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Recent Status of NEMS/NMMB-AQ DevelopmentYouhua Tang1, Jeffery T. McQueen2, Sarah Lu1,
Thomas L. Black2, Zavisa Janjic2, Mark D. Iredell2, Carlos Pérez García-Pando3, Oriol Jorba Casellas3,
Pius Lee4, Daewon Byun4, Paula M. Davidson5, and Ivanka Stajner6
1. Scientific Applications International Corporation 2. NOAA/NCEP/EMC 3. Barcelona Supercomputing Center, Edificio Nexus II c/ Jordi Girona 29, Barcelona, Spain
4. NOAA Air Resource Laboratory 5. Office of Science and Technology,NOAA/National Weather Service 6. Noblis Inc, Falls Church, VA
To examine the mass conservation feature of the advection schemes,
we performed a ideal tracer test for NMM-B, WRF-NMM, and
WRF-ARW advection schemes, In this test, a cuboid-shaped air
mass of a passive tracer is put into the center of the domain, while
this tracer’s values over all other grid points and boundaries are set
to zero. we turned off all processes other than the advection. If the
advection scheme is strictly mass conservative, the column mass
loading should be the same until the air mass reaches the boundary
of the domain.
00 Hr
48 Hr
40
50
60
70
80
90
100
110
120
130
140
150
0 10 20 30 40 50 60 70 80 90 100
Mea
n C
olu
mn M
ass
Load
ing
Forecast Time (hour)
Mean Column Mass-Equivalence Loading
WRF-NMM Old-Dyn 3-D Adv (vertically force conserv)WRF-NMM Old-Dyn 2-D Adv only
WRF-ARW 3-D Adv onlyNMM-B NEW-PD 3-D ADV only
Summary and Future plan
The development of NEMS/NMMB inline air quality model has started using ESMF framework. Most of
related chemical/physical modules are zero-dimensional or one dimensional, which can be placed into this
system directly, either as normal subroutines or as an ESMF gridded component. We will use CMAQ existing
chemical modules in this system. The new mass-conservative NMM-B advection scheme can support air
quality applications, and the corresponding meteorological prediction is under testing now.
In next step, we will add and test convective mixing for passive tracers, in-cloud/under-cloud chemical
scavenging, replace interpolated emissions with native- grid emissions (CMAQ SMOKE package), and put
biogenic emission and dry deposition inline. Alternative more flexible coupling approach through a separate
chemistry grid component (method A) will be explored.
Analysis--------------
Ocean-------------
Wind Waves--------------
LSM--------------Ens. Gen.--------------
Other
Physics(1,2,3)
ESMF Utilities(clock, error handling, etc)
Bias CorrectorPost processor & Product Generator
VerificationResolution change
1-11-21-32-12-2
2-3
ESMF Superstructure(component definitions, “mpi” communications, etc)
Multi-component ensemble+
Stochastic forcing
Coupler1Coupler2Coupler3Coupler4Coupler5Coupler6
Etc.
Dynamics(1,2)
Application Driver
* Earth System Modeling Framework (NCAR/CISL, NASA/GMAO, Navy (NRL), NCEP/EMC), NOAA/GFDL
2, 3 etc: NCEP supported thru NUOPC, NASA, NCAR or NOAA institutional commitmentsComponents are: Dynamics (spectral, FV, NMM, FIM, ARW, FISL, COAMPS…)/Physics (GFS,
NRL, NCAR, GMAO, ESRL…)
Atmospheric Model
Chemistry
NEMS Atmosphere
Atmospheric Model
Dynamics Physics and Chemistry
Dyn-Phy
CouplerNMM-B
Spectral
FIM
Color KeyComponent class
Coupler class
Completed Instance
Under Development
NAM
PhyGFS
Phy
Simple
unified atmosphere
including digital filterFuture Development
ARW
FVCORE
FISL
NOGAPS
WRF
PhyNavy
Phy
COAMPS Regrid,
Redist,
Chgvar,
Avg, etc
CMAQ
Chemistry
NMM-B: Nonhydrostatic Multiscale Model on B grid
FIM: Flow-following finite-volume Icosahedral Model FISL: Fully-Implicit Semi-Lagrangian
FVCORE: Finite-Volume Dynamical Core
NOGAPS: Navy's Operational Global Atmospheric Prediction System
COAMPS: Coupled Ocean/Atmosphere Mesoscale Prediction System
GOCART Aerosol
Simple
Chemistry
Meteorological Model
Dynamics
Physics
Air Quality ModelDynamics
Physics
ChemistryExchange data via the memory with specified time frequency
A)
B)
Meteorological Model/Air Quality ModelDynamics with passive tracers
Physics with AQ species
Chemistry
Meteorological I/O
AQ I/O
Unified I/O
Method A: Allows flexibility and can be
made consistent
• Can keep most of the original AQM
architecture with minimal changes.
• Different components can run on different
grids supported by ESMF
• Inconsistencies may exist between
meteorological and air quality models
• Overhead due to different dynamics/physics
and diagnostic variables
Method B: Focuses on efficiency and is
inherently consistent
• All computation uses common native grid and
dynamics
• High efficiency
• Low flexibility. Introduces dependency on
certain meteorological dynamics or physics
components
• Require positive-definite mass-consistent
advection scheme and inclusion of AQ
processes in the meteorological modules
Two Inline Approach
MAIN Program
MAIN Gridded ComponentINIT-RUN-FINALIZE
Import State
Export State
PHYSICS Gridded ComponentINIT-RUN-FINALIZE
Input Emissions
Input Dry Depositions
PBL Mixing (MYJ)
Photolysis Calculation
Chemical Reactions
Convective Mixing
Wet/Cloud Scavenging
Import State
Export State
Dyn-Phys COUPLER
Component
INIT-RUN-FINALIZE
Import State
Export State
General OutputGridded Component
INIT-RUN-FINALIZE
Import StateExport State
General OutputGridded Component
INIT-RUN-FINALIZE
Import StateExport State
Method B
DYNAMICS Gridded ComponentINIT-RUN-FINALIZE
Chemical Initialization
Lateral Boundary Conditions
Chemical Advection
Chemical Output
Import State
Export State
NMMB Dry
Run ONLYwithout
convective
mixing or wet
scavenging
TUV, Fast-TUVFast-J, Fast-TUVLook-up-table,
Simplified TUV
Photolysis
CB05RADM2, CBMZ,
CB05, RACM
CB04, CB05,
SAPRC
Gaseous
Mechanism
BMJ adjustment
or Grell
(derived)
Grell (derived)ACM (derived)Convective
Mixing
Inline MYJ
Kz (calculated
from YSU, MYJ
etc)
ACM2 (derived
from input
meteorology)
PBL Mixing
NMM-BWRF-ARW,
WRF-NMM
piecewise
parabolic
method
Advection
scheme
Every advection
time Step
Every advection
time Stephourly
Input
frequency
InlineInline
Offline,
recalculate some
variables, like w
and PBL heights
Input
Meteorology
NEMS/ESMFWRFCMAQModel
Framework
NMMB-AQWRF-CHEMCMAQ
We made a test run using emissions and
dry deposition velocities interpolated
from operational CMAQ.