Strategies to Improve Radiation Fog Forecasting at Elmira, NY (KELM) Robert Mundschenk, Michael Evans, Michael L. Jurewicz, Sr., and Ron Murphy – WFO Binghamton,

Slides:



Advertisements
Similar presentations
Weather Conditions and Tools
Advertisements

JKL Aviation Grid Services Dusty Harbage – Aviation Program Leader Brian Schoettmer – Asst. Aviation Program Leader.
Multi-Year Examination of Dense Fog at Burlington International Airport John M. Goff NOAA/NWS Burlington, VT.
Stratus. Outline  Formation –Moisture trapped under inversion –Contact layer heating of fog –Fog induced stratus –Lake effect stratus/strato cu  Dissipation.
Centre for Atmospheric Sciences Indian Institute of Technology Delhi Hauz Khas, New Delhi – S K Dash Some Evidences of Climate Changes in India.
The Role of a Predecessor Rainfall Event (PRE) in the Devastating Floods Associated with Tropical Cyclone Agnes Michael L. Jurewicz, Sr. NOAA / NWS, Binghamton,
GOES-R Fog/Low Stratus (FLS) IFR Probability Product.
Louisville, KY August 4, 2009 Flash Flood Frank Pereira NOAA/NWS/NCEP/Hydrometeorological Prediction Center.
The Wind Chill Climatology of the WFO LSX CWA Mark F. Britt National Weather Service St. Louis, MO.
CLEARING THE AIR…..ON FOG FORECASTING FOG IN ONTARIO Bryan Tugwood Program Supervisor Ontario Storm Prediction Centre.
#4095. How much colder than standard temperature is the actual temperature at 9,000 feet, as indicated in the excerpt from the Winds and Temperature Aloft.
Lead Time Aviation Verification Onset and Cessation of Ceiling and Visibility Flight Category Conditions (IFR, MVFR, VFR) at FAA Core Airports NWS Aviation.
Correlations Between Observed Snowfall and NAM Forecast Parameters : Part 2 – Thermodynamic Considerations Michael L. Jurewicz, Sr. NOAA/NWS Binghamton,
The Inland Extent of Lake Effect Snow (LES) Bands Joseph P. Villani NOAA/NWS Albany, NY Michael L. Jurewicz, Sr. NOAA/NWS Binghamton, NY Jason Krekeler.
Forecasting the Inland Extent of Lake-Effect Snow (LES) Bands: Application and Verification for Winter Joseph P. Villani NOAA/NWS Albany, NY.
Mike Evans NOAA/NWS Binghamton, NY Barry Lambert NOAA/NWS State College, Pa.
Warm-Season Lake-/Sea-Breeze Severe Weather in the Northeast Patrick H. Wilson, Lance F. Bosart, and Daniel Keyser Department of Earth and Atmospheric.
Correlations between observed snowfall and NAM forecast parameters, Part I – Dynamical Parameters Mike Evans NOAA/NWS Binghamton, NY November 1, 2006 Northeast.
HEAVY RAIN EVENTS PRECEDING THE ARRIVAL OF TROPICAL CYCLONES Matthew R. Cote, Lance F. Bosart, and Daniel Keyser Department of Earth and Atmospheric Sciences.
Measuring Weather By: Brianna Shields November 1, 2005 By: Brianna Shields November 1, 2005.
RADIATION FOG STUDY. Office Stats 00z ELM TAF 00z ELM TAF POD for FG – 0.53 POD for FG – 0.53 FAR – 0.55 FAR – z ELM TAF 06z ELM TAF POD for FG.
Measuring Weather By: Brianna Shields November 1, 2005 By: Brianna Shields November 1, 2005.
A Climatology of Flash Flood Events in the NWS Eastern Region Alan M. Cope National Weather Service Mount Holly, New Jersey
An Examination of the Tropical System – Induced Flooding in Central New York and Northeast Pennsylvania in 2004.
4-4.3 Compare daily and seasonal changes in weather conditions (including wind speed and direction, precipitation, and temperature) and patterns.
Anticipating Structure in Lake-Effect Snow Events (Updated Results) Michael L. Jurewicz, Sr. NOAA/NWS, Binghamton, NY Justin Arnott NOAA/NWS, Gaylord,
Climatology and Predictability of Cool-Season High Wind Events in the New York City Metropolitan and Surrounding Area Michael Layer School of Marine and.
The Meteorologists of 2-1 and 2-2 Present The St. Anne’s School Farmers Almanac 2015 Edition.
An Analysis of Eta Model Forecast Soundings in Radiation Fog Forecasting Steve Amburn National Weather Service, Tulsa, OK.
ETA 6-hr fcst. Valid 18z 02/19/02 Will it rain at MEM, JAN at 00z???
Verification of the Cooperative Institute for Precipitation Systems‘ Analog Guidance Probabilistic Products Chad M. Gravelle and Dr. Charles E. Graves.
Applied Meteorology Unit 1 Using Flow Regime Lightning and Sounding Climatologies to Initialize Gridded Lightning Threat Forecasts for East Central Florida.
Low Clouds and IFR Forecasting Southwest Aviation Weather Safety Workshop, Phoenix, AZ Ken Widelski Meteorologist NWS: Lubbock, TX.
Characteristics of Extreme Events in Korea: Observations and Projections Won-Tae Kwon Hee-Jeong Baek, Hyo-Shin Lee and Yu-Kyung Hyun National Institute.
SFO APPROACH FOG STUDY Noel Keene ZOA CWSU Fremont, CA.
Ch 8: Lesson 4: How are Forecasts Made?. Collecting Data To describe a weather system, you need to describe all its parts; 1.temperature 2.moisture 3.clouds.
Weather Briefings Wisconsin Balloon Group March 11, 2006 Brad Temeyer
Hastings, Nebraska National Weather Service Considerations for TAF Composition UNK Aviation Department October 12, 2006.
Flash Flood Forecasting on a Tropical Small Island towards Disaster Preparedness – Trinidad Glendell De Souza Science & Technology Officer Caribbean Meteorological.
The Inland Extent of Lake- Effect Snow (LES) Bands Joe Villani NOAA/NWS Albany, NY Michael L. Jurewicz, Sr. NOAA/NWS Binghamton, NY Jason Krekeler State.
Winter Weather Seminar Nov 3, 2006 Fog and Stratus.
Meteorology of Winter Air Pollution In Fairbanks.
The latest results of verification over Poland Katarzyna Starosta Joanna Linkowska COSMO General Meeting, Cracow September 2008 Institute of Meteorology.
Southern Hemisphere: Weather & Climate over Major Crops Areas Update prepared by Climate Prediction Center / NCEP 8 Mar 2011 For Real-time information:
Meteorological Data Analysis Urban, Regional Modeling and Analysis Section Division of Air Resources New York State Department of Environmental Conservation.
The Similar Soundings Technique For Incorporating Pattern Recognition Into The Forecast Process at WFO BGM Mike Evans Ron Murphy.
Mike Evans NWS Binghamton, NY. Outline The checklist Example – April 28, 2011 Verification Summary / Conclusion.
The “Ambrose” (New York Bight) Jet: Climatology and Simulations of Coastally Enhanced Winds Brian A. Colle School of Marine and Atmospheric Sciences, Stony.
Lake Effect Snow Forecast Tools at NWS Gaylord, MI Part 1: The Similar Sounding Approach Justin Arnott Science and Operations Officer NWS Gaylord, MI.
Weather Forecast Office Medford, Oregon Considerations for TAF Composition Pilot’s Open House October 25, 2003.
A N EW H AMPSHIRE G ROUND -L EVEL O ZONE P OLLUTION F ORECASTING T OOL U SING M ETEOROLOGICAL C RITERIA Northeast Regional Operational Workshop Presenter:
Bay Effect Snow from the Chesapeake Bay David F. Hamrick WPC Meteorologist College Park, Maryland.
LOW CLOUDS AND IFR FORECASTING NATIONAL WEATHER SERVICE KEN WIDELSKI October 11, 2005.
Aviation Applications of Automated Aircraft Weather Data Examples from meteorologists in forecast offices Richard Mamrosh National Weather Service Green.
Satellite Interpretation & Weather Patterns West of the Cascades Clinton Rockey Aviation Meteorologist.
Describes the condition of the atmosphere such as temperature, cloud cover, wind speed, and rainfall.
IBIS Weather generator
Antecedent Environments Conducive to the Production of Extreme Temperature and Precipitation Events in the United States Andrew C. Winters, Daniel Keyser,
Forecasting Lake Effect Snow Storms
Model Post Processing.
The November 26, 2014 banded snowfall case in southern NY
Michael L. Jurewicz, Sr. and Christopher Gitro
Warm Season Flash Flood Detection Performance at WFO Binghamton
Post Processing.
Weather, Climate & Society ATMO 336 Climate vs. Weather
total rainfall per season: pie chart
Validation for TPW (PGE06)
Thunderstorm Ceiling/Visibility Climatology
Outline Large-scale / meso-scale pattern Precipitation type forecasts
Low cloud and poor visibility FAOR South African Weather Service
Presentation transcript:

Strategies to Improve Radiation Fog Forecasting at Elmira, NY (KELM) Robert Mundschenk, Michael Evans, Michael L. Jurewicz, Sr., and Ron Murphy – WFO Binghamton, NY Aviation Sub-Regional Workshop September 16, 2008

Outline Motivation Motivation Methodology Methodology Study Results Study Results A New Forecaster Tool A New Forecaster Tool Summary Summary

Motivation for Research KELM experiences radiation fog frequently with resultant IFR / LIFR / VLIFR conditions KELM experiences radiation fog frequently with resultant IFR / LIFR / VLIFR conditions Historically, this has been a challenging site for aviation forecasters Historically, this has been a challenging site for aviation forecasters –Unexpected dense fog development –Overly pessimistic forecasts (lighter fog than expected)

Favorable Location for Fog KELM Chemung River Valley

Methodology Fog Season - April 1 st through November 1 st Fog Season - April 1 st through November 1 st Compile a list of dates with clear skies and light winds Compile a list of dates with clear skies and light winds –3 Full Seasons worth of data ( ) Minimum observed visibilities and time durations of IFR conditions were tabulated Minimum observed visibilities and time durations of IFR conditions were tabulated –Many parameters thought to be pertinent to fog formation were tabulated NAM Boundary layer wind, lapse rate and RH forecasts NAM Boundary layer wind, lapse rate and RH forecasts Observed minimum temperatures Observed minimum temperatures Observed Cross-over temperature Observed Cross-over temperature Observed Chemung River temperatures Observed Chemung River temperatures Amount of recent rainfall, if any Amount of recent rainfall, if any Time of year (month) Time of year (month)

Results Most reliable indicators of low visibilities (dense fog): Most reliable indicators of low visibilities (dense fog): Light wind speeds (< 13 kts) around 950 mb (700 feet AGL) from NAM BUFKIT soundings Light wind speeds (< 13 kts) around 950 mb (700 feet AGL) from NAM BUFKIT soundings Overnight low temperature colder than the cross-over temperature Overnight low temperature colder than the cross-over temperature Large differences between the observed Chemung River temperatures and the minimum air temperature (air temperature at least 20 degree F colder than the river temperature). Large differences between the observed Chemung River temperatures and the minimum air temperature (air temperature at least 20 degree F colder than the river temperature). Heavy rain during the period 4 to 10 days prior to the event in question Heavy rain during the period 4 to 10 days prior to the event in question Model low-level RH and lapse rate correlated weakly with fog occurrence Model low-level RH and lapse rate correlated weakly with fog occurrence

Composite MSLP for Dense Fog Cases at 0600 UTC

Composite MSLP for Lighter Fog Cases (BR) at 0600 UTC

Composite 850 mb for Dense Fog Cases at 0600 UTC

Composite 850 mb for Lighter Fog Cases (BR) at 0600 UTC

A New Forecaster Tool Based on study results, a “pattern recognition” tool was developed Based on study results, a “pattern recognition” tool was developed –Data inputs from BUFKIT soundings, observed data and forecaster input –Help forecasters better differentiate between favorable and unfavorable nights for fog formation –Provides links to past events that most closely match the set of expected conditions

A New Forecaster Tool

Final Thoughts This tool allows forecasters to use pattern recognition to forecast fog This tool allows forecasters to use pattern recognition to forecast fog The tool promotes a probabilistic approach to fog forecasting The tool promotes a probabilistic approach to fog forecasting Similar tools can be developed for other TAF sites Similar tools can be developed for other TAF sites Verification will be done next summer Verification will be done next summer We still need to know more about what parameters can help us to forecast fog We still need to know more about what parameters can help us to forecast fog