caa a22 4500 445800445 CHVBK 20180317145139.0 cr unu---uuuuu 170323e20111101xx s 000 0 eng 10.1007/s00704-011-0488-7 doi (NATIONALLICENCE)springer-10.1007/s00704-011-0488-7 Estimating net radiation at surface using artificial neural networks: a new approach [Elektronische Daten] [Antonio Ferreira, Emilio Soria-Olivas, Antonio López, Ernesto Lopez-Baeza] This study describes the results of artificial neural network (ANN) models to estimate net radiation (R n), at surface. Three ANN models were developed based on meteorological data such as wind velocity and direction, surface and air temperature, relative humidity, and soil moisture and temperature. A comparison has been made between the R n estimates provided by the neural models and two linear models (LM) that need solar incoming shortwave radiation measurements as input parameter. Both ANN and LM results were tested against in situ measured R n. For the LM ones, the estimations showed a root mean square error (RMSE) between 34.10 and 39.48W m−2 and correlation coefficient (R 2) between 0.96 and 0.97 considering both the developing and the testing phases of calculations. The estimates obtained by the ANN models showed RMSEs between 6.54 and 48.75W m−2 and R 2 between 0.92 and 0.98 considering both the training and the testing phases. The ANN estimates are shown to be similar or even better, in some cases, than those given by the LMs. According to the authors' knowledge, the use of ANNs to estimate R n has not been discussed earlier, and based on the results obtained, it represents a formidable potential tool for R n prediction using commonly measured meteorological parameters. Springer-Verlag, 2011 Ferreira Antonio Department of Physics of the Earth and Thermodynamics, Faculty of Physics, University of Valencia, Calle Dr Moliner 50, 46100, Burjassot, Valencia, Spain aut Soria-Olivas Emilio Department of Electronic Engineering, ETSE, University of Valencia, Calle Dr Moliner 50, 46100, Burjassot, Valencia, Spain aut López Antonio Department of Electronic Engineering, ETSE, University of Valencia, Calle Dr Moliner 50, 46100, Burjassot, Valencia, Spain aut Lopez-Baeza Ernesto Department of Physics of the Earth and Thermodynamics, Faculty of Physics, University of Valencia, Calle Dr Moliner 50, 46100, Burjassot, Valencia, Spain aut Theoretical and Applied Climatology Springer Vienna 106/1-2(2011-11-01), 263-279 0177-798X 106:1-2<263 2011 106 704 https://doi.org/10.1007/s00704-011-0488-7 text/html Onlinezugriff via DOI 1 research-article jats NATIONALLICENCE 856 40 https://doi.org/10.1007/s00704-011-0488-7 text/html Onlinezugriff via DOI NATIONALLICENCE 700 1- Ferreira Antonio Department of Physics of the Earth and Thermodynamics, Faculty of Physics, University of Valencia, Calle Dr Moliner 50, 46100, Burjassot, Valencia, Spain aut NATIONALLICENCE 700 1- Soria-Olivas Emilio Department of Electronic Engineering, ETSE, University of Valencia, Calle Dr Moliner 50, 46100, Burjassot, Valencia, Spain aut NATIONALLICENCE 700 1- López Antonio Department of Electronic Engineering, ETSE, University of Valencia, Calle Dr Moliner 50, 46100, Burjassot, Valencia, Spain aut NATIONALLICENCE 700 1- Lopez-Baeza Ernesto Department of Physics of the Earth and Thermodynamics, Faculty of Physics, University of Valencia, Calle Dr Moliner 50, 46100, Burjassot, Valencia, Spain aut NATIONALLICENCE 773 0- Theoretical and Applied Climatology Springer Vienna 106/1-2(2011-11-01), 263-279 0177-798X 106:1-2<263 2011 106 704 Metadata rights reserved Springer special CC-BY-NC licence nationallicence BK010053 XK010053 XK010000 NATIONALLICENCE NATIONALLICENCE NL-springer