Flux map on tall towers: a study over heterogeneous landscapes
2025
Herig Coimbra, Pedro Henrique | Loubet, Benjamin | Laurent, Olivier | Ecologie fonctionnelle et écotoxicologie des agroécosystèmes (ECOSYS) ; AgroParisTech-Université Paris-Saclay-Institut National de Recherche pour l’Agriculture, l’Alimentation et l’Environnement (INRAE) | Laboratoire des Sciences du Climat et de l'Environnement [Gif-sur-Yvette] (LSCE) ; Université de Versailles Saint-Quentin-en-Yvelines (UVSQ)-Institut national des sciences de l'Univers (INSU - CNRS)-Université Paris-Saclay-Centre National de la Recherche Scientifique (CNRS)-Direction de Recherche Fondamentale (CEA) (DRF (CEA)) ; Commissariat à l'énergie atomique et aux énergies alternatives (CEA)-Commissariat à l'énergie atomique et aux énergies alternatives (CEA) | ICOS-ATC (ICOS-ATC) ; Laboratoire des Sciences du Climat et de l'Environnement [Gif-sur-Yvette] (LSCE) ; Université de Versailles Saint-Quentin-en-Yvelines (UVSQ)-Institut national des sciences de l'Univers (INSU - CNRS)-Université Paris-Saclay-Centre National de la Recherche Scientifique (CNRS)-Direction de Recherche Fondamentale (CEA) (DRF (CEA)) ; Commissariat à l'énergie atomique et aux énergies alternatives (CEA)-Commissariat à l'énergie atomique et aux énergies alternatives (CEA)-Université de Versailles Saint-Quentin-en-Yvelines (UVSQ)-Institut national des sciences de l'Univers (INSU - CNRS)-Université Paris-Saclay-Centre National de la Recherche Scientifique (CNRS)-Direction de Recherche Fondamentale (CEA) (DRF (CEA)) ; Commissariat à l'énergie atomique et aux énergies alternatives (CEA)-Commissariat à l'énergie atomique et aux énergies alternatives (CEA) | EU Horizon 2020 (grant no. 101037319; PAUL ICOS-Cities project). The Environnement Ile De France doctoral school (ED129) of the University of Paris-Saclay provided Pedro Henrique Herig Coimbra's PhD grant. | eLTER (Integrated European Long-Term Ecosystem, critical zone and socio-ecological Research)
ARPHA Conference Abstracts 8: e150592
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Show more [+] Less [-]English. Monitoring fluxes of greenhouse gases is crucial to attribute sources and sinks. With advancements in satellite technology offering resolutions smaller than a tower's footprint, we can now have spatially-explicit estimations at the meter scale, a comparable resolution to in-situ observations. This study explores the potential of assimilating tall tower eddy covariance fluxes to calibrate a surface model of CO 2 exchange over a heterogeneous landscape. We present a bayesian inversion strategy which compares an estimated flux supposedly measured by the tower, calculated based on a priori flux map and a footprint model, and the observed flux. Two sites (Saclay and P2OA) are evaluated both consisting of a mix of agricultural, forest and urban patches. The heterogeneous landscape provides an ideal setting to assess the method's ability to distinguish and quantify greenhouse gas flux contributions from different land types.
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