Simulations of arctic mixed-phase clouds in forecasts with CAM3 and AM2 for M-PACE
[1] Simulations of mixed-phase clouds in forecasts with the NCAR Atmosphere Model version 3 (CAM3) and the GFDL Atmospheric Model version 2 (AM2) for the Mixed-Phase Arctic Cloud Experiment (M-PACE) are performed using analysis data from numerical weather prediction centers. CAM3 significantly under...
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ftosti:oai:osti.gov:1281698 2023-07-30T04:01:18+02:00 Simulations of arctic mixed-phase clouds in forecasts with CAM3 and AM2 for M-PACE Xie, Shaocheng Boyle, James Klein, Stephen A. Liu, Xiaohong Ghan, Steven 2021-10-25 application/pdf http://www.osti.gov/servlets/purl/1281698 https://www.osti.gov/biblio/1281698 https://doi.org/10.1029/2007JD009225 unknown http://www.osti.gov/servlets/purl/1281698 https://www.osti.gov/biblio/1281698 https://doi.org/10.1029/2007JD009225 doi:10.1029/2007JD009225 54 ENVIRONMENTAL SCIENCES 2021 ftosti https://doi.org/10.1029/2007JD009225 2023-07-11T09:09:41Z [1] Simulations of mixed-phase clouds in forecasts with the NCAR Atmosphere Model version 3 (CAM3) and the GFDL Atmospheric Model version 2 (AM2) for the Mixed-Phase Arctic Cloud Experiment (M-PACE) are performed using analysis data from numerical weather prediction centers. CAM3 significantly underestimates the observed boundary layer mixed-phase cloud fraction and cannot realistically simulate the variations of liquid water fraction with temperature and cloud height due to its oversimplified cloud microphysical scheme. In contrast, AM2 reasonably reproduces the observed boundary layer cloud fraction while its clouds contain much less cloud condensate than CAM3 and the observations. The simulation of the boundary layer mixed-phase clouds and their microphysical properties is considerably improved in CAM3 when a new physically based cloud microphysical scheme is used (CAM3LIU). The new scheme also leads to an improved simulation of the surface and top of the atmosphere longwave radiative fluxes. Sensitivity tests show that these results are not sensitive to the analysis data used for model initialization. Increasing model horizontal resolution helps capture the subgrid-scale features in Arctic frontal clouds but does not help improve the simulation of the single-layer boundary layer clouds. AM2 simulated cloud fraction and LWP are sensitive to the change in cloud ice number concentrations used in the Wegener-Bergeron-Findeisen process while CAM3LIU only shows moderate sensitivity in its cloud fields to this change. Furthermore, this paper shows that the Wegener-Bergeron-Findeisen process is important for these models to correctly simulate the observed features of mixed-phase clouds. Other/Unknown Material Arctic SciTec Connect (Office of Scientific and Technical Information - OSTI, U.S. Department of Energy) Arctic Journal of Geophysical Research 113 D4 |
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SciTec Connect (Office of Scientific and Technical Information - OSTI, U.S. Department of Energy) |
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language |
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54 ENVIRONMENTAL SCIENCES |
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54 ENVIRONMENTAL SCIENCES Xie, Shaocheng Boyle, James Klein, Stephen A. Liu, Xiaohong Ghan, Steven Simulations of arctic mixed-phase clouds in forecasts with CAM3 and AM2 for M-PACE |
topic_facet |
54 ENVIRONMENTAL SCIENCES |
description |
[1] Simulations of mixed-phase clouds in forecasts with the NCAR Atmosphere Model version 3 (CAM3) and the GFDL Atmospheric Model version 2 (AM2) for the Mixed-Phase Arctic Cloud Experiment (M-PACE) are performed using analysis data from numerical weather prediction centers. CAM3 significantly underestimates the observed boundary layer mixed-phase cloud fraction and cannot realistically simulate the variations of liquid water fraction with temperature and cloud height due to its oversimplified cloud microphysical scheme. In contrast, AM2 reasonably reproduces the observed boundary layer cloud fraction while its clouds contain much less cloud condensate than CAM3 and the observations. The simulation of the boundary layer mixed-phase clouds and their microphysical properties is considerably improved in CAM3 when a new physically based cloud microphysical scheme is used (CAM3LIU). The new scheme also leads to an improved simulation of the surface and top of the atmosphere longwave radiative fluxes. Sensitivity tests show that these results are not sensitive to the analysis data used for model initialization. Increasing model horizontal resolution helps capture the subgrid-scale features in Arctic frontal clouds but does not help improve the simulation of the single-layer boundary layer clouds. AM2 simulated cloud fraction and LWP are sensitive to the change in cloud ice number concentrations used in the Wegener-Bergeron-Findeisen process while CAM3LIU only shows moderate sensitivity in its cloud fields to this change. Furthermore, this paper shows that the Wegener-Bergeron-Findeisen process is important for these models to correctly simulate the observed features of mixed-phase clouds. |
author |
Xie, Shaocheng Boyle, James Klein, Stephen A. Liu, Xiaohong Ghan, Steven |
author_facet |
Xie, Shaocheng Boyle, James Klein, Stephen A. Liu, Xiaohong Ghan, Steven |
author_sort |
Xie, Shaocheng |
title |
Simulations of arctic mixed-phase clouds in forecasts with CAM3 and AM2 for M-PACE |
title_short |
Simulations of arctic mixed-phase clouds in forecasts with CAM3 and AM2 for M-PACE |
title_full |
Simulations of arctic mixed-phase clouds in forecasts with CAM3 and AM2 for M-PACE |
title_fullStr |
Simulations of arctic mixed-phase clouds in forecasts with CAM3 and AM2 for M-PACE |
title_full_unstemmed |
Simulations of arctic mixed-phase clouds in forecasts with CAM3 and AM2 for M-PACE |
title_sort |
simulations of arctic mixed-phase clouds in forecasts with cam3 and am2 for m-pace |
publishDate |
2021 |
url |
http://www.osti.gov/servlets/purl/1281698 https://www.osti.gov/biblio/1281698 https://doi.org/10.1029/2007JD009225 |
geographic |
Arctic |
geographic_facet |
Arctic |
genre |
Arctic |
genre_facet |
Arctic |
op_relation |
http://www.osti.gov/servlets/purl/1281698 https://www.osti.gov/biblio/1281698 https://doi.org/10.1029/2007JD009225 doi:10.1029/2007JD009225 |
op_doi |
https://doi.org/10.1029/2007JD009225 |
container_title |
Journal of Geophysical Research |
container_volume |
113 |
container_issue |
D4 |
_version_ |
1772812038770262016 |