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3. Status ofWRF Operational Implementations
WRF Executive Oversight Board
U.S. Naval Observatory, Washington, D.C.
28 April 2006
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AFWA WRF Implementation
WRF ExOB 28 April 2006
Colonel John M. LanicciCommander
Distribution Authorized to U.S. Government Agencies and their Contractors only
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WRF Transition
Program Overview: WRF will support higher resolution, improved accuracy, and
more representative 4D M2M forecasts for command and control, mission planning/execution, and mission support systems
Improvements in mesoscale modeling will allow forecasters to focus greater attention on high-risk weather areas and high-risk aviation impact variables
Program Milestones and Schedule: WRF 2.0.3.1 Oct 2005 Extended Operational Testing
(EOT) begins WRF 2.1.2 Mar 2006 AFWA implementation for EOT AFWA IOC Summer 2006 First operational use AFWA FOC Late 2007 Full Operational Capability
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WRF TransitionEOT Status
AFWA currently running WRF in non-operational mode
Froze code and began operational testing in Oct 05 Testing two 5km and one 15km window in classified environment
Objective and subjective comparisons to MM5
Both real-time and seasonal test cases evaluated
Testing exposed some quality issues Upgraded to v2.1.2 in Mar 06 and extended testing timeline
Discovered some lingering quality issues
Optimized v2.1.2 to address those issues
Re-initiated operational testing on 24 Apr
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WRF IOC Testing27 Mar – 21 Apr
Category Overall Average # of responses High Low
Severe 3.2 58 5.0 2.0
Icing 3.4 9 4.0 2.0
Turbulence 3.0 2 3.0 3.0
Winds 3.5 25 4.0 2.0
Clouds 2.9 35 4.0 2.0
Precip 3.2 30 5.0 2.0
Temp 3.2 19 4.0 2.0
SLP 3.2 7 4.0 2.0
Visibility 2.7 18 3.0 2.0
Scale1= Much Worse 2 = Worse 3 = About the same 4 = Better 5 = Much better
G
G
G
G
R
G
G
G
R
Identified Strengths- WRF probability of detection of convection is higher. - WRF surface moisture convergence better defined where convection would occur.
- WRF outperforms MM5 in terms of high level cloud forecast.
- WRF outperforms MM5 in terms of surface winds and surface temperature.
- WRF surface wind forecast along frontal boundary was better at the 6-hour point.
Identified Weaknesses- False alarm rate on forecast convection is higher in terms of coverage and severity.
- WRF has a tendency to forecast large areas of convection in mountainous terrain that never occur. - WRF over forecasts low to middle level cloud coverage.
- MM5 outperforms WRF in terms of forecast visibility reduction associated with precipitation
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GO Index: Weighted skill scores of mission need parameters combined to form a single, integrated value.
Generalized Operations (GO) Index
13 Oct - 31 Mar
Weighting Scheme Persistence
Bet
ter
00Z cycles 06Z cycles 12Z cycles 18Z cycles
UNCLASSIFIED
WRF MM5 WRF MM5 WRF MM5 WRF MM5
Model Evaluation Period Cycle Theater # of days used # of SS used Index Type Lo HiWRF 102005-032006 00Z T04B 132 6334 1.27 GO 1.2142 1.3268MM5 102005-032006 00Z T04B 132 6334 1.3 GO 1.2414 1.3632
WRF 102005-032006 06Z T04B 132 6334 1.3054 GO 1.2479 1.364MM5 102005-032006 06Z T04B 132 6334 1.3355 GO 1.2734 1.3989
WRF 102005-032006 12Z T04B 133 6382 1.2824 GO 1.2263 1.3395MM5 102005-032006 12Z T04B 133 6382 1.2927 GO 1.2341 1.3525
WRF 102005-032006 18Z T04B 133 6382 1.3175 GO 1.2603 1.3758MM5 102005-032006 18Z T04B 133 6382 1.3452 GO 1.2845 1.407
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Joint Global Ensemble (JGE) 48/30 members, 1 1, 7 day, 2 cycle/day
FNMOC Medium Range Ensemble 18 NOGAPS runs (T119, 1 cycle/day)
NCEP Medium Range Ensemble 15 GFS runs (T126, 4 cycles/day)
Joint Mesoscale Ensemble (JME) 20 members, 15/5km, 60 hr, 2 cycles/day
JGE supports init./lat. boundary conditions Ensemble Transform initial conditions Multimodel (WRF-ARW, COAMPS) Varied model physics configurations Perturbed surface boundary conditions
Products: Tailored to support the warfighter planning processes
× 48 × 20
5 km
5km
15km
5km5km
15km
Joint Ensemble Forecast System (JEFS)
GOAL: Prove the value, utility, and operational feasibility of EF to DoD operations.
FOCUS: How to best exploit EF output within forecasting and decision processes.
Products: Tailored to operational wx sensitivities of the warfighter
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Notional Ensembling RoadmapJEFS and Beyond
1. AFWA/FNMOC Awarded HPCMPO Distributed Center Nov 03 ($4.2M)2. AFWA Awarded PET-CWO On-Site ($200K/yr)3. NRL Awarded mesoscale ensemble research ($1.6M)4. DTRA Ensemble Investment at AFWA: initial (FY05: $35K ), annual ($150K/yr)5. DTRA SBIR to develop reforecast dataset capability for calibration ($850K)6. ARL SBIR ($350K) to develop Weather Risk Analysis and Portrayal (WRAP), and AFWA UFR ($100K)7. NCAR & UW Contract, funded by AFWA Wx Fcst 3600 (FY05: $80K, FY06 $213K, FY07 $100K)
JEFS Design
1
2
6. ARL SIBR Phase II
JGE RDT&E
JME RDT&E
3 3. Probabilistic Pred. of High Impact Wx
6. Phase I
2. Programming Environment and Training - Climate Weather Ocean On-Site
Operational JGE
CONUS Ensemble Prediction System (EPS)
1. HPCMPO DC H/W
FY04 FY05 FY06 FY07 FY08 FY09 FY10 FY11
7. NCAR & UW Contract
4. DTRA Investment
H/W Refresh
OCONUS EPS Windows
5. Phase I 5. DTRA SIBR Phase II
JE
FS
En
d
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AFWA New Building
$30M in FY06 President’s Budget 188,000 square foot building Includes 16,000 square foot computer room
Flexible design accommodates transformational changes WFHQ, NOAA’s Operational Central Computer System
Contract Awarded to Kiewit Building Group, Inc on 15 Feb 2006 Ground breaking ceremony 24 Mar 2006 with occupancy in 2008 Need to ratify Memorandum of Understanding between NOAA
and AFWA - target June 2006
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NCEP Status of WRFOperational Implementation
Louis W. UccelliniDirector, NCEP
WRF ExOB MeetingWashington, DCApril 28, 2006
“Where America’s Climate, Weather and Ocean Prediction Services Begin”
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2005 Implementations
• HIRESW – June 28, 2005– Increase Resolution
• WRF-ARW Runs from 10km->5.8 km
• WRF-NMM Runs from 8km->5.1 km
– Turn Off Calls to Convective Parameterization
• Short Range Ensemble Forecast (SREF)– Addition of Six WRF Members – December 6, 2005
• 3 from ARW• 3 from NMM
– Fields Added for Testing in Supportof AWIPS OB-7
– Extension from 63 to 87 hours – August 31, 2005
– Grids Added Over Alaska and Hawaii
Preserves multi-modeldiversity
850T (8/25/05-9/24/05)
0.5
0.7
0.9
1.1
1.3
1.5
1.7
1.9
2.1
2.3
2.5
9 15 21 27 33 39 45 51 57 63
Forecast Hours
rms
e (
C)
15-mem
21-mem
12km NAM
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GFS
CFS
GFDL
SREF
NAM - Eta
NOAH Land Surface Model
Dispersion
Air Quality
2006 NCEP Production Suite Atmospheric Model Dependencies
Forecast
GGSI
WRF-NMMWRF-ARW
L D A S
Sev Wx
WRF-NMMWRF-ARW
NAEFS
EDAS
Rapid Update Cycle
Ensemble Hurricane
Global
Climate Regional
MOM3
HYCOMOcean
ETARSM
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Upcoming Implementations• Global Forecast System (GFS)
– Hybrid Sigma-Pressure GFS – 3rd Qtr FY2006
– Gridpoint Statistical Interpolation (GSI) Analysis, with AIRS & MODIS data – 3rd Qtr FY2006
• NAM– Replace Eta with WRF-NMM – 3rd Qtr
FY2006– Gridpoint Statistical Interpolation (GSI)– Availability of Level 2 Radar for WRF –
2nd Qtr FY2006• Real-Time Mesoscale Analysis – 3rd Qtr
FY2006– RTMA is First Component of Analysis
of Record (Hourly)– 5km Analysis in Support of NDFD
• Short Range Ensemble Forecast (SREF)– Run 4 Cycles Daily – 3rd Qtr FY2006– Bias Correction for Precipitation – 3rd
Qtr FY2006
• NAEFS – 3rd Qtr FY2006– Increase U.S. Membership from 10 14
Members– Bias Correction and Climate Anomaly
Forecasts– Implement Ensemble Transform Method– Significant file system changes
• Streamlining data files currently on server• http://www.nco.ncep.noaa.gov/pmb/changes/
• Air Quality Forecast– Expanded domain to CONUS – 4th Qtr
FY2006– Replace Eta with WRF-NMM -3rd Qtr
FY2006• RUC – 4 April 2006 (Tentative)
– 13 km GRIB2 Grids available on NOAAPORT
• Marine Wave Model– 10 member Ensemble Wave model – 3rd Qtr
FY2006– Great Lakes Wave model – 4th Qtr FY2006
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Rapid Refresh
GFS
CFS
Hurricane
SREF
WRF
NOAH Land Surface Model
Dispersion
WRF
Model Suite of the Future (2007-2008)
Forecast
GGSI
RGSI
WRF-NMMWRF-ARW
L D A S
Sev Wx
WRF-NMMWRF-ARW
NAEFS HYCOMOcean
MOM3
WRF
RSM?
NAM-
WRF
ChemAir Quality
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Major Paradigm ShiftWeather Research and Forecast Model
• Community model approach directed more at ensemble forecast system rather a 1-model deterministic approach
• Developmental Test Center (Boulder)– Outreach to academic community– Assessment of new model components
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Summary
• NCEP is– Undergoing a paradigm shift toward ensemble models in
all forecast applications, based on community model approach
• Has major implications for the WRF program
• Increasing resources will be applied to the SREF
– Implementing WRF-NMM to replace the ETA in O6
– Getting ready for 07 implementations
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NOAA Center for Weather and Climate Prediction
• Defined requirements for 268,762 RSF • Includes housing 800+ Federal employees, contractors, and
visiting scientists • 5 NCEP Centers• NESDIS research and satellite services• OAR Air Resources Laboratory
• Begin move to new facility September ’07; complete by April ’08
• Space for 40 visitors• Groundbreaking occurred
March 13, 2006
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End