Rainfall nowcasting models for early warning systems / Davide Luciano De Luca (Department of Soil Conservation, University of Calabria, Italy).

Includes bibliographical references and index.

Print version record.

RAINFALL NOWCASTING MODELS FOR EARLY WARNING SYSTEMS; RAINFALL NOWCASTING MODELS FOR EARLY WARNING SYSTEMS; Library of Congress Cataloging-in-Publication Data; CONTENTS; PREFACE; ACKNOWLEDGMENTS; LIST OF FIGURES; LIST OF TABLES; LIST OF SYMBOLS; Chapter 1: INTRODUCTION; Chapter 2: DETERMINISTIC AND PROBABILISTIC FORECASTING; 2.1. MATHEMATICAL BACKGROUND OF PQPF; 2.2. NUMERICAL EXAMPLE OF PQPF; CONCLUSION; Chapter 3: STOCHASTIC MODELS; 3.1. ARMA MODELS; 3.2. MODEL-DRIVEN APPROACHES BASED ON MIXED DISTRIBUTIONS; 3.3. ARTIFICIAL NEURAL NETWORKS; CONCLUSION; Chapter 4: METEOROLOGICAL MODELS.

4.1. GOVERNING EQUATIONS4.2. CLASSIFICATION OF METEOROLOGICAL MODELS; 4.3. ERROR SOURCES; 4.4. ENSEMBLE PREDICTION SYSTEMS; 4.5. MM5MODEL; CONCLUSION; Chapter 5: COUPLED METEOROLOGICAL-STOCHASTIC MODELS; 5.1. STRUCTURE OF A BAYESIAN FORECASTING SYSTEM (BFS); 5.2. EXAMPLE OF A COUPLED MODEL: PRAISE-ME; CONCLUSION; Chapter 6: CONCLUSION; APPENDIX A. PROBABILITY DISTRIBUTIONS; A.1. BASIC CONCEPTS OF PROBABILITY; A.2. TYPE OF RANDOM VARIABLES AND PROPERTIESOF PDFS AND CDFS; A.3. FAST CHARACTERISTICS: THEORETICAL MOMENTS; A.4. LIST OF PROBABILITY DISTRIBUTIONS; APPENDIX B. STATISTICAL INFERENCE.

B.1. SAMPLE DATA ANALYSISB. 2. PARAMETER ESTIMATION; B.3. MODEL VALIDATION; B.4. REGRESSION; B.5. VALIDATION TESTS FOR META-GAUSSIAN MODEL; REFERENCES; INDEX.

eBooks on EBSCOhost EBSCO eBook Subscription Academic Collection - Worldwide