Linking rain into ice microphysics across the melting layer in stratiform rain: a closure study

<p>This study investigates the link between rain and ice microphysics across the melting layer in stratiform rain systems using measurements from vertically pointing multi-frequency Doppler radars. A novel methodology to examine the variability of the precipitation rate and the mass-weighted m...

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Main Authors: K. Mróz, A. Battaglia, S. Kneifel, L. von Terzi, M. Karrer, D. Ori
Format: Article
Language:English
Published: Copernicus Publications 2021-01-01
Series:Atmospheric Measurement Techniques
Online Access:https://amt.copernicus.org/articles/14/511/2021/amt-14-511-2021.pdf
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spelling doaj-de09e7dc52b44f4091099572bf865a332021-01-25T11:15:28ZengCopernicus PublicationsAtmospheric Measurement Techniques1867-13811867-85482021-01-011451152910.5194/amt-14-511-2021Linking rain into ice microphysics across the melting layer in stratiform rain: a closure studyK. Mróz0A. Battaglia1A. Battaglia2S. Kneifel3L. von Terzi4M. Karrer5D. Ori6National Centre for Earth Observation, University of Leicester, Leicester, UKEarth Observation Science, Department of Physics and Astronomy, University of Leicester, Leicester, UKDepartment of Environmental, Land and Infrastructure Engineering (DIATI), Politecnico of Turin, Turin, ItalyInstitute for Geophysics and Meteorology, University of Cologne, Cologne, GermanyInstitute for Geophysics and Meteorology, University of Cologne, Cologne, GermanyInstitute for Geophysics and Meteorology, University of Cologne, Cologne, GermanyInstitute for Geophysics and Meteorology, University of Cologne, Cologne, Germany<p>This study investigates the link between rain and ice microphysics across the melting layer in stratiform rain systems using measurements from vertically pointing multi-frequency Doppler radars. A novel methodology to examine the variability of the precipitation rate and the mass-weighted melted diameter (<span class="inline-formula"><i>D</i><sub>m</sub></span>) across the melting region is proposed and applied to a 6 h long case study, observed during the TRIPEx-pol field campaign at the Jülich Observatory for Cloud Evolution Core Facility and covering a gamut of ice microphysical processes. The methodology is based on an optimal estimation (OE) retrieval of particle size distributions (PSDs) and dynamics (turbulence and vertical motions) from observed multi-frequency radar Doppler spectra applied both above and below the melting layer. First, the retrieval is applied in the rain region; based on a one-to-one conversion of raindrops into snowflakes, the retrieved drop size distributions (DSDs) are propagated upward to provide the mass-flux-preserving PSDs of snow. These ice PSDs are used to simulate radar reflectivities above the melting layer for different snow models and they are evaluated for a consistency with the actual radar measurements. Second, the OE snow retrieval where Doppler spectra are simulated based on different snow models, which consistently compute fall speeds and electromagnetic properties, is performed. The results corresponding to the best-matching models are then used to estimate snow fluxes and <span class="inline-formula"><i>D</i><sub>m</sub></span>, which are directly compared to the corresponding rain quantities. For the case study, the total accumulation of rain (2.30 <span class="inline-formula">mm</span>) and the melted equivalent accumulation of snow (1.93 <span class="inline-formula">mm</span>) show a 19 % difference. The analysis suggests that the mass flux through the melting zone is well preserved except the periods of intense riming where the precipitation rates were higher in rain than in the ice above. This is potentially due to additional condensation within the melting zone in correspondence to high relative humidity and collision and coalescence with the cloud droplets whose occurrence is ubiquitous with riming. It is shown that the mean mass-weighted diameter of ice is strongly related to the characteristic size of the underlying rain except the period of extreme aggregation where breakup of melting snowflakes significantly reduces <span class="inline-formula"><i>D</i><sub>m</sub></span>. The proposed methodology can be applied to long-term observations to advance our knowledge of the processes occurring across the melting region; this can then be used to improve assumptions underpinning spaceborne radar precipitation retrievals.</p>https://amt.copernicus.org/articles/14/511/2021/amt-14-511-2021.pdf
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language English
format Article
sources DOAJ
author K. Mróz
A. Battaglia
A. Battaglia
S. Kneifel
L. von Terzi
M. Karrer
D. Ori
spellingShingle K. Mróz
A. Battaglia
A. Battaglia
S. Kneifel
L. von Terzi
M. Karrer
D. Ori
Linking rain into ice microphysics across the melting layer in stratiform rain: a closure study
Atmospheric Measurement Techniques
author_facet K. Mróz
A. Battaglia
A. Battaglia
S. Kneifel
L. von Terzi
M. Karrer
D. Ori
author_sort K. Mróz
title Linking rain into ice microphysics across the melting layer in stratiform rain: a closure study
title_short Linking rain into ice microphysics across the melting layer in stratiform rain: a closure study
title_full Linking rain into ice microphysics across the melting layer in stratiform rain: a closure study
title_fullStr Linking rain into ice microphysics across the melting layer in stratiform rain: a closure study
title_full_unstemmed Linking rain into ice microphysics across the melting layer in stratiform rain: a closure study
title_sort linking rain into ice microphysics across the melting layer in stratiform rain: a closure study
publisher Copernicus Publications
series Atmospheric Measurement Techniques
issn 1867-1381
1867-8548
publishDate 2021-01-01
description <p>This study investigates the link between rain and ice microphysics across the melting layer in stratiform rain systems using measurements from vertically pointing multi-frequency Doppler radars. A novel methodology to examine the variability of the precipitation rate and the mass-weighted melted diameter (<span class="inline-formula"><i>D</i><sub>m</sub></span>) across the melting region is proposed and applied to a 6 h long case study, observed during the TRIPEx-pol field campaign at the Jülich Observatory for Cloud Evolution Core Facility and covering a gamut of ice microphysical processes. The methodology is based on an optimal estimation (OE) retrieval of particle size distributions (PSDs) and dynamics (turbulence and vertical motions) from observed multi-frequency radar Doppler spectra applied both above and below the melting layer. First, the retrieval is applied in the rain region; based on a one-to-one conversion of raindrops into snowflakes, the retrieved drop size distributions (DSDs) are propagated upward to provide the mass-flux-preserving PSDs of snow. These ice PSDs are used to simulate radar reflectivities above the melting layer for different snow models and they are evaluated for a consistency with the actual radar measurements. Second, the OE snow retrieval where Doppler spectra are simulated based on different snow models, which consistently compute fall speeds and electromagnetic properties, is performed. The results corresponding to the best-matching models are then used to estimate snow fluxes and <span class="inline-formula"><i>D</i><sub>m</sub></span>, which are directly compared to the corresponding rain quantities. For the case study, the total accumulation of rain (2.30 <span class="inline-formula">mm</span>) and the melted equivalent accumulation of snow (1.93 <span class="inline-formula">mm</span>) show a 19 % difference. The analysis suggests that the mass flux through the melting zone is well preserved except the periods of intense riming where the precipitation rates were higher in rain than in the ice above. This is potentially due to additional condensation within the melting zone in correspondence to high relative humidity and collision and coalescence with the cloud droplets whose occurrence is ubiquitous with riming. It is shown that the mean mass-weighted diameter of ice is strongly related to the characteristic size of the underlying rain except the period of extreme aggregation where breakup of melting snowflakes significantly reduces <span class="inline-formula"><i>D</i><sub>m</sub></span>. The proposed methodology can be applied to long-term observations to advance our knowledge of the processes occurring across the melting region; this can then be used to improve assumptions underpinning spaceborne radar precipitation retrievals.</p>
url https://amt.copernicus.org/articles/14/511/2021/amt-14-511-2021.pdf
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