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  • © 2001

Remote Sensing and Climate Modeling: Synergies and Limitations

Part of the book series: Advances in Global Change Research (AGLO, volume 7)

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Table of contents (14 chapters)

  1. Front Matter

    Pages i-3
  2. A global vegetation index for SeaWiFS: Design and applications

    • N. Gobron, F. Mélin, B. Pinty, M. M. Verstraete, J.-L. Widlowski, G. Bucini
    Pages 5-21
  3. Modeling sensible heat flux using estimates of soil and vegetation temperatures: the HEIFE and IMGRASS experiments

    • Li Jia, Massimo Menenti, Zhongbo Su, Zhao-Liang Li, Vera Djepa, Jiemin Wang
    Pages 23-49
  4. Exploitation of Surface Albedo Derived From the Meteosat Data to Characterize Land Surface Changes

    • Bernard Pinty, Michel M. Verstraete, Nadine Gobron, Fausto Roveda, Yves Govaerts, John V. Martonchik et al.
    Pages 51-67
  5. Snow Cover Fraction In A General Circulation Model

    • A. Roesch, M. Wild, A. Ohmura
    Pages 203-232
  6. Boreal Forest Fire Regimes And Climate Change

    • B. J. Stocks, B. M. Wotton, M. D. Flannigan, M. A. Fosberg, D. R. Cahoon, J. G. Goldammer
    Pages 233-246
  7. Back Matter

    Pages 345-345

About this book

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.

Editors and Affiliations

  • Department of Geography, University of Fribourg, Switzerland

    Martin Beniston

  • Space Applications Institute, Joint Research Centre, Ispra (VA), Italy

    Michel M. Verstraete

Bibliographic Information

Buy it now

Buying options

eBook USD 129.00
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
Softcover Book USD 169.99
Price excludes VAT (USA)
  • Compact, lightweight edition
  • Dispatched in 3 to 5 business days
  • Free shipping worldwide - see info
Hardcover Book USD 169.99
Price excludes VAT (USA)
  • Durable hardcover edition
  • Dispatched in 3 to 5 business days
  • Free shipping worldwide - see info

Tax calculation will be finalised at checkout

Other ways to access