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  • Long-Term Changes, Synoptic Behaviors, and Future Projections of Large-Scale Anomalous Precipitation Events in China Detected by a Deep Learning Autoencoder
  • Long-Term Changes, Synoptic Behaviors, and Future Projections of Large-Scale Anomalous Precipitation Events in China Detected by a Deep Learning Autoencoder
  • 基于 Autoencoder 深度学习的中国地区大尺度异常降水的历史变化、环流背景及未来预测

Effects of large-scale climate anomalies on crop reference evapotranspiration in the main grain-production area of China

Mar 1, 2019·
Bingjun Liu
,
Zeqin Huang
,
Xiuhong Chen
,
Zhaoli Wang
· 0 min read
URL DOI
Last updated on Mar 1, 2019
← Duration–severity–area characteristics of drought events in eastern China determined using a three-dimensional clustering method Jan 1, 2021
Characteristics and circulation background of extreme precipitation over East China Jan 1, 2019 →

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