Articles | Volume 15, issue 6
Research article
28 Jun 2021
Research article |  | 28 Jun 2021

Impact of dynamic snow density on GlobSnow snow water equivalent retrieval accuracy

Pinja Venäläinen, Kari Luojus, Juha Lemmetyinen, Jouni Pulliainen, Mikko Moisander, and Matias Takala


Interactive discussion

Status: closed

Comment types: AC – author | RC – referee | CC – community | EC – editor | CEC – chief editor | : Report abuse
  • RC1: 'Comment on tc-2021-15', Anonymous Referee #1, 23 Feb 2021
    • AC1: 'Reply on RC1', Pinja Venäläinen, 24 Mar 2021
  • RC2: 'Comment on tc-2021-15', Anonymous Referee #2, 24 Feb 2021
    • AC2: 'Reply on RC2', Pinja Venäläinen, 24 Mar 2021

Peer review completion

AR: Author's response | RR: Referee report | ED: Editor decision
ED: Publish subject to revisions (further review by editor and referees) (27 Mar 2021) by Carrie Vuyovich
AR by Pinja Venäläinen on behalf of the Authors (12 Apr 2021)  Author's response    Author's tracked changes    Manuscript
ED: Referee Nomination & Report Request started (25 Apr 2021) by Carrie Vuyovich
RR by Anonymous Referee #1 (09 May 2021)
ED: Publish subject to technical corrections (26 May 2021) by Carrie Vuyovich
AR by Pinja Venäläinen on behalf of the Authors (02 Jun 2021)  Author's response    Manuscript
Short summary
Information about snow water equivalent (SWE) is needed in many applications, including climate model evaluation and forecasting fresh water availability. Space-borne radiometer observations combined with ground snow depth measurements can be used to make global estimates of SWE. In this study, we investigate the possibility of using sparse snow density measurement in satellite-based SWE retrieval and show that using the snow density information in post-processing improves SWE estimations.