Fingerprints of a riming event on cloud radar Doppler spectra: observations and modeling
Abstract
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 canmore »
- Authors:
-
- McGill Univ., Montreal, QC (Canada)
- Brookhaven National Lab. (BNL), Upton, NY (United States)
- Publication Date:
- Research Org.:
- Brookhaven National Laboratory (BNL), Upton, NY (United States)
- Sponsoring Org.:
- USDOE Office of Science (SC), Basic Energy Sciences (BES)
- OSTI Identifier:
- 1336080
- Report Number(s):
- BNL-112468-2016-JA
Journal ID: ISSN 1680-7324; R&D Project: 2016-BNL-EE630EECA-Budg; KP1701000
- Grant/Contract Number:
- SC00112704
- Resource Type:
- Journal Article: Accepted Manuscript
- Journal Name:
- Atmospheric Chemistry and Physics (Online)
- Additional Journal Information:
- Journal Volume: 16; Journal Issue: 5; Journal ID: ISSN 1680-7324
- Publisher:
- European Geosciences Union
- Country of Publication:
- United States
- Language:
- English
- Subject:
- 54 ENVIRONMENTAL SCIENCES
Citation Formats
Kalesse, Heike, Szyrmer, Wanda, Kneifel, Stefan, Kollias, Pavlos, and Luke, Edward. Fingerprints of a riming event on cloud radar Doppler spectra: observations and modeling. United States: N. p., 2016.
Web. doi:10.5194/acp-16-2997-2016.
Kalesse, Heike, Szyrmer, Wanda, Kneifel, Stefan, Kollias, Pavlos, & Luke, Edward. Fingerprints of a riming event on cloud radar Doppler spectra: observations and modeling. United States. https://doi.org/10.5194/acp-16-2997-2016
Kalesse, Heike, Szyrmer, Wanda, Kneifel, Stefan, Kollias, Pavlos, and Luke, Edward. 2016.
"Fingerprints of a riming event on cloud radar Doppler spectra: observations and modeling". United States. https://doi.org/10.5194/acp-16-2997-2016. https://www.osti.gov/servlets/purl/1336080.
@article{osti_1336080,
title = {Fingerprints of a riming event on cloud radar Doppler spectra: observations and modeling},
author = {Kalesse, Heike and Szyrmer, Wanda and Kneifel, Stefan and Kollias, Pavlos and Luke, Edward},
abstractNote = {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.},
doi = {10.5194/acp-16-2997-2016},
url = {https://www.osti.gov/biblio/1336080},
journal = {Atmospheric Chemistry and Physics (Online)},
issn = {1680-7324},
number = 5,
volume = 16,
place = {United States},
year = {Wed Mar 09 00:00:00 EST 2016},
month = {Wed Mar 09 00:00:00 EST 2016}
}
Web of Science
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