Global evaluation of Doppler velocity errors of EarthCARE cloud-profiling radar using a global storm-resolving simulation

Hagihara, Yuichiro; Ohno, Yuichi; Horie, Hiroaki; Roh, Woosub; Satoh, Masaki; Kubota, Takuji

doi:https://doi.org/10.5194/amt-16-3211-2023

Articles | Volume 16, issue 12

https://doi.org/10.5194/amt-16-3211-2023

© Author(s) 2023. 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-16-3211-2023

© Author(s) 2023. This work is distributed under
the Creative Commons Attribution 4.0 License.

Articles | Volume 16, issue 12

Research article

|

28 Jun 2023

Research article |

| 28 Jun 2023

Global evaluation of Doppler velocity errors of EarthCARE cloud-profiling radar using a global storm-resolving simulation

Yuichiro Hagihara, Yuichi Ohno, Hiroaki Horie, Woosub Roh, Masaki Satoh, and Takuji Kubota

Data sets

The JAXA EarthCARE synthetic data using a global storm resolving simulation W. Roh, M. Satoh, T. Hashino, S. Matsugishi, T. Nasuno, and T.Kubota https://doi.org/10.5281/zenodo.7835229

2B-GEOPROF CloudSat Data Processing Center https://www.cloudsat.cira.colostate.edu/data-products/2b-geoprof

Short summary

The CPR on the EarthCARE satellite is the first satellite-borne Doppler radar. We evaluated the effectiveness of horizontal integration and the unfolding method for the reduction of the Doppler error (the standard deviation of the random error) in the CPR_ECO product. The error was higher in the tropics than in the other latitudes due to frequent rain echo occurrence and limitation of its unfolding correction. If we use low-mode operation (high PRF), the errors become small enough.