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.

Data sets

APCC Data Service System APCC http://adss.apcc21.org/

Climate Information Service APCC http://www.apcc21.org/ser/indic.do?lang=en

Climate Indices, Monthly Atmospheric and Ocean Time Series ESRL http://www.esrl.noaa.gov/psd/data/climateindices/list/

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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.