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Rainfall Nowcasting Models for Early Warning Systems
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Authors: Davide Luciano De Luca (Department of Soil Conservation, University of Calabria, Italy) 
Book Description:
This book provides a state of the art overview of rainfall nowcasting or short-term rainfall forecasting, which is an essential component of early warning systems for mitigating risks of landslide and floods. Special attention is given to spatial and temporal hydrological scales that are associated with the forecast of flash-floods and shallow-landslides. The importance of Probabilistic Quantitative Precipitation Forecast (PQPF) is highlighted. This approach is beneficial to a Quantitative Precipitation Forecast (QPF). Moreover, several approaches for nowcasting are compared. In particular, the differences in performances between stochastic and meteorological models. A methodology for coupling these approaches is proposed, which can improve nowcasting “outside a storm event” (i.e. prior to the commencement of rainfall). (Imprint: Novinka)

Table of Contents:
Preface pp. i-xxvii

Acknowledgements

List of Figures

List of Tables

List of Symbols

1. Introduction pp. 1-4

2. Deterministic and Probabilistic Forecasting pp. 5-12

3. Stochastic Models pp. 13-64

4. Meteorological Models pp. 65-78

5. Coupled Meteorological-Stochastic Models pp. 79-92

6. Conclusions pp. 93-94

Appendices

A. Probability Distributions pp. 95-124

B. Statistical Inference pp. 125-150

References pp. 151-162

Index pp. 163-168

   Series:
      Hydrological Science and Engineering (Series Editor - Dr. Tommy S. W. Wong)
   Binding: Softcover
   Pub. Date: 2013- April
   Pages: 195, 6 x 9 (NBC - C)
   ISBN: 978-1-62257-805-4
   Status: AV
  
Status Code Description
AN Announcing
FM Formatting
PP Page Proofs
FP Final Production
EP Editorial Production
PR At Prepress
AP At Press
AV Available
  
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Rainfall Nowcasting Models for Early Warning Systems