development, evaluation, and application of geos-chem driven by ccsm3 meteorological fields...

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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 4 th GEOS-Chem USERS’ MEETING Maxwell-Dworkin building, room G115 Harvard University, Cambridge, MA, April 7, 2009

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Page 1: Development, evaluation, and application of GEOS-Chem driven by CCSM3 meteorological fields Presenter: Daeok (Daniel) Youn Atmospheric Chemistry Modeling

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

Page 2: Development, evaluation, and application of GEOS-Chem driven by CCSM3 meteorological fields Presenter: Daeok (Daniel) Youn Atmospheric Chemistry Modeling

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

Page 3: Development, evaluation, and application of GEOS-Chem driven by CCSM3 meteorological fields Presenter: Daeok (Daniel) Youn Atmospheric Chemistry Modeling

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.

Page 4: Development, evaluation, and application of GEOS-Chem driven by CCSM3 meteorological fields Presenter: Daeok (Daniel) Youn Atmospheric Chemistry Modeling

Comparison between Simulated and Sonde O3at 800 hPa

CCSM-3 GEOS-4

Both simulations reproduced ozone sonde observation relatively well.

Page 5: Development, evaluation, and application of GEOS-Chem driven by CCSM3 meteorological fields Presenter: Daeok (Daniel) Youn Atmospheric Chemistry Modeling

Comparison between Simulated and Sonde O3at 500 hPa

CCSM-3 GEOS-4

Page 6: Development, evaluation, and application of GEOS-Chem driven by CCSM3 meteorological fields Presenter: Daeok (Daniel) Youn Atmospheric Chemistry Modeling

Comparison between Simulated and Sonde O3at 300 hPa

CCSM-3 GEOS-4

Page 7: Development, evaluation, and application of GEOS-Chem driven by CCSM3 meteorological fields Presenter: Daeok (Daniel) Youn Atmospheric Chemistry Modeling

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

Page 8: Development, evaluation, and application of GEOS-Chem driven by CCSM3 meteorological fields Presenter: Daeok (Daniel) Youn Atmospheric Chemistry Modeling

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.

Page 9: Development, evaluation, and application of GEOS-Chem driven by CCSM3 meteorological fields Presenter: Daeok (Daniel) Youn Atmospheric Chemistry Modeling

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

Page 10: Development, evaluation, and application of GEOS-Chem driven by CCSM3 meteorological fields Presenter: Daeok (Daniel) Youn Atmospheric Chemistry Modeling

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

Page 11: Development, evaluation, and application of GEOS-Chem driven by CCSM3 meteorological fields Presenter: Daeok (Daniel) Youn Atmospheric Chemistry Modeling

Additional slides

Page 12: Development, evaluation, and application of GEOS-Chem driven by CCSM3 meteorological fields Presenter: Daeok (Daniel) Youn Atmospheric Chemistry Modeling

Change in Surface Variables: GEOS-4

PAR in East Asia

2-m air Temperature

LAI in East Asia

Page 13: Development, evaluation, and application of GEOS-Chem driven by CCSM3 meteorological fields Presenter: Daeok (Daniel) Youn Atmospheric Chemistry Modeling

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

Page 14: Development, evaluation, and application of GEOS-Chem driven by CCSM3 meteorological fields Presenter: Daeok (Daniel) Youn Atmospheric Chemistry Modeling

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

Page 15: Development, evaluation, and application of GEOS-Chem driven by CCSM3 meteorological fields Presenter: Daeok (Daniel) Youn Atmospheric Chemistry Modeling

Observation Default CCSM3 CCSM3+DGVM

Comparison between Observed vs. Simulated Plant Type Functions (PFT)

Page 16: Development, evaluation, and application of GEOS-Chem driven by CCSM3 meteorological fields Presenter: Daeok (Daniel) Youn Atmospheric Chemistry Modeling

•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)