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dc.contributor.authorByrne, B
dc.contributor.authorJones, DBA
dc.contributor.authorStrong, K
dc.contributor.authorPolavarapu, SM
dc.contributor.authorHarper, AB
dc.contributor.authorBaker, DF
dc.contributor.authorMaksyutov, S
dc.date.accessioned2019-12-05T15:33:03Z
dc.date.issued2019-10-22
dc.description.abstractInterannual variations in temperature and precipitation impact the carbon balance of terrestrial ecosystems, leaving an imprint in atmospheric CO2. Quantifying the impact of climate anomalies on the net ecosystem exchange (NEE) of terrestrial ecosystems can provide a constraint to evaluate terrestrial biosphere models against and may provide an emergent constraint on the response of terrestrial ecosystems to climate change. We investigate the spatial scales over which interannual variability in NEE can be constrained using atmospheric CO2 observations from the Greenhouse Gases Observing Satellite (GOSAT). NEE anomalies are calculated by performing a series of inversion analyses using the GEOS-Chem adjoint model to assimilate GOSAT observations. Monthly NEE anomalies are compared to "proxies", variables that are associated with anomalies in the terrestrial carbon cycle, and to upscaled NEE estimates from FLUXCOM. Statistically significant correlations (P<0.05) are obtained between posterior NEE anomalies and anomalies in soil temperature and FLUXCOM NEE on continental and larger scales in the tropics, as well as in the northern extratropics on subcontinental scales during the summer (R2≥0.49), suggesting that GOSAT measurements provide a constraint on NEE interannual variability (IAV) on these spatial scales. Furthermore, we show that GOSAT flux inversions are generally better correlated with the environmental proxies and FLUXCOM NEE than NEE anomalies produced by a set of terrestrial biosphere models (TBMs), suggesting that GOSAT flux inversions could be used to evaluate TBM NEE fluxes.en_GB
dc.description.sponsorshipEnvironment and Climate Change Canadaen_GB
dc.description.sponsorshipNatural Sciences and Engineering Research Council of Canadaen_GB
dc.description.sponsorshipCanadian Space Agencyen_GB
dc.identifier.citationVol. 19 (20), pp. 13017 - 13035en_GB
dc.identifier.doi10.5194/acp-19-13017-2019
dc.identifier.grantnumberGCXE17S037en_GB
dc.identifier.grantnumberRGPIN 197367-11en_GB
dc.identifier.grantnumber11STFATO38en_GB
dc.identifier.urihttp://hdl.handle.net/10871/39986
dc.language.isoenen_GB
dc.publisherEuropean Geosciences Union (EGU) / Copernicus Publicationsen_GB
dc.rights© Author(s) 2019. Open access. This work is distributed under the Creative Commons Attribution 4.0 License.en_GB
dc.titleOn what scales can GOSAT flux inversions constrain anomalies in terrestrial ecosystems?en_GB
dc.typeArticleen_GB
dc.date.available2019-12-05T15:33:03Z
dc.identifier.issn1680-7316
dc.descriptionThis is the final version. Available on open access from European Geosciences Union via the DOI in this recorden_GB
dc.descriptionData availability. CarbonTracker CT2016 results were provided by NOAA ESRL, Boulder, Colorado, USA, from the website at https://www.esrl.noaa.gov/gmd/ccgg/carbontracker/ (National Oceanic and Atmospheric Administration (NOAA) Earth System Laboratory (ESRL), 2019a). CASA GFED 4.1 and CASA CMS NEE fluxes were also downloaded from the CT2016 website. The GOSAT L4 product and VISIT NEE were downloaded from the GOSAT Data Archive Service (https://data2.gosat.nies.go.jp; NIES, 2019). The Dai Global Palmer Drought Severity Index was downloaded from the Research Data Archive at the National Center for Atmospheric Research, Computational and Information Systems Laboratory (https://doi.org/10.5065/D6QF8R93; Dai, 2017). NASA GOME-2 SIF products were obtained from the Aura Validation Data Center (https://avdc.gsfc.nasa.gov/; Aura Validation Data Center, 2019). FLUXCOM products were obtained from the data portal of the Max Planck Institute for Biochemistry (https://www.bgc-jena.mpg.de/geodb/projects/Home.php.; Max Plank Institue for Biogeochemistry, 2019). MERRA-2 products were downloaded from MDISC (https://gmao.gsfc.nasa.gov/reanalysis/MERRA-2/; Global Modeling and Assimilation Office, 2019), managed by the NASA Goddard Earth Sciences (GES) Data and Information Services Center (DISC). The GEOS-Chem forward and adjoint models are freely available to the public. Instructions for downloading and running the models can be found at http://wiki.seas.harvard.edu/geos-chem (Atmospheric Chemistry Modeling Group at Harvard University , 2019). ACOS GOSAT lite files were obtained from the CO2 Virtual Science Data Environment (https://co2.jpl.nasa.gov/; Jet Propulsion Laboratory, California Institute of Technology, 2019). The SST anomalies were downloaded from the National Oceanic and Atmospheric Administration (NOAA) Earth System Research Laboratory (ESRL) website (https://www.esrl.noaa.gov; National Oceanic and Atmospheric Administration (NOAA) Earth System Laboratory (ESRL), 2019b).en_GB
dc.identifier.journalAtmospheric Chemistry and Physicsen_GB
dc.rights.urihttps://creativecommons.org/licenses/by/4.0/en_GB
dcterms.dateAccepted2019-09-17
rioxxterms.versionVoRen_GB
rioxxterms.licenseref.startdate2019-10-22
rioxxterms.typeJournal Article/Reviewen_GB
refterms.dateFCD2019-12-05T15:31:01Z
refterms.versionFCDVoR
refterms.dateFOA2019-12-05T15:33:09Z
refterms.panelBen_GB


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© Author(s) 2019. Open access. This work is distributed under
the Creative Commons Attribution 4.0 License.
Except where otherwise noted, this item's licence is described as © Author(s) 2019. Open access. This work is distributed under the Creative Commons Attribution 4.0 License.