Articles | Volume 14, issue 11
Data description paper
11 Nov 2022
Data description paper |  | 11 Nov 2022

Enhanced automated meteorological observations at the Canadian Arctic Weather Science (CAWS) supersites

Zen Mariani, Laura Huang, Robert Crawford, Jean-Pierre Blanchet, Shannon Hicks-Jalali, Eva Mekis, Ludovick Pelletier, Peter Rodriguez, and Kevin Strawbridge


Interactive discussion

Status: closed

Comment types: AC – author | RC – referee | CC – community | EC – editor | CEC – chief editor | : Report abuse
  • RC1: 'Comment on essd-2022-174', Anonymous Referee #1, 23 Jun 2022
  • RC2: 'Comment on essd-2022-174', Anonymous Referee #2, 06 Jul 2022
  • AC1: 'Comment on essd-2022-174', Zen Mariani, 24 Aug 2022

Peer review completion

AR: Author's response | RR: Referee report | ED: Editor decision | EF: Editorial file upload
AR by Zen Mariani on behalf of the Authors (24 Aug 2022)  Author's response   Author's tracked changes   Manuscript 
ED: Referee Nomination & Report Request started (02 Sep 2022) by Tao Che
RR by Anonymous Referee #2 (14 Sep 2022)
ED: Publish subject to technical corrections (15 Oct 2022) by Tao Che
AR by Zen Mariani on behalf of the Authors (20 Oct 2022)  Manuscript 
Short summary
Environment and Climate Change Canada (ECCC) commissioned two supersites in Iqaluit (64°N, 69°W) and Whitehorse (61°N, 135°W) to provide new and enhanced automated and continuous altitude-resolved meteorological observations as part of the Canadian Arctic Weather Science (CAWS) project. These observations are being used to test new technologies, provide recommendations to the optimal Arctic observing system, and evaluate and improve the performance of numerical weather forecast systems.
Final-revised paper