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NCEP Polar Prediction Activities and Science Challenges
Dr. David Novak Mr. Joseph SienkiewiczScience and Operations Officer Chief, Ocean Applications BranchHydrometeorological Prediction Center Ocean Prediction Center
National Centers for Environmental Prediction
WWRP THORPEX Polar Workshop
Oslo, Norway
October 6, 2010
Outline
• Operational forecast services– North Atlantic and Pacific– Alaska– Arctic
• Science Challenges– Observations and Verification– Ocean – Atmosphere Interaction– Predictability– Climate – Weather Interface
2
3
North Atlantic and Pacific Forecast Services
Ocean Prediction Center
http://www.opc.ncep.noaa.gov/
-High Seas -Warnings and Forecasts - Cyclone, wind and wave focus - Safety Of Life At Sea (SOLAS)- subtropics to low Arctic
- Coastal Guidance- Operational Oceanography
- portal -analyses / forecasts
Alaska Forecast ServicesNCEP/Hydrometeorological Prediction Center Guidance
Land-based human forecast guidance for the Day 3-8 period.
Selective consensus/weighting of suite of international model guidance solutions
Surface Guidance
Forecast DiscussionsSensible Weather Element GuidanceSurface Analysis
http://www.hpc.ncep.noaa.gov/alaska/akmedr.shtml
Alaska Forecast ServicesWeather Forecast Offices
6 km grid of Sensible WeatherWatch / Warning / Advisories
•Weather Forecast Offices responsible for watches, warnings, advisories and the local forecast (text, graphical, and gridded)
•Human forecasters interpret observational network, NCEP guidance, and local models to make forecasts
• Supported USCG Hamilton on Arctic Mission Sep 2008• First USCG non-ice breaking/hardened hull in Arctic
• Anticipate growing presence and support in Arctic• Working with NWS Alaska Region• Ice services, analysis and prediction• Oceanographic analyses and forecasts• Meteorological services (observation / prediction)• NOAA Ecological services
Arctic Marine Weather Services
Operations require: “accurate real-time information to mariners on weather, ocean, and ice conditions”1
1Report to Congress, U.S. Coast Guard Polar Operations
NCEP/Ocean Prediction Center Guidance
6
NWS Alaska Region and Ocean Prediction Center Arctic Web Pagehttp://arctic.arh.noaa.gov/
GEFS Ensemble Probability winds 25 kt or higher
Navy NCOM Ocean Surface CurrentNOAA OI SST with Ice Edge
- Marine focused human forecast guidance - Day 1-5- Oceanographic and probabilistic guidance to Day 3
Local Office
NCEP Service Centers and ModelsService Drives the Science
Climate/WeatherLinkage
Forecast Forecast UncertaintyUncertaintyForecast Forecast UncertaintyUncertainty
MinutesMinutes
HoursHours
DaysDays
1 Week1 Week
2 Week2 Week
MonthsMonths
SeasonsSeasons
YearsYears
North American Ensemble Forecast System
Lea
d T
ime
Lea
d T
ime
WarningsWarnings
WatchesWatches
ForecastsForecasts
Threats
GuidanceGuidance
OutlookOutlook
Benefits
Short-Range Ensemble Forecast Ocean ModelWave and Ice
Global Forecast System
North American Forecast
Rapid Update Cycle
Dispersion Models for DHS-GFDL -WRF
Mar
itim
eM
arit
ime
Mar
itim
eM
arit
ime
Lif
e &
Pro
pert
yL
ife
& P
rope
rty
Lif
e &
Pro
pert
yL
ife
& P
rope
rty
Spa
ce O
pera
tion
sS
pace
Ope
rati
ons
Spa
ce O
pera
tion
sS
pace
Ope
rati
ons
Rec
reat
ion
Rec
reat
ion
Rec
reat
ion
Rec
reat
ion
Eco
syst
emE
cosy
stem
Eco
syst
emE
cosy
stem
Env
iron
men
tE
nvir
onm
ent
Env
iron
men
tE
nvir
onm
ent
Em
erge
ncy
Mgm
t E
mer
genc
y M
gmt
Em
erge
ncy
Mgm
t E
mer
genc
y M
gmt
Agr
icul
ture
Agr
icul
ture
Agr
icul
ture
Agr
icul
ture
Res
ervo
ir C
ontr
olR
eser
voir
Con
trol
Res
ervo
ir C
ontr
olR
eser
voir
Con
trol
Ene
rgy
Pla
nnin
gE
nerg
y P
lann
ing
Ene
rgy
Pla
nnin
gE
nerg
y P
lann
ing
Com
mer
ceC
omm
erce
Com
mer
ceC
omm
erce
Hyd
ropo
wer
Hyd
ropo
wer
Hyd
ropo
wer
Hyd
ropo
wer
Fir
e W
eath
erF
ire
Wea
ther
Fir
e W
eath
erF
ire
Wea
ther
Hea
lth
Hea
lth
Hea
lth
Hea
lth
Avi
atio
nA
viat
ion
Avi
atio
nA
viat
ion
8
Hurricane Models
Service Centers
Climate Forecast System (EUROSIP)
HPC
OPC
TPC
SPC
SWPC
CPC
AWC
• Observations and Verification– Hazards focused
• Ocean Atmosphere– Ocean and sea-ice modeling– Fluxes
• Predictability– Mesoscale modeling– Ensembles and ensemble applications– Targeted observations
• Climate – Weather Interface– Earth System Models
Science Challenges
9
10
Observations and Verification
• Limited conventional surface / upper air
• Majority are remotely sensed• Harsh environment• Need hazard-focused obs
(blowing snow, high winds, ice character, orographic precipitation)
Global Rawinsondes Marine Obs -- 12 Hour Total
Aircraft Wind/Temp Reports
Polar Satellite Radiances (just 2 sat) Drift Winds from Geostationary Satellites
DMSP Imager – Sfc winds/PW
Improved Polar observations Improved prediction and applications
11
Air Quality
WRF NMM/ARWWorkstation WRF
WRF: ARW, NMMETA, RSM GFS, Canadian Global, FNMOC
Regional NAM
WRF NMM
North American Ensemble Forecast System
Hurricane GFDLHWRF
GlobalForecastSystem
Dispersion
ARL/HYSPLIT
Forecast
Severe Weather
Rapid Updatefor Aviation
ClimateCFS
Short-RangeEnsemble Forecast
MOM3
NOAH Land Surface Model
Coupled
Global DataAssimilation
OceansHYCOM
WaveWatch III
NAM/CMAQ
11
Reg
iona
lD
A
Reg
iona
lD
A
Satellites + Radar99.9%
3.5B Obs/Day
Observations and the Model Production Suite
Ocean – AtmosphereNCEP Real Time Ocean Forecast System (RTOFS)
– (1/12 deg HYCOM)NOAA requires a global eddy-resolving ocean model
12
Ocean – AtmosphereMulti-Grid WAVEWATCH III
• Domain expanded to 82.5 deg N in 2009 from 76 deg N• Extension requested by NWS Alaska Region
•diminished ice coverage• waves impacting Alaskan Coast causing erosion
•4 minute coastal grids for AK• Polar cap extension of NWW3 in a year or so
•Working with NRL on a curvilinear version
• 20 member global ensemble• 20 member Navy FNMOC
Wave to be added
13
Ocean – AtmosphereExtratropical Storm Surge
Coastal erosion due to:- Reduced sea ice- Increased wave action-Melting permafrost
Pt. Barrow
- Developed by NWS Meteorological Development Lab (MDL)- GFS forcing- Hourly output to 96 hrs- No ice, tides
14
Ocean – AtmosphereSea Ice Efforts
NCEP Daily Ice Analysishttp://polar.ncep.noaa.gov/seaice/Analyses.html
Microwave based AMSR-E/SSMI12.7 km resolution
Daily concentration productInput to models and forecasters
NCEP Ice Drift Modelhttp://polar.ncep.noaa.gov/seaice/Forecasts.html
Grumbine, R. W., Virtual Floe Ice Drift Forecast Model Intercomparison, Weather and Forecasting, 13, 886-890,
1998
Sea Ice for NCEP GFS3 layer thermodynamic model since May 2005
Sea ice concentration prescribedSea ice/snow thickness predicted
Planning for improvements beginning Dec 2010
Sea Ice for NCEP CFSModified GFDL Sea Ice Simulator
Dynamics - Hunke and Dukowicz (1997)Thermodynamics – Winton 2000
NAM• 6 hourly updating
forecasts out to 84 h• Expanded 12 km Domain
to include Polar Regions with additional 4 km nests
Rapid Refresh• Hourly updating
forecasts out to 18 h• Expanded 13 km
Domain to include Polar Regions
WRF-Rapid Refresh domain – 2010
Original CONUS domain
Experimental 3 km HRRR
16
PredictabilityMesoscale Modeling
SREF• 6 hourly updating 21
member ensemble forecasts out to 87 h
• Expanded 32 km Domain to include Polar Regions
model domain (dash)
output domain (solid)
High-impact weather is often a mesoscale phenomenon
4 km
PredictabilityShort Range Ensemble Forecast System
17
– Concept - Multi-model moderate resolution (32 km) ensemble for short-range high-impact events
– Ensemble generation – 21 members (4 different models)
– 32 km
– Four times daily with forecasts out to 87 hours
– Products – Wide variety of traditional and specific applications (aviation, fire weather, winter weather, etc)
Prob Vis < ½ mile Prob Blizzard
PredictabilityNorth American Ensemble Forecast System
18
– Concept - Combines MSC and NWS global ensembles to improve probabilistic forecasts
– Increased ensemble size– Multi-model, -perturbation, and -physics
– Ensemble generation – 42 members – 70 km for NWS model, 100 km for MSC model– Twice daily with forecasts out to 16 days
– Data exchange – 80 variables
– Basic products – Bias corrected ensemble, climate anomaly forecasts, probabilistic forecasts (10%, 90% and ensemble mean, medium, mode and spread)
– Derived products – Downscaled products (5 km), Week-2 temperature, web displays, etc
Raw NCEP
NAEFS + FNMOCStat. corr.
NAEFS
Combined NCEP – CMC (NAEFS) show further increase in skill (6.2d)
Addition of FNMOC to NAEFS leads to modest improvement (6.7d)
Raw NCEP ensemble has modest skill (3.4d)
Statistically corrected NCEP ensemble has improved skill (4.8d)
0.5 CRPS skill
Value-added by including FNMOC ensemble into NAEFS T2m: Against analysis (NCEP’s evaluation, 4 of 4)
PredictabilityValue-added by Multi-center Approach
19
January 2011
20
• Add FNMOC ensemble in January 2011
• Improve basic products – adopt new methods (such as Bayesian Methods
• Add new derived products
• Bias correct all model output variables on model native grid (~200, 2-3 yrs)
• Downscale elements
• Extend applications – Intra-seasonal, regional, wave, hydro (river) ensembles
• Possible Polar Enhancements
– Additional elements
– Polar-centric domains
PredictabilityNAEFS Plans
Example Polar GEM domain
21
Predictability NAEFS & THORPEX
NAEFS prototype ensemble component of THORPEX Global Interactive Forecast System (GIFS)
THORpex Interactive GrandGlobal Ensemble (TIGGE)
North American EnsembleForecast System (NAEFS)
Articulatesoperational needs
TransfersNew methods
Day -4-6
RAWIN
Russia
Day -3-5
G-IV
Day -1-3
C-130
G-IV
CONUS
VR
Day -5-6
E-AMDAR
Alaska
VR
Winter T-PARC - take additional observations as the perturbation propagates downstream into Arctic and North America
Winter T-PARC 2009 – A THORPEX field campaign
Lead by NCEP
Multi-agency coordination
PredictabilityTargeted Observations
23
PredictabilityTargeted Observation Verification
Variable# cases
improved#cases
degraded
Surface pressure
37 15
Temperature 35 17
Vector Wind 36 16
Humidity 28 24
OVERALL75% cases improved
0% cases neutral 25% cases degraded
Courtesy Yucheng Song (EMC)
Winter T-PARC (2009) NCEP WSR Program (2005-2008)
Variable# cases
improved#cases
degraded
Surface pressure
79 49
Temperature 87 40
Vector Wind 90 38
Humidity 78 51
OVERALL71% cases improved
1% cases neutral28% cases degraded
Consistent with studies (e.g., Langland 2005; Buizza et al. 2007; Cardinali et al. 2007; Irvine et al. 2010)
Land
Ocean
For All Applications
Atmosphere
Cryosphere
Climate – Weather InterfaceFully Coupled Earth System Model
24
Chemistry Biology
25
Analysis--------------
Ocean-------------
Wind Waves--------------
LSM----------------
Ens. Gen.--------------Ecosystem--------------
Etc
Physics(1,2,3)
ESMF Utilities(clock, error handling, etc)
Bias CorrectorPost processor & Product Generator
VerificationResolution change
1-11-21-32-12-22-3
ESMF Superstructure(component definitions, “mpi” communications, etc)
Multi-component ensemble+
Stochastic forcing
Coupler1Coupler2Coupler3Coupler4Coupler5Coupler6
Etc.
Dynamics(1,2)
Application Driver
NOAA Environmental Modeling System (NEMS)
* Earth System Modeling Framework (NCAR/CISL, NASA/GMAO, Navy (NRL), NCEP/EMC), NOAA/GFDL
1, 2, 3 etc: NCEP supported thru NUOPC, NASA, NCAR or NOAA institutional commitments
Atmospheric Model
Chemistry
Attribute Operational Configuration Q1FY11 Configuration
Analysis Resolution 200 km 38 km
Atmosphere model 1995: 200 km/28 levels
Humidity based clouds
100 km/64 levels
Variable CO2
AER SW & LW radiation
Prognostic clouds & liquid water
Retuned mountain blocking
Convective gravity wave drag
Ocean model MOM-3: 60N-65S
1/3 x 1 deg.
Assim depth 750 m
MOM-4 fully global
¼ x ½ deg.
Assim depth 4737 m
Land surface model (LSM) and assimilation
2-level LSM
No separate land data assim
4 level Noah model
GLDAS driven by obs precip
Sea ice Climatology Daily analysis and Prognostic sea ice
Coupling Daily 30 minutes
Data assimilation Retrieved soundings, 1995 analysis, uncoupled background
Radiances assimilated, 2008 GSI, coupled background
Reforecasts 15/month seasonal output 25/month (seasonal)
124/month (week 3-6) 26
Climate Forecast System (CFS) Version 2January 2011
CFS v1 CFS v2C
orre
latio
n
Day
Day
Cor
rela
tion
Climate – Weather Interface Climate Forecast System Version 2
• Major upgrade in Jan 2011: – Higher resolution for all earth system components;
– Atmospheric assimilation @ T574L64, coupled to 40-level MOM4 ocean model, interactive 3 layer sea-ice model and 4 soil level land model
– Daily real time, fully coupled and fully calibrated T126L64 forecasts, will include 4 runs to 9-months, 3 runs to 1 season, and 9 runs to 45 days.
– Has skill in predicting ENSO on seasonal time scales and MJO in the week2-week4 range.
Courtesy: Qin Zhang, CPC
Summary
• Increasing service requirements for the poles
• Enhance observations necessary for improved polar prediction
• Understanding and predicting Ocean – Atmosphere interaction a necessity
• Development of high-resolution and ensemble models and service applications ongoing
• Working towards fully coupled Earth System Model 28
Pan-Am Global or tri-polar Grid (4500 x 3928)
Arctic bi-polar patch above 47 N, Mercator grid 78.6 S – 47 N
Coastline at 10 m isobath
Open Bering Strait
32 layers, first z-level 3m
17 minutes per model day forecast on 1001 sp5 cpu’s
Time step = 180 s (baroclinic)
NCODA for preparing initialization fields (at NAVO)
NCEP Real Time Ocean Forecast System (RTOFS) – (1/12 deg HYCOM)
Access to NCEP Products/ServicesNOMADS
• NOMADS – NOAA National Operational Model Archive and Distribution System
– A digital archive and real time distribution of NOAA’s operational weather models
– geographically-diverse backup server to ensure operational availability
– Built on “pull” technology
– Operational February 2009
• Portal for Climate Forecast System Reanalysis (1979-2010)– Created with fully coupled CFSv2
– 1°x 1° grid spacing30