Effect of the Leeuwin Current upon sea surface temperatures off south-western Australia

1984 ◽  
Vol 35 (4) ◽  
pp. 487 ◽  
Author(s):  
DJ Rochford
Keyword(s):  
Western Australia ◽  
Coastal Waters ◽  
Sea Surface ◽  
Sea Surface Temperatures ◽  
Leeuwin Current ◽  
South Eastern ◽  
Surface Temperatures ◽  
Autumn And Winter

Comparison of long-term mean monthly sea surface temperatures of coastal waters at comparable latitudes off south-eastern and south-westem Australia shows that, during the duration of the Leeuwin Current in autumn and winter, sea surface temperatures are 1-3�C higher off south-western Australia.

Long-term comparison of satellite and in-situ sea surface temperatures around the Korean Peninsula

2015 ◽  
Vol 50 (1) ◽  
pp. 109-117 ◽  
Author(s):  
Myeong-Taek Kwak ◽  
Gwang-Ho Seo ◽  
Yang-Ki Cho ◽  
Bong-Guk Kim ◽  
Sung Hyup You ◽  
...  
Keyword(s):  
Korean Peninsula ◽  
Sea Surface ◽  
Sea Surface Temperatures ◽  
Surface Temperatures

scholarly journals Joint Variability of Global Runoff and Global Sea Surface Temperatures

2008 ◽  
Vol 9 (4) ◽  
pp. 816-824 ◽  
Author(s):  
Gregory J. McCabe ◽  
David M. Wolock
Keyword(s):  
Time Series ◽  
North Atlantic ◽  
Annual Runoff ◽  
Sea Surface ◽  
Total Variance ◽  
Sea Surface Temperatures ◽  
Modes Of Variability ◽  
Surface Temperatures ◽  
Long Term Trends

Abstract Global land surface runoff and sea surface temperatures (SST) are analyzed to identify the primary modes of variability of these hydroclimatic data for the period 1905–2002. A monthly water-balance model first is used with global monthly temperature and precipitation data to compute time series of annual gridded runoff for the analysis period. The annual runoff time series data are combined with gridded annual sea surface temperature data, and the combined dataset is subjected to a principal components analysis (PCA) to identify the primary modes of variability. The first three components from the PCA explain 29% of the total variability in the combined runoff/SST dataset. The first component explains 15% of the total variance and primarily represents long-term trends in the data. The long-term trends in SSTs are evident as warming in all of the oceans. The associated long-term trends in runoff suggest increasing flows for parts of North America, South America, Eurasia, and Australia; decreasing runoff is most notable in western Africa. The second principal component explains 9% of the total variance and reflects variability of the El Niño–Southern Oscillation (ENSO) and its associated influence on global annual runoff patterns. The third component explains 5% of the total variance and indicates a response of global annual runoff to variability in North Atlantic SSTs. The association between runoff and North Atlantic SSTs may explain an apparent steplike change in runoff that occurred around 1970 for a number of continental regions.

scholarly journals Long-term variability in Arctic sea surface temperatures

Polar Science ◽  
2013 ◽  
Vol 7 (3-4) ◽  
pp. 233-240 ◽  
Author(s):  
Rajkumar Kamaljit Singh ◽  
Megha Maheshwari ◽  
Sandip R. Oza ◽  
Raj Kumar
Keyword(s):  
Sea Surface ◽  
Sea Surface Temperatures ◽  
Surface Temperatures ◽  
Arctic Sea

Impact of Changes in Climate and Halocarbons on Recent Lower Stratosphere Ozone and Temperature Trends

2010 ◽  
Vol 23 (10) ◽  
pp. 2599-2611 ◽  
Author(s):  
Jean-François Lamarque ◽  
Susan Solomon
Keyword(s):  
Lower Stratosphere ◽  
Sea Surface ◽  
Sea Surface Temperatures ◽  
Tropopause Height ◽  
Tropical Zone ◽  
Temperature Trends ◽  
Surface Temperatures ◽  
Primary Focus ◽  
Carbon Dioxide Co2

Abstract The primary focus of this paper is the analysis of the roles of long-term increases in carbon dioxide (CO2) and sea surface temperatures (used as indicators of climate change) and man-made halocarbons (indicators of chemical ozone depletion linked to halogens) in explaining the observed trend of ozone in the tropical lower stratosphere and implications for related variables including temperature and tropopause height. Published estimates indicate a decrease of approximately 10% in observed ozone concentrations in this region between 1979 and 2005. Using a coupled chemistry–climate atmosphere model forced by observed sea surface temperatures and surface concentrations of long-lived greenhouse gases and halocarbons, the authors show that the simulations display substantial decreases in tropical ozone that compare well in both latitudinal and vertical structure with those observed. Based on sensitivity simulations, the analysis indicates that the decreases in the lower stratospheric (85–50 hPa) tropical ozone distribution are mostly associated with increases in CO2 and sea surface temperatures, in contrast to those at higher latitudes, which are largely driven by halocarbon increases. Factors influencing temperature trends and tropopause heights in this region are also probed. It is shown that the modeled temperature trends in the lower tropical stratosphere are also associated with increases in CO2 and sea surface temperatures. Following the analysis of lower stratospheric tropical temperature trends, the secondary focus of this paper is on related changes in tropopause height. Much of the simulated tropopause rise in the tropical zone as measured by tropopause height is found to be linked to increases in sea surface temperatures and CO2, while increases in halocarbons dominate the tropopause height changes in the subtropics near 30°; both drivers thus affect different regions of the simulated changes in the position of the tropopause. Finally, it is shown that halocarbon increases dominate the changes in the width of the region where modeled total ozone displays tropical character (as indicated by low values of the column abundance). Hence the findings suggest that climate changes and halocarbon changes make different contributions to different metrics used to characterize tropical change.

scholarly journals Improving Estimates of Long-Term Climate Sensitivity

Eos ◽  
2019 ◽  
Vol 100 ◽  
Author(s):  
Terri Cook
Keyword(s):  
Climate Sensitivity ◽  
Sea Surface ◽  
Sea Surface Temperatures ◽  
Surface Temperatures ◽  
Earth’S Climate

New modeling casts doubt on the suitability of running experiments with fixed sea surface temperatures to understand the effects of cloud aggregation on Earth’s climate.

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