Articles | Volume 374
Proc. IAHS, 374, 175–185, 2016
https://doi.org/10.5194/piahs-374-175-2016
Proc. IAHS, 374, 175–185, 2016
https://doi.org/10.5194/piahs-374-175-2016
 
17 Oct 2016
17 Oct 2016

Development of an integrated method for long-term water quality prediction using seasonal climate forecast

Jaepil Cho et al.

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Revised manuscript not accepted
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Cited articles

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Hamlet, A. F. and Lettenmaier, D. P.: Columbia river streamflow forecasting based on ENSO and PDO climate signals, J. Water Resour. Plann. Manage., 125, 333–341, 1999.
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Short summary
An integrated approach for water quality prediction was presented. Four different downscaling methods, in accordance with the degree of utilizing the seasonal climate prediction information, were developed in order to improve predictability and to refine the spatial scale. Then, a sampling-based temporal downscaling was conducted in order to create daily weather inputs to the SWAT model. Finally, modeling-based predictability was evaluated by using 3-month lead prediction data using SWAT.