TY  - BOOK
AU  - Tabari, Hossein
TI  - Statistical Analysis and Stochastic Modelling of Hydrological Extremes
KW  - artificial neural network||downscaling||innovative methods||reservoir inflow forecasting||simulation||extreme events||climate variability||sparse monitoring network||weighted mean analogue||sampling errors||precipitation||drought indices||discrete wavelet||SWSI||hyetograph||trends||climate change||SIAP||Kabul river basin||Hurst exponent||extreme rainfall||evolutionary strategy||the Cauca River||hydrological drought||global warming||least square support vector regression||polynomial normal transform||TRMM||satellite data||Fiji||heavy storm||flood regime||compound events||random forest||uncertainty||seasonal climate forecast||INDC pledge||Pakistan||wavelet artificial neural network||HBV model||temperature||APCC Multi-Model Ensemble||meteorological drought||flow regime||high resolution||rainfall||clausius-clapeyron scaling||statistical downscaling||ENSO||forecasting||variation analogue||machine learning||extreme rainfall analysis||hydrological extremes||multivariate modeling||monsoon||non-stationary||support vector machine||ANN model||stretched Gaussian distribution||drought prediction||non-normality||statistical analysis||extreme precipitation exposure||drought analysis||extreme value theory||streamflow||flood management
UR  - https://mdpi.com/books/pdfview/book/1751
ER  -