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Global atmospheric CO2 inverse models converging on neutral tropical land exchange, but disagreeing on fossil fuel and atmospheric growth rate.
Gaubert, Benjamin; Stephens, Britton B; Basu, Sourish; Chevallier, Frédéric; Deng, Feng; Kort, Eric A; Patra, Prabir K; Peters, Wouter; Rödenbeck, Christian; Saeki, Tazu; Schimel, David; Van der Laan-Luijkx, Ingrid; Wofsy, Steven; Yin, Yi.
Afiliação
  • Gaubert B; Atmospheric Chemistry Observations & Modeling Laboratory (ACOM), National Center for Atmospheric Research, Boulder, CO, USA.
  • Stephens BB; Earth Observing Laboratory (EOL), National Center for Atmospheric Research, Boulder, CO, USA.
  • Basu S; Earth System Research Laboratory, National Oceanic and Atmospheric Administration, Boulder, CO, USA.
  • Chevallier F; Cooperative Institute for Research in Environmental Sciences, University of Colorado, Boulder, CO, USA.
  • Deng F; Laboratoire des Sciences du Climat et de l'Environnement, Institut Pierre-Simon Laplace, CEA-CNRS-UVSQ, Gif sur Yvette, 91191 CEDEX, France.
  • Kort EA; Department of Physics, University of Toronto, Toronto, Canada.
  • Patra PK; Climate and Space Sciences and Engineering, University of Michigan, Ann Arbor, MI, USA.
  • Peters W; RGGC/IACE/ACMPT, Japan Agency for Marine-Earth Science and Technology (JAMSTEC), Yokohama 236 0001, Japan.
  • Rödenbeck C; Meteorology and Air Quality, Wageningen University, Wageningen, the Netherlands.
  • Saeki T; Max Planck Institute for Biogeochemistry, 07745 Jena, Germany.
  • Schimel D; Center for Global Environmental Research, National Institute for Environmental Studies, Tsukuba, Japan.
  • Van der Laan-Luijkx I; Jet Propulsion Laboratory, California Institute of Technology, Pasadena, CA, USA.
  • Wofsy S; Meteorology and Air Quality, Wageningen University, Wageningen, the Netherlands.
  • Yin Y; School of Engineering and Applied Science and Department of Earth and Planetary Sciences, Harvard University, Cambridge, MA, USA.
Biogeosciences ; 16(1): 117-134, 2019.
Article em En | MEDLINE | ID: mdl-31708981
ABSTRACT
We have compared a suite of recent global CO2 atmospheric inversion results to independent airborne observations and to each other, to assess their dependence on differences in northern extratropical (NET) vertical transport and to identify some of the drivers of model spread. We evaluate posterior CO2 concentration profiles against observations from the High-Performance Instrumented Airborne Platform for Environmental Research (HIAPER) Pole-to-Pole Observations (HIPPO) aircraft campaigns over the mid-Pacific in 2009-2011. Although the models differ in inverse approaches, assimilated observations, prior fluxes, and transport models, their broad latitudinal separation of land fluxes has converged significantly since the Atmospheric Carbon Cycle Inversion Intercomparison (TransCom 3) and the REgional Carbon Cycle Assessment and Processes (RECCAP) projects, with model spread reduced by 80% since TransCom 3 and 70% since RECCAP. Most modeled CO2 fields agree reasonably well with the HIPPO observations, specifically for the annual mean vertical gradients in the Northern Hemisphere. Northern Hemisphere vertical mixing no longer appears to be a dominant driver of northern versus tropical (T) annual flux differences. Our newer suite of models still gives northern extratropical land uptake that is modest relative to previous estimates (Gurney et al., 2002; Peylin et al., 2013) and near-neutral tropical land uptake for 2009-2011. Given estimates of emissions from deforestation, this implies a continued uptake in intact tropical forests that is strong relative to historical estimates (Gurney et al., 2002; Peylin et al., 2013). The results from these models for other time periods (2004-2014, 2001-2004, 1992-1996) and reevaluation of the TransCom 3 Level 2 and RECCAP results confirm that tropical land carbon fluxes including deforestation have been near neutral for several decades. However, models still have large disagreements on ocean-land partitioning. The fossil fuel (FF) and the atmospheric growth rate terms have been thought to be the best-known terms in the global carbon budget, but we show that they currently limit our ability to assess regional-scale terrestrial fluxes and ocean-land partitioning from the model ensemble.

Texto completo: 1 Base de dados: MEDLINE Tipo de estudo: Prognostic_studies Idioma: En Ano de publicação: 2019 Tipo de documento: Article

Texto completo: 1 Base de dados: MEDLINE Tipo de estudo: Prognostic_studies Idioma: En Ano de publicação: 2019 Tipo de documento: Article