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contributor authorYu, B.
contributor authorWang, X. L.
contributor authorZhang, X. B.
contributor authorCole, J.
contributor authorFeng, Y.
date accessioned2017-06-09T17:08:38Z
date available2017-06-09T17:08:38Z
date copyright2014/01/01
date issued2013
identifier issn0894-8755
identifier otherams-80069.pdf
identifier urihttp://onlinelibrary.yabesh.ir/handle/yetl/4222920
description abstracthe decadal covariability of northern wintertime land surface temperature and 500-hPa geopotential anomalies is examined using the National Centers for Environmental Prediction?National Center for Atmospheric Research and the Twentieth-Century Reanalyses over the twentieth century and a 996-yr preindustrial climate simulation from the Canadian Earth System Model. Based on the reanalysis data, the covariability is dominated by two leading maximum covariance analysis (MCA) modes. MCA1 is characterized by temperature anomalies over most of Canada, the eastern United States, Mexico, and Eurasian mid- to high latitudes, accompanied by anomalies of opposite sign elsewhere over northern landmasses. MCA2 features temperature anomalies over most of North America, Eurasia, and Greenland with opposite anomalies elsewhere. In the upper troposphere the synoptic vorticity fluxes reinforce the anomalous circulation, while in the lower troposphere advection by the anomalous mean flow offsets the eddy forcing and maintains the decadal temperature perturbation. The MCA1-associated variability has a broad spectrum over decadal?interdecadal time scales, while the MCA2-related variability has a significant power peak around 20 yr. The change of temperature and geopotential trends around 1990 tends to be a decadal-scale shift in winter and has significant features of the leading mode of the decadal covariability. The climate model has broadly similar decadal covariability, including the leading MCA patterns as well as the temporal evolution of the patterns. The decadal temperature and geopotential anomalies primarily covary with the North Atlantic Oscillation but also with the variability of the North Pacific index, while the Southern Oscillation index variability tends to be the least important predictor for the northern decadal temperature and geopotential anomalies.
publisherAmerican Meteorological Society
titleDecadal Covariability of the Northern Wintertime Land Surface Temperature and Atmospheric Circulation
typeJournal Paper
journal volume27
journal issue2
journal titleJournal of Climate
identifier doi10.1175/JCLI-D-13-00266.1
journal fristpage633
journal lastpage651
treeJournal of Climate:;2013:;volume( 027 ):;issue: 002
contenttypeFulltext


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