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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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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1766332561885233152 |