KUET Institutional Repository

Sensitivity of Tropical Cyclone Mahasen to Physical Parameterization Schemes using Weather Research & Forecasting (WRF) model

Show simple item record

dc.contributor.advisor Akhter, Prof. Dr. Md. Abdullah Elias
dc.contributor.author Debnath, Samir Kumar
dc.date.accessioned 2018-12-23T10:46:58Z
dc.date.available 2018-12-23T10:46:58Z
dc.date.copyright 2018
dc.date.issued 2018-01
dc.identifier.other ID 1155554
dc.identifier.uri http://hdl.handle.net/20.500.12228/470
dc.description This thesis is submitted to the Department of Physics, Khulna University of Engineering & Technology in partial fulfillment of the requirements for the degree of Master of Philosophy in Physics, January 2018. en_US
dc.description Cataloged from PDF Version of Thesis.
dc.description Includes bibliographical references (pages 107-115).
dc.description.abstract In this study, the sensitivity of numerical simulations of tropical cyclone to physical parameterizations is carried out with a view to determine the best set of physics options for prediction of cyclones originating in the north Indian Ocean. For this purpose, the tropical cyclone Mahasen that formed in the Bay of Bengal and crossed Bangladesh-Myanmar coast in the month of May, 2013 has been simulated by the advanced (or state of science) mesoscale Weather Research and Forecasting (WRF) model with the available physical parameterizations. To determine on the prediction of track and intensity of Tropical Cyclone Mahasen has been used single domain with latitude from 2.0450 N to 26.4800N and longitude from 73.960 E to 97.040E. Domain has been used 12 km horizontal resolution. Different run and different physical parameterizations have been used available in the model. The different physical parameterizations schemes are KF, BMJ , GF, OSAS and Grell-3 for Cumulus; YSU, MYJ, GBM, MYNN3, ACM2, MYNN2, BouLac, UW, TEMF and MRF for Planetary Boundary Layer; WSM6, Kessler, Purdue Lin, WSM3, WSM5, Eta, Thompson, Morrison 2-mom, CAM5.1, SBU-Ylin, WDM5, WDM6, NSSL 2-mom, NSSL 2-mom-CCN, NSSL 1-mom and NSSL 1-momlfo for Microphysics; UNLS, TDS, RUC, NLS, CLM4.0 and PXS for Land surface model; Dudhia, GSFC ARW+Chem(τ), CAM, RRTMG, New Goddard and FLG for Short Wave Radiation; RRTM, CAM Long wave (CAM), RRTMG, New Goddard FLG and Held-Suarez for Long Wave Radiation that have been used for the purpose to test the Sensitivity of Tropical Cyclone Mahasen to Physical Parameterization Schemes using Weather Research & Forecasting (WRF) model. Three parameters track, wind speed and CSLP has been used for calculating Root Mean Square Error (RMSE) to find the best physical made using parameterizations option with respect to observed. Finally Betts Miller Janjic (BMJ) for Cumulus, Medium Range Forecast Model (MRF) for Planetary Boundary Layer (PBL), WRF Single Moment 3-class simple ice scheme (WSM3) for Microphysics (MP), Unified Noah land-Surface Model (UNLS) for Land surface model (LSM), Dudhia (MM5) for Short Wave Radiation (SWR) and Rapid Radiative Transfer Model (RRTM) for Long Wave Radiation (LWR) were found the best among available physics option. en_US
dc.description.statementofresponsibility Samir Kumar Debnath
dc.format.extent 115 pages
dc.language.iso en_US en_US
dc.publisher Khulna University of Engineering & Technology (KUET), Khulna, Bangladesh en_US
dc.rights Khulna University of Engineering & Technology (KUET) thesis/dissertation/internship reports are protected by copyright. They may be viewed from this source for any purpose, but reproduction or distribution in any format is prohibited without written permission.
dc.subject Weather Research and Forecasting (WRF) Model en_US
dc.subject Tropical Cyclone Mahasen en_US
dc.title Sensitivity of Tropical Cyclone Mahasen to Physical Parameterization Schemes using Weather Research & Forecasting (WRF) model en_US
dc.type Thesis en_US
dc.description.degree Master of Philosophy in Physics
dc.contributor.department Department of Physics


Files in this item

This item appears in the following Collection(s)

Show simple item record

Search KUET IR


Browse

My Account

Statistics