| DOI: | 10.2172/1240272
|
| 报告号: | DOE-COLUMBIA--06712
|
| 报告题名: | Advancing cloud lifecycle representation in numerical models using innovative analysis methods that bridge arm observations over a breadth of scales |
| 作者: | Tselioudis, George
|
| 出版年: | 2016
|
| 发表日期: | 2016-03-04
|
| 总页数: | 7
|
| 国家: | 美国
|
| 语种: | 英语
|
| 英文关键词: | CLOUDS. RADIATION. MODELING.
|
| 中文主题词: | 云
|
| 主题词: | CLOUDS
|
| 英文摘要: | From its location on the subtropics-midlatitude boundary, the Azores is influenced by both the subtropical high pressure and the midlatitude baroclinic storm regimes, and therefore experiences a wide range of cloud structures, from fair-weather scenes to stratocumulus sheets to deep convective systems. This project combined three types of data sets to study cloud variability in the Azores: a satellite analysis of cloud regimes, a reanalysis characterization of storminess, and a 19-month field campaign that occurred on Graciosa Island. Combined analysis of the three data sets provides a detailed picture of cloud variability and the respective dynamic influences, with emphasis on low clouds that constitute a major uncertainty source in climate model simulations. The satellite cloud regime analysis shows that the Azores cloud distribution is similar to the mean global distribution and can therefore be used to evaluate cloud simulation in global models. Regime analysis of low clouds shows that stratocumulus decks occur under the influence of the Azores high-pressure system, while shallow cumulus clouds are sustained by cold-air outbreaks, as revealed by their preference for post-frontal environments and northwesterly flows. An evaluation of CMIP5 climate model cloud regimes over the Azores shows that all models severely underpredict shallow cumulus clouds, while most models also underpredict the occurrence of stratocumulus cloud decks. It is demonstrated that carefully selected case studies can be related through regime analysis to climatological cloud distributions, and a methodology is suggested utilizing process-resolving model simulations of individual cases to better understand cloud-dynamics interactions and attempt to explain and correct climate model cloud deficiencies. |
| URL: | http://www.osti.gov/scitech/servlets/purl/1240272
|
| Citation statistics: |
|
| 资源类型: | 研究报告
|
| 标识符: | http://119.78.100.158/handle/2HF3EXSE/42208
|
| 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
|
| File Name/ File Size |
Content Type |
Version |
Access |
License |
|
|---|
| 1240272.pdf（537KB） | 研究报告 | -- | 开放获取 | | View
Download
|
|
| Recommended Citation: | |
Tselioudis, George. Advancing cloud lifecycle representation in numerical models using innovative analysis methods that bridge arm observations over a breadth of scales. 2016-01-01.
|
|
|