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Profile photo of Ronny Berndtsson

Ronny Berndtsson

Professor, Dep Director, MECW Dep Scientific Coordinator

Profile photo of Ronny Berndtsson

Prediction of summer precipitation in the source region of the Yellow River using sea surface temperature


  • Feifei Yuan
  • Ronny Berndtsson
  • Linus Tielin Zhang
  • Hiroshi Yasuda

Summary, in English

The source region of the Yellow River contributes about 35% of the total water yield in the Yellow River basin playing an important role in meeting downstream water resources requirements. Thus, it is important to accurately predict the summer precipitation to get better estimation of streamflow for the Yellow River. In this study, the close links between summer precipitation in the source region of the Yellow River and sea surface temperature (SST) in the Pacific Ocean were established for further prediction. Results show that there is a strong lagged significant correlation between SST and summer precipitation. An artificial neural network (ANN) model was used to predict summer precipitation using this correlation with high accuracy. This indicates that major annual precipitation (during summer season) can be predicted using the suggested approach,and it is an essential part of the development of optimal reservoir planning and operation policies for power generation, water supply, and flood control for the mid and down-stream areas of the Yellow River.


  • Division of Water Resources Engineering
  • MECW: The Middle East in the Contemporary World
  • Centre for Advanced Middle Eastern Studies (CMES)

Publishing year




Document type

Conference paper: abstract


  • Oceanography, Hydrology, Water Resources

Conference name

American Geophysical Union, Fall Meeting 2013

Conference date

2013-12-09 - 2013-12-13

Conference place

San Fransico, United States