2012 and changes to the Rapid Refresh and HRRR weather forecast models

Size: px
Start display at page:

Download "2012 and changes to the Rapid Refresh and HRRR weather forecast models"

Transcription

1 2012 and changes to the Rapid Refresh and HRRR weather forecast models 31 October 2012 Stan Benjamin Steve Weygandt Curtis Alexander NOAA Earth System Research Laboratory Boulder, CO FPAW HRRR/RAP Model Status 31 October

2 Hourly Updated NOAA Weather Models 13km Rapid Refresh (RAP) (mesoscale) Replaced RUC at NCEP 05/01/12 WRF, GSI, RUC features 13km RUC (mesoscale) 3km HRRR (storm-scale) High-Resolution Rapid Refresh Experimental 3km nest inside RAP, hourly 15-h fcst FPAW HRRR/RAP Model Status 31 October

3 RAP: Data assimilation engine for HRRR Hourly cycling model RAP Data Assimilation cycle Observations HRRR 3

4 HRRR Forecast Behavior 2012 Targets (1) Lower peak bias in RAP/HRRR Model Development and Evaluation convection over eastern US (2) Fewer false alarms (3) Improved timing of convective initiation (4) More success maintaining mesoscale convective systems (5) More realistic reflectivity GSD FPAW Program Review HRRR/RAP High-Resolution Model Rapid Status Refresh 313 October March

5 RAP and HRRR Changes RAP-ESRL (13 km) HRRR (3 km) Model WRFv Physics changes (convection, microphysics, land-surface, PBL) Numerics changes (w-damp upper bound conditions, 5 th -order vertical advection) MODIS land use, fractional min shortwave radiation New reflectivity diagnostic WRFv Physics changes (microphysics, land-surface, PBL) Numerics changes (w-damp upper bound conditions, 5 th -order vertical advection) MODIS land use, fractional min shortwave radiation New reflectivity diagnostic Data Assimilation Soil adjustment Temp-dep radarhydrometeor building PW assim mods Cloud assim mods Tower/nacelle/sodar observations GLD360 lightning GSI merge with trunk Radial wind assim 3 km/15 min reflect assim 3 km radial wind assim 3 km cloud cycling 3 km land-surface cycling GSD FPAW Program Review HRRR/RAP High-Resolution Model Rapid Status Refresh 313 October March

6 RAPv2 (2012 HRRR) more accurate than RAPv1 (2011 HRRR, NCEP) for Wind Temperature 6h forecast RMS errors vs. radiosonde observations (weather balloons) - July September

7 NOAA High-Resolution Rapid Refresh HRRR Model Forecast of Mid-Atlantic Derecho 29 June 2012 Radar observed HRRR forecast Derecho loop Composite Reflectivity (dbz)

8 NOAA Next-Generation RAP / HRRR System Forecast of Mid-Atlantic Derecho 29 June 2012 Radar observed Valid 11PM EDT HRRR 12-h forecast Real-time HRRR forecast HRRR Experiment with 2011 RAP Composite Reflectivity (dbz)

9 2013 add 3-km 15-min radar assimilation for HRRR Now: radar data assimilation only in 13km RAP By Jan 2013: continued radar assimilation in RAP (13 km) + 1h radar assimilation in HRRR (at 3 km) before HRRR forecast begins obs 3DVar + cloud analysis RAP 13 km fcst radar data fcst t 0 2 h t 0 1 h t 0 interpolation HRRR 3 km fcst radar data radar data radar radar data data Future: cycling with all obs (including radar) on HRRR (3-km) grid 3DVar and reflectivity-based temperature tendency, hybrid / ensemble assimilation and forecasting HRRR reflectivity DA same formulation of reflectivity-based temperature tendency as in RAP no digital filter

10 HRRR Storm Skill: 20 dbz radar reflectivity threshold Critical Success Index (CSI) Bias with 3-km without 3-km Bias = with 3-km without 3-km upscaled to 40-km grid native 3-km grid 3-day retrospective period June 2011, forecasts every 2 hours composite reflectivity verification over eastern half of US (widespread convective storms)

11 Composite Reflectivity 2200 UTC 11 June h fcst without 3-km 0-h fcst with 3-km 1000 km explicit precipitation from RAP observations

12 Composite Reflectivity 2200 UTC 11 June h fcst without 3-km 0-h fcst with 3-km 1000 km observations storms developed during HRRR cycling; locations were forced partly by reflectivitybased heating

13 Composite Reflectivity 2300 UTC 11 June h fcst without 3-km 1-h fcst with 3-km 1000 km observations mature convective systems benefit particularly from subhourly

14 Composite Reflectivity 0100 UTC 12 June h fcst without 3-km 3-h fcst with 3-km 1000 km convective systems maturing; errors apparent observations

15 Composite Reflectivity 0100 UTC 12 June h fcst without 3-km 3-h fcst with 3-km 1000 km observations better representation of convective character and location

16 Composite Reflectivity 0400 UTC 12 June h fcst without 3-km 6-h fcst with 3-km 1000 km observations differences persist (cumulative effects following from radar and/or other DA)

17 HRRR Transition to NCEP Current 1 computer running HRRR NOAA/ESRL Boulder Current reliability: 97% for last 12h months (allowing up to 3h gaps) computers running HRRR interim solution Boulder computer 1 (jet) Fairmont, WV computer 2 (zeus) Expected reliability to increase further to % via coordination of downtimes for Boulder vs. Fairmont computers 2015 NCEP running HRRR NOAA/NCEP computing budget will allow no increase before 2015 Conclusion: Interim HRRR computing for on 2 sites to provide research regular HRRR from NOAA for NWS, FAA, DOE/energy users FPAW HRRR/RAP Model Status 31 October

18 HRRR 12 hr fcst availability Includes all missed/incomplete runs Increasing reliability from HRRR running on zeus (Fairmont, WV computer) for 2013 Jet (HRRR feeding CoSPA) Zeus (HRRR backup) FPAW HRRR/RAP Model Status 31 October

19 13km Rapid Refresh and 3km HRRR hourly updated weather models ESRL experimental version RAPv1 used in 2011 Initialized 2011 HRRR effective but too many storms RAPv2 used in 2012 Initialized 2012 HRRR Better use of surface obs / radar, storm bias eliminated HRRR 2012 Major improvement over 2011 HRRR, storm coverage/accuracy HRRR km/15min radar assimilation Initialized from RAP-2013 Available 45 min earlier, much more accurate 0-15h storm forecasts, more reliable 2-computer NWS-NCEP - operational Implemented 1 May 2012 RAPv2 - Scheduled to be implemented in June 2013 HRRR estimated

20 NOAA Next-Generation Global Model Development FIM Flow-following finite volume Icosahedral Model soccer-ball grid design for uniform grid spacing New 14-day forecast twice daily Real-time experimental at ESRL atmosphere FIM ihycom Icosahedral Hybrid Coordinate Ocean Model - Matched grid design to FIM for coupled ocean- atmosphere prediction system - Experimental testing at ESRL, Navy development ocean ihycom

21 Hurricane Isaac 7-day forecast track by FIM9 (15km) from Friday 24 Aug 18z run Initial Position of Isaac 18z 24 Aug Observed track for Isaac

22 Eyjafjallajökull 2010: Comparison of FIM-Chem volcanic ash forecasts with London VAAC at 1800Z, April 17 and 0000Z, April 18

23 Why NOAA Weather Modeling Matters Innovation to meet crucial societal needs: FIM Protecting lives and property Improving quality of life Aviation / Severe weather / Energy tornadoes hurricanes wind events floods winter storms air quality What makes it possible - Improved model formulation - Improved data assimilation - Increased computer power HRRR

Canadian Meteorological and Oceanographic Society and American Meteorological Society 21 st Conference on Numerical Weather Prediction 31 May 2012

Canadian Meteorological and Oceanographic Society and American Meteorological Society 21 st Conference on Numerical Weather Prediction 31 May 2012 Canadian Meteorological and Oceanographic Society and American Meteorological Society 21 st Conference on Numerical Weather Prediction 31 May 2012 The High Resolution Rapid Refresh (): An hourly updating

More information

Weather Hazard Modeling Research and development: Recent Advances and Plans

Weather Hazard Modeling Research and development: Recent Advances and Plans Weather Hazard Modeling Research and development: Recent Advances and Plans Stephen S. Weygandt Curtis Alexander, Stan Benjamin, Geoff Manikin*, Tanya Smirnova, Ming Hu NOAA Earth System Research Laboratory

More information

weather forecast Improving NOAA models for energy Stan Benjamin, Boulder, CO USA Joseph Olson, Curtis Alexander, Eric James,

weather forecast Improving NOAA models for energy Stan Benjamin, Boulder, CO USA Joseph Olson, Curtis Alexander, Eric James, Lamont, OK X Obs radar 5h HRRR Forecast Improving NOAA weather forecast models for energy Stan Benjamin, Joseph Olson, Curtis Alexander, Eric James, Dave Turner, Melinda Marquis NOAA Earth System Research

More information

Development of an Hourly- Updated NAM Forecast System

Development of an Hourly- Updated NAM Forecast System Development of an Hourly- Updated NAM Forecast System Jacob Carley ab, Eric Rogers b, Shun Liu ab, Brad Ferrier ab, Eric Aligo ab, Matthew Pyle b, and Geoff DiMego b a IMSG, b NOAA/NWS/NCEP/EMC jacob.carley@noaa.gov

More information

Applications in situational awareness high-resolution NWP -- Ideas for the Blueprint DA discussion

Applications in situational awareness high-resolution NWP -- Ideas for the Blueprint DA discussion Applications in situational awareness high-resolution NWP -- Ideas for the Blueprint DA discussion 8 March 2016 Stan Benjamin, David Dowell, Curtis Alexander NOAA/ESRL/GLOBAL SYSTEMS DIVISION Situational

More information

Plans for NOAA s regional ensemble systems: NARRE, HRRRE, and a regional hybrid assimilation

Plans for NOAA s regional ensemble systems: NARRE, HRRRE, and a regional hybrid assimilation NOAA Earth System Research Laboratory Plans for NOAA s regional ensemble systems: NARRE, HRRRE, and a regional hybrid assimilation Tom Hamill (substituting for Stan Benjamin and team) NOAA Earth System

More information

Aircraft-based Observations: Impact on weather forecast model performance

Aircraft-based Observations: Impact on weather forecast model performance Aircraft-based Observations: Impact on weather forecast model performance Stephen S. Weygandt Eric James, Stan Benjamin, Bill Moninger, Brian Jamison, Geoff Manikin* NOAA Earth System Research Laboratory

More information

Update on CoSPA Storm Forecasts

Update on CoSPA Storm Forecasts Update on CoSPA Storm Forecasts Haig August 2, 2011 This work was sponsored by the Federal Aviation Administration under Air Force Contract No. FA8721-05-C-0002. Opinions, interpretations, conclusions,

More information

Introduction to NCEP's time lagged North American Rapid Refresh Ensemble Forecast System (NARRE-TL)

Introduction to NCEP's time lagged North American Rapid Refresh Ensemble Forecast System (NARRE-TL) Introduction to NCEP's time lagged North American Rapid Refresh Ensemble Forecast System (NARRE-TL) Binbin Zhou 1,2, Jun Du 2, Geoff Manikin 2 & Geoff DiMego 2 1. I.M. System Group 2. EMC/NCEP/NWS/NOAA

More information

NOAA s Severe Weather Forecasting System: HRRR to WoF to FACETS

NOAA s Severe Weather Forecasting System: HRRR to WoF to FACETS NOAA s Severe Weather Forecasting System: HRRR to WoF to FACETS David D NOAA / Earth System Research Laboratory / Global Systems Division Nowcasting and Mesoscale Research Working Group Meeting World Meteorological

More information

The Developmental Testbed Center: Update on Data Assimilation System Testing and Community Support

The Developmental Testbed Center: Update on Data Assimilation System Testing and Community Support 93rd AMS Annual Meeting/17th IOAS-AOLS/3rd Conference on Transition of Research to Operations, Austin, TX, Jan 6-10, 2013 The Developmental Testbed Center: Update on Data Assimilation System Testing and

More information

Development of High-Resolution Rapid Refresh (HRRR) Ensemble Data Assimilation, Forecasts and Post Processing

Development of High-Resolution Rapid Refresh (HRRR) Ensemble Data Assimilation, Forecasts and Post Processing 7 th Ensemble Users Workshop Ensemble Development I Development of High-Resolution Rapid Refresh (HRRR) Ensemble Data Assimilation, Forecasts and Post Processing 14 June 2016 Curtis Alexander, David Dowell,

More information

The EMC Mission.. In response to operational requirements:

The EMC Mission.. In response to operational requirements: The EMC Mission.. In response to operational requirements: Maintain operational model suite The scientific correctness and integrity of operational forecast modeling systems Modify current operational

More information

Project Summary 2015 DTC Task MM5: Test of an Expanded WRF-ARW Domain

Project Summary 2015 DTC Task MM5: Test of an Expanded WRF-ARW Domain 1. Introduction Project Summary 2015 DTC Task MM5: Test of an Expanded WRF-ARW Domain Trevor Alcott Ligia Bernardet Isidora Jankov The High-Resolution Rapid Refresh (HRRR) model represents a major step

More information

Convection-Resolving NWP with WRF. Section coordinator Ming Xue University of Oklahoma

Convection-Resolving NWP with WRF. Section coordinator Ming Xue University of Oklahoma Convection-Resolving NWP with WRF Section coordinator Ming Xue University of Oklahoma Convection-resolving NWP Is NWP that explicitly treats moist convective systems ranging from organized MCSs to individual

More information

11.1 CONVECTION FORECASTS FROM THE HOURLY UPDATED, 3-KM HIGH RESOLUTION RAPID REFRESH (HRRR) MODEL

11.1 CONVECTION FORECASTS FROM THE HOURLY UPDATED, 3-KM HIGH RESOLUTION RAPID REFRESH (HRRR) MODEL Preprints, 24 th Conference on Severe Local Storms, October 2008, Savannah, GA, Amer. Meteor. Soc. 11.1 CONVECTION FORECASTS FROM THE HOURLY UPDATED, 3-KM HIGH RESOLUTION RAPID REFRESH (HRRR) MODEL Tracy

More information

Assimilation of cloud/precipitation data at regional scales

Assimilation of cloud/precipitation data at regional scales Assimilation of cloud/precipitation data at regional scales Thomas Auligné National Center for Atmospheric Research auligne@ucar.edu Acknowledgments to: Steven Cavallo, David Dowell, Aimé Fournier, Hans

More information

Development of High-Resolution Rapid Refresh (HRRR) Ensemble Data Assimilation, Forecast and Post-Processing

Development of High-Resolution Rapid Refresh (HRRR) Ensemble Data Assimilation, Forecast and Post-Processing CORP Science Symposium, July 18-19, 2016, Fort Collins Development of High-Resolution Rapid Refresh (HRRR) Ensemble Data Assimilation, Forecast and Post-Processing Isidora Jankov, Curtis Alexander, David

More information

The Nowcasting Demonstration Project for London 2012

The Nowcasting Demonstration Project for London 2012 The Nowcasting Demonstration Project for London 2012 Susan Ballard, Zhihong Li, David Simonin, Jean-Francois Caron, Brian Golding, Met Office, UK Introduction The success of convective-scale NWP is largely

More information

Toward improved initial conditions for NCAR s real-time convection-allowing ensemble. Ryan Sobash, Glen Romine, Craig Schwartz, and Kate Fossell

Toward improved initial conditions for NCAR s real-time convection-allowing ensemble. Ryan Sobash, Glen Romine, Craig Schwartz, and Kate Fossell Toward improved initial conditions for NCAR s real-time convection-allowing ensemble Ryan Sobash, Glen Romine, Craig Schwartz, and Kate Fossell Storm-scale ensemble design Can an EnKF be used to initialize

More information

Some Applications of WRF/DART

Some Applications of WRF/DART Some Applications of WRF/DART Chris Snyder, National Center for Atmospheric Research Mesoscale and Microscale Meteorology Division (MMM), and Institue for Mathematics Applied to Geoscience (IMAGe) WRF/DART

More information

ABSTRACT 3 RADIAL VELOCITY ASSIMILATION IN BJRUC 3.1 ASSIMILATION STRATEGY OF RADIAL

ABSTRACT 3 RADIAL VELOCITY ASSIMILATION IN BJRUC 3.1 ASSIMILATION STRATEGY OF RADIAL REAL-TIME RADAR RADIAL VELOCITY ASSIMILATION EXPERIMENTS IN A PRE-OPERATIONAL FRAMEWORK IN NORTH CHINA Min Chen 1 Ming-xuan Chen 1 Shui-yong Fan 1 Hong-li Wang 2 Jenny Sun 2 1 Institute of Urban Meteorology,

More information

NOAA Research and Development Supporting NextGen. Darien Davis NOAA Office of Oceanic and Atmospheric Research June 22, 2009

NOAA Research and Development Supporting NextGen. Darien Davis NOAA Office of Oceanic and Atmospheric Research June 22, 2009 NOAA Research and Development Supporting NextGen Darien Davis Darien.l.davis@noaa.gov NOAA Office of Oceanic and Atmospheric Research June 22, 2009 FAA/NOAA Coordination Developing an integrated science

More information

FAA Weather Research Plans

FAA Weather Research Plans FAA Weather Research Plans Presented to: Friends /Partners in Aviation Weather Vision Forum By: Ray Moy FAA Aviation Weather Office Date: Aviation Weather Research Program (AWRP) Purpose: Applied Research

More information

Emerging Aviation Weather Research at MIT Lincoln Laboratory*

Emerging Aviation Weather Research at MIT Lincoln Laboratory* Emerging Aviation Weather Research at MIT Lincoln Laboratory* Haig 19 November 2015 *This work was sponsored by the Federal Aviation Administration under Air Force Contract No. FA8721-05-C-0002. Opinions,

More information

The National Weather Service of the Future: Building a Weather-Ready Nation

The National Weather Service of the Future: Building a Weather-Ready Nation The of the Future: Building a Weather-Ready Nation Dr. Louis W. Uccellini Director, NOAA Assistant Administrator for Weather Services NCEP Production Suite Review December 2, 2014 Outline Building a Weather-Ready

More information

Numerical Weather Prediction: Data assimilation. Steven Cavallo

Numerical Weather Prediction: Data assimilation. Steven Cavallo Numerical Weather Prediction: Data assimilation Steven Cavallo Data assimilation (DA) is the process estimating the true state of a system given observations of the system and a background estimate. Observations

More information

J3.4 FROM THE RADAR-ENHANCED RUC TO THE WRF-BASED RAPID REFRESH. NOAA Earth System Research Laboratory, Boulder, CO

J3.4 FROM THE RADAR-ENHANCED RUC TO THE WRF-BASED RAPID REFRESH. NOAA Earth System Research Laboratory, Boulder, CO 22 nd Conf. Wea. Analysis Forecasting / 18 th Conf. Num Wea. Pred., June 2007, Park City, UT, Amer. Meteor. Soc. J3.4 FROM THE RADAR-ENHANCED RUC TO THE WRF-BASED RAPID REFRESH Stan Benjamin, Stephen S.

More information

HRRR-AK: Status and Future of a High- Resolu8on Forecast Model for Alaska

HRRR-AK: Status and Future of a High- Resolu8on Forecast Model for Alaska HRRR-AK: Status and Future of a High- Resolu8on Forecast Model for Alaska Trevor Alco* 1, Jiang Zhu 2, Don Morton 3, Ming Hu 4, Cur8s Alexander 1 1 ESRL Global Systems Division, Boulder, CO 2 GINA/UAF,

More information

Near-surface weather prediction and surface data assimilation: challenges, development, and potential data needs

Near-surface weather prediction and surface data assimilation: challenges, development, and potential data needs Near-surface weather prediction and surface data assimilation: challenges, development, and potential data needs Zhaoxia Pu Department of Atmospheric Sciences University of Utah, Salt Lake City, Utah,

More information

Evaluation of Ensemble Icing Probability Forecasts in NCEP s SREF, VSREF and NARRE-TL Systems

Evaluation of Ensemble Icing Probability Forecasts in NCEP s SREF, VSREF and NARRE-TL Systems Evaluation of Ensemble Icing Probability Forecasts in NCEP s, V and Systems Binbin Zhou 1,2, Jun Du 2, Geoff DeMigo 2 and Robert Sallee 3 1. I.M. System Group 2. Environmental Modeling Center of NCEP 3.

More information

PSU HFIP 2010 Summary: Performance of the ARW-EnKF Real-time Cloud-resolving TC Ensemble Analysis and Forecasting System.

PSU HFIP 2010 Summary: Performance of the ARW-EnKF Real-time Cloud-resolving TC Ensemble Analysis and Forecasting System. PSU HFIP 2010 Summary: Performance of the ARW-EnKF Real-time Cloud-resolving TC Ensemble Analysis and Forecasting System Fuqing Zhang Penn State University Contributors: Yonghui Weng, John Gamache and

More information

Localized Aviation Model Output Statistics Program (LAMP): Improvements to convective forecasts in response to user feedback

Localized Aviation Model Output Statistics Program (LAMP): Improvements to convective forecasts in response to user feedback Localized Aviation Model Output Statistics Program (LAMP): Improvements to convective forecasts in response to user feedback Judy E. Ghirardelli National Weather Service Meteorological Development Laboratory

More information

Motivation & Goal. We investigate a way to generate PDFs from a single deterministic run

Motivation & Goal. We investigate a way to generate PDFs from a single deterministic run Motivation & Goal Numerical weather prediction is limited by errors in initial conditions, model imperfections, and nonlinearity. Ensembles of an NWP model provide forecast probability density functions

More information

Enhancing short term wind energy forecasting for improved utility operations: The Wind Forecast Improvement Project (WFIP)

Enhancing short term wind energy forecasting for improved utility operations: The Wind Forecast Improvement Project (WFIP) Enhancing short term wind energy forecasting for improved utility operations: The Wind Forecast Improvement Project (WFIP) Jim Wilczak NOAA S. Benjamin, I. Djalalova, L. Bianco, S. Calvert, J. Freedman,

More information

A 21st century HRRR-based approach to estimating probable maximum precipitation to enhance dam safety and community resilience

A 21st century HRRR-based approach to estimating probable maximum precipitation to enhance dam safety and community resilience 30 May 2017 FIRO Science Task Group Workshop A 21st century HRRR-based approach to estimating probable maximum precipitation to enhance dam safety and community resilience Courtesy Bill McCormick, Chief,

More information

The WMO Observation Impact Workshop. lessons for SRNWP. Roger Randriamampianina

The WMO Observation Impact Workshop. lessons for SRNWP. Roger Randriamampianina The WMO Observation Impact Workshop - developments outside Europe and lessons for SRNWP Roger Randriamampianina Hungarian Meteorological Service (OMSZ) Outline Short introduction of the workshop Developments

More information

WRF Modeling System Overview

WRF Modeling System Overview WRF Modeling System Overview Jimy Dudhia What is WRF? WRF: Weather Research and Forecasting Model Used for both research and operational forecasting It is a supported community model, i.e. a free and shared

More information

Transitioning Physics Advancements into the Operational Hurricane WRF Model

Transitioning Physics Advancements into the Operational Hurricane WRF Model Transitioning Physics Advancements into the Operational Hurricane WRF Model KATHRYN NEWMAN, MRINAL BISWAS, LAURIE CARSON N OA A / ESR L T EA M M E M B E RS: E. K ALINA, J. F RIMEL, E. GRELL, AND L. B ERNARDET

More information

Hyperlocal Marine Weather: What s Happening?

Hyperlocal Marine Weather: What s Happening? Hyperlocal Marine Weather: What s Happening? André van der Westhuysen 1,2 and Jeff McQueen 1 1 NOAA / National Weather Service National Centers for Environmental Prediction 2 I.M Systems Group, Rockville

More information

The role of testbeds in NOAA for transitioning NWP research to operations

The role of testbeds in NOAA for transitioning NWP research to operations ECMWF Workshop on Operational Systems November 18, 2013 The role of testbeds in NOAA for transitioning NWP research to operations Ligia Bernardet 1* and Zoltan Toth 1 1 NOAA ESRL Global Systems Division,

More information

An Overview of Atmospheric Analyses and Reanalyses for Climate

An Overview of Atmospheric Analyses and Reanalyses for Climate An Overview of Atmospheric Analyses and Reanalyses for Climate Kevin E. Trenberth NCAR Boulder CO Analysis Data Assimilation merges observations & model predictions to provide a superior state estimate.

More information

Assimilate W88D Doppler Vr for Humberto 05

Assimilate W88D Doppler Vr for Humberto 05 Assimilate W88D Doppler Vr for Humberto 05 WRF/EnKF Forecast vs. Observations vs. 3DVAR Min SLP Max wind The WRF/3DVAR (as a surrogate of operational algorithm) assimilates the same radar data but without

More information

Ting Lei, Xuguang Wang University of Oklahoma, Norman, OK, USA. Wang and Lei, MWR, Daryl Kleist (NCEP): dual resolution 4DEnsVar

Ting Lei, Xuguang Wang University of Oklahoma, Norman, OK, USA. Wang and Lei, MWR, Daryl Kleist (NCEP): dual resolution 4DEnsVar GSI-based four dimensional ensemble-variational (4DEnsVar) data assimilation: formulation and single resolution experiments with real data for NCEP GFS Ting Lei, Xuguang Wang University of Oklahoma, Norman,

More information

The Use of GPS Radio Occultation Data for Tropical Cyclone Prediction. Bill Kuo and Hui Liu UCAR

The Use of GPS Radio Occultation Data for Tropical Cyclone Prediction. Bill Kuo and Hui Liu UCAR The Use of GPS Radio Occultation Data for Tropical Cyclone Prediction Bill Kuo and Hui Liu UCAR Current capability of the National Hurricane Center Good track forecast improvements. Errors cut in half

More information

HIGH RESOLUTION RAPID REFRESH COUPLED WITH SMOKE (HRRR- SMOKE): REAL-TIME AIR QUALITY MODELING SYSTEM AND ITS APPLICATION TO CASE STUDIES

HIGH RESOLUTION RAPID REFRESH COUPLED WITH SMOKE (HRRR- SMOKE): REAL-TIME AIR QUALITY MODELING SYSTEM AND ITS APPLICATION TO CASE STUDIES HIGH RESOLUTION RAPID REFRESH COUPLED WITH SMOKE (HRRR- SMOKE): REAL-TIME AIR QUALITY MODELING SYSTEM AND ITS APPLICATION TO CASE STUDIES Ravan Ahmadov 1,2 (ravan.ahmadov@noaa.gov) Acknowledgement: G.

More information

The Properties of Convective Clouds Over the Western Pacific and Their Relationship to the Environment of Tropical Cyclones

The Properties of Convective Clouds Over the Western Pacific and Their Relationship to the Environment of Tropical Cyclones The Properties of Convective Clouds Over the Western Pacific and Their Relationship to the Environment of Tropical Cyclones Principal Investigator: Dr. Zhaoxia Pu Department of Meteorology, University

More information

Improvements to the NCEP Global and Regional Data Assimilation Systems

Improvements to the NCEP Global and Regional Data Assimilation Systems Improvements to the NCEP Global and Regional Data Assimilation Systems Stephen J. Lord Director NCEP Environmental Modeling Center EMC Staff NCEP: where America s climate, weather, and ocean services begin

More information

Behind the Climate Prediction Center s Extended and Long Range Outlooks Mike Halpert, Deputy Director Climate Prediction Center / NCEP

Behind the Climate Prediction Center s Extended and Long Range Outlooks Mike Halpert, Deputy Director Climate Prediction Center / NCEP Behind the Climate Prediction Center s Extended and Long Range Outlooks Mike Halpert, Deputy Director Climate Prediction Center / NCEP September 2012 Outline Mission Extended Range Outlooks (6-10/8-14)

More information

ASSIMILATION OF METAR CLOUD AND VISIBILITY OBSERVATIONS IN THE RUC

ASSIMILATION OF METAR CLOUD AND VISIBILITY OBSERVATIONS IN THE RUC 9.13 ASSIMILATION OF METAR CLOUD AND VISIBILITY OBSERVATIONS IN THE RUC Stanley G. Benjamin, Stephen S. Weygandt, John M. Brown, Tracy Lorraine Smith 1, Tanya Smirnova 2, William R. Moninger, Barry Schwartz,

More information

Thunderstorm-Scale EnKF Analyses Verified with Dual-Polarization, Dual-Doppler Radar Data

Thunderstorm-Scale EnKF Analyses Verified with Dual-Polarization, Dual-Doppler Radar Data Thunderstorm-Scale EnKF Analyses Verified with Dual-Polarization, Dual-Doppler Radar Data David Dowell and Wiebke Deierling National Center for Atmospheric Research, Boulder, CO Ensemble Data Assimilation

More information

N C E P. Ensemble Systems within the NOAA Operational Modeling Suite. William. M. Lapenta Acting Director Environmental Modeling Center NOAA/NWS/NCEP

N C E P. Ensemble Systems within the NOAA Operational Modeling Suite. William. M. Lapenta Acting Director Environmental Modeling Center NOAA/NWS/NCEP US THORPE 19 Sept 2012 1 N C E P Ensemble Systems within the NOAA Operational Modeling Suite William. M. Lapenta Acting Director Environmental Modeling Center NOAA/NWS/NCEP Data Assimilation, Modeling

More information

Consolidated Storm Prediction for Aviation (CoSPA) Overview

Consolidated Storm Prediction for Aviation (CoSPA) Overview Consolidated Storm Prediction for Aviation (CoSPA) Overview Ray Moy (FAA), Bill Dupree (MIT LL Lead), and Matthias Steiner (NCAR Lead) 27 September 2007 NBAA User Panel Review - 1 Consolidated Storm Prediction

More information

J th Conference on Aviation, Range, and Aerospace Meteorology, 90th AMS Annual Meeting, Atlanta, GA, Jan, 2010

J th Conference on Aviation, Range, and Aerospace Meteorology, 90th AMS Annual Meeting, Atlanta, GA, Jan, 2010 J12.3 14th Conference on Aviation, Range, and Aerospace Meteorology, 90th AMS Annual Meeting, Atlanta, GA, 17-21 Jan, 20 Introduction to the NCEP Very Short Range Ensemble Forecast System (VSREF) Binbin

More information

Report on EN6 DTC Ensemble Task 2014: Preliminary Configuration of North American Rapid Refresh Ensemble (NARRE)

Report on EN6 DTC Ensemble Task 2014: Preliminary Configuration of North American Rapid Refresh Ensemble (NARRE) Report on EN6 DTC Ensemble Task 2014: Preliminary Configuration of North American Rapid Refresh Ensemble (NARRE) Motivation As an expansion of computing resources for operations at EMC is becoming available

More information

Chengsi Liu 1, Ming Xue 1, 2, Youngsun Jung 1, Lianglv Chen 3, Rong Kong 1 and Jingyao Luo 3 ISDA 2019

Chengsi Liu 1, Ming Xue 1, 2, Youngsun Jung 1, Lianglv Chen 3, Rong Kong 1 and Jingyao Luo 3 ISDA 2019 Development of Optimized Radar Data Assimilation Capability within the Fully Coupled EnKF EnVar Hybrid System for Convective Permitting Ensemble Forecasting and Testing via NOAA Hazardous Weather Testbed

More information

Progress in Aviation Weather Forecasting for ATM Decision Making FPAW 2010

Progress in Aviation Weather Forecasting for ATM Decision Making FPAW 2010 Progress in Aviation Weather Forecasting for ATM Decision Making FPAW 2010 Jim Evans Marilyn Wolfson 21 October 2010-1 Overview (1) Integration with storm avoidance models and ATC route usage models (2)

More information

Development and research of GSI based hybrid EnKF Var data assimilation for HWRF to improve hurricane prediction

Development and research of GSI based hybrid EnKF Var data assimilation for HWRF to improve hurricane prediction Development and research of GSI based hybrid EnKF Var data assimilation for HWRF to improve hurricane prediction Xuguang Wang, Xu Lu, Yongzuo Li School of Meteorology University of Oklahoma, Norman, OK,

More information

CAPS Storm-Scale Ensemble Forecasting (SSEF) System

CAPS Storm-Scale Ensemble Forecasting (SSEF) System CAPS Storm-Scale Ensemble Forecasting (SSEF) System Fanyou Kong, Ming Xue, Xuguang Wang, Keith Brewster Center for Analysis and Prediction of Storms University of Oklahoma (collaborated with NSSL, SPC,

More information

The NOAA Operational Numerical Guidance System: Recent Changes and Moving Forward. William. M. Lapenta Acting Director Environmental Modeling Center

The NOAA Operational Numerical Guidance System: Recent Changes and Moving Forward. William. M. Lapenta Acting Director Environmental Modeling Center AMS Future of the Weather Enterprise 11/27/12 1 N C E P The NOAA Operational Numerical Guidance System: Recent Changes and Moving Forward William. M. Lapenta Acting Director Environmental Modeling Center

More information

A WRF-based rapid updating cycling forecast system of. BMB and its performance during the summer and Olympic. Games 2008

A WRF-based rapid updating cycling forecast system of. BMB and its performance during the summer and Olympic. Games 2008 A WRF-based rapid updating cycling forecast system of BMB and its performance during the summer and Olympic Games 2008 Min Chen 1, Shui-yong Fan 1, Jiqin Zhong 1, Xiang-yu Huang 2, Yong-Run Guo 2, Wei

More information

Figure 1. Observations assimilated into RUC as of 2008 after upgrade, new observations in bold and with leading arrows.

Figure 1. Observations assimilated into RUC as of 2008 after upgrade, new observations in bold and with leading arrows. 6.2 IMPLEMENTATION OF THE RADAR-ENHANCED RUC Stan Benjamin, Stephen S. Weygandt, John M. Brown, Tanya Smirnova 2, Dezso Devenyi 2, Kevin Brundage 3, Georg Grell 2, Steven Peckham 2, William R. Moninger,

More information

Hypothesis for ESPC Demo #1: Flow-followingfinite-volume. Icosahedral

Hypothesis for ESPC Demo #1: Flow-followingfinite-volume. Icosahedral Blocking Error in 10 day to 1 year Global Model Forecasts, Dependency on Resolution and Numerics Stan Benjamin, Shan Sun, Rainer Bleck, John Brown NOAA Earth System Research Laboratory, Boulder CO USA

More information

Enhancing information transfer from observations to unobserved state variables for mesoscale radar data assimilation

Enhancing information transfer from observations to unobserved state variables for mesoscale radar data assimilation Enhancing information transfer from observations to unobserved state variables for mesoscale radar data assimilation Weiguang Chang and Isztar Zawadzki Department of Atmospheric and Oceanic Sciences Faculty

More information

AMPS Update June 2017

AMPS Update June 2017 AMPS Update June 2017 Kevin W. Manning Jordan G. Powers Mesoscale and Microscale Meteorology Laboratory National Center for Atmospheric Research Boulder, CO 12th Workshop on Antarctic Meteorology and Climate

More information

Variational data assimilation of lightning with WRFDA system using nonlinear observation operators

Variational data assimilation of lightning with WRFDA system using nonlinear observation operators Variational data assimilation of lightning with WRFDA system using nonlinear observation operators Virginia Tech, Blacksburg, Virginia Florida State University, Tallahassee, Florida rstefane@vt.edu, inavon@fsu.edu

More information

Hybrid Variational Ensemble Data Assimilation for Tropical Cyclone

Hybrid Variational Ensemble Data Assimilation for Tropical Cyclone Hybrid Variational Ensemble Data Assimilation for Tropical Cyclone Forecasts Xuguang Wang School of Meteorology University of Oklahoma, Norman, OK Acknowledgement: OU: Ting Lei, Yongzuo Li, Kefeng Zhu,

More information

RTMA Flowchart (CONUS)

RTMA Flowchart (CONUS) 22 nd Conf. Wea. Analysis Forecasting / 18 th Conf. Num Wea. Pred., June 2007, Park City, UT, Amer. Meteor. Soc. 4A.6 THE RTMA BACKGROUND HOURLY DOWNSCALING OF RUC DATA TO 5-KM DETAIL Stan Benjamin, John

More information

Real case simulations using spectral bin cloud microphysics: Remarks on precedence research and future activity

Real case simulations using spectral bin cloud microphysics: Remarks on precedence research and future activity Real case simulations using spectral bin cloud microphysics: Remarks on precedence research and future activity Takamichi Iguchi 1,2 (takamichi.iguchi@nasa.gov) 1 Earth System Science Interdisciplinary

More information

Retrospective and near real-time tests of GSIbased EnKF-Var hybrid data assimilation system for HWRF with airborne radar data

Retrospective and near real-time tests of GSIbased EnKF-Var hybrid data assimilation system for HWRF with airborne radar data Retrospective and near real-time tests of GSIbased EnKF-Var hybrid data assimilation system for HWRF with airborne radar data Xuguang Wang, Xu Lu, Yongzuo Li University of Oklahoma, Norman, OK In collaboration

More information

Using Convection-Allowing Models to Produce Forecast Guidance For Severe Thunderstorm Hazards via a Surrogate-Severe Approach!

Using Convection-Allowing Models to Produce Forecast Guidance For Severe Thunderstorm Hazards via a Surrogate-Severe Approach! Using Convection-Allowing Models to Produce Forecast Guidance For Severe Thunderstorm Hazards via a Surrogate-Severe Approach! Ryan Sobash! University of Oklahoma, School of Meteorology, Norman, OK! J.

More information

P3.1 Development of MOS Thunderstorm and Severe Thunderstorm Forecast Equations with Multiple Data Sources

P3.1 Development of MOS Thunderstorm and Severe Thunderstorm Forecast Equations with Multiple Data Sources P3.1 Development of MOS Thunderstorm and Severe Thunderstorm Forecast Equations with Multiple Data Sources Kathryn K. Hughes * Meteorological Development Laboratory Office of Science and Technology National

More information

Preliminary Results from the ATHENA-OAWL Venture Tech Airborne Mission

Preliminary Results from the ATHENA-OAWL Venture Tech Airborne Mission Preliminary Results from the ATHENA-OAWL Venture Tech Airborne Mission Sunil Baidar (a, b), Sara Tucker (c), Mike Hardesty (a, b) (a) Cooperative Institute for Research in Environmental Sciences, University

More information

Impact of assimilating the VIIRS-based CrIS cloudcleared radiances on hurricane forecasts

Impact of assimilating the VIIRS-based CrIS cloudcleared radiances on hurricane forecasts Impact of assimilating the VIIRS-based CrIS cloudcleared radiances on hurricane forecasts Jun Li @, Pei Wang @, Jinlong Li @, Zhenglong Li @, Jung-Rim Lee &, Agnes Lim @, Timothy J. Schmit #, and Mitch

More information

The GNSS-RO Data Impact on the Typhoon Predictions by MPAS-GSI Model

The GNSS-RO Data Impact on the Typhoon Predictions by MPAS-GSI Model The GNSS-RO Data Impact on the Typhoon Predictions by MPAS-GSI Model 1 Shu-Ya Chen, 1,2 Cheng-Peng Shih, 2,3 Ching-Yuang Huang, 2 Wen-Hsin Teng, and 1 Yang-Cheng Huang 1 GPS Science and Application Research

More information

Testing and Evaluation of GSI Hybrid Data Assimilation for Basin-scale HWRF: Lessons We Learned

Testing and Evaluation of GSI Hybrid Data Assimilation for Basin-scale HWRF: Lessons We Learned 4th NOAA Testbeds & Proving Ground Workshop, College Park, MD, April 2-4, 2013 Testing and Evaluation of GSI Hybrid Data Assimilation for Basin-scale HWRF: Lessons We Learned Hui Shao1, Chunhua Zhou1,

More information

Assimilation of Mesoscale Observations for use in Numerical Weather Prediction

Assimilation of Mesoscale Observations for use in Numerical Weather Prediction Assimilation of Mesoscale Observations for use in Numerical Weather Prediction Steve Koch Thermodynamic Profiling Technologies Workshop Boulder 12 14 April 2011 Important Questions (from 2003 USWRP Mesoscale

More information

Spatial Forecast Verification Methods

Spatial Forecast Verification Methods Spatial Forecast Verification Methods Barbara Brown Joint Numerical Testbed Program Research Applications Laboratory, NCAR 22 October 2014 Acknowledgements: Tara Jensen, Randy Bullock, Eric Gilleland,

More information

An Integrated Approach to the Prediction of Weather, Renewable Energy Generation and Energy Demand in Vermont

An Integrated Approach to the Prediction of Weather, Renewable Energy Generation and Energy Demand in Vermont 1 An Integrated Approach to the Prediction of Weather, Renewable Energy Generation and Energy Demand in Vermont James P. Cipriani IBM Thomas J. Watson Research Center Yorktown Heights, NY Other contributors

More information

National Convective Weather Forecasts Cindy Mueller

National Convective Weather Forecasts Cindy Mueller National Convective Weather Forecasts Cindy Mueller National Center for Atmospheric Research Research Applications Program National Forecast Demonstration 2-4-6 hr Convection Forecasts Collaborative forecast

More information

Convection-Allowing Models (CAMs) A discussion on Creating a Roadmap to a Unified CAM-based Data-Assimilation and Forecast Ensemble

Convection-Allowing Models (CAMs) A discussion on Creating a Roadmap to a Unified CAM-based Data-Assimilation and Forecast Ensemble Convection-Allowing Models (CAMs) A discussion on Creating a Roadmap to a Unified CAM-based Data-Assimilation and Forecast Ensemble Panel Members Curtis Alexander (ESRL/GSD) Adam Clark (NSSL) Lucas Harris

More information

CONDUIT Update Cooperative Opportunity for NCEP Data using IDD Technology Rebecca Cosgrove NCEP/NCO/Production Management Branch September 15, 2014

CONDUIT Update Cooperative Opportunity for NCEP Data using IDD Technology Rebecca Cosgrove NCEP/NCO/Production Management Branch September 15, 2014 CONDUIT Update Cooperative Opportunity for NCEP Data using IDD Technology Rebecca Cosgrove NCEP/NCO/Production Management Branch September 15, 2014 Agenda Technology Refresh Data available today NOAAPORT/SBN

More information

COSMIC GPS Radio Occultation and

COSMIC GPS Radio Occultation and An Impact Study of FORMOSAT-3/ COSMIC GPS Radio Occultation and Dropsonde Data on WRF Simulations 27 Mei-yu season Fang-Ching g Chien Department of Earth Sciences Chien National and Taiwan Kuo (29), Normal

More information

ECMWF global reanalyses: Resources for the wind energy community

ECMWF global reanalyses: Resources for the wind energy community ECMWF global reanalyses: Resources for the wind energy community (and a few myth-busters) Paul Poli European Centre for Medium-range Weather Forecasts (ECMWF) Shinfield Park, RG2 9AX, Reading, UK paul.poli

More information

Amy Harless. Jason Levit, David Bright, Clinton Wallace, Bob Maxson. Aviation Weather Center Kansas City, MO

Amy Harless. Jason Levit, David Bright, Clinton Wallace, Bob Maxson. Aviation Weather Center Kansas City, MO Amy Harless Jason Levit, David Bright, Clinton Wallace, Bob Maxson Aviation Weather Center Kansas City, MO AWC Mission Decision Support for Traffic Flow Management Ensemble Applications at AWC Testbed

More information

Air Quality Screening Modeling

Air Quality Screening Modeling Air Quality Screening Modeling 2007 Meteorology Simulation with WRF OTC Modeling Committee Meeting September 16, 2010 Baltimore, MD Presentation is based upon the following technical reports available

More information

Experiments of Hurricane Initialization with Airborne Doppler Radar Data for the Advancedresearch Hurricane WRF (AHW) Model

Experiments of Hurricane Initialization with Airborne Doppler Radar Data for the Advancedresearch Hurricane WRF (AHW) Model Experiments of Hurricane Initialization with Airborne Doppler Radar Data for the Advancedresearch Hurricane WRF (AHW) Model Qingnong Xiao 1, Xiaoyan Zhang 1, Christopher Davis 1, John Tuttle 1, Greg Holland

More information

22 nd Conference on Weather Analysis and Forecasting / 18 th Conference on Numerical Weather Prediction June 2007, Park City, UT, Amer. Meteor. Soc.

22 nd Conference on Weather Analysis and Forecasting / 18 th Conference on Numerical Weather Prediction June 2007, Park City, UT, Amer. Meteor. Soc. 22 nd Conference on Weather Analysis and Forecasting / 18 th Conference on Numerical Weather Prediction June 2007, Park City, UT, Amer. Meteor. Soc. 4A.2 TAMDAR AND ITS IMPACT ON RAPID UPDATE CYCLE (RUC)

More information

Deterministic and Ensemble Storm scale Lightning Data Assimilation

Deterministic and Ensemble Storm scale Lightning Data Assimilation LI Mission Advisory Group & GOES-R Science Team Workshop 27-29 May 2015 Deterministic and Ensemble Storm scale Lightning Data Assimilation Don MacGorman, Ted Mansell (NOAA/National Severe Storms Lab) Alex

More information

HMON (HNMMB): Development of a new Hurricane model for NWS/NCEP operations

HMON (HNMMB): Development of a new Hurricane model for NWS/NCEP operations 1 HMON (HNMMB): Development of a new Hurricane model for NWS/NCEP operations Avichal Mehra, EMC Hurricane and Mesoscale Teams Environmental Modeling Center NOAA / NWS / NCEP HMON: A New Operational Hurricane

More information

HYSPLIT volcanic ash dispersion modeling R&D, NOAA NWS NCEP operations, and transfer to operations

HYSPLIT volcanic ash dispersion modeling R&D, NOAA NWS NCEP operations, and transfer to operations HYSPLIT volcanic ash dispersion modeling R&D, NOAA NWS NCEP operations, and transfer to operations Barbara Stunder 1, Alice Crawford 1,2, Tianfeng Chai 1,2, Michael Pavolonis 3 1 NOAA OAR Air Resources

More information

Real-time PBL analysis system using profilers observations from The New York State Mesonet

Real-time PBL analysis system using profilers observations from The New York State Mesonet Real-time PBL analysis system using profilers observations from The New York State Mesonet Sarah Lu University at Albany State University of New York Outline Background System description and progress

More information

NOAA s Capabilities in Wind Energy

NOAA s Capabilities in Wind Energy NCAR-Xcel-NOAA Meeting May 11-12, 2010 Boulder, CO NOAA s Capabilities in Wind Energy Melinda Marquis, Ph.D. NOAA Earth System Research Laboratory Outline NOAA has a potential role in improving wind forecasting

More information

FPAW October Pat Murphy & David Bright NWS Aviation Weather Center

FPAW October Pat Murphy & David Bright NWS Aviation Weather Center FPAW October 2014 Pat Murphy & David Bright NWS Aviation Weather Center Overview Ensemble & Probabilistic Forecasts What AWC Is Doing Now Ensemble Processor What s In Development (NOAA Aviation Weather

More information

AVIATION APPLICATIONS OF A NEW GENERATION OF MESOSCALE NUMERICAL WEATHER PREDICTION SYSTEM OF THE HONG KONG OBSERVATORY

AVIATION APPLICATIONS OF A NEW GENERATION OF MESOSCALE NUMERICAL WEATHER PREDICTION SYSTEM OF THE HONG KONG OBSERVATORY P452 AVIATION APPLICATIONS OF A NEW GENERATION OF MESOSCALE NUMERICAL WEATHER PREDICTION SYSTEM OF THE HONG KONG OBSERVATORY Wai-Kin WONG *1, P.W. Chan 1 and Ivan C.K. Ng 2 1 Hong Kong Observatory, Hong

More information

Short-term sea ice forecasts with the RASM-ESRL coupled model

Short-term sea ice forecasts with the RASM-ESRL coupled model Short-term sea ice forecasts with the RASM-ESRL coupled model A testbed for improving simulations of ocean-iceatmosphere interactions in the marginal ice zone Amy Solomon 12, Janet Intrieri 2, Mimi Hughes

More information

The Impact of Horizontal Resolution and Ensemble Size on Probabilistic Forecasts of Precipitation by the ECMWF EPS

The Impact of Horizontal Resolution and Ensemble Size on Probabilistic Forecasts of Precipitation by the ECMWF EPS The Impact of Horizontal Resolution and Ensemble Size on Probabilistic Forecasts of Precipitation by the ECMWF EPS S. L. Mullen Univ. of Arizona R. Buizza ECMWF University of Wisconsin Predictability Workshop,

More information

Utilising Radar and Satellite Based Nowcasting Tools for Aviation Purposes in South Africa. Erik Becker

Utilising Radar and Satellite Based Nowcasting Tools for Aviation Purposes in South Africa. Erik Becker Utilising Radar and Satellite Based Nowcasting Tools for Aviation Purposes in South Africa Erik Becker Morné Gijben, Mary-Jane Bopape, Stephanie Landman South African Weather Service: Nowcasting and Very

More information

WMO AMDAR Programme Overview

WMO AMDAR Programme Overview WMO AMDAR Programme Overview Bryce Ford - presenting on behalf of WMO and NOAA FPAW Nov 1, 2012 The WMO AMDAR Program AMDAR Programme Current Status WMO World Meteorological Organization (http://www.wmo.int)

More information

AMPS Update June 2016

AMPS Update June 2016 AMPS Update June 2016 Kevin W. Manning Jordan G. Powers Mesoscale and Microscale Meteorology Laboratory National Center for Atmospheric Research Boulder, CO 11 th Antarctic Meteorological Observation,

More information