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

National Institute for Environmental Studies of Japan

Japan National Institute of Information and Communications Technology

P. Baron

Japan National Institute of Information and Communications Technology

J. Mendrok

Luleå tekniska universitet

Japan National Institute of Information and Communications Technology

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

S. Mizobuchi

Japan Aerospace Exploration Agency

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 Waterloo

University of Toronto

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 och modellering

Donal Murtagh

Chalmers, Rymd- och geovetenskap, Global miljömätteknik och modellering

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 Zentrum fur Luft- Und Raumfahrt

G. Wagner

Deutsches Zentrum fur Luft- Und Raumfahrt

F. Schreier

Deutsches Zentrum fur Luft- Und Raumfahrt

J. Xu

Deutsches Zentrum fur Luft- Und Raumfahrt

P. Vogt

Deutsches Zentrum fur Luft- Und Raumfahrt

T. Trautmann

Deutsches Zentrum fur Luft- Und Raumfahrt

M. Yasui

Japan National Institute of Information and Communications Technology

Atmospheric Measurement Techniques

1867-1381 (ISSN) 1867-8548 (eISSN)

Vol. 6 2311-2338

Ämneskategorier

Meteorologi och atmosfärforskning

DOI

10.5194/amt-6-2311-2013