Yubao Liu

advertisement

6 November 2008

2008 Briefings

National Security Applications Program

Next Generation Operational Mesoscale

NWP Technology

Yubao Liu

RTFDDA : Data Assimilation and Forecasts

All WMO/GTS

Wind Prof

GOES Radars

Modified WRF/MM5:

Dx/Dt = ... + GW (x obs

– x model

) where x = T, U, V, Q, P1, P2 …

W is weight function

RTFDDA

Regional-scale model, based on

WRF / MM5

Weather observations

Cold start

WRF/MM5

FDDA

Forecast t

MESONETs

Etc.

ACARS TAMDAR

NCAR RTFDDA Application Areas

• Olympics games

• Joint Urban 2003,

• Colorado wild fire

• FAA aviation weather

• Military operations

• Army test ranges

• Homeland security

• Xcel Energy

Collaborator

Universities:

CU, PSU, ASU, OU

UCAR:

MMM, CGD, UOP

RAL:

WSAP, HAP,

JNT, Aviation

• New York City

• 2005 Hurricanes

• AirDat TAMDAR

• …

12 Regular Operational RTFDDA Systems

20+ Special Operation Sites

RTFDDA, E-RTFDDA and Next-Gen

Next-Gen 4DWX 4D-EnKF System

 Build “proper” mesoscale ensembles - heterogeneous

Incorporate Kalman Gain to obs-nudging weights

 Optimize model physics parameterization

Ensemble RTFDDA (NCAR/RAL)

(Obs-nudging ensembles)

Improvement areas:

Spatial and time weights

 Diverse data sources

Model physics schemes

Hybrids:

3DVAR

 VDRAS

Grid-nudging FDDA

WRF/MM5-RTFDDA: Obs-nudging

DPG E-RTFDDA Operation (Debut on 10 Sep. 2007)

T Mean and SD

Surface and X-sections

– Mean, Spread, Exceedance

Probability, Spaghetti, …

T-2m

Wind

Speed

Mean T & Wind

Wind

Rose

Likelihood for SPD > 10m/s

Pin-point Surface and Profiles

– Mean, Spread, Exceedance probability, spaghetti, Wind roses, Histograms …

E-RTFDDA Characteristics

E-RTFDDA represents a milestone advance in RAL

NWP capabilities and an important R&D frontier

It is the first in the world in terms of

 continuous ensemble analysis and forecasting

 multi-scale, down to 1 - 3 km grid

 dynamic perturbation optimization

 globally-relocatable

 and a Next-Gen NWP dev-bed for integration of

“cutting-edge” data assimilation technologies.

RTFDDA-3DVAR Hybrid DA

All U, V, T, Qv observations and data QC

WRF-

RTFDDA

WRF-

3DVAR

WRF

Hybrid

Engine

Upper-air U, V, T, Qv + Radar, satellite and other indirect obs

StageIV

(OBS)

C3DRAD

CNFCST

HYBRID

6 hour rain accumulation ended at 18Z

13 June 2002

( mm )

WRF-RTFDDA-LES

2-meter T, 9h fcsts, 4 pm

Warm hilly eddies

3 km

6 nested grids

DX= 30/10/3.3/1.1/0.369

/ 0.123 km

30” terrain and land use

37 sigma levels

24h forecasts: 12Z 16

Apr – 12Z 17 Apr 2008

Cold ocean flows

Small-terrain wind streaks

Phil

D.C.

Balt

Atlantic

Ocean

Summary

 A robust NWP system built upon WRF

 Lead FDDA R&D in WRF community

 Application-oriented research of WRF physics parameterizations

 Develop advanced data assimilation approach to take the advantages of new achievements by Community and ESSL

 Customized NWP products according to specific needs of diverse decision makers and end-users

Questions and comments?

Download