," ISU General Staff Papers 200701010800001027, Iowa State University, Department of Economics.
    3. Wen-chuan Wang & Kwok-wing Chau & Dong-mei Xu & Xiao-Yun Chen, 2015. "Improving Forecasting Accuracy of Annual Runoff Time Series Using ARIMA Based on EEMD Decomposition," Water Resources Management: An International Journal, Published for the European Water Resources Association (EWRA), Springer;European Water Resources Association (EWRA), vol. 29(8), pages 2655-2675, June.
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    2. Xiaoyang Li & Lei Ye & Xuezhi Gu & Jinggang Chu & Jin Wang & Chi Zhang & Huicheng Zhou, 2024. "Development of A Distributed Modeling Framework Considering Spatiotemporally Varying Hydrological Processes for Sub-Daily Flood Forecasting in Semi-Humid and Semi-Arid Watersheds," Water Resources Management: An International Journal, Published for the European Water Resources Association (EWRA), Springer;European Water Resources Association (EWRA), vol. 38(10), pages 3725-3754, August.
    3. Hong Xuan Do & Hung T.T. Nguyen & Vinh Ngoc Tran & Manh-Hung Le & Binh Quang Nguyen & Hung T. Pham & Tu Hoang Le & Doan Binh & Thanh Duc Dang & Hoang Tran & Tam V. Nguyen, 2024. "Uncertain Benefits of Using Remotely Sensed Evapotranspiration for Streamflow Estimation—Insights From a Randomized, Large-Sample Experiment," Water Resources Management: An International Journal, Published for the European Water Resources Association (EWRA), Springer;European Water Resources Association (EWRA), vol. 38(10), pages 3819-3835, August.
    4. Sakine Koohi & Asghar Azizian & Luca Brocca, 2022. "Calibration of a Distributed Hydrological Model (VIC-3L) Based on Global Water Resources Reanalysis Datasets," Water Resources Management: An International Journal, Published for the European Water Resources Association (EWRA), Springer;European Water Resources Association (EWRA), vol. 36(4), pages 1287-1306, March.

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