Streamflow Prediction

This model is originated from an automated streamflow prediction system to map the runoff generated from large-scale grid-based land surface models (LSMs) onto high-resolution vector-based stream networks, then route the results using the Routing Application for Parallel computatIon Discharge (RAPID), a vector-based river routing model called RAPID, and provide streamflow forecast at river level.

StreamflowPrediction
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Contributor(s)

Initial contribute: 2020-05-17

Authorship

Affiliation:  
Civil and Environmental Engineering, Brigham Young University
Email:  
dan.ames@byu.edu
Homepage:  
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Affiliation:  
Civil and Environmental Engineering, Brigham Young University
Email:  
jimn@byu.edu
Homepage:  
View
Affiliation:  
Civil and Environmental Engineering, Brigham Young University
Email:  
xhqiao89@gmail.com
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Classification(s)

Application-focused categoriesNatural-perspectiveLand regions

How to Cite

Daniel P. Ames, E. James Nelson, Xiaohui Qiao (2020). Streamflow Prediction, Model Item, OpenGMS, https://geomodeling.njnu.edu.cn/modelItem/ce37cd1e-b57c-4b10-ba5b-eaccabb937f0
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Contributor

Initial contribute: 2020-05-17

Co-contributor(s)

Authorship

Affiliation:  
Civil and Environmental Engineering, Brigham Young University
Email:  
dan.ames@byu.edu
Homepage:  
View
Affiliation:  
Civil and Environmental Engineering, Brigham Young University
Email:  
jimn@byu.edu
Homepage:  
View
Affiliation:  
Civil and Environmental Engineering, Brigham Young University
Email:  
xhqiao89@gmail.com
Is authorship not correct? Feedback

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