Article (Scientific journals)
Validation of MOPITT carbon monoxide using ground-based Fourier transform infrared spectrometer data from NDACC
Buchholz, R. R.; Deeter, M. N.; Worden, H. M. et al.
2017In Atmospheric Measurement Techniques, 10 (5), p. 1927-1956
Peer Reviewed verified by ORBi
 

Files


Full Text
amt-10-1927-2017.pdf
Publisher postprint (8.7 MB)
Final revised paper
Download

All documents in ORBi are protected by a user license.

Send to



Details



Keywords :
carbon monoxide; validation; NDACC network; atmospheric composition; remote-sensing
Abstract :
[en] The Measurements of Pollution in the Troposphere (MOPITT) satellite instrument provides the longest continuous dataset of carbon monoxide (CO) from space. We perform the first validation of MOPITT version 6 retrievals using total column CO measurements from ground-based remote-sensing Fourier transform infrared spectrometers (FTSs). Validation uses data recorded at 14 stations, that span a wide range of latitudes (80°N to 78°S), in the Network for the Detection of Atmospheric Composition Change (NDACC). MOPITT measurements are spatially co-located with each station, and different vertical sensitivities between instruments are accounted for by using MOPITT averaging kernels (AKs). All three MOPITT retrieval types are analyzed: thermal infrared (TIR-only), joint thermal and near infrared (TIR–NIR), and near infrared (NIR-only). Generally, MOPITT measurements overestimate CO relative to FTS measurements, but the bias is typically less than 10%. Mean bias is 2.4% for TIR-only, 5.1% for TIR–NIR, and 6.5% for NIR-only. The TIR–NIR and NIR-only products consistently produce a larger bias and lower correlation than the TIR-only. Validation performance of MOPITT for TIR-only and TIR–NIR retrievals over land or water scenes is equivalent. The four MOPITT detector element pixels are validated separately to account for their different uncertainty characteristics. Pixel 1 produces the highest standard deviation and lowest correlation for all three MOPITT products. However, for TIR-only and TIR–NIR, the error-weighted average that includes all four pixels often provides the best correlation, indicating compensating pixel biases and well-captured error characteristics. We find that MOPITT bias does not depend on latitude but rather is influenced by the proximity to rapidly changing atmospheric CO. MOPITT bias drift has been bound geographically to within ±0.5%/yr or lower at almost all locations.
Disciplines :
Earth sciences & physical geography
Author, co-author :
Buchholz, R. R.
Deeter, M. N.
Worden, H. M.
Gille, J.
Edwards, D. P.
Hannigan, J. W.
Jones, N. B.
Paton-Walsh, C.
Griffith, D. W. T.
Smale, D.
Robinson, J.
Strong, K.
Conway, S.
Sussmann, R.
Hase, F.
Blumenstock, T.
Mahieu, Emmanuel  ;  Université de Liège > Département d'astrophys., géophysique et océanographie (AGO) > Groupe infra-rouge de phys. atmosph. et solaire (GIRPAS)
Langerock, B.
More authors (8 more) Less
Language :
English
Title :
Validation of MOPITT carbon monoxide using ground-based Fourier transform infrared spectrometer data from NDACC
Publication date :
01 June 2017
Journal title :
Atmospheric Measurement Techniques
ISSN :
1867-1381
eISSN :
1867-8548
Publisher :
Copernicus, Katlenburg-Lindau, Germany
Volume :
10
Issue :
5
Pages :
1927-1956
Peer reviewed :
Peer Reviewed verified by ORBi
Available on ORBi :
since 01 June 2017

Statistics


Number of views
59 (7 by ULiège)
Number of downloads
130 (3 by ULiège)

Scopus citations®
 
41
Scopus citations®
without self-citations
21
OpenCitations
 
39

Bibliography


Similar publications



Contact ORBi