Search Results - "Fast, D J"

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  1. 1

    The Lagrangian particle dispersion model FLEXPART-WRF version 3.1 by Brioude, J, Arnold, D, Stohl, A, Cassiani, M, Morton, D, Seibert, P, Angevine, W, Evan, S, Dingwell, A, Fast, J. D, Easter, R. C, Pisso, I, Burkhart, J, Wotawa, G

    Published in Geoscientific Model Development (01-11-2013)
    “…The Lagrangian particle dispersion model FLEXPART was originally designed for calculating long-range and mesoscale dispersion of air pollutants from point…”
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  2. 2

    The spatial distribution of mineral dust and its shortwave radiative forcing over North Africa: modeling sensitivities to dust emissions and aerosol size treatments by Zhao, C., Liu, X., Leung, L. R., Johnson, B., McFarlane, S. A., Gustafson, W. I., Fast, J. D., Easter, R.

    Published in Atmospheric chemistry and physics (20-09-2010)
    “…A fully coupled meteorology-chemistry-aerosol model (WRF-Chem) is applied to simulate mineral dust and its shortwave (SW) radiative forcing over North Africa…”
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    Journal Article
  3. 3

    Enhanced SOA formation from mixed anthropogenic and biogenic emissions during the CARES campaign by Shilling, J. E, Zaveri, R. A, Fast, J. D, Kleinman, L, Alexander, M. L, Canagaratna, M. R, Fortner, E, Hubbe, J. M, Jayne, J. T, Sedlacek, A, Setyan, A, Springston, S, Worsnop, D. R, Zhang, Q

    Published in Atmospheric chemistry and physics (21-02-2013)
    “…The CARES campaign was conducted during June, 2010 in the vicinity of Sacramento, California to study aerosol formation and aging in a region where…”
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  4. 4

    Technical Note: Evaluation of the WRF-Chem "Aerosol Chemical to Aerosol Optical Properties" Module using data from the MILAGRO campaign by Barnard, J C, Fast, J D, Paredes-Miranda, G, Arnott, W P, Laskin, A

    Published in Atmospheric chemistry and physics (09-08-2010)
    “…A comparison between observed aerosol optical properties from the MILAGRO field campaign, which took place in the Mexico City Metropolitan Area (MCMA) during…”
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  5. 5

    Volatility basis-set approach simulation of organic aerosol formation in East Asia: implications for anthropogenic–biogenic interaction and controllable amounts by Matsui, H, Koike, M, Kondo, Y, Takami, A, Fast, J. D, Kanaya, Y, Takigawa, M

    Published in Atmospheric chemistry and physics (16-09-2014)
    “…Organic aerosol (OA) simulations using the volatility basis-set approach were made for East Asia and its outflow region. Model simulations were evaluated…”
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  6. 6
  7. 7

    Comparison of mixed layer heights from airborne high spectral resolution lidar, ground-based measurements, and the WRF-Chem model during CalNex and CARES by Scarino, A. J, Obland, M. D, Fast, J. D, Burton, S. P, Ferrare, R. A, Hostetler, C. A, Berg, L. K, Lefer, B, Haman, C, Hair, J. W, Rogers, R. R, Butler, C, Cook, A. L, Harper, D. B

    Published in Atmospheric chemistry and physics (05-06-2014)
    “…The California Research at the Nexus of Air Quality and Climate Change (CalNex) and Carbonaceous Aerosol and Radiative Effects Study (CARES) field campaigns…”
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  8. 8

    Coupling aerosol-cloud-radiative processes in the WRF-Chem model: Investigating the radiative impact of elevated point sources by Chapman, E. G., Gustafson, W. I., Easter, R. C., Barnard, J. C., Ghan, S. J., Pekour, M. S., Fast, J. D.

    Published in Atmospheric chemistry and physics (06-02-2009)
    “…The local and regional influence of elevated point sources on summertime aerosol forcing and cloud-aerosol interactions in northeastern North America was…”
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  9. 9

    Development of an aerosol microphysical module: Aerosol Two-dimensional bin module for foRmation and Aging Simulation (ATRAS) by Matsui, H, Koike, M, Kondo, Y, Fast, J. D, Takigawa, M

    Published in Atmospheric chemistry and physics (30-09-2014)
    “…Number concentrations, size distributions, and mixing states of aerosols are essential parameters for accurate estimations of aerosol direct and indirect…”
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  10. 10
  11. 11

    Assessing the CAM5 physics suite in the WRF-Chem model: implementation, resolution sensitivity, and a first evaluation for a regional case study by Ma, P.-L, Rasch, P. J, Fast, J. D, Easter, R. C, Gustafson Jr., W. I, Liu, X, Ghan, S. J, Singh, B

    Published in Geoscientific Model Development (06-05-2014)
    “…A suite of physical parameterizations (deep and shallow convection, turbulent boundary layer, aerosols, cloud microphysics, and cloud fraction) from the global…”
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    Journal Article
  12. 12

    Development and validation of a black carbon mixing state resolved three-dimensional model: Aging processes and radiative impact by Matsui, H., Koike, M., Kondo, Y., Moteki, N., Fast, J. D., Zaveri, R. A.

    “…A new two‐dimensional aerosol bin scheme, which resolves both aerosol size and black carbon (BC) mixing state for BC aging processes (e.g., condensation and…”
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  13. 13

    Assessing regional scale predictions of aerosols, marine stratocumulus, and their interactions during VOCALS-REx using WRF-Chem by Yang, Q., Fast, J. D., Wang, H., Easter, R. C., Morrison, H., Lee, Y.-N., Chapman, E. G., Spak, S. N., Mena-Carrasco, M. A.

    Published in Atmospheric chemistry and physics (02-12-2011)
    “…This study assesses the ability of the recent chemistry version (v3.3) of the Weather Research and Forecasting (WRF-Chem) model to simulate boundary layer…”
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  14. 14

    A new WRF-Chem treatment for studying regional-scale impacts of cloud processes on aerosol and trace gases in parameterized cumuli by Berg, L. K, Shrivastava, M, Easter, R. C, Fast, J. D, Chapman, E. G, Liu, Y, Ferrare, R. A

    Published in Geoscientific Model Development (24-02-2015)
    “…A new treatment of cloud effects on aerosol and trace gases within parameterized shallow and deep convection, and aerosol effects on cloud droplet number, has…”
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  15. 15

    Modeling particle nucleation and growth over northern California during the 2010 CARES campaign by Lupascu, A., Easter, R., Zaveri, R., Shrivastava, M., Pekour, M., Tomlinson, J., Yang, Q., Matsui, H., Hodzic, A., Zhang, Q., Fast, J. D.

    Published in Atmospheric chemistry and physics (06-11-2015)
    “…Accurate representation of the aerosol lifecycle requires adequate modeling of the particle number concentration and size distribution in addition to their…”
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  16. 16

    Impact of natural and anthropogenic aerosols on stratocumulus and precipitation in the Southeast Pacific: a regional modelling study using WRF-Chem by Yang, Q, Gustafson Jr., W. I, Fast, J. D, Wang, H, Easter, R. C, Wang, M, Ghan, S. J, Berg, L. K, Leung, L. R, Morrison, H

    Published in Atmospheric chemistry and physics (28-09-2012)
    “…Cloud-system resolving simulations with the chemistry version of the Weather Research and Forecasting (WRF-Chem) model are used to quantify the relative…”
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  17. 17

    Impact of new particle formation on the concentrations of aerosols and cloud condensation nuclei around Beijing by Matsui, H., Koike, M., Kondo, Y., Takegawa, N., Wiedensohler, A., Fast, J. D., Zaveri, R. A.

    Published in Journal of Geophysical Research (13-10-2011)
    “…New particle formation (NPF) is one of the most important processes in controlling the concentrations of aerosols (condensation nuclei, CN) and cloud…”
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  18. 18

    Can 3-D models explain the observed fractions of fossil and non-fossil carbon in and near Mexico City? by Hodzic, A., Jimenez, J. L., Prévôt, A. S. H., Szidat, S., Fast, J. D., Madronich, S.

    Published in Atmospheric chemistry and physics (25-11-2010)
    “…A 3-D chemistry-transport model has been applied to the Mexico City metropolitan area to investigate the origin of elevated levels of non-fossil (NF)…”
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  19. 19

    Overview of the 2010 Carbonaceous Aerosols and Radiative Effects Study (CARES) by Zaveri, R. A, Shaw, W. J, Cziczo, D. J, Schmid, B, Ferrare, R. A, Alexander, M. L, Alexandrov, M, Alvarez, R. J, Arnott, W. P, Atkinson, D. B, Baidar, S, Banta, R. M, Barnard, J. C, Beranek, J, Berg, L. K, Brechtel, F, Brewer, W. A, Cahill, J. F, Cairns, B, Cappa, C. D, Chand, D, China, S, Comstock, J. M, Dubey, M. K, Easter, R. C, Erickson, M. H, Fast, J. D, Floerchinger, C, Flowers, B. A, Fortner, E, Gaffney, J. S, Gilles, M. K, Gorkowski, K, Gustafson, W. I, Gyawali, M, Hair, J, Hardesty, R. M, Harworth, J. W, Herndon, S, Hiranuma, N, Hostetler, C, Hubbe, J. M, Jayne, J. T, Jeong, H, Jobson, B. T, Kassianov, E. I, Kleinman, L. I, Kluzek, C, Knighton, B, Kolesar, K. R, Kuang, C, Kubátová, A, Langford, A. O, Laskin, A, Laulainen, N, Marchbanks, R. D, Mazzoleni, C, Mei, F, Moffet, R. C, Nelson, D, Obland, M. D, Oetjen, H, Onasch, T. B, Ortega, I, Ottaviani, M, Pekour, M, Prather, K. A, Radney, J. G, Rogers, R. R, Sandberg, S. P, Sedlacek, A, Senff, C. J, Senum, G, Setyan, A, Shilling, J. E, Shrivastava, M, Song, C, Springston, S. R, Subramanian, R, Suski, K, Tomlinson, J, Volkamer, R, Wallace, H. W, Wang, J, Weickmann, A. M, Worsnop, D. R, Yu, X.-Y, Zelenyuk, A, Zhang, Q

    Published in Atmospheric chemistry and physics (22-08-2012)
    “…Substantial uncertainties still exist in the scientific understanding of the possible interactions between urban and natural (biogenic) emissions in the…”
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  20. 20

    An investigation of the sub-grid variability of trace gases and aerosols for global climate modeling by Qian, Y., Gustafson, W. I., Fast, J. D.

    Published in Atmospheric chemistry and physics (29-07-2010)
    “…One fundamental property and limitation of grid based models is their inability to identify spatial details smaller than the grid cell size. While decades of…”
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