Abstract
Whirl wind occurrence frequency in Indonesia tends increasing in the last five years. Geospatial data from National Agency for Disaster Management (BNPB) recorded 72 cases with the impact of the two victims died, ten injured, 485 people were evacuated, and 1285 buildings were destroyed at period of January-June 2015. Based on the impact, early warning through remote sensing by using single polarization Doppler weather radar is need to be efforted. Whirl wind detection is done by identifying the characteristic pattern of the rotating convective cloud system by hook echo, analyzing the exsistance of vortex and rotation, and the strength of turbulence. The results show horizontal wind profile with a rotational pattern at CAPPI (V) and HWIND (V) by the altitude of 0.5 km, strong turbulence through product CAPPI (W) 0.5 km ranged of 1.75-2.05 ms-1, the vertical wind profile by product VVP (V) with a maximum value updraft reaches more than 20 knots at a 100-200 meters height, strong horizontal wind shear through HSHEAR (V) and CAPPI (HSHEAR) altitude of 0.5 km with a range of 6.23 to 10.12 ms-1/km. SWI and SSA show that the cloud base height is very low ranged from 200-600 meters with a maximum reflectivity reached 61.5 dBZ by top cloud height reached 14 km, while the product CAPPI (Z) 0.5 km and CMAX (Z) is very difficult to identify patterns hook echo. The results of remote sensing are very representative with the physical properties of whirl wind even whirl wind in a smaller scale.
Highlights
Whirl wind occurrence in Indonesia with increasing frequency for the last five years led to a very significant impact to the environment damage from building collapse till the victim died
Whirl wind detection method by adopting seupercell whirl wind detection techniques on some of the results of the analysis show the characteristic patterns of cloud detected on radar, reflectivity values, and wind patterns at the time the whirl wind occur
Descriptive method is used in this research, consist of data processing, analyzing, and interpret weather radar imagery for determining the pattern cathced from reflectivity, radial velocity, and spectral width product for whirl wind events that occurred in Indonesia
Summary
Whirl wind occurrence in Indonesia with increasing frequency for the last five years led to a very significant impact to the environment damage from building collapse till the victim died. The research from Pryzbylinski at 1995 states that non-supercell whirl windes associated with patterns of Tornado Vortex Signature (TVS) by the radial velocity product and cloud formations patterns which have evolved into a hook or bow echo (Pryzbylinski, 1995). Some remote sensing and identification of whirl wind events in Indonesia have been conducted using BMKG weather radar network by adopting a supercell whirl wind analysis techniques. Analysis conducted by the BMKG Remote Sensing Division on whirl wind occurrences in Kuta, Denpasar dated March 17, 2012 shows a pattern of bow echo on the radar images that are identical to ¬non-supercell whirl wind. The aim of this study is knowing the ability of BMKG weather radar network to perform the remote sensing for the whirlwind of occurrence in Indonesia and analyze the characteristics through products with moments of reflectivity, radial velocity and spectral width.
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