An Improved Environmental Forecast Parameter for Snow Squalls in the High Plains and Mountain West

An Improved Environmental Forecast Parameter for Snow Squalls in the High Plains and Mountain West PDF Author: Robert Capella
Publisher:
ISBN:
Category : Airports
Languages : en
Pages : 35

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Book Description
The National Weather Service (NWS) has been issuing snow squall warnings since the winter of 2018-19. Snow squalls are intense but brief periods of moderate to heavy snowfall accompanied by high surface winds resulting in reduced visibility and dangerous white-out road conditions. Model guidance must be a key supplement to observations in issuing snow squall warnings, especially in the High Plains and Mountain West, due to the relatively sparse radar network for snow squalls, beam blockage by terrain, and coarse surface observation network.In this study, we analyze five cool seasons (Sept-May, 2016-2021) of surface-observed snow squalls at the Cheyenne Regional Airport (KCYS) in Wyoming. Our definition of snow squalls is aided by an online survey completed by NWS forecasters in the High Plains region. A climatology of 56 observed snow squall events is built and evaluated for common synoptic and mesoscale traits. It is found that snow squalls are driven by shallow upright convection (either surface-based or elevated) and/or by localized dynamical forcing (symmetric instability and/or frontogenesis).Given the small scale and convective nature of snow squalls and the complex terrain in the region of interest, the convection-permitting High-Resolution Rapid Refresh (HRRR) model is used. We leverage the cases’ and control’s modeled environments to assess the skill of the Snow Squall Parameter, developed based on New England snow squalls, and a new EPV-based forecast parameter against known events. We find that the latter better predicts the environment which can support snow squalls in the High Plains and Mountain West.

An Improved Environmental Forecast Parameter for Snow Squalls in the High Plains and Mountain West

An Improved Environmental Forecast Parameter for Snow Squalls in the High Plains and Mountain West PDF Author: Robert Capella
Publisher:
ISBN:
Category : Airports
Languages : en
Pages : 35

Get Book Here

Book Description
The National Weather Service (NWS) has been issuing snow squall warnings since the winter of 2018-19. Snow squalls are intense but brief periods of moderate to heavy snowfall accompanied by high surface winds resulting in reduced visibility and dangerous white-out road conditions. Model guidance must be a key supplement to observations in issuing snow squall warnings, especially in the High Plains and Mountain West, due to the relatively sparse radar network for snow squalls, beam blockage by terrain, and coarse surface observation network.In this study, we analyze five cool seasons (Sept-May, 2016-2021) of surface-observed snow squalls at the Cheyenne Regional Airport (KCYS) in Wyoming. Our definition of snow squalls is aided by an online survey completed by NWS forecasters in the High Plains region. A climatology of 56 observed snow squall events is built and evaluated for common synoptic and mesoscale traits. It is found that snow squalls are driven by shallow upright convection (either surface-based or elevated) and/or by localized dynamical forcing (symmetric instability and/or frontogenesis).Given the small scale and convective nature of snow squalls and the complex terrain in the region of interest, the convection-permitting High-Resolution Rapid Refresh (HRRR) model is used. We leverage the cases’ and control’s modeled environments to assess the skill of the Snow Squall Parameter, developed based on New England snow squalls, and a new EPV-based forecast parameter against known events. We find that the latter better predicts the environment which can support snow squalls in the High Plains and Mountain West.

CRM

CRM PDF Author:
Publisher:
ISBN:
Category : Cultural property
Languages : en
Pages : 228

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Storm Data

Storm Data PDF Author:
Publisher:
ISBN:
Category : Storms
Languages : en
Pages : 290

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Supreme Court

Supreme Court  PDF Author:
Publisher:
ISBN:
Category :
Languages : en
Pages : 1398

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Meteorology...

Meteorology... PDF Author: Sir George Clarke Simpson
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ISBN:
Category : Meteorology
Languages : en
Pages : 950

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Snow Squall

Snow Squall PDF Author: Paul Bland
Publisher:
ISBN: 9780999603581
Category :
Languages : en
Pages :

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Historical Fiction

Senate documents

Senate documents PDF Author:
Publisher:
ISBN:
Category :
Languages : en
Pages : 706

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State of New York, In the Court of Appeals.

State of New York, In the Court of Appeals. PDF Author:
Publisher:
ISBN:
Category :
Languages : en
Pages : 1518

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Transactions of the Connecticut Academy of Arts and Sciences

Transactions of the Connecticut Academy of Arts and Sciences PDF Author:
Publisher:
ISBN:
Category : Auroras
Languages : en
Pages : 658

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Vol. 15, "To the University of Leipzig on the occasion of the five hundredth anniversary of its foundation, from Yale University and the Connecticut Academy of Arts and Sciences, 1909."

A Comprehensive Investigation of Convective Snow in Central Pennsylvania

A Comprehensive Investigation of Convective Snow in Central Pennsylvania PDF Author: Karl Schneider
Publisher:
ISBN:
Category :
Languages : en
Pages : 0

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Book Description
Snow squalls are progressive mesoscale convective systems characterized by brief, sudden bursts of heavy snow, reduced visibility, and gusty winds. Snow squalls present a significant hazard to motorists across the Northeast and are one of the leading causes of weather-related fatalities on Pennsylvania roadways. Thus, there is a need to understand the environmental factors that lead to snow squall formation and organization to provide relevant and accurate information to those impacted. Prior research on snow squalls has been mostly limited to a handful of case studies of notable events. These studies focused on the classic linear snow squall but did not account for the larger variety of convective snow modes that are frequently observed. Thus, we identified a need to create a robust climatology of convective snow (CS) events. Using NEXRAD data from KCCX, a novel radar CS detection algorithm was developed and applied to ten cold seasons at an hourly interval (2012-2022) to identify CS events in central Pennsylvania. In total, 159 cases were identified during the period, and multiple different modes of convective organization were observed during each case. Several primary modes were identified: linear snow squall, single cells, multicells, and streamer bands, and each hour during all of the cases was classified as one of these modes. Interestingly, the most-studied classic linear snow squall only occurred