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Validation of Carbon Monoxide Total Column Retrievals from SCIAMACHY Observations with NDACC/TCCON Ground-Based Measurements

Hochstaffl, Philipp und Schreier, Franz und Lichtenberg, Günter und Gimeno Garcia, Sebastian (2018) Validation of Carbon Monoxide Total Column Retrievals from SCIAMACHY Observations with NDACC/TCCON Ground-Based Measurements. Remote Sensing, 10 (2), Seiten 223-252. Multidisciplinary Digital Publishing Institute (MDPI). doi: 10.3390/rs10020223. ISSN 2072-4292.

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Offizielle URL: http://www.mdpi.com/2072-4292/10/2/223

Kurzfassung

The objective was to validate the carbon monoxide (CO) total column product inferred from Scanning Imaging Absorption Spectrometer for Atmospheric Chartography (SCIAMACHY) full-mission (2003 - 2011) short-wave infrared (SWIR) nadir observations using the Beer InfraRed Retrieval Algorithm (BIRRA). Globally distributed Network for the Detection of Atmospheric Composition Change (NDACC) and Total Carbon Column Observing Network (TCCON) ground-based (g-b) measurements were used as a true reference. Weighted averages of SCIAMACHY CO observations within a circle around the g-b observing system were utilized to minimize effects due to spatial mismatch of space-based (s-b) and g-b observations, i.e., disagreements due to representation errors rather than instrument and/or algorithm deficiencies. In addition, temporal weighted averages were examined and then the unweighted (classical) approach was compared to the weighted (non-classical) method. The delivered distance-based filtered SCIAMACHY data were in better agreement with respect to CO averages as compared to square-shaped sampling areas throughout the year. Errors in individual SCIAMACHY retrievals have increased substantially since 2005. The global bias was determined to be in the order of -10 parts per billion in volume (ppbv) depending on the reference network and validation strategy used. The largest negative bias was found to occur in the northern mid-latitudes in Europe and North America, and was partly caused by insufficient a priori estimates of CO and cloud shielding. Furthermore, no significant trend was identified in the global bias throughout the mission. The global analysis of the CO columns retrieved by the BIRRA shows results that are largely consistent with similar investigations in previous works.

elib-URL des Eintrags:https://elib.dlr.de/126667/
Dokumentart:Zeitschriftenbeitrag
Titel:Validation of Carbon Monoxide Total Column Retrievals from SCIAMACHY Observations with NDACC/TCCON Ground-Based Measurements
Autoren:
AutorenInstitution oder E-Mail-AdresseAutoren-ORCID-iDORCID Put Code
Hochstaffl, PhilippPhilipp.Hochstaffl (at) dlr.dehttps://orcid.org/0000-0001-9537-3050NICHT SPEZIFIZIERT
Schreier, FranzFranz.Schreier (at) dlr.dehttps://orcid.org/0000-0001-7196-6599NICHT SPEZIFIZIERT
Lichtenberg, GünterGuenter.Lichtenberg (at) dlr.dehttps://orcid.org/0000-0002-3335-2008NICHT SPEZIFIZIERT
Gimeno Garcia, Sebastiansebastian.gimenogarcia (at) dlr.deNICHT SPEZIFIZIERTNICHT SPEZIFIZIERT
Datum:1 Februar 2018
Erschienen in:Remote Sensing
Referierte Publikation:Ja
Open Access:Ja
Gold Open Access:Ja
In SCOPUS:Ja
In ISI Web of Science:Ja
Band:10
DOI:10.3390/rs10020223
Seitenbereich:Seiten 223-252
Herausgeber:
HerausgeberInstitution und/oder E-Mail-Adresse der HerausgeberHerausgeber-ORCID-iDORCID Put Code
Liu, Denisedenise.liu (at) mdpi.comNICHT SPEZIFIZIERTNICHT SPEZIFIZIERT
Verlag:Multidisciplinary Digital Publishing Institute (MDPI)
Name der Reihe:Atmosphere Remote Sensing
ISSN:2072-4292
Status:veröffentlicht
Stichwörter:SCIAMACHY; BIRRA; NDACC; TCCON; validation; retrieval; carbon monoxide; mixing ratios; weighted averages
HGF - Forschungsbereich:Luftfahrt, Raumfahrt und Verkehr
HGF - Programm:Raumfahrt
HGF - Programmthema:Erdbeobachtung
DLR - Schwerpunkt:Raumfahrt
DLR - Forschungsgebiet:R EO - Erdbeobachtung
DLR - Teilgebiet (Projekt, Vorhaben):Vorhaben Spektroskopische Verfahren in der Fernerkundung (alt)
Standort: Oberpfaffenhofen
Institute & Einrichtungen:Institut für Methodik der Fernerkundung > Atmosphärenprozessoren
Hinterlegt von: Hochstaffl, Dr. Philipp
Hinterlegt am:05 Mär 2019 10:50
Letzte Änderung:02 Nov 2023 12:03

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