- Dokumenttyp:
- Zeitschriftenaufsatz
- Autor(en):
- Drainas, Konstantina ; Kaule, Lisa ; Mohr, Stefanie ; Uniyal, Bhumika ; Wild, Romy ; Geist, Juergen
- Titel:
- Predicting stream water temperature with artificial neural networks based on open-access data
- Stichworte:
- RESEARCH ARTICLE ; RESEARCH ARTICLES ; artificial neural networks ; climate change ; machine learning ; open-access data ; prediction ; stream habitat quality ; thermal stress ; water temperature modelling
- Zeitschriftentitel:
- Hydrological Processes
- Jahr:
- 2023
- Band / Volume:
- 37
- Heft / Issue:
- 10
- Volltext / DOI:
- doi:10.1002/hyp.14991
- Verlag / Institution:
- John Wiley & Sons, Inc.
- E-ISSN:
- 0885-6087 ; 1099-1085
- Publikationsdatum:
- 17.10.2023
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