Update README.md

README.md

@@ -137,25 +137,19 @@ This section defines the preprocessing steps undertaken to homogenize these data
 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.
-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:
-   
-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:
-   
-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.
-The interpolation transformed the CERRA dataset to match the regular grid structure of the ERA5 dataset, keeping its initial spatial resolution of 0.05º (5.5 km).
+1. Unit Standardization: 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: 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: 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.
+  The interpolation transformed the CERRA dataset to match the regular grid structure of the ERA5 dataset, keeping its initial spatial resolution of 0.05º (5.5 km).
 
 ### Speeds, Sizes, Times