Winter precipitation variability and corresponding teleconnections over the northeastern United States
Abstract The variability of winter precipitation over the northeastern United States and the corresponding teleconnections with five dominant large-scale modes of climate variability (Atlantic Multidecadal Oscillation, AMO; North Atlantic Oscillation, NAO; Pacific-North American pattern, PNA; Pacifi...
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ftciteseerx:oai:CiteSeerX.psu:10.1.1.699.2973 2023-05-15T17:35:00+02:00 Winter precipitation variability and corresponding teleconnections over the northeastern United States Liang Ning Raymond S. Bradley The Pennsylvania State University CiteSeerX Archives application/pdf http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.699.2973 en eng http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.699.2973 Metadata may be used without restrictions as long as the oai identifier remains attached to it. https://www.geo.umass.edu/climate/papers2/Ning_JGR2014.pdf text ftciteseerx 2016-01-08T18:47:34Z Abstract The variability of winter precipitation over the northeastern United States and the corresponding teleconnections with five dominant large-scale modes of climate variability (Atlantic Multidecadal Oscillation, AMO; North Atlantic Oscillation, NAO; Pacific-North American pattern, PNA; Pacific Decadal Oscillation, PDO; and El Niño–Southern Oscillation, ENSO) were systemically analyzed in this study. Three leading patterns of winter precipitation were first generated by empirical orthogonal function (EOF) analysis. The correlation analysis shows that the first pattern is significantly correlated with PNA and PDO, the second pattern is significantly correlatedwith NAO and AMO, and the third pattern is significantly correlatedwith ENSO, PNA, and PDO. To verify the physical sense of the EOF patterns and their correlations, composite analysis was applied to the precipitation anomalies, which reproduced the three EOF spatial patterns. Multiple linear regression models generated using indices of all five modes of climate variability show higher explained variances. Composite analyses of geopotential height, sea level pressure, relative humidity, and moisture flux field were performed to find the physical mechanisms behind the teleconnections. When the findings are applied to the extreme drought of the 1960s, it is found that besides a continuous negative NAO pattern, a negative PNA pattern and La Niña conditions also contributed to the drought of winter season by influencing moisture flux and the position of storm tracks. Another case, the 2009/2010 winter with positive precipitation anomalies over the coastal region, is found to be resulted from circulation patterns dominated by major El Niño condition with high-PNA and PDO indices. 1. Text North Atlantic North Atlantic oscillation Unknown Pacific |
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description |
Abstract The variability of winter precipitation over the northeastern United States and the corresponding teleconnections with five dominant large-scale modes of climate variability (Atlantic Multidecadal Oscillation, AMO; North Atlantic Oscillation, NAO; Pacific-North American pattern, PNA; Pacific Decadal Oscillation, PDO; and El Niño–Southern Oscillation, ENSO) were systemically analyzed in this study. Three leading patterns of winter precipitation were first generated by empirical orthogonal function (EOF) analysis. The correlation analysis shows that the first pattern is significantly correlated with PNA and PDO, the second pattern is significantly correlatedwith NAO and AMO, and the third pattern is significantly correlatedwith ENSO, PNA, and PDO. To verify the physical sense of the EOF patterns and their correlations, composite analysis was applied to the precipitation anomalies, which reproduced the three EOF spatial patterns. Multiple linear regression models generated using indices of all five modes of climate variability show higher explained variances. Composite analyses of geopotential height, sea level pressure, relative humidity, and moisture flux field were performed to find the physical mechanisms behind the teleconnections. When the findings are applied to the extreme drought of the 1960s, it is found that besides a continuous negative NAO pattern, a negative PNA pattern and La Niña conditions also contributed to the drought of winter season by influencing moisture flux and the position of storm tracks. Another case, the 2009/2010 winter with positive precipitation anomalies over the coastal region, is found to be resulted from circulation patterns dominated by major El Niño condition with high-PNA and PDO indices. 1. |
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The Pennsylvania State University CiteSeerX Archives |
format |
Text |
author |
Liang Ning Raymond S. Bradley |
spellingShingle |
Liang Ning Raymond S. Bradley Winter precipitation variability and corresponding teleconnections over the northeastern United States |
author_facet |
Liang Ning Raymond S. Bradley |
author_sort |
Liang Ning |
title |
Winter precipitation variability and corresponding teleconnections over the northeastern United States |
title_short |
Winter precipitation variability and corresponding teleconnections over the northeastern United States |
title_full |
Winter precipitation variability and corresponding teleconnections over the northeastern United States |
title_fullStr |
Winter precipitation variability and corresponding teleconnections over the northeastern United States |
title_full_unstemmed |
Winter precipitation variability and corresponding teleconnections over the northeastern United States |
title_sort |
winter precipitation variability and corresponding teleconnections over the northeastern united states |
url |
http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.699.2973 |
geographic |
Pacific |
geographic_facet |
Pacific |
genre |
North Atlantic North Atlantic oscillation |
genre_facet |
North Atlantic North Atlantic oscillation |
op_source |
https://www.geo.umass.edu/climate/papers2/Ning_JGR2014.pdf |
op_relation |
http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.699.2973 |
op_rights |
Metadata may be used without restrictions as long as the oai identifier remains attached to it. |
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1766134004303527936 |