Statistical downscaling for hydrological and environmental applications

Global 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 t...

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Bibliographic Details
Main Authors: Lee, Taesam (Author), Singh, V. P. (Author)
Format: Book
Language:English
Published: Boca Raton, FL CRC Press, Taylor & Francis Group 2019
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100 1 |a Lee, Taesam,  |e author. 
245 1 0 |a Statistical downscaling for hydrological and environmental applications  |c Taesam Lee and Vijay P. Singh. 
264 1 |a Boca Raton, FL  |b CRC Press, Taylor & Francis Group  |c 2019 
300 |a xv, 161 pages  |c 24 cm. 
336 |a text  |2 rdacontent 
337 |a unmediated  |2 rdamedia 
338 |a volume  |2 rdacarrier 
504 |a Includes bibliographical references and index. 
520 |a Global 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. 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. 
592 |a IV-100719  |b 23/07/2019  |c RM 477.73  |h Yuha Assoc. 
650 0 |a Hydrometeorology  |x Statistical methods. 
650 0 |a Multiscale modeling. 
700 1 |a Singh, V. P.,  |e author. 
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