rdf-syntax-grammar
mods:
  schema location: http://www.loc.gov/mods/v3 http://www.loc.gov/standards/mods/v3/mods-3-2.xsd
  title info:
    title: Remote Sensing and Climate Modeling: Synergies and Limitations
  name:
    name part: Beniston, Martin.
    role:
      role term: editor.
  name:
    name part: Verstraete, Michel M.
    role:
      role term: editor.
  name:
    name part: SpringerLink (Online service)
  type of resource: text
  origin info:
    place:
      place term: ne
    date issued: 2001
    issuance: monographic
  language:
    language term: eng
  physical description:
    form: electronic
    form: electronic resource
    reformatting quality: access
    form: remote
    extent: X, 346 p. online resource.
  abstract: 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 20–24, 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.
  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.
  note: edited by Martin Beniston, Michel M. Verstraete.
  subject:
    topic: Earth sciences
  subject:
    topic: Science
  subject:
    topic: Atmospheric sciences
  subject:
    topic: Geographical information systems
  subject:
    topic: Climate change
  subject:
    topic: Earth Sciences
  subject:
    topic: Atmospheric Sciences
  subject:
    topic: Geographical Information Systems/Cartography
  subject:
    topic: Science, general
  subject:
    topic: Climate Change
  classification: QC851-999
  classification: 551.5
  related item:
    title info:
      title: Springer eBooks
  related item:
    title info:
      title: Advances in Global Change Research, 7
  identifier: 9780306481499
  identifier: http://dx.doi.org/10.1007/0-306-48149-9
  record info:
    record creation date: 100301
    record change date: 20151204182446.0
    record identifier: 978-0-306-48149-9