Optimization Of Rainfall Correlation to Air Pressure, Wind Speed, and Air Humidity Of 2021 Seroja Cyclone Case Based on GPM-IMERG Data

Tropical storms are natural phenomena in the form of large cyclones with strong winds and heavy rainfall. The research aims to determine the influence of independent variables (air humidity, air pressure, and wind speed) on the dependent variable (rainfall). The research area is in Kupang City, West Nusa Tenggara, Indonesia. The rainfall data used is GPM-IMERG satellite data when tropical storm Cyclone Seroja occurred. The humidity, wind speed, and air pressure data used the European Centre for Medium-Range Weather Forecast (ECMWF) Reanalysis 5th Generation (ERA5) and GPM-IMERG data. Data processing used SPSS software to determine the percentage of the influence of the independent variable on the dependent variable. The results showed 85.3% of the influence of air humidity, 64.6% of the influence of air pressure, and 64.3% of the impact of wind speed on GPM-IMERG data-based rainfall. The factors of air humidity, air pressure, and wind speed contributed significantly to the occurrence of the Seroja cyclone. Keywords: optimization, rainfall, air humidity, air pressure, wind speed, GPM-IMERG