Rainfall forecasting /
Saved in:
| Imprint: | New York : Nova Science Publishers, c2012. |
|---|---|
| Description: | 1 online resource. |
| Language: | English |
| Series: | Hydrological science and engineering Hydrological science and engineering series. |
| Subject: | |
| Format: | E-Resource Book |
| URL for this record: | http://pi.lib.uchicago.edu/1001/cat/bib/11176161 |
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| 020 | |z 9781619421349 |q hardcover | ||
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| 072 | 7 | |a NAT |x 036000 |2 bisacsh | |
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| 245 | 0 | 0 | |a Rainfall forecasting / |c Tommy S. W. Wong, editor. |
| 264 | 1 | |a New York : |b Nova Science Publishers, |c c2012. | |
| 300 | |a 1 online resource. | ||
| 336 | |a text |b txt |2 rdacontent | ||
| 337 | |a computer |b c |2 rdamedia | ||
| 338 | |a online resource |b cr |2 rdacarrier | ||
| 490 | 1 | |a Hydrological science and engineering | |
| 504 | |a Includes bibliographical references and index. | ||
| 588 | |a Description based on print version record and cip data provided by publisher. | ||
| 505 | 0 | |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"" | |
| 505 | 8 | |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"" | |
| 505 | 8 | |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"" | |
| 505 | 8 | |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"" | |
| 505 | 8 | |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"" | |
| 546 | |a English. | ||
| 650 | 0 | |a Rain and rainfall. |0 http://id.loc.gov/authorities/subjects/sh85111188 | |
| 650 | 0 | |a Precipitation forecasting. |0 http://id.loc.gov/authorities/subjects/sh85106222 | |
| 650 | 0 | |a Rainfall probabilities. |0 http://id.loc.gov/authorities/subjects/sh85111218 | |
| 650 | 7 | |a Precipitation forecasting. |2 fast |0 (OCoLC)fst01074948 | |
| 650 | 7 | |a Rain and rainfall. |2 fast |0 (OCoLC)fst01089410 | |
| 650 | 7 | |a Rainfall probabilities. |2 fast |0 (OCoLC)fst01089569 | |
| 650 | 7 | |a NATURE |x Weather. |2 bisacsh | |
| 650 | 7 | |a SCIENCE |x Earth Sciences |x Meteorology & Climatology. |2 bisacsh | |
| 655 | 4 | |a Electronic books. | |
| 655 | 0 | |a Electronic books. | |
| 700 | 1 | |a Wong, Tommy S. W. | |
| 776 | 0 | 8 | |i Print version: |t Rainfall forecasting |d New York : Nova Science Publishers, c2012. |z 1619421348 (hardcover) |w (DLC) 2011042527 |
| 830 | 0 | |a Hydrological science and engineering series. |0 http://id.loc.gov/authorities/names/no2010104040 | |
| 903 | |a HeVa | ||
| 929 | |a oclccm | ||
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| 928 | |t Library of Congress classification |a QC925 |l Online |c UC-FullText |u https://search.ebscohost.com/login.aspx?direct=true&scope=site&db=e000xna&AN=540881 |z eBooks on EBSCOhost |g ebooks |i 12476138 | ||