Publications
- 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.
- 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.
- 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.
- 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.
- 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.
- 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.
- 2019], Aerosol Mixing State: Measurements, Modeling, and Impacts. Reviews of Geophysics, 57. DOI: 10.1029/2018RG000615. , and J. H.
- 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.
- 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
- 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.
- 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.
- 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.
- 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.
- 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.
- 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.
- 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.
- 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.
- 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.
- 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.
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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 theInternational Aerosol Modeling Algorithms Conference in Davis, CA, U.S.A., December 6-8, 2017.
- 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.
- 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.
- 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.
- 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.
- 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.
- 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.
- 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.
- 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.
- 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.
- 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.
- 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.
- 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.
- 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.
- 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.
- 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.