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dc.contributor.authorPradhan, P. K.
dc.contributor.authorDasari, Hari Prasad
dc.contributor.authorDesamsetti, Srinivas
dc.contributor.authorRao, S. Vijaya Bhaskara
dc.contributor.authorGuvvala, Rambabu
dc.date.accessioned2021-03-24T13:51:06Z
dc.date.available2021-03-24T13:51:06Z
dc.date.issued2021-02-19
dc.date.submitted2020-05-12
dc.identifier.citationPradhan, P. K., Dasari, H. P., Desamsetti, S., Rao, S. V. B., & Guvvala, R. (2021). Sensitivity to initial conditions on the simulation of extratropical cyclone “Gong” formed over North Atlantic. Journal of Earth System Science, 130(1). doi:10.1007/s12040-020-01546-2
dc.identifier.issn0973-774X
dc.identifier.issn2347-4327
dc.identifier.doi10.1007/s12040-020-01546-2
dc.identifier.urihttp://hdl.handle.net/10754/668254
dc.description.abstractResearch highlights: Sensitivity of initial and boundary conditions (ICs) are studied for an extra-tropical cyclone (ETC, Gong (2013)) over North Atlantic Ocean using WRF model.Movement (track) and synoptic feature of Gong have been evaluated with observations. WRF could simulate the characteristics throughout life cycle of Gong.The model attained intense stage was well simulated.Cyclogenesis and Q-Vector for Gong are sensitive to the ICs and model could simulate better with 48-h lead time. Abstract: The role of initial conditions (ICs) in the simulation of severe winter storm ‘Gong’ formed over North Atlantic is studied. The life cycle of Gong started at 1800 UTC of 16–0600 UTC of 22 January, 2013, with CSLP of 972 hPa. The gusty wind (~33 ms−1) and torrential rainfall of ~90 mm d−1 recorded over several major cities of the Iberian peninsula. Five numerical experiments were performed with the WRF model by initializing at 0600 UTC of 16, 1800 UTC of 16, 0600 UTC of 17, 1800 UTC of 17, and 0600 UTC of 18 January, 2013. Our results suggest that significant differences are seen among the experiments, particularly with the ICs of 0600 UTC 17 January, 2013, which represent the quick movement of Gong with a slight underestimation of intensity. The experiment with IC 0600 UTC on 18 January, 2013 produced the best simulation as compared to the observations. The simulated track, intensity, wind flow, and rainfall were well agreeing with the observations. The 12-h average track errors were ranging from 95 to 332 km with 24-, 36-, 48-, 60-, and 72-h lead time. The Q-vectors of Gong with the WRF model with 24-h lead time produced minimum errors.
dc.description.sponsorshipP K Pradhan acknowledges the ISRO-RESPOND (No: ISRO/RES/2/397/18-19) project, Govt. of India for financial support. The Mesoscale and Microscale Divisions of NCAR are sincerely acknowledged for online access to the Advanced Research Weather Research and Forecasting (WRF-ARW) model. The authors gratefully acknowledge the NCEP for providing real-time FNL/GFS initial and boundary conditions. For model experiments validation being done using E-OBS, UNISYS, ERA-Interim reanalysis, TRMM 3b42, the mean sea level charts from UK Met Office, and satellite images from EUMETSAT are sincerely acknowledged. We thank the anonymous reviewers for their comments on the manuscript.
dc.publisherSpringer Nature
dc.relation.urlhttp://link.springer.com/10.1007/s12040-020-01546-2
dc.rightsArchived with thanks to Journal of Earth System Science
dc.titleSensitivity to initial conditions on the simulation of extratropical cyclone ‘Gong’ formed over North Atlantic
dc.typeArticle
dc.contributor.departmentBiological and Environmental Science and Engineering (BESE) Division
dc.contributor.departmentPhysical Science and Engineering (PSE) Division
dc.contributor.departmentRed Sea Research Center (RSRC)
dc.identifier.journalJournal of Earth System Science
dc.rights.embargodate2022-02-19
dc.eprint.versionPost-print
dc.contributor.institutionDepartment of Physics, Sri Venkateswara University, Tirupati, India
dc.contributor.institutionNational Centre for Medium Range Weather Forecasting (NCMRWF), Ministry of Earth Sciences, Noida, India
dc.identifier.volume130
dc.identifier.issue1
kaust.personDasari, Hari Prasad
dc.date.accepted2020-11-15
dc.identifier.eid2-s2.0-85101963546
refterms.dateFOA2021-03-28T06:59:38Z
dc.date.published-online2021-02-19
dc.date.published-print2021-12


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