Remote sensor for tropospheric trace gas soundings from a satellite

Tadao Aoki; Masashi Fukabori; Teruo Aoki

doi:10.1117/12.333654

21 December 1998 Remote sensor for tropospheric trace gas soundings from a satellite

Tadao Aoki, Masashi Fukabori, Teruo Aoki

Proceedings Volume 3498, Sensors, Systems, and Next-Generation Satellites II; (1998) https://doi.org/10.1117/12.333654
Event: Remote Sensing, 1998, Barcelona, Spain

Abstract

A conceptual design is given for the space borne sensor to measure the three dimensional distribution of trace gases in the troposphere. The sensor makes spectral measurements of trace gas absorption lines in the surface reflected solar radiation. Only a few absorption lines are selected by a narrow band pass filter and scanned by a tunable etalon with the resolution better than 0.1 cm^-1. The sensitivity and vertical resolution of this sensor system to the variation the trace gas amount are examined with using radiative transfer model that includes the single scattering of solar radiation by air molecules and aerosols. Some examples of measurements are shown with a ground-based sensor for water vapor vertical profile.

Citation Download Citation

Tadao Aoki, Masashi Fukabori, and Teruo Aoki "Remote sensor for tropospheric trace gas soundings from a satellite", Proc. SPIE 3498, Sensors, Systems, and Next-Generation Satellites II, (21 December 1998); https://doi.org/10.1117/12.333654

ACCESS THE FULL ARTICLE

INSTITUTIONAL
Select your institution to access the SPIE Digital Library.

SELECT YOUR INSTITUTION

PERSONAL
Sign in with your SPIE account to access your personal subscriptions or to use specific features such as save to my library, sign up for alerts, save searches, etc.

PERSONAL SIGN IN

No SPIE Account? Create one

PURCHASE THIS CONTENT

SUBSCRIBE TO DIGITAL LIBRARY

50 downloads per 1-year subscription

Members: $195

Non-members: $335 ADD TO CART

25 downloads per 1 - year subscription

Members: $145

Non-members: $250 ADD TO CART

PURCHASE SINGLE ARTICLE

Includes PDF, HTML & Video, when available