Remote Sensing and Climate Modeling: Synergies and Limitations

  • Martin Beniston
  • Michel M. Verstraete

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

Table of contents

  1. Front Matter
    Pages i-3
  2. N. Gobron, F. Mélin, B. Pinty, M. M. Verstraete, J.-L. Widlowski, G. Bucini
    Pages 5-21
  3. Li Jia, Massimo Menenti, Zhongbo Su, Zhao-Liang Li, Vera Djepa, Jiemin Wang
    Pages 23-49
  4. Bernard Pinty, Michel M. Verstraete, Nadine Gobron, Fausto Roveda, Yves Govaerts, John V. Martonchik et al.
    Pages 51-67
  5. A. Roesch, M. Wild, A. Ohmura
    Pages 203-232
  6. 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

Introduction

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.

Keywords

Aerosol Albedo Climatology Scale Snow climate change global circulation remote sensing vegetation

Editors and affiliations

  • Martin Beniston
    • 1
  • Michel M. Verstraete
    • 2
  1. 1.Department of GeographyUniversity of FribourgSwitzerland
  2. 2.Space Applications InstituteJoint Research CentreIspra (VA)Italy

Bibliographic information

  • DOI https://doi.org/10.1007/0-306-48149-9
  • Copyright Information Springer Science+Business Media Dordrecht 2001
  • Publisher Name Springer, Dordrecht
  • eBook Packages Springer Book Archive
  • Print ISBN 978-90-481-5648-1
  • Online ISBN 978-0-306-48149-9
  • Series Print ISSN 1574-0919
  • About this book