2009
DOI: 10.5194/acp-9-8317-2009
|View full text |Cite
|
Sign up to set email alerts
|

Carbon monoxide distributions from the IASI/METOP mission: evaluation with other space-borne remote sensors

Abstract: Abstract. The Infrared Atmospheric Sounding Interferometer (IASI) onboard the MetOp satellite measures carbon monoxide (CO) on a global scale, twice a day. CO total columns and vertical profiles are retrieved in near real time from the nadir radiance spectra measured by the instrument in the thermal infrared (TIR) spectral range. This paper describes the measurement vertical sensitivity and provides a first assessment of the capabilities of IASI to measure CO distributions. On the global scale, 0.8 to 2.4 inde… Show more

Help me understand this report
View preprint versions

Search citation statements

Order By: Relevance

Paper Sections

Select...
2
2
1

Citation Types

5
230
0

Year Published

2013
2013
2018
2018

Publication Types

Select...
6
1

Relationship

3
4

Authors

Journals

citations
Cited by 235 publications
(235 citation statements)
references
References 73 publications
5
230
0
Order By: Relevance
“…The AIRS data show a clear high bias with respect to the other instruments in the SH and a smaller seasonal amplitude in the NH. These biases with MOPITT, TES and IASI have been documented previously by George et al (2009) and Warner et al (2010), and are due to differences in instrument spectral resolution and retrieval methods. In particular, the high bias in SH AIRS V5 data is most likely due to the use of a single global first guess profile (Warner et al, 2010).…”
Section: Monthly Mean Time Series and Instrument Biasesmentioning
confidence: 83%
See 3 more Smart Citations
“…The AIRS data show a clear high bias with respect to the other instruments in the SH and a smaller seasonal amplitude in the NH. These biases with MOPITT, TES and IASI have been documented previously by George et al (2009) and Warner et al (2010), and are due to differences in instrument spectral resolution and retrieval methods. In particular, the high bias in SH AIRS V5 data is most likely due to the use of a single global first guess profile (Warner et al, 2010).…”
Section: Monthly Mean Time Series and Instrument Biasesmentioning
confidence: 83%
“…Total column results are less sensitive than profile retrievals to differences in vertical sensitivity that are due to instrument parameters, such as spectral resolution, and the choice of constraints in the retrieval algorithms. However there are differences in the instrument column averaging kernels, as shown in George et al (2009), that would give slightly different results if applied to the same atmospheric distribution.…”
Section: Monthly Mean Time Series and Instrument Biasesmentioning
confidence: 99%
See 2 more Smart Citations
“…The IASI CO total columns retrievals by the FORLI algorithm (Hurtmans et al, 2012;George et al, 2009;Clerbaux et al, 2009) The IASI data show the increase of CO concentrations over Central Africa and the Eastern Atlantic, from May to July (subdomains SW and SE): under the influence of biomass burning emissions, the CO concentrations are increased by 100%, from ≈ 1.5 10 18 to ≈ 3 10 18 molecules cm −3 .…”
Section: Co Chimere Vs Iasimentioning
confidence: 99%