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dc.contributor.authorNellipudi, Nanaji Rao
dc.contributor.authorViswanadhapalli, Yesubabu
dc.contributor.authorChalla, Venkata Srinivas
dc.contributor.authorVissa, Naresh Krishna
dc.contributor.authorLangodan, Sabique
dc.date.accessioned2021-08-15T08:36:28Z
dc.date.available2021-08-15T08:36:28Z
dc.date.issued2021-07-24
dc.date.submitted2021-02-01
dc.identifier.citationNellipudi, N. R., Viswanadhapalli, Y., Challa, V. S., Vissa, N. K., & Langodan, S. (2021). Impact of surface roughness parameterizations on tropical cyclone simulations over the Bay of Bengal using WRF-OML model. Atmospheric Research, 262, 105779. doi:10.1016/j.atmosres.2021.105779
dc.identifier.issn0169-8095
dc.identifier.doi10.1016/j.atmosres.2021.105779
dc.identifier.urihttp://hdl.handle.net/10754/670605
dc.description.abstractThe impact of different surface roughness schemes in air-sea coupling on simulating tropical cyclones (TCs) over the Bay of Bengal is analyzed using Weather Research and Forecasting-Ocean Mixed layer (WRF-OML) modeling system. The sensitivity of three surface roughness schemes is tested by conducting three experiments for seven TCs namely Phailin (2013), Lehar (2013), Hudhud (2014), Vardah (2016), Gaja (2018), Fani (2019) and Amphan (2020). The first experiment (Opt0) is configured with surface drag and moist enthalpy from Garratt formulations, the second (Opt1) uses surface drag from Donelan and constant moist enthalpy formulations and the third experiment (Opt2) employs the modified moist enthalpy from Garratt formulations along with Donelan drag. Results of predicted track, intensities, precipitation and structure of the cyclones are highly sensitive to the surface exchange coefficients formulated through the roughness parameterization. The Opt2 followed by Opt1 experiments captured the deepening and mature phases of the storm close to the observed estimates for both pre- and post-monsoon TCs, by improving the ocean-atmosphere feedback of surface energy fluxes. Comparison of simulated moisture convergence, transport and precipitation with observations for all cyclones suggest that the Opt2 provides an improved representation of surface enthalpy fluxes playing a crucial role in the moisture transport and cloud microphysical processes. The improved simulation of TCs with Opt1 and Opt2 over Opt0 is attributed to the realistic simulation of mixed layer deepening and sea surface temperature cooling effects in the model. An interesting result found from the WRF-OML simulations with three roughness schemes is the maximum moisture transport is mainly concentrated on the right sectors while the moisture convergence and precipitation are distributed on the left sectors of the cyclones.
dc.description.sponsorshipThe authors thank the India Meteorological Department for providing the access to observational datasets like best track data of tropical cyclone and cyclone reports. The authors acknowledge NCAR/USA for the public assess of the WRF-ARW model and NCEP for the access of the Global Forecast System model analysis used in the numerical simulations. Special Sensor Microwave Imager remote sensing data and Tropical Rainfall Measuring Mission data are obtained from NASA.The MLD data collected from the Copernicus Marine Environmental Monitoring Service (CMEMS). Nanaji Rao Nellipudi: Data curation, Formal analysis, Software, Investigation, Writing - Original draft. V. Yesubabu: Conceptualization, Methodology, Writing- Reviewing and Editing, Supervision. C.V. Srinivas: Methodology, Writing- Reviewing and Editing, Supervision. Naresh Krishna Vissa: Writing- Reviewing and Editing. Sabique Langodan: Writing- Reviewing and Editing.
dc.publisherElsevier BV
dc.relation.urlhttps://linkinghub.elsevier.com/retrieve/pii/S0169809521003355
dc.rightsNOTICE: this is the author’s version of a work that was accepted for publication in Atmospheric Research. Changes resulting from the publishing process, such as peer review, editing, corrections, structural formatting, and other quality control mechanisms may not be reflected in this document. Changes may have been made to this work since it was submitted for publication. A definitive version was subsequently published in Atmospheric Research, [262, , (2021-07-24)] DOI: 10.1016/j.atmosres.2021.105779 . © 2021. This manuscript version is made available under the CC-BY-NC-ND 4.0 license http://creativecommons.org/licenses/by-nc-nd/4.0/
dc.titleImpact of surface roughness parameterizations on tropical cyclone simulations over the Bay of Bengal using WRF-OML model
dc.typeArticle
dc.contributor.departmentPhysical Science and Engineering (PSE) Division
dc.identifier.journalAtmospheric Research
dc.rights.embargodate2023-08-06
dc.eprint.versionPost-print
dc.contributor.institutionWeather and Climate Research Group, National Atmospheric Research Laboratory, Gadanki, Andhra Pradesh, India
dc.contributor.institutionIndira Gandhi Centre for Atomic Research, Kalpakkam, Homi Bhabha National Institute, Mumbai, India
dc.contributor.institutionDepartment of Earth and Atmospheric Sciences, National Institute of Technology, Rourkela
dc.identifier.volume262
dc.identifier.pages105779
kaust.personLangodan, Sabique
dc.date.accepted2021-07-21
dc.identifier.eid2-s2.0-85111985531
dc.date.published-online2021-07-24
dc.date.published-print2021-11


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