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Comparisons between ground-based FTIR and MIPAS N2O and HNO 3 profiles before and after assimilation in BASCOE

dc.contributor.authorVigouroux, C.
dc.contributor.authorDe Mazière, M.
dc.contributor.authorErrera, Q.
dc.contributor.authorChabrillat, S.
dc.contributor.authorMahieu, E.
dc.contributor.authorDuchatelet, P.
dc.contributor.authorWood, S.
dc.contributor.authorSmale, D.
dc.contributor.authorMikuteit, S.
dc.contributor.authorBlumenstock, T.
dc.contributor.authorHase, F.
dc.contributor.authorJones, N.
dc.date2007
dc.date.accessioned2016-09-26T19:47:40Z
dc.date.available2016-09-26T19:47:40Z
dc.identifier.urihttps://orfeo.belnet.be/handle/internal/4395
dc.descriptionWithin the framework of the Network for Detection of Atmospheric Composition Change (NDACC), regular ground-based Fourier transform infrared (FTIR) measurements of many species are performed at several locations. Inversion schemes provide vertical profile information and characterization of the retrieved products which are therefore relevant for contributing to the validation of MIPAS profiles in the stratosphere and upper troposphere. We have focused on the species HNO3 and N2O at 5 NDACC-sites distributed in both hemispheres, i.e., Jungfraujoch (46.5° N) and Kiruna (68° N) for the northern hemisphere, and Wollongong (34° S), Lauder (45° S) and Arrival Heights (78° S) for the southern hemisphere. These ground-based data have been compared with MIPAS offline profiles (v4.61) for the year 2003, collocated within 1000 km around the stations, in the lower to middle stratosphere. To get around the spatial collocation problem, comparisons have also been made between the same ground-based FTIR data and the corresponding profiles resulting from the stratospheric 4D-VAR data assimilation system BASCOE constrained by MIPAS data. This paper discusses the results of the comparisons and the usefulness of using BASCOE profiles as proxies for MIPAS data. It shows good agreement between MIPAS and FTIR N2O partial columns: the biases are below 5% for all the stations and the standard deviations are below 7% for the three mid-latitude stations, and below 10% for the high latitude ones. The comparisons with BASCOE partial columns give standard deviations below 4% for the mid-latitude stations to less than 8% for the high latitude ones. After making some corrections to take into account the known bias due to the use of different spectroscopic parameters, the comparisons of HNO3 partial columns show biases below 3% and standard deviations below 15% for all the stations except Arrival Heights (bias of 5%, standard deviation of 21%). The results for this species, which has a larger spatial variability, highlight the necessity of defining appropriate collocation criteria and of accounting for the spread of the observed airmasses. BASCOE appears to have more deficiencies in producing proxies of MIPAS HNO3 profiles compared to N2O, but the obtained standard deviation of less than 10% between BASCOE and FTIR is reasonable. Similar results on profiles comparisons are also shown in the paper, in addition to partial column ones.
dc.languageeng
dc.relation.ispartofseries
dc.titleComparisons between ground-based FTIR and MIPAS N2O and HNO 3 profiles before and after assimilation in BASCOE
dc.typeArticle
dc.subject.frascatiPhysical sciences
dc.audienceScientific
dc.subject.freeassimilation efficiency
dc.subject.freecomparative study
dc.subject.freedata assimilation
dc.subject.freeFTIR spectroscopy
dc.subject.freemodel validation
dc.subject.freenitric acid
dc.subject.freenitrous oxide
dc.subject.freeNorthern Hemisphere
dc.subject.freeSouthern Hemisphere
dc.subject.freestratosphere
dc.subject.freetroposphere
dc.subject.freevertical profile
dc.subject.freeAntarctica
dc.subject.freeArrival Heights
dc.subject.freeAustralasia
dc.subject.freeAustralia
dc.subject.freeBern [Switzerland]
dc.subject.freeCentral Europe
dc.subject.freeEast Antarctica
dc.subject.freeEurasia
dc.subject.freeEurope
dc.subject.freeJungfraujoch
dc.subject.freeKiruna
dc.subject.freeLauder
dc.subject.freeNew South Wales
dc.subject.freeNew Zealand
dc.subject.freeNorrbotten
dc.subject.freeNorthern Europe
dc.subject.freeOtago
dc.subject.freeScandinavia
dc.subject.freeSouth Island
dc.subject.freeSweden
dc.subject.freeSwitzerland
dc.subject.freeWollongong
dc.source.titleAtmospheric Chemistry and Physics
dc.source.volume7
dc.source.issue2
dc.source.page377-396
Orfeo.peerreviewedYes
dc.identifier.doi10.5194/acp-7-377-2007
dc.identifier.scopus2-s2.0-33846608578


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