Atmospheric Measurement Techniques
Atmospheric Measurement Techniques
AMT
Articles | Volume 17, issue 15
Articles | Volume 17, issue 15
https://doi.org/10.5194/amt-17-4675-2024
© Author(s) 2024. This work is distributed under
the Creative Commons Attribution 4.0 License.
https://doi.org/10.5194/amt-17-4675-2024
© Author(s) 2024. This work is distributed under
the Creative Commons Attribution 4.0 License.
Articles | Volume 17, issue 15
Research article
 | 
13 Aug 2024
Research article |  | 13 Aug 2024

Improving the Gaussianity of radar reflectivity departures between observations and simulations using symmetric rain rates

Yudong Gao, Lidou Huyan, Zheng Wu, and Bojun Liu

Data sets

Data used in the publication: Improving the Gaussianity of Radar Reflectivity Departures between Observations and Simulations by Using the Symmetric Rain Rate [Dataset] Yudong Gao https://doi.org/10.6084/m9.figshare.25093508.v2

Model code and software

The NCAR Command Language NCAR https://doi.org/10.5065/D6WD3XH5

Download
Short summary
A symmetric error model built by symmetric rain rates handles the non-Gaussian error structure of the reflectivity error. The accuracy and linearization of rain rates can further improve the Gaussianity.
Read more