Ronny Berndtsson
Professor, Dep Director, MECW Dep Scientific Coordinator
Prediction of summer precipitation in the source region of the Yellow River using sea surface temperature
Author
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.
Department/s
- Division of Water Resources Engineering
- MECW: The Middle East in the Contemporary World
- Centre for Advanced Middle Eastern Studies (CMES)
Publishing year
2013-12-13
Language
English
Document type
Conference paper: abstract
Topic
- 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
Status
Published