Fingerprints of a riming event on cloud radar Doppler spectra: observations and modeling

Kalesse, Heike; Szyrmer, Wanda; Kneifel, Stefan; Kollias, Pavlos; Luke, Edward

doi:10.5194/acp-16-2997-2016

Title: Fingerprints of a riming event on cloud radar Doppler spectra: observations and modeling

Journal Article · Wed Mar 09 00:00:00 EST 2016 · Atmospheric Chemistry and Physics (Online)

DOI:https://doi.org/10.5194/acp-16-2997-2016· OSTI ID:1336080

Kalesse, Heike ^[1]; Szyrmer, Wanda ^[1]; Kneifel, Stefan ^[1]; Kollias, Pavlos ^[1]; Luke, Edward ^[2]

McGill Univ., Montreal, QC (Canada)
Brookhaven National Lab. (BNL), Upton, NY (United States)

In this paper, Radar Doppler spectra measurements are exploited to study a riming event when precipitating ice from a seeder cloud sediment through a supercooled liquid water (SLW) layer. The focus is on the "golden sample" case study for this type of analysis based on observations collected during the deployment of the Atmospheric Radiation Measurement Program's (ARM) mobile facility AMF2 at Hyytiälä, Finland, during the Biogenic Aerosols – Effects on Clouds and Climate (BAECC) field campaign. The presented analysis of the height evolution of the radar Doppler spectra is a state-of-the-art retrieval with profiling cloud radars in SLW layers beyond the traditional use of spectral moments. Dynamical effects are considered by following the particle population evolution along slanted tracks that are caused by horizontal advection of the cloud under wind shear conditions. In the SLW layer, the identified liquid peak is used as an air motion tracer to correct the Doppler spectra for vertical air motion and the ice peak is used to study the radar profiles of rimed particles. A 1-D steady-state bin microphysical model is constrained using the SLW and air motion profiles and cloud top radar observations. The observed radar moment profiles of the rimed snow can be simulated reasonably well by the model, but not without making several assumptions about the ice particle concentration and the relative role of deposition and aggregation. In conclusion, this suggests that in situ observations of key ice properties are needed to complement the profiling radar observations before process-oriented studies can effectively evaluate ice microphysical parameterizations.

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Research Organization:: Brookhaven National Laboratory (BNL), Upton, NY (United States)

Sponsoring Organization:: USDOE Office of Science (SC), Basic Energy Sciences (BES)

Grant/Contract Number:: SC00112704

OSTI ID:: 1336080

Report Number(s):: BNL-112468-2016-JA; R&D Project: 2016-BNL-EE630EECA-Budg; KP1701000

Journal Information:: Atmospheric Chemistry and Physics (Online), Vol. 16, Issue 5; ISSN 1680-7324

Publisher:: European Geosciences UnionCopyright Statement

Country of Publication:: United States

Language:: English

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Cited by: 51 works

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