Algorithms to retrieve aerosol optical properties using lidar  measurements on board the EarthCARE satellite

Nishizawa, Tomoaki; Kudo, Rei; Oikawa, Eiji; Higurashi, Akiko; Jin, Yoshitaka; Sugimoto, Nobuo; Sato, Kaori; Okamoto, Hajime

doi:10.5194/amt-19-729-2026

Articles | Volume 19, issue 2

https://doi.org/10.5194/amt-19-729-2026

© Author(s) 2026. This work is distributed under
the Creative Commons Attribution 4.0 License.

Special issue:

EarthCARE Level 2 algorithms and data products

https://doi.org/10.5194/amt-19-729-2026

© Author(s) 2026. This work is distributed under
the Creative Commons Attribution 4.0 License.

Articles | Volume 19, issue 2

Research article

|

29 Jan 2026

Research article |

| 29 Jan 2026

Algorithms to retrieve aerosol optical properties using lidar measurements on board the EarthCARE satellite

Tomoaki Nishizawa, Rei Kudo, Eiji Oikawa, Akiko Higurashi, Yoshitaka Jin, Nobuo Sugimoto, Kaori Sato, and Hajime Okamoto

Data sets

The JAXA EarthCARE synthetic data using a global storm resolving simulation Woosub Roh et al. https://doi.org/10.5281/zenodo.7835229

Short summary

We developed algorithms to produce JAXA ATLID L2 aerosol products using ATLID L1 data. The algorithms estimate layer identifiers such as (1) aerosol or cloud layers, (2) particle optical properties at 355 nm, (3) particle type identifiers, and (4) planetary boundary layer height. We demonstrated the algorithm performance using the simulated ATLID L1 data and found the algorithm’s capability to provide valuable insights into the global distribution of aerosols and clouds.