000 aam a22 4500
999 _c211941
008 190509b2019 ||||| |||| 00| 0 eng d
020 _a9781138625969
082 _a551.570727
100 _aLee, Taesam
245 _aStatistical downscaling for hydrological and environmental applications
260 _bCRC Press
_aBoca Raton
300 _axv, 161 p.
504 _aTable of Contents 1. Introduction 2. Statistical Background 3. Data and Format Description 4. Bias Correction 5. Regression Downscalings 6. Weather Generator Downscaling 7. Weather-Type Downscaling 8. Temporal Downscaling 9. Spatial Downscaling
520 _aGlobal climate change is typically understood and modeled using global climate models (GCMs), but the outputs of these models in terms of hydrological variables are only available on coarse or large spatial and time scales, while finer spatial and temporal resolutions are needed to reliably assess the hydro-environmental impacts of climate change. To reliably obtain the required resolutions of hydrological variables, statistical downscaling is typically employed. Statistical Downscaling for Hydrological and Environmental Applications presents statistical downscaling techniques in a practical manner so that both students and practitioners can readily utilize them. Numerous methods are presented, and all are illustrated with practical examples. The book is written so that no prior background in statistics is needed, and it will be useful to graduate students, college faculty, and researchers in hydrology, hydroclimatology, agricultural and environmental sciences, and watershed management. It will also be of interest to environmental policymakers at the local, state, and national levels, as well as readers interested in climate change and its related hydrologic impacts. https://www.crcpress.com/Statistical-Downscaling-for-Hydrological-and-Environmental-Applications/Lee-Singh/p/book/9781138625969
650 _aHydrometeorology
650 _aHydrometeorology - Statistical methods
650 _aMultiscale modeling
650 _aDownscaling
700 _aSingh, Vijay P.
_eCo author
942 _2ddc