Improved retrievals of carbon dioxide from Orbiting Carbon Observatory-2 with the version 8 ACOS algorithm
Since September 2014, NASA's Orbiting Carbon Observatory-2 (OCO-2) satellite has been taking measurements of reflected solar spectra and using them to infer atmospheric carbon dioxide levels. This work provides details of the OCO-2 retrieval algorithm, versions 7 and 8, used to derive the colum...
Saved in:
| Published in | Atmospheric measurement techniques Vol. 11; no. 12; pp. 6539 - 6576 |
|---|---|
| Main Authors | , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , |
| Format | Journal Article |
| Language | English |
| Published |
Katlenburg-Lindau
Copernicus GmbH
11.12.2018
European Geosciences Union Copernicus Publications |
| Subjects | |
| Online Access | Get full text |
| ISSN | 1867-8548 1867-1381 1867-8548 |
| DOI | 10.5194/amt-11-6539-2018 |
Cover
| Summary: | Since September 2014, NASA's Orbiting Carbon Observatory-2 (OCO-2)
satellite has been taking measurements of reflected solar spectra and using
them to infer atmospheric carbon dioxide levels. This work provides details
of the OCO-2 retrieval algorithm, versions 7 and 8, used to derive the
column-averaged dry air mole fraction of atmospheric CO2
(XCO2) for the roughly 100 000 cloud-free measurements recorded
by OCO-2 each day. The algorithm is based on the Atmospheric Carbon
Observations from Space (ACOS) algorithm which has been applied to
observations from the Greenhouse Gases Observing SATellite (GOSAT) since
2009, with modifications necessary for OCO-2. Because high accuracy,
better than 0.25 %, is required in order to accurately infer carbon
sources and sinks from XCO2, significant errors and regional-scale
biases in the measurements must be minimized. We discuss efforts to filter
out poor-quality measurements, and correct the remaining good-quality
measurements to minimize regional-scale biases. Updates to the radiance
calibration and retrieval forward model in version 8 have improved many
aspects of the retrieved data products. The version 8 data appear to have
reduced regional-scale biases overall, and demonstrate a clear improvement
over the version 7 data. In particular, error variance with respect to TCCON
was reduced by 20 % over land and 40 % over ocean between versions 7
and 8, and nadir and glint observations over land are now more consistent.
While this paper documents the significant improvements in the ACOS
algorithm, it will continue to evolve and improve as the CO2 data
record continues to expand. |
|---|---|
| Bibliography: | ObjectType-Article-1 SourceType-Scholarly Journals-1 ObjectType-Feature-2 content type line 14 USDOE Office of Science (SC). Biological and Environmental Research (BER) (SC-23) 89233218CNA000001 LA-UR-19-22771 |
| ISSN: | 1867-8548 1867-1381 1867-8548 |
| DOI: | 10.5194/amt-11-6539-2018 |