Empirical-statistical Downscaling - read free eBook in online reader or directly download on the web page. Select files or add your book in reader. Download and read online ebook Empirical-statistical Downscaling write by Benestad Rasmus E. This book was released on 2008-09-23. Empirical-statistical Downscaling available in PDF, EPUB and Kindle. Empirical-statistical downscaling (ESD) is a method for estimating how local climatic variables are affected by large-scale climatic conditions. ESD has been applied to local climate/weather studies for years, but there are few — if any — textbooks on the subject. It is also anticipated that ESD will become more important and commonplace in the future, as anthropogenic global warming proceeds. Thus, a textbook on ESD will be important for next-generation climate scientists.
Empirical-statistical Downscaling
Empirical-statistical Downscaling - read free eBook in online reader or directly download on the web page. Select files or add your book in reader. Download and read online ebook Empirical-statistical Downscaling write by Rasmus E. Benestad. This book was released on 2008. Empirical-statistical Downscaling available in PDF, EPUB and Kindle. Empirical-statistical downscaling (ESD) is a method for estimating how local climatic variables are affected by large-scale climatic conditions. ESD has been applied to local climate/weather studies for years, but there are few ? if any ? textbooks on the subject. It is also anticipated that ESD will become more important and commonplace in the future, as anthropogenic global warming proceeds. Thus, a textbook on ESD will be important for next-generation climate scientists.
Downscaling Techniques for High-Resolution Climate Projections
Downscaling Techniques for High-Resolution Climate Projections - read free eBook in online reader or directly download on the web page. Select files or add your book in reader. Download and read online ebook Downscaling Techniques for High-Resolution Climate Projections write by Rao Kotamarthi. This book was released on 2021-02-11. Downscaling Techniques for High-Resolution Climate Projections available in PDF, EPUB and Kindle. Downscaling is a widely used technique for translating information from large-scale climate models to the spatial and temporal scales needed to assess local and regional climate impacts, vulnerability, risk and resilience. This book is a comprehensive guide to the downscaling techniques used for climate data. A general introduction of the science of climate modeling is followed by a discussion of techniques, models and methodologies used for producing downscaled projections, and the advantages, disadvantages and uncertainties of each. The book provides detailed information on dynamic and statistical downscaling techniques in non-technical language, as well as recommendations for selecting suitable downscaled datasets for different applications. The use of downscaled climate data in national and international assessments is also discussed using global examples. This is a practical guide for graduate students and researchers working on climate impacts and adaptation, as well as for policy makers and practitioners interested in climate risk and resilience.
Statistical Downscaling and Bias Correction for Climate Research
Statistical Downscaling and Bias Correction for Climate Research - read free eBook in online reader or directly download on the web page. Select files or add your book in reader. Download and read online ebook Statistical Downscaling and Bias Correction for Climate Research write by Douglas Maraun. This book was released on 2018-01-18. Statistical Downscaling and Bias Correction for Climate Research available in PDF, EPUB and Kindle. A comprehensive and practical guide, providing technical background and user context for researchers, graduate students, practitioners and decision makers. This book presents the main approaches and describes their underlying assumptions, skill and limitations. Guidelines for the application of downscaling and the use of downscaled information in practice complete the volume.
Statistical Downscaling for Hydrological and Environmental Applications
Statistical Downscaling for Hydrological and Environmental Applications - read free eBook in online reader or directly download on the web page. Select files or add your book in reader. Download and read online ebook Statistical Downscaling for Hydrological and Environmental Applications write by Taesam Lee. This book was released on 2018. Statistical Downscaling for Hydrological and Environmental Applications available in PDF, EPUB and Kindle. 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. 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. Features: Examines how to model hydrological events such as extreme rainfall, floods, and droughts at the local, watershed level. Explains how to properly correct for significant biases with the observational data normally found in current Global Climate Models (GCMs). Presents temporal downscaling from daily to hourly with a nonparametric approach. Discusses the myriad effects of climate change on hydrological processes.
