Keywords:
Hydrometeorology-Statistical methods.
;
Multiscale modeling.
;
Electronic books.
Description / Table of Contents:
This book presents statistical downscaling techniques in a practical manner so that readers can easily adopt the techniques for hydrological applications and designs in response to climate change. It also provides numerous examples and background information on reliability of impact assessments of climate change and what the results imply.
Type of Medium:
Online Resource
Pages:
1 online resource (179 pages)
Edition:
1st ed.
ISBN:
9780429861154
URL:
https://ebookcentral.proquest.com/lib/geomar/detail.action?docID=5509988
DDC:
551.570727
Language:
English
Note:
Cover -- Half Title -- Title Page -- Copyright Page -- Dedication -- Contents -- Preface -- List of Abbreviations -- Authors -- Chapter 1 Introduction -- 1.1 Why Statistical Downscaling? -- 1.2 Climate Models -- 1.3 Statistical Downscaling -- 1.4 Selection of Model Scheme -- 1.5 Structure of Chapters -- 1.6 Summary and Conclusion -- Chapter 2 Statistical Background -- 2.1 Probability and Statistics -- 2.1.1 Probabilistic Theory -- 2.1.1.1 Probability Density Function and Cumulative Distribution Function -- 2.1.1.2 Descriptors of Random Variables -- 2.1.2 Discrete Probability Distributions -- 2.1.2.1 Bernoulli Distribution -- 2.1.2.2 Binomial Distribution -- 2.1.3 Continuous Probability Distributions -- 2.1.3.1 Normal Distribution and Lognormal Distributions -- 2.1.3.2 Exponential and Gamma Distributions -- 2.1.3.3 Generalized Extreme Value and Gumbel Distribution -- 2.1.4 Parameter Estimation for Probability Distributions -- 2.1.4.1 Method of Moments -- 2.1.4.2 Maximum Likelihood Estimation -- 2.1.5 Histogram and Empirical Distribution -- 2.2 Multivariate Random Variables -- 2.2.1 Multivariate Normal Distribution and Its Conditional Distribution -- 2.2.2 Covariance and Correlation -- 2.3 Random Simulation -- 2.3.1 Monte Carlo Simulation and Uniform Random Number -- 2.3.2 Simulation of Probability Distributions -- 2.4 Metaheuristic Algorithm -- 2.4.1 Harmony Search -- 2.5 Summary and Conclusion -- Chapter 3 Data and Format Description -- 3.1 GCM Data -- 3.2 Reanalysis Data -- 3.3 RCM Data -- 3.4 Summary and Conclusion -- Chapter 4 Bias Correction -- 4.1 Why Bias Correction? -- 4.2 Occurrence Adjustment for Precipitation Data -- 4.3 Empirical Adjustment (Delta Method) -- 4.4 Quantile Mapping -- 4.4.1 General Quantile Mapping -- 4.4.2 Nonparametric Quantile Mapping -- 4.4.3 Quantile Delta Mapping -- 4.5 Summary and Comparison.
,
Chapter 5 Regression Downscalings -- 5.1 Linear Regression Based Downscaling -- 5.1.1 Simple Linear Regression -- 5.1.1.1 Significance Test -- 5.1.2 Multiple Linear Regression -- 5.2 Predictor Selection -- 5.2.1 Stepwise Regression -- 5.2.2 Least Absolute Shrinkage and Selection Operator -- 5.3 Nonlinear Regression Modeling -- 5.3.1 Artificial Neural Network -- 5.4 Summary and Conclusion -- Chapter 6 Weather Generator Downscaling -- 6.1 Mathematical Background -- 6.1.1 Autoregressive Models -- 6.1.2 Multivariate Autoregressive Model -- 6.1.3 Markov Chain -- 6.2 Weather Generator -- 6.2.1 Model Fitting -- 6.2.1.1 Precipitation -- 6.2.1.2 Weather Variables (T[sub(max)], T[sub(min)], SR) -- 6.2.2 Simulation of Weather Variables -- 6.2.2.1 Precipitation -- 6.2.2.2 Weather Variables (T[sub(max)], T[sub(min)], SR) -- 6.2.3 Implementation of Downscaling -- 6.3 Nonparametric Weather Generator -- 6.3.1 Simulation under Current Climate -- 6.3.2 Simulation under Future Climate Scenarios -- 6.4 Summary and Conclusion -- Chapter 7 Weather-Type Downscaling -- 7.1 Classification of Weather Types -- 7.1.1 Empirical Weather Type -- 7.1.2 Objective Weather Type -- 7.2 Generation of Daily Rainfall Sequences -- 7.3 Future Climate with Weather-Type Downscaling -- 7.4 Summary and Conclusion -- Chapter 8 Temporal Downscaling -- 8.1 Background -- 8.1.1 K-Nearest Neighbor Resampling -- 8.2 Daily to Hourly Downscaling -- 8.3 Summary and Conclusion -- Chapter 9 Spatial Downscaling -- 9.1 Mathematical Background -- 9.1.1 Bilinear Interpolation -- 9.1.2 Nearest Neighbor Interpolation -- 9.2 Bias Correction and Spatial Downscaling -- 9.3 Bias Correction and Constructed Analogues -- 9.4 Bias Correction and Stochastic Analogue -- 9.5 Summary and Comparison -- References -- Index.
