Rainfall forecasting:
Gespeichert in:
| Format: | Elektronisch E-Book |
|---|---|
| Sprache: | English |
| Veröffentlicht: |
New York
Nova Science Publishers
©2012
|
| Schriftenreihe: | Hydrological science and engineering series
|
| Schlagworte: | |
| Online-Zugang: | FAW01 FAW02 |
| Beschreibung: | Includes bibliographical references and index ""RAINFALL FORECASTING""; ""HYDROLOGICAL SCIENCEAND ENGINEERING""; ""Library of Congress Cataloging-in-Publication Data""; ""CONTENTS""; ""PREFACE""; ""STATISTICAL DOWNSCALING FOR SHORTTERM QUANTITATIVE PRECIPITATIONFORECASTING: SOME ACHIEVEMENTS ANDLONG TRAIL AHEAD""; ""ABSTRACT""; ""INTRODUCTION""; ""DATA""; ""METHODOLOGY""; ""Classification Techniques (SOM) Applied to Study theRelationship between Lightning and Rainfall""; ""Deterministic Statistical Downscaling by Means of Analogues""; ""Deterministic Statistical Downscalingby Means of Neural Networks"" ""Use of Random Forest for Daily Rainfall Forecast""""Probabilistic Rainfall Forecasts Using Analogues""; ""RESULTS""; ""Lightning and Rainfall""; ""Deterministic QPF at Short Range (6 Hours)""; ""Probabilistic QPF at Short Range (6 Hours)""; ""Downscaling of Daily Precipitation at the Ebro Valley""; ""CONCLUSION""; ""REFERENCES""; ""EMPIRICAL APPROACHES IN LONG-TERMRAINFALL FORECASTING""; ""ABSTRACT""; ""LIST OF ABBREVIATIONS""; ""1. INTRODUCTION""; ""1.1. Historical Perspectives""; ""1.2. Types in Forecasting""; ""1.3. Steps in Forecasting"" ""2. MATHEMATICAL AND STATISTICALMETHODS IN FORECASTING""""2.1. Time Series""; ""2.1.1. Trend""; ""2.1.2. Seasonality""; ""2.1.3. Cyclic""; ""2.1.4. Scatter Plot""; ""2.1.5. Simple Moving Average""; ""2.2. Basic Quantitative Statistics""; ""2.2.1. Mean (Y)""; ""2.2.2. Median""; ""2.2.3. Mean Squared Deviation (MSD)""; ""2.2.4. Standard Deviation (Ï?""; ""2.2.5. Variance (Ï?2)""; ""2.2.6. Covariance (Covxy)""; ""2.2.7. Correlation Coefficient (rxy)""; ""2.2.8. Autocorrelation (rj)""; ""2.2.9. Autocorrelation Function (ACF)""; ""2.2.10. Least Square Estimate"" ""2.2.11. Transformations of the Data Series""""3. TIME FIELD QUANTITATIVEFORECASTING TECHNIQUES""; ""3.1. Linear Methods""; ""3.1.1. Linear Regression (LR)""; ""3.1.1.1. Relation with Correlation Coefficient (rxy)""; ""3.1.1.2. Evaluating the Regression""; ""3.1.1.3. Residuals (e)""; ""3.1.1.4. Coefficient of Determination (R2)""; ""3.1.1.5. F-test""; ""3.1.1.6. Confidence Intervals of Regression Coefficients""; ""3.1.1.7. t-test""; ""3.1.1.8. Assessing Performance of Regression Model""; ""3.1.2. Multiple Linear Regression (MLR)""; ""3.1.2.1. Physical Linkage and Formation of Indices"" ""3.1.2.2. Selecting Candidate Predictor Set""""3.1.2.3. Procedure for Selecting the Variables for Regression""; ""3.1.2.4. Multicolliearity""; ""3.1.2.5. Development of Regression Model""; ""3.1.2.6. Regression Coefficients""; ""3.1.2.7. Training and Test Period""; ""3.1.2.8. F-test""; ""3.1.2.9. t-test""; ""3.1.2.10. Assumptions in Multiple Linear Regression Models""; ""3.1.2.11. Durbin Watson (DW)""; ""3.1.2.12. Assessment of Model""; ""3.1.3. Autoregressive Integrated MovingAverage (ARIMA) Model""; ""3.1.3.1. Concepts and Tools in Time Series Analysis""; ""3.1.3.2. Backshift Operator"" |
| Beschreibung: | xii, 283 pages |
| ISBN: | 9781619421387 1619421380 9781619421349 1619421348 |
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| 245 | 1 | 0 | |a Rainfall forecasting |c Tommy Wong, editor |
| 264 | 1 | |a New York |b Nova Science Publishers |c ©2012 | |
| 300 | |a xii, 283 pages | ||
| 336 | |b txt |2 rdacontent | ||
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| 490 | 0 | |a Hydrological science and engineering series | |
| 500 | |a Includes bibliographical references and index | ||
| 500 | |a ""RAINFALL FORECASTING""; ""HYDROLOGICAL SCIENCEAND ENGINEERING""; ""Library of Congress Cataloging-in-Publication Data""; ""CONTENTS""; ""PREFACE""; ""STATISTICAL DOWNSCALING FOR SHORTTERM QUANTITATIVE PRECIPITATIONFORECASTING: SOME ACHIEVEMENTS ANDLONG TRAIL AHEAD""; ""ABSTRACT""; ""INTRODUCTION""; ""DATA""; ""METHODOLOGY""; ""Classification Techniques (SOM) Applied to Study theRelationship between Lightning and Rainfall""; ""Deterministic Statistical Downscaling by Means of Analogues""; ""Deterministic Statistical Downscalingby Means of Neural Networks"" | ||
| 500 | |a ""Use of Random Forest for Daily Rainfall Forecast""""Probabilistic Rainfall Forecasts Using Analogues""; ""RESULTS""; ""Lightning and Rainfall""; ""Deterministic QPF at Short Range (6 Hours)""; ""Probabilistic QPF at Short Range (6 Hours)""; ""Downscaling of Daily Precipitation at the Ebro Valley""; ""CONCLUSION""; ""REFERENCES""; ""EMPIRICAL APPROACHES IN LONG-TERMRAINFALL FORECASTING""; ""ABSTRACT""; ""LIST OF ABBREVIATIONS""; ""1. INTRODUCTION""; ""1.1. Historical Perspectives""; ""1.2. Types in Forecasting""; ""1.3. Steps in Forecasting"" | ||
| 500 | |a ""2. MATHEMATICAL AND STATISTICALMETHODS IN FORECASTING""""2.1. Time Series""; ""2.1.1. Trend""; ""2.1.2. Seasonality""; ""2.1.3. Cyclic""; ""2.1.4. Scatter Plot""; ""2.1.5. Simple Moving Average""; ""2.2. Basic Quantitative Statistics""; ""2.2.1. Mean (Y)""; ""2.2.2. Median""; ""2.2.3. Mean Squared Deviation (MSD)""; ""2.2.4. Standard Deviation (Ï?""; ""2.2.5. Variance (Ï?2)""; ""2.2.6. Covariance (Covxy)""; ""2.2.7. Correlation Coefficient (rxy)""; ""2.2.8. Autocorrelation (rj)""; ""2.2.9. Autocorrelation Function (ACF)""; ""2.2.10. Least Square Estimate"" | ||
| 500 | |a ""2.2.11. Transformations of the Data Series""""3. TIME FIELD QUANTITATIVEFORECASTING TECHNIQUES""; ""3.1. Linear Methods""; ""3.1.1. Linear Regression (LR)""; ""3.1.1.1. Relation with Correlation Coefficient (rxy)""; ""3.1.1.2. Evaluating the Regression""; ""3.1.1.3. Residuals (e)""; ""3.1.1.4. Coefficient of Determination (R2)""; ""3.1.1.5. F-test""; ""3.1.1.6. Confidence Intervals of Regression Coefficients""; ""3.1.1.7. t-test""; ""3.1.1.8. Assessing Performance of Regression Model""; ""3.1.2. Multiple Linear Regression (MLR)""; ""3.1.2.1. Physical Linkage and Formation of Indices"" | ||
| 500 | |a ""3.1.2.2. Selecting Candidate Predictor Set""""3.1.2.3. Procedure for Selecting the Variables for Regression""; ""3.1.2.4. Multicolliearity""; ""3.1.2.5. Development of Regression Model""; ""3.1.2.6. Regression Coefficients""; ""3.1.2.7. Training and Test Period""; ""3.1.2.8. F-test""; ""3.1.2.9. t-test""; ""3.1.2.10. Assumptions in Multiple Linear Regression Models""; ""3.1.2.11. Durbin Watson (DW)""; ""3.1.2.12. Assessment of Model""; ""3.1.3. Autoregressive Integrated MovingAverage (ARIMA) Model""; ""3.1.3.1. Concepts and Tools in Time Series Analysis""; ""3.1.3.2. Backshift Operator"" | ||
| 650 | 4 | |a Precipitation forecasting | |
| 650 | 4 | |a Rain and rainfall | |
| 650 | 4 | |a Rainfall probabilities | |
| 650 | 7 | |a NATURE / Weather |2 bisacsh | |
| 650 | 7 | |a SCIENCE / Earth Sciences / Meteorology & Climatology |2 bisacsh | |
| 650 | 7 | |a Precipitation forecasting |2 fast | |
| 650 | 7 | |a Rain and rainfall |2 fast | |
| 650 | 7 | |a Rainfall probabilities |2 fast | |
| 650 | 4 | |a Geowissenschaften | |
| 650 | 4 | |a Rain and rainfall | |
| 650 | 4 | |a Precipitation forecasting | |
| 650 | 4 | |a Rainfall probabilities | |
| 700 | 1 | |a Wong, Tommy S. W. |e Sonstige |4 oth | |
| 912 | |a ZDB-4-EBA | ||
| 999 | |a oai:aleph.bib-bvb.de:BVB01-029186059 | ||
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Datensatz im Suchindex
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| dewey-ones | 551 - Geology, hydrology, meteorology |
| dewey-raw | 551.64/77 |
| dewey-search | 551.64/77 |
| dewey-sort | 3551.64 277 |
| dewey-tens | 550 - Earth sciences |
| discipline | Geologie / Paläontologie |
| format | Electronic eBook |
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| id | DE-604.BV043775000 |
| illustrated | Not Illustrated |
| indexdate | 2024-07-10T07:34:46Z |
| institution | BVB |
| isbn | 9781619421387 1619421380 9781619421349 1619421348 |
| language | English |
| oai_aleph_id | oai:aleph.bib-bvb.de:BVB01-029186059 |
| oclc_num | 830324102 |
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| owner | DE-1046 DE-1047 |
| owner_facet | DE-1046 DE-1047 |
| physical | xii, 283 pages |
| psigel | ZDB-4-EBA ZDB-4-EBA FAW_PDA_EBA |
| publishDate | 2012 |
| publishDateSearch | 2012 |
| publishDateSort | 2012 |
| publisher | Nova Science Publishers |
| record_format | marc |
| series2 | Hydrological science and engineering series |
| spelling | Rainfall forecasting Tommy Wong, editor New York Nova Science Publishers ©2012 xii, 283 pages txt rdacontent c rdamedia cr rdacarrier Hydrological science and engineering series Includes bibliographical references and index ""RAINFALL FORECASTING""; ""HYDROLOGICAL SCIENCEAND ENGINEERING""; ""Library of Congress Cataloging-in-Publication Data""; ""CONTENTS""; ""PREFACE""; ""STATISTICAL DOWNSCALING FOR SHORTTERM QUANTITATIVE PRECIPITATIONFORECASTING: SOME ACHIEVEMENTS ANDLONG TRAIL AHEAD""; ""ABSTRACT""; ""INTRODUCTION""; ""DATA""; ""METHODOLOGY""; ""Classification Techniques (SOM) Applied to Study theRelationship between Lightning and Rainfall""; ""Deterministic Statistical Downscaling by Means of Analogues""; ""Deterministic Statistical Downscalingby Means of Neural Networks"" ""Use of Random Forest for Daily Rainfall Forecast""""Probabilistic Rainfall Forecasts Using Analogues""; ""RESULTS""; ""Lightning and Rainfall""; ""Deterministic QPF at Short Range (6 Hours)""; ""Probabilistic QPF at Short Range (6 Hours)""; ""Downscaling of Daily Precipitation at the Ebro Valley""; ""CONCLUSION""; ""REFERENCES""; ""EMPIRICAL APPROACHES IN LONG-TERMRAINFALL FORECASTING""; ""ABSTRACT""; ""LIST OF ABBREVIATIONS""; ""1. INTRODUCTION""; ""1.1. Historical Perspectives""; ""1.2. Types in Forecasting""; ""1.3. Steps in Forecasting"" ""2. MATHEMATICAL AND STATISTICALMETHODS IN FORECASTING""""2.1. Time Series""; ""2.1.1. Trend""; ""2.1.2. Seasonality""; ""2.1.3. Cyclic""; ""2.1.4. Scatter Plot""; ""2.1.5. Simple Moving Average""; ""2.2. Basic Quantitative Statistics""; ""2.2.1. Mean (Y)""; ""2.2.2. Median""; ""2.2.3. Mean Squared Deviation (MSD)""; ""2.2.4. Standard Deviation (Ï?""; ""2.2.5. Variance (Ï?2)""; ""2.2.6. Covariance (Covxy)""; ""2.2.7. Correlation Coefficient (rxy)""; ""2.2.8. Autocorrelation (rj)""; ""2.2.9. Autocorrelation Function (ACF)""; ""2.2.10. Least Square Estimate"" ""2.2.11. Transformations of the Data Series""""3. TIME FIELD QUANTITATIVEFORECASTING TECHNIQUES""; ""3.1. Linear Methods""; ""3.1.1. Linear Regression (LR)""; ""3.1.1.1. Relation with Correlation Coefficient (rxy)""; ""3.1.1.2. Evaluating the Regression""; ""3.1.1.3. Residuals (e)""; ""3.1.1.4. Coefficient of Determination (R2)""; ""3.1.1.5. F-test""; ""3.1.1.6. Confidence Intervals of Regression Coefficients""; ""3.1.1.7. t-test""; ""3.1.1.8. Assessing Performance of Regression Model""; ""3.1.2. Multiple Linear Regression (MLR)""; ""3.1.2.1. Physical Linkage and Formation of Indices"" ""3.1.2.2. Selecting Candidate Predictor Set""""3.1.2.3. Procedure for Selecting the Variables for Regression""; ""3.1.2.4. Multicolliearity""; ""3.1.2.5. Development of Regression Model""; ""3.1.2.6. Regression Coefficients""; ""3.1.2.7. Training and Test Period""; ""3.1.2.8. F-test""; ""3.1.2.9. t-test""; ""3.1.2.10. Assumptions in Multiple Linear Regression Models""; ""3.1.2.11. Durbin Watson (DW)""; ""3.1.2.12. Assessment of Model""; ""3.1.3. Autoregressive Integrated MovingAverage (ARIMA) Model""; ""3.1.3.1. Concepts and Tools in Time Series Analysis""; ""3.1.3.2. Backshift Operator"" Precipitation forecasting Rain and rainfall Rainfall probabilities NATURE / Weather bisacsh SCIENCE / Earth Sciences / Meteorology & Climatology bisacsh Precipitation forecasting fast Rain and rainfall fast Rainfall probabilities fast Geowissenschaften Wong, Tommy S. W. Sonstige oth |
| spellingShingle | Rainfall forecasting Precipitation forecasting Rain and rainfall Rainfall probabilities NATURE / Weather bisacsh SCIENCE / Earth Sciences / Meteorology & Climatology bisacsh Precipitation forecasting fast Rain and rainfall fast Rainfall probabilities fast Geowissenschaften |
| title | Rainfall forecasting |
| title_auth | Rainfall forecasting |
| title_exact_search | Rainfall forecasting |
| title_full | Rainfall forecasting Tommy Wong, editor |
| title_fullStr | Rainfall forecasting Tommy Wong, editor |
| title_full_unstemmed | Rainfall forecasting Tommy Wong, editor |
| title_short | Rainfall forecasting |
| title_sort | rainfall forecasting |
| topic | Precipitation forecasting Rain and rainfall Rainfall probabilities NATURE / Weather bisacsh SCIENCE / Earth Sciences / Meteorology & Climatology bisacsh Precipitation forecasting fast Rain and rainfall fast Rainfall probabilities fast Geowissenschaften |
| topic_facet | Precipitation forecasting Rain and rainfall Rainfall probabilities NATURE / Weather SCIENCE / Earth Sciences / Meteorology & Climatology Geowissenschaften |
| work_keys_str_mv | AT wongtommysw rainfallforecasting |