Fitted Parameters of Power Transformation for rainfall in Brazil

<h1>Power Transformation: Correcting bias in MIROC6 rainfall</h1> <p>The Climate System Monitoring and Modeling Laboratory (LAMMOC), part of Fluminense Federal University (UFF) has tried forecasting rainfall over Brazil using one of the most known process-based models: MIROC6.</p> <p>Unlike other regions of Earch, MIROC6 resulted in unacceptable bias, leading the team to explore bias correction methods that best suit this specific use case.</p> <p>Power Transformation (PT) was suggested as it was used in different research papers.</p> <p>The first netCDF file (PT_all_grid.nc) hosts parameters of PT after fitting it to rainfall data for the period 1961 - 2014.</p> <p>Those parameters were used to correct MIROC6 forcasted rainfall over the period 2015-2100 for each of the main Shared Socio-economic Pathways (SSP).</p> <p>Both raw and corrected rainfall data can be extracted via ssp_corr_245.nc, ssp_corr_370.nc and ssp_corr_585.nc&nbsp; for each of ssp2-4.5, ssp3-7.0 and ssp5-8.5 respectively.</p> <p>Observed Rainfall data was obtained from https://doi.org/10.1002/joc.7731.</p> <p>Raw MIROC6 data was generated within the LAMMOC lab.</p> <p>The associated GitHub repository hosts a usage guideline as well as relevant information.</p>