Parameterization of surface water temperature and long-term trends in Europe’s fourth largest lake shows recent and rapid warming in winter

Limnologica ◽  
2020 ◽  
Vol 82 ◽  
pp. 125777 ◽  
Author(s):  
Burak Öğlü ◽  
Tõnu Möls ◽  
Tanel Kaart ◽  
Fabien Cremona ◽  
Külli Kangur
Water ◽  
2021 ◽  
Vol 13 (8) ◽  
pp. 1109
Author(s):  
Nobuaki Kimura ◽  
Kei Ishida ◽  
Daichi Baba

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.


Biology ◽  
2020 ◽  
Vol 9 (1) ◽  
pp. 19 ◽  
Author(s):  
Tatiana A. Rynearson ◽  
Sarah A. Flickinger ◽  
Diana N. Fontaine

Diatoms generate nearly half of marine primary production and are comprised of a diverse array of species that are often morphologically cryptic or difficult to identify using light microscopy. Here, species composition and realized thermal niches of species in the diatom genus Thalassiosira were examined at the site of the Narragansett Bay (NBay) Long-Term Plankton Time Series using a combination of light microscopy (LM), high-throughput sequencing (HTS) of the 18S rDNA V4 region and historical records. Thalassiosira species were identified over 6 years using a combination of LM and DNA sequences. Sixteen Thalassiosira taxa were identified using HTS: nine were newly identified in NBay. Several newly identified species have small cell diameters and are difficult to identify using LM. However, they appeared frequently and thus may play a significant ecological role in NBay, particularly since their realized niches suggest they are eurythermal and able to tolerate the >25 °C temperature range of NBay. Four distinct species assemblages that grouped by season were best explained by surface water temperature. When compared to historical records, we found that the cold-water species Thalassiosira nordenskioeldii has decreased in persistence over time, suggesting that increasing surface water temperature has influenced the ecology of phytoplankton in NBay.


1983 ◽  
Vol 40 (10) ◽  
pp. 1838-1845 ◽  
Author(s):  
B. J. Shuter ◽  
D. A. Schlesinger ◽  
A. P. Zimmerman

Annual surface water temperature cycles of temperate zone lakes can be adequately described by a symmetrical sine wave of distinct amplitude and duration. The relationships between these sine wave components and climatic and morphometric variables were analyzed for 87 lakes spread over most of North America, and for 25 lakes located in south-central Ontario, Canada. Multiple regression equations are reported which permit estimation of the maximum annual surface water temperature (amplitude: AP) and the number of ice-free days (duration: DR) for a specific lake from data on long-term mean annual air temperature (TEMP), mean depth [Formula: see text], and fetch (FT). These estimates can be used to calculate mean surface water temperature for just the ice-free period or for an entire year.


1965 ◽  
Vol 22 (6) ◽  
pp. 1321-1334 ◽  
Author(s):  
Par L. M. Lauzier ◽  
A. Marcotte

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.


2019 ◽  
Vol 16 (1) ◽  
pp. 115-130
Author(s):  
Małgorzata Świątek

Abstract The variability of surface water temperature and water salinity at the south coast of the Baltic in the years 1950–2015 was studied in the article. To that aim, monthly surface water temperature values in Świnoujście, Międzyzdroje, Kołobrzeg (from 1957), Władysławowo, Hel and Gdynia were used, as well as monthly water salinity values in Międzyzdroje, Władysławowo, Hel and Gdynia, all obtained from IMGW-PIB (Institute of Meteorology and Water Management – National Research Institute). Linear regression and Pearson’s simple correlation coefficient of individual monthly, seasonal and annual series of temperature and salinity values over time (in subsequent years) were used to analyse the temporal changes of the examined parameters. In the analysed period a rise in the annual water temperature was recorded in Międzyzdroje, Władysławowo, Hel and Gdynia, while the extent of the changes increased towards the east. There were also positive trends in temperature values in individual months. At the same time, there was a decrease in water salinity, which was also found to be most distinct in the eastern part of the coast. In Władysławowo, Hel and Gdynia, statistically significant drops occurred in nearly all months. During the months featuring statistically insignificant trends, the observed change trends were also negative. Concurrent water temperature increases and water salinity decreases consequently caused a decline in sea water surface density at the Polish Baltic coast.


2021 ◽  
Author(s):  
Zongqi Peng ◽  
Jiaying Yang ◽  
Yi Luo ◽  
Kun Yang ◽  
Chunxue Shang

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