Trends of intense cyclone activity in the Arctic from reanalyses data and regional climate models (Arctic-CORDEX)

被引：3

作者：

Akperov, M. ^{[1
]}

Rinke, A. ^{[2
]}

Mokhov, I. I. ^{[1
,3
]}

Matthes, H. ^{[2
]}

Semenov, V. A. ^{[1
,4
]}

Adakudlu, M. ^{[5
]}

Cassano, J. ^{[6
,7
]}

Christensen, J. H. ^{[5
,8
]}

Dembitskaya, M. A. ^{[1
]}

Dethloff, K. ^{[2
]}

Fettweis, X. ^{[9
]}

Glisan, J. ^{[10
]}

Gutjahr, O. ^{[11
]}

Heinemann, G. ^{[12
]}

Koenigk, T. ^{[13
,14
]}

Koldunov, N. V. ^{[15
,16
]}

Laprise, R. ^{[17
]}

Mottram, R. ^{[18
]}

Nikiema, O. ^{[17
]}

Parfenova, M. ^{[1
]}

Scinocca, J. F. ^{[19
]}

Sein, D. ^{[16
]}

Sobolowski, S. ^{[5
]}

Winger, K. ^{[17
]}

Zhang, W. ^{[20
,21
]}

机构：

[1] RAS, AM Obukhov Inst Atmospher Phys, Moscow, Russia

[2] Alfred Wegener Inst, Helmholtz Ctr Polar & Marine Res, Potsdam, Germany

[3] Lomonosov Moscow State Univ, Moscow, Russia

[4] RAS, Inst Geog, Moscow, Russia

[5] Uni Res Climate, Bjerknes Ctr Climate Res, Bergen, Norway

[6] Univ Colorado, Cooperat Inst Res Environm Sci, Boulder, CO 80309 USA

[7] Univ Colorado, Dept Atmospher & Ocean Sci, Boulder, CO 80309 USA

[8] Univ Copenhagen, Niels Bohr Inst, Copenhagen, Denmark

[9] Univ Liege, Dept Geog, Liege, Belgium

[10] Iowa State Univ, Ames, IA USA

[11] Max Planck Inst Meteorol, Hamburg, Germany

[12] Univ Trier, Fac Reg & Environm Sci, Environm Meteorol, Trier, Germany

[13] Swedish Meteorol & Hydrol Inst, Rossby Ctr, S-60176 Norrkoping, Sweden

[14] Stockholm Univ, Dept Meteorol, Bert Bolin Ctr Climate Res, S-10654 Stockholm, Sweden

[15] MARUM Ctr Marine Environm Sci, Bremen, Germany

[16] Alfred Wegener Inst, Helmholtz Ctr Polar & Marine Res, Bremerhaven, Germany

[17] Univ Quebec Montreal, Ctr ESCER, Montreal, PQ, Canada

[18] Danish Meteorol Inst, Copenhagen, Denmark

[19] Environm & Climate Change Canada, Canadian Ctr Climate Modelling & Anal, Victoria, BC, Canada

[20] Lund Univ, Dept Phys Geog & Ecosyst Sci, S-22362 Lund, Sweden

[21] Univ Copenhagen, Dept Geosci & Nat Resource Management, Ctr Permafrost CENPERM, Copenhagen, Denmark

来源：

TURBULENCE, ATMOSPHERE AND CLIMATE DYNAMICS | 2019年 / 231卷

关键词：

EXTRATROPICAL LATITUDES; NORTH-AMERICA; IDENTIFICATION; ANTICYCLONES; VARIABILITY; SENSITIVITY; PERFORMANCE;

D O I：

10.1088/1755-1315/231/1/012003

中图分类号：

X [环境科学、安全科学];

学科分类号：

08 ; 0830 ;

摘要：

The ability of state-of-the-art regional climate models (RCMs) to simulate the trends of intense cyclone activity in the Arctic is assessed based on an ensemble of 13 simulations from 11 models from the Arctic-CORDEX initiative. Some models employ large-scale spectral nudging techniques. Cyclone characteristics simulated by the ensemble in winter and summer are compared with the results from four reanalyses (ERA-Interim, NCEP-CFSR, NASA-MERRA2 and JMA-JRA55) in winter and summer for 1981-2010 period.

引用

页数：10

共 48 条

[1] Probability distributions for cyclones and anticyclones from the NCEP/NCAR reanalysis data and the INM RAS climate model [J].