From 3d742bfefa01e715fe10b8fb6f0caeb3cbd84001 Mon Sep 17 00:00:00 2001 From: Martin Gauch <15731649+gauchm@users.noreply.github.com> Date: Tue, 1 Dec 2020 22:00:13 +0100 Subject: [PATCH] Update citation in README.md --- README.md | 17 +++++++++-------- 1 file changed, 9 insertions(+), 8 deletions(-) diff --git a/README.md b/README.md index 089e2ca..5f73caa 100644 --- a/README.md +++ b/README.md @@ -1,9 +1,9 @@ # Rainfall–Runoff Prediction at Multiple Timescales with a Single Long Short-Term Memory Network -Accompanying code for the paper [**"Rainfall–Runoff Prediction at Multiple Timescales with a Single Long Short-Term Memory Network"**](https://arxiv.org/abs/2010.07921) +Accompanying code for the paper [**"Rainfall–Runoff Prediction at Multiple Timescales with a Single Long Short-Term Memory Network"**](https://doi.org/10.5194/hess-2020-540) - Gauch, M., Kratzert, F., Klotz, D., Nearing, G., Lin, J., and Hochreiter, S.: - Rainfall--Runoff Prediction at Multiple Timescales with a Single Long Short-Term Memory Network, 2020. + Gauch, M., Kratzert, F., Klotz, D., Nearing, G., Lin, J., and Hochreiter, S.: Rainfall--Runoff Prediction at + Multiple Timescales with a Single Long Short-Term Memory Network, Hydrol. Earth Syst. Sci. Discuss., in review, 2020. The code in this repository, together with the `neuralhydrology` Python package, was used to produce all results and figures in our paper. If you want to play around and train models yourself, we recommend taking a look at the [neuralhydrology documentation](https://neuralhydrology.readthedocs.io/), which also contains some tutorials on how to get started. @@ -44,11 +44,12 @@ Martin Gauch: `gauch (at) ml.jku.at` @article{Gauch2020mtslstm, author = {Gauch, Martin and Kratzert, Frederik and Klotz, Daniel and Nearing, Grey and Lin, Jimmy and Hochreiter, Sepp}, title = {Rainfall--Runoff Prediction at Multiple Timescales with a Single Long Short-Term Memory Network}, - journal = {n/a}, - volume = {n/a}, - number = {n/a}, - pages = {}, - doi = {n/a} + journal = {Hydrology and Earth System Sciences Discussions}, + volume = {2020}, + year = {2020}, + pages = {1--25}, + url = {https://hess.copernicus.org/preprints/hess-2020-540/}, + doi = {10.5194/hess-2020-540} } ```