| DOI: | 10.2172/1051005
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| 报告号: | DOE/SC/05507-1
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| 报告题名: | Final Report on the Development of an Improved Cloud Microphysical Product for Model and Remote Sensing Evaluation using RACORO Observations |
| 作者: | McFarquhar, Greg
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| 出版年: | 2012
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| 发表日期: | 2012-09-19
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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: | cloud microphysics remote sensing
|
| 中文主题词: | 云
; 云粒子物理学
; 雷达
; 雷达反射率
|
| 主题词: | CLOUDS
; CLOUD MICROPHYSICS
; RADAR
; RADAR REFLECTIVITY
|
| 英文摘要: | We proposed to analyze data collected during the Routine Aerial Facilities (AAF) Clouds with Low Optical Water Depths (CLOWD) Optical Radiative Observations (RACORO) in order to develop an integrated product of cloud microphysical properties (number concentration of drops in different size bins, total liquid drop concentration integrated over all bin sizes, liquid water content LWC, extinction of liquid clouds bw, effective radius of water drops re, and radar reflectivity factor) that could be used to evaluate large-eddy simulations (LES), general circulation models (GCMs) and ground-based remote sensing retrievals, and to develop cloud parameterizations with the end goal of improving the modeling of cloud processes and properties and their impact on atmospheric radiation. We have completed the development of this microphysical database and have submitted it to ARM for consideration of its inclusion on the ARM database as a PI product. This report describes the development of this database, and also describes research that has been conducted on cloud-aerosol interactions using the data obtained during RACORO. A list of conference proceedings and publications is also included. |
| URL: | http://www.osti.gov/scitech/servlets/purl/1051005
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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/40531
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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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| 1051005.pdf（39KB） | 研究报告 | -- | 开放获取 | | View
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| Recommended Citation: | |
McFarquhar, Greg. Final Report on the Development of an Improved Cloud Microphysical Product for Model and Remote Sensing Evaluation using RACORO Observations. 2012-01-01.
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