Remote Sensing and Climate Modeling: Synergies and Limitations

In: Advances in Global Change Research 7

Abstract

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.