Paper
18 November 1998 Description of the HIRDLS radiometric model (HIRAM)
Brian R. Johnson, William G. Mankin, John C. Gille
Author Affiliations +
Abstract
We describe a radiometric model developed to simulate the transfer of time-dependent radiant and electrical signals through the High Resolution Dynamics Limb Sounder (HIRDLS). HIRDLS is an infrared limb-scanning satellite radiometer with 21 spectral channels defined by individual narrow band interference filters covering the spectral range from 6 to 18 micrometer. HIRDLS is scheduled to fly onboard the NASA Earth Observing System Chemistry platform to be launched early in the next century. The scientific objectives for HIRDLS place demanding requirements on instrument calibration and radiometric stability, particularly at low signal levels. The HIRDLS Radiometric Model (HIRAM) was developed to provide an analysis tool for evaluating the radiometric sensitivity to various subsystem parameters and observational conditions in support of requirements analyses and conceptual design studies. Instrument characteristics are modeled using analytic expressions where appropriate. HIRAM incorporates the results of detailed design and performance analyses conducted elsewhere (e.g. APART straylight analyses) as input parameters to the model. Random effects, such as detector noise, are generally modeled as band-limited white Gaussian noise. Where spectral dependence is important, such as modeling random line-of-sight jitter, a power spectral density function is used to define the frequency content of a random error source.
© (1998) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Brian R. Johnson, William G. Mankin, and John C. Gille "Description of the HIRDLS radiometric model (HIRAM)", Proc. SPIE 3437, Infrared Spaceborne Remote Sensing VI, (18 November 1998); https://doi.org/10.1117/12.331337
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KEYWORDS
Sensors

Mirrors

Atmospheric modeling

Calibration

Signal processing

Signal detection

Instrument modeling

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