On the consistency of methane retrievals using the Total Carbon Column Observing Network (TCCON) and multiple spectroscopic databases

The next and current generations of methane-retrieving satellite instruments are reliant on the Total Carbon Column Observing Network (TCCON) for validation. Understanding the biases inherent in TCCON and satellite methane retrievals is as important now as when TCCON started in 2004. In this study w...

Full description

Bibliographic Details
Published in:Atmospheric Measurement Techniques
Main Authors: Malina, Edward, Veihelmann, Ben, Buschmann, Matthias, Deutscher, Nicholas M., Feist, Dietrich G., Morino, Isamu
Format: Article in Journal/Newspaper
Language:English
Published: Copernicus Publications 2022
Subjects:
Online Access:https://doi.org/10.5194/amt-15-2377-2022
https://noa.gwlb.de/receive/cop_mods_00060709
https://noa.gwlb.de/servlets/MCRFileNodeServlet/cop_derivate_00060303/amt-15-2377-2022.pdf
https://amt.copernicus.org/articles/15/2377/2022/amt-15-2377-2022.pdf
id ftnonlinearchiv:oai:noa.gwlb.de:cop_mods_00060709
record_format openpolar
institution Open Polar
collection Niedersächsisches Online-Archiv NOA
op_collection_id ftnonlinearchiv
language English
topic article
Verlagsveröffentlichung
spellingShingle article
Verlagsveröffentlichung
Malina, Edward
Veihelmann, Ben
Buschmann, Matthias
Deutscher, Nicholas M.
Feist, Dietrich G.
Morino, Isamu
On the consistency of methane retrievals using the Total Carbon Column Observing Network (TCCON) and multiple spectroscopic databases
topic_facet article
Verlagsveröffentlichung
description The next and current generations of methane-retrieving satellite instruments are reliant on the Total Carbon Column Observing Network (TCCON) for validation. Understanding the biases inherent in TCCON and satellite methane retrievals is as important now as when TCCON started in 2004. In this study we highlight possible biases between different methane products by assessing the retrievals of the main methane isotopologue 12CH4. Using the TCCON GGG2014 retrieval environment, retrievals are performed using five separate spectroscopic databases from four separate TCCON sites (namely, Ascension Island, Ny-Ålesund, Darwin and Tsukuba) over the course of a year. The spectroscopic databases include those native to TCCON, GGG2014 and GGG2020; the high-resolution transmission molecular absorption database 2016 (HITRAN2016); the Gestion et Etude des Informations Spectroscopiques Atmosphériques 2020 (GEISA2020) database; and the ESA Scientific Exploitation of Operational Missions – Improved Atmospheric Spectroscopy Databases (SEOM-IAS). We assess the biases in retrieving methane using the standard TCCON windows and the methane window used by the Sentinel-5 Precursor (S5P) TROPOspheric Ozone Monitoring Instrument (TROPOMI) for each of the different spectroscopic databases. By assessing the retrieved 12CH4 values from individual windows against the standard TCCON retrievals, we find bias values of between 0.05 and 2.5 times the retrieval noise limit. These values vary depending on the window and TCCON site, with Ascension Island showing the lowest biases (typically <0.5) and Ny-Ålesund or Tsukuba showing the largest. For the spectroscopic databases, GEISA2020 shows the largest biases, often greater than 1.5 across the TCCON sites and considered windows. The TROPOMI spectral window (4190–4340 cm−1) shows the largest biases of all the spectral windows, typically >1, for all spectroscopic databases, suggesting that further improvements in spectroscopic parameters are necessary. We further assess the sensitivity of these biases to locally changing atmospheric conditions such as the solar zenith angle (SZA), water vapour and temperature. We find evidence of significant non-linear relationships between the variation in local conditions and the retrieval biases based on regression analysis. In general, each site, database and window combination indicates different degrees of sensitivity, with GEISA2020 often showing the most sensitivity for all TCCON sites. Ny-Ålesund and Tsukuba show the most sensitivity to variations in local condition, while Ascension Island indicates limited sensitivity. Finally, we investigate the biases associated with retrieving 13CH4 from each TCCON site and spectroscopic database, through the calculation of δ13C values. We find high levels of inconsistency, in some cases >100 ‰ between databases, suggesting more work is required to refine the spectroscopic parameters of 13CH4.
format Article in Journal/Newspaper
author Malina, Edward
Veihelmann, Ben
Buschmann, Matthias
Deutscher, Nicholas M.
Feist, Dietrich G.
Morino, Isamu
author_facet Malina, Edward
Veihelmann, Ben
Buschmann, Matthias
Deutscher, Nicholas M.
Feist, Dietrich G.
Morino, Isamu
author_sort Malina, Edward
title On the consistency of methane retrievals using the Total Carbon Column Observing Network (TCCON) and multiple spectroscopic databases
title_short On the consistency of methane retrievals using the Total Carbon Column Observing Network (TCCON) and multiple spectroscopic databases
title_full On the consistency of methane retrievals using the Total Carbon Column Observing Network (TCCON) and multiple spectroscopic databases
title_fullStr On the consistency of methane retrievals using the Total Carbon Column Observing Network (TCCON) and multiple spectroscopic databases
title_full_unstemmed On the consistency of methane retrievals using the Total Carbon Column Observing Network (TCCON) and multiple spectroscopic databases
title_sort on the consistency of methane retrievals using the total carbon column observing network (tccon) and multiple spectroscopic databases
publisher Copernicus Publications
publishDate 2022
url https://doi.org/10.5194/amt-15-2377-2022
https://noa.gwlb.de/receive/cop_mods_00060709
https://noa.gwlb.de/servlets/MCRFileNodeServlet/cop_derivate_00060303/amt-15-2377-2022.pdf
https://amt.copernicus.org/articles/15/2377/2022/amt-15-2377-2022.pdf
long_lat ENVELOPE(73.317,73.317,-52.983,-52.983)
geographic Ny-Ålesund
The Sentinel
geographic_facet Ny-Ålesund
The Sentinel
genre Ny Ålesund
Ny-Ålesund
genre_facet Ny Ålesund
Ny-Ålesund
op_relation Atmospheric Measurement Techniques -- http://www.bibliothek.uni-regensburg.de/ezeit/?2505596 -- http://www.atmospheric-measurement-techniques.net/ -- 1867-8548
https://doi.org/10.5194/amt-15-2377-2022
https://noa.gwlb.de/receive/cop_mods_00060709
https://noa.gwlb.de/servlets/MCRFileNodeServlet/cop_derivate_00060303/amt-15-2377-2022.pdf
https://amt.copernicus.org/articles/15/2377/2022/amt-15-2377-2022.pdf
op_rights https://creativecommons.org/licenses/by/4.0/
uneingeschränkt
info:eu-repo/semantics/openAccess
op_rightsnorm CC-BY
op_doi https://doi.org/10.5194/amt-15-2377-2022
container_title Atmospheric Measurement Techniques
container_volume 15
container_issue 8
container_start_page 2377
op_container_end_page 2406
_version_ 1766154519338549248
spelling ftnonlinearchiv:oai:noa.gwlb.de:cop_mods_00060709 2023-05-15T17:48:27+02:00 On the consistency of methane retrievals using the Total Carbon Column Observing Network (TCCON) and multiple spectroscopic databases Malina, Edward Veihelmann, Ben Buschmann, Matthias Deutscher, Nicholas M. Feist, Dietrich G. Morino, Isamu 2022-04 electronic https://doi.org/10.5194/amt-15-2377-2022 https://noa.gwlb.de/receive/cop_mods_00060709 https://noa.gwlb.de/servlets/MCRFileNodeServlet/cop_derivate_00060303/amt-15-2377-2022.pdf https://amt.copernicus.org/articles/15/2377/2022/amt-15-2377-2022.pdf eng eng Copernicus Publications Atmospheric Measurement Techniques -- http://www.bibliothek.uni-regensburg.de/ezeit/?2505596 -- http://www.atmospheric-measurement-techniques.net/ -- 1867-8548 https://doi.org/10.5194/amt-15-2377-2022 https://noa.gwlb.de/receive/cop_mods_00060709 https://noa.gwlb.de/servlets/MCRFileNodeServlet/cop_derivate_00060303/amt-15-2377-2022.pdf https://amt.copernicus.org/articles/15/2377/2022/amt-15-2377-2022.pdf https://creativecommons.org/licenses/by/4.0/ uneingeschränkt info:eu-repo/semantics/openAccess CC-BY article Verlagsveröffentlichung article Text doc-type:article 2022 ftnonlinearchiv https://doi.org/10.5194/amt-15-2377-2022 2022-04-24T23:09:44Z The next and current generations of methane-retrieving satellite instruments are reliant on the Total Carbon Column Observing Network (TCCON) for validation. Understanding the biases inherent in TCCON and satellite methane retrievals is as important now as when TCCON started in 2004. In this study we highlight possible biases between different methane products by assessing the retrievals of the main methane isotopologue 12CH4. Using the TCCON GGG2014 retrieval environment, retrievals are performed using five separate spectroscopic databases from four separate TCCON sites (namely, Ascension Island, Ny-Ålesund, Darwin and Tsukuba) over the course of a year. The spectroscopic databases include those native to TCCON, GGG2014 and GGG2020; the high-resolution transmission molecular absorption database 2016 (HITRAN2016); the Gestion et Etude des Informations Spectroscopiques Atmosphériques 2020 (GEISA2020) database; and the ESA Scientific Exploitation of Operational Missions – Improved Atmospheric Spectroscopy Databases (SEOM-IAS). We assess the biases in retrieving methane using the standard TCCON windows and the methane window used by the Sentinel-5 Precursor (S5P) TROPOspheric Ozone Monitoring Instrument (TROPOMI) for each of the different spectroscopic databases. By assessing the retrieved 12CH4 values from individual windows against the standard TCCON retrievals, we find bias values of between 0.05 and 2.5 times the retrieval noise limit. These values vary depending on the window and TCCON site, with Ascension Island showing the lowest biases (typically <0.5) and Ny-Ålesund or Tsukuba showing the largest. For the spectroscopic databases, GEISA2020 shows the largest biases, often greater than 1.5 across the TCCON sites and considered windows. The TROPOMI spectral window (4190–4340 cm−1) shows the largest biases of all the spectral windows, typically >1, for all spectroscopic databases, suggesting that further improvements in spectroscopic parameters are necessary. We further assess the sensitivity of these biases to locally changing atmospheric conditions such as the solar zenith angle (SZA), water vapour and temperature. We find evidence of significant non-linear relationships between the variation in local conditions and the retrieval biases based on regression analysis. In general, each site, database and window combination indicates different degrees of sensitivity, with GEISA2020 often showing the most sensitivity for all TCCON sites. Ny-Ålesund and Tsukuba show the most sensitivity to variations in local condition, while Ascension Island indicates limited sensitivity. Finally, we investigate the biases associated with retrieving 13CH4 from each TCCON site and spectroscopic database, through the calculation of δ13C values. We find high levels of inconsistency, in some cases >100 ‰ between databases, suggesting more work is required to refine the spectroscopic parameters of 13CH4. Article in Journal/Newspaper Ny Ålesund Ny-Ålesund Niedersächsisches Online-Archiv NOA Ny-Ålesund The Sentinel ENVELOPE(73.317,73.317,-52.983,-52.983) Atmospheric Measurement Techniques 15 8 2377 2406