Effect of Atmospheric Forcing Data on the Large-Scale Streamflow Simulations

Hydrologic science requires the integration of spatiotemporal data into an atmospheric model linked with a land surface model and a river model for extreme events modeling and long lead time forecasting. River routing creates the possibility to study the effects of climate change and land use/land cover change on streamflow and coastal waters. The aim of this study is to understand the impacts of forcing data and routing procedures on the streamflow simulations by testing different scenarios to produce runoff. Runoff data for two land surface models (LSMs): JULES and Noah were obtained from 01/01/2001 to 12/31/2011 with the 1x1 km resolution. The Routing Application for Parallel computatIonal Discharge (RAPID) was used to simulate streamflow. The LSMs were run on two different configurations: global (gl6) and regional (ukv) configurations. Results showed that RAPID clearly fixes the high-frequency amplitude attenuation. Using NOAH runoff data, the RAPID model represent better results at seasonal timescales compare to the JULES model.