Abstract

Abstract. Here we present a global and regionally resolved terrestrial net biosphere exchange (NBE) dataset with corresponding uncertainties between 2010–2018: Carbon Monitoring System Flux Net Biosphere Exchange 2020 (CMS-Flux NBE 2020). It is estimated using the NASA Carbon Monitoring System Flux (CMS-Flux) top-down flux inversion system that assimilates column CO2 observations from the Greenhouse Gases Observing Satellite (GOSAT) and NASA's Observing Carbon Observatory 2 (OCO-2). The regional monthly fluxes are readily accessible as tabular files, and the gridded fluxes are available in NetCDF format. The fluxes and their uncertainties are evaluated by extensively comparing the posterior CO2 mole fractions with CO2 observations from aircraft and the NOAA marine boundary layer reference sites. We describe the characteristics of the dataset as the global total, regional climatological mean, and regional annual fluxes and seasonal cycles. We find that the global total fluxes of the dataset agree with atmospheric CO2 growth observed by the surface-observation network within uncertainty. Averaged between 2010 and 2018, the tropical regions range from close to neutral in tropical South America to a net source in Africa; these contrast with the extra-tropics, which are a net sink of 2.5±0.3 Gt C/year. The regional satellite-constrained NBE estimates provide a unique perspective for understanding the terrestrial biosphere carbon dynamics and monitoring changes in regional contributions to the changes of atmospheric CO2 growth rate. The gridded and regional aggregated dataset can be accessed at https://doi.org/10.25966/4v02-c391 (Liu et al., 2020).

Highlights

  • New “top-down” inversion frameworks that harness satellite observations provide an important complement to global aggregated fluxes (e.g., Global Carbon Project, Friedlingstein et al, 2019)and inversions based on surface CO2 observations (e.g., Crowell et al, 2019)

  • We present the global and regional net biosphere exchange (NBE) dataset as a series of maps, time series and tables, and disseminate it as a public dataset for further analysis and comparison to other sources of flux information

  • The aircraft observations used in this study include those published in ObsPack August 2019 (CarbonTracker team, 2019), which include regular vertical profiles from flask samples collected on light aircraft by NOAA (Sweeney et al, 2015) and other laboratories, aircraft campaigns from

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Summary

Introduction

New “top-down” inversion frameworks that harness satellite observations provide an important complement to global aggregated fluxes (e.g., Global Carbon Project, Friedlingstein et al, 2019). Inversions based on surface CO2 observations (e.g., Crowell et al, 2019). These satelliteconstrained estimates resolve regional fluxes, and disentangle net biosphere exchange (NBE). Into constituent carbon fluxes including plant gross primary productivity (GPP) and biomass burning through solar-induced fluorescence and carbon monoxide proxies, respectively (Bowman et al, 2017, Liu et al, 2017). Both the spatial and process resolution are critical for evaluating models and reducing uncertainties about future carbon-climate feedbacks (e.g., Friedlingstein et al, 2014). Subsequent papers will present the partitioning of the NBE into constituent gross fluxes

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