Pedro Campuzano-Jost
Organization:
University of Colorado, Boulder
Cooperative Institute for Research in Environmental Sciences
Co-Authored Publications:
- Adachi, K., et al. (2022), Fine ash-bearing particles as a major aerosol component in biomass burning smoke, J. Geophys. Res., 127, e2021JD035657, doi:10.1029/2021JD035657.
- Bourgeois, I., et al. (2022), Large contribution of biomass burning emissions to ozone throughout the global remote troposphere, Proc. Natl. Acad. Sci., doi:10.1073/pnas.2109628118.
- Day, D. A., et al. (2022), A systematic re-evaluation of methods for quantification of bulk particle-phase organic nitrates using real-time aerosol mass spectrometry, Atmos. Meas. Tech., 15, 459-483, doi:10.5194/amt-15-459-2022.
- Fung, K. M., et al. (2022), Exploring dimethyl sulfide (DMS) oxidation and implications for global aerosol radiative forcing, Atmos. Chem. Phys., doi:10.5194/acp-22-1549-2022.
- Kacenelenbogen, M. S., et al. (2022), Identifying chemical aerosol signatures using optical suborbital observations: how much can optical properties tell us about aerosol composition?, Atmos. Chem. Phys., doi:10.5194/acp-22-3713-2022.
- Kim, D., et al. (2022), Field observational constraints on the controllers in glyoxal (CHOCHO) reactive uptake to aerosol, Atmos. Chem. Phys., doi:10.5194/acp-22-805-2022.
- Oak, Y. J., et al. (2022), Evaluation of Secondary Organic Aerosol (SOA) Simulations for Seoul, Korea, J. Adv. Modeling Earth Syst..
- Schwantes, R., et al. (2022), Evaluating the Impact of Chemical Complexity and Horizontal Resolution on Tropospheric Ozone Over the Conterminous US With a Global Variable Resolution Chemistry Model, J. Adv. Modeling Earth Syst., 14, e2021MS002889, doi:10.1029/2021MS002889.
- Stockwell, C. E., et al. (2022), Airborne Emission Rate Measurements Validate Remote Sensing Observations and Emission Inventories of Western U.S. Wildfires, Environ. Sci. Technol., 56, 7564-7577, doi:10.1021/acs.est.1c07121.
- Travis, K. R., et al. (2022), Limitations in representation of physical processes prevent successful simulation of PM2.5 during KORUS-AQ, Atmos. Chem. Phys., doi:10.5194/acp-22-7933-2022.
- Wolfe, G. M., et al. (2022), Photochemical evolution of the 2013 California Rim Fire: synergistic impacts of reactive hydrocarbons and enhanced oxidants, Atmos. Chem. Phys., doi:10.5194/acp-22-4253-2022.
- Xu, L., et al. (2022), Ozone chemistry in western U.S. wildfire plumes, Science Advances, 7, eabl3648, doi:10.1126/sciadv.abl3648.
- Xu, L., et al. (2022), Adv.7, eabl3648 (2021) 8 December 2021SCIENCE ADVANCES, Ozone chemistry in western U.S. wildfire plumes, Xu et al., Sci., 7, eabl3648, doi:10.1126/sciadv.abl3648.
- Zeng, L., et al. (2022), Characteristics and evolution of brown carbon in western United States wildfires, Atmos. Chem. Phys., doi:10.5194/acp-22-8009-2022.
- Zeng, L., et al. (2022), Characteristics and evolution of brown carbon in western United States wildfires, Atmos. Chem. Phys., doi:10.5194/acp-22-8009-2022.
- Brock, C., et al. (2021), Ambient aerosol properties in the remote atmosphere from global-scale in situ measurements, Atmos. Chem. Phys., 21, 15023-15063, doi:10.5194/acp-21-15023-2021.
- Chen, X., et al. (2021), HCOOH in the Remote Atmosphere: Constraints from Atmospheric Tomography (ATom) Airborne Observations, ACS Earth Space Chem., doi:10.1021/acsearthspacechem.1c00049.
- Decker, Z., et al. (2021), Novel Analysis to Quantify Plume Crosswind Heterogeneity Applied to Biomass Burning Smoke, Environ. Sci. Technol., 55, 15646-15657, doi:10.1021/acs.est.1c03803.
- Gonzalez, Y., et al. (2021), Impact of stratospheric air and surface emissions on tropospheric nitrous oxide during ATom, Atmos. Chem. Phys., 21, 11113-11132, doi:10.5194/acp-21-11113-2021.
- Guo, H., et al. (2021), The importance of size ranges in aerosol instrument intercomparisons: a case study for the Atmospheric Tomography Mission, Atmos. Meas. Tech., 14, 3631-3655, doi:10.5194/amt-14-3631-2021.
- Jo, D. S., et al. (2021), Future changes in isoprene-epoxydiol-derived secondary organic aerosol (IEPOX SOA) under the Shared Socioeconomic Pathways: the importance of physicochemical dependency, Atmos. Chem. Phys., 21, 3395-3425, doi:10.5194/acp-21-3395-2021.
- Kenagy, H., et al. (2021), Contribution of Organic Nitrates to Organic Aerosol over South Korea during KORUS-AQ, Environ. Sci. Technol., 55, 16326-16338, doi:10.1021/acs.est.1c05521.
- Moore, R., et al. (2021), Sizing response of the Ultra-High Sensitivity Aerosol Spectrometer (UHSAS) and Laser Aerosol Spectrometer (LAS) to changes in submicron aerosol composition and refractive index, Atmos. Meas. Tech., 14, 4517-4542, doi:10.5194/amt-14-4517-2021.
- Nair, A. A., et al. (2021), Machine learning uncovers aerosol size information from chemistry and meteorology to quantify potential cloud-forming particles, Geophys. Res. Lett., doi:10.1029/2021GL094133.
- Nault, B., et al. (2021), Chemical transport models often underestimate inorganic aerosol acidity in remote regions of the atmosphere, Commun Earth Environ, 2, doi:10.1038/s43247-021-00164-0.
- Nault, B., et al. (2021), Secondary organic aerosols from anthropogenic volatile organic compounds contribute substantially to air pollution mortality, Atmos. Chem. Phys., 21, 11201-11224, doi:10.5194/acp-21-11201-2021.
- Pagonis, D., et al. (2021), Airborne extractive electrospray mass spectrometry measurements of the chemical composition of organic aerosol, Atmos. Meas. Tech., 14, 1545-1559, doi:10.5194/amt-14-1545-2021.
- Schueneman, M., et al. (2021), Aerosol pH indicator and organosulfate detectability from aerosol mass spectrometry measurements, Atmos. Meas. Tech., 14, 2237-2260, doi:10.5194/amt-14-2237-2021.
- Schueneman, M., et al. (2021), Aerosol pH Indicator and Organosulfate Detectability from Aerosol Mass Spectrometry Measurements, Atmos. Meas. Tech., doi:10.5194/amt-2020-339.
- Thompson, C., et al. (2021), The NASA Atmospheric Tomography (ATom) Mission: Imaging the Chemistry of the Global Atmosphere, Bull. Am. Meteorol. Soc., doi:10.1175/BAMS-D-20-0315.1.
- Wiggins, E. B., et al. (2021), Reconciling assumptions in bottom-up and top-down approaches for estimating aerosol emission rates from wildland fires using observations from FIREX-AQ, J. Geophys. Res., 126, e2021JD035692, doi:10.1029/2021JD035692.
- Zhai, S., et al. (2021), Relating geostationary satellite measurements of aerosol optical depth (AOD) over East Asia to fine particulate matter (PM2.5): insights from the KORUS-AQ aircraft campaign and GEOS-Chem model simulations, Atmos. Chem. Phys., 21, 16775-16791, doi:10.5194/acp-21-16775-2021.
- Carter, T. S., et al. (2020), How emissions uncertainty influences the distribution and radiative impacts of smoke from fires in North America, Atmos. Chem. Phys., 20, 2073-2097, doi:10.5194/acp-20-2073-2020.
- Fairlie, T. D., et al. (2020), Estimates of Regional Source Contributions to the Asian Tropopause Aerosol Layer Using a Chemical Transport Model, J. Geophys. Res., 125, 4-20, doi:10.1029/2019JD031506.
- Heim, E. W., et al. (2020), Asian dust observed during KORUS-AQ facilitates the uptake and incorporation of soluble pollutants during transport to South Korea, Atmos. Environ., 224, 117305, doi:10.1016/j.atmosenv.2020.117305.
- Hodzic, A., et al. (2020), Characterization of organic aerosol across the global remote troposphere: a comparison of ATom measurements and global chemistry models, Atmos. Chem. Phys., 20, 4607-4635, doi:10.5194/acp-20-4607-2020.
- Hu, W., et al. (2020), Ambient Quantification and Size Distributions for Organic Aerosol in Aerosol Mass Spectrometers with the New Capture Vaporizer, Anal. Chem., 676, 676−689, doi:10.1021/acsearthspacechem.9b00310.
- Jordan, C. E., et al. (2020), Investigation of factors controlling PM2.5 variability across the South Korean Peninsula during KORUS-AQ, variability across the South Korean Peninsula during KORUS-AQ, 8, 28, doi:10.1525/elementa.424.
- Koenig, T., et al. (2020), Quantitative detection of iodine in the stratosphere, Proc. Natl. Acad. Sci., 117, doi:10.1073/pnas.1916828117.
- Lou, S., et al. (2020), New SOA Treatments Within the Energy Exascale Earth System Model (E3SM): Strong Production and Sinks Govern Atmospheric SOA Distributions and Radiative Forcing, J. Adv. Modeling Earth Syst., 12, e2020MS002266, doi:10.1029/2020MS002266.
- Nault, B., et al. (2020), Interferences with aerosol acidity quantification due to gas-phase ammonia uptake onto acidic sulfate filter samples, Atmos. Meas. Tech., 13, 6193-6213, doi:10.5194/amt-13-6193-2020.
- Pai, S. J., et al. (2020), An evaluation of global organic aerosol schemes using airborne observations, Atmos. Chem. Phys., 20, 2637-2665, doi:10.5194/acp-20-2637-2020.
- Saide Peralta, et al. (2020), Understanding and improving model representation of aerosol optical properties for a Chinese haze event measured during KORUS-AQ, Atmos. Chem. Phys., 20, 6455-6478, doi:10.5194/acp-20-6455-2020.
- Veres, P., et al. (2020), Global airborne sampling reveals a previously unobserved dimethyl sulfide oxidation mechanism in the marine atmosphere, Proc. Natl. Acad. Sci., 117, doi:10.1073/pnas.1919344117.
- Brock, C., et al. (2019), Aerosol size distributions during the Atmospheric Tomography Mission (ATom): methods, uncertainties, and data products, Atmos. Meas. Tech., 12, 3081-3099, doi:10.5194/amt-12-3081-2019.
- Chen, Y., et al. (2019), Cite This: Environ. Sci. Technol. 2019, 53, 5176−5186 pubs.acs.org/est Response of the Aerodyne Aerosol Mass Spectrometer to Inorganic Sulfates and Organosulfur Compounds: Applications in Field and Laboratory Measurements, Environ. Sci. Technol., doi:10.1021/acs.est.9b00884.
- Froyd, K., et al. (2019), A new method to quantify mineral dust and other aerosol species from aircraft platforms using single-particle mass spectrometry, Atmos. Meas. Tech., 12, 6209-6239, doi:10.5194/amt-12-6209-2019.
- Haskins, J. D., et al. (2019), Anthropogenic Control Over Wintertime Oxidation of Atmospheric Pollutants, Geophys. Res. Lett., 46, 14,826-14,835, doi:10.1029/2019GL085498.
- Hodshire, A., et al. (2019), The potential role of methanesulfonic acid (MSA) in aerosol formation and growth and the associated radiative forcings, Atmos. Chem. Phys., 19, 3137-3160, doi:10.5194/acp-19-3137-2019.
- Jeong, D., et al. (2019), Integration of airborne and ground observations of nitryl chloride in the Seoul metropolitan area and the implications on regional oxidation capacity during KORUS-AQ 2016, Atmos. Chem. Phys., 19, 12779-12795, doi:10.5194/acp-19-12779-2019.
- Jimenez, J. L., et al. (2019), ATom: L2 Measurements from CU High-Resolution Aerosol Mass Spectrometer (HR-AMS), Ornl Daac, doi:10.3334/ORNLDAAC/1716.
- Liao, J., et al. (2019), Towards a satellite formaldehyde – in situ hybrid estimate for organic aerosol abundance, Atmos. Chem. Phys., 19, 2765-2785, doi:10.5194/acp-19-2765-2019.
- Shah, V., et al. (2019), Widespread Pollution From Secondary Sources of Organic Aerosols During Winter in the Northeastern United States, Geophys. Res. Lett., 46, 2974-2983, doi:10.1029/2018GL081530.
- Sparks, T., et al. (2019), Comparison of Airborne Reactive Nitrogen Measurements During WINTER, J. Geophys. Res., 124, 10,483-10,502, doi:10.1029/2019JD030700.
- Tilmes, S., et al. (2019), Climate Forcing and Trends of Organic Aerosols in the Community Earth System Model (CESM2), J. Adv. Modeling Earth Syst., 11, 4323-4351, doi:10.1029/2019MS001827.
- Wang, S., et al. (2019), Atmospheric Acetaldehyde: Importance of Air‐Sea Exchange and a Missing Source in the Remote Troposphere, Geophys. Res. Lett., 46, doi:10.1029/2019GL082034.
- Williamson, C., et al. (2019), ATom: In Situ Tropical Aerosol Properties and Comparable Global Model Outputs, Ornl Daac, doi:10.3334/ORNLDAAC/1684.
- Williamson, C., et al. (2019), A large source of cloud condensation nuclei from new particle formation in the tropics, Nature, 574, 399-403, doi:10.1038/s41586-019-1638-9.
- Williamson, C. J., et al. (2019), A large source of cloud condensation nuclei from new particle formation in the tropics, Nature, doi:10.1038/s41586-019-1638-9.
- Baker, K. R., et al. (2018), Photochemical model evaluation of 2013 California wild fire air quality impacts using surface, aircraft, and satellite data, Science of the Total Environment, 637–638, 1137-1149, doi:10.1016/j.scitotenv.2018.05.048.
- Ervens, B., et al. (2018), Is there an aerosol signature of chemical cloud processing?, Atmos. Chem. Phys., 18, 16099-16119, doi:10.5194/acp-18-16099-2018.
- Haskins, J. D., et al. (2018), Wintertime Gas-Particle Partitioning and Speciation of Inorganic Chlorine in the Lower Troposphere Over the Northeast United States and Coastal Ocean, J. Geophys. Res., 123, 12,897-12,916, doi:10.1029/2018JD028786.
- Hu, W., et al. (2018), Evaluation of the New Capture Vaporizer for Aerosol Mass Spectrometers (AMS): Elemental Composition and Source Apportionment of Organic Aerosols (OA), Anal. Chem., 2, 410−421, doi:10.1021/acsearthspacechem.8b00002.
- Jaeglé, L., et al. (2018), Nitrogen Oxides Emissions, Chemistry, Deposition, and Export Over the Northeast United States During the WINTER Aircraft Campaign, J. Geophys. Res., 123, 12,368-12,393, doi:10.1029/2018JD029133.
- Katich, J., et al. (2018), Strong Contrast in Remote Black Carbon Aerosol Loadings Between the Atlantic and Pacific Basins, J. Geophys. Res., 123, 13,386-13,395, doi:10.1029/2018JD029206.
- Lamb, K., et al. (2018), Estimating Source Region Influences on Black Carbon Abundance, Microphysics, and Radiative Effect Observed Over South Korea, J. Geophys. Res., 123, 13,527-13,548, doi:10.1029/2018JD029257.
- McDuffie, E., et al. (2018), ClNO2 Yields From Aircraft Measurements During the 2015 WINTER Campaign and Critical Evaluation of the Current Parameterization, J. Geophys. Res., 123, 12,994-13,015, doi:10.1029/2018JD029358.
- Nault, B., et al. (2018), Secondary organic aerosol production from local emissions dominates the organic aerosol budget over Seoul, South Korea, during KORUS-AQ, Atmos. Chem. Phys., 18, 17769-17800, doi:10.5194/acp-18-17769-2018.
- Schroder, J. C., et al. (2018), Sources and Secondary Production of Organic Aerosols in the Northeastern United States during WINTER, J. Geophys. Res., 123, 7771-7796, doi:10.1029/2018JD028475.
- Shah, V., et al. (2018), Chemical feedbacks weaken the wintertime response of particulate sulfate and nitrate to emissions reductions over the eastern United States, Proc. Natl. Acad. Sci., 115, 8110-8115, doi:10.1073/pnas.1803295115.
- Wang, X., et al. (2018), Exploring the observational constraints on the simulation of brown carbon, Atmos. Chem. Phys., 18, 635-653, doi:10.5194/acp-18-635-2018.
- Wofsy, S. C., et al. (2018), ATom: Merged Atmospheric Chemistry, Trace Gases, and Aerosols, Ornl Daac, doi:10.3334/ORNLDAAC/1581.
- Hu, W., et al. (2017), Evaluation of the new Capture Vaporizer for Aerosol Mass Spectrometers (AMS) through field studies of inorganic species, Aerosol Sci. Tech., doi:10.1080/02786826.2017.1296104.
- Hu, W., et al. (2017), Evaluation of the new capture vapourizer for aerosol mass spectrometers (AMS) through laboratory studies of inorganic species, Atmos. Meas. Tech., 10, 2897-2921.
- Liu, X., et al. (2017), Airborne measurements of western U.S. wildfire emissions: Comparison with prescribed burning and air quality implications, J. Geophys. Res., 122, 6108-6129, doi:10.1002/2016JD026315.
- Perring, A., et al. (2017), In situ measurements of water uptake by black carbon-containing aerosol in wildfire plumes, J. Geophys. Res., 122, 1086-1097, doi:10.1002/2016JD025688.
- Silvern, R. F., et al. (2017), Inconsistency of ammonium–sulfate aerosol ratios with thermodynamic models in the eastern US: a possible role of organic aerosol, Atmos. Chem. Phys., 17, 5107-5118, doi:10.5194/acp-17-5107-2017.
- Sorooshian, A., et al. (2017), Contrasting aerosol refractive index and hygroscopicity in the inflow and outflow of deep convective storms: Analysis of airborne data from DC3, J. Geophys. Res., 122, 4565-4577, doi:10.1002/2017JD026638.
- Zhang, Y., et al. (2017), Top-of-atmosphere radiative forcing affected by brown carbon in the upper troposphere, Nature Geoscience, 10, 486, doi:10.1038/NGEO2960.
- Brock, C., et al. (2016), Aerosol optical properties in the southeastern United States in summer – Part 1: Hygroscopic growth, Atmos. Chem. Phys., 16, 4987-5007, doi:10.5194/acp-16-4987-2016.
- Brock, C., et al. (2016), Aerosol optical properties in the southeastern United States in summer – Part 2: Sensitivity of aerosol optical depth to relative humidity and aerosol parameters, Atmos. Chem. Phys., 16, 5009-5019, doi:10.5194/acp-16-5009-2016.
- Fisher, J. A., et al. (2016), Organic nitrate chemistry and its implications for nitrogen budgets in an isoprene- and monoterpene-rich atmosphere: constraints from aircraft (SEAC4RS) and ground-based (SOAS) observations in the Southeast US, Atmos. Chem. Phys., 16, 5969-5991, doi:10.5194/acp-16-5969-2016.
- Hu, W., et al. (2016), Volatility and lifetime against OH heterogeneous reaction of ambient isoprene-epoxydiols-derived secondary organic aerosol (IEPOX-SOA), Atmos. Chem. Phys., 16, 11563-11580, doi:10.5194/acp-16-11563-2016.
- Liu, X., et al. (2016), Agricultural fires in the southeastern U.S. during SEAC4RS: Emissions of trace gases and particles and evolution of ozone, reactive nitrogen, and organic aerosol, J. Geophys. Res., 121, 7383-7414, doi:10.1002/2016JD025040.
- Marais, E. A., et al. (2016), Aqueous-phase mechanism for secondary organic aerosol formation from isoprene: application to the southeast United States and co-benefit of SO2 emission controls, Atmos. Chem. Phys., 16, 1603-1618, doi:10.5194/acp-16-1603-2016.
- Nault, B., et al. (2016), Observational Constraints on the Oxidation of NOx in the Upper Troposphere, J. Phys. Chem. A, 120, 1468-1478, doi:10.1021/acs.jpca.5b07824.
- Shingler, T., et al. (2016), Airborne characterization of subsaturated aerosol hygroscopicity and dry refractive index from the surface to 6.5km during the SEAC4RS campaign, J. Geophys. Res., 121, 4188-4210, doi:10.1002/2015JD024498.
- Yates, E., et al. (2016), Airborne measurements and emission estimates of greenhouse gases and other trace constituents from the 2013 California Yosemite Rim wildfire, Atmos. Environ., 127, 293-302, doi:10.1016/j.atmosenv.2015.12.038.
- Yu, P., et al. (2016), Surface dimming by the 2013 Rim Fire simulated by a sectional aerosol model, J. Geophys. Res., 121, 7079-7087, doi:10.1002/2015JD024702.
- Barth, M. C., et al. (2015), The Deep Convective Clouds And Chemistry (Dc3) Field Campaign, Bull. Am. Meteorol. Soc., 1281-1310.
- Chen, Q., et al. (2015), Elemental composition of organic aerosol: The gap between ambient and laboratory measurements, Geophys. Res. Lett., 42, 4182-4189, doi:10.1002/2015GL063693.
- Forrister, H., et al. (2015), Evolution of brown carbon in wildfire plumes, Geophys. Res. Lett., 42, 4623-4630, doi:10.1002/2015GL063897.
- Hu, W., et al. (2015), Characterization of a real-time tracer for isoprene epoxydiols-derived secondary organic aerosol (IEPOX-SOA) from aerosol mass spectrometer measurements, Atmos. Chem. Phys., 15, 11807-11833, doi:10.5194/acp-15-11807-2015.
- Kim, P., et al. (2015), Sources, seasonality, and trends of southeast US aerosol: an integrated analysis of surface, aircraft, and satellite observations with the GEOS-Chem chemical transport model, Atmos. Chem. Phys., 15, 10411-10433, doi:10.5194/acp-15-10411-2015.
- Liao, J., et al. (2015), Airborne organosulfates measurements over the continental US, J. Geophys. Res., 120, 2990-3005, doi:10.1002/2014JD022378.
- Liu, J., et al. (2015), Brown carbon aerosol in the North American continental troposphere: sources, abundance, and radiative forcing, Atmos. Chem. Phys., 15, 7841-7858, doi:10.5194/acp-15-7841-2015.
- Saide Peralta, et al. (2015), Revealing important nocturnal and day-to-day variations in fire smoke emissions through a multiplatform inversion, Geophys. Res. Lett., 42, 3609-3618, doi:10.1002/2015GL063737.
- Wagner, N. L., et al. (2015), In situ vertical profiles of aerosol extinction, mass, and composition over the southeast United States during SENEX and SEAC4RS: observations of a modest aerosol enhancement aloft, Atmos. Chem. Phys., 15, 7085-7102, doi:10.5194/acp-15-7085-2015.
- Yang, Q., et al. (2015), Aerosol transport and wet scavenging in deep convective clouds: A case study and model evaluation using a multiple passive tracer analysis approach, J. Geophys. Res., 120, 8448-8468, doi:10.1002/2015JD023647.