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    Representation of Arabian Peninsula summer climate in a regional atmospheric model using spectral nudging

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    Manuscript_Revised.docx
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    Format:
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    Description:
    Accepted manuscript
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    Type
    Article
    Authors
    Attada, Raju
    Kunchala, Ravi Kumar
    Dasari, Hari Prasad cc
    Sivareddy, Sanikommu
    Yesubabu, Viswanadhapalli
    Knio, Omar cc
    Hoteit, Ibrahim cc
    KAUST Department
    Applied Mathematics and Computational Science Program
    Computer, Electrical and Mathematical Science and Engineering (CEMSE) Division
    Earth Fluid Modeling and Prediction Group
    Earth Science and Engineering Program
    Physical Science and Engineering (PSE) Division
    KAUST Grant Number
    CRG
    Date
    2021-04-15
    Online Publication Date
    2021-04-15
    Print Publication Date
    2021-07
    Embargo End Date
    2022-04-15
    Permanent link to this record
    http://hdl.handle.net/10754/669099
    
    Metadata
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    Abstract
    This study assesses the performance of the Weather Research and Forecasting (WRF) model in simulating the Arabian Peninsula summer climate for the period 2001–2016. The European Centre for Medium range Weather Forecast (ECMWF) reanalysis is downscaled using WRF without (CTRL) and with the Spectral Nudging (SPN) method. Our results suggest that the noticeable cold biases in surface temperatures (mean, minimum, and maximum) over the Arabian Peninsula in CTRL are significantly reduced in SPN. The seasonal patterns of surface pressure, cloud cover, lower and upper tropospheric circulation, and mid-tropospheric anticyclone are also simulated more realistically with SPN. The evaluation of mean vertical profiles of dynamical and thermo-dynamical features over the Arabian Peninsula further confirms the enhanced simulations with SPN with respect to CTRL. Though SPN captures better the observed evolution of rainfall compared to that of CTRL, it produces a positive rainfall bias over the Southwestern Arabian Peninsula. Stronger vertical motions associated with the local topography enhance the higher water vapor loading, condenses in the upper layers, and results in excess amount of rainfall in SPN. Furthermore, with SPN, WRF is further able to better simulate the synoptic features of heat waves. Overall, SPN enhances WRF simulation skill of the horizontal structures and vertical profiles of the Arabian Peninsula summer climate by enforcing a better balance between the small and large scale features and associated feedbacks.
    Citation
    Attada, R., Kunchala, R. K., Dasari, H. P., Sivareddy, S., Yesubabu, V., Knio, O., & Hoteit, I. (2021). Representation of Arabian Peninsula summer climate in a regional atmospheric model using spectral nudging. Theoretical and Applied Climatology. doi:10.1007/s00704-021-03617-w
    Sponsors
    This research work was supported by the Office of Sponsored Research (OSR) at King Abdullah University of Science and Technology (KAUST) under the Competitive Research Grant (CRG) program Grant#UFR/1/3706-01-01 and by the Saudi Aramco Center for Marine Environmental Research at KAUST. All simulations were conducted on the KAUST Super Computational facility (SHAHEEN) supported by the KAUST Supercomputing Laboratory (KSL).
    Publisher
    Springer Science and Business Media LLC
    Journal
    Theoretical and Applied Climatology
    DOI
    10.1007/s00704-021-03617-w
    Additional Links
    https://link.springer.com/10.1007/s00704-021-03617-w
    ae974a485f413a2113503eed53cd6c53
    10.1007/s00704-021-03617-w
    Scopus Count
    Collections
    Articles; Applied Mathematics and Computational Science Program; Physical Science and Engineering (PSE) Division; Earth Science and Engineering Program; Computer, Electrical and Mathematical Science and Engineering (CEMSE) Division

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