Recursive Streamflow Forecasting: A State Space Approach

Author:   Jozsef Szilagyi ,  Andras Szollosi Nagy
Publisher:   Taylor & Francis Ltd
ISBN:  

9780415569019


Pages:   212
Publication Date:   25 June 2010
Format:   Paperback
Availability:   In Print   Availability explained
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Recursive Streamflow Forecasting: A State Space Approach


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Author:   Jozsef Szilagyi ,  Andras Szollosi Nagy
Publisher:   Taylor & Francis Ltd
Imprint:   CRC Press
Dimensions:   Width: 16.00cm , Height: 1.00cm , Length: 24.00cm
Weight:   0.430kg
ISBN:  

9780415569019


ISBN 10:   041556901
Pages:   212
Publication Date:   25 June 2010
Audience:   College/higher education ,  Professional and scholarly ,  Tertiary & Higher Education ,  Professional & Vocational
Format:   Paperback
Publisher's Status:   Active
Availability:   In Print   Availability explained
This item will be ordered in for you from one of our suppliers. Upon receipt, we will promptly dispatch it out to you. For in store availability, please contact us.

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Dr. Jozsef Szilagyi is a Professor at the Budapest University of Technology and Economics, Hungary and a research hydrologist at the University of Nebraska-Lincoln, USA. His education and training is in meteorology and hydrology. He completed his PhD at the University of California-Davis, USA, in 1997. In his early carrier he worked as an operational hydrometeorologist at the National Hydrological Forecasting Service in Hungary. Later he got involved in studying watershed hydrology, land-atmosphere and stream-aquifer interactions. His current activities focus on developing spatially distributed evapotranspiration estimation methods using standard weather and satellite-derived remote sensing data. Dr. Andras Szollosi-Nagy is a Professor of Hydrology. He currently also serves as the Rector of the UNESCO IHE Institute for Water Education in Delft, The Netherlands. Before, he was the director of the Division of Water Sciences and the Secretary of the International Hydrological Programme (IHP) of UNESCO, Paris. He holds a Civil Engineering degree, a Dr. Techn. (Summa cum Laude) in Hydrology and Mathematical Statistics, a PhD in hydrology from the Budapest University of Technology and a DSc in water resources systems control from the Hungarian Academy of Sciences. He has served in various international scientific boards and has worked as a scientist and professor in hydrological modeling and forecasting at several universities in the world.

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