North American terrestrial CO2 fluxes between 2007 and 2015 derived from CarbonTracker-Lagrange

Authors

Lei Hu^1,2, Arlyn E. Andrews², Kirk W. Thoning², Colm Sweeney², John B. Miller², Anna M. Michalak³, Ed Dlugokencky², Pieter P. Tans², Yoichi P. Shiga³, Marikate Mountain⁴, Thomas Nehrkorn⁴, Stephen A. Montzka¹, Kathryn McKai^1,2, Jonathan Kofler^1,2, Michael Trudeau^1,2, Sylvia E. Michel⁵, Sebastien C. Biraud⁶, Marc L. Fischer⁷, Doug E. J. Worthy⁸, Bruce H. Vaughn⁵, James W. C. White⁵, Vineet Yadav⁹, Sourish Basu^1,2, Ivar R van der Velde<sup>1,2

1</sup> Cooperative Institute for Research in Environmental Sciences, University of Colorado-Boulder, Boulder, CO, USA
² Global Monitoring Division, Earth System Research Laboratory, NOAA, Boulder, CO, USA
³ Department of Global Ecology, Carnegie Institution for Science, Stanford, CA, USA
⁴ Atmospheric and Environmental Research, Lexington, MA, USA
⁵ Institute of Arctic and Alpine Research, University of Colorado-Boulder, Boulder, CO, USA
⁶ Earth and Environmental Sciences Area, Lawrence Berkeley National Laboratory, Berkeley, CA, USA
⁷ Environmental Technologies Area, Lawrence Berkeley National Laboratory, Berkeley, CA, USA
⁸ Environment and Climate Change Canada, Toronto, ON, Canada
⁹ Jet Propulsion Laboratory, NASA, Pasadena, CA, USA

Product Description

This product contains monthly and yearly 1°x1° terrestrial CO₂ fluxes between 2007 and 2015 derived from ground-based and airborne CO₂ observations made in the North American portion of the NOAA's Global Greenhouse Gas Reference Network and its cooperative institutes. This product is derived using the CarbonTracker-Lagrange inversion framework. Detailed methods are described in Hu et al. (2019). Fluxes are available from 18 inversion ensembles, but we primarily recommend use of ensemble mean fluxes as our best estimate.

Three-hourly fluxes are also available upon request.

Fair Use Statement

These data are made freely available to the public and the scientific community in the belief that their wide dissemination will lead to greater understanding and new scientific insights. To ensure that GML receives fair credit for their work please include relevant citation text in publications. We encourage users to contact the data providers, who can provide detailed information about the measurements and scientific insight. In cases where the data are central to a publication, co-authorship for data providers may be appropriate.

Citation

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