TY - GEN
T1 - Review of low-level wind shear
T2 - 3rd International Seminar of Science and Technology 2021: The Path of Sustainable Development for a Better Life, ISST 2021
AU - Ryan, Muhammad
AU - Saputro, Adhi Harmoko
AU - Sopaheluwakan, Ardhasena
N1 - Funding Information:
We would like to thank the Faculty of Mathematics and Natural Science, University of Indonesia for funding this research.
Publisher Copyright:
© 2023 Author(s).
PY - 2023/5/2
Y1 - 2023/5/2
N2 - This article summarizes the recent research related to Low-Level Wind Shear (LLWS), especially on detection and prediction. Wind Shear, especially LLWS, is one of the factors causing aircraft accidents due to weather. LLWS can occur naturally in nature without a cause or caused by various factors. To preventing adverse effects of LLWS, several instruments have been developed to detect the phenomenon. Those are Low-level Wind Shear Alert System (LLWAS), Sound Wave Detection and Ranging (SODAR), Doppler Radar, Terminal Doppler Weather Radar (TDWR), and Light Detection and Ranging (LIDAR). These instruments have various advantages and disadvantages. To consider those advantages and disadvantages, the installation of the equipment at the airport must consider the condition of the runway and the characteristics of the weather on the site. The next step further than detecting is predicting. By predicting the LLWS event, pilots of the aircraft can know the potential location of LLWS and avoid that location. In general, the approach used to predict LLWS is a numerical model and a Machine Learning (ML) model. They have their pros and cons too.
AB - This article summarizes the recent research related to Low-Level Wind Shear (LLWS), especially on detection and prediction. Wind Shear, especially LLWS, is one of the factors causing aircraft accidents due to weather. LLWS can occur naturally in nature without a cause or caused by various factors. To preventing adverse effects of LLWS, several instruments have been developed to detect the phenomenon. Those are Low-level Wind Shear Alert System (LLWAS), Sound Wave Detection and Ranging (SODAR), Doppler Radar, Terminal Doppler Weather Radar (TDWR), and Light Detection and Ranging (LIDAR). These instruments have various advantages and disadvantages. To consider those advantages and disadvantages, the installation of the equipment at the airport must consider the condition of the runway and the characteristics of the weather on the site. The next step further than detecting is predicting. By predicting the LLWS event, pilots of the aircraft can know the potential location of LLWS and avoid that location. In general, the approach used to predict LLWS is a numerical model and a Machine Learning (ML) model. They have their pros and cons too.
UR - http://www.scopus.com/inward/record.url?scp=85160067621&partnerID=8YFLogxK
U2 - 10.1063/5.0133460
DO - 10.1063/5.0133460
M3 - Conference contribution
AN - SCOPUS:85160067621
T3 - AIP Conference Proceedings
BT - 3rd International Seminar of Science and Technology 2021
A2 - Sesa, Elisa
A2 - Darwis, Darmawati
A2 - Satrimafitrah, Pasjan
A2 - Sabhan, null
PB - American Institute of Physics Inc.
Y2 - 8 September 2021 through 9 September 2021
ER -