Long-term global sea surface temperature fluctuations and their possible influence on atmospheric CO2 concentrations

1978 ◽  
Vol 116 (2-3) ◽  
pp. 351-371 ◽  
Author(s):  
Reginald E. Newell ◽  
Alfredo R. Navato ◽  
Jane Hsiung
Keyword(s):  
Surface Temperature ◽  
Sea Surface Temperature ◽  
Temperature Fluctuations ◽  
Sea Surface ◽  
Atmospheric Co2 ◽  
Co2 Concentrations ◽  
Atmospheric Co2 Concentrations ◽  
Global Sea Surface Temperature

Long‐term evolution of global sea surface temperature trend

2021 ◽  
Author(s):  
Zhenhao Xu ◽  
Fei Ji ◽  
Bo Liu ◽  
Taichen Feng ◽  
Yuan Gao ◽  
...  
Keyword(s):  
Surface Temperature ◽  
Sea Surface Temperature ◽  
Long Term Evolution ◽  
Temperature Trend ◽  
Sea Surface ◽  
Term Evolution ◽  
Global Sea Surface Temperature

Dominant Influence of ENSO-Like and Global Sea Surface Temperature Patterns on Changes in Prevailing Boreal Summer Tropical Cyclone Tracks over the Western North Pacific

2020 ◽  
Vol 33 (22) ◽  
pp. 9551-9565
Author(s):  
Haikun Zhao ◽  
Philp J. Klotzbach ◽  
Shaohua Chen
Keyword(s):  
Tropical Cyclone ◽  
Surface Temperature ◽  
Sea Surface Temperature ◽  
Time Scales ◽  
North Pacific ◽  
Western North Pacific ◽  
Sea Surface ◽  
Track Pattern ◽  
Global Sea Surface Temperature

AbstractA conventional empirical orthogonal function (EOF) analysis is performed on summertime (May–October) western North Pacific (WNP) tropical cyclone (TC) track density anomalies during 1970–2012. The first leading EOF mode is characterized by a consistent spatial distribution across the WNP basin, which is closely related to an El Niño–Southern Oscillation (ENSO)-like pattern that prevails on both interannual and interdecadal time scales. The second EOF mode is represented by a tripole pattern with consistent changes in westward and recurving tracks but with an opposite change for west-northwestward TC tracks. This second EOF pattern is dominated by consistent global sea surface temperature anomaly (SSTA) patterns on interannual and interdecadal time scales, along with a long-term increasing global temperature trend. Observed WNP TC tracks have three distinct interdecadal epochs (1970–86, 1987–97, and 1998–2012) based on EOF analyses. The interdecadal change is largely determined by the changing impact of ENSO-like and consistent global SSTA patterns. When global SSTAs are cool (warm) during 1970–86 (1998–2012), these SSTAs exert a dominant impact and generate a tripole track pattern that is similar to the positive (negative) second EOF mode. In contrast, a predominately El Niño–like SSTA pattern during 1987–97 contributed to increasing TC occurrences across most of the WNP during this 11-yr period. These findings are consistent with long-term trends in TC tracks, with a tripole track pattern observed as global SSTs increase. This study reveals the potential large-scale physical mechanisms driving the changes of WNP TC tracks in association with climate change.

scholarly journals What Causes Long-Term North Atlantic Surface Temperature Cycles?

Eos ◽  
2016 ◽  
Vol 97 ◽  
Author(s):  
Sarah Stanley
Keyword(s):  
Surface Temperature ◽  
Sea Surface Temperature ◽  
Ocean Circulation ◽  
North Atlantic ◽  
Temperature Fluctuations ◽  
Sea Surface ◽  
Temperature Cycles ◽  
Circulation Patterns ◽  
New Evidence

New evidence strengthens a likely link between 20- to 40-year sea surface temperature fluctuations and varying ocean circulation patterns.

Testing for Deterministic Trends in Global Sea Surface Temperature

2011 ◽  
Vol 24 (10) ◽  
pp. 2516-2522 ◽  
Author(s):  
Susana M. Barbosa
Keyword(s):  
Surface Temperature ◽  
Sea Surface Temperature ◽  
Linear Model ◽  
Linear Trend ◽  
Statistical Significance ◽  
Sea Surface ◽  
Deterministic Trend ◽  
Parametric Statistical Test ◽  
Global Sea Surface Temperature

Abstract Long-term variability in global sea surface temperature (SST) is often quantified by the slope from a linear regression fit. Attention is then focused on assessing the statistical significance of the derived slope parameter, but the adequacy of the linear model itself, and the inherent assumption of a deterministic linear trend, is seldom tested. Here, a parametric statistical test is applied to test the hypothesis of a linear deterministic trend in global sea surface temperature. The results show that a linear slope is not adequate for describing the long-term variability of sea surface temperature over most of the earth’s surface. This does not mean that sea surface temperature is not increasing, rather that the increase should not be characterized by the slope from a linear fit. Therefore, describing the long-term variability of sea surface temperature by implicitly assuming a deterministic linear trend can give misleading results, particularly in terms of uncertainty, since the actual increase could be considerably larger than the one predicted by a deterministic linear model.

On the relation between atmospheric CO2 and equatorial sea-surface temperature

Tellus B ◽  
1987 ◽  
Vol 39 (1-2) ◽  
pp. 171-183 ◽  
Author(s):  
William P. Elliott ◽  
James K. Angell
Keyword(s):  
Surface Temperature ◽  
Sea Surface Temperature ◽  
Sea Surface ◽  
Atmospheric Co2
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