Evaluation of A New Mixed-Phase Cloud Microphysics Parameterization with the NCAR Climate Atmospheric Model (CAM3) and ARM Observations Fourth Quarter 2007 ARM Metric Report
Mixed-phase clouds are composed of a mixture of cloud droplets and ice crystals. The cloud microphysics in mixed-phase clouds can significantly impact cloud optical depth, cloud radiative forcing, and cloud coverage. However, the treatment of mixed-phase clouds in most current climate models is crud...
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ftosti:oai:osti.gov:948097 2023-07-30T04:01:51+02:00 Evaluation of A New Mixed-Phase Cloud Microphysics Parameterization with the NCAR Climate Atmospheric Model (CAM3) and ARM Observations Fourth Quarter 2007 ARM Metric Report X Liu SJ Ghan S Xie J Boyle SA Klein 2016-06-20 application/pdf http://www.osti.gov/servlets/purl/948097 https://www.osti.gov/biblio/948097 https://doi.org/10.2172/948097 unknown http://www.osti.gov/servlets/purl/948097 https://www.osti.gov/biblio/948097 https://doi.org/10.2172/948097 doi:10.2172/948097 54 ENVIRONMENTAL SCIENCES CLIMATE MODELS CLIMATES CLOUDS DEPOSITION EVALUATION METRICS MIXTURES NUCLEATION RADIATIONS SIMULATION WATER WATER VAPOR WEATHER 2016 ftosti https://doi.org/10.2172/948097 2023-07-11T08:46:55Z Mixed-phase clouds are composed of a mixture of cloud droplets and ice crystals. The cloud microphysics in mixed-phase clouds can significantly impact cloud optical depth, cloud radiative forcing, and cloud coverage. However, the treatment of mixed-phase clouds in most current climate models is crude and the partitioning of condensed water into liquid droplets and ice crystals is prescribed as temperature dependent functions. In our previous 2007 ARM metric reports a new mixed-phase cloud microphysics parameterization (for ice nucleation and water vapor deposition) was documented and implemented in the NCAR Community Atmospheric Model Version 3 (CAM3). The new scheme was tested against the Atmospheric Radiation Measurement (ARM) Mixed-phase Arctic Cloud Experiment (M-PACE) observations using the single column modeling and short-range weather forecast approaches. In this report this new parameterization is further tested with CAM3 in its climate simulations. It is shown that the predicted ice water content from CAM3 with the new parameterization is in better agreement with the ARM measurements at the Southern Great Plain (SGP) site for the mixed-phase clouds. Other/Unknown Material Arctic SciTec Connect (Office of Scientific and Technical Information - OSTI, U.S. Department of Energy) Arctic |
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SciTec Connect (Office of Scientific and Technical Information - OSTI, U.S. Department of Energy) |
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54 ENVIRONMENTAL SCIENCES CLIMATE MODELS CLIMATES CLOUDS DEPOSITION EVALUATION METRICS MIXTURES NUCLEATION RADIATIONS SIMULATION WATER WATER VAPOR WEATHER |
spellingShingle |
54 ENVIRONMENTAL SCIENCES CLIMATE MODELS CLIMATES CLOUDS DEPOSITION EVALUATION METRICS MIXTURES NUCLEATION RADIATIONS SIMULATION WATER WATER VAPOR WEATHER X Liu SJ Ghan S Xie J Boyle SA Klein Evaluation of A New Mixed-Phase Cloud Microphysics Parameterization with the NCAR Climate Atmospheric Model (CAM3) and ARM Observations Fourth Quarter 2007 ARM Metric Report |
topic_facet |
54 ENVIRONMENTAL SCIENCES CLIMATE MODELS CLIMATES CLOUDS DEPOSITION EVALUATION METRICS MIXTURES NUCLEATION RADIATIONS SIMULATION WATER WATER VAPOR WEATHER |
description |
Mixed-phase clouds are composed of a mixture of cloud droplets and ice crystals. The cloud microphysics in mixed-phase clouds can significantly impact cloud optical depth, cloud radiative forcing, and cloud coverage. However, the treatment of mixed-phase clouds in most current climate models is crude and the partitioning of condensed water into liquid droplets and ice crystals is prescribed as temperature dependent functions. In our previous 2007 ARM metric reports a new mixed-phase cloud microphysics parameterization (for ice nucleation and water vapor deposition) was documented and implemented in the NCAR Community Atmospheric Model Version 3 (CAM3). The new scheme was tested against the Atmospheric Radiation Measurement (ARM) Mixed-phase Arctic Cloud Experiment (M-PACE) observations using the single column modeling and short-range weather forecast approaches. In this report this new parameterization is further tested with CAM3 in its climate simulations. It is shown that the predicted ice water content from CAM3 with the new parameterization is in better agreement with the ARM measurements at the Southern Great Plain (SGP) site for the mixed-phase clouds. |
author |
X Liu SJ Ghan S Xie J Boyle SA Klein |
author_facet |
X Liu SJ Ghan S Xie J Boyle SA Klein |
author_sort |
X Liu |
title |
Evaluation of A New Mixed-Phase Cloud Microphysics Parameterization with the NCAR Climate Atmospheric Model (CAM3) and ARM Observations Fourth Quarter 2007 ARM Metric Report |
title_short |
Evaluation of A New Mixed-Phase Cloud Microphysics Parameterization with the NCAR Climate Atmospheric Model (CAM3) and ARM Observations Fourth Quarter 2007 ARM Metric Report |
title_full |
Evaluation of A New Mixed-Phase Cloud Microphysics Parameterization with the NCAR Climate Atmospheric Model (CAM3) and ARM Observations Fourth Quarter 2007 ARM Metric Report |
title_fullStr |
Evaluation of A New Mixed-Phase Cloud Microphysics Parameterization with the NCAR Climate Atmospheric Model (CAM3) and ARM Observations Fourth Quarter 2007 ARM Metric Report |
title_full_unstemmed |
Evaluation of A New Mixed-Phase Cloud Microphysics Parameterization with the NCAR Climate Atmospheric Model (CAM3) and ARM Observations Fourth Quarter 2007 ARM Metric Report |
title_sort |
evaluation of a new mixed-phase cloud microphysics parameterization with the ncar climate atmospheric model (cam3) and arm observations fourth quarter 2007 arm metric report |
publishDate |
2016 |
url |
http://www.osti.gov/servlets/purl/948097 https://www.osti.gov/biblio/948097 https://doi.org/10.2172/948097 |
geographic |
Arctic |
geographic_facet |
Arctic |
genre |
Arctic |
genre_facet |
Arctic |
op_relation |
http://www.osti.gov/servlets/purl/948097 https://www.osti.gov/biblio/948097 https://doi.org/10.2172/948097 doi:10.2172/948097 |
op_doi |
https://doi.org/10.2172/948097 |
_version_ |
1772812594969575424 |