Long-term daily water temperatures unveil escalating water warming and intensifying heatwaves in the Odra river Basin, Central Europe

Geoscience Frontiers, Journal Year: 2024, Volume and Issue: 15(6), P. 101916 - 101916

Published: Aug. 23, 2024

Language: Английский

---

What can we learn from 100,000 freshwater forecasts? A synthesis from the NEON Ecological Forecasting Challenge

Ecological Applications, Journal Year: 2025, Volume and Issue: 35(1)

Published: Jan. 1, 2025

Abstract 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 increasing availability of high‐frequency data. Forecasters implemented many different modeling approaches forecast freshwater variables, which demonstrated promise at individual sites. However, a comprehensive analysis 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 analyzed from aquatics theme National Ecological Observatory Network (NEON) 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. A similar proportion skillful both variables (34%–40%), although outperformed forecasting (10 out 29) (6 15). These top performing came classes structures. For temperature, found that skill degraded increases horizons, process‐based models, included air as covariate generally exhibited highest performance, most often accounted lower The where observations divergent historical conditions (resulting poor model performance). Overall, NEON provides an exciting opportunity intercomparison learn about strengths diverse suite advance our understanding ecosystem predictability.

Language: Английский

---

What can we learn from 100,000 freshwater forecasts? A synthesis from the NEON Ecological Forecasting Challenge

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

---

Process-based forecasts of lake water temperature and dissolved oxygen outperform null models, with variability over time and depth

Ecological Informatics, Journal Year: 2024, Volume and Issue: 83, P. 102825 - 102825

Published: Sept. 11, 2024

Language: Английский

---

Diel temperature patterns unveiled: High-frequency monitoring and deep learning in Lake Kasumigaura

Ecological Indicators, Journal Year: 2024, Volume and Issue: 169, P. 112958 - 112958

Published: Dec. 1, 2024

Language: Английский

---

Combining a Multi‐Lake Model Ensemble and a Multi‐Domain CORDEX Climate Data Ensemble for Assessing Climate Change Impacts on Lake Sevan

Water Resources Research, Journal Year: 2024, Volume and Issue: 60(11)

Published: Nov. 1, 2024

Abstract Global warming is shifting the thermal dynamics of lakes, with resulting climatic variability heavily affecting their mixing dynamics. We present a dual ensemble workflow coupling climate models lake models. used large set simulations across multiple domains, multi‐scenario, and multi GCM‐ RCM combinations from CORDEX data. forced hydrodynamic by these to explore change impacts on lakes. also quantified contributions different overall uncertainty. employed this investigate effects Lake Sevan (Armenia). predicted for end 21st century, under RCP 8.5, sharp increase in surface temperature substantial bottom , longer stratification periods (+55 days) disappearance ice cover leading shift regime. Increased insufficient cooling during warmer winters points vulnerability change. Our leverages strengths at several levels model chain provide more robust projection same time better uncertainty estimate that accounts Although specific variables, example, summer temperature, single may perform better, full provides has high transferability so our can be blueprint impact studies other systems.

Language: Английский

---

Process-Based Forecasts of Lake Water Temperature and Dissolved Oxygen Outperform Null Models, with Variability Over Time and Depth

Published: Jan. 1, 2024

Near-term iterative ecological forecasting has great potential for providing new insights into our ability to predict multiple variables. However, variability in forecast performance across time and space largely been unexamined ecosystem variables using a process-based modeling approach. To explore how varies water temperature dissolved oxygen, two freshwater important lake functioning, we produced probabilistic forecasts at depths over open-water seasons Lake Sunapee, NH, USA. Our system, FLARE (Forecasting And Reservoir Ecosystems), uses 1-D coupled hydrodynamic-biogeochemical process model daily data assimilation update initial conditions of oxygen fit parameters time. We assessed both accuracy, via the Continuous Ranked Probability Score, skill, by comparing FLARE's accuracy relative null models, which act as baseline forecasts. Specifically, calculated skill climatology persistence models quantify much information provide these varying environmental conditions. found that were always more skillful than outperformed up 11 days future, compared only oxygen. Across different years, observed variable with generally decreasing depth Overall, all surface but not deep least one >80% forecasted period, indicating was able reproduce dynamics greater reliability models. from deeper waters less during majority suggests deep-water are dominated autocorrelation seasonal change, inherently captured results highlight among quality metrics can conditions, informing development quantitative tools predicting change.

Language: Английский

---

Forecasting Methods in Science Education: A Bibliometric Analysis Using the Scopus Database

KnE Social Sciences, Journal Year: 2024, Volume and Issue: unknown

Published: July 3, 2024

This study utilizes a detailed bibliometric analysis to thoroughly explore the literature surrounding forecasting methods and models in science education. It highlights significant trends, applications, impacts of these methodologies. Leveraging data from Scopus database pinpoints essential themes notable gaps within current body work. The research underscores importance integrating techniques across various scientific disciplines applying address real-world challenges comprehensive is intended contribute richly academic dialogue guide development future educational strategies policies. By identifying discussing key elements, aims enhance understanding implementing settings, ultimately influencing both practice theory Keywords: methods, education,

Language: Английский

---

Near-Term Lake Water Temperature Forecasts Can Be Used to Anticipate the Ecological Dynamics of Freshwater Species

Published: Jan. 1, 2024

Language: Английский

---