Solar Contamination on HIRAS Cold Calibration View and the Corrected Radiance Assessment

• Published in: Remote sensing (Basel, Switzerland) Switzerland), 2021-10, Vol.13 (19), p.3869
• Main Authors: Lee, Lu, Wu, Chunqiang, Qi, Chengli, Hu, Xiuqing, Yuan, Mingge, Gu, Mingjian, Shao, Chunyuan, Zhang, Peng
• Format: Article
• Language: English
• Subjects: Algorithms; Brightness temperature; Calibration; Cold; Contamination; Data assimilation; Deep space; deep-space view angle; DS spectra substitution; HIRAS; Infrared tracking; Intrusion; Light; Orbits; Radiance; Radiation; Satellite tracking; Sensors; Short wave radiation; SNOx; solar contamination; Spectra; spectra integrated energy; Stray light
• ISSN: 2072-4292; 2072-4292
• DOI: 10.3390/rs13193869

The deep-space (DS) view spectra are used as a cold reference to calibrate the Hyperspectral Infrared Atmospheric Sounder (HIRAS) Earth scene (ES) observations. The DS spectra stability in the moving average window is crucial to the calibration accuracy of ES radiances. While in the winter and spring seasons, the HIRAS detector-3 DS view is susceptible to solar stray light intrusion when the satellite flies towards the tail of every descending orbit, and as a result, the measured DS spectra are contaminated by the stray light pseudo spectra, especially in the short-wave infrared (SWIR) band. The solar light intrusion issue was addressed on 13 December 2019 when the DS view angle of the scene selection mirror (SSM) was adjusted from −77.4° to −87°. As for the historic contaminated data, a correction method is applied to detect the anomalous data by checking the continuity of the DS spectra and then replace them with the proximate normal ones. The historic ES observations are recalibrated after the contaminated DS spectra correction. The effect of the correction is assessed by comparing the recalibrated HIRAS radiances with those measured by the Cross-track Infrared Sounder onboard the Suomi National Polar-orbiting Partnership Satellite (SNPP/CrIS) via the extended simultaneous nadir overpasses (SNOx) technique and by checking the consistency among the radiance data from different HIRAS detectors. The results show that the large biases of the radiance brightness temperature (BT) caused by the contamination are ameliorated greatly to the levels observed in the normal conditions.