Process-model simulations of cloud albedo enhancement by aerosols in the Arctic
A cloud-resolving model is used to simulate the effectiveness of Arctic marine cloud brightening via injection of cloud condensation nuclei (CCN), either through geoengineering or other increased sources of Arctic aerosols. An updated cloud microphysical scheme is employed, with prognostic CCN and c...
Published in: | Philosophical Transactions of the Royal Society A: Mathematical, Physical and Engineering Sciences |
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crroyalsociety:10.1098/rsta.2014.0052 2024-06-02T07:54:29+00:00 Process-model simulations of cloud albedo enhancement by aerosols in the Arctic Kravitz, Ben Wang, Hailong Rasch, Philip J. Morrison, Hugh Solomon, Amy B. 2014 http://dx.doi.org/10.1098/rsta.2014.0052 https://royalsocietypublishing.org/doi/pdf/10.1098/rsta.2014.0052 https://royalsocietypublishing.org/doi/full-xml/10.1098/rsta.2014.0052 en eng The Royal Society https://royalsociety.org/journals/ethics-policies/data-sharing-mining/ Philosophical Transactions of the Royal Society A: Mathematical, Physical and Engineering Sciences volume 372, issue 2031, page 20140052 ISSN 1364-503X 1471-2962 journal-article 2014 crroyalsociety https://doi.org/10.1098/rsta.2014.0052 2024-05-07T14:16:26Z A cloud-resolving model is used to simulate the effectiveness of Arctic marine cloud brightening via injection of cloud condensation nuclei (CCN), either through geoengineering or other increased sources of Arctic aerosols. An updated cloud microphysical scheme is employed, with prognostic CCN and cloud particle numbers in both liquid and mixed-phase marine low clouds. Injection of CCN into the marine boundary layer can delay the collapse of the boundary layer and increase low-cloud albedo. Albedo increases are stronger for pure liquid clouds than mixed-phase clouds. Liquid precipitation can be suppressed by CCN injection, whereas ice precipitation (snow) is affected less; thus, the effectiveness of brightening mixed-phase clouds is lower than for liquid-only clouds. CCN injection into a clean regime results in a greater albedo increase than injection into a polluted regime, consistent with current knowledge about aerosol–cloud interactions. Unlike previous studies investigating warm clouds, dynamical changes in circulation owing to precipitation changes are small. According to these results, which are dependent upon the representation of ice nucleation processes in the employed microphysical scheme, Arctic geoengineering is unlikely to be effective as the sole means of altering the global radiation budget but could have substantial local radiative effects. Article in Journal/Newspaper albedo Arctic The Royal Society Arctic Philosophical Transactions of the Royal Society A: Mathematical, Physical and Engineering Sciences 372 2031 20140052 |
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Open Polar |
collection |
The Royal Society |
op_collection_id |
crroyalsociety |
language |
English |
description |
A cloud-resolving model is used to simulate the effectiveness of Arctic marine cloud brightening via injection of cloud condensation nuclei (CCN), either through geoengineering or other increased sources of Arctic aerosols. An updated cloud microphysical scheme is employed, with prognostic CCN and cloud particle numbers in both liquid and mixed-phase marine low clouds. Injection of CCN into the marine boundary layer can delay the collapse of the boundary layer and increase low-cloud albedo. Albedo increases are stronger for pure liquid clouds than mixed-phase clouds. Liquid precipitation can be suppressed by CCN injection, whereas ice precipitation (snow) is affected less; thus, the effectiveness of brightening mixed-phase clouds is lower than for liquid-only clouds. CCN injection into a clean regime results in a greater albedo increase than injection into a polluted regime, consistent with current knowledge about aerosol–cloud interactions. Unlike previous studies investigating warm clouds, dynamical changes in circulation owing to precipitation changes are small. According to these results, which are dependent upon the representation of ice nucleation processes in the employed microphysical scheme, Arctic geoengineering is unlikely to be effective as the sole means of altering the global radiation budget but could have substantial local radiative effects. |
format |
Article in Journal/Newspaper |
author |
Kravitz, Ben Wang, Hailong Rasch, Philip J. Morrison, Hugh Solomon, Amy B. |
spellingShingle |
Kravitz, Ben Wang, Hailong Rasch, Philip J. Morrison, Hugh Solomon, Amy B. Process-model simulations of cloud albedo enhancement by aerosols in the Arctic |
author_facet |
Kravitz, Ben Wang, Hailong Rasch, Philip J. Morrison, Hugh Solomon, Amy B. |
author_sort |
Kravitz, Ben |
title |
Process-model simulations of cloud albedo enhancement by aerosols in the Arctic |
title_short |
Process-model simulations of cloud albedo enhancement by aerosols in the Arctic |
title_full |
Process-model simulations of cloud albedo enhancement by aerosols in the Arctic |
title_fullStr |
Process-model simulations of cloud albedo enhancement by aerosols in the Arctic |
title_full_unstemmed |
Process-model simulations of cloud albedo enhancement by aerosols in the Arctic |
title_sort |
process-model simulations of cloud albedo enhancement by aerosols in the arctic |
publisher |
The Royal Society |
publishDate |
2014 |
url |
http://dx.doi.org/10.1098/rsta.2014.0052 https://royalsocietypublishing.org/doi/pdf/10.1098/rsta.2014.0052 https://royalsocietypublishing.org/doi/full-xml/10.1098/rsta.2014.0052 |
geographic |
Arctic |
geographic_facet |
Arctic |
genre |
albedo Arctic |
genre_facet |
albedo Arctic |
op_source |
Philosophical Transactions of the Royal Society A: Mathematical, Physical and Engineering Sciences volume 372, issue 2031, page 20140052 ISSN 1364-503X 1471-2962 |
op_rights |
https://royalsociety.org/journals/ethics-policies/data-sharing-mining/ |
op_doi |
https://doi.org/10.1098/rsta.2014.0052 |
container_title |
Philosophical Transactions of the Royal Society A: Mathematical, Physical and Engineering Sciences |
container_volume |
372 |
container_issue |
2031 |
container_start_page |
20140052 |
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1800740686684749824 |