Article (Scientific journals)
Ground-based remote sensing of tropospheric water vapour isotopologues within the project MUSICA
Schneider, M.; Barthlott, S.; Hase, F. et al.
2012In Atmospheric Measurement Techniques, 5 (2012), p. 3007-3027
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Keywords :
ground-based remote sensing; water vapour; isotopologues
Abstract :
[en] Within the project MUSICA (MUlti-platform remote Sensing of Isotopologues for investigating the Cycle of Atmospheric water), long-term tropospheric water vapour isotopologue data records are provided for ten globally distributed ground-based mid-infrared remote sensing stations of the NDACC (Network for the Detection of Atmospheric Composition Change). We present a new method allowing for an extensive and straightforward characterisation of the complex nature of such isotopologue remote sensing datasets. We demonstrate that the MUSICA humidity profiles are representative for most of the troposphere with a vertical resolution ranging from about 2 km (in the lower troposphere) to 8 km (in the upper troposphere) and with an estimated precision of better than 10%. We find that the sensitivity with respect to the isotopologue composition is limited to the lower and middle troposphere, whereby we estimate a precision of about 30‰ for the ratio between the two isotopologues HD16O and H216O. The measurement noise, the applied atmospheric temperature profiles, the uncertainty in the spectral baseline, and the cross-dependence on humidity are the leading error sources. We introduce an a posteriori correction method of the cross-dependence on humidity, and we recommend applying it to isotopologue ratio remote sensing datasets in general. In addition, we present mid-infrared CO2 retrievals and use them for demonstrating the MUSICA network-wide data consistency. In order to indicate the potential of long-term isotopologue remote sensing data if provided with a well-documented quality, we present a climatology and compare it to simulations of an isotope incorporated AGCM (Atmospheric General Circulation Model). We identify differences in the multi-year mean and seasonal cycles that significantly exceed the estimated errors, thereby indicating deficits in the modeled atmospheric water cycle.
Disciplines :
Earth sciences & physical geography
Author, co-author :
Schneider, M.
Barthlott, S.
Hase, F.
González, Y.
Yoshimura, K.
García, O.E.
Sepúlveda, E.
Gomez-Pelaez, A.
Gisi, M.
Kohlhepp, R.
Dohe, S.
Blumenstock, T.
Wiegele, A.
Christner, E.
Strong, K.
Weaver, D.
Palm, Mathias
Deutscher, N.M.
Warneke, T.
Notholt, Justus
Lejeune, Bernard ;  Université de Liège - ULiège > Département d'astrophys., géophysique et océanographie (AGO) > Groupe infra-rouge de phys. atmosph. et solaire (GIRPAS)
Demoulin, Philippe ;  Université de Liège - ULiège > Département d'astrophys., géophysique et océanographie (AGO) > Groupe infra-rouge de phys. atmosph. et solaire (GIRPAS)
Jones, N.
Griffith, D.W.T.
Smale, D.
Robinson, J.
More authors (16 more) Less
Language :
English
Title :
Ground-based remote sensing of tropospheric water vapour isotopologues within the project MUSICA
Publication date :
05 December 2012
Journal title :
Atmospheric Measurement Techniques
ISSN :
1867-1381
eISSN :
1867-8548
Publisher :
Copernicus, Katlenburg-Lindau, Germany
Volume :
5
Issue :
2012
Pages :
3007-3027
Peer reviewed :
Peer Reviewed verified by ORBi
European Projects :
FP7 - 256961 - MUSICA - Multi-platform remote sensing of isotopologues for investigating the cycle of atmospheric water
Funders :
CER - Conseil Européen de la Recherche [BE]
CE - Commission Européenne [BE]
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