17 May 2023
 | 17 May 2023
Status: this preprint is open for discussion and under review for Atmospheric Measurement Techniques (AMT).

Single field-of-view sounder atmospheric product retrieval algorithm: establishing radiometric consistency for hyper-spectral sounder retrievals

Wan Wu, Xu Liu, Liqiao Lei, Xiaozhen Xiong, Qiguang Yang, Qing Yue, Daniel K. Zhou, and Allen M. Larar

Abstract. The Single Field-of-view (SFOV) Sounder Atmospheric Product (SiFSAP) retrieval algorithm has been developed to address the need to retrieve high spatial resolution atmospheric data products from hyper-spectral sounders and ensure the radiometric consistency between the retrieved properties and measured spectral radiances. It is based on an integrated optimal estimation inversion scheme that processes data from the satellite based synergistic microwave (MW) and infrared (IR) spectral measurements from advanced sounders. The retrieval system utilizes the principal component radiative transfer model (PCRTM) which performs radiative transfer calculations monochromatically and includes accurate cloud scattering simulations. SiFSAP includes temperature, water vapor, surface skin temperature and emissivity, cloud height and microphysical properties, and concentrations of essential trace gases for each SFOV at a native instrument spatial resolution. Error estimations are provided based on a rigorous analysis for uncertainty propagation from the Top-Of-Atmosphere (TOA) spectral radiances to the retrieved geophysical properties. As a comparison, the spatial resolution for the traditional hyper-spectral sounder retrieval products is much coarser than the native resolution of the instruments due to common use of the ‘cloud clearing’ technique to compensate for the lack of cloud scattering simulation in the forward model. The degraded spatial resolution in traditional cloud-clearing sounder retrieval products limits their applications for capturing meteorological or climate signals at finer spatial scales. Moreover, rigorous uncertainty propagation estimation needed for long-term climate trend studies cannot be given due to the lack of direct radiative transfer relationships between the observed TOA radiances and the retrieved geophysical properties. With advantages of the higher spatial resolution, the simultaneous retrieval of atmospheric, cloud, and surface properties using all available spectral information, and the establishment of ‘radiance closure’ in the sounder spectral measurements, the SiFSAP provides additional information needed for various weather and climate studies and applications using sounding observations. This paper gives an overview of SiFSAP retrieval algorithm, and assessment of SiFSAP atmospheric temperature, water vapor, clouds, and surface products derived from the Cross-track Infrared Sounder (CrIS) and Advanced Technology Microwave Sounder (ATMS) data.

Wan Wu et al.

Status: open (until 07 Jul 2023)

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Wan Wu et al.

Wan Wu et al.


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Short summary
We present a new operational physical retrieval algorithm that is used to retrieve atmospheric properties for each single field-of-view measurements of hyper-spectral IR sounders. The physical scheme includes cloud scattering calculation in its forward simulation part. The data product generated using this algorithm has advantage over traditional IR sounder data production algorithms in terms of improved spatial resolution and minimized error due to cloud contamination.