ML4WX

Observations & remote sensing

Polarimetric Radar Quantitative Precipitation Estimation Using Deep Convolutional Neural Networks

Wenyuan Li, Haonan Chen, Lei Han

IEEE Transactions on Geoscience and Remote Sensing · · Colorado State University (incl. CIRA)

Paper

In one sentence. Deep CNNs with dense blocks estimate hourly rainfall from polarimetric WSR-88D radar, reaching MAE 1.58 mm and beating traditional Z-R relations.

Labels

Topic
Observations & remote sensing
Type
New model or method
Method
CNN / U-Net
Domain
Regional
Data
Radar, Station / in-situ
Status
Research
Identifiers
DOI:10.1109/tgrs.2023.3280799 OpenAlex:W4378697256
Added
2026-10-22

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