RT info:eu-repo/semantics/conferencePaper
T1 Bias correction of global irradiance modelled with the Weather Research and Forecasting model over Paraguay
A1 Rincón Rodríguez, Ángel Alberto
A1 Jorba, Oriol
A1 Frutos, Miguel
A1 Álvarez, Leopoldo
A1 Barrios Pedretti, Fernando Pío
A1 González Cuevas, Juan Alberto
A2 Universidad Nacional de Asunción. Facultad de Ingeniería
AB The estimation of solar irradiance is performed by means of numerical weather prediction models that include all the necessary information to solve the temporal, geographical and atmospheric conditions variability being this the basis of solar energy applications. However, the radiative transfer schemes implemented in meteorological models show systematic errors in the simulation of global irradiance (GHI). 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%.
PB International Solar Energy Society
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 Rincón, A., Jorba, O., Frutos, M., Alvarez, L., Barrios, F. P., & González, J. A. (2016, 11-14 de octubre). Bias correction of global irradiance modelled with the Weather Research and Forecasting model over Paraguay [Artículo de la Conferencia]. EuroSun 2016: International Conference on Solar Energy and Buildings, Palma de Mallorca, España.
NO Consejo Nacional de Ciencia y Tecnología
DS MINDS@UW
RD 03-sep-2026