Articles | Volume 17, issue 9
Research article
12 Sep 2023
Research article |  | 12 Sep 2023

Evaluating the utility of active microwave observations as a snow mission concept using observing system simulation experiments

Eunsang Cho, Carrie M. Vuyovich, Sujay V. Kumar, Melissa L. Wrzesien, and Rhae Sung Kim


Interactive discussion

Status: closed

Comment types: AC – author | RC – referee | CC – community | EC – editor | CEC – chief editor | : Report abuse
  • RC1: 'Comment on tc-2022-220', Melody Sandells, 22 Dec 2022
    • AC1: 'Reply on RC1', Eunsang Cho, 16 May 2023
  • RC2: 'Comment on tc-2022-220', Anonymous Referee #2, 12 Jan 2023
    • AC2: 'Reply on RC2', Eunsang Cho, 16 May 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) (30 May 2023) by Patricia de Rosnay
AR by Eunsang Cho on behalf of the Authors (15 Jun 2023)  Author's response   Author's tracked changes   Manuscript 
ED: Referee Nomination & Report Request started (20 Jun 2023) by Patricia de Rosnay
RR by Anonymous Referee #2 (07 Jul 2023)
RR by Melody Sandells (09 Jul 2023)
ED: Publish subject to technical corrections (10 Jul 2023) by Patricia de Rosnay
AR by Eunsang Cho on behalf of the Authors (18 Jul 2023)  Author's response   Manuscript 
Short summary
As a future snow mission concept, active microwave sensors have the potential to measure snow water equivalent (SWE) in deep snowpack and forested environments. We used a modeling and data assimilation approach (a so-called observing system simulation experiment) to quantify the usefulness of active microwave-based SWE retrievals over western Colorado. We found that active microwave sensors with a mature retrieval algorithm can improve SWE simulations by about 20 % in the mountainous domain.