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FACTORS GOVERNING THE SEASONAL VARIABILITY OF ATMOSPHERIC CARBONYL SULFIDE. Parv Suntharalingam Harvard/Univ. of East Anglia A.J. Kettle, S. Montzka, D. J. Jacob. GEOS-Chem Meeting April 12 th , 2007.
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FACTORS GOVERNING THE SEASONAL VARIABILITY OF ATMOSPHERIC CARBONYL SULFIDE Parv Suntharalingam Harvard/Univ. of East Anglia A.J. Kettle, S. Montzka, D. J. Jacob GEOS-Chem Meeting April 12th, 2007
Carbonyl Sulfide (COS) Uptake by Leaf During Photosynthesis Can Carbonyl Sulfide help in Constraining Estimates of Global Primary Production ? COS CO2 COS CO2 GPP : Gross flux of CO2 converted to organic matter during photosynthesis COS and CO2 are taken up through leaf stomata during photosynthesis
SH SEASONAL CYCLES OF COS and CO2COS measurements : S. Montzka (NOAA-GMD) COS CO2 J F M A M J J A S O N D J F M A M J J A S O N D Seasonal cycles of COS and CO2 are correlated, especially at forested sites. CAN COS MEASUREMENTS CONSTRAIN BIOSPHERIC CO2 UPTAKE ? Significant uncertainties remain on aspects of COS budget
SOURCES AND SINKS OF ATMOSPHERIC CARBONYL SULFIDE COS Mean atmospheric conc. ~ 500 ppt
SOURCES AND SINKS OF ATMOSPHERIC CARBONYL SULFIDE COS Oxidation CS2 DMS OCEAN ANTHROPOGENIC
SOURCES AND SINKS OF ATMOSPHERIC CARBONYL SULFIDE Tropospheric Oxidation, Stratospheric Photolysis COS Oxidation CS2 DMS OCEAN PLANTS SOILS ANTHROPOGENIC
SOURCES AND SINKS OF ATMOSPHERIC CARBONYL SULFIDE Tropospheric Oxidation, Stratospheric Photolysis Uncertainty remains on source/sink fluxes COS Oxidation CS2 ?? ?? DMS ?? ?? OCEAN Biomass Burning PLANTS SOILS ANTHROPOGENIC
ATMOSPHERIC COS BUDGETKettle et al. [2002]: Gridded Fields ANNUALLY BALANCED BUDGETTotal sources/sinks :460 Gg S/year -238 -130 -92 280 -180 Not included here Biomass Burning : 35 Tg S (8%) Stratospheric Photolysis : 16 Tg (3.5%) Minor sources : < 3% Also based on : Chin and Davis, 1993; Watts, 2000
OUTLINE • Model atmospheric COS with recent best estimates of seasonal sources and sinks [Kettle et al. 2002] • Evaluate against measurements from global observation network [Montzka et al. 2006] • Which processes govern observed seasonal variability ? Can we improve estimates of prior COS fluxes? AIM :Improved constraints on factors governing COS seasonal variability
COS SURFACE OBSERVATION NETWORK : NOAA-GMD Flask measurements since 2000 [Montzka et al. 2006] Barrow (BRW) • alt • brw • lef mhd • • • hfm nwr • • kum mlo Mauna Loa (MLO) • smo • cgo South Pole (SPO) spo
GEOS-Chem COS SIMULATION • INPUT FLUX DISTRIBUTIONS [Kettle et al. 2002] • SOURCES • Ocean (Direct; CS2 and DMS oxidation to COS) • Anthropogenic (Direct and CS2 oxidation to COS) • SINKS • Terrestrial plant uptake • Soil uptake • COS oxidation by OH (tropospheric) • To be Implemented • Biomass burning • Stratospheric photolysis GEOS-Chem Version 7-03-06 Resolution : 2x2.5; 30 vertical levels Meteorology Year : 2001
COS SINK DISTRIBUTIONS[Kettle et al. 2002] Soil Uptake (JAN) Plant Uptake (JAN) pmol/m2/sec Soil Uptake (JUL) Plant Uptake (JUL) Soil uptake based on soil moisture and temperature. (Only 1 soil type) Plant fluxes derived from NPP and NDVI fields
COS SOURCE DISTRIBUTIONS[Kettle et al. 2002] Anthropogenic (JAN) Ocean (JAN) pmol/m2/sec Anthropogenic (JUL) Ocean (JUL) Ocean fluxes based on ocean photochemical model and DMS distributions Anthropogenic COS fluxes distributed according to SO2 emissions (GEIA 1985)
SEASONAL VARIABLITY OF COS FLUXESFlux Distributions :Kettle et al [2002] Southern Hemisphere Northern Hemisphere OCEAN ANTH. OCEAN Gg S per month SOILS PLANT TOTAL SURFACE COS FLUX • AGGREGATED FLUXES • N Hemisphere variability driven by plant uptakeand ocean fluxes • S Hemisphere variability driven by ocean fluxes
SEASONAL ANOMALIES AT MEASUREMENT SITESData : S. Montzka (NOAA-GMD) Cape Grim, Tasmania South Pole • Seasonal cycle has similar phase at Southern Hemisphere and Northern Hemisphere sites • Northern Hemisphere sites show larger seasonal amplitude Barrow, Alaska Park Falls, Wisconsin Data for years 2001-2005
SEASONAL CYCLE AT REMOTE/OCEAN SITESObservations and Model : Seasonal Anomalies X Observations Model • Good agreement at Southern Hemisphere remote/ocean sites
SEASONAL CYCLE AT REMOTE/OCEAN SITESObservations and Model : Seasonal Anomalies X Observations Model • Good agreement at Southern Hemisphere remote/ocean sites • Observed seasonality not well reproduced as move northwards
SEASONAL CYCLE AT TERRESTRIAL STATIONS Observations and Model : Seasonal Anomalies Observed seasonal cycle not well simulated at Northern Hemisphere terrestrial sites X Observations Model
GLOBAL PLANT UPTAKE OF COS SUMMARY OF ESTIMATES : (Table 4 : Sandoval-Soto et al. 2005)Units : Tg COS/year Kettle et al. [2002] NPP-based estimate is lowerthan recent estimates
SEASONAL CYCLE AT TERRESTRIAL SITES Increased Model Plant COS Uptake (Factor of 3) Increased COS uptake by plants better matches observed seasonality ORIG MODEL X Observations Original Model Model: Increased plant uptake INCREASED UPTAKE MODEL
SEASONAL CYCLE AT TERRESTRIAL SITES Increased Model Plant COS Uptake (Factor of 3) • BUT • Now need an additional source (for balanced annual budget) X Observations Original Model Increased plant uptake
SEASONAL CYCLE AT TERRESTRIAL SITES Increased Model Plant COS Uptake (Factor of 3) • BUT • Now need an additional source (for balanced annual budget) • Phase problems remain X Observations Original Model Increased plant uptake
SEASONAL CYCLE AT TERRESTRIAL SITES Increased Model Plant COS Uptake (Factor of 3) • BUT • Now need an additional source (for balanced budget) • Phase problems remain • Missing source flux ? X Observations Original Model Increased plant uptake
SUMMARY • Primary influences on COS seasonal cycle : Ocean fluxes in Southern Hemisphere; Plant uptake and ocean fluxes in Northern Hemisphere. • Increasing plant uptake of COS by a factor of 3 (to 0.7 Tg S/year) improves model representation of seasonal cycle at terrestrial sites • But, annual COS budget no longer in balance – missing source ? ONGOING/PLANNED WORK • Add source and sink for biomass burning and stratospheric photolysis • Update anthropogenic COS emissions based on latest SO2 inventories. • Inverse model analysis of COS measurements to improve source/sink flux estimates