3.2.2. High-Resolution Weighted Precipitation

To predict the weighted precipitation at 0.05◦ resolution by EDBF algorithm, the same process was adopted as done for the low resolutions. In contrast to predict the low-resolution weighted precipitation, here, the number of iterations was reduced and set to 1000. Figure 6 shows the iteration wise statistics, wherein Figure 6a,b, respectively, show the iteration wise weight values for each precipitation variable and *r* values. In both figures, the initial discrepancies were observed before the stabilization of convergence onward 600 iterations. On top of that, during the prediction of weighted precipitation, the higher weighted response (Figure 6a,d) was shown by the dry year (2001), the average spring and the average autumn precipitation, respectively. The true picture of weight given to each precipitation variable based on *r* value was cleared from Figure 6c, wherein it can clearly be observed that the highest weighted response was given to the dry year (2001) (*wDr* = 0.507) followed by the average spring (*wSp* = 0.220), the average autumn (*wAu* = 0.151), the average monthly (*wM* = 0.050), the average summer (*wSu* = 0.046), the average winter (*wW* = 0.015), the wet year (2004) (*wWt* = 0.005) and the average annual (2001–2015) precipitation (*wAn* = 0.002), respectively. Moreover, the comparison between weight and *r* values are shown in Figure 6d, wherein it showed that the weighted *r* value predicted by EDBF algorithm is higher as compared to the calculated *r* value for each precipitation variable, which reflected that the weighted precipitation showed more consistency as compared to individual precipitation variable. Finally, the relationship between the weighted precipitation predicted by EDBF algorithm and latitude (Figure 6e) was shown through scatter plot, and the achieved R<sup>2</sup> was observed 0.7696.

**Figure 6.** Execution of EBDF algorithm for predicting the high-resolution weighted precipitation at 0.05◦ resolution: (**a**) iteratively estimated weight values; (**b**) iteratively estimated *r* values; (**c**) the estimated final weight values; (**d**) the comparison between the estimated weights and r values; and (**e**) the relationship between the weighted precipitation and latitude, respectively.
