Articles | Volume 16, issue 14
Model description paper
19 Jul 2023
Model description paper |  | 19 Jul 2023

An empirical model to calculate snow depth from daily snow water equivalent: SWE2HS 1.0

Johannes Aschauer, Adrien Michel, Tobias Jonas, and Christoph Marty


Interactive discussion

Status: closed

Comment types: AC – author | RC – referee | CC – community | EC – editor | CEC – chief editor | : Report abuse
  • RC1: 'Comment on gmd-2022-258', Anonymous Referee #1, 12 Feb 2023
  • RC2: 'Comment on gmd-2022-258', Anonymous Referee #2, 15 Feb 2023
  • AC1: 'Reply to RC1 and RC2 on gmd-2022-258', Johannes Aschauer, 28 Apr 2023

Peer review completion

AR: Author's response | RR: Referee report | ED: Editor decision | EF: Editorial file upload
AR by Johannes Aschauer on behalf of the Authors (28 Apr 2023)  Author's response   Author's tracked changes   Manuscript 
ED: Referee Nomination & Report Request started (24 May 2023) by Fabien Maussion
RR by Anonymous Referee #1 (27 May 2023)
ED: Publish as is (01 Jun 2023) by Fabien Maussion
AR by Johannes Aschauer on behalf of the Authors (04 Jun 2023)  Manuscript 
Short summary
Snow water equivalent is the mass of water stored in a snowpack. Based on exponential settling functions, the empirical snow density model SWE2HS is presented to convert time series of daily snow water equivalent into snow depth. The model has been calibrated with data from Switzerland and validated with independent data from the European Alps. A reference implementation of SWE2HS is available as a Python package.