Late Pleistocene Sea Surface Water Temperature Variations off Oman as Revealed by the Distribution of Long-Chain Alkenones

1991 ◽  
Author(s):  
H.L. ten Haven ◽  
D. Kroon
Keyword(s):  
Surface Water ◽  
Water Temperature ◽  
Late Pleistocene ◽  
Sea Surface ◽  
Surface Water Temperature ◽  
Temperature Variations ◽  
Long Chain

Variability of seawater property after typhoon passage in the Philippine sea of the western North Pacific

2020 ◽  
Author(s):  
Kyung-Hee Oh ◽  
Seok Lee ◽  
Hong Sik Min ◽  
Sok-Kuh Kang
Keyword(s):  
Surface Water ◽  
Water Temperature ◽  
Mixed Layer ◽  
North Pacific ◽  
Western North Pacific ◽  
Sea Water ◽  
Physical Property ◽  
Sea Surface ◽  
Surface Water Temperature ◽  
Before And After

<p>Sea water temperature and salinity measurements have been collected onboard in September in the Philippine seas of the western North Pacific. This area is close to typhoon occurrence area and is the path through which developed typhoons pass, and also large and small eddies are developed. Therefore variability of sea water property is large.  As a result of analysis, the seawater properties of the upper water showed a big difference before and after the typhoon. After the typhoon, surface water temperature dropped by about 1 degree C and salinity by 1 psu.  Mixed layer became deeper, and changes in seawater properties occurred throughout the upper layers. The depth of the mixed layer was largely different by more than 30-50m, especially the water temperature was changed more than 3 degree C at the depth below thermocline. Real-time sea surface water temperature and salinity measurements show more easily identify the physical property change of sea surface water before and after typhoon.</p>

Comparaison du climat marin de Grande-Rivière (baie des Chaleurs) avec celui d'autres stations de la côte atlantique

1965 ◽  
Vol 22 (6) ◽  
pp. 1321-1334 ◽  
Author(s):  
Par L. M. Lauzier ◽  
A. Marcotte
Keyword(s):  
Nova Scotia ◽  
Surface Water ◽  
Water Temperature ◽  
Surface Waters ◽  
East Coast ◽  
Surface Water Temperature ◽  
Temperature Variations ◽  
Marine Climate ◽  
Long Term Variations

Temperature variations of surface waters at Grande-Rivière have been studied in order to describe the marine climate of the region and to show anomalies between 1938 and 1962. Monthly averages of surface temperatures at Grande-Rivière vary between −1.5 and 14.0 C from February to August, respectively, yielding an annual mean of 5.0 C. Temperatures of surface waters are lower than 4.0 C during approximately 6 months of the year. Monthly averages are always higher at Entry Island than at Grande-Rivière and higher at Borden than at Entry Island. Summertime difference in temperature reaches 3.0 C between Entry Island and Grande-Rivière and 5.0 C between Borden and Grande-Rivière. Warm or cold years at Borden and at Entry Island are not necessarily warm or cold at Grande-Rivière.Heat exchanges at the surface and between layers and advection of heat are taken into consideration to explain the local variations of the marine climate at various parts of the Gulf of St. Lawrence. Long-term variations of surface water temperature at Grande-Rivière are compared with those observed at other points along Canada's east coast. Such variations at Grande-Rivière are similar to those of the waters off Nova Scotia. However, they seem to be different from those of other areas of the Magdalen Shallows where warming continues over a longer period than at Grande-Rivière.

scholarly journals Early Late Pliocene biochronology and surface water temperature variations in the Mediterranean

1989 ◽  
Vol 14 (4) ◽  
pp. 339-355 ◽  
Author(s):  
W.J. Zachariasse ◽  
J.D.A. Zijderveld ◽  
C.G. Langereis ◽  
F.J. Hilgen ◽  
P.J.J.M. Verhallen
Keyword(s):  
Surface Water ◽  
Water Temperature ◽  
Surface Water Temperature ◽  
Temperature Variations ◽  
Late Pliocene ◽  
The Mediterranean ◽  
Early Late

scholarly journals Surface Water Temperature Predictions at a Mid-Latitude Reservoir under Long-Term Climate Change Impacts Using a Deep Neural Network Coupled with a Transfer Learning Approach

Water ◽  
2021 ◽  
Vol 13 (8) ◽  
pp. 1109
Author(s):  
Nobuaki Kimura ◽  
Kei Ishida ◽  
Daichi Baba
Keyword(s):  
Climate Change ◽  
Surface Water ◽  
Water Temperature ◽  
Transfer Learning ◽  
Air Temperature ◽  
Climate Models ◽  
Temporal Variations ◽  
Training Data ◽  
Surface Water Temperature

Long-term climate change may strongly affect the aquatic environment in mid-latitude water resources. In particular, it can be demonstrated that temporal variations in surface water temperature in a reservoir have strong responses to air temperature. We adopted deep neural networks (DNNs) to understand the long-term relationships between air temperature and surface water temperature, because DNNs can easily deal with nonlinear data, including uncertainties, that are obtained in complicated climate and aquatic systems. In general, DNNs cannot appropriately predict unexperienced data (i.e., out-of-range training data), such as future water temperature. To improve this limitation, our idea is to introduce a transfer learning (TL) approach. The observed data were used to train a DNN-based model. Continuous data (i.e., air temperature) ranging over 150 years to pre-training to climate change, which were obtained from climate models and include a downscaling model, were used to predict past and future surface water temperatures in the reservoir. The results showed that the DNN-based model with the TL approach was able to approximately predict based on the difference between past and future air temperatures. The model suggested that the occurrences in the highest water temperature increased, and the occurrences in the lowest water temperature decreased in the future predictions.

Impact of climate warming on the surface water temperature of plateau lake

2021 ◽  
Author(s):  
Zongqi Peng ◽  
Jiaying Yang ◽  
Yi Luo ◽  
Kun Yang ◽  
Chunxue Shang
Keyword(s):  
Surface Water ◽  
Water Temperature ◽  
Climate Warming ◽  
Surface Water Temperature ◽  
Plateau Lake
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