Hydrological Modelling and the Water Cycle Coupling the Atmospheric and Hydrological Models /

This collected work reports on the state of the art of hydrological model simulation, as well as the methods for satellite-based rainfall estimation. Mainly addressed to scientists and researchers, the contributions have the structure of a standard paper appearing in most cited hydrological, atmosph...

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Bibliographic Details
Call Number:Libro Electrónico
Corporate Author: SpringerLink (Online service)
Other Authors: Sorooshian, Soroosh (Editor), Hsu, Kuo-lin (Editor), Coppola, Erika (Editor), Tomassetti, Barbara (Editor), Verdecchia, Marco (Editor), Visconti, Guido (Editor)
Format: Electronic eBook
Language:Inglés
Published: Berlin, Heidelberg : Springer Berlin Heidelberg : Imprint: Springer, 2008.
Edition:1st ed. 2008.
Series:Water Science and Technology Library, 63
Subjects:
Geology.
Water.
Hydrology.
Atmospheric science.
Atmospheric Science.
Online Access:Texto Completo
Table of Contents:
  • General Review of Rainfall-Runoff Modeling: Model Calibration, Data Assimilation, and Uncertainty Analysis
  • General Review of Rainfall-Runoff Modeling: Model Calibration, Data Assimilation, and Uncertainty Analysis
  • Measurement of Hydrologic Variables
  • Satellite-Based Precipitation Measurement Using PERSIANN System
  • Satellite Clouds and Precipitation Observations for Meteorology and Climate
  • Advanced Techniques for Polarimetric Radar Estimation of Rainfall
  • Measurements of Hydrological Variables from Satellite: Application to Mediterranean Regions
  • Data Merging and Dowscaling
  • Geostatistical Tools for Validation of Satellite and NWP Model Rainfall Estimates
  • An Ensemble Approach to Uncertainty Estimation for Satellite-Based Rainfall Estimates
  • Hydrologic Modelling: Short and Long-Time Scale
  • Cetemps Hydrological Model (CHyM), a Distributed Grid-Based Model Assimilating Different Rainfall Data Sources
  • Rainfall Thresholds for Flood Warning Systems: A Bayesian Decision Approach
  • Watershed Hydrological Modeling: Toward Physically Meaningful Processes Representation
  • Simulating Climate Impacts on Water Resources: Experience from the Okavango River, Southern Africa.

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