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    Hydrological Modelling and the Water Cycle: Coupling the Atmospheric and Hydrological Models (Repost)

    Posted By: AvaxGenius
    Hydrological Modelling and the Water Cycle: Coupling the Atmospheric and Hydrological Models (Repost)

    Hydrological Modelling and the Water Cycle: Coupling the Atmospheric and Hydrological Models by Soroosh Sorooshian, Kuo-Lin Hsu, Erika Coppola, Barbara Tomassetti, Marco Verdecchia, Guido Visconti
    English | PDF | 2008 | 293 Pages | ISBN : 354077842X | 106.6 MB

    This volume is a collection of a selected number of articles based on presentations at the 2005 L’Aquila (Italy) Summer School on the topic of “Hydrologic Modeling and Water Cycle: Coupling of the Atmosphere and Hydrological Models”. The p- mary focus of this volume is on hydrologic modeling and their data requirements, especially precipitation. As the eld of hydrologic modeling is experiencing rapid development and transition to application of distributed models, many challenges including overcoming the requirements of compatible observations of inputs and outputs must be addressed. A number of papers address the recent advances in the State-of-the-art distributed precipitation estimation from satellites. A number of articles address the issues related to the data merging and use of geo-statistical techniques for addressing data limitations at spatial resolutions to capture the h- erogeneity of physical processes.

    Hydrological Modelling and the Water Cycle: Coupling the Atmospheric and Hydrological Models (Repost)

    Posted By: AvaxGenius
    Hydrological Modelling and the Water Cycle: Coupling the Atmospheric and Hydrological Models (Repost)

    Hydrological Modelling and the Water Cycle: Coupling the Atmospheric and Hydrological Models by Soroosh Sorooshian, Kuo-Lin Hsu, Erika Coppola, Barbara Tomassetti, Marco Verdecchia, Guido Visconti
    English | PDF | 2008 | 293 Pages | ISBN : 354077842X | 106.6 MB

    This volume is a collection of a selected number of articles based on presentations at the 2005 L’Aquila (Italy) Summer School on the topic of “Hydrologic Modeling and Water Cycle: Coupling of the Atmosphere and Hydrological Models”. The p- mary focus of this volume is on hydrologic modeling and their data requirements, especially precipitation. As the eld of hydrologic modeling is experiencing rapid development and transition to application of distributed models, many challenges including overcoming the requirements of compatible observations of inputs and outputs must be addressed. A number of papers address the recent advances in the State-of-the-art distributed precipitation estimation from satellites. A number of articles address the issues related to the data merging and use of geo-statistical techniques for addressing data limitations at spatial resolutions to capture the h- erogeneity of physical processes.

    Hydrological Modelling and the Water Cycle: Coupling the Atmospheric and Hydrological Models (Repost)

    Posted By: AvaxGenius
    Hydrological Modelling and the Water Cycle: Coupling the Atmospheric and Hydrological Models (Repost)

    Hydrological Modelling and the Water Cycle: Coupling the Atmospheric and Hydrological Models by Soroosh Sorooshian, Kuo-Lin Hsu, Erika Coppola, Barbara Tomassetti, Marco Verdecchia, Guido Visconti
    English | PDF | 2008 | 293 Pages | ISBN : 354077842X | 106.6 MB

    This volume is a collection of a selected number of articles based on presentations at the 2005 L’Aquila (Italy) Summer School on the topic of “Hydrologic Modeling and Water Cycle: Coupling of the Atmosphere and Hydrological Models”. The p- mary focus of this volume is on hydrologic modeling and their data requirements, especially precipitation. As the eld of hydrologic modeling is experiencing rapid development and transition to application of distributed models, many challenges including overcoming the requirements of compatible observations of inputs and outputs must be addressed. A number of papers address the recent advances in the State-of-the-art distributed precipitation estimation from satellites. A number of articles address the issues related to the data merging and use of geo-statistical techniques for addressing data limitations at spatial resolutions to capture the h- erogeneity of physical processes.