Ability of the 4-D-Var analysis of the GOSAT BESD XCO2 retrievals to characterize atmospheric CO2 at large and synoptic scales
In: ISSN: 1680-7316, 2016
Online
academicJournal
Zugriff:
International audience ; This study presents results from the European Centre for Medium-Range Weather Forecasts (ECMWF) carbon dioxide (CO 2) analysis system where the atmospheric CO 2 is controlled through the assimilation of column-averaged dry-air mole fractions of CO 2 (XCO 2) from the Greenhouse gases Observing Satellite (GOSAT). The analysis is compared to a free-run simulation (without assimilation of XCO 2), and they are both evaluated against XCO 2 data from the Total Carbon Column Observing Network (TC-CON). We show that the assimilation of the GOSAT XCO 2 product from the Bremen Optimal Estimation Differential Optical Absorption Spectroscopy (BESD) algorithm during the year 2013 provides XCO 2 fields with an improved mean absolute error of 0.6 parts per million (ppm) and an improved station-to-station bias deviation of 0.7 ppm compared to the free run (1.1 and 1.4 ppm, respectively) and an improved estimated precision of 1 ppm compared to the GOSAT BESD data (3.3 ppm). We also show that the analysis has skill for synoptic situations in the vicinity of frontal systems, where the GOSAT retrievals are sparse due to cloud contamination. We finally computed the 10-day forecast from each analysis at 00:00 UTC, and we demonstrate that the CO 2 forecast shows synoptic skill for the largest-scale weather patterns (of the order of 1000 km) even up to day 5 compared to its own analysis.
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Ability of the 4-D-Var analysis of the GOSAT BESD XCO2 retrievals to characterize atmospheric CO2 at large and synoptic scales
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Autor/in / Beteiligte Person: | Massart, Sébastien ; Agustí-Panareda, Anna ; Heymann, Jens ; Buchwitz, Michael ; Chevallier, Frederic ; Reuter, Maximilian ; Hilker, Michael ; Burrows, John ; Deutscher, Nicholas ; Feist, Dietrich ; Hase, Frank ; Sussmann, Ralf ; Desmet, Filip ; Dubey, Manvendra ; Griffith, David ; Kivi, Rigel ; Petri, Christof ; Schneider, Matthias ; Velazco, Voltaire ; European Centre for Medium-Range Weather Forecasts (ECMWF) ; Institute of Environmental Physics Bremen (IUP) ; University of Bremen ; 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) ; Modélisation INVerse pour les mesures atmosphériques et SATellitaires (SATINV) ; 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)) ; Max Planck Institute for Biogeochemistry (MPI-BGC) ; Max-Planck-Gesellschaft ; Karlsruhe Institute of Technology (KIT) ; University of Antwerp (UA) ; Los Alamos National Laboratory (LANL) ; School of Chemistry Wollongong ; University of Wollongong Australia ; Finnish Meteorological Institute (FMI) |
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Zeitschrift: | ISSN: 1680-7316, 2016 |
Veröffentlichung: | HAL CCSD ; European Geosciences Union, 2016 |
Medientyp: | academicJournal |
DOI: | 10.5194/ACP-16-1653-2016 |
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