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