Beniston M., Verstraete M.M. (Eds.) Remote Sensing and Climate Modeling: Synergies and Limitations

Kluwer, 2003. — 348 p.This volume contains the proceedings of the 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 potential role of satellite remote sensing in climate modeling, with a particular focus on land surface processes and atmospheric aerosol characterization.Preface.
A global vegetation index for SeaWiFS: Design and applications.
Modeling sensible heat flux using estimates of soil and vegetation temperatures: the HEIFE and INGRASS experiments.
Exploitation of Surface Albedo Derived from the Meteosat Data to Characterize Land Surface Changes.
Towards a Climatology of Australian Land Surface Albedo for use in Climate Models.
Collocated surface and satellite observations as constraints for Earth radiation budget simulations with global climate models.
How well do aerosol retrievals satellites and representation in global circulation models match ground-based AERONET aerosol statistics?
Remote Sensing of Snow and Characterization of Snow Albedo for Climate Simulations.
Using the Spectral Sensor Microwave Imager to Monitor Surface Wetness and Temperature.
Snow Cover Fraction in a General Circulation Model.
Boreal Forest Fire Regimes and Climate Change.
Specification of surface characteristics for use in a high resolution regional climate model: on the role of glaciers in the Swiss Alps.
Using Satellite Data Assimilation to Infer Global Soil Moisture Status and Vegetation Feedback to Climate.
The Use of Remotely-sensed Data for the Estimation of Energy Balance Components in a Mountainous Catchment Area.
Integration of operationally available remote sensing and synoptic data for surface energy balance modelling and environmental applications in the regional scale.