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Remote Sensing and Climate Modeling: Synergies and Limitations - Livres de poche

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Remote Sensing and Climate Modeling: Synergies and Limitations - Livres de poche

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Verstraete, Michel M. (Herausgeber); Beniston, Martin (Herausgeber):
Remote Sensing and Climate Modeling: Synergies and Limitations - Livres de poche

2010

ISBN: 9048156483

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Remote Sensing and Climate Modeling: Synergies and Limitations - Livres de poche

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Remote Sensing and Climate Modeling: Synergies and Limitations - Martin Beniston; Michel M. Verstraete
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Remote Sensing and Climate Modeling: Synergies and Limitations - Livres de poche

2010, ISBN: 9789048156481

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Remote Sensing and Climate Modeling: Synergies and Limitations

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.

Informations détaillées sur le livre - Remote Sensing and Climate Modeling: Synergies and Limitations


EAN (ISBN-13): 9789048156481
ISBN (ISBN-10): 9048156483
Version reliée
Livre de poche
Date de parution: 2010
Editeur: Springer Netherlands
356 Pages
Poids: 0,567 kg
Langue: eng/Englisch

Livre dans la base de données depuis 2011-10-08T15:41:50+02:00 (Zurich)
Page de détail modifiée en dernier sur 2023-09-26T23:46:46+02:00 (Zurich)
ISBN/EAN: 9789048156481

ISBN - Autres types d'écriture:
90-481-5648-3, 978-90-481-5648-1
Autres types d'écriture et termes associés:
Auteur du livre: michel, beniston, martin pöt
Titre du livre: synergie, remote sensing, climate


Données de l'éditeur

Auteur: Martin Beniston; Michel M. Verstraete
Titre: Advances in Global Change Research; Remote Sensing and Climate Modeling: Synergies and Limitations
Editeur: Springer; Springer Netherland
346 Pages
Date de parution: 2010-10-22
Dordrecht; NL
Imprimé / Fabriqué en
Langue: Anglais
160,49 € (DE)
164,99 € (AT)
177,00 CHF (CH)
POD
X, 346 p.

BC; Hardcover, Softcover / Geowissenschaften/Sonstiges; Meteorologie und Klimatologie (Klimaforschung); Verstehen; Aerosol; Albedo; Climatology; Scale; Snow; climate change; global circulation; remote sensing; vegetation; Atmospheric Science; Geographical Information System; Humanities and Social Sciences; Environmental Sciences; Geographische Informationssysteme (GIS) und Fernerkundung; Interdisziplinäre Studien; Umwelt; BB

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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9780306481499 Remote Sensing and Climate Modeling: Synergies and Limitations (Frank S. Marzano)


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