Validation of stratospheric and mesospheric ozone observed by SMILES from International Space Station
Artikel i vetenskaplig tidskrift, 2013
We observed ozone (O3) in the vertical region between 250 and 0.0005 hPa (~12-96 km) using the Superconducting Submillimeter-Wave Limb-Emission Sounder (SMILES) on the Japanese Experiment Module (JEM) of the International Space Station (ISS) between 12 October 2009 and 21 April 2010. The new 4K superconducting heterodyne receiver technology of SMILES allowed us to obtain a one order of magnitude better signal-to-noise ratio for the O3 line observation compared to past spaceborne microwave instruments. The non-sun-synchronous orbit of the ISS allowed us to observe O3 at various local times. We assessed the quality of the vertical profiles of O3 in the 100-0.001 hPa (~16-90 km) region for the SMILES NICT Level 2 product version 2.1.5. The evaluation is based on four components: error analysis; internal comparisons of observations targeting three different instrumental setups for the same O3 625.371 GHz transition; internal comparisons of two different retrieval algorithms; and external comparisons for various local times with ozonesonde, satellite and balloon observations (ENVISAT/MIPAS, SCISAT/ACE-FTS, Odin/OSIRIS, Odin/SMR, Aura/MLS, TELIS). SMILES O3 data have an estimated absolute accuracy of better than 0.3ppmv (3%) with a vertical resolution of 3-4km over the 60 to 8hPa range. The random error for a single measurement is better than the estimated systematic error, being less than 1, 2, and 7%, in the 40-1, 80-0.1, and 100-0.004hPa pressure regions, respectively. SMILES O3 abundance was 10-20% lower than all other satellite measurements at 8-0.1 hPa due to an error arising from uncertainties of the tangent point information and the gain calibration for the intensity of the spectrum. SMILES O3 from observation frequency Band-B had better accuracy than that from Band-A. A two month period is required to accumulate measurements covering 24 h in local time of O3 profile. However such a dataset can also contain variation due to dynamical, seasonal, and latitudinal effects. © Author(s) 2013.
Författare
Y. Kasai
Japan National Institute of Information and Communications Technology
Tokyo Institute of Technology
H. Sagawa
Japan National Institute of Information and Communications Technology
D. Kreyling
Japan National Institute of Information and Communications Technology
E. Dupuy
Japan National Institute of Information and Communications Technology
National Institute for Environmental Studies of Japan
P. Baron
Japan National Institute of Information and Communications Technology
J. Mendrok
Japan National Institute of Information and Communications Technology
Luleå tekniska universitet
K. Suzuki
University of Tokyo
Japan National Institute of Information and Communications Technology
T.O. Sato
Japan National Institute of Information and Communications Technology
Tokyo Institute of Technology
T. Nishibori
Japan National Institute of Information and Communications Technology
Japan Aerospace Exploration Agency (JAXA)
S. Mizobuchi
Japan Aerospace Exploration Agency (JAXA)
K. Kikuchi
Japan National Institute of Information and Communications Technology
T. Manabe
Osaka Prefecture University
H. Ozeki
Toho University
T. Sugita
Luleå tekniska universitet
M. Fujiwara
Hokkaido University
Y. Irimajiri
Japan National Institute of Information and Communications Technology
K.A. Walker
University of Toronto
University of Waterloo
P.F. Bernath
Old Dominion University
C.D. Boone
University of Waterloo
G.P. Stiller
Karlsruher Institut für Technologie (KIT)
T. von Clarmann
Karlsruher Institut für Technologie (KIT)
J. Orphal
Karlsruher Institut für Technologie (KIT)
Joachim Urban
Chalmers, Rymd- och geovetenskap, Global miljömätteknik
Donal Murtagh
Chalmers, Rymd- och geovetenskap, Global miljömätteknik
E.J. Llewellyn
University of Saskatchewan
D. A. Degenstein
University of Saskatchewan
A. E. Bourassa
University of Saskatchewan
N.D. Lloyd
University of Saskatchewan
L. Froidevaux
Jet Propulsion Laboratory, California Institute of Technology
M. Birk
Deutsches Zentrums für Luft- und Raumfahrt (DLR)
G. Wagner
Deutsches Zentrums für Luft- und Raumfahrt (DLR)
F. Schreier
Deutsches Zentrums für Luft- und Raumfahrt (DLR)
J. Xu
Deutsches Zentrums für Luft- und Raumfahrt (DLR)
P. Vogt
Deutsches Zentrums für Luft- und Raumfahrt (DLR)
T. Trautmann
Deutsches Zentrums für Luft- und Raumfahrt (DLR)
M. Yasui
Japan National Institute of Information and Communications Technology
Atmospheric Measurement Techniques
1867-1381 (ISSN) 1867-8548 (eISSN)
Vol. 6 9 2311-2338Ämneskategorier
Meteorologi och atmosfärforskning
DOI
10.5194/amt-6-2311-2013