Evaluation of GPM DPR rain parameters with north Taiwan disdrometers

Balaji Kumar Seela; Jayalakshmi Janapati; Pay-Liam Lin; Chen-Hau Lan; Mu-Qun Huang

doi:10.1117/12.3040932

10 January 2025 Evaluation of GPM DPR rain parameters with north Taiwan disdrometers

Balaji Kumar Seela, Jayalakshmi Janapati, Pay-Liam Lin, Chen-Hau Lan, Mu-Qun Huang

Author Affiliations +

Proceedings Volume 13267, Earth Observing Missions and Sensors: Development, Implementation, and Characterization VI; 132670C (2025) https://doi.org/10.1117/12.3040932
Event: Asia-Pacific Remote Sensing, 2024, Kaohsiung, Taiwan

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.

(2025) Published by SPIE. Downloading of the abstract is permitted for personal use only.

Citation Download Citation

Balaji Kumar Seela, Jayalakshmi Janapati, Pay-Liam Lin, Chen-Hau Lan, and Mu-Qun Huang "Evaluation of GPM DPR rain parameters with north Taiwan disdrometers", Proc. SPIE 13267, Earth Observing Missions and Sensors: Development, Implementation, and Characterization VI, 132670C (10 January 2025); https://doi.org/10.1117/12.3040932

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