2016Unpublished venueRequires access

An approach for extracting big micro-scale severe weather region trajectories automatically from meteorological radar data

Xingang Wang, Zhigang Gai, Suiping Qi

Open publisher page 2 citations

Abstract

We present a scheme to extract large micro-scale severe weather region trajectories from meteorological radar data. Moving regions representing micro-scale severe weather are extracted from radar data and form into large trajectories automatically, which shows the moving and changing of severe weather, and can be a base for prediction of micro-scale severe weather.

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What this paper is about

We present a scheme to extract large micro-scale severe weather region trajectories from meteorological radar data. Moving regions representing micro-scale severe weather are extracted from radar data and form into large trajectories automatically, which shows the moving and changing of severe weather, and can be a base for prediction of micro-scale severe weather.

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OpenAlex reports 2 citations for this work. Citation counts describe recorded attention and do not establish research quality.

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Available abstract

We present a scheme to extract large micro-scale severe weather region trajectories from meteorological radar data. Moving regions representing micro-scale severe weather are extracted from radar data and form into large trajectories automatically, which shows the moving and changing of severe weather, and can be a base for prediction of micro-scale severe weather.

Key concepts: Weather radar, Radar, Scale (ratio), Weather forecasting, Meteorology, Computer science, Severe weather, Remote sensing

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