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Sea surface temperatures of the past
Science, 2017Paleoclimate Understanding how warm intervals affected sea level in the past is vital for projecting how human activities will affect it in the future. Hoffman et al. compiled estimates of sea surface temperatures during the last interglacial period, which lasted from about 129,000 to 116,000 ...
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Sea Surface Temperature Variability: Patterns and Mechanisms
Annual Review of Marine Science, 2010Patterns of sea surface temperature (SST) variability on interannual and longer timescales result from a combination of atmospheric and oceanic processes. These SST anomaly patterns may be due to intrinsic modes of atmospheric circulation variability that imprint themselves upon the SST field mainly via surface energy fluxes.
Clara, Deser +3 more
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ESA’s Climate Change Initiative (CCI) has released the third major version of the SST CCI Climate Data Record (CDR) which now spans over 40 years, using data from Advanced Very High Resolution Radiometer (AVHRR), Along Track Scanning Radiometer (ATSR), Sea and Land Surface Temperature Radiometer (SLSTR) instruments, Advanced Microwave Scanning ...
Embury, Owen +6 more
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Embury, Owen +6 more
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Multichannel Sea Surface Temperature Retrievals
1981The importance of accurate determinations of sea surface temperature (SST) from satellites with global coverage, has long been recognized for the study of a variety of processes related to the interaction between oceans, the air-sea boundary and climate systems.
D. Imbault, A. Chedin, N. A. Scott
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Effects of Sea Surface Temperature
2011SST affects surface rainfall and associated cloud microphysical processes mainly through the change in surface evaporation flux (e.g., Lau et al. 1993, 1994; Wu and Moncrieff 1999; Cui and Li 2006). Lau et al. (1993) studied rainfall responses to SST in the presence of same large-scale forcing in the deep convective regime and found 22% increase of ...
Xiaofan Li, Shouting Gao
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The Pacific sea surface temperature
Physics Letters A, 2011Abstract The Pacific sea surface temperature data contains two components: N L , a signal that exhibits the familiar El Nino/La Nina phenomenon and N H , a signal of one-year period. Analysis reveals: (1) The existence of an annual solar forcing F S ; (2) N H is phase locked directly to F S while N L
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Sea surface effect on sea surface temperature detection by remote sensing
Proceedings of IGARSS '93 - IEEE International Geoscience and Remote Sensing Symposium, 2002By using a sea surface temperature profiler buoy, the behavior of the vertical temperature profile was observed in Mutsu Bay, Japan. In the daytime under clear and calm conditions in summer, there occurred a large temperature difference between the skin surface and 1 m depth of at most 5/spl deg/C.
R. Yokoyama +3 more
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Sea surface temperature algorithm with transmittance and sea surface emissivity dependence
SPIE Proceedings, 2009The current sea surface temperature (SST) algorithms were derived empirically using a large amount of in-situ observation data. The algorithms derived had no guarantee to be used for the different regions and time. Large amount of in-situ data was required for the algorithm regression analysis.
H. G. Ng +3 more
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Implications of hurricane : sea surface temperature relationship
2015This paper presents a study to assess the impact of possible future climate change on the joint hurricane wind and rain hazard along the northeast US coastline. A postulated climate change model (IPCC scenario) was considered, which suggested changes in sea surface temperature (SST) (i.e., the driving parameter in most modern hurricane models ...
Mudd, Lauren +2 more
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Acta Oceanologica Sinica, 2019
The trends of the sea surface temperature (SST) and SST fronts in the South China Sea (SCS) are analyzed during 2003–2017 using high-resolution satellite data. The linear trend of the basin averaged SST is 0.31°C per decade, with the strongest warming identified in southeastern Vietnam.
Yi Yu +3 more
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The trends of the sea surface temperature (SST) and SST fronts in the South China Sea (SCS) are analyzed during 2003–2017 using high-resolution satellite data. The linear trend of the basin averaged SST is 0.31°C per decade, with the strongest warming identified in southeastern Vietnam.
Yi Yu +3 more
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