Articles | Volume 18, issue 1
Research article
31 Jan 2024
Research article |  | 31 Jan 2024

Passive microwave remote-sensing-based high-resolution snow depth mapping for Western Himalayan zones using multifactor modeling approach

Dhiraj Kumar Singh, Srinivasarao Tanniru, Kamal Kant Singh, Harendra Singh Negi, and RAAJ Ramsankaran


Interactive discussion

Status: closed

Comment types: AC – author | RC – referee | CC – community | EC – editor | CEC – chief editor | : Report abuse
  • RC1: 'Comment on tc-2023-66', Sartajvir Singh, 11 Jul 2023
    • AC1: 'Reply on RC1', RAAJ Ramsankaran, 12 Aug 2023
      • RC2: 'Reply on AC1', Sartajvir Singh, 12 Sep 2023
        • AC4: 'Reply on RC2', RAAJ Ramsankaran, 27 Nov 2023
  • RC3: 'Comment on tc-2023-66', Anonymous Referee #2, 13 Nov 2023
    • AC2: 'Reply on RC3', RAAJ Ramsankaran, 27 Nov 2023
  • RC4: 'Comment on tc-2023-66', Anonymous Referee #3, 16 Nov 2023
    • AC3: 'Reply on RC4', RAAJ Ramsankaran, 27 Nov 2023

Peer review completion

AR: Author's response | RR: Referee report | ED: Editor decision | EF: Editorial file upload
ED: Publish subject to minor revisions (review by editor) (28 Nov 2023) by Alexandre Langlois
AR by RAAJ Ramsankaran on behalf of the Authors (29 Nov 2023)  Author's response   Author's tracked changes   Manuscript 
ED: Publish as is (30 Nov 2023) by Alexandre Langlois
AR by Srinivasarao Tanniru on behalf of the Authors (01 Dec 2023)
Short summary
In situ techniques for snow depth (SD) measurement are not adequate to represent the spatiotemporal variability in SD in the Western Himalayan region. Therefore, this study focuses on the high-resolution mapping of daily snow depth in the Indian Western Himalayan region using passive microwave remote-sensing-based algorithms. Overall, the proposed multifactor SD models demonstrated substantial improvement compared to the operational products. However, there is a scope for further improvement.