Sinossi
This work covers state-of-the-art research in two domains which are largely complementary, but which have until now not made optimum use of their complementarity: remote sensing techniques and climate models. The material presented in the book covers such diverse areas within satellite remote sensing techniques as aerosol loading of the atmosphere, characterization of the land surface (type and extent of vegetation, reflectivity of snow, land and vegetation), and soil moisture. Such parameters are important determinants of the climate system and its evolution, and are often poorly quantified in climate models; the advantage of remote sensing techniques, which have a global coverage, therefore becomes obvious for the climate modelling community. The book is primarily aimed at advanced academic research, at PhD or post-doctoral levels and beyond.
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Contenuti
List of Contributors. Preface. A global vegetation index for Sea WiFS: Design and applications; N. Gobron, et al. Modeling sensible heat flux using estimates of soil and vegetation temperatures: the HEIFE and IMGRASS experiments; L. Jia, et al. Exploitation of Surface Albedo Derived from the Meteosat Data to Characterise Land Surface Changes; B. Pinty, et al. Towards a Climatology of Australian Land Surface Albedo for use in Climate Models; I.F. Grant. Collacted surface and satellite observations as constraints for Earth radiation budget simulations with global climate models; M. Wild. How well do aerosol retrievals from satellites and representation in global circulation models match ground-based AERONET aerosol statistics; S. Kinne, et al. Remote Sensing of Snow and Characterization of Snow Albedo for Climate Simulations; A.W. Nolin, A. Frei. Using the Special Sensor Microwave Imager to Monitor Surface Wetness and Temperature; A. Basist, C. Williams. Snow Cover Fraction in a General Circulation Model; A. Roesch, et al. Boreal Forest Fire Regimes and Climate Change; B.J. Stocks, et al. Specification of surface characteristics for use in a high resolution regional climate model: on the role of glaciers in the swiss alps; S. Goyette, et al. Using Satellite Data Assimilation to Infer Global Soil Moisture Status and Vegetation Feedback to Climate; W. Knorr, J.-P. Schulz. The Use of Remotely-sensed Data for the Estimation of Energy Balance Components in a Mountainous Catchment Area; P.A. Brivio, et al. Integration of operationally available remote sensing and synoptic data for surface energy balance modelling and environmental application on the regional scale; S. Niemeyer, J. Vogt.
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Remote Sensing and Climate Modeling: Synergies and Limitations (Advances in Global Change Research, 7)
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Buch. Condizione: Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -1 2 Michel M. VERSTRAETE and Martin BENISTON 1 Space Applications Institute, EC Joint Research Centre, Ispra, Italy 2 Department of Geography, University of Fribourg, Switzerland This volume contains the proceedings ofthe workshop entitled 'Satellite Remote Sensing and Climate Simulations: Synergies and Limitations' that took place in Les Diablerets, Switzerland, September 20-24, 1999. This international scientific conference aimed at addressing the current and pot- tial role of satellite remote sensing in climate modeling, with a particular focus on land surface processes and atmospheric aerosol characterization. Global and regional circulation models incorporate our knowledge ofthe dynamics ofthe Earth's atmosphere. They are used to predict the evolution of the weather and climate. Mathematically, this system is represented by a set ofpartial differential equations whose solution requires initial and bo- dary conditions. Limitations in the accuracy and geographical distribution of these constraints, and intrinsic mathematical sensitivity to these conditions do not allow the identification of a unique solution (prediction). Additional observations on the climate system are thus used to constrain the forecasts of the mathematical model to remain close to the observed state ofthe system. 360 pp. Englisch. Codice articolo 9780792368014
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Gebunden. Condizione: New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. 1 2 Michel M. VERSTRAETE and Martin BENISTON 1 Space Applications Institute, EC Joint Research Centre, Ispra, Italy 2 Department of Geography, University of Fribourg, Switzerland This volume contains the proceedings ofthe workshop entitled Satellite Remote. Codice articolo 5969692
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Buch. Condizione: Neu. Remote Sensing and Climate Modeling: Synergies and Limitations | Michel M. Verstraete (u. a.) | Buch | x | Englisch | 2001 | Springer Netherland | EAN 9780792368014 | Verantwortliche Person für die EU: Springer Verlag GmbH, Tiergartenstr. 17, 69121 Heidelberg, juergen[dot]hartmann[at]springer[dot]com | Anbieter: preigu Print on Demand. Codice articolo 102549838
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Condizione: New. Covers research in two domains: remote sensing techniques and climate models. This book covers such diverse areas within satellite remote sensing techniques as aerosol loading of the atmosphere, characterization of the land surface, and soil moisture. Editor(s): Beniston, Martin; Verstraete, Michel M. Series: Advances in Global Change Research. Num Pages: 356 pages, biography. BIC Classification: PDN; RBP; RGW. Category: (P) Professional & Vocational; (UP) Postgraduate, Research & Scholarly. Dimension: 234 x 156 x 20. Weight in Grams: 680. . 2001. Hardback. . . . . Codice articolo V9780792368014
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Buch. Condizione: Neu. This item is printed on demand - Print on Demand Titel. Neuware -1 2 Michel M. VERSTRAETE and Martin BENISTON 1 Space Applications Institute, EC Joint Research Centre, Ispra, Italy 2 Department of Geography, University of Fribourg, Switzerland This volume contains the proceedings ofthe workshop entitled ¿Satellite Remote Sensing and Climate Simulations: Synergies and Limitations¿ that took place in Les Diablerets, Switzerland, September 20¿24, 1999. This international scientific conference aimed at addressing the current and pot- tial role of satellite remote sensing in climate modeling, with a particular focus on land surface processes and atmospheric aerosol characterization. Global and regional circulation models incorporate our knowledge ofthe dynamics ofthe Earth's atmosphere. They are used to predict the evolution of the weather and climate. Mathematically, this system is represented by a set ofpartial differential equations whose solution requires initial and bo- dary conditions. Limitations in the accuracy and geographical distribution of these constraints, and intrinsic mathematical sensitivity to these conditions do not allow the identification of a unique solution (prediction). Additional observations on the climate system are thus used to constrain the forecasts of the mathematical model to remain close to the observed state ofthe system.Springer-Verlag GmbH, Tiergartenstr. 17, 69121 Heidelberg 360 pp. Englisch. Codice articolo 9780792368014
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Buch. Condizione: Neu. Druck auf Anfrage Neuware - Printed after ordering - 1 2 Michel M. VERSTRAETE and Martin BENISTON 1 Space Applications Institute, EC Joint Research Centre, Ispra, Italy 2 Department of Geography, University of Fribourg, Switzerland This volume contains the proceedings ofthe workshop entitled 'Satellite Remote Sensing and Climate Simulations: Synergies and Limitations' that took place in Les Diablerets, Switzerland, September 20-24, 1999. This international scientific conference aimed at addressing the current and pot- tial role of satellite remote sensing in climate modeling, with a particular focus on land surface processes and atmospheric aerosol characterization. Global and regional circulation models incorporate our knowledge ofthe dynamics ofthe Earth's atmosphere. They are used to predict the evolution of the weather and climate. Mathematically, this system is represented by a set ofpartial differential equations whose solution requires initial and bo- dary conditions. Limitations in the accuracy and geographical distribution of these constraints, and intrinsic mathematical sensitivity to these conditions do not allow the identification of a unique solution (prediction). Additional observations on the climate system are thus used to constrain the forecasts of the mathematical model to remain close to the observed state ofthe system. Codice articolo 9780792368014
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