Remote Sensing and Climate Modeling: Synergies and Limitations:
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...
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| Format: | Elektronisch E-Book |
| Sprache: | English |
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Dordrecht
Springer Netherlands
2001
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| Schriftenreihe: | Advances in Global Change Research
7 |
| Schlagworte: | |
| Online-Zugang: | BTU01 URL des Erstveröffentlichers |
| Zusammenfassung: | 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 |
| Beschreibung: | 1 Online-Ressource (X, 346 p) |
| ISBN: | 9780306481499 |
| DOI: | 10.1007/0-306-48149-9 |
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| spelling | Remote Sensing and Climate Modeling: Synergies and Limitations edited by Martin Beniston, Michel M. Verstraete Dordrecht Springer Netherlands 2001 1 Online-Ressource (X, 346 p) txt rdacontent c rdamedia cr rdacarrier Advances in Global Change Research 7 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 Earth Sciences Atmospheric Sciences Geographical Information Systems/Cartography Science, general Climate Change Earth sciences Science Atmospheric sciences Geographical information systems Climate change Modell (DE-588)4039798-1 gnd rswk-swf Fernerkundung (DE-588)4016796-3 gnd rswk-swf Klima (DE-588)4031170-3 gnd rswk-swf 1\p (DE-588)4143413-4 Aufsatzsammlung gnd-content 2\p (DE-588)1071861417 Konferenzschrift gnd-content Fernerkundung (DE-588)4016796-3 s Klima (DE-588)4031170-3 s Modell (DE-588)4039798-1 s 3\p DE-604 Beniston, Martin edt Verstraete, Michel M. edt Erscheint auch als Druck-Ausgabe 9789048156481 https://doi.org/10.1007/0-306-48149-9 Verlag URL des Erstveröffentlichers Volltext 1\p cgwrk 20201028 DE-101 https://d-nb.info/provenance/plan#cgwrk 2\p cgwrk 20201028 DE-101 https://d-nb.info/provenance/plan#cgwrk 3\p cgwrk 20201028 DE-101 https://d-nb.info/provenance/plan#cgwrk |
| spellingShingle | Remote Sensing and Climate Modeling: Synergies and Limitations Earth Sciences Atmospheric Sciences Geographical Information Systems/Cartography Science, general Climate Change Earth sciences Science Atmospheric sciences Geographical information systems Climate change Modell (DE-588)4039798-1 gnd Fernerkundung (DE-588)4016796-3 gnd Klima (DE-588)4031170-3 gnd |
| subject_GND | (DE-588)4039798-1 (DE-588)4016796-3 (DE-588)4031170-3 (DE-588)4143413-4 (DE-588)1071861417 |
| title | Remote Sensing and Climate Modeling: Synergies and Limitations |
| title_auth | Remote Sensing and Climate Modeling: Synergies and Limitations |
| title_exact_search | Remote Sensing and Climate Modeling: Synergies and Limitations |
| title_full | Remote Sensing and Climate Modeling: Synergies and Limitations edited by Martin Beniston, Michel M. Verstraete |
| title_fullStr | Remote Sensing and Climate Modeling: Synergies and Limitations edited by Martin Beniston, Michel M. Verstraete |
| title_full_unstemmed | Remote Sensing and Climate Modeling: Synergies and Limitations edited by Martin Beniston, Michel M. Verstraete |
| title_short | Remote Sensing and Climate Modeling: Synergies and Limitations |
| title_sort | remote sensing and climate modeling synergies and limitations |
| topic | Earth Sciences Atmospheric Sciences Geographical Information Systems/Cartography Science, general Climate Change Earth sciences Science Atmospheric sciences Geographical information systems Climate change Modell (DE-588)4039798-1 gnd Fernerkundung (DE-588)4016796-3 gnd Klima (DE-588)4031170-3 gnd |
| topic_facet | Earth Sciences Atmospheric Sciences Geographical Information Systems/Cartography Science, general Climate Change Earth sciences Science Atmospheric sciences Geographical information systems Climate change Modell Fernerkundung Klima Aufsatzsammlung Konferenzschrift |
| url | https://doi.org/10.1007/0-306-48149-9 |
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