IDEAS home Printed from https://ideas.repec.org/a/gam/jforec/v7y2025i2p24-d1667432.html
   My bibliography  Save this article

Three Environments, One Problem: Forecasting Water Temperature in Central Europe in Response to Climate Change

Author

Listed:
  • Mariusz Ptak

    (Department of Hydrology and Water Management, Adam Mickiewicz University, Krygowskiego 10, 61-680 Poznań, Poland)

  • Mariusz Sojka

    (Department of Land Improvement, Environmental Development and Spatial Management, Poznań University of Life Sciences, Piątkowska 94E, 60-649 Poznań, Poland)

  • Katarzyna Szyga-Pluta

    (Department of Meteorology and Climatology, Adam Mickiewicz University, Krygowskiego 10, 61-680 Poznań, Poland)

  • Teerachai Amnuaylojaroen

    (School of Energy and Environment, University of Phayao, Phayao 56000, Thailand
    Atmospheric Pollution and Climate Research Unit, School of Energy and Environment, University of Phayao, Phayao 56000, Thailand)

Abstract

Water temperature is a fundamental parameter influencing a range of biotic and abiotic processes occurring within various components of the hydrosphere. This study presents a multi-step, data-driven predictive modeling framework to estimate water temperatures for the period 2021–2100 in three aquatic environments in Central Europe: the Odra River, the Szczecin Lagoon, and the Baltic Sea. The framework integrates Bayesian Model Averaging (BMA), Random Sample Consensus (RANSAC) regression, Gradient Boosting Regressor (GBR), and Random Forest (RF) machine learning models. To assess the performance of the models, the coefficient of determination (R2), mean absolute error ( MAE ), and root mean square error ( RMSE ) were used. The results showed that the application of statistical downscaling methods improved the prediction of air temperatures with respect to the BMA. Moreover, the RF method was used to predict water temperature. The best model performance was obtained for the Baltic Sea and the lowest for the Odra River. Under the SSP2-4.5 and SSP5-8.5 scenario-based simulations, projected air temperature increases in the period 2021–2100 could range from 1.5 °C to 1.7 °C and 4.7 to 5.1 °C. In contrast, the increase in water temperatures by 2100 will be between 1.2 °C and 1.6 °C (SSP2-4.5 scenario) and between 3.5 °C and 4.9 °C (SSP5-8.5).

Suggested Citation

  • Mariusz Ptak & Mariusz Sojka & Katarzyna Szyga-Pluta & Teerachai Amnuaylojaroen, 2025. "Three Environments, One Problem: Forecasting Water Temperature in Central Europe in Response to Climate Change," Forecasting, MDPI, vol. 7(2), pages 1-22, May.
  • Handle: RePEc:gam:jforec:v:7:y:2025:i:2:p:24-:d:1667432
    as

    Download full text from publisher

    File URL: https://www.mdpi.com/2571-9394/7/2/24/pdf
    Download Restriction: no

    File URL: https://www.mdpi.com/2571-9394/7/2/24/
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Christoph Schär & Pier Luigi Vidale & Daniel Lüthi & Christoph Frei & Christian Häberli & Mark A. Liniger & Christof Appenzeller, 2004. "The role of increasing temperature variability in European summer heatwaves," Nature, Nature, vol. 427(6972), pages 332-336, January.
    2. Teerachai Amnuaylojaroen, 2023. "Advancements in Downscaling Global Climate Model Temperature Data in Southeast Asia: A Machine Learning Approach," Forecasting, MDPI, vol. 6(1), pages 1-17, December.
    3. Mariusz Ptak & Teerachai Amnuaylojaroen & Mariusz Sojka, 2024. "Historical and Future Changes in Water Temperature in the Pilica River (Central Europe) in Response to Global Warming," Sustainability, MDPI, vol. 16(23), pages 1-19, November.
    Full references (including those not matched with items on IDEAS)

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Inga Dailidienė & Inesa Servaitė & Remigijus Dailidė & Erika Vasiliauskienė & Lolita Rapolienė & Ramūnas Povilanskas & Donatas Valiukas, 2023. "Increasing Trends of Heat Waves and Tropical Nights in Coastal Regions (The Case Study of Lithuania Seaside Cities)," Sustainability, MDPI, vol. 15(19), pages 1-21, September.
    2. T. Hlásny & J. Holuša & P. Štěpánek & M. Turčáni & N. Polčák, 2011. "Expected impacts of climate change on forests: Czech Republic as a case study," Journal of Forest Science, Czech Academy of Agricultural Sciences, vol. 57(10), pages 422-431.
    3. Wu, X.D. & Ji, Xi & Li, Chaohui & Xia, X.H. & Chen, G.Q., 2019. "Water footprint of thermal power in China: Implications from the high amount of industrial water use by plant infrastructure of coal-fired generation system," Energy Policy, Elsevier, vol. 132(C), pages 452-461.
    4. Chen, Ping-Yu & Chen, Chi-Chung & Chang, Chia-Lin, 2011. "Multiple Threshold Effects for Temperature and Mortality," MPRA Paper 35521, University Library of Munich, Germany.
    5. Fischer, Björn & Goldberg, Valeri & Bernhofer, Christian, 2008. "Effect of a coupled soil water–plant gas exchange on forest energy fluxes: Simulations with the coupled vegetation–boundary layer model HIRVAC," Ecological Modelling, Elsevier, vol. 214(2), pages 75-82.
    6. Michael Donadelli & Marcus Jüppner & Antonio Paradiso & Christian Schlag, 2021. "Computing Macro-Effects and Welfare Costs of Temperature Volatility: A Structural Approach," Computational Economics, Springer;Society for Computational Economics, vol. 58(2), pages 347-394, August.
    7. Fuhrer, Jurg & Beniston, Martin & Calanca, Pierluigi & Torriani, Daniele Simone, 2007. "Alternative Hedging Strategies in Maize Production to Cope with Climate Variability and Change," 101st Seminar, July 5-6, 2007, Berlin Germany 9275, European Association of Agricultural Economists.
    8. Gabriele Lobaccaro & Juan Angel Acero & Gerardo Sanchez Martinez & Ales Padro & Txomin Laburu & German Fernandez, 2019. "Effects of Orientations, Aspect Ratios, Pavement Materials and Vegetation Elements on Thermal Stress inside Typical Urban Canyons," IJERPH, MDPI, vol. 16(19), pages 1-29, September.
    9. Stacey E. Alexeeff & Doug Nychka & Stephan R. Sain & Claudia Tebaldi, 2018. "Emulating mean patterns and variability of temperature across and within scenarios in anthropogenic climate change experiments," Climatic Change, Springer, vol. 146(3), pages 319-333, February.
    10. Berlemann, Michael & Eurich, Marina, 2021. "Natural hazard risk and life satisfaction – Empirical evidence for hurricanes," Ecological Economics, Elsevier, vol. 190(C).
    11. G. Serquet & M. Rebetez, 2011. "Relationship between tourism demand in the Swiss Alps and hot summer air temperatures associated with climate change," Climatic Change, Springer, vol. 108(1), pages 291-300, September.
    12. Shoupeng Zhu & Fei Ge & Yi Fan & Ling Zhang & Frank Sielmann & Klaus Fraedrich & Xiefei Zhi, 2020. "Conspicuous temperature extremes over Southeast Asia: seasonal variations under 1.5 °C and 2 °C global warming," Climatic Change, Springer, vol. 160(3), pages 343-360, June.
    13. Chen, Zongkui & Xia, Jun & Ma, Hui & Wang, Yuanyuan & Gao, Hongyun & Kong, Xianhui & Luo, Honghai, 2018. "Presowing fertigation effects on soil moisture absorption and consumption of cotton in arid regions," Agricultural Water Management, Elsevier, vol. 210(C), pages 130-139.
    14. Krista Rizzo & Mark Camilleri & Damien Gatt & Charles Yousif, 2024. "Optimising Mechanical Ventilation for Indoor Air Quality and Thermal Comfort in a Mediterranean School Building," Sustainability, MDPI, vol. 16(2), pages 1-26, January.
    15. Arthur Charpentier, 2011. "Erratum to: On the return period of the 2003 heat wave," Climatic Change, Springer, vol. 109(3), pages 261-261, December.
    16. Wu, Wenjie & Zhe, Yang & Kim, Jun Hyung & Yue, Ai, 2023. "Effects of Early Childhood Climate on Cognitive Development and Home Environment," IZA Discussion Papers 16017, Institute of Labor Economics (IZA).
    17. Zoleka Ncoyini-Manciya & Michael J. Savage, 2022. "The Assessment of Future Air Temperature and Rainfall Changes Based on the Statistical Downscaling Model (SDSM): The Case of the Wartburg Community in KZN Midlands, South Africa," Sustainability, MDPI, vol. 14(17), pages 1-19, August.
    18. Aatishya Mohanty & Nattavudh Powdthavee & Cheng Keat Tang & Andrew J. Oswald, 2024. "Temperature Variability and Natural Disasters," Papers 2409.14936, arXiv.org.
    19. Nandan, Rohit & Woo, Dong K. & Kumar, Praveen & Adinarayana, J., 2021. "Impact of irrigation scheduling methods on corn yield under climate change," Agricultural Water Management, Elsevier, vol. 255(C).
    20. Pearce, Joshua M. & Johnson, Sara J. & Grant, Gabriel B., 2007. "3D-mapping optimization of embodied energy of transportation," Resources, Conservation & Recycling, Elsevier, vol. 51(2), pages 435-453.

    More about this item

    Keywords

    ;
    ;
    ;
    ;

    Statistics

    Access and download statistics

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:gam:jforec:v:7:y:2025:i:2:p:24-:d:1667432. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: MDPI Indexing Manager (email available below). General contact details of provider: https://www.mdpi.com .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.