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Dive into the research topics where Kevin J. Sanchez is active.

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Featured researches published by Kevin J. Sanchez.


Nature | 2017

Surface tension prevails over solute effect in organic-influenced cloud droplet activation

Jurgita Ovadnevaite; Andreas Zuend; Ari Laaksonen; Kevin J. Sanchez; G. C. Roberts; Darius Ceburnis; Stefano Decesari; Matteo Rinaldi; Natasha Hodas; Maria Cristina Facchini; John H. Seinfeld; Colin O’Dowd

The spontaneous growth of cloud condensation nuclei (CCN) into cloud droplets under supersaturated water vapour conditions is described by classic Köhler theory. This spontaneous activation of CCN depends on the interplay between the Raoult effect, whereby activation potential increases with decreasing water activity or increasing solute concentration, and the Kelvin effect, whereby activation potential decreases with decreasing droplet size or increases with decreasing surface tension, which is sensitive to surfactants. Surface tension lowering caused by organic surfactants, which diminishes the Kelvin effect, is expected to be negated by a concomitant reduction in the Raoult effect, driven by the displacement of surfactant molecules from the droplet bulk to the droplet–vapour interface. Here we present observational and theoretical evidence illustrating that, in ambient air, surface tension lowering can prevail over the reduction in the Raoult effect, leading to substantial increases in cloud droplet concentrations. We suggest that consideration of liquid–liquid phase separation, leading to complete or partial engulfing of a hygroscopic particle core by a hydrophobic organic-rich phase, can explain the lack of concomitant reduction of the Raoult effect, while maintaining substantial lowering of surface tension, even for partial surface coverage. Apart from the importance of particle size and composition in droplet activation, we show by observation and modelling that incorporation of phase-separation effects into activation thermodynamics can lead to a CCN number concentration that is up to ten times what is predicted by climate models, changing the properties of clouds. An adequate representation of the CCN activation process is essential to the prediction of clouds in climate models, and given the effect of clouds on the Earth’s energy balance, improved prediction of aerosol–cloud–climate interactions is likely to result in improved assessments of future climate change.


Journal of Geophysical Research | 2016

Meteorological and aerosol effects on marine cloud microphysical properties

Kevin J. Sanchez; Lynn M. Russell; R. L. Modini; Amanda A. Frossard; Lars Ahlm; C. E. Corrigan; G. C. Roberts; Lelia N. Hawkins; J. C. Schroder; Allan K. Bertram; R. Zhao; Alex K. Y. Lee; Jack J. Lin; Athanasios Nenes; Zhuo Wang; Anna Wonaschütz; Armin Sorooshian; Kevin J. Noone; H. H. Jonsson; Desiree Toom; A. M. Macdonald; W. R. Leaitch; John H. Seinfeld

Meteorology and microphysics affect cloud formation, cloud droplet distributions, and shortwave reflectance. The Eastern Pacific Emitted Aerosol Cloud Experiment and the Stratocumulus Observations of Los-Angeles Emissions Derived Aerosol-Droplets studies provided measurements in six case studies of cloud thermodynamic properties, initial particle number distribution and composition, and cloud drop distribution. In this study, we use simulations from a chemical and microphysical aerosol-cloud parcel (ACP) model with explicit kinetic drop activation to reproduce observed cloud droplet distributions of the case studies. Four cases had subadiabatic lapse rates, resulting in fewer activated droplets, lower liquid water content, and higher cloud base height than an adiabatic lapse rate. A weighted ensemble of simulations that reflect measured variation in updraft velocity and cloud base height was used to reproduce observed droplet distributions. Simulations show that organic hygroscopicity in internally mixed cases causes small effects on cloud reflectivity (CR) (<0.01), except for cargo ship and smoke plumes, which increased CR by 0.02 and 0.07, respectively, owing to their high organic mass fraction. Organic hygroscopicity had larger effects on droplet concentrations for cases with higher aerosol concentrations near the critical diameter (namely, polluted cases with a modal peak near 0.1 mu m). Differences in simulated droplet spectral widths (k) caused larger differences in CR than organic hygroscopicity in cases with organic mass fractions of 60% or less for the cases shown. Finally, simulations from a numerical parameterization of cloud droplet activation suitable for general circulation models compared well with the ACP model, except under high organic mass fraction.


Aerosol Science and Technology | 2017

More unsaturated, cooking-type hydrocarbon-like organic aerosol particle emissions from renewable diesel compared to ultra low sulfur diesel in at-sea operations of a research vessel

Derek J. Price; Chia-Li Chen; Lynn M. Russell; Maryam A. Lamjiri; Raghu Betha; Kevin J. Sanchez; Jun Liu; Alex K. Y. Lee; David R. Cocker

ABSTRACT The aerosol particle emissions from R/V Robert Gordon Sproul were measured during two 5-day research cruises (29 September–3 October 2014; 4–7 and 26–28 September 2015) at four engine speeds (1600 rpm, 1300 rpm, 1000 rpm, and 700 rpm) to characterize the emissions under different engine conditions for ultra low sulfur diesel (ULSD) and hydrogenation derived renewable diesel (HDRD) fuels. Organic aerosol composition and mass distribution were measured on the aft deck of the vessel directly behind the exhaust stack to intercept the ship plume. The ship emissions for both fuels were composed of alkane-like compounds (H/C = 1.94 ± 0.003, O/C = 0.04 ± 0.001, CnH2n) with mass spectral fragmentation patterns consistent with hydrocarbon-like organic aerosol (HOA). Single-particle mass spectra from emissions for both fuels showed two distinct HOA compositions, with one HOA type containing more saturated alkane fragments (CnH2n+1) and the other HOA type containing more monounsaturated fragments (CnH2n−1). The particles dominated by the CnH2n−1 fragment series are similar to mass spectra previously associated with cooking emissions. More cooking-type organic particles were observed in the ship emissions for HDRD than for ULSD (45% and 38%, respectively). Changes in the plume aerosol composition due to photochemical aging in the atmosphere were also characterized. The higher fraction of alkene or aromatic (CnH2n−m, m ≥ 3) fragments in aged compared to fresh plume emissions suggest that some of the semivolatile alkane-like components partition back to the vapor phase as dilution increases, while alkene or aromatic hydrocarbons contribute more mass to the particle phase due to continuing photochemical oxidation and subsequent condensation from the vapor phase. Copyright


Aerosol Science and Technology | 2017

Lower NOx but higher particle and black carbon emissions from renewable diesel compared to ultra low sulfur diesel in at-sea operations of a research vessel

Raghu Betha; Lynn M. Russell; Kevin J. Sanchez; Jun Liu; Derek J. Price; Maryam A. Lamjiri; Chia-Li Chen; Xiaobi M. Kuang; Gisele O. da Rocha; Suzanne E. Paulson; J. Wayne Miller; David R. Cocker

ABSTRACT Gas and particle emissions from R/V Robert Gordon Sproul were measured for ultra low sulfur diesel (ULSD) and hydrogenation derived renewable diesel (HDRD) during dedicated aerosol measurement cruises in 2014 (29 September–3 October) and 2015 (4–7 and 26–28 September). CO, CO2, and NOX were measured directly from the starboard stack from the 2-stroke, small bore, high speed engine, while number and mass size distributions for both particles and black carbon (BC) were measured by intercepting the ship plume. Measurements at constant engine speeds (1600 rpm, 1300 rpm, 1000 rpm, and 700 rpm) had emission factors of CO () and NOX that were lower by 20% and 13%, respectively, for HDRD compared to ULSD at 700 rpm. However, at 1600 rpm, and were within one standard deviation for both ULSD (: 4.0 ± 0.1 g [kg-fuel]−1; : 51 ± 0.8 g [kg-fuel]−1) and HDRD (: 3.9 ± 0.2 g [kg-fuel]−1; : 51 ± 2 g [kg-fuel]−1). HDRD emission factors of particle number and mass concentrations were higher than ULSD by 46% to 107% and 36% to 150%, respectively, at 1600, 1300, and 1000 rpm, but the differences were smaller than the cycle-to-cycle variability at 700 rpm. BC mass emission factors were nearly 200% larger for 700, 1000, and 1300 rpm for HDRD compared to ULSD, but the mass differences were smaller than cycle-to-cycle variability at 1600 rpm. BC mass size distributions showed that the peak diameter of the BC mass mode for ULSD (∼120 nm) is about 20 nm larger than for HDRD (∼100 nm), even though the particle mass and number size distributions are quite similar. Copyright


Scientific Reports | 2018

Substantial Seasonal Contribution of Observed Biogenic Sulfate Particles to Cloud Condensation Nuclei

Kevin J. Sanchez; Chia-Li Chen; Lynn M. Russell; Raghu Betha; Jun Liu; Derek J. Price; Paola Massoli; Luke D. Ziemba; Ewan Crosbie; Richard Moore; Markus Müller; Sven A. Schiller; Armin Wisthaler; Alex K. Y. Lee; Patricia K. Quinn; Timothy S. Bates; Jack Porter; Thomas G. Bell; Eric S. Saltzman; Robert D. Vaillancourt; Michael J. Behrenfeld

Biogenic sources contribute to cloud condensation nuclei (CCN) in the clean marine atmosphere, but few measurements exist to constrain climate model simulations of their importance. The chemical composition of individual atmospheric aerosol particles showed two types of sulfate-containing particles in clean marine air masses in addition to mass-based Estimated Salt particles. Both types of sulfate particles lack combustion tracers and correlate, for some conditions, to atmospheric or seawater dimethyl sulfide (DMS) concentrations, which means their source was largely biogenic. The first type is identified as New Sulfate because their large sulfate mass fraction (63% sulfate) and association with entrainment conditions means they could have formed by nucleation in the free troposphere. The second type is Added Sulfate particles (38% sulfate), because they are preexisting particles onto which additional sulfate condensed. New Sulfate particles accounted for 31% (7u2009cm−3) and 33% (36u2009cm−3) CCN at 0.1% supersaturation in late-autumn and late-spring, respectively, whereas sea spray provided 55% (13u2009cm−3) in late-autumn but only 4% (4u2009cm−3) in late-spring. Our results show a clear seasonal difference in the marine CCN budget, which illustrates how important phytoplankton-produced DMS emissions are for CCN in the North Atlantic.


Journal of Geophysical Research | 2018

Influence of emissions and aqueous processing on particles containing black carbon in a polluted urban environment: Insights from a soot particle – aerosol mass spectrometer

Sonya Collier; Leah R. Williams; Timothy B. Onasch; Christopher D. Cappa; Xiaolu Zhang; Lynn M. Russell; Chia-Li Chen; Kevin J. Sanchez; Douglas R. Worsnop; Qi Zhang

Inorganic and organic coatings on black carbon (BC) particles can enhance light absorption and affect atmospheric lifetimes of BC-containing particles and thus have significant implications for climate. To study the physical and chemical characteristics of atmospheric BC and BC-associated coatings, a soot-particle aerosol mass spectrometer (SP-AMS) was deployed during the winter of 2014-2015 in Fresno, a city located in the San Joaquin Valley of California, to selectively analyze BC-containing particles. Comparing SP-AMS measurements to those from the collocated single particle soot photometer (SP2) and high resolution aerosol mass spectrometer (HR-AMS), we found that 17% of total submicrometer aerosol mass was associated with BC-containing particles, suggesting that a majority of the fine particles in Fresno contained no BC. Most BC-containing particles appeared to be associated with residential wood burning and vehicular traffic. These particles typically had a bulk-average mass ratio of coating-to-BC (Rcoat/rBC) less than 2. However, during periods of persistent fog larger Rcoat/rBC values were observed, with the coatings primarily composed of secondary inorganic and organic components that likely resulted from aqueous-phase processing. Specifically, compared to periods with less fog, the BC coating increased in concentration and contained a larger fraction of nitrate and oxidized organic matter. The size distributions of BC and associated organic coating were generally centered around 300 nm in vacuum aerodynamic diameter. However, during foggy periods BC had an additional peak at ~ 400 nm and organics and nitrate displayed a prominent mode in the accumulation size range.


Journal of Geophysical Research | 2018

Larger Submicron Particles for Emissions With Residential Burning in Wintertime San Joaquin Valley (Fresno) than for Vehicle Combustion in Summertime South Coast Air Basin (Fontana)

Raghu Betha; Lynn M. Russell; Chia-Li Chen; Jun Liu; Derek J. Price; Kevin J. Sanchez; Sijie Chen; Alex K. Y. Lee; Sonya Collier; Qi Zhang; Xiaolu Zhang; Christopher D. Cappa


Atmospheric Chemistry and Physics | 2017

Top-down and bottom-up aerosol-cloud closure: towards understanding sources of uncertainty in deriving cloud shortwave radiative flux

Kevin J. Sanchez; G. C. Roberts; Radiance Calmer; Keri Nicoll; Eyal Hashimshoni; Daniel Rosenfeld; Jurgita Ovadnevaite; Jana Preissler; Darius Ceburnis; Colin D. O'Dowd; Lynn M. Russell


Journal of Geophysical Research | 2016

Meteorological and aerosol effects on marine cloud microphysical properties: Effects on Marine Cloud Properties

Kevin J. Sanchez; Lynn M. Russell; R. L. Modini; Amanda A. Frossard; Lars Ahlm; C. E. Corrigan; G. C. Roberts; Lelia N. Hawkins; J. C. Schroder; Allan K. Bertram; R. Zhao; Alex K. Y. Lee; Jack J. Lin; Athanasios Nenes; Zhuo Wang; Anna Wonaschütz; Armin Sorooshian; Kevin J. Noone; H. H. Jonsson; Desiree Toom; A. M. Macdonald; W. R. Leaitch; John H. Seinfeld


Journal of Geophysical Research | 2018

Organic Aerosol Particle Chemical Properties Associated With Residential Burning and Fog in Wintertime San Joaquin Valley (Fresno) and With Vehicle and Firework Emissions in Summertime South Coast Air Basin (Fontana)

Chia-Li Chen; Sijie Chen; Lynn M. Russell; Jun Liu; Derek J. Price; Raghu Betha; Kevin J. Sanchez; Alex K. Y. Lee; Leah R. Williams; Sonya Collier; Qi Zhang; Anikender Kumar; Michael J. Kleeman; Xiaolu Zhang; Christopher D. Cappa

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Chia-Li Chen

University of California

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Alex K. Y. Lee

National University of Singapore

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Derek J. Price

University of California

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Jun Liu

University of California

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Raghu Betha

National University of Singapore

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John H. Seinfeld

California Institute of Technology

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Qi Zhang

University of California

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Sonya Collier

University of California

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