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William. M. Lapenta

Acting Director

Environmental Modeling Center NOAA/NWS/NCEP

With contributions from many EMC Staff ……

N C E P

Overview of the NCEP

Environmental Modeling Center

with an Emphasis on Climate

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The EMC Mission…..

Develop and Enhance numerical guidance

– Improve NCEP’s numerical forecast model systems via :

• Scientific upgrades

• Optimization

• Additional observations

Transition operational numerical forecast models from research to operations

– Transform & integrate

• Code

• Algorithms

• Techniques

– Manages and executes transition process including technical and system performance review before implementation

Maintain operational model suite

– The scientific correctness and integrity of operational forecast modeling systems

EMC location within the funnel

In response to operational requirements:

45%

25%

30%

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Forecast Forecast Uncertainty Uncertainty Forecast Forecast Uncertainty Uncertainty

Minutes Minutes

Hours Hours

Days Days

1 Week 1 Week

2 Week 2 Week

Months Months

Seasons Seasons

Years Years

NWS Seamless Suite of Forecast

Products Spanning Weather and Climate

F o re ca st L ea d T im e F o re ca st L ea d T im e

Warnings & Alert Warnings & Alert Coordination Coordination Watches Watches Forecasts Forecasts Threats Assessments

Guidance Guidance Outlook Outlook

Benefits

NCEP Model Perspective

Maritime Maritime Life & Property

Life & Property

Space Operations Space Operations

Recreation Recreation

Ecosystem Ecosystem

Environment Environment Emergency Mgm

t

Emergency Mgm t

Agriculture Agriculture Reservoir Control Reservoir Control Energy Planning

Energy Planning Com

merce Com

merce

Hydropower Hydropower Fire Weather

Fire Weather

Health Health Aviation

Aviation

•North American Ensemble Forecast System

•Climate Forecast System

•Short-Range Ensemble Forecast

•Global Forecast System

•North American Mesoscale

•Rapid Update Cycle for Aviation

•Dispersion Models for DHS

•Global Ensemble Forecast System

Hurricane WRF & GFDL Waves

Real Time Ocean Forecast System

Space Weather

Tsunami

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Time of the day (utc)

N u m b e r o f N o de s

00 06 12 18

Development Work January 2010

High Water Mark Fence

Production Suite on Supercomputer

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Time of the day (utc)

N u m b e r o f N o de s

00 06 12 18

Development Work

Production Suite on Supercomputer

December 2010

High Water Mark Fence

Capacity Change:

50% increase in production

80% decrease in development

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Time of the day (utc)

N u m b e r o f N o de s

00 06 12 18

Development Work on Supercomputer

December 2010

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The NCEP Climate Forecast System Reanalysis

Suranjana Saha, Shrinivas Moorthi, Hua-Lu Pan, Xingren Wu, Jiande Wang, Sudhir Nadiga, Patrick Tripp, Robert Kistler, John Woollen, David Behringer, Haixia Liu, Diane Stokes, Robert Grumbine, George Gayno, Jun Wang, Yu-Tai Hou, Hui-ya Chuang, Hann-Ming H. Juang, Joe Sela, Mark Iredell, Russ Treadon, Daryl Kleist, Paul Van Delst, Dennis Keyser, John Derber, Michael Ek, Jesse Meng, Helin Wei, Rongqian Yang, Stephen Lord, Huug van den Dool, Arun Kumar, Wanqiu Wang, Craig Long, Muthuvel Chelliah, Yan Xue, Boyin Huang, Jae-Kyung Schemm, Wesley Ebisuzaki, Roger Lin, Pingping Xie, Mingyue Chen, Shuntai Zhou, Wayne Higgins, Cheng-Zhi Zou, Quanhua Liu, Yong Chen, Yong Han, Lidia Cucurull, Richard W. Reynolds, Glenn Rutledge, Mitch Goldberg

Bulletin of the American Meteorological Society Volume 91, Issue 8, pp 1015-1057.

doi: 10.1175/2010BAMS3001.1

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Attribute Operational (Since 2004) Jan 2011

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)

Advancement of Climate Forecast System (CFS)

Planned for Q2FY11

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9 Month Seasonal 45 Day

Operational Configuration for the Climate Forecast System V2 (FY11)

0 UTC 6 UTC 12 UTC 18 UTC

A total of 16 CFS runs every day – 4 runs @ 9 months length – 3 runs @ 1 season

– 9 runs @ 45 days

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WH-MJO Index 09 Feb to 13 Mar

Preliminary Analysis Shows Improved WH MJO Signal in CFSV2

WH-MJO Index 09 Nov to 13 Dec CFS Operational

CFS Operational

CFS V2

CFS V2

WH-MJO Index 09 Feb to 13 Mar

WH-MJO Index 09 Nov to 13 Dec

S ki ll S ki ll S ki ll S ki ll

Days

Days

Days

Days

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Increasing Domination of

Ensemble Based Model Systems

Climate: Multi-Model Ensemble possibilities

– International MME products (with EUROSIP) – NCEP Climate Forecast System + GFDL

Climate Model+NCAR CSM

Mesoscale: Short Range Ensemble Forecasts

– WRF/ARW + WRF/NMM + RSM

Medium Range Weather: North American Ensemble Forecast System (NAEFS)

– GFS + MSC + Navy FNMOC NOGAPS

Experimental Enhanced Resolution Thunderstorm Outlooks Forecast Nino 3.4 SST Anomalies from CFS

Probability of Temperature over 30C over 24 hour period

(7 day forecast valid Sept 3-4, 2009)

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Land-Hydrology Team Mission

• Improve EMC Forecast Model performance and skill via land-surface component:

– NAM/WRF, HWRF, GFS, CFS, CFSRR/GLDAS, NARR (including NDAS and GDAS)

• Land model physics (Noah LSM): surface fluxes, soil, vegetation, snowpack, sfc- layer/PBL

• Land surface characteristics: Vegetation cover, soil type, albedo, emissivity,

roughness, etc

• Land state initial conditions: soil moisture &

temp, snowpack

• Climate Service Products (CPPA):

– NLDAS soil moisture

analysis/monitoring/prediction for NIDIS (drought)

– NLDAS soil moisture seasonal predictions

– CEOP (Global Model intercomparisons among

NWP centers; GEWEX program) 11

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June 1998 – drought year

Large similarity and small spread

EXTREMES: Monthly total column soil moisture anomalies and model spread (mm/month)

July 1993 – flood year

Similar characteristics and large spread

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Global HYCOM (RTOFS-Global)

– Adopting Navy 1/12° global HYCOM model using

• Daily initialization from NAVO.

• GFS forcing.

• Daily 7-8 day run with 2 day spin-up.

– NCO parallel started FY10Q4.

• Establish reliability of NAVO data feed.

• Establish compatibility of NCEP and Navy forcing.

• Develop products with customers.

– Full data on NOMADS.

– Become operational in FY2011Q4

Example surface currents from

MMAB parallel

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NOAA Environmental Modeling System

(NEMS)

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Questions Welcome

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