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...

Πλήρης περιγραφή

Λεπτομέρειες βιβλιογραφικής εγγραφής
Συγγραφή απο Οργανισμό/Αρχή: SpringerLink (Online service)
Άλλοι συγγραφείς: Beniston, Martin (Επιμελητής έκδοσης), Verstraete, Michel M. (Επιμελητής έκδοσης)
Μορφή: Ηλεκτρονική πηγή Ηλ. βιβλίο
Γλώσσα:English
Έκδοση: Dordrecht : Springer Netherlands : Imprint: Springer, 2001.
Σειρά:Advances in Global Change Research, 7
Θέματα:
Διαθέσιμο Online:Full Text via HEAL-Link
Πίνακας περιεχομένων:
  • A global vegetation index for SeaWiFS: Design and applications
  • Modeling sensible heat flux using estimates of soil and vegetation temperatures: the HEIFE and IMGRASS 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 from 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 Special 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 on the regional scale.