-
Notifications
You must be signed in to change notification settings - Fork 0
Commit
- Loading branch information
There are no files selected for viewing
Some generated files are not rendered by default. Learn more about how customized files appear on GitHub.
Some generated files are not rendered by default. Learn more about how customized files appear on GitHub.
Some generated files are not rendered by default. Learn more about how customized files appear on GitHub.
Some generated files are not rendered by default. Learn more about how customized files appear on GitHub.
Some generated files are not rendered by default. Learn more about how customized files appear on GitHub.
Some generated files are not rendered by default. Learn more about how customized files appear on GitHub.
Some generated files are not rendered by default. Learn more about how customized files appear on GitHub.
Original file line number | Diff line number | Diff line change |
---|---|---|
@@ -0,0 +1,22 @@ | ||
# LSTM stream temperature model | ||
|
||
## Code Release | ||
|
||
[See here for the USGS release](https://doi.org/10.5066/P97CGHZH) | ||
|
||
## Results | ||
|
||
We developed a basin-centric LSTM model for daily stream temperature prediction and to evaluate the impact of streamflow information on the predictions. | ||
|
||
## Bibtex Citation | ||
|
||
|
||
```bibtex | ||
@article{Rahmani2021lstm, | ||
title={Exploring the Exceptional Performance of a Deep Learning Stream Temperature Model and the Value of Streamflow Data}, | ||
author={Rahmani, Farshid and Lawson, Kathryn and Ouyang, Wenyu and Appling, Alison and Oliver, Samantha and Shen, Chaopeng}, | ||
journal={Environmental Research Letters}, | ||
year={2021}, | ||
publisher={IOPScience} | ||
} | ||
``` |