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: Dionne, Joelle, Salzen, Knut, Cole, Jason, Mahmood, Rashed, Leaitch, W. Richard, Lesins, Glen, Folkins, Ian, Chang, Rachel Y.-W.
Format: Text
Language:English
Published: 2020
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Online Access:https://doi.org/10.5194/acp-20-29-2020
https://www.atmos-chem-phys.net/20/29/2020/
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spelling ftcopernicus:oai:publications.copernicus.org:acp75422 2023-05-15T15:00:47+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 Dionne, Joelle Salzen, Knut Cole, Jason Mahmood, Rashed Leaitch, W. Richard Lesins, Glen Folkins, Ian Chang, Rachel Y.-W. 2020-01-02 application/pdf https://doi.org/10.5194/acp-20-29-2020 https://www.atmos-chem-phys.net/20/29/2020/ eng eng doi:10.5194/acp-20-29-2020 https://www.atmos-chem-phys.net/20/29/2020/ eISSN: 1680-7324 Text 2020 ftcopernicus https://doi.org/10.5194/acp-20-29-2020 2020-01-06T15:41:59Z 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. Text Arctic Resolute Bay Copernicus Publications: E-Journals Arctic Canada Resolute Bay ENVELOPE(-94.842,-94.842,74.677,74.677) Atmospheric Chemistry and Physics 20 1 29 43
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collection Copernicus Publications: E-Journals
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language English
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 Text
author Dionne, Joelle
Salzen, Knut
Cole, Jason
Mahmood, Rashed
Leaitch, W. Richard
Lesins, Glen
Folkins, Ian
Chang, Rachel Y.-W.
spellingShingle Dionne, Joelle
Salzen, Knut
Cole, Jason
Mahmood, Rashed
Leaitch, W. Richard
Lesins, Glen
Folkins, Ian
Chang, Rachel Y.-W.
Modelling the relationship between liquid water content and cloud droplet number concentration observed in low clouds in the summer Arctic and its radiative effects
author_facet Dionne, Joelle
Salzen, Knut
Cole, Jason
Mahmood, Rashed
Leaitch, W. Richard
Lesins, Glen
Folkins, Ian
Chang, Rachel Y.-W.
author_sort Dionne, Joelle
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
publishDate 2020
url https://doi.org/10.5194/acp-20-29-2020
https://www.atmos-chem-phys.net/20/29/2020/
long_lat ENVELOPE(-94.842,-94.842,74.677,74.677)
geographic Arctic
Canada
Resolute Bay
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Canada
Resolute Bay
genre Arctic
Resolute Bay
genre_facet Arctic
Resolute Bay
op_source eISSN: 1680-7324
op_relation doi:10.5194/acp-20-29-2020
https://www.atmos-chem-phys.net/20/29/2020/
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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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