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An Approach for Weather Nowcasting from Doppler Weather Radar Images using Thresholding


 

Among the recent technology trends in the domain of Weather Now casting in India, Doppler weather Radars installed at various cities under IMD has proved to be a very significant tool. In IMD, Radars are used for the detection of various severe weather systems like, thunderstorms, hailstorm and tracking of cyclone storms. Images acquired from radar are interpreted for prediction of severe weather useful in the fields of aviation, agriculture, disaster management etc. to prevent the loss of life and property. The radar images have been studied for cloud detection based on the form and shape of clouds or the reflectivity of clouds, but the basic necessity lies in identifying the areas currently affected or tend to be affected by the clouds in near future. An approach has been discussed in this paper where the clouds are automatically detected from images acquired from DWR Patiala and the information about affected districts along with other parameters is transmitted to concerned offices. All this is proposed to be done without any human intervention and in time many folds lesser than the conventional method used by meteorological offices.
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  • An Approach for Weather Nowcasting from Doppler Weather Radar Images using Thresholding

Abstract Views: 171  |  PDF Views: 2

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Abstract


Among the recent technology trends in the domain of Weather Now casting in India, Doppler weather Radars installed at various cities under IMD has proved to be a very significant tool. In IMD, Radars are used for the detection of various severe weather systems like, thunderstorms, hailstorm and tracking of cyclone storms. Images acquired from radar are interpreted for prediction of severe weather useful in the fields of aviation, agriculture, disaster management etc. to prevent the loss of life and property. The radar images have been studied for cloud detection based on the form and shape of clouds or the reflectivity of clouds, but the basic necessity lies in identifying the areas currently affected or tend to be affected by the clouds in near future. An approach has been discussed in this paper where the clouds are automatically detected from images acquired from DWR Patiala and the information about affected districts along with other parameters is transmitted to concerned offices. All this is proposed to be done without any human intervention and in time many folds lesser than the conventional method used by meteorological offices.