COMPARISON OF WIND DATA OF ERA-INTERIM REANALYSIS AND CFSR WITH THE DATA FROM AUTOMATIC INMET STATIONS IN RIO GRANDE DO SUL

Wind power is currently one of the sources of electricity the fastest growing worldwide. However, especially in Brazil, it is still very difficult to locate areas with reliable winds for the implementation of a wind farm, because there is not enough data density that guarante the wind farm efficiency. Thus, the development of models that simulate wind conditions are extremely important for studies and research in this area. In this way, weather reanalysis data can be used as input into high-resolution regional models, for example. Therefore, this work presents a study comparing two sets of weather Reanalysis of wind data - ERA-Interim and CFSR - with measured data from automated weather stations of the National Institute of Meteorology in the Rio Grande do Sul state in order to obtain the coefficient correlation of data from reanalysis with data measured for each measurement point and for every season. For better visualization of the correlation results, it is also built contour maps with correlation coefficient where can be seeing that the best performance of the CFSR reanalysis.