Charlson et al.,Nature, 326, 655-661, 1987. CLAW Hypothesis DMS as an Integrator of Dynamic, Chemical, and Biological Processes during VOCALS Barry Huebert.

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Charlson et al.,Nature, 326, , CLAW Hypothesis DMS as an Integrator of Dynamic, Chemical, and Biological Processes during VOCALS Barry Huebert University of Hawaii Also: M. Yang 1, B. W. Blomquist 1, S. G. Howell 1, L. M. Shank 1, C. S. McNaughton 1, A. D. Clarke 1, L. N. Hawkins 2, L. M. Russell 2, D. S. Covert 3, D. J. Coffman 4, T. S. Bates 4, P. K. Quinn 4, N. Zagorac 5, A. R. Bandy 5, S. P. deSzoeke 6, P. D. Zuidema 7, S. C. Tucker 8, W. A. Brewer 9, K. B. Benedict 10, J. L. Collett 10, C. Fairall

Can We Integrate Up The CLAW Hypothesis? Not Even Close!! So why even try to quantify fluxes and conversion rates? Charlson et al.,Nature, 326, , ~3 µmol / m2 d ? CCN / m2 d ? ~1.4 µmol / m2 d It is of great value to know the direction and magnitude of process changes in a different climate

1. Atmospheric Chemistry: Reaction Rates, Branching Ratios Average Effective [OH] was Derived from DMS Fluxes during VOCALS Oct/Nov Average: [OH] = 1.5 x cm -3 Noontime Peak: [OH] = 5 x cm -3 Yang, Blomquist, Huebert (2009), Atmos. Chem. Phys., 9, Continuity Equation

R. Simpson MS Thesis, UH, PASE Average: Poll’n S ≅ DMS S Intermittent ≅ Continuous 2. Natural vs LRT Sulfur Fluxes to Remote Regions – Sulfur Budget From PASE – Pollution vs Natural Sulfur? Measured Vd = 0.4cm/s What about VOCALS?

What was the Main Sulfur Source for nss-Aerosols during VOCALS? - Zonal Averages along 20°S (except RF-14 from the C-130) DMS and SO 2 Concentrations DMS and SO 2 Fluxes Away from the coast, DMS Sea-to-air flux >> SO 2 entrainment flux On average anthropogenic SO 2 had virtually no impact on off-shore MBL Sulfur 2. Natural vs LRT Sulfur Fluxes to Remote Regions Yang, MX, PhD Dissertation, Dept Oceanography, UHawaii, 2010.

3. Atmospheric Dynamics / Entrainment Velocities DMS showed a Clear Diurnal Cycle - allowing us to estimate entrainment velocity (  e ) VOCALS-average DMS shows a clear diurnal cycle, with maximum just after sunrise (built up from air-sea exchange) and minimum just before sunset (OH oxidation) Sea-to-air flux measured by EC ≈ 3.3  mol m -2 day -1 Entrainment flux ≈ ( ) = 0.7  mol m -2 day -1 Horizontal advection small Nighttime oxidation small No chemical production No DMS above the inversion  e ≈ 5 mm sec -1 (agrees well with Wood and Bretherton 2004; Caldwell et al. 2005) Time rate of change ≈ 2.6  mol m -2 day -1 Yang, Blomquist, Huebert (2009), Atmos. Chem. Phys., 9, DMS pptv

SO 2 : Model and Obs fit pretty well. Implied SO 2 diel cycle, with oxidation from DMS being the principal source and in-cloud oxidation as the main sink. The implied cycle agrees well with observations until 1500 UTC, with measurements in the subsequent hours likely subject to greater spatial bias. SO 2 Model Obs Atmospheric Chemistry helps Constrain Dynamics

Sulfate: Not so good Implied SO 4 2- cycle assuming a well-mixed MBL. The observed diel cycle in SO 4 2- is not captured by this calculation. SO 4 Model Obs Atmospheric Chemistry helps Constrain Dynamics

There is virtually no vertical gradient of SO 2, so entrainment won’t change its concentration. SO 4 =, however, is being produced in cloud. It does not show up as aerosol in this profile because nearly all the BuL sulfate is tied up in cloud droplets. Does that BuL/cloud sulfate mix downward continuously? ?

Sulfate with Post-sunset Re-coupling: Not bad Implied SO 4 2- cycle assuming a well-mixed MBL at night and decoupled MBL during the day. SO 4 2- produced in-cloud is summed over the entire day and only added to the MBL budget over the first four hours after sunset as the MBL re-couples. The implied cycle qualitatively agrees with shipboard. Atmospheric Chemistry helps Constrain Dynamics

A Corrected for: Atmos Stability, Sc(T), Solubility(T), Relative wind dir, DMS w variation B Our five k DMS data sets (VOCALS is Green) lie very close to the NOAA-COARE Model Line Uncorrected k 660 tends to increase with SST as noted by Marandino et al. (2008) Yang, et al. (2010), Air-sea Exchange of Dimethylsulfide (DMS) in the Southern Ocean – Measurements from SO GasEx Compared to Temperate and Tropical Regions, SO GasEx Issue, J. Geophys Res., in revision. 4. Physics of Air-Sea Gas Exchange – DMS Observations

75 W 80 W Atmos [DMS] DMS Flux Water [DMS] 6-7x spikes in [DMSw] 5-6x spikes in DMS flux 6-7x spikes in [DMSa] Surprisingly coherent atmospheric variability [DMSa] not smeared out Dynamics drive Bio-Variability which drives Atmos-Variability – All on the same scales! Yang, MX, PhD Dissertation, Dept Oceanography, UHawaii, Marine Biogeochemistry & the Natural Sulfur Source Eddies during VOCALS

FT Air MBL Air 1 km 350 m Entrainment of FT Tracers into the MBL Assume a box of MBL air: 1 km deep and 1 km sides Assume an entrainment velocity of 4 mm/s In one day, a 350 m deep layer of FT air will descend into the MBL Smaller Conc in FT Larger Conc in MBL

MBL Air 1 km 350 m Entrainment of FT Air into the MBL In one day, a 350 m deep layer of FT air will descend into the MBL That layer of FT air will bring with it all the tracer molecules it contains. This is a downward flux, independent of the MBL concentration of the tracer. 1 km Front

MBL Air 1 km 350 m Entrainment of FT Air and Tracers into the MBL Trace materials move with the air. The entrainment tracer flux equals the volume of air times its FT concentration: F = V Entr [tracer/volume] The MBL tracer concentration does NOT affect this flux 1 km Front The Entrainment Flux depends only on S + Its impact on MBL Concentrations depends on (S + - S - )

Summary – EC-Measured Fluxes Clarify: Atmos Chem Budgets and Ambient Reaction Rates Natural Sources vs LRT/Pollution Sources Atmospheric Dynamics & Entrainment Velocities The Physics of Air-Sea Gas Exchange Biogeochemical Processes And Knowing the functional form (physics) of each process gives us a basis for computing sensitivities to each controlling environmental variable. Thanks to NSF Atmospheric Chemistry for supporting the shipboard flux measurements.