Overview

This book for the first time covers state-of-the-art research in two domains which are largely complementary, but which have until now not made optimum use of their complementarity: remote sensing techniques and climate models. The material presented in the book covers such diverse areas within satellite remote sensing techniques as aerosol loading of the atmosphere, characterization of the land surface (type and extent of vegetation, reflectivity of snow, land and vegetation), soil moisture, etc. Such parameters are important determinants of the climate system and its evolution, and are often poorly quantified in climate models; the advantage of remote sensing techniques, which have a global coverage, therefore becomes obvious for the climate modeling community. The book is primarily aimed at advanced academic research, at PhD or post-doctoral levels and beyond.

Full Product Details

Author:   Martin Beniston ,  Michel M. Verstraete
Publisher:   Springer
Imprint:   Springer
Edition:   Softcover reprint of the original 1st ed. 2001
Volume:   7
Dimensions:   Width: 15.50cm , Height: 1.80cm , Length: 23.50cm
Weight:   0.571kg
ISBN:  

9789048156481

ISBN 10:   9048156483
Pages:   346
Publication Date:   22 October 2010
Audience:   Professional and scholarly ,  Professional & Vocational
Format:   Paperback
Publisher's Status:   Active
Availability:   Out of stock  
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Table of Contents

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.

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