Modelling the relationship between liquid water content and cloud droplet number concentration observed in low clouds in the summer Arctic and its radiative effects

Low clouds persist in the summer Arctic with important consequences for the radiation budget. In this study, we simulate the linear relationship between liquid water content (LWC) and cloud droplet number concentration (CDNC) observed during an aircraft campaign based out of Resolute Bay, Canada, co...

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Published in:Atmospheric Chemistry and Physics
Main Authors: J. Dionne, K. von Salzen, J. Cole, R. Mahmood, W. R. Leaitch, G. Lesins, I. Folkins, R. Y.-W. Chang
Format: Article in Journal/Newspaper
Language:English
Published: Copernicus Publications 2020
Subjects:
Online Access:https://doi.org/10.5194/acp-20-29-2020
https://doaj.org/article/dcc1415a10774ddd946268809fd5c116
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spelling ftdoajarticles:oai:doaj.org/article:dcc1415a10774ddd946268809fd5c116 2023-05-15T15:00:27+02:00 Modelling the relationship between liquid water content and cloud droplet number concentration observed in low clouds in the summer Arctic and its radiative effects J. Dionne K. von Salzen J. Cole R. Mahmood W. R. Leaitch G. Lesins I. Folkins R. Y.-W. Chang 2020-01-01T00:00:00Z https://doi.org/10.5194/acp-20-29-2020 https://doaj.org/article/dcc1415a10774ddd946268809fd5c116 EN eng Copernicus Publications https://www.atmos-chem-phys.net/20/29/2020/acp-20-29-2020.pdf https://doaj.org/toc/1680-7316 https://doaj.org/toc/1680-7324 doi:10.5194/acp-20-29-2020 1680-7316 1680-7324 https://doaj.org/article/dcc1415a10774ddd946268809fd5c116 Atmospheric Chemistry and Physics, Vol 20, Pp 29-43 (2020) Physics QC1-999 Chemistry QD1-999 article 2020 ftdoajarticles https://doi.org/10.5194/acp-20-29-2020 2022-12-31T01:31:41Z Low clouds persist in the summer Arctic with important consequences for the radiation budget. In this study, we simulate the linear relationship between liquid water content (LWC) and cloud droplet number concentration (CDNC) observed during an aircraft campaign based out of Resolute Bay, Canada, conducted as part of the Network on Climate and Aerosols: Addressing Key Uncertainties in Remote Canadian Environments study in July 2014. Using a single-column model, we find that autoconversion can explain the observed linear relationship between LWC and CDNC. Of the three autoconversion schemes we examined, the scheme using continuous drizzle (Khairoutdinov and Kogan, 2000) appears to best reproduce the observed linearity in the tenuous cloud regime (Mauritsen et al., 2011), while a scheme with a threshold for rain (Liu and Daum, 2004) best reproduces the linearity at higher CDNC. An offline version of the radiative transfer model used in the Canadian Atmospheric Model version 4.3 is used to compare the radiative effects of the modelled and observed clouds. We find that there is no significant difference in the upward longwave cloud radiative effect at the top of the atmosphere from the three autoconversion schemes ( p =0.05 ) but that all three schemes differ at p =0.05 from the calculations based on observations. In contrast, the downward longwave and shortwave cloud radiative effect at the surface for the Wood (2005b) and Khairoutdinov and Kogan (2000) schemes do not differ significantly ( p =0.05 ) from the observation-based radiative calculations, while the Liu and Daum (2004) scheme differs significantly from the observation-based calculation for the downward shortwave but not the downward longwave fluxes. Article in Journal/Newspaper Arctic Resolute Bay Directory of Open Access Journals: DOAJ Articles Arctic Canada Resolute Bay ENVELOPE(-94.842,-94.842,74.677,74.677) Atmospheric Chemistry and Physics 20 1 29 43
institution Open Polar
collection Directory of Open Access Journals: DOAJ Articles
op_collection_id ftdoajarticles
language English
topic Physics
QC1-999
Chemistry
QD1-999
spellingShingle Physics
QC1-999
Chemistry
QD1-999
J. Dionne
K. von Salzen
J. Cole
R. Mahmood
W. R. Leaitch
G. Lesins
I. Folkins
R. Y.-W. Chang
Modelling the relationship between liquid water content and cloud droplet number concentration observed in low clouds in the summer Arctic and its radiative effects
topic_facet Physics
QC1-999
Chemistry
QD1-999
description Low clouds persist in the summer Arctic with important consequences for the radiation budget. In this study, we simulate the linear relationship between liquid water content (LWC) and cloud droplet number concentration (CDNC) observed during an aircraft campaign based out of Resolute Bay, Canada, conducted as part of the Network on Climate and Aerosols: Addressing Key Uncertainties in Remote Canadian Environments study in July 2014. Using a single-column model, we find that autoconversion can explain the observed linear relationship between LWC and CDNC. Of the three autoconversion schemes we examined, the scheme using continuous drizzle (Khairoutdinov and Kogan, 2000) appears to best reproduce the observed linearity in the tenuous cloud regime (Mauritsen et al., 2011), while a scheme with a threshold for rain (Liu and Daum, 2004) best reproduces the linearity at higher CDNC. An offline version of the radiative transfer model used in the Canadian Atmospheric Model version 4.3 is used to compare the radiative effects of the modelled and observed clouds. We find that there is no significant difference in the upward longwave cloud radiative effect at the top of the atmosphere from the three autoconversion schemes ( p =0.05 ) but that all three schemes differ at p =0.05 from the calculations based on observations. In contrast, the downward longwave and shortwave cloud radiative effect at the surface for the Wood (2005b) and Khairoutdinov and Kogan (2000) schemes do not differ significantly ( p =0.05 ) from the observation-based radiative calculations, while the Liu and Daum (2004) scheme differs significantly from the observation-based calculation for the downward shortwave but not the downward longwave fluxes.
format Article in Journal/Newspaper
author J. Dionne
K. von Salzen
J. Cole
R. Mahmood
W. R. Leaitch
G. Lesins
I. Folkins
R. Y.-W. Chang
author_facet J. Dionne
K. von Salzen
J. Cole
R. Mahmood
W. R. Leaitch
G. Lesins
I. Folkins
R. Y.-W. Chang
author_sort J. Dionne
title Modelling the relationship between liquid water content and cloud droplet number concentration observed in low clouds in the summer Arctic and its radiative effects
title_short Modelling the relationship between liquid water content and cloud droplet number concentration observed in low clouds in the summer Arctic and its radiative effects
title_full Modelling the relationship between liquid water content and cloud droplet number concentration observed in low clouds in the summer Arctic and its radiative effects
title_fullStr Modelling the relationship between liquid water content and cloud droplet number concentration observed in low clouds in the summer Arctic and its radiative effects
title_full_unstemmed Modelling the relationship between liquid water content and cloud droplet number concentration observed in low clouds in the summer Arctic and its radiative effects
title_sort modelling the relationship between liquid water content and cloud droplet number concentration observed in low clouds in the summer arctic and its radiative effects
publisher Copernicus Publications
publishDate 2020
url https://doi.org/10.5194/acp-20-29-2020
https://doaj.org/article/dcc1415a10774ddd946268809fd5c116
long_lat ENVELOPE(-94.842,-94.842,74.677,74.677)
geographic Arctic
Canada
Resolute Bay
geographic_facet Arctic
Canada
Resolute Bay
genre Arctic
Resolute Bay
genre_facet Arctic
Resolute Bay
op_source Atmospheric Chemistry and Physics, Vol 20, Pp 29-43 (2020)
op_relation https://www.atmos-chem-phys.net/20/29/2020/acp-20-29-2020.pdf
https://doaj.org/toc/1680-7316
https://doaj.org/toc/1680-7324
doi:10.5194/acp-20-29-2020
1680-7316
1680-7324
https://doaj.org/article/dcc1415a10774ddd946268809fd5c116
op_doi https://doi.org/10.5194/acp-20-29-2020
container_title Atmospheric Chemistry and Physics
container_volume 20
container_issue 1
container_start_page 29
op_container_end_page 43
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