An Updated Synoptic Climatology of Lake Erie and Lake Ontario Heavy Lake-Effect Snow Events
Lake-effect snow (LES) storms pose numerous hazards, including extreme snowfall and blizzard conditions, and insight into the large-scale precursor conditions associated with LES can aid local forecasters and potentially allow risks to be mitigated. In this study, a synoptic climatology of severe LE...
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ftdoajarticles:oai:doaj.org/article:fb2b01c41cf347b697de14ec97ea131a 2023-05-15T16:35:29+02:00 An Updated Synoptic Climatology of Lake Erie and Lake Ontario Heavy Lake-Effect Snow Events Jake Wiley Andrew Mercer 2020-08-01T00:00:00Z https://doi.org/10.3390/atmos11080872 https://doaj.org/article/fb2b01c41cf347b697de14ec97ea131a EN eng MDPI AG https://www.mdpi.com/2073-4433/11/8/872 https://doaj.org/toc/2073-4433 doi:10.3390/atmos11080872 2073-4433 https://doaj.org/article/fb2b01c41cf347b697de14ec97ea131a Atmosphere, Vol 11, Iss 872, p 872 (2020) lake-effect climatology numerical weather prediction synoptic mesoscale winter weather Meteorology. Climatology QC851-999 article 2020 ftdoajarticles https://doi.org/10.3390/atmos11080872 2022-12-31T15:07:42Z Lake-effect snow (LES) storms pose numerous hazards, including extreme snowfall and blizzard conditions, and insight into the large-scale precursor conditions associated with LES can aid local forecasters and potentially allow risks to be mitigated. In this study, a synoptic climatology of severe LES events over Lakes Erie and Ontario was created using an updated methodology based on previous studies with similar research objectives. Principal component analysis (PCA) coupled with cluster analysis (CA) was performed on a case set of LES events from a study domain encompassing both lakes, grouping LES events with similar spatial characteristics into the primary composite structures for LES. Synoptic scale composites were constructed for each cluster using the North American Regional Reanalysis (NARR). Additionally, one case from each cluster was simulated using the Weather Research and Forecast (WRF) model to analyze mesoscale conditions associated with each of the clusters. Three synoptic setups were identified that consisted of discrepancies, mostly in the surface fields, from a common pattern previously identified as being conducive to LES, which features a dipole and upper-level low pressure anomaly located near the Hudson Bay. Mesoscale conditions associated with each composite support differing LES impacts constrained to individual lakes or a combination of both. Article in Journal/Newspaper Hudson Bay Directory of Open Access Journals: DOAJ Articles Hudson Hudson Bay Atmosphere 11 8 872 |
institution |
Open Polar |
collection |
Directory of Open Access Journals: DOAJ Articles |
op_collection_id |
ftdoajarticles |
language |
English |
topic |
lake-effect climatology numerical weather prediction synoptic mesoscale winter weather Meteorology. Climatology QC851-999 |
spellingShingle |
lake-effect climatology numerical weather prediction synoptic mesoscale winter weather Meteorology. Climatology QC851-999 Jake Wiley Andrew Mercer An Updated Synoptic Climatology of Lake Erie and Lake Ontario Heavy Lake-Effect Snow Events |
topic_facet |
lake-effect climatology numerical weather prediction synoptic mesoscale winter weather Meteorology. Climatology QC851-999 |
description |
Lake-effect snow (LES) storms pose numerous hazards, including extreme snowfall and blizzard conditions, and insight into the large-scale precursor conditions associated with LES can aid local forecasters and potentially allow risks to be mitigated. In this study, a synoptic climatology of severe LES events over Lakes Erie and Ontario was created using an updated methodology based on previous studies with similar research objectives. Principal component analysis (PCA) coupled with cluster analysis (CA) was performed on a case set of LES events from a study domain encompassing both lakes, grouping LES events with similar spatial characteristics into the primary composite structures for LES. Synoptic scale composites were constructed for each cluster using the North American Regional Reanalysis (NARR). Additionally, one case from each cluster was simulated using the Weather Research and Forecast (WRF) model to analyze mesoscale conditions associated with each of the clusters. Three synoptic setups were identified that consisted of discrepancies, mostly in the surface fields, from a common pattern previously identified as being conducive to LES, which features a dipole and upper-level low pressure anomaly located near the Hudson Bay. Mesoscale conditions associated with each composite support differing LES impacts constrained to individual lakes or a combination of both. |
format |
Article in Journal/Newspaper |
author |
Jake Wiley Andrew Mercer |
author_facet |
Jake Wiley Andrew Mercer |
author_sort |
Jake Wiley |
title |
An Updated Synoptic Climatology of Lake Erie and Lake Ontario Heavy Lake-Effect Snow Events |
title_short |
An Updated Synoptic Climatology of Lake Erie and Lake Ontario Heavy Lake-Effect Snow Events |
title_full |
An Updated Synoptic Climatology of Lake Erie and Lake Ontario Heavy Lake-Effect Snow Events |
title_fullStr |
An Updated Synoptic Climatology of Lake Erie and Lake Ontario Heavy Lake-Effect Snow Events |
title_full_unstemmed |
An Updated Synoptic Climatology of Lake Erie and Lake Ontario Heavy Lake-Effect Snow Events |
title_sort |
updated synoptic climatology of lake erie and lake ontario heavy lake-effect snow events |
publisher |
MDPI AG |
publishDate |
2020 |
url |
https://doi.org/10.3390/atmos11080872 https://doaj.org/article/fb2b01c41cf347b697de14ec97ea131a |
geographic |
Hudson Hudson Bay |
geographic_facet |
Hudson Hudson Bay |
genre |
Hudson Bay |
genre_facet |
Hudson Bay |
op_source |
Atmosphere, Vol 11, Iss 872, p 872 (2020) |
op_relation |
https://www.mdpi.com/2073-4433/11/8/872 https://doaj.org/toc/2073-4433 doi:10.3390/atmos11080872 2073-4433 https://doaj.org/article/fb2b01c41cf347b697de14ec97ea131a |
op_doi |
https://doi.org/10.3390/atmos11080872 |
container_title |
Atmosphere |
container_volume |
11 |
container_issue |
8 |
container_start_page |
872 |
_version_ |
1766025704435089408 |