Articles | Volume 17, issue 2
Research article
13 Feb 2023
Research article |  | 13 Feb 2023

Implementing spatially and temporally varying snow densities into the GlobSnow snow water equivalent retrieval

Pinja Venäläinen, Kari Luojus, Colleen Mortimer, Juha Lemmetyinen, Jouni Pulliainen, Matias Takala, Mikko Moisander, and Lina Zschenderlein


Interactive discussion

Status: closed

Comment types: AC – author | RC – referee | CC – community | EC – editor | CEC – chief editor | : Report abuse
  • CC1: 'Comment on tc-2022-227', Alain Royer, 12 Dec 2022
    • AC3: 'Reply on CC1', Pinja Venäläinen, 31 Jan 2023
  • RC1: 'Comment on tc-2022-227', Nicolas Marchand, 27 Dec 2022
    • AC1: 'Reply on RC1', Pinja Venäläinen, 31 Jan 2023
  • RC2: 'Comment on tc-2022-227', Jennifer Jacobs, 09 Jan 2023
    • AC2: 'Reply on RC2', Pinja Venäläinen, 31 Jan 2023

Peer review completion

AR: Author's response | RR: Referee report | ED: Editor decision
ED: Publish subject to minor revisions (review by editor) (31 Jan 2023) by Alexandre Langlois
AR by Pinja Venäläinen on behalf of the Authors (01 Feb 2023)  Author's response    Author's tracked changes    Manuscript
ED: Publish as is (01 Feb 2023) by Alexandre Langlois
Short summary
Snow water equivalent (SWE) is a valuable characteristic of snow cover. In this research, we improve the radiometer-based GlobSnow SWE retrieval methodology by implementing spatially and temporally varying snow densities into the retrieval procedure. In addition to improving the accuracy of SWE retrieval, varying snow densities were found to improve the magnitude and seasonal evolution of the Northern Hemisphere snow mass estimate compared to the baseline product.