Update README.md

README.md

@@ -142,17 +142,20 @@ The steps include unit standardization, coordinate system rectification, and gri
 The rationale and methodologies employed in each step are discussed comprehensively, setting a robust foundation for the subsequent training procedure.
 
 1. Unit Standardization:
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 A preliminary step in the preprocessing pipeline involved the standardization of units across both datasets.
 This was imperative to ensure a uniform unit system, facilitating a seamless integration of the datasets in later stages.
 The units in both datasets were scrutinized and amended to adhere to a common unit system, thereby eliminating any discrepancies that could hinder the analysis.
 
 2. Coordinate System Rectification:
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 The coordinate system of the datasets was rectified to ensure a coherent representation of geographical information. 
 Specifically, the coordinates and dimensions were renamed to a standardized format with longitude (lon) and latitude (lat) as designated names. 
 The longitude values were adjusted to range from -180 to 180 instead of the initial 0 to 360 range, while latitude values were ordered in ascending order, 
 thereby aligning with conventional geographical coordinate systems.
 
 3. Grid Interpolation:
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 The ERA5 dataset is structured on a regular grid with a spatial resolution of 0.25º, whereas the CERRA dataset inhabits a curvilinear grid with a Lambert Conformal
 projection of higher spatial resolution (0.05º). To overcome this disparity, a grid interpolation procedure was initiated.
 This step was crucial to align the datasets onto a common regular grid (with different spatial resolution), thereby ensuring consistency in spatial representation.