Rainfall forecasting /:
Gespeichert in:
| Weitere Verfasser: | |
|---|---|
| Format: | Elektronisch E-Book |
| Sprache: | English |
| Veröffentlicht: |
New York :
Nova Science Publishers,
c2012.
|
| Schriftenreihe: | Hydrological science and engineering series.
|
| Schlagworte: | |
| Online-Zugang: | Volltext |
| Beschreibung: | 1 online resource. |
| Bibliographie: | Includes bibliographical references and index. |
| ISBN: | 9781619421387 1619421380 |
Internformat
MARC
| LEADER | 00000cam a2200000 i 4500 | ||
|---|---|---|---|
| 001 | ZDB-4-EBA-on1162242467 | ||
| 003 | OCoLC | ||
| 005 | 20240705115654.0 | ||
| 006 | m o d | ||
| 007 | cr ||||||||||| | ||
| 008 | 111108s2012 nyua ob 001 0 eng | ||
| 010 | |a 2020688087 | ||
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| 019 | |a 830324102 |a 923654583 | ||
| 020 | |a 9781619421387 |q ebook | ||
| 020 | |a 1619421380 | ||
| 020 | |z 1619421348 |q hardcover | ||
| 020 | |z 9781619421349 |q hardcover | ||
| 024 | 8 | |a 99955217267 | |
| 035 | |a (OCoLC)1162242467 |z (OCoLC)830324102 |z (OCoLC)923654583 | ||
| 042 | |a pcc | ||
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| 070 | |a QC925 |b .R235 2012 | ||
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| 082 | 7 | |a 551.64/77 |2 23 | |
| 049 | |a MAIN | ||
| 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 | 6 | |a Pluie. | |
| 650 | 6 | |a Précipitations (Météorologie) |x Prévision. | |
| 650 | 6 | |a Précipitations (Météorologie) |x Probabilités. | |
| 650 | 7 | |a rain. |2 aat | |
| 650 | 7 | |a NATURE |x Weather. |2 bisacsh | |
| 650 | 7 | |a SCIENCE |x Earth Sciences |x 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 | |
| 700 | 1 | |a Wong, Tommy S. W. | |
| 758 | |i has work: |a Rainfall Forecasting (Hydrological Science and Engineering) (Text) |1 https://id.oclc.org/worldcat/entity/E39PD3fXWQgYKwg3dB8k937v9C |4 https://id.oclc.org/worldcat/ontology/hasWork | ||
| 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 | |
| 856 | 1 | |l FWS01 |p ZDB-4-EBA |q FWS_PDA_EBA |u https://search.ebscohost.com/login.aspx?direct=true&scope=site&db=nlebk&AN=540881 |3 Volltext | |
| 856 | 1 | |l CBO01 |p ZDB-4-EBA |q FWS_PDA_EBA |u https://search.ebscohost.com/login.aspx?direct=true&scope=site&db=nlebk&AN=540881 |3 Volltext | |
| 938 | |a ProQuest Ebook Central |b EBLB |n EBL3017977 | ||
| 938 | |a EBSCOhost |b EBSC |n 540881 | ||
| 938 | |a YBP Library Services |b YANK |n 7252253 | ||
| 994 | |a 92 |b GEBAY | ||
| 912 | |a ZDB-4-EBA | ||
Datensatz im Suchindex
| DE-BY-FWS_katkey | ZDB-4-EBA-on1162242467 |
|---|---|
| _version_ | 1813901683242041344 |
| adam_text | |
| any_adam_object | |
| author2 | Wong, Tommy S. W. |
| author2_role | |
| author2_variant | t s w w tsw tsww |
| author_facet | Wong, Tommy S. W. |
| author_sort | Wong, Tommy S. W. |
| building | Verbundindex |
| bvnumber | localFWS |
| callnumber-first | Q - Science |
| callnumber-label | QC925 |
| callnumber-raw | QC925 |
| callnumber-search | QC925 |
| callnumber-sort | QC 3925 |
| callnumber-subject | QC - Physics |
| collection | ZDB-4-EBA |
| contents | ""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"" |
| ctrlnum | (OCoLC)1162242467 |
| dewey-full | 551.64/77 |
| dewey-hundreds | 500 - Natural sciences and mathematics |
| 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 | ZDB-4-EBA-on1162242467 |
| illustrated | Illustrated |
| indexdate | 2024-10-25T15:50:47Z |
| institution | BVB |
| isbn | 9781619421387 1619421380 |
| language | English |
| lccn | 2020688087 |
| oclc_num | 1162242467 |
| open_access_boolean | |
| owner | MAIN |
| owner_facet | MAIN |
| physical | 1 online resource. |
| psigel | ZDB-4-EBA |
| publishDate | 2012 |
| publishDateSearch | 2012 |
| publishDateSort | 2012 |
| publisher | Nova Science Publishers, |
| record_format | marc |
| series | Hydrological science and engineering series. |
| series2 | Hydrological science and engineering |
| spelling | Rainfall forecasting / Tommy S. W. Wong, editor. New York : Nova Science Publishers, c2012. 1 online resource. text txt rdacontent computer c rdamedia online resource cr rdacarrier Hydrological science and engineering Includes bibliographical references and index. Description based on print version record and cip data provided by publisher. ""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"" English. Rain and rainfall. http://id.loc.gov/authorities/subjects/sh85111188 Precipitation forecasting. http://id.loc.gov/authorities/subjects/sh85106222 Rainfall probabilities. http://id.loc.gov/authorities/subjects/sh85111218 Pluie. Précipitations (Météorologie) Prévision. Précipitations (Météorologie) Probabilités. rain. aat NATURE Weather. bisacsh SCIENCE Earth Sciences Meteorology & Climatology. bisacsh Precipitation forecasting fast Rain and rainfall fast Rainfall probabilities fast Wong, Tommy S. W. has work: Rainfall Forecasting (Hydrological Science and Engineering) (Text) https://id.oclc.org/worldcat/entity/E39PD3fXWQgYKwg3dB8k937v9C https://id.oclc.org/worldcat/ontology/hasWork Print version: Rainfall forecasting New York : Nova Science Publishers, c2012. 1619421348 (hardcover) (DLC) 2011042527 Hydrological science and engineering series. http://id.loc.gov/authorities/names/no2010104040 FWS01 ZDB-4-EBA FWS_PDA_EBA https://search.ebscohost.com/login.aspx?direct=true&scope=site&db=nlebk&AN=540881 Volltext CBO01 ZDB-4-EBA FWS_PDA_EBA https://search.ebscohost.com/login.aspx?direct=true&scope=site&db=nlebk&AN=540881 Volltext |
| spellingShingle | Rainfall forecasting / Hydrological science and engineering series. ""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"" Rain and rainfall. http://id.loc.gov/authorities/subjects/sh85111188 Precipitation forecasting. http://id.loc.gov/authorities/subjects/sh85106222 Rainfall probabilities. http://id.loc.gov/authorities/subjects/sh85111218 Pluie. Précipitations (Météorologie) Prévision. Précipitations (Météorologie) Probabilités. rain. aat NATURE Weather. bisacsh SCIENCE Earth Sciences Meteorology & Climatology. bisacsh Precipitation forecasting fast Rain and rainfall fast Rainfall probabilities fast |
| subject_GND | http://id.loc.gov/authorities/subjects/sh85111188 http://id.loc.gov/authorities/subjects/sh85106222 http://id.loc.gov/authorities/subjects/sh85111218 |
| title | Rainfall forecasting / |
| title_auth | Rainfall forecasting / |
| title_exact_search | Rainfall forecasting / |
| title_full | Rainfall forecasting / Tommy S. W. Wong, editor. |
| title_fullStr | Rainfall forecasting / Tommy S. W. Wong, editor. |
| title_full_unstemmed | Rainfall forecasting / Tommy S. W. Wong, editor. |
| title_short | Rainfall forecasting / |
| title_sort | rainfall forecasting |
| topic | Rain and rainfall. http://id.loc.gov/authorities/subjects/sh85111188 Precipitation forecasting. http://id.loc.gov/authorities/subjects/sh85106222 Rainfall probabilities. http://id.loc.gov/authorities/subjects/sh85111218 Pluie. Précipitations (Météorologie) Prévision. Précipitations (Météorologie) Probabilités. rain. aat NATURE Weather. bisacsh SCIENCE Earth Sciences Meteorology & Climatology. bisacsh Precipitation forecasting fast Rain and rainfall fast Rainfall probabilities fast |
| topic_facet | Rain and rainfall. Precipitation forecasting. Rainfall probabilities. Pluie. Précipitations (Météorologie) Prévision. Précipitations (Météorologie) Probabilités. rain. NATURE Weather. SCIENCE Earth Sciences Meteorology & Climatology. Precipitation forecasting Rain and rainfall Rainfall probabilities |
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| work_keys_str_mv | AT wongtommysw rainfallforecasting |