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Annual frequencies of freezing rain diagnosed from the fifth-generation Canadian Regional Climate Model (CRCM5) for the past and future climates
Federated Research Data Repository / dépôt fédéré de données de recherche
McCray, Christopher D.; Paquin, Dominique; Thériault, Julie M.; Bresson, Émilie — 2022-06-09 This dataset contains output of yearly frequencies (hours) of freezing rain identified using four precipitation-type algorithms applied to output of the fifth-generation Canadian Regional Climate Model (CRCM5) run at Ouranos. Algorithms are applied to three-hourly output of eight simulations of four dynamically-downscaled global climate models (GCMs) on a 0.22° horizontal grid over the North American domain. Simulations for 1980-2005 are forced with observed greenhouse gas concentrations, with data for 2006-2099 using the RCP 8.5 greenhouse gas concentration trajectory. Each occurrence of freezing rain identified in the model output is multiplied by 3 for comparison with hourly observations. These data are associated with the article "A multi-algorithm analysis of projected changes to freezing rain over North America in an ensemble of regional climate model simulations" by McCray et al., submitted in 2022 to the Journal of Geophysical Research: Atmospheres.
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Impact of adjusted and non-adjusted surface observations on the cold season performance of the Canadian Precipitation Analysis (CaPA) System
Federated Research Data Repository / dépôt fédéré de données de recherche
Feng, Pei-Ning; Bélair, Stéphane; Thériault, Julie M.; Mekis, Eva; Khedhaouiria, Dikraa; Lespinas, Franck — 2023-06-13 This dataset contains output of the precipitation estimates over central Canada during the winter seasons from 2019 to 2022 of the Canadian Precipitation Analysis (CaPA) System developed by Environment and Climate Change Canada. Two approaches were tested and compared with the control run (CTRL). First, the wind speed threshold during the quality control procedure in CaPA was modified to increase the number of observations assimilated as QC. Second, the automatic solid precipitation measurements were adjusted using a universal transfer function as TF. These data are associated with the article "Impact of adjusted and non-adjusted surface observations on the cold season performance of the Canadian Precipitation Analysis (CaPA) System" by Feng et al., submitted in 2023.
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Meteorological observations and measurements collected during the Storms and Precipitation Across the continental Divide Experiment (SPADE), April – June 2019
Federated Research Data Repository / dépôt fédéré de données de recherche
Thériault, Julie M.; Déry, Stephen J.; Pomeroy, John; Stewart, Ronald E.; Smith, Hilary; Thompson, Hadleigh; Bertoncini, André; Desroches-Lapointe, Aurélie; Hébert-Pinard, Charlie; Mitchell, Selina; Morris, Jeremy; Almonte, Juris; Lachapelle, Mathieu; Mariani, Zen; Carton, Cécile — 2024-03-27 Global Water Future’s Storms and Precipitation Across the continental Divide Experiment (SPADE) was initiated to enhance our knowledge of the contribution of different moisture flows on precipitation across the Canadian Rockies. SPADE installed instrumentation on both sides of the continental divide to gather automated and manual observations during an intensive field campaign from 24 April to 26 June 2019. Various meteorological instruments were deployed including a two Doppler LiDARs, three vertically pointing micro rain radars and three optical disdrometers, alongside human observers during precipitation events. Detailed meteorological data such as air temperature, relative humidity, 3D wind fields, vertical profiles of radar reflectivity and Doppler velocity, precipitation and its type, and snow microphotography images were collected. This dataset will serve as a baseline for future work on atmospheric conditions over major orographic features by comparing the varying conditions on either side of a large topographic feature. https://creativecommons.org/licenses/by/4.0/

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(Author: Thériault, Julie M.)

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