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Hydrological Modelling and the Water Cycle pp 1–24Cite as

General Review of Rainfall-Runoff Modeling: Model Calibration, Data Assimilation, and Uncertainty Analysis

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Part of the book series: Water Science and Technology Library ((WSTL,volume 63))

All Rainfall-Runoff (R-R) models and, in the broader sense, hydrologic models are simplified characterizations of the real world system. A wide range of R-R models are currently used by researchers and practitioners, however the applications of these models are highly dependent on the purposes for which the modeling is made. Many R-R models are used merely for research purposes in order to enhance the knowledge and understanding about the hydrological processes that govern a real world system. Other types of models are developed and employed as tools for simulation and prediction aiming ultimately to allow decision makers to take the most effective decision for planning and operation while considering the interactions of physical, ecological, economic, and social aspects of a real world system.

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Authors and Affiliations

  1. Department of Civil and Environmental Engineering, Portland State University, Portland, OR, USA

    Hamid Moradkhani

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  1. Hamid Moradkhani
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  2. Soroosh Sorooshian
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Editors and Affiliations

  1. Civil Engineering Dept, UCI, E/4130 Engineering Gateway Mail Code 2175, Irvine, CA 92697, USA

    Soroosh Sorooshian  & Kuo-Lin Hsu  & 

  2. Via Vetoio 67010 L’Aquila CETEMPS, University of L’Aquila, Italy

    Erika Coppola , Barbara Tomassetti  & Marco Verdecchia ,  & 

  3. Dipto. Fisica INFN Unit Via Vetoio, 10 67010 L’Aquila, Universita L’Aquila, Italy

    Guido Visconti

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Moradkhani, H., Sorooshian, S. (2009). General Review of Rainfall-Runoff Modeling: Model Calibration, Data Assimilation, and Uncertainty Analysis. In: Sorooshian, S., Hsu, KL., Coppola, E., Tomassetti, B., Verdecchia, M., Visconti, G. (eds) Hydrological Modelling and the Water Cycle. Water Science and Technology Library, vol 63. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-540-77843-1_1

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