On what scales can GOSAT flux inversions constrain anomalies in terrestrial ecosystems?
dc.contributor.author | Byrne, B | |
dc.contributor.author | Jones, DBA | |
dc.contributor.author | Strong, K | |
dc.contributor.author | Polavarapu, SM | |
dc.contributor.author | Harper, AB | |
dc.contributor.author | Baker, DF | |
dc.contributor.author | Maksyutov, S | |
dc.date.accessioned | 2019-12-05T15:33:03Z | |
dc.date.issued | 2019-10-22 | |
dc.description.abstract | Interannual 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.sponsorship | Environment and Climate Change Canada | en_GB |
dc.description.sponsorship | Natural Sciences and Engineering Research Council of Canada | en_GB |
dc.description.sponsorship | Canadian Space Agency | en_GB |
dc.identifier.citation | Vol. 19 (20), pp. 13017 - 13035 | en_GB |
dc.identifier.doi | 10.5194/acp-19-13017-2019 | |
dc.identifier.grantnumber | GCXE17S037 | en_GB |
dc.identifier.grantnumber | RGPIN 197367-11 | en_GB |
dc.identifier.grantnumber | 11STFATO38 | en_GB |
dc.identifier.uri | http://hdl.handle.net/10871/39986 | |
dc.language.iso | en | en_GB |
dc.publisher | European Geosciences Union (EGU) / Copernicus Publications | en_GB |
dc.rights | © Author(s) 2019. Open access. This work is distributed under the Creative Commons Attribution 4.0 License. | en_GB |
dc.title | On what scales can GOSAT flux inversions constrain anomalies in terrestrial ecosystems? | en_GB |
dc.type | Article | en_GB |
dc.date.available | 2019-12-05T15:33:03Z | |
dc.identifier.issn | 1680-7316 | |
dc.description | This is the final version. Available on open access from European Geosciences Union via the DOI in this record | en_GB |
dc.description | Data 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.journal | Atmospheric Chemistry and Physics | en_GB |
dc.rights.uri | https://creativecommons.org/licenses/by/4.0/ | en_GB |
dcterms.dateAccepted | 2019-09-17 | |
rioxxterms.version | VoR | en_GB |
rioxxterms.licenseref.startdate | 2019-10-22 | |
rioxxterms.type | Journal Article/Review | en_GB |
refterms.dateFCD | 2019-12-05T15:31:01Z | |
refterms.versionFCD | VoR | |
refterms.dateFOA | 2019-12-05T15:33:09Z | |
refterms.panel | B | en_GB |
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