scholarly journals Surface water temperature changes in the high latitudes of the southern hemisphere over the Last Glacial-Interglacial Cycle

1992 ◽  
Vol 7 (3) ◽  
pp. 289-318 ◽  
Author(s):  
Jean-Jacques Pichon ◽  
Laurent D. Labeyrie ◽  
Gilles Bareille ◽  
Monique Labracherie ◽  
Josette Duprat ◽  
...  
Keyword(s):  
Surface Water ◽  
Water Temperature ◽  
Southern Hemisphere ◽  
High Latitudes ◽  
Surface Water Temperature ◽  
Temperature Changes ◽  
Last Glacial ◽  
The Last Glacial

scholarly journals Northern Atlantic

Radiocarbon ◽  
1988 ◽  
Vol 30 (3) ◽  
pp. 269-273
Keyword(s):  
Surface Water ◽  
Water Temperature ◽  
Surface Water Temperature ◽  
Temperature Changes ◽  
Northern Atlantic ◽  
Atlantic Core

The study of this northern Atlantic core was undertaken to establish the chronology of surface water temperature changes in the northern Atlantic from 40,000 years ago to present (see Figs 3, 4; Table 4).

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

The Southern Hemisphere westerlies in the Australasian sector over the last glacial cycle: a synthesis

2004 ◽  
Vol 118-119 ◽  
pp. 23-53 ◽  
Author(s):  
J Shulmeister ◽  
I Goodwin ◽  
J Renwick ◽  
K Harle ◽  
L Armand ◽  
...  
Keyword(s):  
Southern Hemisphere ◽  
Glacial Cycle ◽  
Last Glacial ◽  
Southern Hemisphere Westerlies ◽  
The Last Glacial

scholarly journals Absence of Surface Water Temperature Trends in Lake Kinneret despite Present Atmospheric Warming: Comparisons with Dead Sea Trends

2021 ◽  
Vol 13 (17) ◽  
pp. 3461
Author(s):  
Pavel Kishcha ◽  
Boris Starobinets ◽  
Yury Lechinsky ◽  
Pinhas Alpert
Keyword(s):  
Surface Water ◽  
Water Temperature ◽  
Dead Sea ◽  
Lake Kinneret ◽  
Surface Water Temperature ◽  
Water Lake ◽  
Increasing Trend ◽  
Atmospheric Warming ◽  
Fresh Water Lake

This study was carried out using Moderate Resolution Imaging Spectroradiometer (MODIS) 1 km × 1 km resolution records on board Terra and Aqua satellites and in-situ measurements during the period (2003–2019). In spite of the presence of increasing atmospheric warming, in summer when evaporation is maximal, in fresh-water Lake Kinneret, satellite data revealed the absence of surface water temperature (SWT) trends. The absence of SWT trends in the presence of increasing atmospheric warming is an indication of the influence of increasing evaporation on SWT trends. The increasing water cooling, due to the above-mentioned increasing evaporation, compensated for increasing heating of surface water by regional atmospheric warming, resulting in the absence of SWT trends. In contrast to fresh-water Lake Kinneret, in the hypersaline Dead Sea, located ~100 km apart, MODIS records showed an increasing trend of 0.8 °C decade−1 in summer SWT during the same study period. The presence of increasing SWT trends in the presence of increasing atmospheric warming is an indication of the absence of steadily increasing evaporation in the Dead Sea. This is supported by a constant drop in Dead Sea water level at the rate of ~1 m/year from year to year during the last 25-year period (1995–2020). In summer, in contrast to satellite measurements, in-situ measurements of near-surface water temperature in Lake Kinneret showed an increasing trend of 0.7 °C  decade−1.

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