A synoptic climatology of strong along‐channel winds on the Coast of British Columbia, Canada

• Published in: International Journal of Climatology
• Main Authors: Bakri, Talaat, Jackson, Peter, Doherty, Ford
• Other Authors: NSERC, Canadian Natural Science and Engineering Research Council Discovery, Damascus University
• Format: Article in Journal/Newspaper
• Language: English
• Published: Wiley 2016
• Subjects: Arctic; British Columbia; Canada; Gulf of Alaska; Pacific; Alaska
• Online Access: http://dx.doi.org/10.1002/joc.4853; https://api.wiley.com/onlinelibrary/tdm/v1/articles/10.1002%2Fjoc.4853; https://rmets.onlinelibrary.wiley.com/doi/pdf/10.1002/joc.4853

ABSTRACT A synoptic climatology using mean sea level pressure and 500‐ hPa geopotential height composites is conducted for strong along‐channel winds that occur through five of the channels dissecting British Columbia's coast. Seasonal (winter, summer) and directional (inflow, air moving from the coast inland; outflow, air moving from inland towards the coast) partitioning of the winds, results in four distinct along‐channel winds that occur: summertime inflow, summertime outflow, wintertime inflow and wintertime outflow. Composite analyses using reanalysis data and in situ observations are used to examine each wind type at all locations. Wintertime composites produce patterns that are distinct from the overall winter climatology, in which outflows occur when an arctic surface high‐pressure area on the inland side of the coastal mountains is accompanied by the presence of an area of low surface pressure in the northeastern Pacific. Inflow composites in the winter indicate low‐pressure areas associated with mid‐latitude cyclones over the Gulf of Alaska. Summertime composites are similar to the overall summer climatology; therefore, other approaches are applied to explain these winds. We analyse 104 summertime inflow events at three locations using surface analysis charts for 13 summer seasons. The analysis reveals the importance of fronts at the time of inflows, with fronts associated with almost half of the events. Non‐hierarchical clustering analysis is applied for the summertime inflow events. The clustering analysis gives a better explanation of the summertime inflows than the composites. This is achieved by grouping events into different clusters, allowing for better illustration of the variance between the clusters.