Evaluation of GPM DPR rain parameters with north Taiwan disdrometers

In this study, Global Precipitation Measurement (GPM) mission Dual-Frequency Precipitation Radar’s (DPR’s) precipitation estimates are validated with long-term (2014-2022) measurements of seven Joss–Waldvogel disdrometers installed in north Taiwan. The results show that the GPM DPR shown greater performance when predicting the rain parameters in stratiform precipitation as opposed to convective precipitation. Furthermore, regardless of single and dual-frequency algorithm, the mass-weighted mean diameter had better agreement than the normalized intercept parameter.

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Published
2025-01-10
DOI
https://doi.org/10.1117/12.3040932
Citations
1
Primary Topic
Geophysics and Gravity Measurements
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article
Field-Weighted Citation Impact
1.79
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Evaluation of GPM DPR rain parameters with north Taiwan disdrometers

Pay‐Liam Lin, Jayalakshmi Janapati, Chen-Hau Lan, Balaji Kumar Seela et al.
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article

Evaluation of GPM DPR rain parameters with north Taiwan disdrometers

Pay‐Liam Lin, Jayalakshmi Janapati, Chen-Hau Lan, Balaji Kumar Seela, Mu‐Qun Huang
article en
1 citations

Abstract

In this study, Global Precipitation Measurement (GPM) mission Dual-Frequency Precipitation Radar’s (DPR’s) precipitation estimates are validated with long-term (2014-2022) measurements of seven Joss–Waldvogel disdrometers installed in north Taiwan. The results show that the GPM DPR shown greater performance when predicting the rain parameters in stratiform precipitation as opposed to convective precipitation. Furthermore, regardless of single and dual-frequency algorithm, the mass-weighted mean diameter had better agreement than the normalized intercept parameter.

National Central University (TW)
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Openalex Percentile: Top 21%
Geophysics and Gravity Measurements
1.79
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