Articles | Volume 17, issue 10
Research article
13 Oct 2023
Research article |  | 13 Oct 2023

Evaluating Snow Microwave Radiative Transfer (SMRT) model emissivities with 89 to 243 GHz observations of Arctic tundra snow

Kirsty Wivell, Stuart Fox, Melody Sandells, Chawn Harlow, Richard Essery, and Nick Rutter


Interactive discussion

Status: closed

Comment types: AC – author | RC – referee | CC – community | EC – editor | CEC – chief editor | : Report abuse
  • RC1: 'Comment on egusphere-2023-878', Anonymous Referee #1, 26 May 2023
    • AC1: 'Reply on RC1', Kirsty Wivell, 31 Jul 2023
  • RC2: 'Comment on egusphere-2023-878', Anonymous Referee #2, 07 Jul 2023
    • AC2: 'Reply on RC2', Kirsty Wivell, 31 Jul 2023

Peer review completion

AR: Author's response | RR: Referee report | ED: Editor decision | EF: Editorial file upload
ED: Publish subject to revisions (further review by editor and referees) (16 Aug 2023) by Patricia de Rosnay
AR by Kirsty Wivell on behalf of the Authors (17 Aug 2023)  Author's response   Author's tracked changes   Manuscript 
ED: Referee Nomination & Report Request started (18 Aug 2023) by Patricia de Rosnay
RR by Anonymous Referee #1 (22 Aug 2023)
RR by Anonymous Referee #2 (06 Sep 2023)
ED: Publish as is (07 Sep 2023) by Patricia de Rosnay
AR by Kirsty Wivell on behalf of the Authors (07 Sep 2023)
Short summary
Satellite microwave observations improve weather forecasts, but to use these observations in the Arctic, snow emission must be known. This study uses airborne and in situ snow observations to validate emissivity simulations for two- and three-layer snowpacks at key frequencies for weather prediction. We assess the impact of thickness, grain size and density in key snow layers, which will help inform development of physical snow models that provide snow profile input to emissivity simulations.