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Atmospheric and surface observation data collected during the Saint John River Experiment on Cold Season Storms

Description: Meteorological data, manual observations, and photographic images of hydrometeors recorded during the Saint John River Experiment on Cold Season Storms. The dataset covers the period December 2020 to April 2021, with an intensive observation period from March 2021 to April 2021.
Authors: Thompson, Hadleigh D; Université du Québec à Montréal; ORCID iD 0000-0001-5145-5951
Thériault, Julie M; Université du Québec à Montréal; ORCID iD 0000-0001-6534-5083
Rickard, Lisa; University of Northern British Columbia
Déry, Stephen J; University of Northern British Columbia
Leroux, Nicolas R; Université du Québec à Montréal
Stewart, Ronald E; University of Manitoba
Vionnet, Vincent; Environment and Climate Change Canada
Colli, Matteo; University of Genova
Boisvert, Dominique; Université du Québec à Montréal
Keywords: Edmundston
New Brunswick
Cold season
Meteorology
Hydrology
Hydrometeorology
Flux
Micro Rain Radar
Disdrometre
Spring
Winter
Field of Research: 
Earth and related environmental sciences
>
Atmospheric sciences
>
Meteorology and weather
Publication Date: 2023-02-10
Publisher: Federated Research Data Repository / dépôt fédéré de données de recherche
Funder: Global Water Futures; 418474-1234
URI: https://doi.org/10.20383/103.0591
Geographic Coverage: 
Place Name
Edmundston
City
Edmundston
Province /
Province / Territory
New Brunswick
Territory
 
Country
Canada
Geographic Point: 
Latitude
47.418
Longitude
-68.324

Latitude
47.361
Longitude
-68.320
Appears in Collections:Global Water Futures

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Access to this dataset is subject to the following terms:
Creative Commons Attribution 4.0 International (CC BY 4.0) https://creativecommons.org/licenses/by/4.0/
Citation
Thompson, H., Thériault, J., Rickard, L., Déry, S., Leroux, N., Stewart, R., Vionnet, V., Colli, M., Boisvert, D. (2023). Atmospheric and surface observation data collected during the Saint John River Experiment on Cold Season Storms. Federated Research Data Repository. https://doi.org/10.20383/103.0591