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Extremes in a Changing Climate - Detection, Analysis and Uncertainty (Hardcover, 2013 ed.): Amir Aghakouchak, David Easterling,... Extremes in a Changing Climate - Detection, Analysis and Uncertainty (Hardcover, 2013 ed.)
Amir Aghakouchak, David Easterling, Kuo-Lin Hsu, Siegfried Schubert, Soroosh Sorooshian
R4,141 R3,611 Discovery Miles 36 110 Save R530 (13%) Ships in 10 - 15 working days

This book provides a collection of the state-of-the-art methodologies and approaches suggested for detecting extremes, trend analysis, accounting for nonstationarities, and uncertainties associated with extreme value analysis in a changing climate. This volume is designed so that it can be used as the primary reference on the available methodologies for analysis of climate extremes. Furthermore, the book addresses current hydrometeorologic global data sets and their applications for global scale analysis of extremes. While the main objective is to deliver recent theoretical concepts, several case studies on extreme climate conditions are provided. Audience The book is suitable for teaching in graduate courses in the disciplines of Civil and Environmental Engineering, Earth System Science, Meteorology and Atmospheric Sciences.

Hydrological Modelling and the Water Cycle - Coupling the Atmospheric and Hydrological Models (Hardcover, 1st Corrected ed.... Hydrological Modelling and the Water Cycle - Coupling the Atmospheric and Hydrological Models (Hardcover, 1st Corrected ed. 2008, Corr. 2nd printing 2008)
Soroosh Sorooshian, Kuo-Lin Hsu, Erika Coppola, Barbara Tomassetti, Marco Verdecchia, …
R5,184 Discovery Miles 51 840 Ships in 18 - 22 working days

This volume is a collection of a selected number of articles based on presentations at the 2005 L'Aquila (Italy) Summer School on the topic of "Hydrologic Modeling and Water Cycle: Coupling of the Atmosphere and Hydrological Models". The p- mary focus of this volume is on hydrologic modeling and their data requirements, especially precipitation. As the eld of hydrologic modeling is experiencing rapid development and transition to application of distributed models, many challenges including overcoming the requirements of compatible observations of inputs and outputs must be addressed. A number of papers address the recent advances in the State-of-the-art distributed precipitation estimation from satellites. A number of articles address the issues related to the data merging and use of geo-statistical techniques for addressing data limitations at spatial resolutions to capture the h- erogeneity of physical processes. The participants at the School came from diverse backgrounds and the level of - terest and active involvement in the discussions clearly demonstrated the importance the scienti c community places on challenges related to the coupling of atmospheric and hydrologic models. Along with my colleagues Dr. Erika Coppola and Dr. Kuolin Hsu, co-directors of the School, we greatly appreciate the invited lectures and all the participants. The members of the local organizing committee, Drs Barbara Tomassetti; Marco Verdecchia and Guido Visconti were instrumental in the success of the school and their contributions, both scienti cally and organizationally are much appreciated.

Extremes in a Changing Climate - Detection, Analysis and Uncertainty (Paperback, 2013 ed.): Amir Aghakouchak, David Easterling,... Extremes in a Changing Climate - Detection, Analysis and Uncertainty (Paperback, 2013 ed.)
Amir Aghakouchak, David Easterling, Kuo-Lin Hsu, Siegfried Schubert, Soroosh Sorooshian
R3,768 Discovery Miles 37 680 Ships in 18 - 22 working days

This book provides a collection of the state-of-the-art methodologies and approaches suggested for detecting extremes, trend analysis, accounting for nonstationarities, and uncertainties associated with extreme value analysis in a changing climate. This volume is designed so that it can be used as the primary reference on the available methodologies for analysis of climate extremes. Furthermore, the book addresses current hydrometeorologic global data sets and their applications for global scale analysis of extremes. While the main objective is to deliver recent theoretical concepts, several case studies on extreme climate conditions are provided. Audience The book is suitable for teaching in graduate courses in the disciplines of Civil and Environmental Engineering, Earth System Science, Meteorology and Atmospheric Sciences.

Flood Forecasting Using Machine Learning Methods (Paperback): Fi-John Chang, Kuo-Lin Hsu, Li-Chiu Chang Flood Forecasting Using Machine Learning Methods (Paperback)
Fi-John Chang, Kuo-Lin Hsu, Li-Chiu Chang
R1,947 R1,667 Discovery Miles 16 670 Save R280 (14%) Ships in 18 - 22 working days
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