Paper
4 January 1995 OHIO concept: refinements on a design for satellite-based measurements of stratospheric OH
Kelly Van Chance, Jan J. Wijnbergen, Paul de Valk, Wolfgang Schneider, John P. Burrows
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Abstract
The OH Interferometer Observations (OHIO) concept is an option for the generalized far infrared Fabry-Perot instrument, optimized for satellite-based measurement of the OH radical in the earth's stratosphere with the simplest possible instrument configuration. This paper gives refined design parameters for OHIO. The design presented uses entirely existing, demonstrated technology, does not require stored cryogens, and concentrates on thermal emission measurements of OH, the one stratospheric species which can be measured uniquely and well in the far infrared from a satellite. Measurements are of the F1, 7/2+ yields F1, 5/2- transition at 118.455 cm-1 (84.42 micrometers ), which has been demonstrated to be the best spectral feature for atmospheric measurements of OH. The current design parameters, including realistic values for Fabry-Perot transmission, detector performance, and filtering required to suppress radiation passed in the higher orders of the grating monochromator, are demonstrated to be within a factor of four of what is required for global measurements of OH. Thus, with a modest further improvements in detector performance and spectrometer design, we may soon be able to demonstrated a working concept for a potential satellite instrument.
© (1995) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Kelly Van Chance, Jan J. Wijnbergen, Paul de Valk, Wolfgang Schneider, and John P. Burrows "OHIO concept: refinements on a design for satellite-based measurements of stratospheric OH", Proc. SPIE 2311, Atmospheric Sensing and Modelling, (4 January 1995); https://doi.org/10.1117/12.198581
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Cited by 1 scholarly publication.
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KEYWORDS
Sensors

Satellites

Fabry–Perot interferometers

Far infrared

Spectral resolution

Atmospheric modeling

Atmospheric sensing

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