An Investigation of Model-Simulated Band Placement and Evolution in the 25 December 2002 Northeast U.S. Banded Snowstorm David Novak NOAA/ NWS Eastern.

Slides:



Advertisements
Similar presentations
Forecasting Heavy Precipitation Associated with Cool-season 500-hPa Cutoff Cyclones in the Northeast Melissa Payer, Lance F. Bosart, Daniel Keyser Department.
Advertisements

March 30, 2003 A Poorly Forecast Frontogenetically Forced Early Spring Snowstorm.
Genesis of Hurricane Julia (2010) from an African Easterly Wave Stefan Cecelski 1 and Dr. Da-Lin Zhang Department of Atmospheric and Oceanic Science, University.
Niels Woetmann Nielsen Danish Meteorological Institute
Potential vorticity and the dynamic tropopause
Correlations between observed snowfall and NAM “banded snowfall” forecast parameters Mike Evans and Mike Jurewicz WFO BGM.
The Impact of Ice Microphysics on the Genesis of Hurricane Julia (2010) Stefan Cecelski 1 and Dr. Da-Lin Zhang Department of Atmospheric and Oceanic Science.
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.
An Overview of Environmental Conditions and Forecast Implications of the 3 May 1999 Tornado Outbreak Richard L. Thompson and Roger Edwards Presentation.
A Compare and Contrast Study of Two Banded Snow Storms Part I – January 6 th, 2002.
Anticipating Mesoscale Band Formation in Winter Storms David Novak, Jeff Waldstreicher NWS Eastern Region, Scientific Services Division, Bohemia, NY Lance.
An Unusual Pathway to Oceanic Cyclogenesis Linking “Perfect Storms” in the North Atlantic Ocean Jason M. Cordeira and Lance F. Bosart Department of Earth.
Upper-level Mesoscale Disturbances on the Periphery of Closed Anticyclones Thomas J. Galarneau, Jr. and Lance F. Bosart University at Albany, State University.
300 hPa height (solid, dam), wind speed (shaded, m s −1 ), 300 hPa divergence (negative values dashed, 10 −6 s −1 ) n = 22 MSLP (solid, hPa),
Strong Polar Anticyclone Activity over the Northern Hemisphere and an Examination of the Alaskan Anticyclone Justin E. Jones, Lance F. Bosart, and Daniel.
A High-Resolution Climatology and Composite Study of Mesoscale Band Evolution within Northeast U. S. Cyclones David Novak NOAA/ NWS Eastern Region Headquarters,
CONVECTION IN TROPICAL CYCLONES John Molinari and David Vollaro University at Albany, SUNY Northeast Tropical Conference Rensselaerville, NY June 2009.
Assessing the Predictability of Band Formation and Evolution during Three Recent Northeast U.S. Snowstorms David R. Novak NOAA/ NWS Eastern Region Headquarters,
Potential Vorticity (PV) as a Tool in Forecasting
Maintenance of a Mesoscale Convective System over Lake Michigan Nicholas D. Metz and Lance F. Bosart Department of Earth and Atmospheric Sciences University.
United States Coast Guard 1985 Evaluation of a Multi-Model Storm Surge Ensemble for the New York Metropolitan Region Brian A. Colle Tom Di Liberto Stony.
Use of the Nondivergent Wind for Diagnosing Banded Precipitation Systems Thomas J. Galarneau, Jr., and Daniel Keyser Department of Earth and Atmospheric.
Hurricane Juan (2003): A Diagnostic and Compositing Study Ron McTaggart-Cowan 1, Eyad Atallah 2, John Gyakum 2, and Lance Bosart 1 1 University of Albany,
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.
High-Resolution Simulations of the 25 December 2002 Banded Snowstorm using Eta, MM5, and WRF David Novak NOAA/ NWS Eastern Region Headquarters, Scientific.
Predecessor Rain Events in Tropical Cyclones Matthew R. Cote 1, Lance F. Bosart 1, Daniel Keyser 1, and Michael L. Jurewicz, Sr 2 1 Department of Earth.
Upper-Level Precursors Associated with Subtropical Cyclone Formation in the North Atlantic Alicia M. Bentley, Daniel Keyser, and Lance F. Bosart University.
Some Preliminary Modeling Results on the Upper-Level Outflow of Hurricane Sandy (2012) JungHoon Shin and Da-Lin Zhang Department of Atmospheric & Oceanic.
Coastal Meteorology and Atmospheric Prediction (COMAP) Research at Stony Brook University Michael Erickson, Brian A. Colle, Sara Ganetis, Nathan Korfe,
Multiscale Analyses of Tropical Cyclone-Midlatitude Jet Interactions: Camille (1969) and Danny (1997) Matthew S. Potter, Lance F. Bosart, and Daniel Keyser.
High-resolution Observations and Model Simulations of the Life Cycle of an Intense Mesoscale Snowband over the Northeastern United States Reporter: Prudence.
Quasi-geostrophic omega analyses John Gyakum ATOC-541 January 4, 2006.
13th Cyclone Workshop 25 October 2005 Pacific Grove, CA1 A Study of the Effect of Horizontal Contrasts in Static Stability on Frontal Behavior Mark T.
Where PV2 >> PV1 (so PV1 / PV2 is nearly zero) Low-to-mid tropospheric PV generated by diabatic heating is dominant over PV generated due to near surface.
1 IPV and the Dynamic Tropopause John W. Nielsen-Gammon Texas A&M University
COMET Feb. 20, 2002 IPV and the Dynamic Tropopause John W. Nielsen-Gammon1 Outline PV basics Seeing the world through PV Waves and vortices Nonconservation.
The quasi-geostrophic omega equation (see Bluestein, Volume I; eq (  2 + (f 0 2 /  )  2 /∂p 2 )  = (-f 0 /  )  /  p{-v g  p (  g + f)}
Figure sec mean topography (m, shaded following scale at upper left) of the Intermountain West and adjoining regions,
Potential Vorticity (PV) Thinking in Operations: The Utility of Nonconservation Michael J. Brennan*, Gary M. Lackmann, and Kelly M. Mahoney Department.
The “Ambrose” (New York Bight) Jet: Climatology and Simulations of Coastally Enhanced Winds Brian A. Colle School of Marine and Atmospheric Sciences, Stony.
Tropical Transition in the Eastern North Pacific: Sensitivity to Microphysics Alicia M. Bentley ATM May 2012.
Nicola Patmore & Ralf Toumi (contact: Space and Atmospheric Physics Group, Imperial College London Abstract A Tropopause.
Dynamic tropopause analysis; What is the dynamic tropopause?
Upper-Level Precursors Associated with Subtropical Cyclone Formation in the North Atlantic Alicia M. Bentley University at Albany, SUNY Cyclone Research.
Ensemble variability in rainfall forecasts of Hurricane Irene (2011) Molly Smith, Ryan Torn, Kristen Corbosiero, and Philip Pegion NWS Focal Points: Steve.
An Investigation of the Mesoscale Predictability over the Northeast U.S.        Brian A. Colle, Matthew Jones, and Joseph Olson Institute for Terrestrial.
A High-Resolution Observational Climatology and Composite Study of Mesoscale Band Evolution within Northeast U.S. Cyclones David Novak NOAA/NWS Hydrometeorological.
Manual PV modifications; a measure of forecaster's expertise Karine Maynard, Philippe Arbogast CNRM/GAME, Météo-France/CNRS, Toulouse, France.
Contrasting potential vorticity structures in two summer extratropical cyclones Oscar Martínez-Alvarado NCAS-Atmospheric Physics Sue Gray John Methven.
Deep Convection, Severe Weather, and Appalachian Lee/Prefrontal Troughs Daniel B. Thompson, Lance F. Bosart and Daniel Keyser Department of Atmospheric.
Upper-Level Precursors Associated with Subtropical Cyclone Formation in the North Atlantic Alicia M. Bentley, Daniel Keyser, and Lance F. Bosart University.
Page 1© Crown copyright 2006 Boundary layer mechanisms in extra-tropical cyclones Bob Beare.
Fuzzy Cluster Analysis Investigating Wavebreaking in the Tropics Philippe P. Papin Team Torn Meeting – April 15, 2015 Department of Atmospheric and Environmental.
Relationships between Large-Scale Regime Transitions and Major Cool-Season Precipitation Events in the Northeast U.S. Heather M. Archambault Daniel Keyser.
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.
Impact of the representation of the stratosphere on tropospheric weather forecasts Sana Mahmood © Crown copyright 07/0XXX Met Office and the Met Office.
PV Thinking and the Dynamic Tropopause
Subtropical Potential Vorticity Streamer Formation and Variability in the North Atlantic Basin Philippe Papin, Lance F. Bosart, Ryan D. Torn University.
Matt Vaughan Class Project ATM 621
850 hPa Chart Image from
SO254 Extratropical cyclones
Variations in Raindrop Concentration and Size Distribution on the Olympic Peninsula during the Nov Heavy Rain Event Parsivel-2 Disdrometer at the.
A Compare and Contrast Study of Two Banded Snow Storms
Alan F. Srock and Lance F. Bosart
High Resolution Simulations of Floyd (1999): Structural Evolution and Responsible Mechanisms for the Heavy Rainfall over the Northeast U.S.   
North Carolina State University, Raleigh, North Carolina
The November 26, 2014 banded snowfall case in southern NY
Potential Vorticity (PV) as a Tool in Forecasting
Intro. to Meteorological Analysis– MT 2230 Plymouth State University
Presentation transcript:

An Investigation of Model-Simulated Band Placement and Evolution in the 25 December 2002 Northeast U.S. Banded Snowstorm David Novak NOAA/ NWS Eastern Region Headquarters, Scientific Services Division, Bohemia, New York Stony Stony Brook University, State University of New York, Stony Brook, New York Brian Colle Stony Brook University, State University of New York, Stony Brook, New York Daniel Keyser University at Albany, State University of New York, Albany, New York

Previous Work Compare Eta, MM5, and WRF forecasts to observations –Models initialized with EDAS at 0000 UTC 25 Dec 2002 –36/12/4 km one-way nest for MM5/WRF ModelSSTConvectionPBLMicro- physics Eta BMJMYJFerrier MM5 v3.4.0 NavyGrellMRFSimple Ice (3 class) WRF v2.0.3 NavyGrell–DevenyiMRFWSM-3

MSLP Time Series

12 km MM5 12 km WRF Simulated Radar Reflectivity (shaded, dBZ) 700-hPa height (thick solid, m) 700-hPa 2D Miller Frontogenesis (thin solid, °C 100 km -1 h -1 ) 1800 UTC

12 km MM5 12 km WRF Simulated Radar Reflectivity (shaded, dBZ) 700-hPa height (thick solid, m) 700-hPa 2D Miller Frontogenesis (thin solid, °C 100 km -1 h -1 ) 2000 UTC

12 km MM5 12 km WRF Simulated Radar Reflectivity (shaded, dBZ) 700-hPa height (thick solid, m) 700-hPa 2D Miller Frontogenesis (thin solid, °C 100 km -1 h -1 ) 2200 UTC

12 km MM5 12 km WRF Simulated Radar Reflectivity (shaded, dBZ) 700-hPa height (thick solid, m) 700-hPa 2D Miller Frontogenesis (thin solid, °C 100 km -1 h -1 ) 0000 UTC

4 km MM5 4 km WRF 700-hPa 2D Miller Frontogenesis (shaded, °C 100 km -1 h -1 ) 700-hPa temperature (thick solid, C) 700-hPa wind barbs 2000 UTC

Motivation Why did the MM5 and WRF models forecast the band too far to the southeast? –Is the deformation/frontogenesis farther northwest? Can the modeled sharp 700-hPa trough and attendant intense frontogenesis be verified? What accounts for the different band evolution forecasts in the WRF and MM5? –MM5: one single band that dissipates early –WRF: correct event length but two separate bands

Analyses and Observations RUC and EDAS used for analysis, with supplemental tropospheric observations DatasourceVariablesInstrument Error NOAA ProfilesWind1 kt; 3 degrees WSR-88D VADWindSituationally dependent MDCRSWind, Temp3–5 kt, 5 degrees AnalysisResolutionTechnique RUC20 kmOI EDAS12 km3-D VAR

Analyses and Observations 18 UTC RUC 700 mb Height (red, 15 m) 700 mb Temp (shaded, 2°C) Analysis Winds (white barb) Observed Winds (black barb)

RUC vs. EDAS 18 UTC RUCEDAS

Analyses and Observations 19 UTC RUC 700 mb Frontogenesis (red, °C 100 km -1 h -1 ) 700 mb Temp (shaded, 2°C) Analysis Winds (white barb) Observed Winds (black barb)

Analyses and Observations 22 UTC RUC 700 mb Frontogenesis (red, °C 100 km -1 h -1 ) 700 mb Temp (shaded, 2°C) Analysis Winds (white barb) Observed Winds (black barb)

Analyses and Observations 00 UTC RUC 700 mb Frontogenesis (red, °C 100 km -1 h -1 ) 700 mb Temp (shaded, 2°C) Analysis Winds (white barb) Observed Winds (black barb)

RUC vs. EDAS 00 UTC RUCEDAS

MM5 and WRF 19 UTC WRFMM5

MM5 and WRF 22 UTC WRFMM5

MM5 and WRF 01 UTC WRFMM5

Features of Note Sharp 700-hPa trough, attendant winds and frontogenesis can be verified Trough and associated frontogenesis farther northwest than models forecast Easterly flow forecast in WRF run over CT was not observed

Potential Vorticity High values of PV associated with –Cyclonic flow –High static stability –Low tropopause –Upper trough Low values of PV associated with –Anticyclonic flow –Low static stability –High tropopause –Upper ridge PV is the product of the –Absolute vorticity –Static stability Figures from Thorpe (1985) for Northern Hemisphere Slide courtesy Dr. Mike Brennen (NCSU)

Dynamic Tropopause 12 UTC MM5WRF Pressure and winds on the PV=2 PVU surface (shaded)

Dynamic Tropopause 15 UTC MM5WRF

Dynamic Tropopause 16 UTC MM5WRF

Dynamic Tropopause 17 UTC MM5WRF

Dynamic Tropopause 18 UTC MM5WRF

Dynamic Tropopause 19 UTC MM5WRF

Dynamic Tropopause 20 UTC MM5WRF

Dynamic Tropopause 21 UTC MM5WRF

Dynamic Tropopause 22 UTC MM5WRF

Dynamic Tropopause 23 UTC MM5WRF

Dynamic Tropopause 00 UTC MM5WRF

Dynamic Tropopause 01 UTC MM5WRF

Dynamic Tropopause 02 UTC MM5WRF

PV generated below level of maximum heating –Warming increases static stability –Pressure falls  convergence  increases absolute vorticity PV+ PV- PV and Latent Heating Opposite occurs above level of maximum heating where PV is reduced PV growth rate determined by vertical gradient of LHR Slide courtesy Dr. Mike Brennen (NCSU)

12 UTC Model PV - Reflectivity Comparison MM5WRF Pressure/winds on the DT (shaded) and reflectivity contoured > 32 dBZ

15 UTC Model PV - Reflectivity Comparison MM5WRF

16 UTC Model PV - Reflectivity Comparison MM5WRF

17 UTC Model PV - Reflectivity Comparison MM5WRF

18 UTC Model PV - Reflectivity Comparison MM5WRF

19 UTC Model PV - Reflectivity Comparison MM5WRF

20 UTC Model PV - Reflectivity Comparison MM5WRF

21 UTC Model PV - Reflectivity Comparison MM5WRF

22 UTC Model PV - Reflectivity Comparison MM5WRF

23 UTC Model PV - Reflectivity Comparison MM5WRF

00 UTC Model PV - Reflectivity Comparison MM5WRF

PV Cross Sections 21 UTC MM5WRF

mb PV 21 UTC MM5 WRF

PV Findings Model-simulated bands appear downwind of PV filaments PV filaments appear to be created by diabatic processes occurring in southeast sector of cyclone Simulated band evolution was particularly sensitive to diabatically-generated lower- tropospheric PV anomaly over Long Island

Conclusions and Implications Southeast band position error appears to be due to a misplacement of the sharp 700-hPa trough and associated frontogenesis Although both the MM5 and WRF successfully predicted band formation, respective band evolution appears to be sensitive to convection occurring in the southeast sector of the cyclone Suggests the likelihood of banding may be more predictable than exact timing, location, and evolution

18 UTC Radar Observations

19 UTC Radar Observations

20 UTC Radar Observations

21 UTC Radar Observations

22 UTC Radar Observations