Earth System Science Data
Earth System Science Data
Earth System Science Data
Articles | Volume 14, issue 11
Articles | Volume 14, issue 11
https://doi.org/10.5194/essd-14-4995-2022
© Author(s) 2022. This work is distributed under
the Creative Commons Attribution 4.0 License.
Special issue:
https://doi.org/10.5194/essd-14-4995-2022
© Author(s) 2022. This work is distributed under
the Creative Commons Attribution 4.0 License.
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

Viewed

Total article views: 944 (including HTML, PDF, and XML)
HTML PDF XML Total BibTeX EndNote
722 199 23 944 13 14
  • HTML: 722
  • PDF: 199
  • XML: 23
  • Total: 944
  • BibTeX: 13
  • EndNote: 14
Views and downloads (calculated since 10 Jun 2022)
Cumulative views and downloads (calculated since 10 Jun 2022)

Viewed (geographical distribution)

Total article views: 944 (including HTML, PDF, and XML) Thereof 896 with geography defined and 48 with unknown origin.
Country # Views %
  • 1
1
 
 
 
 
Latest update: 20 Mar 2023
Download
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.
Read more
Special issue
Extreme environment datasets for the three poles