Quantifying riming from airborne data during the HALO-(AC) 3 campaign

Riming is a key precipitation formation process in mixed-phase clouds which efficiently converts cloud liquid to ice water. Here, we present two methods to quantify riming of ice particles from airborne observations with the normalized rime mass, which is the ratio of rime mass to the mass of a size...

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Published in:Atmospheric Measurement Techniques
Main Authors: Maherndl, Nina (author), Moser, Manuel (author), Lucke, J.R. (author), Mech, Mario (author), Risse, Nils (author), Schirmacher, Imke (author), Maahn, Maximilian (author)
Format: Article in Journal/Newspaper
Language:English
Published: 2024
Subjects:
Online Access:http://resolver.tudelft.nl/uuid:7e632475-60c7-4570-aae1-e258a9cdf3a9
https://doi.org/10.5194/amt-17-1475-2024
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spelling fttudelft:oai:tudelft.nl:uuid:7e632475-60c7-4570-aae1-e258a9cdf3a9 2024-04-28T08:19:19+00:00 Quantifying riming from airborne data during the HALO-(AC) 3 campaign Maherndl, Nina (author) Moser, Manuel (author) Lucke, J.R. (author) Mech, Mario (author) Risse, Nils (author) Schirmacher, Imke (author) Maahn, Maximilian (author) 2024 http://resolver.tudelft.nl/uuid:7e632475-60c7-4570-aae1-e258a9cdf3a9 https://doi.org/10.5194/amt-17-1475-2024 en eng http://www.scopus.com/inward/record.url?scp=85187684622&partnerID=8YFLogxK Atmospheric Measurement Techniques--1867-1381--0cbfe98e-e48d-43bc-bf65-73c7bee84678 http://resolver.tudelft.nl/uuid:7e632475-60c7-4570-aae1-e258a9cdf3a9 https://doi.org/10.5194/amt-17-1475-2024 © 2024 Nina Maherndl, Manuel Moser, J.R. Lucke, Mario Mech, Nils Risse, Imke Schirmacher, Maximilian Maahn journal article 2024 fttudelft https://doi.org/10.5194/amt-17-1475-2024 2024-04-03T14:02:06Z Riming is a key precipitation formation process in mixed-phase clouds which efficiently converts cloud liquid to ice water. Here, we present two methods to quantify riming of ice particles from airborne observations with the normalized rime mass, which is the ratio of rime mass to the mass of a size-equivalent spherical graupel particle. We use data obtained during the HALO-(AC)3 aircraft campaign, where two aircraft collected radar and in situ measurements that were closely spatially and temporally collocated over the Fram Strait west of Svalbard in spring 2022. The first method is based on an inverse optimal estimation algorithm for the retrieval of the normalized rime mass from a closure between cloud radar and in situ measurements during these collocated flight segments (combined method). The second method relies on in situ observations only, relating the normalized rime mass to optical particle shape measurements (in situ method). We find good agreement between both methods during collocated flight segments with median normalized rime masses of 0.024 and 0.021 (mean values of 0.035 and 0.033) for the combined and in situ method, respectively. Assuming that particles with a normalized rime mass smaller than 0.01 are unrimed, we obtain average rimed fractions of 88ĝ€¯% and 87ĝ€¯% over all collocated flight segments. Although in situ measurement volumes are in the range of a few cubic centimeters and are therefore much smaller than the radar volume (about 45ĝ€¯m footprint diameter at an altitude of 500ĝ€¯m above ground, with a vertical resolution of 5ĝ€¯m), we assume they are representative of the radar volume. When this assumption is not met due to less homogeneous conditions, discrepancies between the two methods result. We show the performance of the methods in a case study of a collocated segment of cold-air outbreak conditions and compare normalized rime mass results with meteorological and cloud parameters. We find that higher normalized rime masses correlate with streaks of higher radar reflectivity. ... Article in Journal/Newspaper Fram Strait Svalbard Delft University of Technology: Institutional Repository Atmospheric Measurement Techniques 17 5 1475 1495
institution Open Polar
collection Delft University of Technology: Institutional Repository
op_collection_id fttudelft
language English
description Riming is a key precipitation formation process in mixed-phase clouds which efficiently converts cloud liquid to ice water. Here, we present two methods to quantify riming of ice particles from airborne observations with the normalized rime mass, which is the ratio of rime mass to the mass of a size-equivalent spherical graupel particle. We use data obtained during the HALO-(AC)3 aircraft campaign, where two aircraft collected radar and in situ measurements that were closely spatially and temporally collocated over the Fram Strait west of Svalbard in spring 2022. The first method is based on an inverse optimal estimation algorithm for the retrieval of the normalized rime mass from a closure between cloud radar and in situ measurements during these collocated flight segments (combined method). The second method relies on in situ observations only, relating the normalized rime mass to optical particle shape measurements (in situ method). We find good agreement between both methods during collocated flight segments with median normalized rime masses of 0.024 and 0.021 (mean values of 0.035 and 0.033) for the combined and in situ method, respectively. Assuming that particles with a normalized rime mass smaller than 0.01 are unrimed, we obtain average rimed fractions of 88ĝ€¯% and 87ĝ€¯% over all collocated flight segments. Although in situ measurement volumes are in the range of a few cubic centimeters and are therefore much smaller than the radar volume (about 45ĝ€¯m footprint diameter at an altitude of 500ĝ€¯m above ground, with a vertical resolution of 5ĝ€¯m), we assume they are representative of the radar volume. When this assumption is not met due to less homogeneous conditions, discrepancies between the two methods result. We show the performance of the methods in a case study of a collocated segment of cold-air outbreak conditions and compare normalized rime mass results with meteorological and cloud parameters. We find that higher normalized rime masses correlate with streaks of higher radar reflectivity. ...
format Article in Journal/Newspaper
author Maherndl, Nina (author)
Moser, Manuel (author)
Lucke, J.R. (author)
Mech, Mario (author)
Risse, Nils (author)
Schirmacher, Imke (author)
Maahn, Maximilian (author)
spellingShingle Maherndl, Nina (author)
Moser, Manuel (author)
Lucke, J.R. (author)
Mech, Mario (author)
Risse, Nils (author)
Schirmacher, Imke (author)
Maahn, Maximilian (author)
Quantifying riming from airborne data during the HALO-(AC) 3 campaign
author_facet Maherndl, Nina (author)
Moser, Manuel (author)
Lucke, J.R. (author)
Mech, Mario (author)
Risse, Nils (author)
Schirmacher, Imke (author)
Maahn, Maximilian (author)
author_sort Maherndl, Nina (author)
title Quantifying riming from airborne data during the HALO-(AC) 3 campaign
title_short Quantifying riming from airborne data during the HALO-(AC) 3 campaign
title_full Quantifying riming from airborne data during the HALO-(AC) 3 campaign
title_fullStr Quantifying riming from airborne data during the HALO-(AC) 3 campaign
title_full_unstemmed Quantifying riming from airborne data during the HALO-(AC) 3 campaign
title_sort quantifying riming from airborne data during the halo-(ac) 3 campaign
publishDate 2024
url http://resolver.tudelft.nl/uuid:7e632475-60c7-4570-aae1-e258a9cdf3a9
https://doi.org/10.5194/amt-17-1475-2024
genre Fram Strait
Svalbard
genre_facet Fram Strait
Svalbard
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op_rights © 2024 Nina Maherndl, Manuel Moser, J.R. Lucke, Mario Mech, Nils Risse, Imke Schirmacher, Maximilian Maahn
op_doi https://doi.org/10.5194/amt-17-1475-2024
container_title Atmospheric Measurement Techniques
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