Matthew Vaughan, Brian Tang, and Lance Bosart Department of Atmospheric and Environmental Sciences University at Albany/SUNY Albany, NY 12222 NROW XV Nano-scale.

Slides:



Advertisements
Similar presentations
Cool-Season High Winds in the Northeast U.S. Jonas V. Asuma, Lance F. Bosart, Daniel Keyser Department of Atmospheric and Environmental Sciences University.
Advertisements

Climatological Aspects of Ice Storms in the Northeastern U.S. Christopher M. Castellano, Lance F. Bosart, and Daniel Keyser Department of Atmospheric and.
ounding nalog etrieval ystem Ryan Jewell Storm Prediction Center Norman, OK SARS Sounding Analog Retrieval System.
Characteristics of Upslope Snowfall Events in Northern New York State and Northern Vermont Diagnostics and Model Simulations of Several Northwest-Flow.
The Persistence and Dissipation of Lake Michigan-Crossing Mesoscale Convective Systems Nicholas D. Metz* and Lance F. Bosart # * Department of Geoscience,
The Effects of Lake Michigan on Mature Mesoscale Convective Systems Nicholas D. Metz and Lance F. Bosart Department of Atmospheric and Environmental Sciences.
Ounding nalog etrieval ystem Ryan Jewell Storm Prediction Center Norman, OK SARS Sounding Analog Retrieval System.
 The main focus is investigating the dynamics resulting in synoptically forced training convective rainfall  Synoptic conditions necessary for the generation.
Appalachian Lee Troughs and their Association with Severe Thunderstorms Daniel B. Thompson, Lance F. Bosart and Daniel Keyser Department of Atmospheric.
Analysis of Precipitation Distributions Associated with Two Cool-Season Cutoff Cyclones Melissa Payer, Lance F. Bosart, Daniel Keyser Department of Atmospheric.
A Multiscale Analysis of the Inland Reintensification of Tropical Cyclone Danny (1997) within an Equatorward Jet-Entrance Region Matthew S. Potter, Lance.
Northeast Convective Flash Floods: Helping Forecasters Stay Ahead of Rising Water Joe Villani - National Weather Service, Albany, NY Derek Mallia - University.
Mike Evans NOAA/NWS Binghamton, NY Barry Lambert NOAA/NWS State College, Pa.
Characteristics and Climatology of Appalachian Lee Troughs Daniel B. Thompson, Lance F. Bosart and Daniel Keyser Department of Atmospheric and Environmental.
Anticipating Mesoscale Band Formation in Winter Storms David Novak, Jeff Waldstreicher NWS Eastern Region, Scientific Services Division, Bohemia, NY Lance.
Warm-Season Lake-/Sea-Breeze Severe Weather in the Northeast Patrick H. Wilson, Lance F. Bosart, and Daniel Keyser Department of Earth and Atmospheric.
Upper-level Mesoscale Disturbances on the Periphery of Closed Anticyclones Thomas J. Galarneau, Jr. and Lance F. Bosart University at Albany, State University.
Case Studies of Warm Season Cutoff Cyclone Precipitation Distribution Jessica Najuch Department of Earth and Atmospheric Sciences University at Albany,
Strong Polar Anticyclone Activity over the Northern Hemisphere and an Examination of the Alaskan Anticyclone Justin E. Jones, Lance F. Bosart, and Daniel.
Warm-Season Lake-/Sea-Breeze Severe Weather in the Northeast Patrick H. Wilson, Lance F. Bosart, and Daniel Keyser Department of Earth and Atmospheric.
The Father’s Day 2002 Severe Weather Outbreak across New York and Western New England Thomas A. Wasula NOAA/NWS WFO at Albany.
The August 9, 2001 Lake Breeze Severe Weather Event Across New York and Western New England Thomas A. Wasula NOAA/NWS WFO at Albany.
Warm-Season Lake-/Sea-Breeze Severe Weather in the Northeast Patrick H. Wilson, Lance F. Bosart, and Daniel Keyser Department of Earth and Atmospheric.
HEAVY RAIN EVENTS PRECEDING THE ARRIVAL OF TROPICAL CYCLONES Matthew R. Cote, Lance F. Bosart, and Daniel Keyser Department of Earth and Atmospheric Sciences.
A Study of Cool Season Tornadoes in the Southeast United States Alicia C. Wasula and Lance F. Bosart University at Albany/SUNY and Russell Schneider, Steven.
Maintenance of a Mesoscale Convective System over Lake Michigan Nicholas D. Metz and Lance F. Bosart Department of Earth and Atmospheric Sciences University.
A Diagnostic Analysis of a Difficult- to-Forecast Cutoff Cyclone from the 2008 Warm Season Matthew A. Scalora, Lance F. Bosart, Daniel Keyser Department.
A Climatology of the Convective System Morphology over Northeast United States Kelly Lombardo & Brian Colle School of Marine and Atmospheric Sciences Stony.
Here a TC, There a TC, Everywhere a TC: The "Spin" on the Active Part of the North Atlantic 2008 TC Season Lance F. Bosart, Thomas J. Galarneau, Jr., and.
The Rapid Evolution of Convection Approaching New York City and Long Island Michael Charles and Brian A. Colle Institute for Terrestrial and Planetary.
Coastal Meteorology and Atmospheric Prediction (COMAP) Research at Stony Brook University Michael Erickson, Brian A. Colle, Sara Ganetis, Nathan Korfe,
Climatology and Predictability of Cool-Season High Wind Events in the New York City Metropolitan and Surrounding Area Michael Layer School of Marine and.
Multiscale Analyses of Tropical Cyclone-Midlatitude Jet Interactions: Camille (1969) and Danny (1997) Matthew S. Potter, Lance F. Bosart, and Daniel Keyser.
Comparison of the 29−30 June 2012 and 11 July 2011 Derechos: Impact of the Appalachians Matthew S. Wunsch and Ross A. Lazear Department.
Mike Evans NWS / WFO BGM. CSTAR V – Severe convection in scenarios with low-predictive skill SUNY Albany researchers are examining SPC forecasts and associated.
Appalachian Lee Troughs and their Association with Severe Thunderstorms Daniel B. Thompson, Lance F. Bosart and Daniel Keyser Department of Atmospheric.
The Uber Jet and the Widespread Disruptive Ice Storm of 21–23 December 2013 Lance F. Bosart, Alicia M. Bentley, and Philippe P. Papin Department of Atmospheric.
Synoptic and Mesoscale Conditions associated with Persisting and Dissipating Mesoscale Convective Systems that Cross Lake Michigan Nicholas D. Metz and.
Research Update 10 February 2012 Updated 15 February 2012.
An Examination of the Climatology and Environmental Characteristics of Flash Flooding in the Binghamton, New York County Warning Area Stephen Jessup M.S.
Kyle J. Pallozzi and Lance F. Bosart
The Rapid Evolution of Convection Approaching the New York City Metropolitan Region Brian A. Colle and Michael Charles Institute for Terrestrial and Planetary.
Northeast Convective Flash Floods: Helping Forecasters Stay Ahead of Rising Water Joe Villani - National Weather Service, Albany, NY Derek Mallia - University.
The Impact of the Saint Lawrence Valley on Warm Season Precipitation Distribution, Giselle C. Dookhie, John R. Gyakum, and Eyad H. Atallah Department.
An Examination of “Parallel” and “Transition” Severe Weather/Flash Flood Events Kyle J. Pallozzi and Lance F. Bosart Department of Atmospheric and Environmental.
Summer Tornadoes – NWA 2015 Statistical Severe Convective Risk Assessment Model (SSCRAM) (Hart & Cohen, 2015) SPC Mesoanalysis Data Every hour from
Tornado Warning Skill as a Function of Environment National Weather Service Sub-Regional Workshop Binghamton, New York September 23, 2015 Yvette Richardson.
Quantifying the Significance of the April 2011 Severe Weather Outbreak Matthew S. Stalley, Chad M. Gravelle, Charles E. Graves Saint Louis University.
Examining the Role of Mesoscale Features in the Structure and Evolution of Precipitation Regions in Northeast Winter Storms Matthew D. Greenstein, Lance.
NCEP CMC ECMWF MEAN ANA BRIAN A COLLE MINGHUA ZHENG │ EDMUND K. CHANG Applying Fuzzy Clustering Analysis to Assess Uncertainty and Ensemble System Performance.
An Investigation of Model-Simulated Band Placement and Evolution in the 25 December 2002 Northeast U.S. Banded Snowstorm David Novak NOAA/ NWS Eastern.
Deep Convection, Severe Weather, and Appalachian Lee/Prefrontal Troughs Daniel B. Thompson, Lance F. Bosart and Daniel Keyser Department of Atmospheric.
Analysis of Typhoon Tropical Cyclogenesis in an Atmospheric General Circulation Model Suzana J. Camargo and Adam H. Sobel.
Climatological Aspects of Freezing Rain in the Eastern U.S. Christopher M. Castellano, Lance F. Bosart, and Daniel Keyser Department of Atmospheric and.
Environmental Features Discriminating Between High Shear/Low CAPE Severe Convection and Null Events Keith Sherburn Matthew Parker North Carolina State.
Fuzzy Cluster Analysis Investigating Wavebreaking in the Tropics Philippe P. Papin Team Torn Meeting – April 15, 2015 Department of Atmospheric and Environmental.
OKX The OKX sounding at 1200 UTC has 153 J kg -1 CIN extending upwards to 800 hPa and < 500 J kg -1 CAPE. There was 41.8 mm of precipitable water. By 1400.
Challenges in Convective Storm Prediction for the Coastal-Urban New York City-Long Island Brian A. Colle 1, Kelly Lombardo 2, John Murray 3, and Harrison.
Subtropical Potential Vorticity Streamer Formation and Variability in the North Atlantic Basin Philippe Papin, Lance F. Bosart, Ryan D. Torn University.
32nd Conference on Hurricanes and Tropical Meteorology
An Investigation of the Skill of Week Two
MJO influence on severe weather synoptic conditions
Pamela Eck, Brian Tang, and Lance Bosart University at Albany, SUNY
Alan F. Srock and Lance F. Bosart
Antecedent Environments Conducive to the Production of Extreme Temperature and Precipitation Events in the United States Andrew C. Winters, Daniel Keyser,
The November 26, 2014 banded snowfall case in southern NY
Warm Season Flash Flood Detection Performance at WFO Binghamton
William Flamholtz, Brian Tang, and Lance Bosart
Differences Between High Shear / Low CAPE Environments in the Northeast US Favoring Straight-Line Damaging Winds vs Tornadoes Michael E. Main, Ross A.
Scott C. Runyon and Lance F. Bosart
Presentation transcript:

Matthew Vaughan, Brian Tang, and Lance Bosart Department of Atmospheric and Environmental Sciences University at Albany/SUNY Albany, NY NROW XV Nano-scale College South Auditorium Albany, New York Thursday 13 November 2014 Supported by the NOAA Collaborative Science, Technology and Applied Research Program

 CSTAR initiative to investigate severe convection with low predictive skill  Cooperation between SUNY-Albany and NWS offices at ALB, BGM, and PIT  Improve forecasting skill of severe convection by focusing study on environments with poor predictive skill

 Identify and evaluate poor forecast performance  Use forecasting performance as a proxy for predictability  Underlying assumption: If forecasters had trouble, the event had low predictability.

 Create Northeast domain to evaluate forecast skill  Plot SPC convective outlook contours over the domains.  Verify SLIGHT contours with storm reports  Sound familiar? Hitchens and Brooks (2012) evaluated SLIGHT contours over CONUS domain  MOD and HIGH contours were treated the same as SLIGHT

 Algorithm details  40-km grid spacing  Use 0600 UTC SLIGHT risk valid UTC  Plot all valid storm reports for forecast period  Every grid point <40km from report is designated: “hit” Legend: = False Alarm (grid) = Correct Hit (grid) = Missed report

 Analysis grid over the Northeast Legend: = False Alarm (grid) = Correct Hit (grid) = Missed report = Correct Hit (report) = Incorrect Hit (grid)

 For inclusion in the dataset, an event must meet 1 of 2 criteria:  Have a SLIGHT risk contour within the NE domain  Contain at least 20 reports within the domain Given a SLIGHT in NE, 20 reports = 55th percentile

 Event days = 1508  SLIGHT days = 1331  Events >20 reports without SLIGHT = 177

Low POD High FAR  Type 1  20+ reports;  Lowest 25 th percentile POD  Type 2  Highest 75 th percentile FA area  Lowest 25 th percentile severe report area Type 1Type 2 Type 3  No events meet Type 3 requirements as defined here

Type 1Type 2  N = 189 events  25 th POD percentile = 2.15%  All but 3 events have POD = 0  Median: 37 reports per event  Average: 50 reports per event  N = 66 events  All but 4 events have FAR > 95%  Median: 2.5 reports per event  Average: 3 reports per event

 0.5° Climate Forecast System Reanalysis (CFSR)  Chose morning (1200 UTC) for following analysis.  Type 1 centered on maximum report density  Type 2 centered at centroid of SLIGHT risk region  Chose largest of SLIGHT risk contours for composite center

Geopotential height (meters; contoured every 100 m), wind speed (knots; fill), and wind vector (knots; barbed) on the 250 hPa pressure surface. The red dot indicates event-composite center and the median location of the maximum report density. 250 hPaN=60

Geopotential height (meters; contoured every 40 m) and total wind(knots; barbed) on the 500 hPa pressure surface. The red dot indicates event-composite center and the median location of the maximum report density. 500 hPaN=60

Geopotential height (meters; contoured every 25 m), relative humidity (%; fill contoured every 5%) on the 700 hPa pressure surface. The red dot indicates event- composite center and the median location of the maximum report density. 700 hPaN=60

Geopotential height (meters; solid contour every 20 m), temperature (Celsius; dashed), and wind vector (knots; barbed) on the 850 hPa pressure surface. The red dot indicates event- composite center and the median location of the maximum report density. 850 hPaN=60

MSLP (hPa; contoured every 2 hPa), precipitable water (mm; fill), and total surface wind (knots; barbed). The red dot indicates event-composite center and the median location of the maximum report density. SurfaceN=60

hPa lapse rates (°C/km; contoured every.5 °C/km), MUCAPE (J/kg; fill), and hPa shear vector (knots; barbed). The red dot indicates event-composite center and the median location of the maximum report density. CAPE & ShearN=60

Geopotential height (meters; contoured every 100 m), wind speed (knots; fill), and wind vector (knots; barbed) on the 250 hPa pressure surface. The red dot indicates event-composite center and the median location of the centroid of the NE SLIGHT risk areas. 250 hPaN=32

Geopotential height (meters; contoured every 40 m) and total wind(knots; barbed) on the 500 hPa pressure surface. The red dot indicates event-composite center and the median location of the centroid of the NE SLIGHT risk areas. 500 hPaN=32

Geopotential height (meters; contoured every 25 m), relative humidity (%; fill contoured every 5%) on the 700 hPa pressure surface. The red dot indicates event- composite center and the median location of the centroid of the NE SLIGHT risk areas. 700 hPaN=32

Geopotential height (meters; solid contour every 20 m), temperature (Celsius; dashed), and wind vector (knots; barbed) on the 850 hPa pressure surface. The red dot indicates event- composite center and the median location of the centroid of the NE SLIGHT risk areas. 850 hPaN=32

MSLP (hPa; contoured every 2 hPa), precipitable water (mm; fill), and total surface wind (knots; barbed). The red dot indicates event-composite center and the median location of the centroid of the NE SLIGHT risk areas. SurfaceN=32

hPa lapse rates (°C/km; contoured every.5 °C/km), MUCAPE (J/kg; fill), and hPa shear vector (knots; barbed). The red dot indicates event-composite center and the median location of the centroid of the NE SLIGHT risk areas. CAPE & ShearN=32

 Assess variability in composites  Analyze deviation among cases and reassess compositing method  Compare Type 1 & Type 2 flow regimes to cases with good predictive skill scores  May extend comparison to events of similar scale  Expand composites  Investigate variables identified in Hurlbut and Cohen (2014)

 NE predictive skill  Flat POD, decreasing FAR, increasing CSI  Number of reports per event increasing  NE low predictive skill event climatology  Type 1: 5 median events per year (Trending up)  Type 2: 2 median events per year (Trending down)  Peak in warm season  Most cases with low predictive skill follow climatology except rare N-ly, S-ly flow

 Type 1 (Low POD)  Westerly Anticyclonic side of jet, relatively low humidity at 700 hPa, higher mid-level lapse rates  Type 2 (High FAR)  Westerly Anticyclonic side of jet, higher 700 hPa humidity, higher precipitable water values, more confluent 850 hPa flow