Jean-Francois Lamarque
Organization:
National Center for Atmospheric Research
Email:
Business Phone:
Work:
(303) 497-1495
Business Address:
1850 Table Mesa Drive
Boulder, CO 80305
United StatesCo-Authored Publications:
- Ahsan, H., et al. (2024), The Emissions Model Intercomparison Project (Emissions-MIP): quantifying model sensitivity to emission characteristics, Atmos. Chem. Phys., doi:10.5194/acp-23-14779-2023.
- Guo, H., et al. (2023), Heterogeneity and chemical reactivity of the remote troposphere defined by aircraft measurements – corrected, Atmos. Chem. Phys., 23, 99-117, doi:10.5194/acp-23-99-2023.
- Li, Q., et al. (2022), Reactive halogens increase the global methane lifetime and radiative forcing in the 21st century, Nature, doi:10.1038/s41467-022-30456-8.
- Guo, H., et al. (2021), Heterogeneity and chemical reactivity of the remote troposphere defined by aircraft measurements, Atmos. Chem. Phys., 21, 13729-13746, doi:10.5194/acp-21-13729-2021.
- 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.
- 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.
- Wang, S., et al. (2020), Global Atmospheric Budget of Acetone: Air‐Sea Exchange and the Contribution to Hydroxyl Radicals, J. Geophys. Res., 125, e2020JD032553, doi:10.1029/2020JD032553.
- Asher, L., et al. (2019), Novel approaches to improve estimates of short-lived halocarbon emissions during summer from the Southern Ocean using airborne observations, Atmos. Chem. Phys., 19, 14071-14090, doi:10.5194/acp-19-14071-2019.
- Hall, S. R., et al. (2019), ATom: Global Modeled and CAFS Measured Cloudy and Clear Sky Photolysis Rates, 2016, Ornl Daac, doi:10.3334/ORNLDAAC/1651.
- Hall, S. R., et al. (2019), Atom: Global Modeled and CAFS Measured Cloudy and Clear Sky Photolysis Rates, 2016. ORNL DAAC, Oak Ridge, Tennessee, Ornl Daac, doi:10.3334/ORNLDAAC/1651.
- Suntharalingam, P., et al. (2019), Anthropogenic nitrogen inputs and impacts on oceanic N2O fluxes in the northern Indian Ocean: The need for an integrated observation and modelling approach, Deep-Sea Research Part II, xxx, xxx, doi:10.1016/j.dsr2.2019.03.007.
- 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), Ocean Biogeochemistry Control on the Marine Emissions of Brominated Very Short‐Lived Ozone‐Depleting Substances: A Machine‐Learning Approach, J. Geophys. Res., 124, doi:10.1029/2019JD031288.
- 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.
- Yang, H., et al. (2019), Large-scale transport into the Arctic: the roles of the midlatitude jet and the Hadley Cell, Atmos. Chem. Phys., 19, 5511-5528, doi:10.5194/acp-19-5511-2019.
- Hall, S. R., et al. (2018), Cloud impacts on photochemistry: building a climatology of photolysis rates from the Atmospheric Tomography mission, Atmos. Chem. Phys., 18, 16809-16828, doi:10.5194/acp-18-16809-2018.
- Orbe, C., et al. (2018), Large-scale tropospheric transport in the Chemistry–Climate Model Initiative (CCMI) simulations, Atmos. Chem. Phys., 18, 7217-7235, doi:10.5194/acp-18-7217-2018.
- Prather, M., et al. (2018), ATom: Simulated Data Stream for Modeling ATom-like Measurements, Ornl Daac, doi:10.3334/ORNLDAAC/1597.
- Prather, M., et al. (2018), How well can global chemistry models calculate the reactivity of short-lived greenhouse gases in the remote troposphere, knowing the chemical composition, Atmos. Meas. Tech., 11, 2653-2668, doi:10.5194/amt-11-2653-2018.
- Wofsy, S. C., et al. (2018), ATom: Merged Atmospheric Chemistry, Trace Gases, and Aerosols, Ornl Daac, doi:10.3334/ORNLDAAC/1581.
- Wu, X., et al. (2018), Spatial and temporal variability of interhemispheric transport times, Atmos. Chem. Phys., 18, 7439-7452, doi:10.5194/acp-18-7439-2018.
- Baker, A. R., et al. (2017), Observation- and model-based estimates of particulate dry nitrogen deposition to the oceans, Atmos. Chem. Phys., 17, 8189-8210, doi:10.5194/acp-17-8189-2017.
- Collins, W. J., et al. (2017), AerChemMIP: quantifying the effects of chemistry and aerosols in CMIP6, Geosci. Model. Dev., 10, 585-607, doi:10.5194/gmd-10-585-2017.
- Prather, M., et al. (2017), Global atmospheric chemistry – which air matters, Atmos. Chem. Phys., 17, 9081-9102, doi:10.5194/acp-17-9081-2017.
- Sand, M., et al. (2017), Aerosols at the poles: an AeroCom Phase II multi-model evaluation, Atmos. Chem. Phys., 17, 12197-12218, doi:10.5194/acp-17-12197-2017.
- Anderson, D., et al. (2016), A pervasive role for biomass burning in tropical high ozone/low water structures, Nature, doi:10.1038/ncomms10267.
- Orbe, C., et al. (2016), Tropospheric transport differences between models using the same large-scale meteorological fields, Geophys. Res. Lett., 44, doi:10.1002/2016GL071339.
- Matus, A., et al. (2015), The Role of Clouds in Modulating Global Aerosol Direct Radiative Effects in Spaceborne Active Observations and the Community Earth System Model, J. Climate, 28, 2986-3003, doi:10.1175/JCLI-D-14-00426.1.
- Matus, A., et al. (2015), The Role of Clouds in Modulating Global Aerosol Direct Radiative Effects in Spaceborne Active Observations and the Community Earth System Model, J. Climate, 28, 2986-3003, doi:10.1175/JCLI-D-14-00426.1.
- Prados-Roman, C., et al. (2015), A negative feedback between anthropogenic ozone pollution and enhanced ocean emissions of iodine, Atmos. Chem. Phys., 15, 2215-2224, doi:10.5194/acp-15-2215-2015.
- Prados-Roman, C., et al. (2015), Iodine oxide in the global marine boundary layer, Atmos. Chem. Phys., 15, 583-593, doi:10.5194/acp-15-583-2015.
- Cooper, O. R., et al. (2014), review, Elementa: Science of the Anthropocene • , 2, 29, doi:10.12952/journal.elementa.000029.
- Fernandez, R. P., et al. (2014), Bromine partitioning in the tropical tropopause layer: implications for stratospheric injection, Atmos. Chem. Phys., 14, 13391-13410, doi:10.5194/acp-14-13391-2014.
- Saiz-Lopez, A., et al. (2014), Iodine chemistry in the troposphere and its effect on ozone, Atmos. Chem. Phys., 14, 13119-13143, doi:10.5194/acp-14-13119-2014.
- Samset, B. H., et al. (2014), Modelled black carbon radiative forcing and atmospheric lifetime in AeroCom Phase II constrained by aircraft observations, Atmos. Chem. Phys., 14, 12465-12477, doi:10.5194/acp-14-12465-2014.
- Samset, B. H., et al. (2013), Black carbon vertical profiles strongly affect its radiative forcing uncertainty, Atmos. Chem. Phys., 13, 2423-2434, doi:10.5194/acp-13-2423-2013.
- Frost, G. J., et al. (2012), New Directions: Toward a Community Emissions Approach, Atmos. Environ., doi:10.1016/j.atmosenv.2012.01.055.
- Ordóñez, C., et al. (2012), Bromine and iodine chemistry in a global chemistry-climate model: description and evaluation of very short-lived oceanic sources, Atmos. Chem. Phys., 12, 1423-1447, doi:10.5194/acp-12-1423-2012.
- Saiz-Lopez, A., et al. (2012), Estimating the climate significance of halogen-driven ozone loss in the tropical marine troposphere, Atmos. Chem. Phys., 12, 3939-3949, doi:10.5194/acp-12-3939-2012.
- Clerbaux, C., et al. (2008), Carbon monoxide pollution from cities and urban areas observed by the Terra/MOPITT mission, Geophys. Res. Lett., 35, L03817, doi:10.1029/2007GL032300.
- Textor, C., et al. (2007), The effect of harmonized emissions on aerosol properties in global models – an AeroCom experiment, Atmos. Chem. Phys., 7, 4489-4501, doi:10.5194/acp-7-4489-2007.
- Kinne, S., et al. (2006), An AeroCom initial assessment – optical properties in aerosol component modules of global models, Atmos. Chem. Phys., 6, 1815-1834, doi:10.5194/acp-6-1815-2006.
- Textor, C., et al. (2006), Analysis and quantification of the diversities of aerosol life cycles within AeroCom, Atmos. Chem. Phys., 6, 1777-1813, doi:10.5194/acp-6-1777-2006.