Towards the connection between snow microphysics  and melting layer: insights from multifrequency and dual-polarization radar observations during BAECC

Li, Haoran; Tiira, Jussi; von Lerber, Annakaisa; Moisseev, Dmitri

doi:https://doi.org/10.5194/acp-20-9547-2020

Articles | Volume 20, issue 15

https://doi.org/10.5194/acp-20-9547-2020

© Author(s) 2020. This work is distributed under
the Creative Commons Attribution 4.0 License.

https://doi.org/10.5194/acp-20-9547-2020

© Author(s) 2020. This work is distributed under
the Creative Commons Attribution 4.0 License.

Articles | Volume 20, issue 15

Research article

|

14 Aug 2020

Research article |

| 14 Aug 2020

Towards the connection between snow microphysics and melting layer: insights from multifrequency and dual-polarization radar observations during BAECC

Haoran Li, Jussi Tiira, Annakaisa von Lerber, and Dmitri Moisseev

Data sets

Quicklooks of X-SACR data during BAECC – stratiform rainfall H. Li https://doi.org/10.5281/zenodo.3979103

Finnish Meteorological Institute Dual-Pol C-band Weather Radar, Ikaalinen A. von Lerber https://iop.archive.arm.gov/arm-iop/2014/tmp/baecc/moisseev-radar_cband/?uid=LIH2&st=5f32748d&home=arm-archive

Snow microphysical properties retrieved from PIP observations collected in Hyytiälä on 2014–2015 D. Moisseev https://doi.org/10.5281/zenodo.3977959

Marine W-Band (95 GHz) ARM Cloud Radar (MWACR). 2014-01-15 to 2014-09-13, ARM Mobile Facility (TMP) U. of Helsinki Research Station (SMEAR II), Hyytiala, Finland; AMF2 (M1) ARM Climate Research Facility https://doi.org/10.5439/1150242

Ka-Band Scanning ARM Cloud Radar (KASACRVPT). 2014-01-15 to 2014-09-13, ARM Mobile Facility (TMP) U. of Helsinki Research Station (SMEAR II), Hyytiala, Finland; AMF2 (M1) ARM Climate Research Facility https://doi.org/10.5439/1046201

X-Band Scanning ARM Cloud Radar (XSACRVPT). 2014-01-15 to 2014-09-13, ARM Mobile Facility (TMP) U. of Helsinki Research Station (SMEAR II), Hyytiala, Finland; AMF2 (M1) ARM Climate Research Facility https://doi.org/10.5439/1150303

Short summary

A method for classifying rimed and unrimed snow based on X- and Ka-band Doppler radar measurements is developed and applied to synergetic radar observations collected during BAECC 2014. The results show that the radar-observed melting layer properties are highly related to the precipitation intensity. The previously reported bright band sagging is mainly connected to the increase in precipitation intensity, while riming plays a secondary role.