Preprints
https://doi.org/10.5194/amt-2024-99
https://doi.org/10.5194/amt-2024-99
11 Jun 2024
 | 11 Jun 2024
Status: this preprint is currently under review for the journal AMT.

JAXA Level 2 cloud and precipitation microphysics retrievals based on EarthCARE CPR, ATLID and MSI

Kaori Sato, Hajime Okamoto, Tomoaki Nishizawa, Yoshitaka Jin, Takashi Nakajima, Minrui Wang, Masaki Satoh, Woosub Roh, Hiroshi Ishimoto, and Rei Kudo

Abstract. This study introduces the primary products and features of active sensor-based Level 2 cloud products of the Japanese Aerospace Exploration Agency (JAXA). Combined with 94 GHz Doppler cloud radar and 355-nm high-spectral-resolution lidar, these products provide a detailed view of the transitions of cloud particle categories and their size distributions, as well as vertical velocity information. Simulated EarthCARE Level 1 data mimicking actual global observations were used to assess the performance of the JAXA Level 2 cloud product. Evaluation of the product revealed that the retrievals reasonably reproduced the vertical profile of the modelled microphysics. Further validation of the products is planned for after-launch calibration/validation. JAXA Level 2 velocity-related products will be described in a future paper.

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Kaori Sato, Hajime Okamoto, Tomoaki Nishizawa, Yoshitaka Jin, Takashi Nakajima, Minrui Wang, Masaki Satoh, Woosub Roh, Hiroshi Ishimoto, and Rei Kudo

Status: open (until 17 Jul 2024)

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Kaori Sato, Hajime Okamoto, Tomoaki Nishizawa, Yoshitaka Jin, Takashi Nakajima, Minrui Wang, Masaki Satoh, Woosub Roh, Hiroshi Ishimoto, and Rei Kudo
Kaori Sato, Hajime Okamoto, Tomoaki Nishizawa, Yoshitaka Jin, Takashi Nakajima, Minrui Wang, Masaki Satoh, Woosub Roh, Hiroshi Ishimoto, and Rei Kudo

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Short summary
This study introduces the JAXA EarthCARE L2 cloud product using satellite observations and simulated EarthCARE data. The outputs from the product feature a 3D global view of the dominant ice habit categories and corresponding microphysics. Habit and size distribution transitions from cloud to precipitation will be quantified by the L2 cloud algorithms. With Doppler data, the products can be beneficial for further understanding of the coupling of cloud microphysics, radiation, and dynamics.