globalchange  > 气候减缓与适应
DOI: 10.3103/S106837391902002X
WOS记录号: WOS:000465328000002
论文题名:
Lapse Rate Peculiarities in the Arctic from Reanalysis Data and Model Simulations
作者: Akperov, M. G.1; Mokhov, I. I.1,2; Dembitskaya, M. A.1; Parfenova, M. R.1; Rinke, A.3
通讯作者: Akperov, M. G.
刊名: RUSSIAN METEOROLOGY AND HYDROLOGY
ISSN: 1068-3739
EISSN: 1934-8096
出版年: 2019
卷: 44, 期:2, 页码:97-102
语种: 英语
英文关键词: Lapse rate ; troposphere ; surface air temperature ; Arctic latitudes ; Arctic amplification ; Arctic Oscillation
WOS学科分类: Meteorology & Atmospheric Sciences
WOS研究方向: Meteorology & Atmospheric Sciences
英文摘要:

Monthly mean data of the ERA-Interim reanalysis (1979-2014) are used to estimate the lapse rate in the Northern Hemisphere high-latitude troposphere. The relationship between the lapse rate and surface air temperature T-s is analyzed in terms of interannual variability for different seasons. The study analyzes the ability of the HIRHAM5 regional climate model to simulate the features of lapse rate distribution in the Arctic troposphere and the parameter of its sensitivity to the variation in surface air temperature d/dT(s) that were derived from reanalysis data. The regional features of the link between the vertical stratification of tropospheric temperature and the Arctic Oscillation are revealed. The estimates obtained from reanalysis data and model simulations are especially significant as the Arctic climate has higher variability and sensitivity under global changes that is characterized by so called Arctic amplification.


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资源类型: 期刊论文
标识符: http://119.78.100.158/handle/2HF3EXSE/128298
Appears in Collections:气候减缓与适应

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作者单位: 1.Russian Acad Sci, Obukhov Inst Atmospher Phys, Pyzhevskii Per 3, Moscow 119017, Russia
2.Lomonosov Moscow State Univ, GSP 1,Leninskie Gory, Moscow 119991, Russia
3.Helmholtz Ctr Polar & Marine Res, Alfred Wegener Inst, Telegrafenberg A45, D-14473 Potsdam, Germany

Recommended Citation:
Akperov, M. G.,Mokhov, I. I.,Dembitskaya, M. A.,et al. Lapse Rate Peculiarities in the Arctic from Reanalysis Data and Model Simulations[J]. RUSSIAN METEOROLOGY AND HYDROLOGY,2019-01-01,44(2):97-102
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