Preprint Article Version 1 Preserved in Portico This version is not peer-reviewed

Added Value of Aerosol Observations of the Future AOS High Spectral Resolution Lidar with Respect to a Classic Backscatter Spaceborne Lidar Measurements

Version 1 : Received: 9 December 2022 / Approved: 13 December 2022 / Online: 13 December 2022 (09:51:59 CET)

A peer-reviewed article of this Preprint also exists.

Cornut, F.; El Amraoui, L.; Cuesta, J.; Blanc, J. Added Value of Aerosol Observations of a Future AOS High Spectral Resolution Lidar with Respect to Classic Backscatter Spaceborne Lidar Measurements. Remote Sens. 2023, 15, 506. Cornut, F.; El Amraoui, L.; Cuesta, J.; Blanc, J. Added Value of Aerosol Observations of a Future AOS High Spectral Resolution Lidar with Respect to Classic Backscatter Spaceborne Lidar Measurements. Remote Sens. 2023, 15, 506.

Abstract

In the context of the Atmospheric Observing System (AOS) international program, a new generation spaceborne lidar is expected to be in polar orbit for deriving new observations of aerosol and clouds. In this work, we analyze the added values of these new observations for characterizing aerosol vertical distribution. For this, synthetic observations are simulated using the BLISS lidar simulator in terms of backscatter coefficient at 532 nm. We consider two types of lidar instruments, an elastic backscatter lidar instrument and a high spectral resolution lidar (HSRL). These simulations are performed with atmospheric profiles from a Nature Run (NR) modeled by the MOCAGE Chemical Transport Model. In three case studies involving large events of different aerosol species, the added value of the HSRL channel for measuring aerosol backscatter profiles with respect to simple backscatter measurements is shown. Observations independent from an a-priori lidar Ratio assumption, as done typically for simple backscattering instruments, allows probing the vertical structure of aerosol layers without divergence, even in case of intense episodes. Relative error in the backscatter coefficient profiles are observed to lay between +40% and -40% for low abudancies, with mean biases between +5% and -5%. A 5-day study in the case of desert dust completes the study of the added value of the HSRL channel with relative mean bias from the NR of the order of 1.5%.

Keywords

Atmospheric-Observing-System; Aerosol; High-Spectral-Resolution-lidar

Subject

Environmental and Earth Sciences, Atmospheric Science and Meteorology

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