Global background characterization in 4.2- to 4.4-um MWIR by using NOAA-12 data

Hsiao-hua K. Burke; Peter D. Tennyson; John P. Kerekes; Harry R. Finkle; Edward C. Wack

doi:10.1117/12.243010

17 June 1996 Global background characterization in 4.2- to 4.4-μm MWIR by using NOAA-12 data

Hsiao-hua K. Burke, Peter D. Tennyson, John P. Kerekes, Harry R. Finkle, Edward C. Wack

Author Affiliations +

Proceedings Volume 2742, Targets and Backgrounds: Characterization and Representation II; (1996) https://doi.org/10.1117/12.243010
Event: Aerospace/Defense Sensing and Controls, 1996, Orlando, FL, United States

Abstract

Background phenomenology databases and models are essential for the design and assessment of electro-optical sensing systems. The MWIR band has been proposed to satisfy a number of specific requirements in the DoD space based mission areas. However, the phenomenology database in the MWIR to support the design and performance evaluation is limited. Currently the high resolution infrared radiation sounder (HIRS/2) onboard NOAA 12, an operational polar orbiting environmental and weather satellite, offers continual global coverage of several bands in the MWIR. In particular, Channel 17 operates in the heart of the 4.23 micrometer carbon-dioxide band. Though with coarse resolution (approximately 20 km), the vast database offers a good baseline understanding of the MWIR phenomenology related to space based MWIR systems on (1) amplitude variation as function of latitude, season, and solar angle, (2) correlation to relevant MWIR features such as high-altitude clouds, stratospheric warming, aurora and other geomagnetic activities, (3) identification of potential low spatial frequency atmospheric features, and (4) comparison with future dedicated measurements. Statistical analysis on selected multiple orbits over all seasons and geographical regions was conducted. Global magnitude and variation in these bands were established. The overall spatial gradient on the 50 km scale was shown to be within sensor noise; this established the upper bound of spatial frequency in the heart-of-the-carbon-dioxide-band. Results also compared favorably with predictions from atmospheric background models such as the Synthetic High Altitude Radiance Code (SHARC-3).

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Hsiao-hua K. Burke, Peter D. Tennyson, John P. Kerekes, Harry R. Finkle, and Edward C. Wack "Global background characterization in 4.2- to 4.4-μm MWIR by using NOAA-12 data", Proc. SPIE 2742, Targets and Backgrounds: Characterization and Representation II, (17 June 1996); https://doi.org/10.1117/12.243010

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KEYWORDS

Mid-IR

Databases

Statistical analysis

Atmospheric modeling

Data modeling

Spatial frequencies

Clouds

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