Trends and multi-annual variability of water temperatures in the river Danube, Serbia
The relationship between air (Ta) and water temperature (Tw) is very important because it shows how the temperature of a water body might respond to future changes in surface Ta. Mean monthly Tw records of three gauging stations (Bezdan, Bogojevo i Veliko Gradište) were analysed alongside mean month...
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ftloughboroughun:oai:figshare.com:article/9483227 2023-05-15T17:34:59+02:00 Trends and multi-annual variability of water temperatures in the river Danube, Serbia Biljana Basarin Tin Lukic Dragoslav Pavic Robert Wilby 2016-01-01T00:00:00Z https://figshare.com/articles/journal_contribution/Trends_and_multi-annual_variability_of_water_temperatures_in_the_river_Danube_Serbia/9483227 unknown 2134/23299 https://figshare.com/articles/journal_contribution/Trends_and_multi-annual_variability_of_water_temperatures_in_the_river_Danube_Serbia/9483227 CC BY-NC-ND 4.0 CC-BY-NC-ND Earth Sciences not elsewhere classified Danube Water temperature Air temperature Trends Variability Serbia Text Journal contribution 2016 ftloughboroughun 2022-01-01T20:07:48Z The relationship between air (Ta) and water temperature (Tw) is very important because it shows how the temperature of a water body might respond to future changes in surface Ta. Mean monthly Tw records of three gauging stations (Bezdan, Bogojevo i Veliko Gradište) were analysed alongside mean monthly discharge (Q) for the same stations. Additionally, Ta series from two meteorological stations (Sombor and Veliko Gradište) were correlated with Tw variations over the period 1950–2012. Locally weighted scatter point smoothing (LOWESS) was used to investigate long-term trends in the raw data, alongside the Mann–Kendall (MK) trend test. Trend significance was established using Yue–Pilon's pre-whitening approaches to determine trends in climate data. Also, the rescaled adjusted partial sums (RAPS) method was used to detect dates of possible changes in the time series. Statistically significant warming trends were observed for annual and seasonal minimum and maximum Tw at all investigated sites. The strongest warming was observed at Bogojevo gauging station for seasonal maximum Tw, with +0.05 °C per year on average. RAPS established that the trend began in the 1980s. This behaviour is linked to climate patterns in the North and East Atlantic which determine the amount of heat advected onto mainland Europe. Statistically significant correlations were found for all Tw on an annual basis. Overall, the strongest correlations (p < 0.01) between Tw residuals and the North Atlantic Oscillation (NAO) were recorded for the winter period. These findings suggest possible predictability of Tw over seasonal time-scales. Other Non-Article Part of Journal/Newspaper North Atlantic North Atlantic oscillation Loughborough University: Figshare Kendall ENVELOPE(-59.828,-59.828,-63.497,-63.497) |
institution |
Open Polar |
collection |
Loughborough University: Figshare |
op_collection_id |
ftloughboroughun |
language |
unknown |
topic |
Earth Sciences not elsewhere classified Danube Water temperature Air temperature Trends Variability Serbia |
spellingShingle |
Earth Sciences not elsewhere classified Danube Water temperature Air temperature Trends Variability Serbia Biljana Basarin Tin Lukic Dragoslav Pavic Robert Wilby Trends and multi-annual variability of water temperatures in the river Danube, Serbia |
topic_facet |
Earth Sciences not elsewhere classified Danube Water temperature Air temperature Trends Variability Serbia |
description |
The relationship between air (Ta) and water temperature (Tw) is very important because it shows how the temperature of a water body might respond to future changes in surface Ta. Mean monthly Tw records of three gauging stations (Bezdan, Bogojevo i Veliko Gradište) were analysed alongside mean monthly discharge (Q) for the same stations. Additionally, Ta series from two meteorological stations (Sombor and Veliko Gradište) were correlated with Tw variations over the period 1950–2012. Locally weighted scatter point smoothing (LOWESS) was used to investigate long-term trends in the raw data, alongside the Mann–Kendall (MK) trend test. Trend significance was established using Yue–Pilon's pre-whitening approaches to determine trends in climate data. Also, the rescaled adjusted partial sums (RAPS) method was used to detect dates of possible changes in the time series. Statistically significant warming trends were observed for annual and seasonal minimum and maximum Tw at all investigated sites. The strongest warming was observed at Bogojevo gauging station for seasonal maximum Tw, with +0.05 °C per year on average. RAPS established that the trend began in the 1980s. This behaviour is linked to climate patterns in the North and East Atlantic which determine the amount of heat advected onto mainland Europe. Statistically significant correlations were found for all Tw on an annual basis. Overall, the strongest correlations (p < 0.01) between Tw residuals and the North Atlantic Oscillation (NAO) were recorded for the winter period. These findings suggest possible predictability of Tw over seasonal time-scales. |
format |
Other Non-Article Part of Journal/Newspaper |
author |
Biljana Basarin Tin Lukic Dragoslav Pavic Robert Wilby |
author_facet |
Biljana Basarin Tin Lukic Dragoslav Pavic Robert Wilby |
author_sort |
Biljana Basarin |
title |
Trends and multi-annual variability of water temperatures in the river Danube, Serbia |
title_short |
Trends and multi-annual variability of water temperatures in the river Danube, Serbia |
title_full |
Trends and multi-annual variability of water temperatures in the river Danube, Serbia |
title_fullStr |
Trends and multi-annual variability of water temperatures in the river Danube, Serbia |
title_full_unstemmed |
Trends and multi-annual variability of water temperatures in the river Danube, Serbia |
title_sort |
trends and multi-annual variability of water temperatures in the river danube, serbia |
publishDate |
2016 |
url |
https://figshare.com/articles/journal_contribution/Trends_and_multi-annual_variability_of_water_temperatures_in_the_river_Danube_Serbia/9483227 |
long_lat |
ENVELOPE(-59.828,-59.828,-63.497,-63.497) |
geographic |
Kendall |
geographic_facet |
Kendall |
genre |
North Atlantic North Atlantic oscillation |
genre_facet |
North Atlantic North Atlantic oscillation |
op_relation |
2134/23299 https://figshare.com/articles/journal_contribution/Trends_and_multi-annual_variability_of_water_temperatures_in_the_river_Danube_Serbia/9483227 |
op_rights |
CC BY-NC-ND 4.0 |
op_rightsnorm |
CC-BY-NC-ND |
_version_ |
1766134000486711296 |