Less and thinner ice: seven decades of change in the ice cover of temperate lakes (Central Europe, Poland) DOI
Yuting Zhu, Mariusz Ptak, Wentao Dong

et al.

Acta Geophysica, Journal Year: 2025, Volume and Issue: unknown

Published: April 24, 2025

Language: Английский

An optimized NARX-based model for predicting thermal dynamics and heatwaves in rivers DOI
Senlin Zhu, Fabio Di Nunno, Jiang Sun

et al.

The Science of The Total Environment, Journal Year: 2024, Volume and Issue: 926, P. 171954 - 171954

Published: March 26, 2024

Language: Английский

Citations

13
Exploring spatiotemporal features of surface water temperature for Lake Balaton in the 21st century based on Google Earth Engine DOI
Huan Li, Boglárka Somogyi, Viktor R. Tóth

et al.

Journal of Hydrology, Journal Year: 2024, Volume and Issue: 640, P. 131672 - 131672

Published: July 16, 2024

Language: Английский

Citations

7
Expanding the European water Framework Directive indicators to address long-term climate change impacts on lakes using mechanistic lake models DOI Creative Commons
Laura Melo Vieira Soares,

M. Thouillot,

Victor Frossard

et al.

Ecological Indicators, Journal Year: 2025, Volume and Issue: 172, P. 113220 - 113220

Published: Feb. 20, 2025

Language: Английский

Citations

1
Interconnections, trend analysis and forecasting of water-air temperature with water level dynamics in Blue Moon Lake Valley: A statistical and machine learning approach DOI

Shoukat Ali Shah,

Songtao Ai, Wolfgang Rack

et al.

Journal of Environmental Management, Journal Year: 2025, Volume and Issue: 379, P. 124829 - 124829

Published: March 8, 2025

Language: Английский

Citations

1
Tracking global large lake surface temperature variation from space using MODIS land surface temperature product DOI Creative Commons
Boyu Zhao, Zhongqiu Sun, Min Wang

et al.

Ecological Informatics, Journal Year: 2025, Volume and Issue: unknown, P. 103184 - 103184

Published: May 1, 2025

Language: Английский

Citations

1
150-year daily data (1870–2021) in lakes and rivers reveals intensifying surface water warming and heatwaves in the Pannonian Ecoregion (Hungary) DOI Creative Commons
Huan Li, Jiang Sun, Quan Zhou

et al.

Journal of Hydrology Regional Studies, Journal Year: 2024, Volume and Issue: 56, P. 101985 - 101985

Published: Oct. 2, 2024

Language: Английский

Citations

6
Ice phenology interactions with water and air temperatures in high mountain lakes DOI Creative Commons
Ibor Sabás, Alexandre Miró, Jaume Piera

et al.

The Science of The Total Environment, Journal Year: 2024, Volume and Issue: 941, P. 173571 - 173571

Published: June 1, 2024

Ice phenology is of great importance for the thermal structure lakes and ponds biology lake species. Under current climate change conditions, ice-cover duration has been reduced by an advance in ice-off, a delay ice-on, future projections foresee this trend as continuing. Here, we describe ice Pyrenean high mountain ponds, including ice-on ice-off dates. We use mixed models to identify variables that explain observed patterns, extrapolate them across all water bodies range, relate seasonality air temperatures with using structural equation models. was obtained from temperature series 85 fourteen years, 2001 2004 2009 2019. discovered autumn precipitation related earlier found dates were associated higher following-summer temperatures. greater predictability than Altitude most important variable explaining variation phenology, followed latitude, which climatic differences among northern southern slopes range. The area significant duration. interannual variability radiation remarkable date but not date. In contrast, wind speed shorter All measured froze winter during studied period, feature maintained extrapolation whole set bodies.

Language: Английский

Citations

4
Impact of climate change on the Vrana Lake surface water temperature in Croatia using support vector regression DOI Creative Commons
Željka Brkić, Ozren Larva

Journal of Hydrology Regional Studies, Journal Year: 2024, Volume and Issue: 54, P. 101858 - 101858

Published: June 13, 2024

Language: Английский

Citations

4
Slow response of surface water temperature to fast atmospheric variability reveals mixing heterogeneity in a deep lake DOI Creative Commons
Marina Amadori, Mariano Bresciani, Claudia Giardino

et al.

Scientific Reports, Journal Year: 2024, Volume and Issue: 14(1)

Published: April 11, 2024

Abstract Slow and long-term variations of sea surface temperature anomalies have been interpreted as a red-noise response the ocean mixed layer to fast random atmospheric perturbations. How noise is damped depends on depth. In this work we apply theory determine relevant spatial temporal scales thermal inertia in lakes. We fit first order auto-regressive model satellite-derived Lake Surface Water Temperature (LSWT) Garda, Italy. The provides time scale, from which obtained result shows clear pattern resembling morphological features lake, with larger values (7.18± 0.3 m) deeper northwestern basin, smaller (3.18 ± 0.24 southern shallower basin. Such are confirmed by in-situ measurements three monitoring points lake connect Empirical Orthogonal Function LSWT chlorophyll-a concentration. Evidence our case study open new perspective for interpreting lake-atmosphere interactions confirm that remotely sensed variables, typically associated properties layers, also carry information mixed-layer processes.

Language: Английский

Citations

3
What can we learn from 100,000 freshwater forecasts? A synthesis from the NEON Ecological Forecasting Challenge DOI Open Access
Freya Olsson, Cayelan C. Carey, Carl Boettiger

et al.

Authorea (Authorea), Journal Year: 2024, Volume and Issue: unknown

Published: May 1, 2024

Near-term, iterative ecological forecasts can be used to help understand and proactively manage ecosystems.To date, more have been developed for aquatic ecosystems than other worldwide, likely motivated by the pressing need conserve these essential threatened ecosystems.Forecasters implemented many different modelling approaches forecast freshwater variables, which demonstrated promise at individual sites.However, a comprehensive analysis of performance varying models across multiple sites is needed broader controls on performance.Forecasting challenges (i.e., community-scale efforts generate while also developing shared software, training materials, best practices) present useful platform bridging this gap evaluate how range methods perform axes space, time, systems.Here, we analysed from aquatics theme National Ecological Observatory Network (NEON) Forecasting Challenge hosted Initiative.Over 100,000 probabilistic water temperature dissolved oxygen concentration 1-30 days ahead seven NEON-monitored lakes were submitted in 2023.We assessed varied among with structures, covariates, sources uncertainty relative baseline null models.More outperformed forecasting (ten models) (six).These top-performing came classes structures.For temperature, found that process-based included air as covariate generally exhibited highest all sites, most skillful often accounted lower-performing models.The observed where observations divergent historical

Language: Английский

Citations

3