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Assessing the Lightning NOx Parameterization
in GEOS-Chem with HNO3 Columns from IASI
Matthew Cooper1
Randall Martin1,2, Catherine Wespes3,
Pierre-Francois Coheur3, Cathy Clerbaux3,4, Lee Murray5
1. Department of Physics and Atmospheric Science, Dalhousie University, Halifax, Nova Scotia, Canada.2. Harvard-Smithsonian Center for Astrophysics, Cambridge, MA, USA3. Spectroscopie de l’Atmosphère, Chimie Quantique et Photophysique, Université Libre de Bruxelles, Brussels, Belgium4. Sorbonne Universités, UPMC Univ. Paris 06; Université Versailles St-Quentin; CNRS/INSU, LATMOS-IPSL, Paris, France5. NASA Goddard Institute for Space Studies and Lamont-Doherty Earth Observatory of Columbia University, NY, USA
𝑁𝑂𝑁𝑂2
𝑂3
𝐶𝑂
𝐻𝑁𝑂3
20-24 Tg
3-13 Tg
4-15 Tg
4-8 Tg
HNO3 Observations Can Be Used To Constrain NOx Emission Inventories
𝑂𝐻
GEOS-Chem HNO3 Biased Low Over SE AsiaIASI Annual Mean Tropospheric HNO3 Column
mole
c/cm
2
IASI – GEOS-Chem Percent Difference
mole
c/cm
2Pe
rcent
GEOS-Chem Annual Mean Tropospheric HNO3 Column
CO Observations Can Identify Transport Of Combustion Sources
Anthropogenic, Biomass burning sources emits NOx, CO
Long lifetime of CO allows for evaluation of transport
Lightning NOx source is independent CO
GEOS-Chem has 4 lightning regimes: Land – Ocean – Tropics – Midlatitudes
SE Asia lightning properties are different, which may lead to biases
Sim
ula
ted
IC/C
G F
lash
Rati
o
Regional Variations In Lightning Properties Not Captured By GEOS-Chem
Simulated IC/GC Flash Ratio
Flash
Footp
rint
[km
2]600
400
200
0
Lightning Properties Observed from Space [Beirle et al., 2014]
The GEOS-Chem Lightning NOX Parameterization
Prescribed NOx/flash(260 mol/flash)
Flash rates match satellite observations
Prescribed vertical profiles
Emissions added
to GEOS-Chem
4°x5° grid boxes
LNOx Plumes have Sub-Grid Spatial Scale.NOx Chemistry is Non-linear.
Early subgrid plume has high NOx concentration
Leads to rapid HNO3 production, lower OPE
This is not represented in the model
ActualPlume
PH
NO
3 (
mole
c cm
-3 s
-1) /
OPE (
mol/m
ol)
4°x5° GC grid box
NOx concentration (ppbv)
A Simple LNOx Plume Pre-processor
GC Grid BoxNOx
HNO3 + 15O3
Current Mechanism With Pre-Processing
• Adding 0.5 Tg N to Southeast Asia gives better agreement
GC Grid Box
NOx
-1.0 -0.8 -0.6 -0.4 -0.2 0 0.2 0.4 0.6 0.8 1.0
HNO3 Tropospheric Column (IASI – Standard GEOS-Chem)/IASI (IASI – GC w/ PreProcessor)/IASI
92% Bias
6% Bias
Conclusions
GEOS-Chem underestimates HNO3 in Southeast Asia
Lightning NOx is most likely contributor to bias
A preprocessor representing early stages of lightning plume improves the simulation
Inferring Tropospheric Contribution to Total Column Apply IASI averaging kernel to GC output = “total column”
Set GC troposphere to zero then apply kernel = “strat column” Infer tropospheric column = “total” – “strat”
Sensitivity
GC Total HNO3 Column Total Column Smoothed w/ IASI Kernel
GC Tropospheric HNO3 Column
Alt
itude (
hPa
)
IASI Vertical Sensitivity
Tropospheric Column Smoothed w/ IASI Kernel
Convective Effects
Scaled Mass Flux by 25% Scaled scavenging efficiency by 50%
Southeast Asia/ West Pacific is highly convective region HNO3 highly soluable – easily washed out Can have an impact, but its small
20% change vs 200% bias
GEOS-Chem lightning scaled by observed flash density
SE Asia lightning flashes are longer, more radiant than elsewhere in tropics
Intra-cloud lightning more common in SE Asia
[Beirle et al., Nat. Hazards Earth. System. Sci. Discuss, 2014]
Sim
ula
ted
IC/C
G F
lash
R
ati
o
Some Regionally Varying Lightning Properties that could Affect SE Asia
Lightning Properties Observed by OTD/LIS
Simulated IC/GC Flash Ratio
Vertical Distribution of NOx Emissions
NOx lifetime increases with altitude
Not much change in column near emissions region Change (~30%) is small compared to the bias vs IASI
(~200%)
Tropospheric HNO3 Column Ratio: Adjusted/Standard 1.
3
1.2
1.1
1
.9
.8
.7
Vertical Distribution