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...
Published in: | Atmospheric Chemistry and Physics |
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Format: | Article in Journal/Newspaper |
Language: | English |
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European Geoscience Union
2020
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Online Access: | http://hdl.handle.net/2117/178812 https://doi.org/10.5194/acp-20-29-2020 |
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ftupcatalunyair:oai:upcommons.upc.edu:2117/178812 2024-09-15T17:51:06+00:00 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 von Cole, Jason Mahmood, Rashed Leaitch, W. Richard Lesins, Glen Folkins, Ian Chang, Rachel Barcelona Supercomputing Center 2020-01-02 15 p. application/pdf http://hdl.handle.net/2117/178812 https://doi.org/10.5194/acp-20-29-2020 eng eng European Geoscience Union https://www.atmos-chem-phys.net/20/29/2020/ Dionne, J. [et al.]. Modelling the relationship between liquid water content and cloud droplet number concentration observed in low clouds in the summer Arctic and its radiative effects. "Atmospheric chemistry and physics", 2 Gener 2020, vol. 20, núm. 1, p. 29-43. 1680-7324 http://hdl.handle.net/2117/178812 doi:10.5194/acp-20-29-2020 Attribution 3.0 Spain (CC BY 3.0 ES) Attribution 4.0 International (CC BY 4.0) https://creativecommons.org/licenses/by/3.0/es/deed.en https://creativecommons.org/licenses/by/4.0/ Open Access Àrees temàtiques de la UPC::Desenvolupament humà i sostenible::Degradació ambiental::Canvi climàtic Climatic changes Liquid water content Cloud droplet number concentration Summer Arctic Canvis climàtics Article 2020 ftupcatalunyair https://doi.org/10.5194/acp-20-29-2020 2024-08-02T04:37:59Z 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. This research has been supported by the Natural Sciences and Engineering Research Council of Canada (Discovery Grants RGPIN-2014-05173 and RGPIN 155649) and the Marine Environmental Observation, Prediction and Response Network (MEOPAR), which is a federally funded Networks of Centres of Excellence (NCE) ... Article in Journal/Newspaper Arctic Resolute Bay Universitat Politècnica de Catalunya, BarcelonaTech: UPCommons - Global access to UPC knowledge Atmospheric Chemistry and Physics 20 1 29 43 |
institution |
Open Polar |
collection |
Universitat Politècnica de Catalunya, BarcelonaTech: UPCommons - Global access to UPC knowledge |
op_collection_id |
ftupcatalunyair |
language |
English |
topic |
Àrees temàtiques de la UPC::Desenvolupament humà i sostenible::Degradació ambiental::Canvi climàtic Climatic changes Liquid water content Cloud droplet number concentration Summer Arctic Canvis climàtics |
spellingShingle |
Àrees temàtiques de la UPC::Desenvolupament humà i sostenible::Degradació ambiental::Canvi climàtic Climatic changes Liquid water content Cloud droplet number concentration Summer Arctic Canvis climàtics Dionne, Joelle Salzen, Knut von Cole, Jason Mahmood, Rashed Leaitch, W. Richard Lesins, Glen Folkins, Ian Chang, Rachel 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 |
Àrees temàtiques de la UPC::Desenvolupament humà i sostenible::Degradació ambiental::Canvi climàtic Climatic changes Liquid water content Cloud droplet number concentration Summer Arctic Canvis climàtics |
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. This research has been supported by the Natural Sciences and Engineering Research Council of Canada (Discovery Grants RGPIN-2014-05173 and RGPIN 155649) and the Marine Environmental Observation, Prediction and Response Network (MEOPAR), which is a federally funded Networks of Centres of Excellence (NCE) ... |
author2 |
Barcelona Supercomputing Center |
format |
Article in Journal/Newspaper |
author |
Dionne, Joelle Salzen, Knut von Cole, Jason Mahmood, Rashed Leaitch, W. Richard Lesins, Glen Folkins, Ian Chang, Rachel |
author_facet |
Dionne, Joelle Salzen, Knut von Cole, Jason Mahmood, Rashed Leaitch, W. Richard Lesins, Glen Folkins, Ian Chang, Rachel |
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 |
publisher |
European Geoscience Union |
publishDate |
2020 |
url |
http://hdl.handle.net/2117/178812 https://doi.org/10.5194/acp-20-29-2020 |
genre |
Arctic Resolute Bay |
genre_facet |
Arctic Resolute Bay |
op_relation |
https://www.atmos-chem-phys.net/20/29/2020/ Dionne, J. [et al.]. Modelling the relationship between liquid water content and cloud droplet number concentration observed in low clouds in the summer Arctic and its radiative effects. "Atmospheric chemistry and physics", 2 Gener 2020, vol. 20, núm. 1, p. 29-43. 1680-7324 http://hdl.handle.net/2117/178812 doi:10.5194/acp-20-29-2020 |
op_rights |
Attribution 3.0 Spain (CC BY 3.0 ES) Attribution 4.0 International (CC BY 4.0) https://creativecommons.org/licenses/by/3.0/es/deed.en https://creativecommons.org/licenses/by/4.0/ Open Access |
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 |
_version_ |
1810292914951028736 |