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

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

doi:https://doi.org/10.5194/essd-14-4995-2022

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:

Extreme environment datasets for the three poles

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

Data sets

Iqaluit, NU, CAWS supersite enhanced meteorological observations Zen Mariani, Laura Huang, and Robert Crawford https://doi.org/10.18164/ff771396-b22c-4bc3-844d-38fc697049e9

Whitehorse, YT, CAWS supersite enhanced meteorological observations Zen Mariani, Laura Huang, and Robert Crawford https://doi.org/10.18164/d92ed3cf-4ba0-4473-beec-357ec45b0e78

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.