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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| Published in: | Geoscientific Model Development Vol. 16; no. 14; pp. 4083 - 4112 |
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| Main Authors: | , |
| Format: | Journal Article |
| Language: | English |
| Published: |
Katlenburg-Lindau
Copernicus GmbH
20.07.2023
Copernicus Publications |
| Subjects: | |
| ISSN: | 1991-9603, 1991-959X, 1991-962X, 1991-9603, 1991-962X |
| Online Access: | Get full text |
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