4 th geos-chem users’ meeting maxwell-dworkin building, room g115
DESCRIPTION
Development, evaluation, and application of GEOS-Chem driven by CCSM3 meteorological fields Presenter: Daeok (Daniel) Youn Atmospheric Chemistry Modeling Group School of Earth and Environmental Sciences, Seoul National University, Seoul, 151-742, Korea, Republic of. - PowerPoint PPT PresentationTRANSCRIPT
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Development, evaluation, and application of GEOS-Chem driven by
CCSM3 meteorological fields
Presenter: Daeok (Daniel) Youn
Atmospheric Chemistry Modeling Group School of Earth and Environmental Sciences,
Seoul National University, Seoul, 151-742, Korea, Republic of
4th GEOS-Chem USERS’ MEETINGMaxwell-Dworkin building, room G115
Harvard University, Cambridge, MA, April 7, 2009
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Global CO B40 December
0
10
20
30
40
50
60
0 50 100 150 200 250 300 350
SO2
em
issi
on (
Tg)
CO emission (Tg)
B10-INDUSTRY
B20-POWER GENERATION
B30-CHARCOAL PRODUCTION
B40-RCO: RESIDENTIAL
F10-INDUSTRIAL SECTOR
F20-POWER GENERATION
F30-OTS (ALL)
F40-RCO SECTOR(RES+COM+OTH)
F51-ROAD TRANSP.(INCL. EVA)
F54-TRANS. LAND NON-ROAD
F57-AIR (ALL)
F58-INTERN. SHIPPING
F80-OIL PRODUCTION
I10: IRO: IRON&STEEL
I20: NFE: NON-FERRO
I50-PAP: PULP & PAPER
W40-WASTE INCINER.(NON-ENERGY)
CO emissions inventory over Globe and AsiaCO emissions inventory over Globe and Asia
Recent changes in Emissions by sectorRecent changes in Emissions by sector
SO2 vs. COSO2 vs. CO
Objective and Background
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Simulated seasonal surface O3 for 2001: GEOS-Chem/CCSM3 vs. GEOS-Chem/GEOS-4
GEO
S-Ch
em/C
CSM
-3G
EOS-
Chem
/GEO
S-4
Both simulations produced consistent seasonal and spatial patterns of ozone concentrations in surface air.
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Comparison between Simulated and Sonde O3at 800 hPa
CCSM-3 GEOS-4
Both simulations reproduced ozone sonde observation relatively well.
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Comparison between Simulated and Sonde O3at 500 hPa
CCSM-3 GEOS-4
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Comparison between Simulated and Sonde O3at 300 hPa
CCSM-3 GEOS-4
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GEOS-Chem driven by CCSM3(CAM3-CLM3)+DGVM
An application of off-line coupling between GEOS-Chem and CCSM3 for 1997-2007 to look at the impact of BVOC emissions on air quality in East Asia
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Simulated Surface Variable in 2000 and 2006
LAI in East Asia
PAR in East Asia
2-m air Temperature
Decreases in LAI in northeast China correspond to the increases in surface air temperature in the same region.
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MODIS LAI & NCEP-R2 T2m air (Observation)
2m air Temp.NCEP-R2
LAI in East AsiaMODIS-BU
Observations show opposite results from the model in LAI and air temp. the negative correlation between changes in LAI and surface holds both for obs. And model
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Simulated Surface Isoprene and resulting Ozone Change
Ozone change is likely related to the distribution of isoprene at the near surface over East Asia, esp. east China, for the two different years.
GEOS-Chem/CCSM3+DGVM
GEOS-Chem/GEOS-4
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Additional slides
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Change in Surface Variables: GEOS-4
PAR in East Asia
2-m air Temperature
LAI in East Asia
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BVOC emissions by CCSM3-DGVM and GEOS-Chem/CCSM3-DGVM
Isoprene emissions from CCSM3-DGVM and GEOS-Chem are in general agreement in thatlower isoprene emissions in mid- to high- latitudes over most of Northeast Asia for 2005 and higher emissions in tropics over Southeast Asia are shown. Vegetation maps are different!
GEOS-Chem/CCSM3-DGVM
CCSM3-CLM3
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Bonan et al. (2003)
CAM3-CLM3 with DGVMInteractive Vegetation
Observed SST for 1997-2007
Sitch et al. (2003)
Meteorological Fields,
Land Surface Variables,
Tsfc, LAI, and PAR
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Observation Default CCSM3 CCSM3+DGVM
Comparison between Observed vs. Simulated Plant Type Functions (PFT)
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•CAM3-CLM3: 1) with prescribed vegetation and 2) interactive vegetation (DGVM)
•GEOS-Chem driven by the CAM3-CLM3
MODELS
CAM3-CLM3 with DGVM
500 year control
SST Climatology
CAM3-CLM3
Prescribed Vegetation
CAM3-CLM3 with DGVM
Interactive VegetationOutput: surface component
(PFT, LAI, SAI, Height)
Initial condition
Surface data set
10 PFT and 1 LAI in a grid
14 PFT and 10 LAI in a grid
Observed SST for 1997-2007
GEOS-Chem/CCSM3Observed SST for 1997-2007
Air Quality
(O3 and Aerosol)