Improving the Accuracy of Rainfall Prediction Using Bias-Corrected NMME Outputs: A Case Study of Surabaya City, Indonesia

This study showed that the NMME performance can be improved significantly after bias correction using the gamma regression method. This can be seen from the smaller RMSE and MAE values, as well as higher R 2 values compared with the results from linear regression and average ratio methods. Gamma regression improved the R 2 value by about 30% higher than raw data, and it is about 20% higher than the linear regression approach. This research showed that NMME can be used to improve the accuracy of rainfall forecast in Surabaya.PMID:35530532 | PMC:PMC9068286 | DOI:10.1155/2022/9779829
Source: The Scientific World Journal - Category: Science Authors: Source Type: research