Investigates rainfall microphysics and intensity, suggesting satellite retrievals need improvement.
We investigate the relationships among the mass-weighted mean diameter ( \:D_m ), normalized intercept parameter ( \:N_w ), and rainfall rate ( R ) using five disdrometers and GPM Dual-frequency Precipitation Radar (DPR) observations over the northeastern Indian subcontinent. By extending the conventional \:D_m – \:N_w framework to include rainfall rate, we directly link rainfall microphysics to rainfall intensity. Rainfall with 1.5 ≤ \:D_m < 2.5 mm exhibits a bimodal structure in the \:D_m – R – \:N_w relationship, consisting of Type A rainfall ( \:N_w ≥ 36 dB) with high rainfall rates and Type B rainfall ( \:N_w < 36 dB) with lower rainfall rates. Type A rainfall is more frequent during the monsoon season and over orographic regions. The DPR product shows limited variability in \:N_w and rarely reproduces high- \:N_w rainfall, leading to systematic underestimation of rainfall intensity. These results highlight the importance of representing \:N_w variability for improving satellite-borne precipitation radar retrievals.
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Murata et al. (2026) studied this question.
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