Update README.md

README.md

@@ -137,9 +137,9 @@ The data samples used for training corresponds to the period from 1985 and 2013
 ### Preprocessing
 
 The preprocessing of climate datasets ERA5 and CERRA, extracted from the Climate Data Store (CDS), is a critical step before their utilization in training models. 
-This paper delineates the series of preprocessing steps undertaken to homogenize these datasets into a common format conducive for the ensuing experiment. The steps 
-include unit standardization, coordinate system rectification, and grid interpolation. The rationale and methodologies employed in each step are discussed comprehensively,
-setting a robust foundation for the subsequent training procedure.
+This section defines the preprocessing steps undertaken to homogenize these datasets into a common format. 
+The steps include unit standardization, coordinate system rectification, and grid interpolation. 
+The rationale and methodologies employed in each step are discussed comprehensively, setting a robust foundation for the subsequent training procedure.
 
 1. Unit Standardization:
 A preliminary step in the preprocessing pipeline involved the standardization of units across both datasets.