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Team 2 : "Observing Systems":
strategies for reporting observations of the complex surfaces




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Head : Mehrez Zribi

For a better comprehension of the functioning of continental surfaces, to understand how both natural and anthropogenic climatic variations affect the hydrological fluxes and water resources at the heart of terrestrial ecosystems : for a better study of the various scenarii.

Research themes : hydrological cycle, evapotranspiration, distributed hydrology, energy and water budgets, small to regional scale catchments, surface heterogeneity, scale transfer, assimilation, modelling and remote sensing.

The objective of this group is to contribute to the understanding of the functioning of continental surfaces.

  • How do both natural and anthropogenic climatic variations affect the hydrological fluxes and water resources at the heart of terrestrial ecosystems, including the interactions between the surface and the atmosphere ?
  • Can the natural climatic and human factors on the evolution of water fluxes and resources be identified in both the past and the future ?
  • The goal of this team is to identify and construct scenarii describing the evolution and functioning of the ecosystem structure, water and carbon budgets and, more generally, the mass and energy exchange between different components in response to climatic and entropic factors
  • A strong originality in the approach of the team lies in the spacialization of this functioning by combining field experiments, modelling and remote sensing.

 

The team is based mainly on the three operational projects of the CESBIO, and focuses on the following five topics :

image The development of models describing the functioning of continental surfaces, by integrating physical and biological processes

image To identify strategies and techniques for the use of remote sensing (both from aircraft- and space born sensors):

i) to identify processes and observe/recognize evolutions;

ii) to use as input in surface models (including desegregation and data-assimilation techniques).

image To study the coherence between thematical objectives, the degree of complexity of models, data availability and the characteristics of remote sensing data.

image Experimental study, and, if theoretically possible, spatial and!or temporal up!downscaling.

image The design of experiments, and the carrying out of these experiments in order to address the above issues.

     
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