000 03982cam a2200637 a 4500
001 ocn841809668
003 OCoLC
005 20220711200304.0
006 m o d
007 cr cnu---unuuu
008 130506s2013 nyu ob 001 0 eng d
040 _aN$T
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019 _a840895413
020 _a9781624170287
_q(electronic bk.)
020 _a1624170285
_q(electronic bk.)
020 _z9781622578054
020 _z1622578058
029 1 _aAU@
_b000062325373
029 1 _aDEBBG
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029 1 _aDEBSZ
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029 1 _aDEBSZ
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035 _a(OCoLC)841809668
_z(OCoLC)840895413
050 4 _aQC997.75
_b.D42 2013eb
072 7 _aNAT
_x036000
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072 7 _aSCI
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082 0 4 _a551.64/77
_223
049 _aMAIN
100 1 _aDe Luca, Davide Luciano.
_9943390
245 1 0 _aRainfall nowcasting models for early warning systems /
_cDavide Luciano De Luca (Department of Soil Conservation, University of Calabria, Italy).
260 _aHauppauge, New York :
_bNova Science Publishers, Inc.,
_c2013.
300 _a1 online resource
336 _atext
_btxt
_2rdacontent
337 _acomputer
_bc
_2rdamedia
338 _aonline resource
_bcr
_2rdacarrier
504 _aIncludes bibliographical references and index.
588 0 _aPrint version record.
505 0 _aRAINFALL 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.
505 8 _a4.1. 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.
505 8 _aB.1. SAMPLE DATA ANALYSISB. 2. PARAMETER ESTIMATION; B.3. MODEL VALIDATION; B.4. REGRESSION; B.5. VALIDATION TESTS FOR META-GAUSSIAN MODEL; REFERENCES; INDEX.
590 _aeBooks on EBSCOhost
_bEBSCO eBook Subscription Academic Collection - Worldwide
650 0 _aNowcasting (Meteorology)
_9943391
650 0 _aRain and rainfall
_xMathematical models.
_943833
650 7 _aNATURE
_xWeather.
_2bisacsh
_9868403
650 7 _aSCIENCE
_xEarth Sciences
_xMeteorology & Climatology.
_2bisacsh
_9868404
650 7 _aNowcasting (Meteorology)
_2fast
_0(OCoLC)fst01039820
_9943391
650 7 _aRain and rainfall
_xMathematical models.
_2fast
_0(OCoLC)fst01089422
_943833
655 4 _aElectronic books.
655 4 _a7
_aElectronic books.
_9848615
776 0 8 _iPrint version:
_aDe Luca, Davide Luciano.
_tRainfall nowcasting models for early warning systems.
_dHauppauge, New York : Nova Science Publishers, Inc., 2013
_z9781622578054
_w(DLC) 2012038026
_w(OCoLC)820781043
856 4 0 _uhttps://search.ebscohost.com/login.aspx?direct=true&scope=site&db=nlebk&AN=571611
938 _aProQuest Ebook Central
_bEBLB
_nEBL3022079
938 _aebrary
_bEBRY
_nebr10686623
938 _aEBSCOhost
_bEBSC
_n571611
938 _aYBP Library Services
_bYANK
_n10578300
994 _a92
_bINOPJ
999 _c2752093
_d2752093