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    Derivation of aerosol profiles for MC3E convection studies and use in simulations of the 20 May squall line case

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    Author
    Fridlind, Ann M.
    Li, Xiaowen
    Wu, Di
    van Lier-Walqui, Marcus
    Ackerman, Andrew S.
    Tao, Wei-Kuo
    McFarquhar, Greg M.
    Wu, Wei cc
    Dong, Xiquan
    Wang, Jingyu
    Ryzhkov, Alexander
    Zhang, Pengfei
    Poellot, Michael R.
    Neumann, Andrea
    Tomlinson, Jason M.
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    Affiliation
    Univ Arizona, Dept Hydrol & Atmospher Sci
    Issue Date
    2017-05-15
    
    Metadata
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    Publisher
    COPERNICUS GESELLSCHAFT MBH
    Citation
    Derivation of aerosol profiles for MC3E convection studies and use in simulations of the 20 May squall line case 2017, 17 (9):5947 Atmospheric Chemistry and Physics
    Journal
    Atmospheric Chemistry and Physics
    Rights
    © Author(s) 2017. This work is distributed under the Creative Commons Attribution 3.0 License.
    Collection Information
    This item from the UA Faculty Publications collection is made available by the University of Arizona with support from the University of Arizona Libraries. If you have questions, please contact us at repository@u.library.arizona.edu.
    Abstract
    Advancing understanding of deep convection microphysics via mesoscale modeling studies of well-observed case studies requires observation-based aerosol inputs. Here, we derive hygroscopic aerosol size distribution input profiles from ground-based and airborne measurements for six convection case studies observed during the Midlatitude Continental Convective Cloud Experiment (MC3E) over Oklahoma. We demonstrate use of an input profile in simulations of the only well-observed case study that produced extensive stratiform outflow on 20 May 2011. At well-sampled elevations between -11 and -23 degrees C over widespread stratiform rain, ice crystal number concentrations are consistently dominated by a single mode near similar to 400 mu m in randomly oriented maximum dimension (D-max). The ice mass at -23 degrees C is primarily in a closely collocated mode, whereas a mass mode near D-max similar to 1000 mu m becomes dominant with decreasing elevation to the -11 degrees C level, consistent with possible aggregation during sedimentation. However, simulations with and without observation-based aerosol inputs systematically overpredict mass peak D-max by a factor of 3-5 and under-predict ice number concentration by a factor of 4-10. Previously reported simulations with both two-moment and sizeresolved microphysics have shown biases of a similar nature. The observed ice properties are notably similar to those reported from recent tropical measurements. Based on several lines of evidence, we speculate that updraft microphysical pathways determining outflow properties in the 20 May case are similar to a tropical regime, likely associated with warm-temperature ice multiplication that is not well understood or well represented in models.
    ISSN
    1680-7324
    DOI
    10.5194/acp-17-5947-2017
    Version
    Final published version
    Sponsors
    Office of Science (BER), US Department of Energy through UCAR [DE-SC0006988, DE-SC0014065, DE-SC0016476, Z17-90029]; NASA Radiation Sciences Program; US Department of Energy, Office of Science, Office of Biological and Environmental Research, Climate and Environmental Sciences Division; NASA [NNX10AN38G]; NASA Modeling, Analysis and Prediction (MAP) program; NASA High-End Computing (HEC) Program through the NASA Advanced Supercomputing (NAS) Division at Ames Research Center; NASA's Center for Climate Simulation (NCCS) at Goddard Space Flight Center
    Additional Links
    http://www.atmos-chem-phys.net/17/5947/2017/
    ae974a485f413a2113503eed53cd6c53
    10.5194/acp-17-5947-2017
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