Articles | Volume 17, issue 24
Biogeosciences, 17, 6393–6422, 2020
https://doi.org/10.5194/bg-17-6393-2020
Biogeosciences, 17, 6393–6422, 2020
https://doi.org/10.5194/bg-17-6393-2020

Research article 17 Dec 2020

Research article | 17 Dec 2020

Lagged effects regulate the inter-annual variability of the tropical carbon balance

A. Anthony Bloom et al.

Data sets

The ERA-Interim Archive P. Berrisford, D. Dee, P. Poli, R. Brugge, K. Fielding, M. Fuentes, P. Kallberg, S. Kobayashi, S. Uppala, and A. Simmons https://www.ecmwf.int/en/forecasts/datasets/reanalysis-datasets/era-interim

Analysis of daily, monthly, and annual burned area using the fourth- generation global fire emissions database (GFED4) L. Giglio, J. T. Randerson, and G. R. van der Werf https://globalfiredata.org/pages/data/

MOD15A2 MODIS/Terra Leaf Area Index/FPAR 8-Day L4 Global 1km SIN Grid R. Myneni, K. Yuri, and T. Park https://e4ftl01.cr.usgs.gov/MOLT/

Global Soil Organic Carbon Estimates and the Harmonized World Soil Database R. Hiederer and M. Kochy https://esdac.jrc.ec.europa.eu/content/global-soil-organic-carbon-estimates

Global Carbon Monoxide (CO) Flux Estimates for 2001-2015 A. A. Bloom, Z. Jiang, and H. Worden https://dashrepo.ucar.edu/dataset/CO_Flux_Inversion_Attribution.html

FLUXCOM Global Land Energy Fluxes 2018 M. Jung https://doi.org/10.17871/FLUXCOM_EnergyFluxes_v1

FLUXCOM Global Land Carbon Fluxes 2020 M. Jung https://doi.org/10.17871/FLUXCOM_CarbonFluxes_v1

Estimation of terrestrial global 100 gross primary production (GPP) with satellite data-driven models and eddy covariance flux data J. Joiner, Y. Yoshida, Y. Zhang, G. Duveiller, M. Jung, A. Lyapustin, Y. Wang, and C. J. Tucker https://avdc.gsfc.nasa.gov/pub/tmp/FluxSat_GPP/

MOD16A_MONTHLY.MERRA_GMAO_1kmALB S. W. Running http://files.ntsg.umt.edu/data/NTSG_Products/MOD16/

Trends in Atmospheric Carbon Dioxide NOAA/GML E. Dlugokencky and P. Tans https://www.esrl.noaa.gov/gmd/ccgg/trends/

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Short summary
We use a model of the 2001–2015 tropical land carbon cycle, with satellite measurements of land and atmospheric carbon, to disentangle lagged and concurrent effects (due to past and concurrent meteorological events, respectively) on annual land–atmosphere carbon exchanges. The variability of lagged effects explains most 2001–2015 inter-annual carbon flux variations. We conclude that concurrent and lagged effects need to be accurately resolved to better predict the world's land carbon sink.
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