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NCEP Update. Dr. Louis W. Uccellini Director, National Centers for Environmental Prediction. “Where America’s Climate, Weather and Ocean Services Begin”. St. Louis Weather Forecast Office October 5, 2005. Outline. Define NCEP Computing summary Model Activity WRF Service Centers - PowerPoint PPT Presentation
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NCEP Update
“Where America’s Climate, Weather and Ocean Services Begin”
St. Louis Weather Forecast Office
October 5, 2005
Dr. Louis W. Uccellini
Director, National Centers for Environmental Prediction
Outline
• Define NCEP• Computing summary• Model Activity
– WRF
• Service Centers• Focus on HPC
– NDFD– Winter Weather Desk
• SREF
• Summary
Define NCEP
NCEP Supports the NOAA Seamless Suite of Climate Weather and Ocean Products
Mission: NCEP delivers analyses, guidance, forecasts and warnings for weather, ocean, climate, water, land surface and space weather to the nation and the world. NCEP provides science-based products and services through collaboration with partners and users to protect life and property, enhance the nation’s economy and support the nation’s growing need for environmental information.
Space Environment Center
Storm Prediction Center
Aviation Weather Center NCEP Central Operations Climate Prediction Center Environmental Modeling Center Hydrometeorological Prediction Center Ocean Prediction Center
Tropical Prediction Center
Vision: Striving to be America’s first choice, first alert and preferred partner for climate, weather and ocean prediction services.
Organization: Central component of NOAA National Weather Service
What Does NCEP Do?
Model Development, Implementation and Applications for Global and Regional Weather, Climate, Oceans and now Space WeatherInternational Partnerships in Ensemble ForecastsData Assimilation including the Joint Center for Satellite Data AssimilationSuper Computer, Workstation and Network Operations
“From the Sun to the Sea”
• Solar Monitoring, Warnings and Forecasts
• Climate Forecasts: Weekly to Seasonal to Interannual
• El Nino – La Nina Forecast
• Weather Forecasts to Day 7
• Hurricanes, Severe Weather, Snowstorms, Fire Weather
• Aviation (Turbulence, Icing)
• High Seas Forecasts and Warnings
Seamless Suite of Products
Tra
nsp
ort
atio
nT
ran
spo
rta
tion
Tra
nsp
ort
atio
nT
ran
spo
rta
tion
Fo
reca
st
Lea
d T
ime
Fo
reca
st
Lea
d T
ime
Warnings & Alert Warnings & Alert CoordinationCoordination
WatchesWatches
ForecastsForecasts
Threats Assessments
GuidanceGuidance
OutlookOutlook
Pro
tect
ion
of
Pro
tect
ion
of
Life
& P
rop
ert
yL
ife &
Pro
pe
rty
Pro
tect
ion
of
Pro
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of
Life
& P
rop
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yL
ife &
Pro
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Sp
ace
S
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ce
Op
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tion
Op
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Sp
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S
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Op
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Op
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Re
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ecr
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ecr
ea
tion
Eco
syst
em
Eco
syst
em
Eco
syst
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Eco
syst
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Sta
te/L
oca
l S
tate
/Lo
cal
Pla
nn
ing
Pla
nn
ing
Sta
te/L
oca
l S
tate
/Lo
cal
Pla
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Pla
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En
viro
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en
tE
nvi
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me
nt
En
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tE
nvi
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me
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Flo
od
Miti
ga
tion
F
loo
d M
itig
atio
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& N
avi
ga
tion
& N
avi
ga
tion
Flo
od
Miti
ga
tion
F
loo
d M
itig
atio
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& N
avi
ga
tion
& N
avi
ga
tion
Ag
ricu
lture
Ag
ricu
lture
Ag
ricu
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Ag
ricu
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Re
serv
oir
Re
serv
oir
Co
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ol
Co
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Re
serv
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Re
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Co
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Co
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En
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yE
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En
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yE
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rgy
Co
mm
erc
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Co
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Benefits
Hyd
rop
ow
er
Hyd
rop
ow
er
Hyd
rop
ow
er
Hyd
rop
ow
er
Fire
We
ath
er
Fire
We
ath
er
Fire
We
ath
er
Fire
We
ath
er
He
alth
He
alth
He
alth
He
alth
Forecast Forecast UncertaintyUncertaintyForecast Forecast UncertaintyUncertainty
MinutesMinutes
HoursHours
DaysDays
1 Week1 Week
2 Week2 Week
MonthsMonths
SeasonsSeasons
YearsYears
NOAA Seamless Suite of ForecastProducts Spanning Climate and Weather
Weather Prediction Products
Climate PredictionProducts
Air
Qu
alit
yA
ir Q
ua
lity
Air
Qu
alit
yA
ir Q
ua
lity
Computing Summary
Computing Capability
Commissioned/Operational IBM Supercomputer in Gaithersburg, MD (June 6, 2003)
$26.4M/Year $26.4M/Year InvestmentInvestment
•Receives Over 210 Million Global Observations Daily•Sustained Computational Speed: 1.485 Trillion Calculations/Sec•Generates More Than 5.7 Million Model Fields Each Day•Global Models (Weather, Ocean, Climate)•Regional Models (Aviation, Severe Weather, Fire Weather)•Hazards Models (Hurricane, Volcanic Ash, Dispersion)•3.2x upgrade operational on January 25, 2005•Backup in Fairmont, WV operational January 25, 2005
NCEP Production SuiteWeather, Ocean & Climate Forecast Systems
Version 3.0 April 9, 2004
0
20
40
60
80
100
0:00 0:30 1:00 1:30 2:00 2:30 3:00 3:30 4:00 4:30 5:00 5:30 6:00
6 Hour Cycle
Per
cent
Use
d
RUCFIREWXWAVESHUR/HRWGFSfcstGFSanalGFSensETAfcstETAanalSREFAir QualityOCEANMonthlySeasonal
RUC GFS Anl Hur
GFS FcstNAM Fcst
NAM Anl Waves
SREF GENS
Climate Forecast System
Product Generation Performance
Model Activity
2005 Implementations
•Weather
•Hurricane Model resolution increase 18 9 km
•Global Model resolution increase 55 35 km
•Rapid Update Cycle resolution increase 20 13 km
•Global Ensemble upgrade
•North American Meso-Scale upgrade
2005 Implementations (Cont.)
•Climate•Additional daily run of Climate Forecast System (from 1 2)
•First fully coupled global ocean/atmosphere model
•Air Quality•Expand Air Quality Forecast from Northeast U.S. to Eastern U.S.
FY2006 Activities•Ocean
•Wave Model•10 member Ensemble Wave model – Spring (06)
•Great Lakes Wave Forecast – Summer (06)
•Real-Time Ocean Forecast System (RTOFS)
• HYCOM-based, 1/12 degree North Atlantic Basin – Fall (05)
Chesapeake Bay
FY2006 Activities
•Global Forecast System (GFS) – Spring (06)•GSI data assimilation•Apply hybrid sigma-pressure coordinate model
•WRF – Spring (06) *•WRF based North America Mesoscale Run (Replaces Eta Model)
•GFDL Hurricane Model – Spring (06)•Begin parallel runs of Hurricane WRF system
GFS
CFS
GFDL
SREF
NAM - Eta
NOAH Land Surface Model
Dispersion
Air Quality
2005 NCEP Production Suite Atmospheric Model Dependencies
Forecast
GGSI
WRF-NMMWRF-ARWETARSM
L D A S
Sev Wx
WRF-NMMWRF-ARW
GENS
EDAS
RUC
WRF Implementation Schedule
• “HiResWindow” for Hazardous Weather: (ARW and NMM) Implemented operationally at NCEP on 6/28/05 (~5 km)
• WRF SREF members: Operational FY06 (1st Qtr)
• North American WRF: Operational in FY06 (3rd Qtr)
• WRF SREF: Fully Operational in FY07*
• Hurricane WRF: Operational in FY07*
• Rapid Refresh WRF: Operational in FY07*
• WRF Chem: Beyond FY08** As resources allow
GFS
CFS
HurricaneWRF
SREF
NAM - WRF
NOAH Land Surface Model
Dispersion
Chem WRF*Air Quality
2007 NCEP Production Suite Atmospheric Model Dependencies
Forecast
Rapid Refresh WRF
GGSI
RGSI
WRF-NMMWRF-ARWRSM ?
L D A S
Sev Wx
WRF-NMMWRF-ARW
*FY08
GENS
WRF in NAM
• Planned replacement of the Eta and its EDAS system with WRF-NMM and a WRF-GSI based NAM Data Assimilation System (NDAS) - March 2006
• WRF-NMM is the NMM put into WRF common modeling framework
• NMM represents an evolutionary change: – Nonhydrostatic dynamics (can be turned off)– Terrain following coordinate instead of step-mountains (this has
always been an option within the Eta code)– Tweaks / tunings to bring out “character” in QPF, etc.
• WRF product set is identical with same names (BUFR sounding files extended to 84 hours)
North American Mesoscale WRF
• Horizontal resolution to increase from 12 km to 10 km• Model top to move from 25 mb to 2 mb (will help with
assimilation of satellite radiances)• Levels stay at 60 – despite move of model top this is
enough because of the switch from step mountain to terrain following coordinate
• Eta 3D-VAR to be replaced by Gridpoint Statistical Interpolation (GSI) – robust 3D-VAR scheme with no step mountains
• Will assimilate mesonets, GPS IPW, boundary layer Profilers and (hopefully) Level II radial velocity
• These are modest upgrade changes by previous standards
Fire Weather IMET Support
8 km NMM captures CA coastal windsGreen – model windsRed – observed winds
12 km NAM 8 km NMM
4 km WRF-EM (F25)
12 km NAM (F13)1h BREF (01Z)
4.5 km WRF-NMM (F25)
1h Tot Pcp
1h Tot Pcp1h Tot Pcp
Service Center Activities
• WAFS Significant Weather implemented in BUFR WAFS Significant Weather implemented in BUFR formatformat
• New Flight Path Tool implemented on ADDSNew Flight Path Tool implemented on ADDS• Dramatic improvement in number of Pilot Reports Dramatic improvement in number of Pilot Reports
filed through AWC webpagefiled through AWC webpage• Improvement in accuracy and usefulness of Improvement in accuracy and usefulness of
Collaborative Convective Forecast ProductsCollaborative Convective Forecast Products• Aviation thunderstorm advisory maps implemented Aviation thunderstorm advisory maps implemented
on NOAA websiteon NOAA website• Massive change to WMO headers of AWC productsMassive change to WMO headers of AWC products
Aviation Weather CenterAviation Weather Center
Climate Prediction Center
• Initiated Climate Test Bed infrastructure– Wayne Higgins –
Director
• CTB will accelerate the transfer of research and development into operational climate forecasts and products
Surface Analysis GFS 0600 UTC 03OCT2005
UWPBL4.1 Surface Analysis 0657 UTC 03OCT2005
12.5km QuikSCAT 0740 UTC 03October2005
GOES IR Satellite Image 0745UTC 03October2005
Ocean Prediction Center
• New automated technique developed by U of Wash using their boundary layer model to construct surface pressure analysis from Quikscat winds and available observations
GFS analysis U of Wash technique
Storm Prediction Center
• Now producing experimental 3-8 day graphical fire weather outlooks
• A short discussion will be added to the graphic when it becomes a Public Experimental Product (with PDD & comment period) in Spring 2006.
Tropical Prediction Center
• Experimental tropical cyclone surface wind speed probability– Tropical storm winds
(> 39 mph)
– > 58 mph winds
– Hurricane winds (>74 mph)
Space Environment Center• SEC formally joined NCEP/NWS/NOAA on January 9
– Their addition helps foster a seamless suite of operational products from the “Sun to the Sea”
• Provides space weather alerts and warnings for disturbances that can affect people and equipment working in space and on Earth
• Service/Science linkage offers many exciting challenges for future growth to insure the delivery of weather/ocean/climate products to a diverse and increasingly sophisticated user community.
Focus on HPC
Impact of Models on Day 1 Precipitation Scores
0
0.05
0.1
0.15
0.2
0.25
0.3
0.35
1991
1992
1993
1994
1995
1996
1997
1998
1999
2000
2001
2002
2003
Th
reat
Sco
re
Human(HPC)
ETA
Linear(Human(HPC))Linear (ETA)
HPC Forecasters Add Value
Models provide basis for improvement Correlations
Of HPC with:
Eta: 0.99GFS: 0.74NGM: 0.85
HPC/NDFD Highlights
• For decades HPC provided day 3 - 7 guidance– Max Temp, Min Temp, 24 hr
(later 12 hr) Pop, surface progs
• Spring 2004 - HPC asked to provide forecasts for additional fields including dew point, sky cover, wind direction and speed, and precipitation type
• HPC requested to deliver these forecasts as 5 km grids
• HPC began providing these fields in June 2004.
Methodology• HPC has 2 forecasters/shift preparing day 4 – 7 forecasts (one shift/day)
– One prepares surface progs and writes the narrative– Second prepares the max/min temperatures and PoPs
• HPC uses N-AWIPS to generate forecasts– Forecasters start with MOS max/min temps and MOS12 hr PoPs– Forecasters can edit 384 stations; usually edit ~ 20 - 25% of stations for a particular
forecast– Usually focus on areas they expect MOS to be deficient due to synoptic scale
considerations• No additional forecasters made available
– Additional fields increased the number of grids from 16 to 102• Only solution was to generate additional fields automatically• Basic philosophy is to generate a set of grids consistent with the manually generated forecasts
– Each additional field is generated from a manually prepared HPC product– Currently, these additional fields are not touched by a forecaster
Grid Production
• Max/min temperature grids are produced by interpolation of manually prepared point forecasts to a grid with Prism climatology as a background
• PoP grids are interpolated from HPC modified stations• Dew points use the HPC temperature forecasts and MOS
ensemble with Prism climatology as a background• Cloud cover is based on HPC PoPs and max temps• Winds are based on HPC surface progs• Precipitation type is based on HPC max/min temperature
forecasts and on PoPs (for aerial coverage)• WFOs provide input between “preliminary” and “final” product
release through 12Planet
Verification Results
• In general, HPC point forecasts are as good as or better than MOS and NDFD
• HPC winds are poorest of all HPC grids
• These results have been consistent from month to month
How HPC adds value to Day 4 - 7
• HPC shows 5 – 10% improvement over MOS
– Is this a good use of resources?
How HPC adds Value to Day 4 – 7 (Cont.)
• A “Big win” or “Big loss” occurs when HPC beats or looses to MOS by > 10 degrees.
• In those cases, HPC is better than MOS ~ 80 percent of the time (sample size ~ 35 - 40)
0102030405060708090
100
ALL CASES TOP 10 EACHCATEGORY
MINMAXPOP
HPC BIG WIN VS BIG LOSS
PERCENTAGES COMPARED TO GFS MOS 2004
% o
f ti
me
Issues
• Time of release of forecasts
– Some WFOs want HPC to issued grids earlier
• HPC starts with MOS rather than previous forecast
– Field prefers less “flip-flopping”
• How involved do forecasters need to be?
– Are post-processed grids good enough?
• Should HPC provide probabilistic info?
– QPF – exceedance values
– Day 4 – 7 – ranges in addition to “best guess”
• How is collaborative approach sustained?
Future Plans• Continued improvement of methodology
– Better algorithms for post processed fields
• Faster processing of grids for earlier delivery
– Better hardware
– Optimize processing
• Expand coverage to OCONUS
• Explore other ways of creating sensible weather grids
– Greater use of ensembles to create grids from selected blend
– Forecasters focus on model selection and modification
Winter Weather
Goals of 4 year experiment from 2001- 2004: Improve Winter Weather Services to the public through
coordination of the winter weather watches/warnings with National guidance products
Test short range ensemble for their applications to winter weather forecasting
Motivation: Jan 24-25, 2000; December 30, 2000: March 4-6, 2001
WWD “operational” September 15, 2004
NWS Winter Weather Desk
Regional Stats
ER WWE1 (01-02’)
WWE2 (02-03’)
WWE3 (03-04’)
WWD (04-05’)
# WFOs 8 23 23 ALL
POD .89 .90 .92 .92
FAR .33 .30 .32 .30
CSI .62 .65 M .66
LT–Warn 13 15 18 21
To date NWS FY05 LT is 18h, 3h greater than GPRA goal of 15h
CR WWE2 (02-03’)
WWE3 (03-04’)
WWD* (04-05’)
# WFOs 8 33 ALL
POD .90 .88 .92
FAR .40 .45 .32
CSI .57 .51 .65
LT–Warn 13 13 17
WR NonWWE3 (03-04’)
WWE3 (03-04’)
WWD* (04-05’)
# WFOs 12 10 ALL
POD .86 .88 .88
FAR .26 .27 .30
CSI .66 .67 .64
LT–Warn 12 14 16
SR NonWWE3 (03-04’)
WWE3 (03-04’)
WWD (04-05’)
# WFOs 4 11 ALL
POD .84 .92 .90
FAR .37 .38 .39
CSI .57 .59 .57
LT–Warn 5 9 9
* Oct - Mar
NWS Winter Weather Desk
Time line: Sep 15 – April 1 Participants
NCEP HPC Provide SREF based Winter Wx guidance Coordinate with WFOs (Chat Room Technology)
WFOs All CONUS WFOs Use guidance from NCEP to produce coordinated Winter Storm Watches/Warnings
Products: http://www.hpc.ncep.noaa.gov/wwd/winter_wx.shtml 24 h probability (low, moderate, high) of meeting/exceeding 4”, 8”, 12”
snow, 0.25” freezing rain (for day 1, 2, 3) 72h Low tracks graphic and discussion
Summary
Summary• Strive to continue ongoing improvements
• Develop partnerships– JCSDA– WRF– NOAA Ocean Plan– ESMF
• Expand Collaborative Forecast Process: NCEP – RFC – WFO – CSWU
• Apply ensembles and forecaster input to probabilisitic forecast products
Cou
nt (
mill
ions
Daily Satellite Observation Count
2002
2003-4
2005
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 and complete by Feb ‘08
Background Slides
Ops NAM
vs North
American
NMM valid
18Z 10 July
2005
78-h
66-h
54-h
Ops NAM
vs North
American
NMM valid
18Z 10 July
2005
42-h
30-h
18-h
Top: NAM, NMM 72h fcst valid 12z 7/17 w/TPC 5 day track issued 15z 7/14
Bottom: NAM, NMM 48h fcst valid 00z 7/20 w/TPC 3 day track issued 03z 7/18
Ops NAM NAM NMM
NATIONAL HURRICANE CENTER ATLANTIC TRACK FORECAST ERRORS
NATIONAL HURRICANE CENTER ATLANTIC TRACK FORECAST ERRORS
12 24 36 48 72 96 120
Forecast Period (hours)
0
100
200
300
400
500
Err
or
(nau
tica
l mile
s)
1964-1973
1984-1993
1974-1983
1994-20032003-2004Katrina(preliminary)
Rita(preliminary)