Modeling river water temperature with limiting forcing data: Air2stream v1.0.0, machine learning and multiple regression
The prediction of river water temperature is of key importance in the field of environmental science. Water temperature datasets for low-order rivers are often in short supply, leaving environmental modelers with the challenge of extracting as much information as possible from existing datasets. The...
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| Vydané v: | Geoscientific Model Development Ročník 16; číslo 14; s. 4083 - 4112 |
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| Hlavní autori: | , |
| Médium: | Journal Article |
| Jazyk: | English |
| Vydavateľské údaje: |
Katlenburg-Lindau
Copernicus GmbH
20.07.2023
Copernicus Publications |
| Predmet: | |
| ISSN: | 1991-9603, 1991-959X, 1991-962X, 1991-9603, 1991-962X |
| On-line prístup: | Získať plný text |
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