 |
| Titel |
Tropospheric carbon monoxide variability from AIRS under clear and cloudy conditions |
| VerfasserIn |
J. Warner, F. Carminati, Z. Wei, W. Lahoz, J.-L. Attié |
| Medientyp |
Artikel
|
| Sprache |
Englisch
|
| ISSN |
1680-7316
|
| Digitales Dokument |
URL |
| Erschienen |
In: Atmospheric Chemistry and Physics ; 13, no. 24 ; Nr. 13, no. 24 (2013-12-20), S.12469-12479 |
| Datensatznummer |
250085896
|
| Publikation (Nr.) |
 copernicus.org/acp-13-12469-2013.pdf |
|
|
|
|
|
| Zusammenfassung |
| We study the carbon monoxide (CO) variability in the last decade measured by
NASA's Atmospheric InfraRed Sounder (AIRS) on the Earth Observing System
(EOS)/Aqua satellite. The focus of this study is to analyze CO variability
and short-term trends separately for background CO and fresh CO emissions
based on a new statistical approach. The AIRS Level 2 (L2) retrieval
algorithm utilizes cloud clearing to treat cloud contaminations in the
signals, and this increases the data coverage significantly to a yield of
more than 50% of the total measurements. We first study if the cloud
clearing affects CO retrievals and the subsequent trend studies by using the
collocated Moderate Resolution Imaging Spectroradiometer (MODIS) cloud mask
to identify AIRS clear sky scenes. We then carry out a science analysis using
AIRS CO data individually for the clear and cloud-cleared scenes to identify
any potential effects due to cloud clearing. We also introduce a new
technique to separate background and recently emitted CO observations, which
aims to constrain emissions using only satellite CO data. We validate the CO
variability of the recent emissions estimated from AIRS against other
emission inventory databases (i.e., Global Fire Emissions Database – GFED3
and the MACC/CityZEN UE – MACCity) and calculate that the correlation
coefficients between the AIRS CO recently emitted and the emission inventory
databases are 0.726 for the Northern Hemisphere (NH) and 0.915 for the
Southern Hemisphere (SH). The high degree of agreement between emissions
identified using only AIRS CO and independent inventory sources demonstrates
the validity of this approach to separate recent emissions from the
background CO using one satellite data set. |
| |
|
| Teil von |
|
|
|
|
|
|
|
|