Use of circulation types classifications to evaluate AR4 climate models over the Euro-Atlantic region

作者: M. A. Pastor , M. J. Casado

DOI: 10.1007/S00382-012-1449-2

关键词:

摘要: This paper presents an evaluation of the multi-model simulations for 4th Assessment Report Intergovernmental Panel on Climate Change (IPCC) in terms their ability to simulate ERA40 circulation types over Euro-Atlantic region winter season. Two classification schemes, k-means and SANDRA, have been considered test sensitivity results procedure. The assessment allows establishing different rankings attending spatial temporal features types. Regarding characteristics, general, all AR4 models tend underestimate frequency occurrence. best model simulating characteristics is UKMO-HadGEM1 whereas CCSM3, CGCM3.1(T63) are features, both schemes. result agrees with ranking obtained when having analysed same variability modes. study has proved utility applying such a synoptic climatology approach as diagnostic tool models’ assessment. properly reproduce position ridges troughs patterns, will therefore improve our confidence response future climate changes.

参考文章(57)
P. Yiou, M. Nogaj, Extreme climatic events and weather regimes over the North Atlantic: When and where? Geophysical Research Letters. ,vol. 31, pp. n/a- n/a ,(2004) , 10.1029/2003GL019119
C. Gordon, C. Cooper, C. A. Senior, H. Banks, J. M. Gregory, T. C. Johns, J. F. B. Mitchell, R. A. Wood, The simulation of SST, sea ice extents and ocean heat transports in a version of the Hadley Centre coupled model without flux adjustments Climate Dynamics. ,vol. 16, pp. 147- 168 ,(2000) , 10.1007/S003820050010
Amanda Lynch, Petteri Uotila, John J. Cassano, Changes in synoptic weather patterns in the polar regions in the twentieth and twenty-first centuries, part 2: Antarctic International Journal of Climatology. ,vol. 26, pp. 1181- 1199 ,(2006) , 10.1002/JOC.1305
T. Furevik, M. Bentsen, H. Drange, I. K. T. Kindem, N. G. Kvamst�, A. Sorteberg, Description and evaluation of the bergen climate model: ARPEGE coupled with MICOM Climate Dynamics. ,vol. 21, pp. 27- 51 ,(2003) , 10.1007/S00382-003-0317-5
Tim C Johns, Chris F Durman, Helene T Banks, Malcom J Roberts, Alison J McLaren, Jeff K Ridley, Catherine A Senior, KD Williams, A Jones, GJ Rickard, S Cusack, WJ Ingram, Michel Crucifix, DMH Sexton, MM Joshi, B-W Dong, Hilary Spencer, RSR Hill, JM Gregory, AB Keen, AK Pardaens, JA Lowe, A Bodas-Salcedo, S Stark, Y Searl, None, The new hadley centre climate model (HadGEM1) : Evaluation of coupled simulations Journal of Climate. ,vol. 19, pp. 1327- 1353 ,(2006) , 10.1175/JCLI3712.1
Seiji Yukimoto, Akira Noda, Akio Kitoh, Masato Sugi, Yoshiteru Kitamura, Masahiro Hosaka, Kiyotaka Shibata, Shuhei Maeda, Takao Uchiyama, 新気象研究所結合モデル (MRI-CGCM2) Papers in Meteorology and Geophysics. ,vol. 51, pp. 47- 88 ,(2001) , 10.2467/MRIPAPERS.51.47
E Kjellström, F Boberg, M Castro, JH Christensen, G Nikulin, E Sánchez, Daily and monthly temperature and precipitation statistics as performance indicators for regional climate models. Climate Research. ,vol. 44, pp. 135- 150 ,(2010) , 10.3354/CR00932
Gary L. Russell, James R. Miller, David Rind, A coupled atmosphere‐ocean model for transient climate change studies Atmosphere-ocean. ,vol. 33, pp. 683- 730 ,(1995) , 10.1080/07055900.1995.9649550
V. D. Pope, M. L. Gallani, P. R. Rowntree, R. A. Stratton, The impact of new physical parametrizations in the Hadley Centre Climate Model—HADAM3 Climate Dynamics. ,vol. 16, pp. 123- 146 ,(2000) , 10.1007/S003820050009
J. A. Hartigan, M. A. Wong, A K-Means Clustering Algorithm Journal of The Royal Statistical Society Series C-applied Statistics. ,vol. 28, pp. 100- 108 ,(1979) , 10.2307/2346830