Evaluating the consistency between OCO-2 and OCO-3 XCO<sub>2</sub> estimates derived from the NASA ACOS version 10 retrieval algorithm - Archive ouverte HAL Accéder directement au contenu
Article Dans Une Revue Atmospheric Measurement Techniques Année : 2023

Evaluating the consistency between OCO-2 and OCO-3 XCO2 estimates derived from the NASA ACOS version 10 retrieval algorithm

Abhishek Chatterjee
David Crisp
Annmarie Eldering
Liang Feng
  • Fonction : Auteur
Brendan Fisher
  • Fonction : Auteur
Dejian Fu
Michael Gunson
  • Fonction : Auteur
Vance Haemmerle
  • Fonction : Auteur
Graziela R Keller
  • Fonction : Auteur
Matthäus Kiel
Le Kuai
Thomas Kurosu
  • Fonction : Auteur
Alyn Lambert
Joshua Laughner
Richard Lee
  • Fonction : Auteur
Junjie Liu
Lucas Mandrake
  • Fonction : Auteur
Yuliya Marchetti
  • Fonction : Auteur
Gregory Mcgarragh
  • Fonction : Auteur
Aronne Merrelli
Robert R Nelson
Greg Osterman
  • Fonction : Auteur
Fabiano Oyafuso
  • Fonction : Auteur
Paul I Palmer
Vivienne H Payne
  • Fonction : Auteur
Robert Rosenberg
Peter Somkuti
Gary Spiers
  • Fonction : Auteur
Cathy To
  • Fonction : Auteur
Brad Weir
Paul O Wennberg
Shanshan Yu
  • Fonction : Auteur
Jia Zong
  • Fonction : Auteur

Résumé

Abstract. The version 10 (v10) Atmospheric Carbon Observations from Space (ACOS) Level 2 full-physics (L2FP) retrieval algorithm has been applied to multiyear records of observations from NASA's Orbiting Carbon Observatory 2 and 3 sensors (OCO-2 and OCO-3, respectively) to provide estimates of the carbon dioxide (CO2) column-averaged dry-air mole fraction (XCO2). In this study, a number of improvements to the ACOS v10 L2FP algorithm are described. The post-processing quality filtering and bias correction of the XCO2 estimates against multiple truth proxies are also discussed. The OCO v10 data volumes and XCO2 estimates from the two sensors for the time period of August 2019 through February 2022 are compared, highlighting differences in spatiotemporal sampling but demonstrating broad agreement between the two sensors where they overlap in time and space. A number of evaluation sources applied to both sensors suggest they are broadly similar in data and error characteristics. Mean OCO-3 differences relative to collocated OCO-2 data are approximately 0.2 and −0.3 ppm for land and ocean observations, respectively. Comparison of XCO2 estimates to collocated Total Carbon Column Observing Network (TCCON) measurements shows root mean squared errors (RMSEs) of approximately 0.8 and 0.9 ppm for OCO-2 and OCO-3, respectively. An evaluation against XCO2 fields derived from atmospheric inversion systems that assimilated only near-surface CO2 observations, i.e., did not assimilate satellite CO2 measurements, yielded RMSEs of 1.0 and 1.1 ppm for OCO-2 and OCO-3, respectively. Evaluation of uncertainties in XCO2 over small areas, as well as XCO2 biases across land–ocean crossings, also indicates similar behavior in the error characteristics of both sensors. Taken together, these results demonstrate a broad consistency of OCO-2 and OCO-3 XCO2 measurements, suggesting they may be used together for scientific analyses.
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hal-04191683 , version 1 (30-08-2023)

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Thomas E Taylor, Christopher W O'Dell, David Baker, Carol Bruegge, Albert Chang, et al.. Evaluating the consistency between OCO-2 and OCO-3 XCO2 estimates derived from the NASA ACOS version 10 retrieval algorithm. Atmospheric Measurement Techniques, 2023, 16 (12), pp.3173 - 3209. ⟨10.5194/amt-16-3173-2023⟩. ⟨hal-04191683⟩
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