Vol.8 (2018) No. 3 ISSN: 2088-5334 Study of Convective Cloud Lifetime and Movement Using Radar Image and ECMWF Model Mochammad Donny Anggoro # , Bagus Pramujo * # Department of Meteorology, State College of Meteorology Climatology and Geophysics, South Tangerang, 15221, Indonesia E-mail: donny.bmkg@gmail.com * Marine Meteorology Division, Indonesian Agency for Meteorology Climatology and Geophysics, Jakarta, 10610, Indonesia E-mail: baguspramujo@ymail.com Abstract— Clouds as actors in the atmospheric dynamics, it is important to learn especially the convective cloud. Utilization of numerical weather models is expected to interpret weather conditions, particularly to identify lifetime and convective cloud movements with ECMWF Model. Radar data is used to show the characteristic of convective clouds that producing hail and heavy rain with digitization method and life history method. Maximum VIL value of hail case studies in Bogor is 45 kg/m2; maximum reflectivity is 65 dBz reaches a height of 9 km at 08.12 UTC. Three Body Scatter Spike (TBSS) appear as a mark will occur hail process. The growth of convective clouds that producing hail on July 5 2016, in Bogor, occurred for 140 minutes. The cumulus stage takes 33 minutes, the mature stage takes 80 minutes, and the dissipation stage takes 27 minutes. The convective clouds move from southeast-south is caused by regional factors, with speed of 12-18 knots. Relative Humidity (RH) 85-90% is present in layers 840 mbar to 810 mbar. Maximum VIL value of heavy rain case studies is 5 kg/m2, and maximum reflectivity is 58 dBz. The growth of convective clouds that producing heavy rain on February 16 2016 occurred for 220 minutes. The cumulus stage takes 30 minutes, the mature stage takes 150 minutes, and the dissipation stage takes 40 minutes. The convective clouds move from the northwest is caused by regional factors, with speed of 5-10 knots. Relative Humidity (RH) is more than 95% is present in layers 400 mbar to 200 mbar. Keywords— hail; lifetime; movement; digitization. I. INTRODUCTION Information on the time and place of extreme weather events was disseminated to the community to design a weather warning system. Clouds as actors in the atmospheric dynamics, it is vital to learn especially the convective cloud. Cloud patterns visible from space fluctuate due to the formation, decay, and movement due to air acting as fluids [1]. Weather is also a global issue that needs to be addressed as it affects the global disaster potential [2]. Indonesia as a maritime continent in the tropics becomes a formidable challenge for a forecaster. Although Indonesia has only 2 seasons, the precision of weather forecasts is still difficult. Various local factors are the cause. Difficulties in forecasting weather can be minimized if weather assessments are well followed [3]. Extreme weather has an impact on human activities. Heavy rain, heavy rain with high wind, and hail are the example of extreme weather. Their characteristic is unique to be described, especially lifetime and movement. The lifetime of convective cloud in Jakarta was 120 minutes in a rainy season, and 220 minutes in transition season [4]. One attempt to design the system is to examine the lifetime and convective cloud movement. The convective cloud lifecycle period is related to the length of the time span of the event, while convective cloud movements are related to the dissemination of early warning information to the areas to be traversed. Convection conditions of the atmosphere can form convective clouds [5]. Natural disasters can occur if the extreme weather causes damage and losses, so that weather warnings are essential in mitigation efforts [2]. One tool that can be used to identify the lifetime and convective cloud movement is weather radar. Radar is an example of remote sensing to measure objects in the Earth's atmosphere at a distance [6]. The radar capability of scanning for 5-10 minutes provides detailed data processing and image interpretation. The process in the convective cloud can be explained from the growing phase until it decays. The advantages of weather radar compared to other remote sensing observations is the ability of electromagnetic waves emitted by weather radar. It can penetrate into the structure of rain clouds and take a sampling of droplet conditions that exist in the structure of rain clouds and storms so that it can provide a detailed and quick picture of 988