A nowcasting method based on satellite remote sensing

doi:10.13474/j.cnki.11-2246.2019.0089

Abstract

Abstract: MCS (mesoscale convective system) is the main reason of formation strong convective weather.The main problem of existing tracking and forecasting algorithms is unphysical split and merger of cloud clusters within the life cycle of MCS.To address this problem,FCC (forecasting convective cells) method is proposed.Displacement of the geometrical centroid is utilized to forecast the movement of convective cells in FCC algorithm using FY-2 satellite data.Case studies show that convective cells are forecasted efficiently in different phases of MCS lifecycle including genesis,maturity and dissipation using FCC algorithm.Moreover,contingency tables method applied to various case studies show that proposed algorithm efficiently and accurately.

Key words: mesoscale convective system, convective cell, nowcasting, displacement of the geometrical centroid

CLC Number:

P237

LIU Jia. A nowcasting method based on satellite remote sensing[J]. 测绘通报, 2019, 0(3): 113-115,119.

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