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Effect of Differently Interpolated Geographical Data on WRF-ARW Forecast

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dc.contributor.advisor Hossain, Prof. Dr. Mohammad Arif
dc.contributor.author Rahman, Md. Shahifur
dc.date.accessioned 2018-05-20T10:48:34Z
dc.date.available 2018-05-20T10:48:34Z
dc.date.copyright 2017
dc.date.issued 2017-04
dc.identifier.other ID 1351555
dc.identifier.uri http://hdl.handle.net/20.500.12228/133
dc.description This thesis is submitted to the Department of Mathematics, Khulna University of Engineering & Technology in partial fulfillment of the requirements for the degree of Master of Philosophy in Mathematics, April 2017. en_US
dc.description Cataloged from PDF Version of Thesis.
dc.description Includes bibliographical references (pages 66-67).
dc.description.abstract With the advancement of computing power now a days Numerical Weather Forecasting (NWP) has emerged as an important tool and is playing its role for short to medium even for long range weather forecasting. Like other models theWeather Research and Forecasting (WRF) model has three components, i) Pre-processing, ii) Model running and iii) Post-processing. At the preprocessing stage one has to decide/declare the date and time, the region of interest, grid spacing (in case of nested run parent-child ratio), map projection etc. In this stage the geographical data is placed to defined grids and blended with the meteorological data. In numerical calculation/prediction the final output depends on the input. Thus it is assumed that the output has dependencies on the input values assigned at the grids. The value at the grids are depending on the interpolation technique. In this thesis we have compared the results of different predicted parameters (temperature, sea level pressure (SLP), relative humidity, cumulus accumulated precipitation and wind speed) of different events (rainfall, temperature and cyclone) calculated on the basis of different interpolation techniques. For the purpose default results are compared with the results obtained by using 4-point, 16-point and nearest neighborhood interpolation techniques. For the comparison purpose graphical/visual difference is considered. After completion of the model running GrADS(Grid Analysis and Display System) has been used for the graphing purpose. It has been found that except SLP the results of different interpolation schemes have similar pattern though the shape of the patterns are different in size. But in the case of SLP there are tremendous difference in result with respect to change of interpolation scheme. en_US
dc.description.statementofresponsibility Md. Shahifur Rahman
dc.format.extent 67 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 Interpolated en_US
dc.subject Geographical Data en_US
dc.subject WRF-ARW Forecast en_US
dc.title Effect of Differently Interpolated Geographical Data on WRF-ARW Forecast en_US
dc.type Thesis en_US
dc.description.degree Master of Philosophy in Mathematics
dc.contributor.department Department of Mathematics


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