2017 - SPC Potential Products and Services and Attributes of Operational Supporting NWP Probabilistic Outlooks of Tornado, Severe Hail, and Severe Wind.

Slides:



Advertisements
Similar presentations
Ensemble Forecasting of High-Impact Weather Richard Swinbank with thanks to various, mainly Met Office, colleagues High-Impact Weather THORPEX follow-on.
Advertisements

Nowcasting and Short Range NWP at the Australian Bureau of Meteorology
Summary Human Dimensions Panel John Gaynor NOAA August 12,
Report of the Q2 Short Range QPF Discussion Group Jon Ahlquist Curtis Marshall John McGinley - lead Dan Petersen D. J. Seo Jean Vieux.
Storm Prediction Center Highlights NCEP Production Suite Review December 3, 2013 Steven Weiss, Israel Jirak, Chris Melick, Andy Dean, Patrick Marsh, and.
Integrated Regional Modeling Geoff DiMego EMC Stan Benjamin GSD Steve Weiss & Israel Jirak SPC Dave Novak & Wallace Hogsett WPC David Bright AWC, Joe Sienkiewicz.
1 NMM, ARW in NCEP Operations Pre-WRF NMM at NCEP May 2000: nonhydrostatic option released in upgrade to NCEP’s workstation EtaNCEP’s workstation Eta May.
Regional Ensembles Into 2020: A Possible Vision Geoff DiMego December 3, “Where America’s Climate, Weather, Ocean.
“Where America’s Climate, Weather and Ocean Services Begin” NCEP CONDUIT UPDATE Brent A Gordon NCEP Central Operations January 31, 2006.
Aspects of 6 June 2007: A Null “Moderate Risk” of Severe Weather Jonathan Kurtz Department of Geosciences University of Nebraska at Lincoln NOAA/NWS Omaha/Valley,
Transitioning unique NASA data and research technologies to the NWS 1 Radiance Assimilation Activities at SPoRT Will McCarty SPoRT SAC Wednesday June 13,
ESRL – Some Recommendations for Mesoscale Ensemble Forecasts Consolidate all NCEP regional storm-scale model runs perhaps under HRRRE (or other) banner.
FORECASTING EASTERN US WINTER STORMS Are We Getting Better and Why? Jeff S. Waldstreicher NOAA/NWS Eastern Region Scientific Services Division – Bohemia,
Chapter 13 – Weather Analysis and Forecasting. The National Weather Service The National Weather Service (NWS) is responsible for forecasts several times.
Evaluation and Comparison of Multiple Convection-Allowing Ensembles Examined in Recent HWT Spring Forecasting Experiments Israel Jirak, Steve Weiss, and.
Francesca Marcucci, Lucio Torrisi with the contribution of Valeria Montesarchio, ISMAR-CNR CNMCA, National Meteorological Center,Italy First experiments.
1 Ensemble Reforecasts Presented By: Yuejian Zhu (NWS/NCEP) Contributors:
1 Global Ensemble Strategy Presented By: Yuejian Zhu (NWS/NCEP) Contributors: EMC staff.
Warn on Forecast Briefing September 2014 Warn on Forecast Brief for NCEP planning NSSL and GSD September 2014.
Ensemble Numerical Prediction of the 4 May 2007 Greensburg, Kansas Tornadic Supercell using EnKF Radar Data Assimilation Dr. Daniel T. Dawson II NRC Postdoc,
1 FY10-14 Planning. 2 Vision for 2015 NOAA is closer to its customers and better able to respond to severe events. NOAA information is routinely incorporated.
Toward a 4D Cube of the Atmosphere via Data Assimilation Kelvin Droegemeier University of Oklahoma 13 August 2009.
Fly - Fight - Win 16 th Weather Squadron Evan Kuchera Fine Scale Models and Ensemble 16WS/WXN Template: 28 Feb 06 Air Force Weather Ensembles.
1 Requirements for hurricane track and intensity guidance Presented By: Vijay Tallapragada and Sam Trahan (NWS/NCEP) Contributors: HWRF Team at EMC, NHC.
How can LAMEPS * help you to make a better forecast for extreme weather Henrik Feddersen, DMI * LAMEPS =Limited-Area Model Ensemble Prediction.
1 Global Model Development Priorities Presented By: Hendrik Tolman & Vijay Tallapragada (NWS/NCEP) Contributors: GCWMB (EMC), NGGPS (NWS)
Development of an EnKF/Hybrid Data Assimilation System for Mesoscale Application with the Rapid Refresh Ming Hu 1,2, Yujie Pan 3, Kefeng Zhu 3, Xuguang.
Higher Resolution Operational Models. Operational Mesoscale Model History Early: LFM, NGM (history) Eta (mainly history) MM5: Still used by some, but.
Ensemble Forecasting and You The very basics Richard H. Grumm National Weather Service State College PA
1 DET Mesoscale Ensemble Workshop August 2010 NCEP Regional Ensemble Status and Plans Geoff DiMego and Jun Du NOAA/NWS/NCEP Environmental Modeling.
Performance of the Experimental 4.5 km WRF-NMM Model During Recent Severe Weather Outbreaks Steven Weiss, John Kain, David Bright, Matthew Pyle, Zavisa.
Higher Resolution Operational Models. Major U.S. High-Resolution Mesoscale Models (all non-hydrostatic ) WRF-ARW (developed at NCAR) NMM-B (developed.
1 Development of a convection- resolving CONUS ensemble system (aka: Warn on Forecast) Presented By: Lou Wicker (NSSL) Contributors Geoff DiMego (NCEP)
1 Coupled Modeling for Week 3 & 4 Presented By: Suru Saha & Yuejian Zhu (NWS/NCEP)
SPC Ensemble Applications: Current Status, Recent Developments, and Future Plans David Bright Storm Prediction Center Science Support Branch Norman, OK.
Using Ensemble Probability Forecasts And High Resolution Models To Identify Severe Weather Threats Josh Korotky NOAA/NWS, Pittsburgh, PA and Richard H.
The EnKF Analyses and Forecasts of the 8 May 2003 Oklahoma City Tornadic Supercell Storm By Nusrat Yussouf 1,2 Edward Mansell 2, Louis Wicker 2, Dustan.
1 Extratropical Storm Surge Modeling Presented By: Jesse Feyen (NOS/OCS, Storm Surge Roadmap) Contributors:
Phillip Bothwell Southern Thunder 2011 Workshop July 13, 2011 Multi-Model Lightning Prediction.
NOAA Hazardous Weather Test Bed (SPC, OUN, NSSL) Objectives – Advance the science of weather forecasting and prediction of severe convective weather –
TimeDays Outlooks Adapted from Dr. Heather Lazrus (SSWIM) and Lans Rothfusz FACETs: Forecasting A Continuum of Environmental Threats Space Regional State.
INFORMATION EXTRACTION AND VERIFICATION OF NUMERICAL WEATHER PREDICTION FOR SEVERE WEATHER FORECASTING Israel Jirak, NOAA/Storm Prediction Center Chris.
An Examination of “Parallel” and “Transition” Severe Weather/Flash Flood Events Kyle J. Pallozzi and Lance F. Bosart Department of Atmospheric and Environmental.
Jidong Gao, Kristin Kuhlman, Travis Smith, David Stensrud 3DVAR Storm-scale assimilation in real- time.
Convective-Scale Numerical Weather Prediction and Data Assimilation Research At CAPS Ming Xue Director Center for Analysis and Prediction of Storms and.
1 Evolution and Priorities for OCONUS and CONUS Guidance Systems including a convection permitting ensemble system Presented By: Geoff DiMego (NCEP/EMC)
1 Examination of Nesting Requirements for CONUS and OCONUS in Presented By: Geoff DiMego (NCEP/EMC) Contributors: Stan Benjamin, Curtis Alexander.
1 Aviation Forecasting – Works in Progress NCVF – Ceiling & Visibility CoSPA – Storm Prediction A Joint Effort Among: MIT Lincoln Laboratory NCAR – National.
Evolving the NCEP Production Suite Dr. William M. Lapenta Director, National Centers for Environmental Prediction NOAA/National Weather Service NCEP Production.
Convection-Permitting Ensemble Forecasts at CAPS for Hazardous Weather Testbed (HWT) Ming Xue Center for Analysis and Prediction of Storms and School of.
Fly - Fight - Win 2 d Weather Group Mr. Evan Kuchera HQ AFWA 2 WXG/WEA Template: 28 Feb 06 Approved for Public Release - Distribution Unlimited AFWA Ensemble.
Storm Prediction Center Requirements for RUA Steven Weiss and Russell Schneider RUA/Nowcasting Workshop Boulder, CO June 3, 2015.
Storm Prediction Center NCEP Production Suite Review December 7, 2015 Steven Weiss, Russell Schneider, Israel Jirak, Chris Melick, Andy Dean, and Patrick.
Comparison of Convection-permitting and Convection-parameterizing Ensembles Adam J. Clark – NOAA/NSSL 18 August 2010 DTC Ensemble Testbed (DET) Workshop.
STORM-SCALE DATA ASSIMILATION AND ENSEMBLE FORECASTING WITH THE NSSL EXPERIMENTAL WARN-ON-FORECAST SYSTEM 40 th National Weather Association Annual Meeting.
NOAA Hurricane Forecast Improvement Project Development Fred Toepfer, HFIP Manager Bob Gall, HFIP Development Manager.
The Quantitative Precipitation Forecasting Component of the 2011 NOAA Hazardous Weather Testbed Spring Experiment David Novak 1, Faye Barthold 1,2, Mike.
Greg Carbin, Warning Coordination Meteorologist NOAA/National Weather Service Storm Prediction Center Workshop on Severe Convection and Climate – Int’l.
Multi-scale Analysis and Prediction of the 8 May 2003 Oklahoma City Tornadic Supercell Storm Assimilating Radar and Surface Network Data using EnKF Ting.
A few examples of heavy precipitation forecast Ming Xue Director
Hydrometeorological Predication Center
Center for Analysis and Prediction of Storms (CAPS) Briefing by Ming Xue, Director CAPS is one of the 1st NSF Science and Technology Centers established.
Update on the Status of Numerical Weather Prediction
CAPS Real-time Storm-Scale EnKF Data Assimilation and Forecasts for the NOAA Hazardous Weather Testbed Spring Forecasting Experiments: Towards the Goal.
2018 EnKF Workshop Development and Testing of a High-Resolution Rapid Refresh Ensemble (HRRRE) David Dowell, Trevor Alcott, Curtis Alexander, Jeff Beck,
Tornado Outbreak Modeling
Supercell Predictability Studies in Support of NOAA Warn-on-Forecast
NWP Strategy of DWD after 2006 GF XY DWD Feb-19.
MOGREPS developments and TIGGE
AGREPS – ACCESS Global and Regional EPS
Presentation transcript:

SPC Potential Products and Services and Attributes of Operational Supporting NWP Probabilistic Outlooks of Tornado, Severe Hail, and Severe Wind Hazards extended to Day 3 Day 1 Probabilistic Outlooks of Tornado, Severe Hail, and Severe Wind Hazards for 4-hr periods for Days1 and 2 Hourly Updated, Short Term Probability Forecasts for Tornado, Severe Hail, Severe Wind, and Significant Severe Hazards to support transition to continuously evolving public severe weather watches Week 2 and Monthly Severe Weather Outlooks (with CPC) * NWP capabilities are dependent on improvements in NOAA high performance computing resources and advances in data assimilation, physics, ensemble perturbation strategies, etc. For “Warn on Forecast” vision to be met, a dedicated community- wide Severe Weather Modeling focus is needed North America Short-Range Mesoscale Ensemble: km ~40 member multi- model/multi-physics/multi-IC ensemble with EnKF/hybrid or newer-state-of-the-art DA, run every 6 hrs with forecasts to Day 4* CONUS Storm Scale Ensemble Forecast (SSEF): 3 km CONUS ~15 member multi- model/multi-physics/multi-IC storm scale ensemble with EnKF/hybrid or newer state-of- the-art DA, issued every 6-hrs with forecasts to hrs* Movable domain update SSEF: 2 km movable regional domain member storm scale ensemble with EnKF/hybrid or newer state-of- the-art DA,run every 1-2 hrs with forecasts to hrs*, focused on “severe weather of the day” areas Stormscale 3D Analysis: 2 km EnKF/hybrid or newer state-of-the-art DA, CONUS storm scale analysis updated every 15 min Appropriate RAP/HRRR, Global deterministic / ensemble, and CFS capacities

Operational Ensemble System Vision 2020 Many science and HPC challenges for stormscale EPS –Better Models Produce Better Ensembles A dedicated focus on deterministic high resolution model improvement will still be needed –Model Resolution Horizontal: 3-4 km grid spacing resolves MCSs and some stormscale structures Earlier studies indicated little qualitative difference between 2 and 4 km However, these focused on spring environments when CAPE is large Cool season cases in High Shear/Low CAPE environments suggest 3-4 km grid spacing may be insufficient to resolve low CAPE tornadic supercells => is finer resolution needed in low CAPE environments? Vertical: what is relationship between horizontal and vertical resolution? Is more vertical resolution needed as we move down toward stormscale?

Operational Ensemble System Vision 2020 Many science and HPC challenges for stormscale EPS –Current plans focus on ARW and NMMB membership Is a multi-model system better on convective scales? How much do multiple models contribute to stormscale ensemble spread? –Perturbation strategies CAPS SSEF has utilized SREF IC perturbations to provide IC diversity What are scale-appropriate IC perturbations where convective storm error growth is large in time/space compared to mesoscale error growth? –Forecast length for stormscale models? Current NAM Nest runs to 60 hrs and High Res Windows run to 48 hrs While these are useful in constructing time-lagged ensemble members, do they contribute to meaningful ensemble spread for a Day 1 forecast? More importantly, what is the predictability of convective storms beyond the first diurnal heating cycle, and how does this inform us about the effective use of HPC resources for stormscale modeling?