Carbon dioxide retrieval from OCO-2 satellite observations using the RemoTeC algorithm and validation with TCCON measurements

Lianghai Wu , Otto Hasekamp , Haili Hu , Jochen Landgraf , Andre Butz , Joost Aan de Brugh , Ilse Aben , Dave F. Pollard , David W. T. Griffith , Dietrich G. Feist , Dmitry Koshelev (1) , Frank Hase , Geoffrey C. Toon , Hirofumi Ohyama , Isamu Morino , Justus Notholt , Kei Shiomi , Laura Iraci , Matthias Schneider , Martine de Mazière , Ralf Sussmann , Rigel Kivi , Thorsten Warneke , Tae-Young Goo , Yao Té (1)

1 LERMA - Laboratoire d'Etude du Rayonnement et de la Matière en Astrophysique

In this study we present the retrieval of the column-averaged dry air mole fraction of carbon dioxide (X_CO2) from the Orbiting Carbon Observatory-2 (OCO-2) satellite observations using the RemoTeC algorithm, previously successfully applied to retrieval of greenhouse gas concentration from the Greenhouse Gases Observing Satellite (GOSAT). The X_CO2 product has been validated with collocated ground-based measurements from the Total Carbon Column Observing Network (TCCON) for almost 2 years of OCO-2 data from September 2014 to July 2016. We found that fitting an additive radiometric offset in all three spectral bands of OCO-2 significantly improved the retrieval. Based on a small correlation of the X_CO2 error over land with goodness of fit, we applied an a posteriori bias correction to our OCO-2 retrievals. In overpass averaged results, X_CO2 retrievals have an SD of ∼ 1.30 ppm and a station-to-station variability of ∼ 0.40 ppm among collocated TCCON sites. The seasonal relative accuracy (SRA) has a value of 0.52 ppm. The validation shows relatively larger difference with TCCON over high-latitude areas and some specific regions like Japan.

Domaines: Planète et Univers [physics]

Lianghai Wu, Otto Hasekamp, Haili Hu, Jochen Landgraf, Andre Butz, et al.. Carbon dioxide retrieval from OCO-2 satellite observations using the RemoTeC algorithm and validation with TCCON measurements. Atmospheric Measurement Techniques, 2018, 11, pp.3111-3130. ⟨10.5194/amt-11-3111-2018⟩. ⟨insu-03718937⟩