RT Journal Article
T1 Bias correction of global irradiance modelled with the Weather Research and Forecasting model over Paraguay
A1 Gonzalez  Cuevas, Juan Alberto
A1 Rincón Rodriguez, Angel
A1 Jorba, Oriol
A1 Frutos, Miguel
A1 Alvarez, Leopoldo
A1 Barrios, Fernando
A2 Universidad Nacional de Asunción - Facultad de Ingeniería
A2 Barcelona Supercomputing Center (BSC-CNS) (ES)
A2 Harmattan Solutions  (ES)
AB " In this contribution, we present a post-process analysis of the Weather Research and Forecasting (WRF) model which combines a Kalman Filter with Model Output Statistics for bias correction in order to improve the overall predicted values of GHI simulations over Paraguay. The hourly GHI is simulated at 4x4 km2 of spatial resolution. The annual evaluation of the hourly WRF model without post process shows relative mean bias error (rMBE) of 21% and  relative root mean square error (rRMSE) of 81%. The results using several ground stations and combinations of post-process show an annual correction of systematic errors with rMBE of -0.7% and rRMSE of 70%."
YR 2016
FD 2016
LK http://hdl.handle.net/20.500.14066/3197
UL http://hdl.handle.net/20.500.14066/3197
LA eng
NO CONACYT - Consejo Nacional de Ciencias y Tecnología
DS MINDS@UW
RD 03-jul-2024