What question did this study set out to answer?

This research aims to advance aerosol and cloud retrieval methods for ALADIN data using techniques from EarthCARE lidar ATLID.

April 16, 20260 citationsOpen Access

ALADIN Aerosol and Cloud retrievals using ATLID-like approaches (an update)

DDD.P. DonovanRoyal Netherlands Meteorological Institute PWP. WangRoyal Netherlands Meteorological Institute GZG.-J. Van ZadelhoffRoyal Netherlands Meteorological Institute

Key Points

This research aims to advance aerosol and cloud retrieval methods for ALADIN data using techniques from EarthCARE lidar ATLID.
Applied AEL-FM and AEL-PRO algorithms to ALADIN data.
Developed feature-mask based on crosstalk corrected backscatter profiles.
Integrated algorithms into the AEOLUS Level 2A operational processor.
Demonstrated effective retrieval of aerosol and cloud properties.
Presented recent performance results using the new algorithms.
Highlighted enhancements in data accuracy and reliability.

Abstract

This paper presents recent developments associated with the application of cloud and aerosol retrieval approaches, originally developed for the EarthCARE lidar ATLID, to ALADIN data. These two algorithms are AEL-FM and AEL-PRO. AEL-FM provides a “feature-mask” based on ALADIN crosstalk corrected pure particulate (“Mie”) and molecular (“Rayleigh”) attenuated backscatter profiles. These two algorithms have been added to the AEOLUS Level 2A operational processor. In this paper. AEL-FM and AEL-PRO are briefly described, and some representative recent results are presented and discussed.

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