NDLI: Tropical cyclone track and intensity forecasting using remotely-sensed images

Content Provider	IEEE Xplore Digital Library
Author	Buranasing, Arthit Prayote, Akara
Copyright Year	2015
Description	Author affiliation: Department of Computer and Information Science, King Mongkut's University of Technology, North Bangkok (Buranasing, Arthit; Prayote, Akara)
Abstract	A tropical cyclone disaster is one of the most destructive natural hazards on earth and the main cause of death or injury to humans as well as damage or loss of valuable goods or properties, such as buildings, communication systems, agricultural land, etc. To mitigate severe impacts, track and intensity forecasting is a world-widely adopted process. With accurate forecasting, proactive measures can be appropriately applied on time to reduce both human and property losses. However, Thailand has insufficient meteorological data to apply the NWP model. In fact, the forecasting is done manually in Thailand. This makes the forecasting unreliable and time consuming, which leaves not enough time to prepare a good warning bulletin. To address these problems, this paper proposes an integrated short-range tropical cyclone track and intensity forecasting system by using only 11 features which were extracted from satellite images with improvement of the traditional statistical methods. The performance of the model is satisfactory, giving an average of 4.12 degrees of 6 hours, 12 hours and 24 hours track forecasting errors from best track data and the average errors is lower than traditional techniques by 14.16% on Mercator projection map and the average intensity forecasting errors of 6 hours, 12 hours and 24 hours lower than traditional techniques by 25.18%.
Starting Page	626
Ending Page	631
File Size	1232137
Page Count	6
File Format	PDF
e-ISBN	9781467378635
DOI	10.1109/ICITEED.2015.7409022
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2015-10-29
Publisher Place	Thailand
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Tropical cyclone track and intensity forecasting Satellites Tropical cyclones Image processing Predictive models Data models Mathematical model Natural hazards Forecasting Natural disasters Remote sensing Meteorology
Content Type	Text
Resource Type	Article

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1	Ministry of Education (GoI), Department of Higher Education	Sanctioning Authority	https://www.education.gov.in/ict-initiatives
2	Indian Institute of Technology Kharagpur	Host Institute of the Project: The host institute of the project is responsible for providing infrastructure support and hosting the project	https://www.iitkgp.ac.in
3	National Digital Library of India Office, Indian Institute of Technology Kharagpur	The administrative and infrastructural headquarters of the project	Dr. B. Sutradhar bsutra@ndl.gov.in
4	Project PI / Joint PI	Principal Investigator and Joint Principal Investigators of the project	Dr. B. Sutradhar bsutra@ndl.gov.in Prof. Saswat Chakrabarti will be added soon
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