WRF model - sensitivity experiments to computational environment changes

Numerical weather prediction models are a fundamental tool for the prediction of severe hydrometeorological events that, as is known, they produce negative socioeconomic impacts. Moreover, its application has expanded to several branches of science and technology. Currently it is possible to find a great variety of numerical weather prediction models, one of these models is the Weather Research and Forecasting Model (WRF). One of the benefits of this model is that it allows its execution from personal computers to high performance systems (HPC). It also allows you to choose a wide range of parametrizations to represent the physics of the model. The model is sensitive in its final results to changes in parametrizations as many authors have shown. In this work was executed the WRF model, at 4km of horizontal resolution, in order to detect and quantify possible changes in the forecasts due to different computational environments, always executing the same test case. The differences found for the same simulation were compared with the differences produced by a change in a parametrization. The results show the existence of differences between the forecasts calculated in the different platforms, which in some cases can be comparable with those generated by a change in a parametrization.