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Titlebook: Remote Sensing and Climate Modeling: Synergies and Limitations; Martin Beniston,Michel M. Verstraete Book 2001 Springer Science+Business M

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發(fā)表于 2025-3-28 18:29:54 | 只看該作者
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發(fā)表于 2025-3-28 19:56:11 | 只看該作者
Specification of surface characteristics for use in a high resolution regional climate model: on ther. We demonstrate the importance of specifying the appropriate surface characteristics at high horizontal resolution and discuss their impacts on the simulated surface prognostic variables, on the surface energy flux as well as on the surface winds in the alpine domain of Switzerland, using the Can
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發(fā)表于 2025-3-28 23:58:34 | 只看該作者
Using Satellite Data Assimilation to Infer Global Soil Moisture Status and Vegetation Feedback to Cland surface schemes used in climate models. However, accurate parameterisation of land surface processes is still hampered by the complexity of the processes, and by data availability at the global scale required for general circulation models. It is, therefore, desirable to utilise additional data
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發(fā)表于 2025-3-29 06:22:54 | 只看該作者
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發(fā)表于 2025-3-29 08:39:15 | 只看該作者
Integration of operationally available remote sensing and synoptic data for surface energy balance ultural land by following the evolution of the evaporative fraction. In order to ensure the transferability of the approach throughout Europe, emphasis was placed on applying data from operationally available sources only. Daily meteorological parameters have been taken from the synoptic network, re
46#
發(fā)表于 2025-3-29 12:09:11 | 只看該作者
A global vegetation index for SeaWiFS: Design and applications,een various surface types, and its insensitivity to changes in the geometrical conditions of observation and to atmospheric effects. The operational environment set up at SAI to process SeaWiFS data is outlined and selected standard retrievals resulting from a monthly composite analysis are shown as examples of the products generated.
47#
發(fā)表于 2025-3-29 16:16:34 | 只看該作者
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發(fā)表于 2025-3-29 22:27:09 | 只看該作者
1574-0919 y, 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 a
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