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

The changing Arctic climate is creating increased economic, transportation, and recreational activities requiring reliable and relevant weather information. However, the Canadian Arctic is sparsely observed, and processes governing weather systems in the Arctic are not well understood. There is a re...

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Published in:Earth System Science Data
Main Authors: Z. Mariani, L. Huang, R. Crawford, J.-P. Blanchet, S. Hicks-Jalali, E. Mekis, L. Pelletier, P. Rodriguez, K. Strawbridge
Format: Article in Journal/Newspaper
Language:English
Published: Copernicus Publications 2022
Subjects:
Online Access:https://doi.org/10.5194/essd-14-4995-2022
https://doaj.org/article/db2b8d82d19b4e3292bdc25dc59015e6
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spelling ftdoajarticles:oai:doaj.org/article:db2b8d82d19b4e3292bdc25dc59015e6 2023-05-15T14:35:14+02:00 Enhanced automated meteorological observations at the Canadian Arctic Weather Science (CAWS) supersites Z. Mariani L. Huang R. Crawford J.-P. Blanchet S. Hicks-Jalali E. Mekis L. Pelletier P. Rodriguez K. Strawbridge 2022-11-01T00:00:00Z https://doi.org/10.5194/essd-14-4995-2022 https://doaj.org/article/db2b8d82d19b4e3292bdc25dc59015e6 EN eng Copernicus Publications https://essd.copernicus.org/articles/14/4995/2022/essd-14-4995-2022.pdf https://doaj.org/toc/1866-3508 https://doaj.org/toc/1866-3516 doi:10.5194/essd-14-4995-2022 1866-3508 1866-3516 https://doaj.org/article/db2b8d82d19b4e3292bdc25dc59015e6 Earth System Science Data, Vol 14, Pp 4995-5017 (2022) Environmental sciences GE1-350 Geology QE1-996.5 article 2022 ftdoajarticles https://doi.org/10.5194/essd-14-4995-2022 2022-12-30T20:20:36Z The changing Arctic climate is creating increased economic, transportation, and recreational activities requiring reliable and relevant weather information. However, the Canadian Arctic is sparsely observed, and processes governing weather systems in the Arctic are not well understood. There is a recognized lack of meteorological data to characterize the Arctic atmosphere for operational forecasting and to support process studies, satellite calibration/validation, search and rescue operations (which are increasing in the region), high-impact weather (HIW) detection and prediction, and numerical weather prediction (NWP) model verification and evaluation. To address this need, Environment and Climate Change Canada commissioned two supersites, one in Iqaluit (63.74 ∘ N, 68.51 ∘ W) in September 2015 and the other in Whitehorse (60.71 ∘ N, 135.07 ∘ W) in November 2017 as part of the Canadian Arctic Weather Science (CAWS) project. The primary goals of CAWS are to provide enhanced meteorological observations in the Canadian Arctic for HIW nowcasting (short-range forecast) and NWP model verification, evaluation, and process studies and to provide recommendations on the optimal cost-effective observing system for the Canadian Arctic. Both sites are in provincial/territorial capitals and are economic hubs for the region; they also act as transportation gateways to the north and are in the path of several common Arctic storm tracks. The supersites are located at or next to major airports and existing Meteorological Service of Canada ground-based weather stations that provide standard meteorological surface observations and upper-air radiosonde observations; they are also uniquely situated in close proximity to frequent overpasses by polar-orbiting satellites. The suite of in situ and remote sensing instruments at each site is completely automated (no on-site operator) and operates continuously in all weather conditions, providing near-real-time data to operational weather forecasters, the public, and researchers via ... Article in Journal/Newspaper Arctic Climate change Iqaluit Directory of Open Access Journals: DOAJ Articles Arctic Canada Earth System Science Data 14 11 4995 5017
institution Open Polar
collection Directory of Open Access Journals: DOAJ Articles
op_collection_id ftdoajarticles
language English
topic Environmental sciences
GE1-350
Geology
QE1-996.5
spellingShingle Environmental sciences
GE1-350
Geology
QE1-996.5
Z. Mariani
L. Huang
R. Crawford
J.-P. Blanchet
S. Hicks-Jalali
E. Mekis
L. Pelletier
P. Rodriguez
K. Strawbridge
Enhanced automated meteorological observations at the Canadian Arctic Weather Science (CAWS) supersites
topic_facet Environmental sciences
GE1-350
Geology
QE1-996.5
description The changing Arctic climate is creating increased economic, transportation, and recreational activities requiring reliable and relevant weather information. However, the Canadian Arctic is sparsely observed, and processes governing weather systems in the Arctic are not well understood. There is a recognized lack of meteorological data to characterize the Arctic atmosphere for operational forecasting and to support process studies, satellite calibration/validation, search and rescue operations (which are increasing in the region), high-impact weather (HIW) detection and prediction, and numerical weather prediction (NWP) model verification and evaluation. To address this need, Environment and Climate Change Canada commissioned two supersites, one in Iqaluit (63.74 ∘ N, 68.51 ∘ W) in September 2015 and the other in Whitehorse (60.71 ∘ N, 135.07 ∘ W) in November 2017 as part of the Canadian Arctic Weather Science (CAWS) project. The primary goals of CAWS are to provide enhanced meteorological observations in the Canadian Arctic for HIW nowcasting (short-range forecast) and NWP model verification, evaluation, and process studies and to provide recommendations on the optimal cost-effective observing system for the Canadian Arctic. Both sites are in provincial/territorial capitals and are economic hubs for the region; they also act as transportation gateways to the north and are in the path of several common Arctic storm tracks. The supersites are located at or next to major airports and existing Meteorological Service of Canada ground-based weather stations that provide standard meteorological surface observations and upper-air radiosonde observations; they are also uniquely situated in close proximity to frequent overpasses by polar-orbiting satellites. The suite of in situ and remote sensing instruments at each site is completely automated (no on-site operator) and operates continuously in all weather conditions, providing near-real-time data to operational weather forecasters, the public, and researchers via ...
format Article in Journal/Newspaper
author Z. Mariani
L. Huang
R. Crawford
J.-P. Blanchet
S. Hicks-Jalali
E. Mekis
L. Pelletier
P. Rodriguez
K. Strawbridge
author_facet Z. Mariani
L. Huang
R. Crawford
J.-P. Blanchet
S. Hicks-Jalali
E. Mekis
L. Pelletier
P. Rodriguez
K. Strawbridge
author_sort Z. Mariani
title Enhanced automated meteorological observations at the Canadian Arctic Weather Science (CAWS) supersites
title_short Enhanced automated meteorological observations at the Canadian Arctic Weather Science (CAWS) supersites
title_full Enhanced automated meteorological observations at the Canadian Arctic Weather Science (CAWS) supersites
title_fullStr Enhanced automated meteorological observations at the Canadian Arctic Weather Science (CAWS) supersites
title_full_unstemmed Enhanced automated meteorological observations at the Canadian Arctic Weather Science (CAWS) supersites
title_sort enhanced automated meteorological observations at the canadian arctic weather science (caws) supersites
publisher Copernicus Publications
publishDate 2022
url https://doi.org/10.5194/essd-14-4995-2022
https://doaj.org/article/db2b8d82d19b4e3292bdc25dc59015e6
geographic Arctic
Canada
geographic_facet Arctic
Canada
genre Arctic
Climate change
Iqaluit
genre_facet Arctic
Climate change
Iqaluit
op_source Earth System Science Data, Vol 14, Pp 4995-5017 (2022)
op_relation https://essd.copernicus.org/articles/14/4995/2022/essd-14-4995-2022.pdf
https://doaj.org/toc/1866-3508
https://doaj.org/toc/1866-3516
doi:10.5194/essd-14-4995-2022
1866-3508
1866-3516
https://doaj.org/article/db2b8d82d19b4e3292bdc25dc59015e6
op_doi https://doi.org/10.5194/essd-14-4995-2022
container_title Earth System Science Data
container_volume 14
container_issue 11
container_start_page 4995
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