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Remote Sensing and Climate Modeling: Synergies and Limitations: 7 (Advances in Global Change Research) - Tapa dura
Sinopsis
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.
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Reseña del editor
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.
Reseña del editor
This book for the first time 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), soil moisture, etc. 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 modeling community.
The book is primarily aimed at advanced academic research, at PhD or post-doctoral levels and beyond.
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Remote Sensing and Climate Modeling: Synergies and Limitations (Advances in Global Change Research, 7)
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Remote Sensing and Climate Modeling : Synergies and Limitations
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Remote Sensing and Climate Modeling: Synergies and Limitations (Advances in Global Change Research, 7)
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Remote Sensing and Climate Modeling: Synergies and Limitations (Hardcover)
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Kluwer Academic Publishers, Dordrecht, 2001
ISBN 10: 0792368010
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Hardcover. Condición: new. Hardcover. 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. 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. Shipping may be from multiple locations in the US or from the UK, depending on stock availability. Nº de ref. del artículo: 9780792368014
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Remote Sensing and Climate Modeling: Synergies and Limitations
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Springer Netherlands Apr 2001, 2001
ISBN 10: 0792368010
ISBN 13: 9780792368014
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Buch. Condición: 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. Nº de ref. del artículo: 9780792368014
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Remote Sensing and Climate Modeling: Synergies and Limitations
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Gebunden. Condición: 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. Nº de ref. del artículo: 5969692
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Remote Sensing and Climate Modeling
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Remote Sensing and Climate Modeling: Synergies and Limitations
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Springer Netherlands, Springer Netherlands Apr 2001, 2001
ISBN 10: 0792368010
ISBN 13: 9780792368014
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Buch. Condición: Neu. 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. Nº de ref. del artículo: 9780792368014
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Remote Sensing and Climate Modeling
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