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Develop a statistical framework for region-specific trapezoidal membership functions for hydrometeor classification.

Region-specific design of trapezoidal membership functions for fuzzy hydrometeor classification: a statistical approach using ρHV-stratified ZH, , ZDR and KDP from C-band DWR data

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Develop a statistical framework for region-specific trapezoidal membership functions for hydrometeor classification.
Utilized dual-polarization C-band Doppler Weather Radar data
Applied quality control to remove noise
Stratified radar data into intervals based on cross-correlation coefficient
Constructed membership functions from probability density functions
Classified radar gates into six hydrometeor types
Visualized results using PPI plots and TMF matrix diagrams
Enhanced Quantitative Precipitation Estimation capabilities

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Statistical approach improves hydrometeor classification using fuzzy logic, indicating enhanced precipitation estimation accuracy.

Sahoo et al. (2026) studied this question.

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