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| Titel |
The Greenhouse Gas Climate Change Initiative (GHG-CCI): comparative validation of GHG-CCI SCIAMACHY/ENVISAT and TANSO-FTS/GOSAT CO2 and CH4 retrieval algorithm products with measurements from the TCCON |
| VerfasserIn |
B. Dils, M. Buchwitz, M. Reuter, O. Schneising, H. Boesch, R. Parker, S. Guerlet, I. Aben, T. Blumenstock, J. P. Burrows, A. Butz, N. M. Deutscher, C. Frankenberg, F. Hase, O. P. Hasekamp, J. Heymann, M. De Mazière, J. Notholt, R. Sussmann, T. Warneke, D. Griffith, V. Sherlock, D. Wunch |
| Medientyp |
Artikel
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| Sprache |
Englisch
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| ISSN |
1867-1381
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| Digitales Dokument |
URL |
| Erschienen |
In: Atmospheric Measurement Techniques ; 7, no. 6 ; Nr. 7, no. 6 (2014-06-17), S.1723-1744 |
| Datensatznummer |
250115820
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| Publikation (Nr.) |
 copernicus.org/amt-7-1723-2014.pdf |
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| Zusammenfassung |
Column-averaged dry-air mole fractions of carbon dioxide and methane have
been retrieved from spectra acquired by the TANSO-FTS (Thermal And Near-infrared Sensor
for carbon Observations-Fourier Transform Spectrometer) and SCIAMACHY (Scanning
Imaging Absorption Spectrometer for Atmospheric Cartography)
instruments on board GOSAT (Greenhouse gases Observing SATellite) and
ENVISAT (ENVIronmental SATellite), respectively, using a range of
European retrieval algorithms. These retrievals have been compared with data
from ground-based high-resolution Fourier transform spectrometers (FTSs)
from the Total Carbon Column Observing Network (TCCON). The participating
algorithms are the weighting function modified differential optical
absorption spectroscopy (DOAS) algorithm (WFMD, University of Bremen), the
Bremen optimal estimation DOAS algorithm (BESD, University of Bremen), the
iterative maximum a posteriori DOAS (IMAP, Jet Propulsion Laboratory (JPL)
and Netherlands Institute for Space Research algorithm (SRON)), the proxy and
full-physics versions of SRON's RemoTeC algorithm (SRPR and SRFP,
respectively) and the proxy and full-physics versions of the University of
Leicester's adaptation of the OCO (Orbiting Carbon Observatory) algorithm
(OCPR and OCFP, respectively). The goal of this algorithm inter-comparison
was to identify strengths and weaknesses of the various so-called round-
robin data sets generated with the various algorithms so as to determine
which of the competing algorithms would proceed to the next round of the
European Space Agency's (ESA) Greenhouse Gas Climate Change Initiative
(GHG-CCI) project, which is the generation of the so-called Climate Research
Data Package (CRDP), which is the first version of the Essential Climate
Variable (ECV) "greenhouse gases" (GHGs).
For XCO2, all algorithms reach the precision requirements for inverse
modelling (< 8 ppm), with only WFMD having a lower precision (4.7 ppm)
than the other algorithm products (2.4–2.5 ppm). When looking at the
seasonal relative accuracy (SRA, variability of the bias in space and time),
none of the algorithms have reached the demanding < 0.5 ppm
threshold.
For XCH4, the precision for both SCIAMACHY products (50.2 ppb for IMAP
and 76.4 ppb for WFMD) fails to meet the < 34 ppb threshold for
inverse modelling, but note that this work focusses on the period after the
2005 SCIAMACHY detector degradation. The GOSAT XCH4 precision ranges
between 18.1 and 14.0 ppb. Looking at the SRA, all GOSAT algorithm products
reach the < 10 ppm threshold (values ranging between 5.4 and 6.2 ppb).
For SCIAMACHY, IMAP and WFMD have a SRA of 17.2 and 10.5 ppb, respectively. |
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