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Applications of Stochastic Modeling in Climate Change Impact Assessment

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Stochastic and Statistical Methods in Hydrology and Environmental Engineering

Part of the book series: Water Science and Technology Library ((WSTL,volume 10/3))

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Abstract

The development of stochastic models of precipitation has been driven primarily by practical problems of hydrologic data simulation, particularly for water resource systems design and management in data-scarce situations, and by scientific interest in the probabilistic structure of the arrival process of precipitation events. The need for better methods of developing local climate scenarios associated with alternative climate simulations produced by global atmospheric general circulation models (GCMs) has provided another application for stochastic models of precipitation, but necessitates different model structures.

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Author information

Authors and Affiliations

  1. Department of Civil Engineering FX-10, University of Washington, Seattle, WA, 98195, USA

    Dennis P. Lettenmaier

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  1. Dennis P. Lettenmaier
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Editor information

Editors and Affiliations

  1. Departments of Systems Design Engineering and Statistics and Actuarial Science, University of Waterloo, Waterloo, Ontario, Canada

    Keith W. Hipel

  2. Department of Statistical and Actuarial Sciences, The University of Western Ontario, London, Ontario, Canada

    A. Ian McLeod

  3. Department of Systems Design Engineering, University of Waterloo, Waterloo, Ontario, Canada

    A. Ian McLeod

  4. Department of Civil Engineering, Lakehead University, Thunder Bay, Ontario, Canada

    U. S. Panu

  5. Department of Civil Engineering, Louisiana State University, Baton Rouge, Louisiana, USA

    Vijay P. Singh

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© 1994 Springer Science+Business Media Dordrecht

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Lettenmaier, D.P. (1994). Applications of Stochastic Modeling in Climate Change Impact Assessment. In: Hipel, K.W., McLeod, A.I., Panu, U.S., Singh, V.P. (eds) Stochastic and Statistical Methods in Hydrology and Environmental Engineering. Water Science and Technology Library, vol 10/3. Springer, Dordrecht. https://doi.org/10.1007/978-94-017-3083-9_1

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  • DOI: https://doi.org/10.1007/978-94-017-3083-9_1

  • Publisher Name: Springer, Dordrecht

  • Print ISBN: 978-90-481-4379-5

  • Online ISBN: 978-94-017-3083-9

  • eBook Packages: Springer Book Archive

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