Extracting the Dominant SST Modes Impacting North America's Observed ClimateSource: Journal of Climate:;2013:;volume( 026 ):;issue: 015::page 5434DOI: 10.1175/JCLI-D-12-00583.1Publisher: American Meteorological Society
Abstract: he seasonal impacts of the dominant sea surface temperature (SST) modes to North American climate are assessed comprehensively in observations using the multivariate generalized equilibrium feedback assessment (GEFA) method. The GEFA method is first validated before applying it to observations. Impacts of each individual SST mode are quantified and the associated mechanisms are discussed. Four critical SST modes for North American climate are found: the ENSO mode, Indian Ocean Basin (IOB) mode, North Pacific first empirical orthogonal function (EOF) mode, and tropical Atlantic second EOF mode. The impacts of the ENSO mode are consistent with previous studies qualitatively, while the impact strength is further quantified here. The IOB mode has a strong influence on surface air temperature across North America, and it is demonstrated for the first time that its impact strength might even exceed that of ENSO during both winter and summer. The IOB mode also affects the year-round precipitation. A deeper understanding of the impact of North Pacific SSTs on wintertime surface air temperature is achieved: namely, positive SST anomalies in the Kuroshio Extension region correspond to colder (warmer) air in western (eastern) North America. The tropical Atlantic has a more significant influence on North American precipitation than does the extratropical Atlantic, with colder than normal tropical North Atlantic SSTs supporting wetter conditions across much of the United States, especially during autumn. Because of the linearity of GEFA, the total impacts of multiple SST modes can be obtained by the linear combination of each individual mode's impact. The GEFA method is a potentially powerful tool for seasonal climate prediction.
|
Collections
Show full item record
contributor author | Wang, Fuyao | |
contributor author | Liu, Zhengyu | |
contributor author | Notaro, Michael | |
date accessioned | 2017-06-09T17:07:26Z | |
date available | 2017-06-09T17:07:26Z | |
date copyright | 2013/08/01 | |
date issued | 2013 | |
identifier issn | 0894-8755 | |
identifier other | ams-79738.pdf | |
identifier uri | http://onlinelibrary.yabesh.ir/handle/yetl/4222551 | |
description abstract | he seasonal impacts of the dominant sea surface temperature (SST) modes to North American climate are assessed comprehensively in observations using the multivariate generalized equilibrium feedback assessment (GEFA) method. The GEFA method is first validated before applying it to observations. Impacts of each individual SST mode are quantified and the associated mechanisms are discussed. Four critical SST modes for North American climate are found: the ENSO mode, Indian Ocean Basin (IOB) mode, North Pacific first empirical orthogonal function (EOF) mode, and tropical Atlantic second EOF mode. The impacts of the ENSO mode are consistent with previous studies qualitatively, while the impact strength is further quantified here. The IOB mode has a strong influence on surface air temperature across North America, and it is demonstrated for the first time that its impact strength might even exceed that of ENSO during both winter and summer. The IOB mode also affects the year-round precipitation. A deeper understanding of the impact of North Pacific SSTs on wintertime surface air temperature is achieved: namely, positive SST anomalies in the Kuroshio Extension region correspond to colder (warmer) air in western (eastern) North America. The tropical Atlantic has a more significant influence on North American precipitation than does the extratropical Atlantic, with colder than normal tropical North Atlantic SSTs supporting wetter conditions across much of the United States, especially during autumn. Because of the linearity of GEFA, the total impacts of multiple SST modes can be obtained by the linear combination of each individual mode's impact. The GEFA method is a potentially powerful tool for seasonal climate prediction. | |
publisher | American Meteorological Society | |
title | Extracting the Dominant SST Modes Impacting North America's Observed Climate | |
type | Journal Paper | |
journal volume | 26 | |
journal issue | 15 | |
journal title | Journal of Climate | |
identifier doi | 10.1175/JCLI-D-12-00583.1 | |
journal fristpage | 5434 | |
journal lastpage | 5452 | |
tree | Journal of Climate:;2013:;volume( 026 ):;issue: 015 | |
contenttype | Fulltext |