Application of orthogonal CNOP-I in a convection-allowing ensemble prediction system based on CMA-MESO for improving extreme precipitation skill
Peer-Reviewed Publication
Updates every hour. Last Updated: 22-Jan-2026 03:13 ET (22-Jan-2026 08:13 GMT/UTC)
Application of orthogonal CNOP-I in a convection-allowing ensemble prediction system based on CMA-MESO for improving extreme precipitation skill
A recent review and outlook paper published in Advances in Atmospheric Science on January 5 presents how scientists can bridge the gap between complex forecast data and real-world decisions to turn raw climate intelligence into life-saving, economy-boosting action.
“By correcting initial cloud fields with real-time satellite data, we essentially gave the forecast system a ‘live cloud map’. This is not only a technical breakthrough but also provides a practical tool for grid scheduling and China’s dual-carbon strategy.”“By correcting initial cloud fields with real-time satellite data, we essentially gave the forecast system a ‘live cloud map’. This is not only a technical breakthrough but also provides a practical tool for grid scheduling and China’s dual-carbon strategy.”