Influence of Land Use Land Cover on Cyclone Track Prediction – A Study During Aila Cyclone
K. V.S. Badarinath1, D. V. Mahalakshmi*, 1, Satyaban Bishoyi Ratna2
Identifiers and Pagination:Year: 2012
First Page: 33
Last Page: 41
Publisher Id: TOASCJ-6-33
Article History:Received Date: 31/10/2011
Revision Received Date: 8/12/2011
Acceptance Date: 15/12/2011
Electronic publication date: 10/2/2012
Collection year: 2012
open-access license: This is an open access article distributed under the terms of the Creative Commons Attribution 4.0 International Public License (CC-BY 4.0), a copy of which is available at: https://creativecommons.org/licenses/by/4.0/legalcode. This license permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.
Land-surface processes are one of the important drivers for weather and climate systems over the tropics. Realistic representation of land surface processes in mesoscale models over the region will help accurate simulation of numerical forecasts. The present study examines the influence of Land Use/ Land Cover Change (LULC) on the forecasting of cyclone intensity and track prediction using Mesoscale Model (MM5). Gridded land use/land cover data set over the Indian region compatible with the MM5 model were generated from Indian Remote Sensing Satellite (IRS-P6) Advanced Wide Field Sensor (AWiFS) for the year 2007-2008. A case study of simulation of ‘Aila’ cyclone has been considered to see the impact of these two sets of LULC data with the use of MM5 model. Results of the study indicated that incorporation of current land use/land cover data sets in mesoscale model provides better forecasting of cyclonic track.