Atjaunināt sīkdatņu piekrišanu

Remote Sensing and Climate Modeling: Synergies and Limitations 2001 ed. [Hardback]

  • Formāts: Hardback, 346 pages, height x width: 234x156 mm, weight: 1500 g, X, 346 p., 1 Hardback
  • Sērija : Advances in Global Change Research 7
  • Izdošanas datums: 30-Apr-2001
  • Izdevniecība: Springer
  • ISBN-10: 0792368010
  • ISBN-13: 9780792368014
  • Hardback
  • Cena: 136,16 €*
  • * ši ir gala cena, t.i., netiek piemērotas nekādas papildus atlaides
  • Standarta cena: 160,19 €
  • Ietaupiet 15%
  • Grāmatu piegādes laiks ir 3-4 nedēļas, ja grāmata ir uz vietas izdevniecības noliktavā. Ja izdevējam nepieciešams publicēt jaunu tirāžu, grāmatas piegāde var aizkavēties.
  • Daudzums:
  • Ielikt grozā
  • Piegādes laiks - 4-6 nedēļas
  • Pievienot vēlmju sarakstam
  • Formāts: Hardback, 346 pages, height x width: 234x156 mm, weight: 1500 g, X, 346 p., 1 Hardback
  • Sērija : Advances in Global Change Research 7
  • Izdošanas datums: 30-Apr-2001
  • Izdevniecība: Springer
  • ISBN-10: 0792368010
  • ISBN-13: 9780792368014
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 and Limitations that took place in Les Diablerets, Switzerland, September 2024, 1999. This international scientific conference aimed at addressing the current and pot- tial role of satellite remote sensing in climate modeling, with a particular focus on land surface processes and atmospheric aerosol characterization. Global and regional circulation models incorporate our knowledge ofthe dynamics ofthe Earth's atmosphere. They are used to predict the evolution of the weather and climate. Mathematically, this system is represented by a set ofpartial differential equations whose solution requires initial and bo- dary conditions. Limitations in the accuracy and geographical distribution of these constraints, and intrinsic mathematical sensitivity to these conditions do not allow the identification of a unique solution (prediction). Additional observations on the climate system are thus used to constrain the forecasts of the mathematical model to remain close to the observed state ofthe system.
List of contributors vii Preface 1(4) A global vegetation index for SeaWiFS: Design and applications 5(18) N. Gobron F. Melin B. Pinty M. M. Verstraete J.-L. Widlowski G. Bucini Modeling sensible heat flux using estimates of soil and vegetation temperatures: the HEIFE and IMGRASS experiments 23(28) Li Jia Massimo Menenti Zhongbo Su Zhao-Liang Li Vera Djepa Jiemin Wang Exploitation of Surface Albedo Derived from the Meteosat Data to Characterize Land Surface Changes 51(18) Bernard Pinty Michel M. Verstraete Nadine Gobron Fausto Roveda Yves Govaerts John V. Martonchik David J. Diner Ralph A. Kahn Towards a Climatology of Australian Land Surface Albedo for use in Climate Models 69(16) Ian F. Grant Collocated surface and satellite observations as constraints for Earth radiation budget simulations with global climate models 85(18) Martin Wild How well do aerosol retrievals from satellites and representation in global circulation models match ground-based AERONET aerosol statistics? 103(56) S. Kinne B. Holben T. Eck A. Smirnov O. Dubovik I. Slutsker D. Tanre G. Zibozdi U. Lohmann S. Ghan R. Easter M. Chin P. Ginoux T. Takemura I. Tegen D. Koch R. Kahn E. Vermote L. Stowe O. Torres M. Mishchenko I. Geogdzhayev A. Hiragushi Remote Sensing of Snow and Characterization of Snow Albedo for Climate Simulations 159(22) Anne W. Nolin Allan Frei Using the Special Sensor Microwave Imager to Monitor Surface Wetness and Temperature 181(22) Alan Basist Claude Williams Snow Cover Fraction in a General Circulation Model 203(30) A. Roesch M. Wild A. Ohmura Boreal Forest Fire Regimes and Climate Change 233(14) B.J. Stocks B.M. Wotton M.D. Flannigan M.A. Fosberg D.R. Cahoon J.G. Goldammer Specification of surface characteristics for use in a high resolution regional climate model: on the role of glaciers in the swiss alps 247(26) Stephane Goyette Claude Collet Martin Beniston Using Satellite Data Assimilation to Infer Global Soil Moisture Status and Vegetation Feedback to Climate 273(34) Wolfgang Knorr Jan-Peter Schulz The Use of Remotely-sensed Data for the Estimation of Energy Balance Components in a Mountainous Catchment Area 307(22) P.A. Brivio R. Colombo M. Meroni Integration of operationally available remote sensing and synoptic data for surface energy balance modelling and environmental applications on the regional scale 329 Stefan Niemeyer Jurgen Vogt