GSTDTAP
项目编号1522829
Exploring the Linkages among Mid-Latitude Dynamics, Clouds, and Climate Sensitivity
Kevin Grise
主持机构University of Virginia Main Campus
项目开始年2015
2015-08-01
项目结束日期2018-07-31
资助机构US-NSF
项目类别Standard Grant
项目经费298314(USD)
国家美国
语种英语
英文摘要The goal of this research is to better understand the connection between mid-latitude clouds and dynamics in observations. The reasons for why the such linkages are well-represented in some global climate models but not in others will be studied. The implications of these processes on model climate sensitivity and future climate projections will also be examined. In the first part of the project, observed and model cloud radiative properties will be composited with respect to the centers of cyclones and anticyclones over the mid-latitude oceans of the Northern and Southern Hemispheres, to examine in the sectors of weather systems linked to model biases and uncertainties in future climate projections.

In the second part of the project, idealized model experiments will be performed using two versions of the Community Atmosphere Model with very different representations of Southern Ocean cloud radiative properties. In both model versions, quadrupled carbon dioxide experiments will be run with the radiative properties of the clouds enabled and disabled, in order to explore the role of varying cloud-radiative effects in governing the response of the Southern Hemisphere mid-latitude jet to increased greenhouse gas forcing. By better understanding cloud-radiative-dynamical connections in observations and how they are misrepresented in models, the proposed project not only can improve theoretical knowledge of the role of clouds in the climate system, but also can provide additional constraints on cloud parameterizations that will help to reduce uncertainty in future model projections.
来源学科分类Geosciences - Atmospheric and Geospace Sciences
文献类型项目
条目标识符http://119.78.100.173/C666/handle/2XK7JSWQ/68371
专题环境与发展全球科技态势
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Kevin Grise.Exploring the Linkages among Mid-Latitude Dynamics, Clouds, and Climate Sensitivity.2015.
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