Daniel J. Bergmann
Organization:
Lawrence Livermore National Laboratory
Email:
Business Address:
Atmospheric Science Division
Livermore, CA
United StatesCo-Authored Publications:
- Fiore, A. M., et al. (2018), Peroxy acetyl nitrate (PAN) measurements at northern midlatitude mountain sites in April: a constraint on continental source–receptor relationships, Atmos. Chem. Phys., 18, 15345-15361, doi:10.5194/acp-18-15345-2018.
- Schnell, J. L., et al. (2015), Use of North American and European air quality networks to evaluate global chemistry-climate modeling of surface ozone, Atmos. Chem. Phys. Discuss., 15, 1-39, doi:10.5194/acpd-15-1-2015.
- Belikov, D. A., et al. (2013), Off-line algorithm for calculation of vertical tracer transport in the troposphere due to deep convection, Atmos. Chem. Phys., 13, 1093-1114, doi:10.5194/acp-13-1093-2013.
- Bowman, K., et al. (2013), Evaluation of ACCMIP outgoing longwave radiation from Tropospheric ozone using TES satellite observations, Atmos. Chem. Phys., 13, 4057-4072.
- Eyring, V., et al. (2013), Long-term ozone changes and associated climate impacts in CMIP5 simulations, J. Geophys. Res., 118, 5029-5060, doi:10.1002/jgrd.50316.
- Saito, R., et al. (2013), TransCom model simulations of methane: Comparison of vertical profiles with aircraft measurements, J. Geophys. Res., 118, 3891-3904, doi:10.1002/jgrd.50380.
- Yu, H., et al. (2013), A multi-model assessment of the influence of regional anthropogenic emission reductions on aerosol direct radiative forcing and the role of intercontinental transport, J. Geophys., Res, 118, 700-720, doi:10.1029/2012JD018148.
- Fry, M. M., et al. (2012), The influence of ozone precursor emissions from four world regions on tropospheric composition and radiative climate forcing, J. Geophys. Res., 117, D07306, doi:10.1029/2011JD017134.
- Wild, O., et al. (2012), Modelling future changes in surface ozone: a parameterized approach, Atmos. Chem. Phys., 12, 2037-2054, doi:10.5194/acp-12-2037-2012.
- Patra, P. K., et al. (2011), TransCom model simulations of CH4 and related species: linking transport, surface flux and chemical loss with CH4 variability in the troposphere and lower stratosphere, Atmos. Chem. Phys., 11, 12813-12837, doi:10.5194/acp-11-12813-2011.
- Anenberg, S. C., et al. (2009), Intercontinental Impacts of Ozone Pollution on Human Mortality, Environ. Sci. Technol., 43, 6482-6487.
- Fiore, A. M., et al. (2009), Multimodel estimates of intercontinental source-receptor relationships for ozone pollution, J. Geophys. Res., 114, D04301, doi:10.1029/2008JD010816.
- Reidmiller, D. R., et al. (2009), The influence of foreign vs. North American emissions on surface ozone in the US, Atmos. Chem. Phys., 9, 5027-5042, doi:10.5194/acp-9-5027-2009.
- Sanderson, M. G., et al. (2008), A multi-model study of the hemispheric transport and deposition of oxidised nitrogen, Geophys. Res. Lett., 35, L17815, doi:10.1029/2008GL035389.
- Shindell, D., et al. (2008), A multi-model assessment of pollution transport to the Arctic, Atmos. Chem. Phys., 8, 5353-5372, doi:10.5194/acp-8-5353-2008.
- Liu, X., et al. (2007), Uncertainties in global aerosol simulations: Assessment using three meteorological data sets, J. Geophys. Res., 112, D11212, doi:10.1029/2006JD008216.
- Dentener, F., et al. (2006), The Global Atmospheric Environment for the Next Generation, Environ. Sci. Technol., 40, 3586-3594, doi:10.1021/es0523845.
- Shindell, D., et al. (2006), Multimodel simulations of carbon monoxide: Comparison with observations and projected near-future changes, J. Geophys. Res., 111, D19306, doi:10.1029/2006JD007100.
- Stevenson, D. S., et al. (2006), Multimodel ensemble simulations of present-day and near-future tropospheric ozone, J. Geophys. Res., 111, D08301, doi:10.1029/2005JD006338.
- van Noije, T. P. C., et al. (2006), Multi-model ensemble simulations of tropospheric NO2 compared with GOME retrievals for the year 2000, Atmos. Chem. Phys., 6, 2943-2979, doi:10.5194/acp-6-2943-2006.
- Considine, D., D. J. Bergmann, and H. Liu (2005), Sensitivity of Global Modeling Initiative chemistry and transport model simulations of radon-222 and lead-210 to input meteorological data, Atmos. Chem. Phys., 5, 3389-3406, doi:10.5194/acp-5-3389-2005.
- Considine, D., et al. (2004), Sensitivity of Global Modeling Initiative model predictions of Antarctic ozone recovery to input meteorological fields, J. Geophys. Res., 109, D15301, doi:10.1029/2003JD004487.
- Marcy, T., et al. (2004), Quantifying Stratospheric Ozone in the Upper Troposphere with in Situ Measurements of HCl, Science, 304, 261-265, doi:10.1126/science.1093418.