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

机译:欧洲第四大湖区地表水温和长期趋势的参数化近期冬季迅速变暖

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Changes in the ice phenology, seasonal temperature and extreme events are consistent evidence of climate change effect on lakes. In this study, we analyzed multiannual variability, determined long-term trends and detected changes in the frequency of extreme events in the surface water temperature (LSWT) of Lake Peipsi (Estonia/Russia) for nearly seven decades (1950-2018) and aimed to trace how the LSWT responded to the climate change. Dynamic water temperature parameters were calculated using the smoothed water temperature curve fitted to daily water temperatures. Our results showed that, although the average LSWT did not increase significantly on an annual basis since 1950 it rose rapidly in the winter season during the last decade (similar to +0.5 degrees C). Ice formation exhibited a marked (similar to 15 days) delay since 2007 resulting in a longer open water period. Extreme LSWT events did not occur more frequently. We noticed however significant fluctuating in winter LSWT in time series, starting from 2007 and also causing an increase in stochasticity. The consequences of the on-going winter warming and changes of ice cover phenology are expected to be crucial for Lake Peipsi ecosystem functioning and impact on lake biota, especially temperature-sensitive native fishes.
机译:冰候中的变化,季节性温度和极端事件是对湖泊气候变化影响的一致证据。在这项研究中,我们分析了多年来的可变性,确定了近七十年(1950-2018)和针对Peipsi(爱沙尼亚/俄罗斯)的地表水温(LSWT)中极端事件频率的变化。追踪LSWT如何应对气候变化。使用适合日常水温的平滑水温曲线计算动态水温参数。我们的研究结果表明,虽然平均LSWT自1950年以来的一年年度速度没有显着增加,但在过去十年中冬季迅速上升(类似于+0.5℃)。自2007年以来,冰形成显示出标记(类似于15天)延迟,导致开放式水位更长。极端LSWT事件并没有更频繁地发生。我们注意到冬季LSWT在时间序列中显着波动,从2007年开始,也导致随机增加。预计冰覆盖的正在进行的冬季变暖和变化的后果对于Peipsi生态系统运作和对Biota湖的影响,特别是温度敏感的本土鱼类来说至关重要。

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