Abstract
Meteorological hazard has been frequently occurred in Indonesia due to torrential rains. It is important to examine the characteristics of the atmosphere during rainy seasons for hazard mitigation. National Laboratory of Weather Modification Technology has conducted a short Intensive Observation Program (IOP) from January 18th to February 16th, 2016 to collect meteorological data in the vicinity of Jakarta Region. During that period several instruments have been used, such as Radar, Microwave Profiling Radiometer, Automatic Weather Station, and Radiosonde. This paper examines the comparison of atmospheric parameters obtained from Radiosonde and Profiling Radiometer during extreme weather days. The results showed that there were significant differences of instability indices of Radiosonde and Profiling Radiometer data: 15 points for KI, 6 points for TT and 100 points for SWEAT. The atmospheric stability indices of the Profiling Radiometer tended to be lower than Radiosonde. A radar image showing a rainstorm as well as rain rate information validates atmospheric index stability data. Radar and atmospheric instability indices data integration can be used as one of the parameters to forecast extreme weather events and as an early warning system of hazard mitigation.
Highlights
Meteorological hazard has been frequently occurred in Indonesia due to torrential rains
The data used for this research is from Radiosonde, Profiling Radiometer, Automatic Weather Station, and Radar from Intensive Observation Program (IOP) activity on January 28th – 31st, 2016
Looking at the rainfall data attached to table 1, the rainfall that occurred on January 28 and 31 can be categorized into a moderate rain
Summary
Meteorological hazard has been frequently occurred in Indonesia due to torrential rains. During that period several instruments namely weather radar, Microwave Profiling Radiometer, Automatic Weather Station (AWS), and Radiosonde have been used to collect critical meteorological data. This paper will discuss the comparison of atmospheric parameters obtained from Radiosonde, Profiling Radiometer, and Radar during extreme weather days. Further Renggono [2] conducted research using Radar data on IOP for cloud movement and development. We want to refine the previous study by comparing the instability indices produced by Radiosonde and Profiling Radiometer. The sounding data was verified with radar to define the instability indices of the Radiosonde and Profiling Radiometer. These indices can improve the prediction of the extreme weather
Talk to us
Join us for a 30 min session where you can share your feedback and ask us any queries you have