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    Evaluating Cumulus Parameterization Schemes for the Simulation of Arabian Peninsula Winter Rainfall

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    Type
    Article
    Authors
    Attada, Raju
    Dasari, Hari Prasad cc
    Kunchala, Ravi Kumar
    Langodan, Sabique cc
    Kondapalli, Niranjan Kumar
    Knio, Omar cc
    Hoteit, Ibrahim cc
    KAUST Department
    Applied Mathematics and Computational Science Program
    Computer, Electrical and Mathematical Sciences and Engineering (CEMSE) Division
    Earth Fluid Modeling and Prediction Group
    Earth Science and Engineering Program
    Physical Science and Engineering (PSE) Division
    Red Sea Research Center (RSRC)
    KAUST Grant Number
    REP/1/3268-01-01
    Date
    2020-05-22
    Online Publication Date
    2020-05-22
    Print Publication Date
    2020-05-01
    Embargo End Date
    2020-10-17
    Permanent link to this record
    http://hdl.handle.net/10754/662593
    
    Metadata
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    Abstract
    This study investigates the sensitivity of winter seasonal rainfall over the Arabian Peninsula (AP) to different convective physical parameterization schemes using a high resolution WRF model. Three different parameterization schemes: Kain-Fritch (KF), Betts-Miller-Janjic (BMJ), and Grell-Freitas (GF) are used in winter simulations from 2001 to 2016. Results from seasonal simulations suggest that simulated AP winter rainfall with KF is in best agreement with observed rainfall in terms of spatial distribution and intensity. Higher spatial correlation coefficients and less biases with observations are also obtained with KF. In addition, the regional moisture transport, cloud distribution, and cloud microphysical responses are better simulated by KF. The AP low-level circulation, characterized by the Arabian Anticyclone, is well captured by KF and BMJ, but its position is displaced in GF. KF is further more successful at simulating the moisture distribution in the lower atmosphere and atmospheric water plumes in the middle troposphere. The higher skill of rainfall simulation with the KF (and to some extent BMJ) is attributed to a better representation of the Arabian Anticyclone and subtropical westerly jet, which guides the upper tropospheric synoptic transients and moisture. In addition, the vertical profile of diabatic heating from KF is in better agreement with the observations. Discrepancies in representing the diabatic heating profile by BMJ and GF show discrepancies in instability and in turn precipitation biases. Our results indicate that the selection of sub-grid convective parameterization in a high-resolution atmospheric model over the AP is an important factor for accurate regional rainfall simulations.
    Citation
    Attada, R., Dasari, H. P., Kunchala, R. K., Langodan, S., Kondapalli, N. K., Knio, O., & Hoteit, I. (2020). Evaluating Cumulus Parameterization Schemes for the Simulation of Arabian Peninsula Winter Rainfall. Journal of Hydrometeorology. doi:10.1175/jhm-d-19-0114.1
    Sponsors
    This research work was supported by the Office of Sponsored Research (OSR) at King Abdulla University of Science and Technology (KAUST) under the “Virtual Red Sea Initiative” (Grant # REP/1/3268-01-01). All simulations were conducted on the KAUST Super Computational facility SHAHEEN supported by the KAUST Supercomputing Laboratory (KSL). The authors would like to thank three anonymous reviewers for their constructive and insightful comments
    Publisher
    American Meteorological Society
    Journal
    Journal of Hydrometeorology
    DOI
    10.1175/jhm-d-19-0114.1
    Additional Links
    http://journals.ametsoc.org/doi/10.1175/JHM-D-19-0114.1
    ae974a485f413a2113503eed53cd6c53
    10.1175/jhm-d-19-0114.1
    Scopus Count
    Collections
    Articles; Red Sea Research Center (RSRC); Applied Mathematics and Computational Science Program; Physical Science and Engineering (PSE) Division; Earth Science and Engineering Program; Computer, Electrical and Mathematical Sciences and Engineering (CEMSE) Division

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