Atmospheric Chemistry and Physics
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2007
10.5194/acp-7-377-2007
http://www.atmos-chem-phys.net/7/377/2007/
http://www.atmos-chem-phys.net/7/377/2007/acp-7-377-2007.html
http://www.atmos-chem-phys.net/7/377/2007/acp-7-377-2007.pdf
377
396
2007-01-23
Comparisons between ground-based FTIR and MIPAS N<sub>2</sub>O and HNO<sub>3</sub> profiles before and after assimilation in BASCOE
C. Vigouroux
Corinne.Vigouroux@bira-iasb.oma.be
M. De Mazière
Q. Errera
S. Chabrillat
E. Mahieu
P. Duchatelet
S. Wood
D. Smale
S. Mikuteit
T. Blumenstock
F. Hase
N. Jones
Belgian Institute for Space Aeronomy (BIRA-IASB), Brussels, Belgium
Institut d'Astrophysique et de Géophysique, University of Liège (ULg), Liège, Belgium
National Institute for Water and Atmospheric Research (NIWA), Lauder, Otago, New-Zealand
Institute of Meteorology and Climate Research (IMK), Forschungszentrum Karlsruhe and University of Karlsruhe, Karlsruhe, Germany
University of Wollongong, Wollongong, Australia
Within 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 HNO<sub>3</sub> and N<sub>2</sub>O 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
usefullness of using BASCOE profiles as proxies for MIPAS data. It shows good
agreement between MIPAS and FTIR N<sub>2</sub>O 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
HNO<sub>3</sub> 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 HNO<sub>3</sub>
profiles compared to N<sub>2</sub>O, 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.
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