Table of contents

  1. Front Matter
    Pages I-XI
  2. General Review of Rainfall-Runoff Modeling: Model Calibration, Data Assimilation, and Uncertainty Analysis

  3. Measurement of Hydrologic Variables

    1. Front Matter
      Pages 25-25
    2. Kuo-Lin Hsu, Soroosh Sorooshian
      Pages 27-48
    3. Gianfranco Vulpiani, Frank S. Marzano
      Pages 69-92
  4. Data Merging and Dowscaling

  5. Hydrologic Modelling: Short and Long-Time Scale

    1. Front Matter
      Pages 163-163
    2. Marco Verdecchia, Erika Coppola, Barbara Tomassetti, Guido Visconti
      Pages 165-201
    3. M.L.V. Martina, E. Todini, A. Libralon
      Pages 203-227
    4. Martin C. Todd, Lotta Andersson, Denis A. Hughes, Dominic Kniveton, Russell Layberry, Michael Murray-Hudson et al.
      Pages 243-265
  6. Back Matter
    Pages 267-291

About this book


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, atmospheric and climate journals. Several already-known hydrological models and a few novel ones are presented, as well as the satellite-based precipitation techniques. As the field 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 are addressed.

The many contributing authors, who are well established in this field, provide readers with a timely overview of the ongoing research on these topics. The level of interest and active involvement in the discussions clearly demonstrate the importance the scientific community places on challenges related to the coupling of atmospheric and hydrologic models.


Cloud Meteorology NWP model Precipitation Rain Scale cellular automata algorithm climate model hydrological model neural network techniques rainfall estimation from satellites satellite

Editors and affiliations

  • Soroosh Sorooshian
    • 1
  • Kuo-Lin Hsu
    • 1
  • Erika Coppola
    • 2
  • Barbara Tomassetti
    • 2
  • Marco Verdecchia
    • 2
  • Guido Visconti
    • 3
  1. 1.Civil Engineering Dept, UCIE/4130 Engineering Gateway Mail Code 2175IrvineUSA
  2. 2.Via Vetoio 67010 L’Aquila CETEMPSUniversity of L’AquilaItaly
  3. 3.Dipto. Fisica INFN Unit Via Vetoio, 10 67010 L’AquilaUniversita L’AquilaItaly

Bibliographic information

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