globalchange  > 科学计划与规划
DOI: 10.1002/2015GL067530
论文题名:
New insight of Arctic cloud parameterization from regional climate model simulations, satellite-based, and drifting station data
作者: Klaus D.; Dethloff K.; Dorn W.; Rinke A.; Wu D.L.
刊名: Geophysical Research Letters
ISSN: 0094-9686
EISSN: 1944-9417
出版年: 2016
卷: 43, 期:10
起始页码: 5450
结束页码: 5459
语种: 英语
英文关键词: Arctic clouds ; Cloud-radiation interactions ; Regional climate model ; Satellite observations ; Subgrid-scale parameterization
Scopus关键词: Ice control ; Precipitation (meteorology) ; Satellites ; Sea ice ; Arctic clouds ; Cloud-radiation interactions ; Regional climate modeling ; Satellite observations ; Subgrid scale ; Climate models
英文摘要: Cloud observations from the CloudSat and CALIPSO satellites helped to explain the reduced total cloud cover (Ctot) in the atmospheric regional climate model HIRHAM5 with modified cloud physics. Arctic climate conditions are found to be better reproduced with (1) a more efficient Bergeron-Findeisen process and (2) a more generalized subgrid-scale variability of total water content. As a result, the annual cycle of Ctot is improved over sea ice, associated with an almost 14% smaller area average than in the control simulation. The modified cloud scheme reduces the Ctot bias with respect to the satellite observations. Except for autumn, the cloud reduction over sea ice improves low-level temperature profiles compared to drifting station data. The HIRHAM5 sensitivity study highlights the need for improving accuracy of low-level (<700 m) cloud observations, as these clouds exert a strong impact on the near-surface climate. ©2016. American Geophysical Union. All Rights Reserved.
URL: https://www.scopus.com/inward/record.uri?eid=2-s2.0-84978870264&doi=10.1002%2f2015GL067530&partnerID=40&md5=7484cea0cc31823f783b6ec043a25535
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资源类型: 期刊论文
标识符: http://119.78.100.158/handle/2HF3EXSE/10649
Appears in Collections:科学计划与规划
气候变化与战略

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作者单位: Alfred Wegener Institute Helmholtz Centre for Polar and Marine Research, Potsdam, Germany

Recommended Citation:
Klaus D.,Dethloff K.,Dorn W.,et al. New insight of Arctic cloud parameterization from regional climate model simulations, satellite-based, and drifting station data[J]. Geophysical Research Letters,2016-01-01,43(10).
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