Is Everything Lost? Recreating the Surface Water Temperature of Unmonitored Lakes in Poland DOI Creative Commons
Mariusz Ptak, Mariusz Sojka, Katarzyna Szyga–Pluta

et al.

Resources, Journal Year: 2025, Volume and Issue: 14(4), P. 67 - 67

Published: April 18, 2025

One of the fundamental features lakes is water temperature, which determines functioning lake ecosystems. However, overall range information related to monitoring this parameter quite limited, both in terms number and duration measurements. This study addresses gap by reconstructing surface temperature (LSWT) six Poland from 1994 2023, where direct measurements were discontinued. The reconstruction based on Air2Water model, establishes a statistical relationship between LSWT air temperature. Model validation using historical observations demonstrated high predictive accuracy, with Nash–Sutcliffe Efficiency exceeding 0.92 root mean squared error ranging 0.97 °C 2.13 across lakes. A trend analysis Mann–Kendall test Sen’s slope estimator indicated statistically significant warming all lakes, an average increase 0.35 per decade. Monthly trends most pronounced June, September, November, 0.50 decade some cases. direction, pace, scale these changes are crucial for managing individual ecological economic perspective.

Language: Английский

Is Everything Lost? Recreating the Surface Water Temperature of Unmonitored Lakes in Poland DOI Creative Commons
Mariusz Ptak, Mariusz Sojka, Katarzyna Szyga–Pluta

et al.

Resources, Journal Year: 2025, Volume and Issue: 14(4), P. 67 - 67

Published: April 18, 2025

One of the fundamental features lakes is water temperature, which determines functioning lake ecosystems. However, overall range information related to monitoring this parameter quite limited, both in terms number and duration measurements. This study addresses gap by reconstructing surface temperature (LSWT) six Poland from 1994 2023, where direct measurements were discontinued. The reconstruction based on Air2Water model, establishes a statistical relationship between LSWT air temperature. Model validation using historical observations demonstrated high predictive accuracy, with Nash–Sutcliffe Efficiency exceeding 0.92 root mean squared error ranging 0.97 °C 2.13 across lakes. A trend analysis Mann–Kendall test Sen’s slope estimator indicated statistically significant warming all lakes, an average increase 0.35 per decade. Monthly trends most pronounced June, September, November, 0.50 decade some cases. direction, pace, scale these changes are crucial for managing individual ecological economic perspective.

Language: Английский

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