Publications

Publications

  1. Z. D’Aquino, S. Arabas, J. H. Curtis, A. Vaishnav, N. Riemer, M. West [2023], PyPartMC: A Pythonic interface to a particle-resolved, Monte Carlo aerosol simulation framework, SoftwareX, 25, 101613, DOI: 10.1016/j.softx.2023.101613.
  2. J. L. Wang, J. H., Curtis, N. Riemer, M. West [2022], Learning coagulation processes with combinatorial neural networks, J. Adv. Model. Earth Sy., 14, e2022MS003252, DOI: 10.1029/2022MS003252.
  3. Y. Yao, J. H., Curtis, J. Ching, Z. Zheng, N. Riemer, [2022], Quantifying the effects of mixing state on aerosol optical properties, Atmos. Chem. Phys. , 22, 9265-9282, DOI: 10.5194/acp-22-9265-2022.
  4. M. L. Dawson, C. Guzman, J. H. Curtis, M. Acosta, S. Zhu, D. Dabdub, A. Conley, M. West, N. Riemer, O. Jorba, Chemistry Across Multiple Phases (CAMP) version 1.0: An integrated multi-phase chemistry model [2022], Geosci. Model Dev., 15, 3663-3689, DOI: 10.5194/gmd-15-3663-2022.
  5. Z. Zheng, J. H. Curtis, Y. Yao, J. T. Gasparik, V. G. Anantharaj, L. Zhao, M. West, N. Riemer [2021], Estimating submicron aerosol mixing state at the global scale with machine learning and earth system modeling, Earth and Space Science, 8, DOI: 10.1029/2020EA001500.
  6. J. T. Gasparik, Q. Ye, J. H. Curtis, A. A. Presto, N. M. Donahue, R. C. Sullivan, M. West, N. Riemer [2020], Quantifying errors in the aerosol mixing-state index based on limited particle sample size, Aerosol Sci. Technol., DOI: 10.1080/02786826.2020.1804523.
  7. N. Riemer, A. P. Ault, M. West, R. L. Craig, and J. H. Curtis [2019], Aerosol Mixing State: Measurements, Modeling, and ImpactsReviews of Geophysics57. DOI: 10.1029/2018RG000615.
  8. J. H. Curtis, N. Riemer, and M. West, M. [2017]: A single-column particle-resolved model for simulating the vertical distribution of aerosol mixing state: WRF-PartMC-MOSAIC-SCM v1.0, Geosci. Model Dev., 10, 4057-4079,10.5194/gmd-10-4057-2017.
  9. J. H. Curtis, M. D. Michelotti, N. Riemer, M. T. Heath, M. West [2016], Accelerated simulation of stochastic particle removal processes in particle-resolved aerosol models, J. Comput. Phys., 322, 21-32, DOI: 10.1016/j.jcp.2016.06.029.

Conference proceedings

  1. J. H. Curtis, N. Riemer, M. West, A three-dimensional particle-resolved model for quantifying error in CCN and optical properties  under common simplifying aerosol mixing state assumptions, poster presented at the International Aerosol Modeling Algorithms Conference in Davis, CA, U.S.A., 3-5 December 2023.
  2. J. H. Curtis, N. Riemer, M. West, Explicit Stochastic Advection Algorithms for Particle-Resolved Transport in Atmospheric Models, presented at American Meteorological Society 103rd Annual Meeting in Denver, CO, U.S.A., 8-12 January 2023.
  3. J. H. Curtis, S. Arabas, Z. D’Aquino, A. Vaishnav, J. Choi, N. Riemer, M. West, PyPartMC: Aerosol model intercomparisons with particle resolved models via Python bindings to C++ and Fortran, presented at American Geophysical Union Fall Meeting in Chicago, IL, U.S.A., 12-16 December 2022.
  4. J. H. Curtis, N. Riemer, M. West, Modeling billions of particles to quantify aerosol mixing state, phase, and spatial heterogeneity, poster presented at 2022 Joint Atmospheric Radiation Measurement (ARM) User Facility/Atmospheric System Research (ASR) Principal Investigators (PI) Meeting in Rockville, MD, U.S.A., 24-27 October 2022.
  5. J. H. Curtis, N. Riemer, M. West, A 3D particle-resolved model (WRF-PartMC) for quantifying structural uncertainties in a modal model (MAM3) on the regional scale, presented at the International Aerosol Modeling Algorithms Conference in Davis, CA, U.S.A., 6-8 December 2021.
  6. J. H. Curtis, N. Riemer, M. West, Benchmarking aerosol models on the regional scale using a stochastic particle-resolved approach, presented at the International Aerosol Modeling Algorithms Conference in Davis, CA, U.S.A., 4-6 December 2019.
  7. J. H. Curtis, N. Riemer, M. West, Making Unknown Unknowns More Known: Quantifying Structural Uncertainties with the Particle-resolved Model WRF-PartMC, poster presented at 2019 Joint Atmospheric Radiation Measurement (ARM) User Facility/Atmospheric System Research (ASR) Principal Investigators Meeting, Rockville, MD, U.S.A., 10-13 June 2019.
  8. J. H. Curtis, N. Riemer, M. West, Investigation of Spatial and Temporal Variations in Aerosol Mixing State Using a Particle‐Resolved Regional Aerosol  Model, poster presented at the 10th International Aerosol Conference, St Louis, MO, U.S.A., 2-7 September 2018.
  9. J. H. Curtis, N. Riemer, M. West, Investigation of Spatial and Temporal Variations in Aerosol Mixing State Using a Particle-resolved Regional Aerosol Model, poster presented at the 9th Atmospheric System Research (ASR) Science Team Meeting, Vienna, VA, U.S.A., 19-22 March 2018.
  10. J. H. Curtis, N. Riemer, M. West, A source-oriented aerosol emissions framework for particle-resolved modeling on the regional scale with WRF-PartMC, presented at NERL Computational Exposure Division (CED) Seminar in Research Triangle Park, NC, U.S.A.,February 20 2018.
  11. J. H. Curtis, N. Riemer, M. West, Investigation of spatial and temporal variations in aerosol mixing state using a particle-resolved regional aerosol model, presented at the
    International Aerosol Modeling Algorithms Conference in Davis, CA, U.S.A., December 6-8, 2017.
  12. J. H. Curtis, N. Riemer, M. West, A 3D Particle-resolved Model to Quantify Spatial and Temporal Variations in Aerosol Mixing State, poster presented at the 8th Atmospheric System Research (ASR) Science Team Meeting, Vienna, VA, U.S.A., 13-17 March 2017.
  13. J. H. Curtis, N. Riemer, M. West, Quantifying the Importance of Aerosol Mixing State for Aerosol Optical Properties on the Regional Scale, presented at 97th American Meteorological Society Annual Meeting, Seattle, WA, U.S.A., 26 January 2017.
  14. J. H. Curtis, N. Riemer, M. West, A 3D Particle-resolved Model to Quantify the Importance of Aerosol Mixing State for CCN Activity poster presented at the 7th Atmospheric System Research (ASR) Science Team Meeting, Vienna, VA, U.S.A., 2-5 May 2016.
  15. J. H. Curtis, N. Riemer, M. West, Particle-resolved modeling on the regional scale: black carbon mixing state impacts on CCN properties, presented at Department of Atmospheric Science Colloquia, Urbana, IL, U.S.A., 27 April 2016.
  16. J. H. Curtis, N. Riemer, M. West, A 3D Particle-resolved Model to Quantify the Importance of Black Carbon Mixing State for CCN Properties, presented at American Association for Aerosol Research 34st Annual Conference, Minneapolis, MN, U.S.A., 12-16 October 2015.
  17. J. H. Curtis, N. Riemer, M. West, Stochastic particle-resolved modeling of atmospheric aerosols and their climate impacts, presented at IV International Conference on Particle-Based Methods. Fundamentals and Applications PARTICLES 2015, Barcelona, Spain, 28-30 September 2015.
  18. J. H. Curtis, N. Riemer, M. West, A 3D particle-resolved model to quantify the importance of aerosol mixing state for CCN properties, presented at 6th Atmospheric System Research (ASR) Science Team Meeting, Vienna, Virginia, U.S.A., 16-19 March 2015.
  19. J. H. Curtis, N. Riemer, M. West, Parallel Stochastic Particle Method for Atmospheric Aerosol Modeling, poster presented at Computational Science and Engineering Annual Meeting, Urbana, IL, U.S.A., 10-11 April 2014.
  20. J. H. Curtis, N. Riemer, M. West, Coupling the Stochastic Particle-resolved Aerosol Model PartMC-MOSAIC with WRF, poster presented at Atmospheric System Research Science Team Meeting, Potomac, VA, U.S.A., 10-13 March 2014.
  21. J. H. Curtis, N. Riemer, M. West, Parallel Stochastic Particle Methods for Atmospheric Aerosol Modeling, presented at Computational Science and Engineering Annual Meeting, Urbana, IL, U.S.A., 24-25 April 2013.
  22. J. H. Curtis, N. Riemer, M. West, Modeling Black Carbon Aging with PartMC-1D, poster presented at Atmospheric System Research Science Team Meeting, Potomac, VA, U.S.A., 18-21 March 2013.
  23. J. H. Curtis, N. Riemer, M. West, Simulating Black Carbon Mixing State in the Planetary Boundary Layer with a Particle-Resolving Single-Column Model, poster presented at American Association for Aerosol Research 31st Annual Conference, Minneapolis, MN, U.S.A., 8-12 October 2012.
  24. J. H. Curtis, N. Riemer, M. West, Parallel Spatial Stochastic Particle Methods for Atmospheric Aerosol Modeling, poster presented at Computational Science and Engineering Annual Research Symposium, Urbana, U.S.A., 24 April 2012.
  25. J. H. Curtis, N. Riemer, M. West, Coupling the Stochastic Particle-resolved Aerosol Model PartMC-MOSAIC with WRF, poster presented at Atmospheric System Research Science Team Meeting, Arlington, U.S.A., 12-16 March 2012.
  26. J. H. Curtis, N. Riemer, M. West, Coupling the Stochastic Particle-resolved Aerosol Model PartMC-MOSAIC with WRF, poster presented at International Aerosol Modeling Algorithms Conference, Davis, U.S.A., 31 November – 2 December 2011.