an exploration of model concentration differences between cmaq and camx brian timin, karen wesson,...
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An Exploration of Model Concentration Differences Between CMAQ and CAMx
Brian Timin, Karen Wesson, Pat Dolwick, Norm Possiel, Sharon Phillips
EPA/[email protected] 3, 2007
Introduction OAQPS conducted 2001 base case modeling with
CMAQ and CAMx Both models used the same “raw” emissions and
meteorological data Large differences were seen in predicted ozone
concentrations as well as other precursors and species
We conducted several analyses to help examine differences in the models Sensitivity model runs with CAMx and CMAQ Analysis of existing information
2001 Model Platforms Both models were run with a very similar
setup
CMAQ CAMxModel version 4.5 4.31Number of vertical layers 14 14Emissions processing SMOKE SMOKEMeteorological processing MCIP 3.1 MM5CAMXBoundary conditions GEOS-CHEM GEOS-CHEM12 km domain 188 X 212 220 X 273Chemistry CB-IV CB-IV (+)
CMAQ vs. CAMx- Ozone Concentration
July 17, 2001 at 21Z
CAMx (w/O’Brien) CMAQ
CMAQ vs. CAMx- CO Concentration
July 17, 2001 at 21Z
CAMx (w/O’Brien) CMAQ
CMAQ vs. CAMx- FORM
July 17, 2001 24-hour average
CAMx (w/O’Brien) CMAQ
CMAQ vs. CAMx- Sulfate Concentration
July 19, 2001 24-hour average
CAMx (w/O’Brien) CMAQ
Analyses
Chemical mechanism Photolysis rates Cloud attenuation of radiation Vertical mixing Dry deposition
Analysis of Chemistry and Clouds
CAMx (mechanism 4) uses a hybrid version of CB-IV which contains additional reactions (CB-IV+) compared to CMAQ CB-IV
Photolysis rates are generally higher in CAMx and with CB05 compared to CMAQ CB-IV
Cloud attenuation of radiation differs between the models These differences between the models were judged not
likely to cause significant regional ozone differences between the models
Vertical Mixing
Vertical mixing is governed by vertical diffusion coefficients (Kv) CMAQ v4.5 used “ACM” mixing CAMx used “O’Brien” Kv’s
There is an option in MM5CAMX to generate “CMAQ like” Kv’s Comparison of actual CMAQ Kv’s and “CMAQ like” Kv’s confirmed
similar magnitudes and spatial patterns We conducted a CAMx sensitivity run which used “CMAQ like”
Kv’s and compared the results to O’Brien CMAQ like Kv’s (and actual CMAQ Kv’s) are generally much higher
than O’Brien Kv’s Expect higher ozone with CMAQ like Kv’s in NOx limited areas
CAMx Ozone Change-“CMAQ-like” Vs. O’Brien KV’s
Change in CAMx hourly ozone at 15Z on July 17, 2001
Blue= lower ozone with “CMAQ-like” Kv’s
Change in CAMx hourly ozone at 20Z on July 17, 2001
CAMx KV’s and Ozone- Atlanta Example
CAMx Kv's in Atlanta on 7/19/01
123456789
1011121314
0 100 200 300 400Kv's (m2/s)
La
ye
r In
de
x
O'Brien
CMAQ-like
CAMx/CMAQ O3 in Atlanta on 7/19/01
0
500
1000
1500
2000
2500
40 60 80 100 120Ozone (ppb)
La
ye
r H
eig
ht
(m)
O'Brien 15:00
CMAQ-like 15:00
CMAQ 15:00
O'Brien 20:00
CMAQ-like 20:00
CMAQ 20:00
CMAQ-like Kv’s are (almost) always higher than O’Brien and tend to drop off at a higher layer
Ozone concentrations in CAMx and CMAQ are similar at 15z, but CAMx becomes much higher at 20z
Maximum Daytime PBL Comparison We compared maximum PBL heights in Atlanta from observations,
predictions from MM5 (MCIP), and from CMAQ and CAMx CMAQ tends to mix to a higher layer compared to the PBL heights
from MCIP This example for Atlanta is not representative of all days and areas
CAMx/CMAQ Layer Height (m)14 1567613 962612 615411 421210 31089 22128 16577 11306 7125 4694 3103 1542 761 38
Atlanta
0
500
1000
1500
2000
2500
3000
3500
7/1
7/2
001
7/1
8/2
001
7/1
9/2
001
Date
Dail
y M
ax P
BL
Heig
ht
(m)
CMAQ
CAMx CMAQ-like
CAMx O-Brien
Observed
MM5/MCIP
Note: CAMx and CMAQ mix up to the top of discrete model layers (as defined in the table above)
Dry deposition CAMx uses a Wesely based dry deposition scheme CMAQ uses the M3Dry scheme
Closely tied to the Pleim-Xiu land surface model Accounts for enhanced deposition to wetted surfaces (soluble
species) Contains more recent science RADM dry deposition scheme (similar to Wesely) is
optional in CMAQ (MCIP 3.2 and prior) Examination of dry deposition velocities (Vd)
revealed large differences between models
Dry Deposition VelocitiesCAMx vs. CMAQ- Ozone
CAMx ozone Vd at 16Z
on July 17, 2001
CMAQ (M3Dry) ozone Vd at 16Z
on July 17, 2001
Dry Deposition VelocitiesCAMx vs. CMAQ- CO
CAMx CO Vd at 16Z
on July 17, 2001
CMAQ (M3Dry) CO Vd at 16Z
on July 17, 2001
Dry Deposition VelocitiesCAMx vs. CMAQ- NO
CAMx NO Vd at 16Z
on July 17, 2001
CMAQ (M3Dry) NO Vd at 16Z
on July 17, 2001
Dry Deposition VelocitiesCAMx vs. CMAQ- NO2
CAMx NO2 Vd at 16Z
on July 17, 2001
CMAQ (M3Dry) NO2 Vd at 16Z
on July 17, 2001
Dry Deposition VelocitiesCAMx vs. CMAQ- FORM
CAMx FORM Vd at 16Z
on July 17, 2001
CMAQ (M3Dry) FORM Vd at 16Z
on July 17, 2001
Dry Deposition Sensitivities
Two CMAQ sensitivity runs were conducted to examine dry deposition issues Alternative mesophyll resistance values with M3Dry Alternative dry deposition scheme (RADM)
The platform for these CMAQ runs was CMAQ v4.6 with CB05 chemistry Ran CMAQ for 2 weeks in August 2002 (plus 7 day
ramp-up)
CMAQ Dry Deposition Sensitivity No. 1 Mesophyll Resistance
M3Dry Vd values for CO, NO, and NO2 were found to be too high Added a mesophyll resistance value in MCIP* for:
NO = 9400 S/M NO2= 500 S/M CO = 100,000 S/M
Ran MCIP and CMAQ with the new values August 2002 period
*The mesophyll resistance values for NO, NO2, and CO were later incorporated into MCIP 3.3
CMAQ CO Vd- M3Dry vs. M3Dry w/modified Mesophyll Resistance
M3Dry CO Vd at 16Z on August 10, 2002
M3Dry CO Vd at 16Z on August 10, 2002 (w/mesophyll resistance)
CMAQ CO concentration on August 5, 2002 (24 hour avg.)
Change in CMAQ CO concentration on August 5, 2002 (w/mesophyll resistance) (24 hour avg.)
CMAQ CO Concentration and Change in Concentration Due to Mesophyll Resistance
CMAQ Ozone Concentration and Change in Concentration Due to Mesophyll Resistance
CMAQ ozone concentration on August 5, 2002 (8 hour max.)
Change in CMAQ ozone concentration on August 5, 2002 (w/mesophyll resistance) (8 hour max.)
CMAQ Dry Deposition Sensitivity No. 2 RADM Dry
The RADM dry deposition routine is an option in MCIP* Formulation is based on Wesely, 1989
Very similar to CAMx
Ran MCIP and CMAQ with RADM dry August 2002 period
*RADM Dry was removed from MCIP v3.3
CMAQ Ozone Vd- M3Dry vs. RADM
M3Dry ozone Vd at 16Z on August 10, 2002
RADM Dry ozone Vd at 16Z on August 10, 2002
CMAQ FORM Vd- M3Dry vs. RADM
M3Dry FORM Vd at 16Z on August 10, 2002
RADM Dry FORM Vd at 16Z on August 10, 2002
CMAQ Ozone Concentration and Change in Concentration Due to RADM Dry Deposition
CMAQ ozone concentration on August 5, 2002 w/M3Dry (8 hour max.)
Change in CMAQ ozone concentration on August 5, 2002 (w/RADM Dry) (8 hour max.)
CMAQ Sulfate Concentration and Change in Concentration Due to RADM Dry Deposition
CMAQ sulfate concentration on August 5, 2002 w/M3Dry (24 hour avg.)
Change in CMAQ sulfate concentration on August 5, 2002 (w/RADM Dry) (24 hour avg.)
Conclusions We examined numerous differences between
CMAQ and CAMx The majority of the ozone differences can be
attributed to different implementations of vertical diffusion and dry deposition Numerous other smaller differences were also identified
CO concentrations were too low in CMAQ due to high CO Vd (corrected by adding a mesophyll resistance value)
Other species (including secondary aerosols) are also affected by mixing and dry deposition
Recommendations Further testing of vertical mixing is needed in both
models Need more comparisons between observed PBL and
CMAQ/CAMx mixing Does CMAQ “overmix” compared to MM5 predicted PBL? Does O’Brien have too little mixing?
More vertical layers may be needed in the AQM boundary layer
Further examination of dry deposition velocities is needed Evaluate diurnal pattern of Vd
Are afternoon Vd values too high in CMAQ? Does the Wesely scheme need to be replaced?
Recommendations
Various combinations of chemical mechanisms (CB-IV, CB05, SAPRC), vertical diffusion (O’Brien, ACM, ACM2) and dry deposition (M3Dry, Wesely, AERMOD) can give very different results Each process needs to be individually evaluated Operational ozone evaluation should not be used to
determine the “best” model formulation