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Intensity Simulation of a Fourier Transform Infrared Spectrometer
Zhuoya Ni1, Qifeng Lu1,2, Yishu Xu3
1Key Laboratory of Radiometric Calibration and Validation for Environment Satellites, National Satellite Meteorological Center, China Meteorological Administration, Beijing 100081, China.
This study presents an intensity simulation for Fourier transform infrared spectrometers, crucial for on-orbit monitoring and data processing. The simulation accurately accounts for off-axis effects and non-linearity, ensuring reliable hyperspectral infrared observations.
Area of Science:
- Earth Observation
- Spectroscopy
- Optical Instrumentation
Background:
- Fourier transform infrared spectrometers are vital for atmospheric and Earth observation.
- Accurate on-orbit monitoring and data processing require robust instrument simulations.
- The Geostationary Interferometric Infrared Imager (GIIRS) on Fengyun-4B (FY-4B) will provide advanced hyperspectral infrared data.
Purpose of the Study:
- To develop and validate an intensity simulation for Michelson interferometer-based Fourier transform infrared spectrometers.
- To support on-orbit monitoring and enhance data processing for instruments like GIIRS.
- To analyze the impact of off-axis effects and non-linearity on spectral measurements.
Main Methods:
- Systematic analysis of an intensity simulation using GIIRS instrument parameters.
- Incorporation of off-axis effects (wavenumber shift) and non-linearity response into the simulation.
- Development of off-axis and non-linearity correction algorithms for the simulation process.
Main Results:
- Off-axis effects were found to cause significant brightness temperature errors.
- Non-linearity response was shown to reduce detector energy reception.
- The developed corrections reduced brightness temperature errors to approximately 10^-3 K.
Conclusions:
- The intensity simulation, including off-axis and non-linearity corrections, is reliable and rational.
- The simulation provides essential support for the on-orbit monitoring of Fourier transform infrared spectrometers.
- This work improves the data processing and application of hyperspectral infrared observations from spaceborne instruments.
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