Articles | Volume 23, issue 2
Research article
26 Jan 2023
Research article |  | 26 Jan 2023

Using Orbiting Carbon Observatory-2 (OCO-2) column CO2 retrievals to rapidly detect and estimate biospheric surface carbon flux anomalies

Andrew F. Feldman, Zhen Zhang, Yasuko Yoshida, Abhishek Chatterjee, and Benjamin Poulter

Data sets

MERRA-2 tavg3_3d_asm_Nv: 3d, 3-Hourly, Time-Averaged, Model-Level, Assimilation, Assimilated Meteorological Fields V5.12.4 Global Modeling and Assimilation Office (GMAO)

OCO-2 Level 2 bias-corrected XCO2 and other select fields from the full-physics retrieval aggregated as daily files, Retrospective processing V10r OCO-2-Science-Team, M. Gunson, and A. Eldering

Global MODIS and FLUXNET-derived Daily Gross Primary Production, V2 J. Joiner and Y. Yoshida

Model code and software

Model code for the LPJ-wsl_v2.0 Dynamic Global Vegetation Model L. Calle and B. Poulter

Short summary
We investigate the conditions under which satellite-retrieved column carbon dioxide concentrations directly hold information about surface carbon dioxide fluxes, without the use of inversion models. We show that OCO-2 column carbon dioxide retrievals, available at 1–3 month latency, can be used to directly detect and roughly estimate extreme biospheric CO2 fluxes. As such, these OCO-2 retrievals have value for rapidly monitoring extreme conditions in the terrestrial biosphere.
Final-revised paper