Exploring the exceptional performance of a deep learning stream temperature model and the value of streamflow data
Stream water temperature ( T _s ) is a variable of critical importance for aquatic ecosystem health. T _s is strongly affected by groundwater-surface water interactions which can be learned from streamflow records, but previously such information was challenging to effectively absorb with process-ba...
Main Authors: | Farshid Rahmani, Kathryn Lawson, Wenyu Ouyang, Alison Appling, Samantha Oliver, Chaopeng Shen |
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Format: | Article |
Language: | English |
Published: |
IOP Publishing
2021-01-01
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Series: | Environmental Research Letters |
Subjects: | |
Online Access: | https://doi.org/10.1088/1748-9326/abd501 |
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