Ensemble-based satellite-derived carbon dioxide and methane column-averaged dry-air mole fraction data sets (2003–2018) for carbon and climate applications - Archive ouverte HAL Accéder directement au contenu
Article Dans Une Revue Atmospheric Measurement Techniques Année : 2020

Ensemble-based satellite-derived carbon dioxide and methane column-averaged dry-air mole fraction data sets (2003–2018) for carbon and climate applications

Maximilian Reuter
  • Fonction : Auteur
Michael Buchwitz
  • Fonction : Auteur
Oliver Schneising
  • Fonction : Auteur
Stefan Noël
  • Fonction : Auteur
Heinrich Bovensmann
  • Fonction : Auteur
John Burrows
Hartmut Boesch
  • Fonction : Auteur
Antonio Di Noia
Jasdeep Anand
  • Fonction : Auteur
Robert Parker
  • Fonction : Auteur
Peter Somkuti
Lianghai Wu
  • Fonction : Auteur
Otto Hasekamp
  • Fonction : Auteur
Ilse Aben
  • Fonction : Auteur
Akihiko Kuze
  • Fonction : Auteur
Hiroshi Suto
  • Fonction : Auteur
Kei Shiomi
Yukio Yoshida
  • Fonction : Auteur
Isamu Morino
David Crisp
Christopher O'Dell
  • Fonction : Auteur
Justus Notholt
Christof Petri
Thorsten Warneke
  • Fonction : Auteur
Voltaire Velazco
Nicholas Deutscher
David Griffith
Rigel Kivi
David Pollard
Frank Hase
  • Fonction : Auteur
Ralf Sussmann
  • Fonction : Auteur
Kimberly Strong
Sébastien Roche
Mahesh Sha
Martine de Mazière
  • Fonction : Auteur
Dietrich Feist
Laura Iraci
Coleen Roehl
Christian Retscher
  • Fonction : Auteur
Dinand Schepers
  • Fonction : Auteur

Résumé

Abstract. Satellite retrievals of column-averaged dry-air mole fractions of carbon dioxide (CO2) and methane (CH4), denoted XCO2 and XCH4, respectively, have been used in recent years to obtain information on natural and anthropogenic sources and sinks and for other applications such as comparisons with climate models. Here we present new data sets based on merging several individual satellite data products in order to generate consistent long-term climate data records (CDRs) of these two Essential Climate Variables (ECVs). These ECV CDRs, which cover the time period 2003–2018, have been generated using an ensemble of data products from the satellite sensors SCIAMACHY/ENVISAT and TANSO-FTS/GOSAT and (for XCO2) for the first time also including data from the Orbiting Carbon Observatory 2 (OCO-2) satellite. Two types of products have been generated: (i) Level 2 (L2) products generated with the latest version of the ensemble median algorithm (EMMA) and (ii) Level 3 (L3) products obtained by gridding the corresponding L2 EMMA products to obtain a monthly 5∘×5∘ data product in Obs4MIPs (Observations for Model Intercomparisons Project) format. The L2 products consist of daily NetCDF (Network Common Data Form) files, which contain in addition to the main parameters, i.e., XCO2 or XCH4, corresponding uncertainty estimates for random and potential systematic uncertainties and the averaging kernel for each single (quality-filtered) satellite observation. We describe the algorithms used to generate these data products and present quality assessment results based on comparisons with Total Carbon Column Observing Network (TCCON) ground-based retrievals. We found that the XCO2 Level 2 data set at the TCCON validation sites can be characterized by the following figures of merit (the corresponding values for the Level 3 product are listed in brackets) – single-observation random error (1σ): 1.29 ppm (monthly: 1.18 ppm); global bias: 0.20 ppm (0.18 ppm); and spatiotemporal bias or relative accuracy (1σ): 0.66 ppm (0.70 ppm). The corresponding values for the XCH4 products are single-observation random error (1σ): 17.4 ppb (monthly: 8.7 ppb); global bias: −2.0 ppb (−2.9 ppb); and spatiotemporal bias (1σ): 5.0 ppb (4.9 ppb). It has also been found that the data products exhibit very good long-term stability as no significant long-term bias trend has been identified. The new data sets have also been used to derive annual XCO2 and XCH4 growth rates, which are in reasonable to good agreement with growth rates from the National Oceanic and Atmospheric Administration (NOAA) based on marine surface observations. The presented ECV data sets are available (from early 2020 onwards) via the Climate Data Store (CDS, https://cds.climate.copernicus.eu/, last access: 10 January 2020) of the Copernicus Climate Change Service (C3S, https://climate.copernicus.eu/, last access: 10 January 2020).
Fichier principal
Vignette du fichier
amt-13-789-2020.pdf (13.33 Mo) Télécharger le fichier
Origine Publication financée par une institution

Dates et versions

hal-03253496 , version 1 (09-06-2021)

Licence

Identifiants

Citer

Maximilian Reuter, Michael Buchwitz, Oliver Schneising, Stefan Noël, Heinrich Bovensmann, et al.. Ensemble-based satellite-derived carbon dioxide and methane column-averaged dry-air mole fraction data sets (2003–2018) for carbon and climate applications. Atmospheric Measurement Techniques, 2020, 13 (2), pp.789-819. ⟨10.5194/amt-13-789-2020⟩. ⟨hal-03253496⟩
91 Consultations
31 Téléchargements

Altmetric

Partager

Gmail Mastodon Facebook X LinkedIn More