Data for publication of "Determining the sensitive parameters of WRF model for the prediction of tropical cyclones in the Bay of Bengal using Global Sensitivity Analysis and Machine Learning"

The data are made available as part of the paper "Determining the sensitive parameters of WRF model for the prediction of tropical cyclones in the Bay of Bengal using Global Sensitivity Analysis and Machine Learning", submitted to Geoscientific Model Development. This data set incorporates selected post-processed files needed to reproduce the results presented in the paper.

The data contains six zip files, that are:

• Namelist.input files for the WRF model simulations of ten tropical cyclones
• WRF model simulation outputs using the default parameter values
• WRF model simulation outputs using the optimal parameter values (which give minimum RMSE value)
• IMDAA surface observations and IMERG precipitation data
• IMD observed tracks of ten tropical cyclones
• Ipython notebooks of sensitivity analysis and machine learning codes

The remaining files are the ncl scripts that were used to obtain the figures. The ncl scripts used the data in the zip files.