Inter‐Calibration of Geostationary Imager Infrared Bands Using a Hyperspectral Sounder on the Same Platform

Abstract

Using meteorological satellites for long-term and continuous observations plays an important role in weather, climate, and environmental research. Due to the degradation of satellite sensors, performance stability needs to be monitored and evaluated and corrected for any degradation. Imagers onboard geostationary (GEO) weather satellites are important sensors for observing the environment and weather with both high temporal and spatial resolutions.Inter-calibration based on a hyperspectral sensor with high calibration accuracy is an effective way to evaluate the in-orbit calibration accuracy of a broad band imager (Hewison et al., 2013). The existing polar-orbiting hyperspectral IR sensors, such as Infrared Atmospheric Sounder Interferometer (IASI), Cross-track Infrared Sounder (CrIS), and Atmospheric Infrared Sounder (AIRS) (Menzel et al., 2018) have high radiometric/spectral calibration accuracy with stability in-orbit (

Enhancing Clear Radiance Generation for Geostationary Hyperspectral Infrared Sounder Using High Temporal Resolution Information

“…Systematic bias between AGRI and GIIRS under clear skies typically falls within 0.5 K, as shown by Di et al. (2023). These systematic biases affect the accuracy of CCR data and should be removed during the cloud‐clearing processing.…”

“…(a) Radiance biases between AGRI and GIIRS under clear skies due to radiometric calibration uncertainty are relatively significant and non-negligible. Systematic bias between AGRI and GIIRS under clear skies typically falls within 0.5 K, as shown by Di et al (2023). These systematic biases affect the accuracy of CCR data and should be removed during the cloud-clearing processing.…”

Advantages of Inter‐Calibration for Geostationary Satellite Sensors Onboard Twin Satellites

“…Ray‐matching between GEO‐GEO sensors, however, has not been fully investigated as the FORs of GEO sensors cover distinct regions, like in the case of GEMS and TEMPO. Consequently, this technique has primarily been applied to infrared sensors on the same platform (Di et al., 2023) or across a series of satellites, such as the Meteosat or the Geostationary Operational Environmental Satellites (GOES) series (Doelling et al., 2004; Rublev et al., 2018). The characteristic has alternately led to inter‐calibration of the GEO sensors through intermediary means such as numerical weather prediction models (Chander et al., 2013; S. J. Lee & Ahn, 2021).…”