Evaluation of the HBV Hydrological Model Parameters Using Field Observation Data on Experimental Catchments (South of Primorsky Krai)
Author:
Publisher
Pleiades Publishing Ltd
Subject
Management, Monitoring, Policy and Law,Earth-Surface Processes,Geography, Planning and Development
Link
https://link.springer.com/content/pdf/10.1134/S1875372822030088.pdf
Reference26 articles.
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3. Merz, R., Parajka, J., and Bloschl, G., Time stability of catchment model parameters: Implications for climate impact analyses, Water Resour. Res., 2011, vol. 47, p. W02531.
4. Yapo, P.O., Gupta, H.V., and Sorooshian, S., Automatic calibration of conceptual rainfall-runoff models: sensitivity to calibration data, J. Hydrol., 1996, vol. 181, nos. 1–4, pp. 23–48.
5. Vrugt, J.A., Gupta, H.V., Dekker, S.C., Sorooshian, S., Wagener, T., and Bouten, W., Application of stochastic parameter optimization to the Sacramento soil moisture accounting model, J. Hydrol., 2006, vol. 325, pp. 288–307.
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1. The Effect of Temporal Aggregation of Observation Data on Parameter Calibration Results and the Efficiency of Runoff Simulation: Case Study of Small Catchments (Southern Primorskii Krai, Russia);Water Resources;2024-05-23
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