Enhancing consistency of microphysical properties of precipitation across the melting layer in dual-frequency precipitation radar data

Mroz, Kamil; Battaglia, Alessandro; Fridlind, Ann M.

doi:https://doi.org/10.5194/amt-17-1577-2024

Articles | Volume 17, issue 5

https://doi.org/10.5194/amt-17-1577-2024

© Author(s) 2024. This work is distributed under
the Creative Commons Attribution 4.0 License.

https://doi.org/10.5194/amt-17-1577-2024

© Author(s) 2024. This work is distributed under
the Creative Commons Attribution 4.0 License.

Articles | Volume 17, issue 5

Research article

|

15 Mar 2024

Research article |

| 15 Mar 2024

Enhancing consistency of microphysical properties of precipitation across the melting layer in dual-frequency precipitation radar data

Kamil Mroz, Alessandro Battaglia, and Ann M. Fridlind

Data sets

GPM DPR precipitation profile L2A 1.5 hours 5 km V06 Toshio Iguchi and Robert Meneghini https://doi.org/10.5067/GPM/DPR/GPM/2A/06

Microwave Single Scattering Properties Database (Horizontally Aligned Aggregates of Dendrites) Kamil Mroz and Jussi Leinonen https://doi.org/10.5281/zenodo.7510186

GPM Ground Validation Validation Network (VN) [collocations in 2015 and 2016] Walter A. Petersen https://doi.org/10.5067/GPMGV/WFF/MULTIPLE/DATA101

Model code and software

GPyM Kamil Mroz https://github.com/mrozkamil/gpym

Short summary

In this study, we examine the extent to which radar measurements from space can inform us about the properties of clouds and precipitation. Surprisingly, our analysis showed that the amount of ice turning into rain was lower than expected in the current product. To improve on this, we came up with a new way to extract information about the size and concentration of particles from radar data. As long as we use this method in the right conditions, we can even estimate how dense the ice is.