ML4WX

Post-processing & calibration

Quantitative Precipitation Forecast Experiment Based on Basic NWP Variables Using Deep Learning

Kanghui Zhou, Jisong Sun, Yongguang Zheng, Yutao Zhang

Advances in Atmospheric Sciences · · China Meteorological Administration (CMA)

Paper

In one sentence. Deep learning model forecasts quantitative precipitation from basic NWP variables; no abstract available, so the method and gains are unverified.

Labels

Topic
Post-processing & calibration, Global medium-range NWP
Type
New model or method
Method
CNN / U-Net
Time scale
6 h–3 days
Domain
Regional
Data
NWP analysis or forecasts (IFS, GFS, ...)
Status
Research
Identifiers
DOI:10.1007/s00376-021-1207-7 OpenAlex:W4224235642
Added
2026-10-22

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