Effect of microphysics scheme and data assimilation on hydrometeor and radiative flux simulations in the Arctic
Although clouds are a major factor influencing atmospheric environments in the Arctic, numerical simulations of Arctic clouds are uncertain. In this study, the effects of microphysics scheme and data assimilation (DA) on the simulation of clouds, hydrometeors and radiative fluxes in the Arctic were...
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crroyalsociety:10.1098/rsos.240594 2024-09-30T14:29:48+00:00 Effect of microphysics scheme and data assimilation on hydrometeor and radiative flux simulations in the Arctic Kim, Dae-Hui Kim, Hyun Mee Yonsei Signature Research Cluster Program National Research Foundation of Korea 2024 http://dx.doi.org/10.1098/rsos.240594 https://royalsocietypublishing.org/doi/pdf/10.1098/rsos.240594 https://royalsocietypublishing.org/doi/full-xml/10.1098/rsos.240594 en eng The Royal Society http://creativecommons.org/licenses/by/4.0/ http://creativecommons.org/licenses/by/4.0/ Royal Society Open Science volume 11, issue 9 ISSN 2054-5703 journal-article 2024 crroyalsociety https://doi.org/10.1098/rsos.240594 2024-09-09T06:01:18Z Although clouds are a major factor influencing atmospheric environments in the Arctic, numerical simulations of Arctic clouds are uncertain. In this study, the effects of microphysics scheme and data assimilation (DA) on the simulation of clouds, hydrometeors and radiative fluxes in the Arctic were investigated using the polar weather research and forecasting (WRF) model and three-dimensional variational DA. Compared with the WRF 5-class (WSM5) microphysics scheme, when the Morrison double-moment (Morrison) scheme was used, the simulated amount of cloud ice water decreased by approximately 68%. In contrast, the amount of water vapour, cloud liquid water, snow and rain in the atmosphere increased. With DA, the amount of water vapour increased, leading to increased hydrometeors. The cloud liquid water increased in the middle and low atmospheres when Morrison was used, whereas it increased in the low atmosphere when DA was used. The increase in cloud liquid water by using Morrison resulted in a decrease in the downward short-wave radiative flux at the surface, whereas using DA increased the downward long-wave radiative flux. Changing the microphysics scheme induced redistribution of the region and amounts of hydrometeors, whereas DA induced an increase in hydrometeors in specific regions by adding observation information to the model states. Article in Journal/Newspaper Arctic The Royal Society Arctic Morrison ENVELOPE(-63.533,-63.533,-66.167,-66.167) Royal Society Open Science 11 9 |
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Open Polar |
collection |
The Royal Society |
op_collection_id |
crroyalsociety |
language |
English |
description |
Although clouds are a major factor influencing atmospheric environments in the Arctic, numerical simulations of Arctic clouds are uncertain. In this study, the effects of microphysics scheme and data assimilation (DA) on the simulation of clouds, hydrometeors and radiative fluxes in the Arctic were investigated using the polar weather research and forecasting (WRF) model and three-dimensional variational DA. Compared with the WRF 5-class (WSM5) microphysics scheme, when the Morrison double-moment (Morrison) scheme was used, the simulated amount of cloud ice water decreased by approximately 68%. In contrast, the amount of water vapour, cloud liquid water, snow and rain in the atmosphere increased. With DA, the amount of water vapour increased, leading to increased hydrometeors. The cloud liquid water increased in the middle and low atmospheres when Morrison was used, whereas it increased in the low atmosphere when DA was used. The increase in cloud liquid water by using Morrison resulted in a decrease in the downward short-wave radiative flux at the surface, whereas using DA increased the downward long-wave radiative flux. Changing the microphysics scheme induced redistribution of the region and amounts of hydrometeors, whereas DA induced an increase in hydrometeors in specific regions by adding observation information to the model states. |
author2 |
Yonsei Signature Research Cluster Program National Research Foundation of Korea |
format |
Article in Journal/Newspaper |
author |
Kim, Dae-Hui Kim, Hyun Mee |
spellingShingle |
Kim, Dae-Hui Kim, Hyun Mee Effect of microphysics scheme and data assimilation on hydrometeor and radiative flux simulations in the Arctic |
author_facet |
Kim, Dae-Hui Kim, Hyun Mee |
author_sort |
Kim, Dae-Hui |
title |
Effect of microphysics scheme and data assimilation on hydrometeor and radiative flux simulations in the Arctic |
title_short |
Effect of microphysics scheme and data assimilation on hydrometeor and radiative flux simulations in the Arctic |
title_full |
Effect of microphysics scheme and data assimilation on hydrometeor and radiative flux simulations in the Arctic |
title_fullStr |
Effect of microphysics scheme and data assimilation on hydrometeor and radiative flux simulations in the Arctic |
title_full_unstemmed |
Effect of microphysics scheme and data assimilation on hydrometeor and radiative flux simulations in the Arctic |
title_sort |
effect of microphysics scheme and data assimilation on hydrometeor and radiative flux simulations in the arctic |
publisher |
The Royal Society |
publishDate |
2024 |
url |
http://dx.doi.org/10.1098/rsos.240594 https://royalsocietypublishing.org/doi/pdf/10.1098/rsos.240594 https://royalsocietypublishing.org/doi/full-xml/10.1098/rsos.240594 |
long_lat |
ENVELOPE(-63.533,-63.533,-66.167,-66.167) |
geographic |
Arctic Morrison |
geographic_facet |
Arctic Morrison |
genre |
Arctic |
genre_facet |
Arctic |
op_source |
Royal Society Open Science volume 11, issue 9 ISSN 2054-5703 |
op_rights |
http://creativecommons.org/licenses/by/4.0/ http://creativecommons.org/licenses/by/4.0/ |
op_doi |
https://doi.org/10.1098/rsos.240594 |
container_title |
Royal Society Open Science |
container_volume |
11 |
container_issue |
9 |
_version_ |
1811635006097850368 |