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Journal ArticleDOI

Simulation of recent northern winter climate trends by greenhouse-gas forcing

TLDR
The authors used several different climate-model versions to demonstrate that the observed sea-level-pressure trends, including their magnitude, can be simulated by realistic increases in greenhouse-gas concentrations, while changes in ozone concentrations are not necessary to simulate the observed climate trends.
Citations
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Contribution of Working Group II to the Fourth Assessment Report of the Intergovernmental Panel on Climate Change

TL;DR: Drafting Authors: Neil Adger, Pramod Aggarwal, Shardul Agrawala, Joseph Alcamo, Abdelkader Allali, Oleg Anisimov, Nigel Arnell, Michel Boko, Osvaldo Canziani, Timothy Carter, Gino Casassa, Ulisses Confalonieri, Rex Victor Cruz, Edmundo de Alba Alcaraz, William Easterling, Christopher Field, Andreas Fischlin, Blair Fitzharris.
Journal ArticleDOI

Annular Modes in the Extratropical Circulation. Part I: Month-to-Month Variability*

TL;DR: In this article, the authors compared the structure and seasonality of the Southern Hemisphere (SH) annular mode and the Northern Hemisphere (NH) mode, referred to as the Arctic Oscillation (AO), based on data from the National Centers for Environmental Prediction and National Center for Atmospheric Research reanalysis and supplementary datasets.
Book ChapterDOI

An overview of the North Atlantic Oscillation

TL;DR: The North Atlantic Oscillation (NAO) is one of the most prominent and recurrent patterns of atmospheric circulation variability as discussed by the authors, and it dictates climate variability from the eastern seaboard of the United States to Siberia and from the Arctic to the subtropical Atlantic, especially during boreal winter.
Journal ArticleDOI

Interpretation of recent Southern Hemisphere climate change

TL;DR: In this article, it is argued that the largest and most significant tropospheric trends can be traced to recent trends in the lower stratospheric polar vortex, which are due largely to photochemical ozone losses, and the trend toward stronger circumpolar flow has contributed substantially to the observed warming over the Antarctic Peninsula and Patagonia and to the cooling over eastern Antarctica and the Antarctic plateau.
Journal ArticleDOI

Warming of the World Ocean

TL;DR: In this article, the authors quantify the interannual-to-decadal variability of the heat content (mean temperature) of the world ocean from the surface through 3000-meter depth for the period 1948 to 1998, showing that the global volume mean temperature increase for the 0- to 300-meter layer was 0.31°C, corresponding to an increase in heat content for this layer of ∼10 23 joules between the mid-1950s and mid-1990s.
References
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Journal ArticleDOI

The Arctic oscillation signature in the wintertime geopotential height and temperature fields

TL;DR: The Arctic Oscillation (AO) as mentioned in this paper is the signature of modulations in the strength of the polar vortex aloft, and it resembles the NAO in many respects; but its primary center of action covers more of the Arctic, giving it a more zonally symmetric appearance.
Journal ArticleDOI

Teleconnections in the Geopotential Height Field during the Northern Hemisphere Winter

TL;DR: In this paper, a review of existing literature on the subject reveals the existence of at least four such patterns: the North Atlantic and North Pacific Oscillations identified by Walker and Bliss (1932), a zonally symmetric seesaw between sea level pressures in polar and temperature latitudes, first noted by Lorenz (1951), and what we will refer to as the Pacific/North American pattern, which has been known to operational long-range forecasters in this country since the 1950's.
Journal ArticleDOI

Sampling Errors in the Estimation of Empirical Orthogonal Functions

TL;DR: In this paper, the authors reviewed the necessary weighting factors for gridded data and the sampling errors incurred when too small a sample is available, and a rule of thumb indicating when an EOF is likely to be subject to large sampling fluctuations is presented.
Journal ArticleDOI

An Intercomparison of Methods for Finding Coupled Patterns in Climate Data

TL;DR: In this paper, the authors introduce a conceptual framework for comparing methods that isolate important coupled modes of variability between time series of two fields, including principal component analysis with the fields combined (CPCA), canonical correlation analysis (CCA), and singular value decomposition of the covariance matrix between the two fields (SVD).
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