Tag: Hydrological

Free Download Hydrological Modelling and the Water Cycle: Coupling the Atmospheric and Hydrological Models by Soroosh Sorooshian, Kuo-Lin Hsu, Erika Coppola, Barbara Tomassetti, Marco Verdecchia, Guido Visconti
English | PDF | 2008 | 293 Pages | ISBN : 354077842X | 106.6 MB
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.

Free Download Distributed Hydrological Modelling By J. C. Refsgaard, M. B. Abbott (auth.), Michael B. Abbott, Jens Christian Refsgaard (eds.)
1996 | 336 Pages | ISBN: 9401065993 | PDF | 13 MB
It is the task of the engineer, as of any other professional person, to do everything that is reasonably possible to analyse the difficulties with which his or her client is confronted, and on this basis to design solutions and implement these in practice. The distributed hydrological model is, correspondingly, the means for doing everything that is reasonably possible – of mobilising as much data and testing it with as much knowledge as is economically feasible – for the purpose of analysing problems and of designing and implementing remedial measures in the case of difficulties arising within the hydrological cycle. Thus the aim of distributed hydrologic modelling is to make the fullest use of cartographic data, of geological data, of satellite data, of stream discharge measurements, of borehole data, of observations of crops and other vegetation, of historical records of floods and droughts, and indeed of everything else that has ever been recorded or remembered, and then to apply to this everything that is known about meteorology, plant physiology, soil physics, hydrogeology, sediment transport and everything else that is relevant within this context. Of course, no matter how much data we have and no matter how much we know, it will never be enough to treat some problems and some situations, but still we can aim in this way to do the best that we possibly can.

Free Download Neural networks for hydrological modelling By Robert J Abrahart; Pauline E Kneale; Linda M See
2004 | 302 Pages | ISBN: 0203024117 | PDF | 5 MB
”With contributions from international professionals and researchers, this book is one of the first texts to address the emerging field of Neuroadaptive Systems and presents the state of the art developments in the field. It discusses neuroscience and human factors, as well as brain activity measurement. Topics covered include operator functional state (OFS) and neuroadaptive systems; psychological constructs versus neuronal mechanisms; object recognition versus object-directed grasping; mental fatigue, sleeplessness, and neural mechanisms of control; and attentional network and error related negativity associated with sleep deprivation”–

Free Download Coupled Models for the Hydrological Cycle: Integrating Atmosphere, Biosphere, and Pedosphere By Axel Bronstert, Jesus Carrera, Pavel Kabat, Sabine Lütkemeier (eds.)
2005 | 345 Pages | ISBN: 3540223711 | PDF | 7 MB
Hydrologists, climatologists, soil scientists and environmental engineers are frequently asked to analyse complex environmental problems. It is becoming increasingly apparent that these problems usually involve feedbacks between atmospheric, ecological, and hydrological systems, as well as human society. It is often the feedbacks between systems that are of greatest interest because they may produce unanticipated responses. That is why coupling of different compartments of the Earth system has emerged as a general challenge to the modelling community. This book considers an array of state-of-the-art coupling and modelling concepts. First the relevant Earth system cycles are presented, followed by a discussion on scale issues and multiple equilibria. Inter- and intra-compartmental coupling is addressed, along with a debate on non-linearities and questions of parameterisation. Several applications are presented, where a focus is on cases where the hydrological cycle plays a central role.

Free Download Hydrological Modelling and the Water Cycle: Coupling the Atmospheric and Hydrological Models by Soroosh Sorooshian, Kuo-Lin Hsu, Erika Coppola, Barbara Tomassetti, Marco Verdecchia, Guido Visconti
English | PDF | 2008 | 293 Pages | ISBN : 354077842X | 106.6 MB
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.

Free Download Hydrological Modelling and the Water Cycle: Coupling the Atmospheric and Hydrological Models by Soroosh Sorooshian, Kuo-Lin Hsu, Erika Coppola, Barbara Tomassetti, Marco Verdecchia, Guido Visconti
English | PDF | 2008 | 293 Pages | ISBN : 354077842X | 106.6 MB
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.