9783848488438 - Climate Change and Hydrological Systems: Some Recent Advances in Statistical Downscaling di Hashmi, Muhammad Zia Ur Rahman; Shamseldin, Asaad; Melville, Bruce (5 risultati)

Taschenbuch. Condizione: Neu. Neuware -Global Circulation Models (GCMs) are a major tool used for climate change projections under different emission scenarios. However, for assessing the hydrological impacts of climate change at watershed scale, GCM outputs cannot be used directly owing to the mismatch in spatial resolution between the GCMs and hydrological models. Thus a downscaling scheme (either statistical or dynamical) is employed. For hydrologic impact assessment studies, statistical downscaling is usually preferred over dynamical downscaling and among the variables usually downscaled, precipitation downscaling is more challenging than downscaling of other climatological variables. Therefore, this book is specifically focusing on addressing some of the contemporary issues in statistically downscaling of precipitation at watershed scale. Studies presented in this book make use of two widely used downscaling methods i.e. multiple linear regression and stochastic weather generator. Also, a new downscaling methodology using Gene Expression Programming (GEP) has been proposed. The issues discussed and analyzed in this book will facilitate further research in the area of statistical downscaling for hydrologic studies.Books on Demand GmbH, Überseering 33, 22297 Hamburg 252 pp. Englisch.

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Taschenbuch. Condizione: Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -Global Circulation Models (GCMs) are a major tool used for climate change projections under different emission scenarios. However, for assessing the hydrological impacts of climate change at watershed scale, GCM outputs cannot be used directly owing to the mismatch in spatial resolution between the GCMs and hydrological models. Thus a downscaling scheme (either statistical or dynamical) is employed. For hydrologic impact assessment studies, statistical downscaling is usually preferred over dynamical downscaling and among the variables usually downscaled, precipitation downscaling is more challenging than downscaling of other climatological variables. Therefore, this book is specifically focusing on addressing some of the contemporary issues in statistically downscaling of precipitation at watershed scale. Studies presented in this book make use of two widely used downscaling methods i.e. multiple linear regression and stochastic weather generator. Also, a new downscaling methodology using Gene Expression Programming (GEP) has been proposed. The issues discussed and analyzed in this book will facilitate further research in the area of statistical downscaling for hydrologic studies. 252 pp. Englisch.

Condizione: New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. Autor/Autorin: Hashmi Muhammad Zia ur RahmanDr. Hashmi received his PhD from the University of Auckland (New Zealand) and M.Sc. in Water Resources Engg. from Uni. of Engg and Tech., Lahore (Pakistan). Currently, he works at Global Change Impact Stu.

Taschenbuch. Condizione: Neu. nach der Bestellung gedruckt Neuware - Printed after ordering - Global Circulation Models (GCMs) are a major tool used for climate change projections under different emission scenarios. However, for assessing the hydrological impacts of climate change at watershed scale, GCM outputs cannot be used directly owing to the mismatch in spatial resolution between the GCMs and hydrological models. Thus a downscaling scheme (either statistical or dynamical) is employed. For hydrologic impact assessment studies, statistical downscaling is usually preferred over dynamical downscaling and among the variables usually downscaled, precipitation downscaling is more challenging than downscaling of other climatological variables. Therefore, this book is specifically focusing on addressing some of the contemporary issues in statistically downscaling of precipitation at watershed scale. Studies presented in this book make use of two widely used downscaling methods i.e. multiple linear regression and stochastic weather generator. Also, a new downscaling methodology using Gene Expression Programming (GEP) has been proposed. The issues discussed and analyzed in this book will facilitate further research in the area of statistical downscaling for hydrologic studies.