elib
DLR-Header
DLR-Logo -> http://www.dlr.de
DLR Portal Home | Imprint | Privacy Policy | Contact | Deutsch
Fontsize: [-] Text [+]

CO Total Column Retrieval from SCIAMACHY: Full-Mission Validation with NDACC and TCCON

Hochstaffl, Philipp and Schreier, Franz and Gimeno-Garcia, Sebastian and Lichtenberg, Günter (2017) CO Total Column Retrieval from SCIAMACHY: Full-Mission Validation with NDACC and TCCON. IWGGMS #13 Helsinki, 6.-8. Jun 2017, Helsinki.

[img] PDF
4MB

Abstract

Verification and validation are critical elements of any code development, and mandatory for the assessment of spaceborne remote sensing products. The objective was to perform intercomparisons of CO columns estimated from SCIAMACHY with temporal coincidented and co-located retrievals provided by ground-based Fourier transform infrared spectroscopy. More specifically, we used column averaged dry air mole fractions from several NDACC (Network for the Detection of Atmospheric Composition Change) and TCCON (Total Carbon Column Observing Network) stations. Like SCIAMACHY's channel 8 the TCCON instruments utilize the 2.3 mue band of carbon monoxide, whereas NDACC observes the CO mid infrared absorption. In most cases, satellite validation is based on statistical comparison (specifically true for SCIAMACHY with its large signal to noise ratio per observation (Gimeno Garcia et al. 2011)) with reference data. However, satellite and reference measurements do neither exactly match in time and space (mistime and misdistance) nor address the same volume of air (misintegration). Hence, the natural atmospheric variability leads to differences between both data sets and these differences must not be interpreted in terms of a satellites instrument malfunction (Verhoelst et al. 2015). The validation strategy presented here accounts for spatial (and in selected cases temporal) induced mismatches. The outcome of the study demonstrates that spatial (and temporal) averaging is required in order to minimize representation errors. Increased deviations of the spaceborne and ground-based columns in the later years of the mission clearly demonstrated the impact of the degrading channel 8 detector. Therefore, in order to perform a comprehensive full-mission (2003 - 2012) validation of the SCIAMACHY dataset, an approach providing more observations within a given time interval and sampling area had been utilized. The results reveal that the combination of these methods lead to acceptable agreement of SCIAMACHY CO data with most g-b reference sites (within the standard deviation). In addition the effect of whether using the mean or median of the datasets for comparison was investigated. The outcome demonstrates that the differences between the SCIAMACHY CO mean and median values are within 1-10 percent in most cases and within the standard deviation of the reference observations.

Item URL in elib:https://elib.dlr.de/113843/
Document Type:Conference or Workshop Item (Poster)
Title:CO Total Column Retrieval from SCIAMACHY: Full-Mission Validation with NDACC and TCCON
Authors:
AuthorsInstitution or Email of AuthorsAuthors ORCID iD
Hochstaffl, Philippphilipp.hochstaffl (at) dlr.deUNSPECIFIED
Schreier, FranzFranz.Schreier (at) dlr.dehttps://orcid.org/0000-0001-7196-6599
Gimeno-Garcia, Sebastiansebastian.gimenogarcia (at) dlr.deUNSPECIFIED
Lichtenberg, Günterguenter.lichtenberg (at) dlr.deUNSPECIFIED
Date:June 2017
Refereed publication:No
Open Access:Yes
Gold Open Access:No
In SCOPUS:No
In ISI Web of Science:No
Status:Published
Keywords:validation SCIAMACHY NDACC TCCON groundbased carbon-monoxide weighting mismatch representation-errors
Event Title:IWGGMS #13 Helsinki
Event Location:Helsinki
Event Type:international Conference
Event Dates:6.-8. Jun 2017
Organizer:Finnish Meteorological Institute
HGF - Research field:Aeronautics, Space and Transport
HGF - Program:Space
HGF - Program Themes:Earth Observation
DLR - Research area:Raumfahrt
DLR - Program:R EO - Erdbeobachtung
DLR - Research theme (Project):Vorhaben Spectroscopic Methods in Remote Sensing
Location: Oberpfaffenhofen
Institutes and Institutions:Remote Sensing Technology Institute > Atmospheric Processors
Deposited By: Hochstaffl, Philipp
Deposited On:31 Aug 2017 10:35
Last Modified:31 Jul 2019 20:11

Repository Staff Only: item control page

Browse
Search
Help & Contact
Information
electronic library is running on EPrints 3.3.12
Copyright © 2008-2017 German Aerospace Center (DLR). All rights reserved.