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<datestamp>2018-01-11</datestamp>
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<publisher>HAL CCSD</publisher>
<title lang=en>On the ability of a global atmospheric inversion to constrain variations of CO<sub>2</sub> fluxes over Amazonia</title>
<creator>Molina, P, </creator>
<creator>Broquet, P, </creator>
<creator>Imbach, P, </creator>
<creator>Chevallier, P, </creator>
<creator>Poulter, P</creator>
<creator>Bonal, E, </creator>
<creator>Burban, E, </creator>
<creator>Ramonet, P, </creator>
<creator>Gatti, P, </creator>
<creator>Wofsy, P, </creator>
<creator>Munger, P, </creator>
<creator>Dlugokencky, E, </creator>
<creator>Ciais, Philippe</creator>
<contributor>Institut Pierre-Simon-Laplace (IPSL) ; Centre National de la Recherche Scientifique (CNRS) - Institut national des sciences de l'Univers (INSU - CNRS) - Centre National d'Etudes Spatiales (CNES) - Commissariat à l'énergie atomique et aux énergies alternatives (CEA) - Université Pierre et Marie Curie - Paris 6 (UPMC) - Université de Versailles Saint-Quentin-en-Yvelines (UVSQ) - École normale supérieure - Paris (ENS Paris)</contributor>
<contributor>Centro Agronómico Tropical de Investigación y Enseñanza (CATIE) ; CATIE</contributor>
<contributor>Montana State University (MSU)</contributor>
<contributor>Ecologie et Ecophysiologie Forestières (EEF) ; Institut National de la Recherche Agronomique (INRA) - Université de Lorraine (UL)</contributor>
<contributor>Ecologie des forêts de Guyane (ECOFOG) ; Centre de Coopération Internationale en Recherche Agronomique pour le Développement (CIRAD) - Institut National de la Recherche Agronomique (INRA) - Université des Antilles et de la Guyane (UAG) - AgroParisTech - Université de Guyane (UG) - Centre National de la Recherche Scientifique (CNRS)</contributor>
<contributor>Instituto de Pesquisas Energéticas e Nucleares [São Paulo] (IPEN/CNEN-SP) ; Universidade de São Paulo (USP) - Comissão National de Energia Nuclear (CNEN)</contributor>
<contributor>Department of Earth and Planetary Sciences [Cambridge, USA] (EPS) ; Harvard University [Cambridge]</contributor>
<contributor>National Oceanic and Atmospheric Administration (NOAA)</contributor>
<description>International audience</description>
<source>ISSN: 1680-7316</source>
<source>EISSN: 1680-7324</source>
<source>Atmospheric Chemistry and Physics</source>
<publisher>European Geosciences Union</publisher>
<identifier>hal-01557375</identifier>
<identifier>https://hal.univ-lorraine.fr/hal-01557375</identifier>
<identifier>https://hal.univ-lorraine.fr/hal-01557375/document</identifier>
<identifier>https://hal.univ-lorraine.fr/hal-01557375/file/acp-15-8423-2015.pdf</identifier>
<source>https://hal.univ-lorraine.fr/hal-01557375</source>
<source>Atmospheric Chemistry and Physics, European Geosciences Union, 2015, 15, pp.8423 - 8438. 〈10.5194/acp-15-8423-2015-supplement〉</source>
<identifier>DOI : 10.5194/acp-15-8423-2015-supplement</identifier>
<relation>info:eu-repo/semantics/altIdentifier/doi/10.5194/acp-15-8423-2015-supplement</relation>
<language>en</language>
<subject>[SDV] Life Sciences [q-bio]</subject>
<type>info:eu-repo/semantics/article</type>
<type>Journal articles</type>
<description lang=en>The exchanges of carbon, water and energy between the atmosphere and the Amazon basin have global implications for the current and future climate. Here, the global atmospheric inversion system of the Monitoring of Atmospheric Composition and Climate (MACC) service is used to study the seasonal and interannual variations of biogenic CO 2 fluxes in Amazonia during the period 2002–2010. The system assimilated surface measurements of atmospheric CO 2 mole fractions made at more than 100 sites over the globe into an atmospheric transport model. The present study adds measurements from four surface stations located in tropical South America, a region poorly covered by CO 2 observations. The estimates of net ecosystem exchange (NEE) optimized by the inversion are compared to an independent estimate of NEE upscaled from eddy-covariance flux measurements in Amazonia. They are also qualitatively evaluated against reports on the seasonal and interannual variations of the land sink in South America from the scientific literature. We attempt at assessing the impact on NEE of the strong droughts in 2005 and 2010 (due to severe and longer-than-usual dry seasons) and the extreme rainfall conditions registered in 2009. The spatial variations of the seasonal and in-terannual variability of optimized NEE are also investigated. While the inversion supports the assumption of strong spatial heterogeneity of these variations, the results reveal critical limitations of the coarse-resolution transport model, the surface observation network in South America during the recent years and the present knowledge of modelling uncertainties in South America that prevent our inversion from capturing the seasonal patterns of fluxes across Amazonia. However, some patterns from the inversion seem consistent with the anomaly of moisture conditions in 2009.</description>
<date>2015</date>
</dc>
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