Using the lagged maximum covariance analysis (MCA), the present study investigates the
interannual variability of the storm track in the Southern Hemisphere and the Antarctic sea …

In this study, a lagged maximum covariance analysis (MCA) of the wintertime storm-track
and sea surface temperature (SST) anomalies derived from the reanalysis datasets shows …

We used monthly mean surface wind data from the National Centers for Environmental
Prediction/National Centers for Atmospheric Research (NCEP/NCAR) reanalysis dataset …

In this study, an index for the variability of mesoscale sea surface temperature (SST)
anomalies over the Kuroshio and Oyashio confluence region (KOCR) is proposed based on …

In our previous study, a statistical linkage between the spring Arctic sea ice concentration
(SIC) and the succeeding Chinese summer rainfall during the period 1968–2005 was …

Associations between autumn Arctic sea ice concentration (SIC) and early winter
precipitation in China are studied using singular value decomposition analysis. The results …

This study explores the linkage between summertime temperature fluctuations over
midlatitude Eurasia and the preceding Arctic sea ice concentration (SIC) by utilizing the …

Observational analysis and purposely designed coupled atmosphere–ocean (AOGCM) and
atmosphere-only (AGCM) model simulations are used together to investigate a new …

A lagged maximum covariance analysis is applied to investigate linear covariability between
monthly sea ice concentration (SIC) and atmosphere circulation in the Northern …

A statistical relationship between spring Arctic sea ice concentration (SIC) and Chinese
summer rainfall is identified using singular value decomposition (SVD). Results show that …