Steve Ghan
Organization:
Pacific Northwest National Laboratory
Email:
Business Address:
Richland, WA 99352
United StatesFirst Author Publications:
- Ghan, S., et al. (2016), Challenges in constraining anthropogenic aerosol effects on cloud radiative forcing using present-day spatiotemporal variability, Proc. Natl. Acad. Sci., 113, 5804-5811, doi:10.1073/pnas.1514036113.
Co-Authored Publications:
- Kahn, R., et al. (2017), SAM-CAAM: A Concept for Acquiring Systematic Aircraft Measurements to Characterize Aerosol Air Masses, Bull. Am. Meteoro. Soc., 2215-2228, doi:10.1175/BAMS-D-16-0003.1.
- 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.
- Zhang, Z., et al. (2017), Intercomparisons of marine boundary layer cloud properties from the ARM CAP-MBL campaign and two MODIS cloud products, J. Geophys. Res., 122, doi:10.1002/2016JD025763.
- Koffi, B., et al. (2016), Evaluation of the aerosol vertical distribution in global aerosol models through comparison against CALIOP measurements: AeroCom phase II results, J. Geophys. Res., 121, 7254-7283, doi:10.1002/2015JD024639.
- Seinfeld, J. H., et al. (2016), COLLOQUIUM INTRODUCTION Improving our fundamental understanding of the role of aerosol−cloud interactions in the climate system, Proc. Natl. Acad. Sci., 113, doi:10.1073/pnas.1514043113.
- Ma, P., et al. (2015), How does increasing horizontal resolution in a global climate model improve the simulation of aerosol-cloud interactions?, Geophys. Res. Lett., 42, 5058-5065, doi:10.1002/2015GL064183.
- Shrivastava, M., et al. (2015), Global transformation and fate of SOA: Implications of low-volatility SOA and gas-phase fragmentation reactions, J. Geophys. Res., 120, 4169-4195, doi:10.1002/2014JD022563.
- 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.
- Fan, J., et al. (2014), Development of a Scale-Aware Cumulus Parameterization – Part I: Evaluation of Model Simulations with Spectral-Bin Microphysics and Comparisons with Bulk Microphysics, J. Geophys. Res. (submitted).
- Jiao, C., et al. (2014), An AeroCom assessment of black carbon in Arctic snow and sea ice, Atmos. Chem. Phys., 14, 2399-2417, doi:10.5194/acp-14-2399-2014.
- Liu, Y., et al. (2014), Development of a Scale-Aware Cumulus Parameterization – Part II: Analysis of Cloud-Resolving Model Simulations, J. Geophys. Res. (submitted).
- Ovchinnikov, M., et al. (2014), Intercomparison of large-eddy simulations of Arctic mixed-phase clouds: Importance of ice size distribution assumptions, J. Adv. Modeling Earth Syst., 6, 223-248, doi:10.1002/2013MS000282.
- 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.
- Tsigaridis, K., et al. (2014), The AeroCom evaluation and intercomparison of organic aerosol in global models, Atmos. Chem. Phys., 14, 10845-10895, doi:10.5194/acp-14-10845-2014.
- Bond, T. C., et al. (2013), Bounding the role of black carbon in the climate system: A scientific assessment, J. Geophys. Res., 118, 5380-5552, doi:10.1002/jgrd.50171.
- Myhre, G., et al. (2013), Radiative forcing of the direct aerosol effect from AeroCom Phase II simulations, Atmos. Chem. Phys., 13, 1853-1877, doi:10.5194/acp-13-1853-2013.
- 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.
- Shindell, D., et al. (2013), Radiative forcing in the ACCMIP historical and future climate simulations, Atmos. Chem. Phys., 13, 2939-2974, doi:10.5194/acp-13-2939-2013.
- Stier, P., et al. (2013), Host model uncertainties in aerosol radiative forcing estimates: results from the AeroCom prescribed intercomparison study, Atmos. Chem. Phys., 13, 3245-3270, doi:10.5194/acp-13-3245-2013.
- Koffi, B., et al. (2012), Application of the CALIOP layer product to evaluate the vertical distribution of aerosols estimated by global models: AeroCom phase I results, J. Geophys. Res., 117, D10201, doi:10.1029/2011JD016858.
- Wang, M., et al. (2012), Constraining cloud lifetime effects of aerosols using A-Train satellite observations, Geophys. Res. Lett., 39, L15709, doi:10.1029/2012GL052204.
- Huneeus, N., et al. (2011), Global dust model intercomparison in AeroCom phase I, Atmos. Chem. Phys., 11, 7781-7816, doi:10.5194/acp-11-7781-2011.
- Wang, M., et al. (2011), Aerosol indirect effects in a multi-scale aerosol-climate model PNNL-MMF, Atmos. Chem. Phys., 11, 5431-5455, doi:10.5194/acp-11-5431-2011.
- Wang, M., et al. (2011), The multi-scale aerosol-climate model PNNL-MMF: model description and evaluation, Geosci. Model Dev., 4, 137-168, doi:10.5194/gmd-4-137-2011.
- Gettelman, A., et al. (2010), Global simulations of ice nucleation and ice supersaturation with an improved cloud scheme in the Community Atmosphere Model, J. Geophys. Res., 115, D18216, doi:10.1029/2009JD013797.
- Koch, D., et al. (2009), Evaluation of black carbon estimations in global aerosol models, Atmos. Chem. Phys., 9, 9001-9026, doi:10.5194/acp-9-9001-2009.
- Gettelman, A., H. Morrison, and S. Ghan (2008), A New Two-Moment Bulk Stratiform Cloud Microphysics Scheme in the Community Atmosphere Model, Version 3 (CAM3). Part II: Single-Column and Global Results, J. Climate, 21, 3660-3679, doi:10.1175/2008JCLI2116.1.
- Ferrare, R., et al. (2006), The Atmospheric Radiation Measurement Program May 2003 Intensive Operations Period examining aerosol properties and radiative influences; Preface to special section, J. Geophys. Res., 11, D05S08, doi:10.1029/2005JD005836.
- 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.
- Kinne, S., et al. (2003), Monthly averages of aerosol properties: A global comparison among models, satellite data, and AERONET ground data, J. Geophys. Res., 108, 4634, doi:10.1029/2001JD001253.
- Menon, S., et al. (2003), Evaluating aerosol/cloud/radiation process parameterizations with single-column models and Second Aerosol Characterization Experiment (ACE-2) cloudy column observations, J. Geophys. Res., 108, 4762, doi:10.1029/2003JD003902.