Kelley Murphy Earth & Atmospheric Sciences Department State University of New York at OneontaPhoto of snow crystals collected by Univ. of Utah during the.

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Presentation transcript:

Kelley Murphy Earth & Atmospheric Sciences Department State University of New York at OneontaPhoto of snow crystals collected by Univ. of Utah during the Ontario Winter Lake-effect Systems (OWLeS) project Stephen VanHoesen Department of Geoscience Hobart & William Smith Colleges Neil Laird Department of Geoscience Hobart & William Smith Colleges Nick Metz Department of Geoscience Hobart & William Smith Colleges This research was conducted during the 2015 undergraduate summer research program at Hobart & William Smith (HWS) Colleges. Funding for this project was provided by the National Science Foundation and the HWS Provost's Office. Dendritic Growth Zones in Lake-effect, Lake-enhanced & Synoptic Snowstorms

From Baxter, A. A., C. E. Graves, J. T. Moore, 2005: A Climatology of Snow-to-Liquid Ratio for the Contiguous United States. Wea. Forecasting, 20, 729–744. INTRODUCTION: Snow-to-Liquid Ratio Climatology

INTRODUCTION: Forecasting Snowfall NWP models do a better job at indicating the temporal and spatial distribution of forcing for precipitation, than they do forecasting the actual QPF During big snowfalls, much of the snow falls within a small time window From an impact standpoint, forecasting these brief periods of intense snowfall are as important (and maybe more important) than forecasting the total amounts From Mahoney, Waldstreicher, and Niziol, 2003: Using Bufkit to Visualize Precipitation Amount and Type. Warning Decision Training Branch Presentation. Winter Weather Workshop

INTRODUCTION: Forecasted Omega & Dendritic Growth Intersection From Mahoney, Waldstreicher, and Niziol, 2003: Using Bufkit to Visualize Precipitation Amount and Type. Warning Decision Training Branch Presentation. Winter Weather Workshop

INTRODUCTION: Ice Crystal relation to Temperature & Supersaturation From Nakaya, U., (1954): Snow Crystals: Natural and Artificial Dendritic Ice Crystal Growth most often occurring with: Temperature Range -12°C to -18°C Supersaturation w.r.t. Ice > 8%

Objective: Understand the characteristics of dendritic growth zones (DGZs) associated with different types of snowfall events Data & Methods: Buffalo, NY region October – March of 2010/2011 through 2014/2015 (5 cold seasons) Identify Snowfall events 22 – 02 UTC & 10 – 14 UTC (4-hr periods centered on 00 & 12 UTC soundings) Region within 167 km (100 mi) radius from KBUF SNODAS hourly snowfall product; > trace LWE snowfall (NOHRSC) Archived surface, upper-air analyses, & lake temperatures (UCAR; CSU; GLERL) Archived KBUF WSR-88D radar data (NCDC) DGZ analyses 653 archived KBUF 00 UTC & 12 UTC soundings (Univ. Wyoming) SPSS statistical software RESEARCH OBJECTIVES & METHODS

METHODS: Lake-effect, Lake-enhanced, & Synoptic LAKE-EFFECT: temperature difference of about 13°C or greater between the lake surface and 850 hPa. ex: cold front passes through the region w/ cold air moving over warm lake, leading to precipitation bands LAKE-ENHANCED: lake-effect band within synoptic precipitation SYNOPTIC: solely synoptic cyclone moving through the region or a passing front w/ precipitation ahead of or along front, precipitation is usually more wide-spread LAKE-EFFECT 18 Nov UTC LAKE-ENHANCED 17 Dec UTC SYNOPTIC 6 Dec UTC

METHODS: Lake-effect, Lake-enhanced, & Synoptic % % %

METHODS: Dendritic Growth Zone (defined by T: -12°C to -18°C) Pressure (hPa) Temperature (°C) °C -12°C DGZ-b DGZ-a KBUF 7 December UTC

RESULTS: Base Height of DGZs N=653

RESULTS: Depth of DGZs

RESULTS: Mean Temperature within DGZs N=653

RESULTS: Mean Mixing Ratio in DGZs N=653

RESULTS: Mean Supersaturation (Ice) in DGZs N=653

Lake Effect DGZs reflect a dry environment with the passing of a cold front, high supersaturation values, and a short distance for dendrites to fall to the surface (low DGZ base height) Could indicate that lake-effect storms have the largest potential for rapid snowfall accumulation Lake Enhanced DGZs reflect the greatest potential for dendritic growth (largest depth). Moisture, temperature, and supersaturation values fall between those of lake-effect and synoptic storms. Synoptic DGZs reflect a moist environment with largest distances from the surface to DGZ base. Supersaturation is consistently lower than lake-effect DGZs. Seasonality During the “peak” months of the cold season, DGZ base height drops and the variability of layer depth increases Supersaturation values for all snow events generally decreases across the cold season SUMMARY