Status of the NOAA WRF-CMAQ Regional Air Quality Forecast System
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Transcript of Status of the NOAA WRF-CMAQ Regional Air Quality Forecast System
Status of the NOAA WRF-CMAQ Regional Air Quality Forecast System
Jeff McQueen, Pius Lee, Marina Tsildulko, Geoff DiMegoSarah Lu and Bert Katz
NOAA/NCEPEnvironmental Modeling Center
Rohit Mathur, Hsin-Mu Lin, Daiwen Kang, George PouliotU.S. EPA/ORD/ASMD and NOAA/OAR/ARL
2006 Developments• WRF Transition
– Improved vertical coupling– Continued convective mixing & vertical layering tests– Continued lateral boundary condition tests
• CMAQ Improvements– Optimized Advection scheme– Emissions upgraded for 2006
• AQF system retrospective & Real-time testing– July 2005 with experimental CONUS configuration
• Real-time Verification– Spatial map comparisons to observations (03 & PBL hgt)– Inclusion of AIRNOW PM 2.5 observations– Use of ACARS, ESRL Profilers for PBL hgt verification– Inclusion of NESDIS GASP AOD products
• Improved Analyses & Visualizations– Focus group, TEXAQS06 & SHENAIR projects– Vertical gas-phase and aerosol chemistry profiles
NAM-WRF Implementation
• Major Components of Upgrade Package for NAM– Replace Eta Model with WRF version of NMM
(Nonhydrostatic Mesoscale Model)• WRF Common Modeling Infrastructure• Non-hydrostatic dynamics• Use of hybrid sigma-pressure vertical coordinate with top at 2 mb• Refined advection, diffusion, numerics and physics
– Replace Eta 3D-Var analysis with Gridpoint Statistical Interpolation (GSI) analysis
• Unified (regional + global) 3D-Variational analysis adapted to WRF• Begin use of background errors based on WRF-NMM to 2 mb• Use of new variable for moisture analysis• Use of tendency in constraint terms• Use of dynamically retuned observational errors
NAM-WRF Implementation
• Model initialization– Begin use of:
• high resolution (1/12th degree) SST• high resolution (4 km) snow
– Common specification of terrain, land-sea mask
• Data assimilation changes– Use of bias-corrected observed precipitation analysis
values in land-surface physics – Start assimilating
• WSR-88D Level II radial wind data• GPS-Integrated Precipitable Water (IPW)• NOAA-18 radiances
– Drop use of • GOES Precipitable Water retrievals• SSM/I Total Precipitable Water retrieval
Hybrid vs Step (Eta) Vertical Coordinate Systems
ground MSL
ground
Pressure domain
Sigma domain
δ = 0
δ= 1 η = 1
Ptop Ptopη= 0
HYBRID Step (Eta)
268 grid cells
259gridcells
East “3x” Domain
Forecast Domains (2006)
CONUS “5x” Domain1. WRF-CMAQ2. WRF-CMAQ-PM
2006 SystemsWRF-CMAQ 48 h forecasts
System Domain Vertical coupling
Convective mixing
LBCs
Operational
Prod: 06/12Z
32p, 45 min
Eastern U.S. (3X)
22L Loose: interp from WRF
Walcek (1980) RADM
GFS ozone at model top: 100mb
Experimental Para: 06/12Z
65p, 70 min
CONUS (5X) 22L Tight: Common hybrid
Asymetric Convective Model (ACM-Pleim)
Clean, static profiles
Developmental
Blue: 12Z
127p, 150 min
CONUS w/ PM (5X)
22L Tight:
Common hybrid
ACM-Pleim Clean, static profiles
Operational Physics Coupling
Current
Capability
Met Model (WRF/NMM)
AQ Model (CMAQ)
Core/Dynamics
Rotated Lat-Lon E Hybrid sigma-P
Arakawa C Grid Sigma-P
Cloud micro-physics
Full Ferrier Cloud Microphysics
NAM cloud water for aqueous chemistry
Convective mixing
Betts-Miller Janjic RADM: Entrainment from top turned off
Radiation Lacis-Hansen SW & LW
CMAQ J Tables
PBL Mellor-Yamada TKE NAM PBL hgt for Pleim-Xiu 1st order closure PBL
Land Surface NOAH common NAM canopy conductance terms for Pleim-Xiu LSM
Experimental CONUS Coupling
Run Summer 2006 PlannedPlannedDomain Interp to CMAQ Secant
Lambert-Conf. C gridCommon Rotated Lat-Lon E grid
Vertical Coordinate Common NMM Hybrid coord Common NMM Hybrid coord.
Improved vertical resolution
Photolysis NAM Sfc Radiation for Photolosis Scaling
3-D Radiative fluxes
PBL NAM PBL height into P-X NAM TKE/Kh to drive mixing
Clouds Aqueous
Mixing
NAM cloud water
Asymetric Convective Model (ACM) mixing
NAM cloud water,graupel & ice
GFS-RAS mixing into CMAQ
LBCs Clean, Static profiles GFS in strat, static below
PM from GFS-GOCART
0
100
200
300
400
500
600
700
800
900
1000
1100
Improved Vertical Coupling(Hsin-Mu Lin, EPA)
http://virtualskies.arc.nasa.gov/weather/tutorial/tutorial2d.html NAM 60L CMAQ 22L
Summer 2006 Evaluations(Errors not uncovered w/retro tests)
• Operation Runs: Ozone over-predictions esp. under cool, cloudy conditions
– WRF-Post temperature interpolation to CMAQ sigma errors
• Sigma level 1 and 2 temps were too warm for thermally stable conditions (near lakes, water bodies)
• STATUS: Crisis Fix implemented on July 28. 2006– Small impact on forecast Slightly less ozone
produced
– PREMAQ Emission Processing• Some arrays for mobile, point, area, biogenic sources were
undefined• Some point and mobile source emission files not upgraded
for 2006
• STATUS: Implemented 18Z August 22, 2006– Preliminary tests show minor impact
Impact of WRF temperature interpolation error on Oper CMAQ
Summer 2006 Evaluations(Errors not uncovered w/retro tests)
• Experimental/Developmental Runs: Significant under-prediction esp. near coasts, lakes
– PREMAQ Biogenic Isoprene emissions • Turned off for tight vertical coupled codes
• STATUS: Implemented in exper/dev runs on Aug. 5– Major impact on forecast Increased photochemistry esp. in
California
– PREMAQ Emission Files and Processing• Some arrays for mobile, point, area, biogenic sources were undefined• Some point and mobile source emission files not upgraded for 2006
• STATUS: Corrected in exper/dev run on August 5– Preliminary tests show minor impact
– PREMAQ Jacobian Calculations for vertical diffusivity• Status: Should be implemented at 12Z on Sept. 5, 2006
July 17,06 Ozone event (06Z forecast)
1h daily max valid 06z 7/18/06
3X loose coupled5X tight coupled
5X forecasts 1 category less than 3X in general
California AQ Forecasts
Impact of Isoprene Emissions Error on Exper. CMAQ
R. Mathur, EPA
MAX Hrly O3 Differences (Corr Tight – Old Tight)
Additional NAM ChangesImplemented August 15, 2006
• WRF-NAM PBL often too cool and moist esp. in complex terrain and over/near water bodies
• Over intense storms off West coast
• Corrections Made:– Increased vertical mixing for stable PBLs
– Turned on horizontal mixing at and near all coastal points and in complex terrain
– Fixed SST initializations at Western Lakes
• Double horizontal diffusion everywhere: to be implemented on Sept. 5, 2006
NAM vs NAM-Y evaluations2m Temperature forecast error (12 Z Cycle)
WESTERN U.S.OBS NAMNAM-Y
EASTERN U.S.
NAM vs NAM-Y evaluations2m Dewpoint Temperature forecast error
(12 Z Cycle)
WESTERN U.S.OBS NAMNAM-Y
EASTERN U.S.
NAM vs NAM-Y evaluations 10m WIND forecast error (12 Z Cycle)
WESTERN U.S.OBSNAM NAM-Y
EASTERN U.S.
NAM-CMAQ Aug 3 case
The importance of met driver to CMAQ forecasts
Cloud cover2 m Temperature
NAM-CMAQ Aug 3 case
The importance of met driver to CMAQ forecasts
Cloud cover2 m Temperature
O3 NAMY-NAM
CMAQ under-predictions in California
NAM Temperature NAM Vertical Motions
coast coast
California Ozone ForecastInland Along Coast Across Coast
N S coast
Impact of Lateral Boundary ConditionsCMAQ 3X (w/ GFS Top LBC) vs CMAQ 5x (w/ static, clean LBC)
Figure 2. Ozonesonde measurements (black line) and CMAQ operational 3X (red dashed) and developmenat CONUS (green dashed) ozone predictions for Wallops Island, VA at 18 UTC Feb. 10, 2006. Ozone reported in ppb. Model sigma pressure used as vertical axis.
Wallops Island Chicago
Summary
• Major errors in WRF-Post, biogenic emissions, PREMAQ code and emission files– Not found with retrospective testing– Delayed by final WRF retro configurations and
Summer 05 retro WRF NDAS runs
• True NAM & NAM-Y and vertical structure impact can be assessed on/after August 5 when major isoprene error was corrected
Proposed Plans for FY07• Current CONUS gas-phase run operational
• CONUS gas + aerosol run– Examine impacts of vertical resolution– “ “ Tight horizontal coupling– “ “ Convective mixing scheme in CMAQ– “ “ Direct WRF turbulence predictions for CMAQ PBL mixing
(e.g: TKE, exchange coefficients, Zi calculations…)
• Developmental run to cover Alaska, Hawaii ??– Include wild fire smoke emissions– GFS-GOCART aerosols for LBCs
• ShenAir evaluation
BACKUPS
• BACKUPS
Loose Old Tight Isoprene Fix Tight
Max.-8hr O3: 7/19/06
Max. 8 O3 7/19/06
Loose
Old Tight
Isoprene Fix Tight
2005 Retrospective Analyses
• Time Periods– 12Z July 9, 2005 – 12Z July 20, 2005 - Hurricane Dennis, East coast near exceedences– 12Z August 23, 2005 – 12Z August 30, 2005 - West Coast event
• Configuration:– WRF V2.1 initialized with fully cycled IC (restart file)– Use WRF EGRD3D post file to collapse to CMAQ vertical coordinate (22-40 layers, LCC C grid)– All runs with CMAQ gas-phase chemistry on CONUS domain
RETROSPECTIVE CONUS TESTINGRuns: P. Lee, M. Tsidulko
Analysis: R. Mathur, D. Kang, J. Pleim,…
• 2005 Base: 2005 Operational run• S0: Reflects changes due to NAM-X (WRF)• S1: S0 + Increased vertical layering• S2: S1/S0 + Convective mixing based on NAM-X
conv. Precip rates • S3: S1/S0 + PV ozone BCs• S4: S1/S0 + new mass continuity constraints• S5: S2+S3 (Conv + LBCs)• S6: S2+S4 (Conv + mass cont)• S7: S2+S3+S4 (Conv + LBCs + mass cont)
2005 Retrospective NAM-Eta and WRF(NAM-X)
Verification
• From 12 Z run, 24-48 hr forecasts • UPA : 00 Z valid time
• Low level temperatures: Sfc-700 mb• Low level Winds• Low level RH• 24 h Precip valid at 48 hrs
Precipitation Verification
EAST WEST
Retros Verification 2 m Temperature
EAST U.S. WEST U.S.
2005 Retros Verification 10 m RH
EAST WEST
2005 Retros Verification 10 m Winds
EAST WEST
2005 Retros Verification UPA CONUS Temperatures
RMSE BIAS
2005 Retros Verification UPA Winds RMSE /RH BIAS
Real-time Ozone Verification
• From 2005 3X and 5X 48 hr forecasts• 12 UTC cycle only• AIRNOW hrly ozone monitors• RMSE, BIAS, threat scores, hit rates
FVS O3 1h Aver. Aug 20051x - 3x - 5x over 3x domain
RMSE by Forecast Hour BIAS
Summer 2005 PerformanceSub-Region Bias
NE, SE Regions1X vs 3X 3X All Regions
1X
3X SE NE
LMV
Objective Verification July 26, 2005 Case
•Operational Run : NE US •8 hr daily max
• Experimental Run: Eastern 2/3 US
• 8 hr daily max
CONUS Domain Performance July 12, 2005 Case
• 8h daily max obs vs predicted
CONUS Domain Performance July 12, 2005 Case
Hurricane Dennis
NCEP Graphical Products
Predicted Sfc Ozone(1, 8h & daily max)
NAM Ventilation IndexNAM PBL hgt
Air Quality ForecastingUser Access
✔ Operational Eastern U.S. Domain :
✔ Public: NDGD and TOC ftp server
✔ Surface ozone predictions
✔ State Forecasters: HPC web site
✔ Sfc O3 & met plots
✔ Daily (2pm) conference calls
✔ HPC forecasters trained
✔ Experimental Domain (CONUS):
✔ Focus group: EMC web site
✔ Expanded met plots (pbl hgt, sw rad, ventilation index….)
✔ Sfc & upper level O3 and precurser plots (NOx, NOy,CO,SO2)
✔ Developmental Run (CONUS Aerosols)
✔ Sfc PM
Data Assimilation &Global System Tasks
• CMAQ data assimilation– Plan for surface ozone assimilation– Correlate sfc ozone w/ precursers (Nox VOCs)
• GFS-Chem: Provide Regional boundary conditions– Ozone:
• Include tropospheric product/loss rate terms• Test reduced ozone chemistry (U.Wisc-RAQMS)• Begin testing assimilation of AURA/OMI• CMAQ LBC impact studies
– Aerosols:• Include NASA-GOCART reduced biomass burning/dust and emission processes• Begin testing assimilation of MODIS & AURA/TESS• CMAQ LBC impact studies
Potential Collaborations
• Evaluation of NCEP WRF-CMAQ ozone & aerosol simulations– Experimental & rural obs networks (eg: ETOS,
AERONET, REALM lidar network)
– GOES/MODIS AOD satellite evaluation
• Assimilation of AIRNOW data • Improved cloud mixing, aqueos chemistry
PBL coupling with WRF-CMAQ• Testing of WRF-Chem on-line system
Operational Requirements• Driven by NCEP Operational Meteorological Model (NAM-WRF)• I/O Formats:
– Only machine binary, GRIB and BUFR, disk space limitations
• Time Requirement:– 12 Z 48 hour forecast available by 17:25 Z (1:25 pm EDT)– 06 Z 48 hour forecast available by 13:00 Z ( 9 am EDT)– 65 IBM Power 4 procs available– 12 Z start after Eta is complete (14:30 Z)
• Robustness:– Thoroughly tested & evaluated with retrospective and real-time
experimental runs– Available to NWS Gateway, NDGD: 99% reliability, 24x7 NCEP
support– Accuracy: 90% exceedence hit rate
Implementation Tasks
• Transfer parallel experimental system to Operations:– Complete agreed upon Charter w/ NCO– Provide additional NAM/GFS fields from Postprocessors– * Transfer upgraded CMAQ to EMC – Add internal documentation, refine scripts, adjust IO & dataset names– Support GRIB2 hrly gridded outputs– Perform retrospective tests w/ upgraded NAM– Perform real-time parallels w/ updated emissions files– System evaluation against AIRNOW w NCEP FVS– Prepare estimates of cpu/disk resources for NCO– Prepare Job Implementation Form (JIFs) requests to NCO:– Send out Change Notices, update web page change logs
• Maintain/improve operational graphics, verification plot web pages– May require additional output to GRIB files
Basic Feature Comparison (for NAM): WRF-NMM vs Meso Eta Model
Feature Meso Eta Model WRF-NMM
Vertical Advection schema
T, u, v, TKE: quadratic conservative, 2nd order
Water vapor and cloud water: piecewise linear (Mesinger and Jovic, 2002)
T, u, v: quadratic conservative, 2nd order
TKE, water vapor and total condensate: upstream, flux-corrected, positive definite, conservative (Janjic, 1997)
Basic Feature Comparison (for NAM): WRF-NMM vs Meso Eta Model
Feature Meso Eta Model WRF-NMMHorizontalDiffusion
2nd order “Smagorinsky-type” COAC= .27 w/ lower limit on deformation
forward, nonlinear 2nd order “Smagorinsky type” (Janjic, 1990) COAC= .075 with no limit deformation
VerticalDiffusion
Sfc layer: viscous sublayer, similarity theoryAbove sfc lyr: mod Mellor-Yamada Level 2.5 (Janjic,1994,1996, 2001)
Sfc layer: based on similarity theory, viscous sublayer over land/water (Janjic 1996; Chen et al. 1997) Above sfc lyr: 1-D prognostic TKE w/ local vertical mixing (Janjic,1990,1996,2001,2002)
Divergence damping
Coeff = 6.0 Grid-coupling=1.
Coeff = 5.7 Grid-coupling < 0.5
Physics Feature Comparison (for NAM): WRF-NMM vs Meso Eta Model
Physics Meso Eta Model WRF-NMM
PBL & Turbulent mixing
Mellor-Yamada Level 2.5 dry
Mellor-Yamada Level 2.5 w/ moist processes Density variations included (elim. Boussinesq approx.)
Surface exchange
…+ Paulson functions
…+ Holtslag and de Bruin functions
Sfc heat exchange mod
Land-Surface
NOAH LSM with 4 soil layers
May 2005 “glitch”
NOAH LSM with 4 soil layers
Fixed glitch
Basic Feature Comparison: Eta 3D-Var vs GSI
Feature Eta 3D-Var GSIGFS & WRF Connectable
No Yes
Unified use of satellite radiances (JCSDA)
No - OPTRANS
Yes – new CRTM
Background error GFS basedNMC method
NMM basedMonte-Carlo
Normalized RH as moisture analysis variable
No – uses specific humidity
Yes
Dynamic constraint using tendencies
No - simple thermal wind
Yes
Adaptively tuned ob errors
No Yes
Use of reported heights No YesBuilt-in cross-validation
No Yes
NCEP Operational NAM and Nest Grid Domains
• NAM: 12 km
4x/day to 84 hours
• One ARW at 6.1 km
• One NMM at 5.5 km
• 48 hr forecasts
• 00Z: AK, HI
• 06Z: West
• 12Z: Central
• 18Z: East, PR
http://www.emc.ncep.noaa.gov/mmb/mmbpll/nestpage/
Basic Feature Comparison (for NAM): WRF-NMM vs Meso Eta Model
Feature Meso Eta Model
WRF-NMM
WRF Common Modeling Infrastructure
No Yes – allows faster tech transfer and partnering with community
Dynamics Hydrostatic Hydrostatic + efficient treatment of complete nonhydrostatic corrections
Horizontal grid spacing
12 km semi-staggered E-grid rotated lat/long projection
12 km semi-staggered E-grid rotated lat/long projection – identical
Domain North America
North America – identical
NMM Vertical Domain Compared to Eta
Model top moved to 2 hPa
18 pressure layers above
~420hPa
42 sigma layersbetween
surface and ~420 hPa
1st layer interface above 420 hPa is bottom of first fixed pressure layer
420 hPa
NMM 60 –Layer Distribution
18 layers
42 layers
2 hPa
1st layer 40 m at sea-level then thinner 1st layer 20 m at sea-level then thicker
Eta 60 –Layer Distribution
NAM-WRF Implementation
• Product changes - added various output parameters required by NWS regions, NCEP service centers, Air Quality Forecast system
• Simulated radar reflectivity• Height of the top of the planetary boundary layer• Vertical velocity dz/dt• Ceiling height• Instantaneous clear sky incoming SW flux at the surface• Instantaneous outgoing LW flux at the top of the atmosphere• Dominant precipitation type (replaces Baldwin)• Pressure of LCL• Total column integrated supercooled liquid water and
melting ice• Base and top heights of supercooled liquid water layer • GOES IR look-alike
Basic Feature Comparison (for NAM): WRF-NMM vs Meso Eta Model
Feature Meso Eta Model WRF-NMMVertical coordinate
60 step-mountain eta layers
60 hybrid sigma-pressure layers
Top pressure
25 hPa 2 hPa
Gridscale Terrain
Unsmoothed with peak (silhouette) and valley enhancement, lateral boundaries set to sea-level
Lightly smoothed, grid-cell mean everywhere
Sub-gridscale terrain effects
Form drag – Zo effective from terrain variability
Zo depends on elev, subgrid variability & vegetation type
Gravity wave drag
No No
Basic Feature Comparison (for NAM): WRF-NMM vs Meso Eta Model
Feature Meso Eta Model WRF-NMM
Timesteping schema: fast / inertial gravity waves
forward-backward (Mesinger, 1974) for inertial gravity wave adjustment 30 sec
forward-backward (Janjic, 1979) for all fast waves 26.7 sec Implicit for vertically prop. sound waves
Timesteping schema: advection
first-forward then off-centered 60 sec
Turbulence and moist processes 300 sec
T,u,v: horizontal Adams-Bashforth,vertical Crank-Nicholson off-cntr 26.7sec TKE, water species: Explicit, iterative, flux-corrected 53.3 sec Turbulence and moist processes 160 sec
Basic Feature Comparison (for NAM): WRF-NMM vs Meso Eta Model
Feature Meso Eta Model WRF-NMM
Horizontal
Advection schema
T, u, v, TKE: energy and enstrophy conserving, quadratic conservative, 2nd order (Janjic, 1984)
Water vapor and cloud water: upstream, flux-corrected, positive definite, conservative (Janjic, 1997)
T, u, v: energy and enstrophy conserving, quadratic conservative, 2nd order (Janjic, 1984)
TKE, water vapor and total condensate: upstream, flux-corrected, positive definite, conservative (Janjic, 1997)
Eta versus NMM Terrain
ETA NMM
• Based on global 30-arc second USGS dataset.• Model terrain height is the average of the USGS values
located within the grid box.• Isolated mountain peaks smoothed with 5-point filter.• Differences with Eta silhouette terrain are small.
NAM: WRF-NMM Implemented on June 20, 2006
Eulerian Mass-Core: NCAR physics suite (MM5 & Eta conversions) (w/options)
NOAH unified 5-layer land-surface model
Ferrier gridscale cloud and microphysics
Kain-Fritsch convection Yong-Sei University PBL Dudhia shortwave RRTM longwave [Also adapted to use NCEP physics]
NMM Core: NCEP physics suite (NMM = modified Eta)
NOAH unified 5-layer land-surface model
Ferrier gridscale cloud and microphysics
Betts-Miller-Janjic convection Mellor-Yamada-Janjic 2.5 PBL Lacis-Hansen shortwave Fels-Schwartzkopf longwave [Also adapted to use NCAR physics]