Dan Petersen Bruce Veenhuis Greg Carbin Mark Klein Mike Bodner

Slides:



Advertisements
Similar presentations
Slide 1ECMWF forecast User Meeting -- Reading, June 2006 Verification of weather parameters Anna Ghelli, ECMWF.
Advertisements

Slide 1ECMWF forecast products users meeting – Reading, June 2005 Verification of weather parameters Anna Ghelli, ECMWF.
Report of the Q2 Short Range QPF Discussion Group Jon Ahlquist Curtis Marshall John McGinley - lead Dan Petersen D. J. Seo Jean Vieux.
A Brief Guide to MDL's SREF Winter Guidance (SWinG) Version 1.0 January 2013.
SPC Potential Products and Services and Attributes of Operational Supporting NWP Probabilistic Outlooks of Tornado, Severe Hail, and Severe Wind.
Upcoming Changes in Winter Weather Operations at the Weather Prediction Center (WPC) Great Lakes Operational Meteorological Workshop Dan Petersen, Wallace.
WPC Winter Weather Desk Operations and Verification Dan Petersen Winter weather focal point Keith Brill, David Novak, Wallace Hogsett, and Mark.
Weather Prediction Center (WPC) 2014 Review Tony Fracasso Acting Science and Operations Officer Contributions by Chris Bailey, Keith Brill, Jim Hayes,
National Weather Service WFO Operations 1979 vs 2014 Steve Zubrick Science and Operations Officer (SOO) Baltimore-Washington Weather Forecast Office “Advances.
Paul Fajman NOAA/NWS/MDL September 7,  NDFD ugly string  NDFD Forecasts and encoding  Observations  Assumptions  Output, Scores and Display.
Lessons in Predictability: Part 2 The March 2009 “Megastorm” Michael J. Bodner, NCEP/HPC Camp Springs, MD Richard H. Grumm, NWS WFO State College, PA Neil.
1 HPC Winter Weather Desk Operations and Upcoming NCEP Model Changes Dan Petersen NROW Conference Nov. 4, 2009 With contributions from David Novak and.
Hydrometeorological Prediction Center HPC Medium Range Grid Improvements Mike Schichtel, Chris Bailey, Keith Brill, and David Novak.
National Centers for Environmental Prediction (NCEP) Hydrometeorlogical Prediction Center (HPC) Forecast Operations Branch Winter Weather Desk Dan Petersen.
HPC Winter Weather Desk Operations and 2011 and 2012 Winter Weather Experiments Dan Petersen Winter weather focal point with contributions from.
Univ of AZ WRF Model Verification. Method NCEP Stage IV data used for precipitation verification – Stage IV is composite of rain fall observations and.
Exploitation of Ensemble Output (and other operationally cool stuff) at NCEP HPC Peter C. Manousos NCEP HPC Science & Operations Officer
The Blizzard Discussion 1.Summary Discussion a. Medium Range Issues (Days 4-7) b. Short-Range Issues c. Ensemble trends d. Upstream differences.
Ensemble Post-Processing and it’s Potential Benefits for the Operational Forecaster Michael Erickson and Brian A. Colle School of Marine and Atmospheric.
The March 01/02 Non-Winter Weather Event: Part 1 Michael W. Cammarata Anthony W. Petrolito.
National Weather Service Hydrometeorological Prediction Center Post-Tropical Cyclone Sandy Rain, Snow, and Inland Wind Impacts David Novak Jim Hoke, Wallace.
Hydrometeorological Prediction Center
Phillip Bothwell Senior Development Meteorologist-Storm Prediction Center 3 rd Annual GOES-R GLM Science Meeting Dec. 1, 2010 Applying the Perfect Prog.
COSMO GM2013.E.Astakhova,D.Alferov,A.Montani,etal The COSMO-based ensemble systems for the Sochi 2014 Winter Olympic Games: representation and use of EPS.
HMT-WPC W INTER W EATHER E XPERIMENT January 12 – February 13, 2015 College Park, MD.
How can LAMEPS * help you to make a better forecast for extreme weather Henrik Feddersen, DMI * LAMEPS =Limited-Area Model Ensemble Prediction.
Overview of the Hydrometeorological Prediction Center Precipitation/Flash Flood Products/Services Michael Eckert
Improving Ensemble QPF in NMC Dr. Dai Kan National Meteorological Center of China (NMC) International Training Course for Weather Forecasters 11/1, 2012,
© Crown copyright Met Office Probabilistic turbulence forecasts from ensemble models and verification Philip Gill and Piers Buchanan NCAR Aviation Turbulence.
P1.85 DEVELOPMENT OF SIMULATED GOES PRODUCTS FOR GFS AND NAM Hui-Ya Chuang and Brad Ferrier Environmental Modeling Center, NCEP, Washington DC Introduction.
Hydrometeorological Prediction Center HPC Experimental PQPF: Method, Products, and Preliminary Verification 1 David Novak HPC Science and Operations Officer.
Recent Advancements from the Research-to-Operations (R2O) Process at HMT-WPC Thomas E. Workoff 1,2, Faye E. Barthold 1,3, Michael J. Bodner 1, David R.
Predictability of High Impact Weather during the Cool Season over the Eastern U.S: CSTAR Operational Aspects Matthew Sardi and Jeffrey Tongue NOAA/NWS,
Probabilistic Forecasts of Extreme Precipitation Events for the U.S. Hazards Assessment Kenneth Pelman 32 nd Climate Diagnostics Workshop Tallahassee,
Ensembles and Probabilistic Prediction. Uncertainty in Forecasting All of the model forecasts I have talked about reflect a deterministic approach. This.
Exploring Multi-Model Ensemble Performance in Extratropical Cyclones over Eastern North America and the Western Atlantic Ocean Nathan Korfe and Brian A.
An Overview of HPC Winter Weather Guidance for Three Warning Criteria Snowfall Events That Occurred During the Winter Season. A Review of the.
Weather Prediction Center (WPC) Winter Weather Desk Operations Dan Petersen, Mike Bodner, Mark Klein, Chris Bailey, Dave Novak.
Verification of operational seasonal forecasts at RA-VI Regional Climate Center South East European Virtual Climate Change Centre Goran Pejanović Marija.
Weather Prediction Center 2015 NCEP Production Suite Review December 7, 2015 Mark Klein Science and Operations Officer Contributions by David Novak, Kathy.
Predicting Intense Precipitation Using Upscaled, High-Resolution Ensemble Forecasts Henrik Feddersen, DMI.
The Quantitative Precipitation Forecasting Component of the 2011 NOAA Hazardous Weather Testbed Spring Experiment David Novak 1, Faye Barthold 1,2, Mike.
Raising the Forecast Bar: Can the Forecast Community Keep Up With Rising Expectations? “Where America’s Climate, Weather and Ocean Services Begin” Dr.
Encast Global forecasting.
Medium Range Forecasting at the Weather Prediction Center (WPC) –
Xuexing Qiu and Fuqing Dec. 2014
A few examples of heavy precipitation forecast Ming Xue Director
LEPS VERIFICATION ON MAP CASES
Enhanced Hazardous Weather Outlook
Hydrometeorological Predication Center
Update on the Northwest Regional Modeling System 2013
TAIWIN model verification task
Ensembles and Probabilistic Prediction
Antecedent Environments Conducive to the Production of Extreme Temperature and Precipitation Events in the United States Andrew C. Winters, Daniel Keyser,
NOAA/National Weather Service Taunton, MA
Weather Prediction Center (WPC) Winter Weather Desk Operations
Use of TIGGE Data: Cyclone NARGIS
A Review of the CSTAR Ensemble Tools Available for Operations
The November 26, 2014 banded snowfall case in southern NY
FORECASTING EASTERN US WINTER STORMS Are We Getting Better and Why?
Communicating Uncertainty via Probabilistic Forecasts for the January 2016 Blizzard in Southern New England Frank M Nocera, Stephanie L. Dunten & Kevin.
Winter storm forecast at 1-12 h range
Post Processing.
The Importance of Reforecasts at CPC
Real-time WRF EnKF 36km outer domain/4km nested domain D1 (36km)
Cliff Mass and David Ovens
Christoph Gebhardt, Zied Ben Bouallègue, Michael Buchhold
42h forecast HIRLAM 50km 24h accumulated precipitation.
Verification of Tropical Cyclone Forecasts
Ryan Kang, Wee Leng Tan, Thea Turkington, Raizan Rahmat
Presentation transcript:

Weather Prediction Center (WPC) Winter Weather Desk Operations Changes for 2017 - 2018 Season Dan Petersen Bruce Veenhuis Greg Carbin Mark Klein Mike Bodner February 23-25, 2017

Weather Prediction Center (WPC) Winter Weather Desk Operations Outline Describe changes in WPC snow & ice ensemble forecasts that go into Probabilistic Winter Precipitation Forecast generation (PWPF) Explain why there was a decrease in the models used in the forecast Explain changes in forecast generation and collaboration timelines Describe use of WPC Watch Collaborator and new interface Discuss 2016-17 forecast verification for snow

Winter Weather Desk Overview (Internal Content) http://www.wpc.ncep.noaa.gov/wwd/internal Deterministic 6-hour forecasts for snow/sleet & freezing rain Snow to liquid ratio grids & graphics Watch Collaborator maps and loops WPC/National Digital Forecast Database difference fields

Winter Weather Desk Overview (Public Content) http://www.wpc.ncep.noaa.gov/ 24-hr probabilities for snow/sleet & freezing rain computed from deterministic forecast and ensemble spread Days 4-7 probabilities for snow/sleet 0.25” Ensemble surface low tracks Heavy snow/freezing rain discussion      (QPFHSD)

2017-18 Changes to Probabilistic Snow & Ice Forecasts http://origin.wpc.ncep.noaa.gov/wwd/winter_wx.shtml

Snow Verification Roebber Performance Diagram Frequency Bias = High bias # of forecast events # of observed events Low bias

Roebber Performance Diagram Threat Score = Hits Hits + Misses + False Alarms

CONUS Snow Verification: Nov. 2016 - Jan 2017 Bias More Skill Based on CoCoRaHS and Coop snow Obs Case Count = 639379 Event Count = ~ 1290 SREF ARW ECMWF Ensembles

Improved Resolution and Snow Level Calculations Old - 70 Members New - 46 Members 90th Percentile Forecasts Valid: 12 UTC Feb. 7, 2017 (Arrows show higher resolution and use of snow level for each member leading to improved depiction of snow in terrain.)

Changes in Ensemble Membership The High Resolution Ensemble WRF-ARW member 2 - operational November 1, 2017 WRF ARW & NMMB arrive before the 00z/12z GFS arrives allowing 3 additional high resolution windows on day 1 forecast WPC probabilities will incorporate the last 2 cycles (00z and 12z) 3 members X 2 cycles = 6 members

Changes in Ensemble Membership Ensemble Membership (day shift example) Sept. 2016-May 2017 Nov. 2017 Changes in Ensemble Membership Ensemble Membership (day shift example)  6 SREF ARW (09z)  9 SREF NMMB (09z) 10 ECMWF Ensemble (00z) 10 GFS Ensemble Members (06z)  4 ARW Hires Window (00z/12z) Day 1 or GFS (06z)/SREF NMMB Day 2,3  2 NMB Hires Window (00z/12z) Day 1 or GFS (00z)/SREF NMMB Day 2,3  1 GFS 12z  1 ECMWF Deterministic (00z)  1 NAM Nest (Days 1-2) or NAM 12 km (Day 3) (12z)  1  GEFS Ensemble Mean (06z) 45 Total Members  1     WPC Deterministic 46 Total Members For PWPF 26 SREF (all ARW/NMMB members) 25 ECMWF Ensemble 00z (randomly chosen) 10 GFS Ensemble Members 06z 1 CMC 00z 1 ECMWF Ens Mean 00z 1 00Z ARW Hires Window (00z GFS on Day 2) 1 00Z NMMB Hires Window (06z GFS on Day 2) 1 GFS 12z 1 ECMWF Deterministic 00z 1 NAM Nest 12z (Day 1-2), NAM 12km Day 3 1 GEFS Ensemble Mean 06z 69 Total Members 1 WPC Deterministic 70 total members for PWPF

WPC Watch Collaborator Probability of Exceeding WFO Snow and Ice Watch Criteria NEW http://www.wpc.ncep.noaa.gov/wwd/internal/watchcollab/watch_collaborator.php

WPC Watch Collaborator Probability of Exceeding WFO Snow and Ice Watch Criteria Summary Graphic 30 percent probability occurring at least 1 time period Freezing rain criteria met Snow criteria met

WPC Watch Collaborator Probability of Exceeding WFO Snow and Ice Watch Criteria Loop of 24h freezing rain probabilities in 6-hr time steps. Jan. 15-16, 2017

WPC Watch Collaborator Probability of Exceeding WFO Snow and Ice Watch Criteria Loop of 24h snow probabilities in 6-hr time steps. Mar 14-16, 2017

WPC Forecast Operations 2017-18    Display of Trends in Watch Collaborator Probabilities (date to be announced) positive Increasing variance means less trust in trend. negative   Left: How many of the last 3 cycles have probabilities >=30 percent of exceeding watch criteria? Center: What is the trend (increasing or decreasing) over last 2 cycles of watch collaborator probabilities? Right: How much variance has there been in watch probabilities (magnitude of change)?

WPC Forecast Operations 2017-18     Ensemble Membership, November 2017 Day shift example 2045z Post Collaboration*        02z Update*  6 SREF ARW (09z)  9 SREF NMMB (09z) 10 GFS Ensemble Members (06z) 10 ECMWF Ensemble (00z)  1 GFS (12z)  1 NAM Nest (Days 1-2) or NAM (Day 3) (12z)  4 ARW Hires Window (00z/12z) Day 1 or GFS (06z)/SREF NMMB Day 2,3  2 NMB Hires Window (00z/12z) Day 1 or GFS (00z)/SREF NMMB Day 2,3  1 ECMWF Deterministic (00z)  1  GEFS Ensemble Mean (06z) 45 Total Members  1     WPC Deterministic 46 Total Members For PWPF * Add 12 hours for 0845z and 1400z Post Collaboration and Update times.  6 SREF ARW (21z)  9 SREF NMMB (21z) 10 GFS Ensemble Members (18z) 10 ECMWF Ensemble (12z)  1 GFS (18z)  1 NAM Nest (Days 1-2) or NAM (Day 3) (18z)  4 ARW Hires Window (00z/12z) Day 1 or GFS (12z)/SREF NMMB Day 2,3  2 NMB Hires Window (00z/12z) Day 1 or GFS (06z)/SREF NMMB Day 2,3  1 ECMWF Deterministic (12z)  1 GEFS Ensemble Mean (18z) 45 Total Members  1     WPC Deterministic 46 Total Members For PWPF

Winter Weather Desk - Day Shift Forecast Product Timeline         PWPF = Probabilistic Winter Precipitation Forecast Prelim PWPF and watch collaborator available Updated PWPF and watch collaborator available Final PWPF and watch collaborator available Post collaborated grids sent Deadline for deterministic snow/ice updates Prelim snow/ice grids sent   1730z 1800z 2015z 2045z 0100z 0200z WPC/WFO collaboration (chats,calls) Additional collaboration (event driven) No further collaboration (no sn/zr updates)

    WPC Deterministic Snow Verification      Day 1 Snow 2016-17 Over the CONUS https://www.nohrsc.noaa.gov/ Frequency bias  automated ensemble (green) vs. winter weather desk (red) Threat score automated ensemble (green) vs. winter weather desk (red) Automated Ensemble (WSE): NAM + GFS + ECMWF + SREF + GEFS + ECMWF* + WRF ARW + NMMB + Canadian Global * partial membership

    WPC Deterministic Snow Verification      Day 2 Snow 2016-17 Over the CONUS https://www.nohrsc.noaa.gov/ Frequency bias  automated ensemble (green) vs. winter weather desk (red) Threat score automated ensemble (green) vs. winter weather desk (red) Automated Ensemble (WSE): NAM + GFS + ECMWF + SREF + GEFS + ECMWF* + WRF ARW + NMMB + Canadian Global * partial membership

    WPC Deterministic Snow Verification      Day 3 Snow 2016-17 Over the CONUS https://www.nohrsc.noaa.gov/ Frequency bias  automated ensemble (green) vs. winter weather desk (red) Threat score automated ensemble (green) vs. winter weather desk (red) Automated Ensemble (WSE): NAM + GFS + ECMWF + SREF + GEFS + ECMWF* + WRF ARW + NMMB + Canadian Global * partial membership

Freezing Rain Case Verification 07-08 Feb 2017 Icing amounts higher than forecast across interior eastern NY and MA

WPC Winter Weather Desk Operations Summary of Changes Improvements in probabilistic products, with snow level calculation added and members run at 5 km resolution Reduced SREF ARW & ECMWF members for 2017-18 due to bias and resolution issues, respectively Number of high resolution window forecasts increases from 2 to 6 Watch Collaborator probabilities now updated by 14z/02z WPC deterministic forecasts now issued at 1730z and 0530z New Watch Collaborator trend tools maps coming soon Freezing rain accumulations verified using ASOS freezing rain sensor

Questions or Comments? Thank You! Winter Weather Desk (301)683-0784 Dan.Petersen@noaa.gov

Verification of Model/Ensemble Surface Low Forecasts

WPC Probability Forecast Verification Winter 2016-17 Snow Prob 4” Observed Frequency vs Predicted Probability Day 1 Day 2 Under forecast Over forecast