Articles | Volume 14, issue 11
https://doi.org/10.5194/essd-14-4995-2022
https://doi.org/10.5194/essd-14-4995-2022
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

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Cited articles

Arctic Council: Telecommunications Infrastructure in the Arctic: a circumpolar assessment, https://oaarchive.arctic-council.org/handle/11374/1924 (last access: 3 February 2019), 2017. 
Barthazy, E. and Schefold, R.: Fall velocity of snowflakes of different riming degree and crystal types, Atmos. Res., 82, 391–398, 2006. 
Battaglia, A., Rustemeier, E., Tokay, A., Blahak, U., and Simmer, C.: Parsivel snow observations: a critical assessment, J. Atmos. Ocean. Tech., 27, 333–344, https://doi.org/10.1175/2009JTECHA1332.1, 2010. 
Bauer-Pfundstein, M. R.: Target Separation and Classification using Cloud Radar Doppler-Spectra, in: Proceedings of the AMS 33rd International Conference on Radar Meteorology, Cairns, Australia, 6–10 August 2007, https://ams.confex.com/ams/pdfpapers/123456.pdf (last access: 4 November 2022), 2007. 
Blewitt, G., Hammond, W. C., and Kreemer, C.: Harnessing the GPS data explosion for interdisciplinary science, EOS, 99, https://doi.org/10.1029/2018EO104623, 2018. 
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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.
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