Preprints
https://doi.org/10.5194/acp-2022-674
https://doi.org/10.5194/acp-2022-674
 
04 Oct 2022
04 Oct 2022
Status: this preprint is currently under review for the journal ACP.

Establishment of an analytical model for remote sensing of typical stratocumulus cloud profiles under various precipitation and entrainment conditions

Huazhe Shang1,2, Souichiro Hioki2, Guillaume Penide2, Céline Cornet2, Husi Letu1, and Jérôme Riedi2 Huazhe Shang et al.
  • 1State Key Laboratory of Remote Sensing Science, The Aerospace Information Research Institute, Chinese Academy of Sciences, Beijing, 100101, China
  • 2UMR 8518 - LOA - Laboratoire d’Optique Atmosphérique, Univ. Lille, CNRS, Lille, F-59000, France

Abstract. Structural patterns of cloud effective radius (ER) and liquid water content (LWC) profiles are essential variables of cloud lifecycle and precipitation processes, while observing cloud profiles from passive remote sensing sensors remains highly challenging. Understanding whether there exist typical structural patterns of ER and LWC profiles in liquid clouds and how they link with cloud entrainment or precipitating status is critical in developing algorithms to derive cloud profiles from passive satellite sensors. This study aims to address these questions and provide a preliminary foundation for the develop-ment of liquid cloud profile retrievals for the Multi-viewing, Multi-channel and Multi-polarization Imaging (3MI) sensor aboard the European Organization for the Exploitation of Meteorological Satellites (EUMETSAT) Polar System-Second Generation (EPS-SG) satellite, which is scheduled to be launched in 2025. Firstly, we simulate a large ensemble of strato-cumulus cloud profiles using the Colorado State University (CSU) Regional Atmospheric Modeling System (RAMS). The empirical orthogonal function (EOF) analysis is adopted to describe the shape of simulated profiles with a limited number of elemental profile variations. Our results indicate that the first three EOFs of LWC and ER profiles can explain >90 % of LWC and ER profiles. The profiles are classified into four prominent patterns and all of these patterns can be simplified as triangle-shaped polylines. The frequency of these four patterns is found to relate to intensities of the cloud-top entrainment and precipitation. Based on these analyses, we propose a simplified triangle-shape cloud profile parameterization scheme allowing to represent these main patterns of LWC and ER. This simple yet physically realistic analytical model of cloud profiles is expected to facilitate the representation of cloud properties in advanced retrieval algorithms such as those devel-oped for the 3MI/EPS-SG.

Huazhe Shang et al.

Status: final response (author comments only)

Comment types: AC – author | RC – referee | CC – community | EC – editor | CEC – chief editor | : Report abuse
  • RC1: 'Comment on acp-2022-674', Anonymous Referee #1, 31 Oct 2022
  • RC2: 'Comment on acp-2022-674', Anonymous Referee #2, 30 Nov 2022

Huazhe Shang et al.

Huazhe Shang et al.

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Short summary
We find that cloud profiles can be classified into four prominent patterns and the frequency of these four patterns is relate to intensities of the cloud-top entrainment and precipitation. Based on these analyses, we further propose a cloud profile parameterization scheme allowing to represent these patterns. Our results would shed light on how to facilitate the representation of cloud profiles and how to link with cloud entrainment or precipitating status in future remote sensing applications.
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