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    Cloud resolving simulation of extremely heavy rainfall event over Kerala in August 2018 – Sensitivity to microphysics and aerosol feedback

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    Name:
    ATMOSRES_2020_833.pdf
    Size:
    6.204Mb
    Format:
    PDF
    Description:
    Accepted manuscript
    Embargo End Date:
    2023-04-19
    Download
    Type
    Article
    Authors
    Thomas, Biyo
    Viswanadhapalli, Yesubabu
    Srinivas, C.V.
    Dasari, Hari Prasad cc
    Attada, Raju
    Langodan, Sabique cc
    KAUST Department
    Biological and Environmental Science and Engineering (BESE) Division
    Physical Science and Engineering (PSE) Division
    Red Sea Research Center (RSRC)
    Date
    2021-04-19
    Online Publication Date
    2021-04-19
    Print Publication Date
    2021-08
    Embargo End Date
    2023-04-19
    Submitted Date
    2020-06-07
    Permanent link to this record
    http://hdl.handle.net/10754/668848
    
    Metadata
    Show full item record
    Abstract
    The state of Kerala located in the southwestern part of India experienced heavy to extremely heavy rainfall events from 07 to 17 August 2018 during the southwest monsoon, leading to a devastating flood and extensive infrastructure damage. Rainfall analysis suggests that the prolonged heavy rainfall event between 14 and 17 August 2018, was responsible for the major devastation. In this work, the sensitivity of prediction of heavy rainfall during 14–17 August 2018 to cloud microphysics parameterization (CMP) is investigated using the Weather Research and Forecasting (WRF) model. High resolution (1-km) cloud resolving simulations are conducted to study the sensitivity of rainfall to the cloud microphysics schemes and cloud-aerosol interactions. The model results are compared with observations such as Automatic Weather Station, Tropical Rainfall Measuring Mission, radiosonde, Global Precipitation Mission precipitation estimates and Doppler weather radar products. Comparisons of simulated hydrometeor structure with DWR estimates and thermodynamic stability indices with radiosonde reveal that the differences in microphysics formulations play a vital role on the thermodynamic profile that in turn influence the intensity of convection and hydrometeor structure responsible for the extremely heavy rainfall. Comparison of simulated rainfall with IMD observational estimates suggests that the Thomson aerosol aware scheme, followed by Goddard microphysics captured the spatial and temporal distributions of observed heavy rainfall. The Thomson aerosol aware scheme followed by Goddard produced strong convective instability conditions for heavy rainfall due to the simulation of a strong westerly jet and the formation of an offshore vortex.
    Citation
    Thomas, B., Viswanadhapalli, Y., Srinivas, C. V., Dasari, H. P., Attada, R., & Langodan, S. (2021). Cloud resolving simulation of extremely heavy rainfall event over Kerala in August 2018 – Sensitivity to microphysics and aerosol feedback. Atmospheric Research, 258, 105613. doi:10.1016/j.atmosres.2021.105613
    Sponsors
    India Meteorological Department (IMD) acknowledged for providing online access of the synoptic and automatic weather station data, Doppler Weather Radar products and the multi satellite-rain gauge merged product of rainfall. Radiosonde data for Kochi is downloaded the university of Wyoming, USA. The authors acknowledge ECMWF and Copernicus Climate Change Service for providing the ERA5 reanalysis data. The authors also acknowledge GES DISC, NASA for providing the rainfall estimates of TRMM3B42V7. The 0.25ox 0.25o GFS data used for the WRF model initialization is downloaded from NOMADS, NOAA. Authors wish to thank the anonymous reviewers for their technical comments which greatly helped to improve the content of the paper.
    Publisher
    Elsevier BV
    Journal
    Atmospheric Research
    DOI
    10.1016/j.atmosres.2021.105613
    Additional Links
    https://linkinghub.elsevier.com/retrieve/pii/S0169809521001654
    ae974a485f413a2113503eed53cd6c53
    10.1016/j.atmosres.2021.105613
    Scopus Count
    Collections
    Articles; Biological and Environmental Science and Engineering (BESE) Division; Red Sea Research Center (RSRC); Physical Science and Engineering (PSE) Division

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