Articles | Volume 25, issue 3
https://doi.org/10.5194/hess-25-1671-2021
https://doi.org/10.5194/hess-25-1671-2021
Research article
 | 
01 Apr 2021
Research article |  | 01 Apr 2021

Groundwater level forecasting with artificial neural networks: a comparison of long short-term memory (LSTM), convolutional neural networks (CNNs), and non-linear autoregressive networks with exogenous input (NARX)

Andreas Wunsch, Tanja Liesch, and Stefan Broda

Download

Interactive discussion

Status: closed
Status: closed
AC: Author comment | RC: Referee comment | SC: Short comment | EC: Editor comment
Printer-friendly Version - Printer-friendly version Supplement - Supplement

Peer-review completion

AR: Author's response | RR: Referee report | ED: Editor decision
ED: Reconsider after major revisions (further review by editor and referees) (31 Jan 2021) by Mauro Giudici
AR by Andreas Wunsch on behalf of the Authors (01 Feb 2021)  Author's response    Author's tracked changes    Manuscript
ED: Referee Nomination & Report Request started (01 Feb 2021) by Mauro Giudici
RR by Anonymous Referee #2 (16 Feb 2021)
RR by Anonymous Referee #1 (01 Mar 2021)
ED: Publish subject to technical corrections (02 Mar 2021) by Mauro Giudici
Download