DOI: | 10.2172/1052155
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报告号: | DOE/SC0002354--1
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报告题名: | Final Technical Report for "Ice nuclei relation to aerosol properties: Data analysis and model parameterization for IN in mixed-phase clouds" (DOE/SC00002354) |
作者: | Anthony Prenni; Kreidenweis, Sonia M. [Colorado State Univ., Fort Collins, CO (United States)]
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出版年: | 2012
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发表日期: | 2012-09-28
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总页数: | 20
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国家: | 美国
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语种: | 英语
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英文关键词: | ice nuclei
; mixed-phase clouds
; Arctic clouds
; aerosol-cloud interactions
; aerosol indirect effects
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中文主题词: | 大气科学
; 入射太阳辐射
; 太阳辐射
; 云
; 云性能
; 扩散
; 光学厚度
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主题词: | ATMOSPHERE
; INCOMING SOLAR RADIATION
; SOLAR RADIATION
; CLOUDS
; CLOUD PROPERTIES
; DIFFUSION
; OPTICAL DEPTH
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英文摘要: | Clouds play an important role in weather and climate. In addition to their key role in the hydrologic cycle, clouds scatter incoming solar radiation and trap infrared radiation from the surface and lower atmosphere. Despite their importance, feedbacks involving clouds remain as one of the largest sources of uncertainty in climate models. To better simulate cloud processes requires better characterization of cloud microphysical processes, which can affect the spatial extent, optical depth and lifetime of clouds. To this end, we developed a new parameterization to be used in numerical models that describes the variation of ice nuclei (IN) number concentrations active to form ice crystals in mixed-phase (water droplets and ice crystals co-existing) cloud conditions as these depend on existing aerosol properties and temperature. The parameterization is based on data collected using the Colorado State University continuous flow diffusion chamber in aircraft and ground-based campaigns over a 14-year period, including data from the DOE-supported Mixed-Phase Arctic Cloud Experiment. The resulting relationship is shown to more accurately represent the variability of ice nuclei distributions in the atmosphere compared to currently used parameterizations based on temperature alone. When implemented in one global climate model, the new parameterization predicted more realistic annually averaged cloud water and ice distributions, and cloud radiative properties, especially for sensitive higher latitude mixed-phase cloud regions. As a test of the new global IN scheme, it was compared to independent data collected during the 2008 DOE-sponsored Indirect and Semi-Direct Aerosol Campaign (ISDAC). Good agreement with this new data set suggests the broad applicability of the new scheme for describing general (non-chemically specific) aerosol influences on IN number concentrations feeding mixed-phase Arctic stratus clouds. Finally, the parameterization was implemented into a regional cloud-resolving model to compare predictions of ice crystal concentrations and other cloud properties to those observed in two intensive case studies of Arctic stratus during ISDAC. Our implementation included development of a prognostic scheme of ice activation using the IN parameterization so that the most realistic treatment of ice nuclei, including their budget (gains and losses), was achieved. Many cloud microphysical properties and cloud persistence were faithfully reproduced, despite a tendency to under-predict (by a few to several times) ice crystal number concentrations and cloud ice mass, in agreement with some other studies. This work serves generally as the basis for improving predictive schemes for cloud ice crystal activation in cloud and climate models, and more specifically as the basis for such a scheme to be used in a Multi-scale Modeling Format (MMF) that utilizes a connected system of cloud-resolving models on a global grid in an effort to better resolve cloud processes and their influence on climate. |
URL: | http://www.osti.gov/scitech/servlets/purl/1052155
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Citation statistics: |
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资源类型: | 研究报告
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标识符: | http://119.78.100.158/handle/2HF3EXSE/40518
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Appears in Collections: | 过去全球变化的重建 影响、适应和脆弱性 科学计划与规划 气候变化与战略 全球变化的国际研究计划 气候减缓与适应 气候变化事实与影响
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1052155.pdf(2065KB) | 研究报告 | -- | 开放获取 | | View
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Recommended Citation: |
Anthony Prenni,Kreidenweis, Sonia M. [Colorado State Univ., Fort Collins, CO . Final Technical Report for "Ice nuclei relation to aerosol properties: Data analysis and model parameterization for IN in mixed-phase clouds" (DOE/SC00002354). 2012-01-01.
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