Extreme Wind Variability and Wind Map Development in Western Java, Indonesia

Muhammad Rais Abdillah; Prasanti Widyasih Sarli; Hafidz Rizky Firmansyah; Anjar Dimara Sakti; Faiz Rohman Fajary; Robi Muharsyah; Gian Gardian Sudarman

doi:10.1007/s13753-022-00420-7

Volume 13 Issue 3

Jul. 2022

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Article Navigation > International Journal of Disaster Risk Science > 2022 > 13(3): 465-480

Muhammad Rais Abdillah, Prasanti Widyasih Sarli, Hafidz Rizky Firmansyah, Anjar Dimara Sakti, Faiz Rohman Fajary, Robi Muharsyah, Gian Gardian Sudarman. Extreme Wind Variability and Wind Map Development in Western Java, Indonesia[J]. International Journal of Disaster Risk Science, 2022, 13(3): 465-480. doi: 10.1007/s13753-022-00420-7

Citation:

Muhammad Rais Abdillah, Prasanti Widyasih Sarli, Hafidz Rizky Firmansyah, Anjar Dimara Sakti, Faiz Rohman Fajary, Robi Muharsyah, Gian Gardian Sudarman. Extreme Wind Variability and Wind Map Development in Western Java, Indonesia[J]. International Journal of Disaster Risk Science, 2022, 13(3): 465-480. doi: 10.1007/s13753-022-00420-7

Citation:

Muhammad Rais Abdillah, Prasanti Widyasih Sarli, Hafidz Rizky Firmansyah, Anjar Dimara Sakti, Faiz Rohman Fajary, Robi Muharsyah, Gian Gardian Sudarman. Extreme Wind Variability and Wind Map Development in Western Java, Indonesia[J]. International Journal of Disaster Risk Science, 2022, 13(3): 465-480. doi: 10.1007/s13753-022-00420-7

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Extreme Wind Variability and Wind Map Development in Western Java, Indonesia

doi: 10.1007/s13753-022-00420-7

1 Atmospheric Science Research Group, Faculty of Earth Science and Technology, Institut Teknologi Bandung, Bandung, 40132, Indonesia;
2 Structural Engineering Research Group, Faculty of Civil and Environmental Engineering, Institut Teknologi Bandung, Bandung, 40132, Indonesia;
3 Center for Infrastructures and Built Environment, Institut Teknologi Bandung, Bandung, 40132, Indonesia;
4 Civil Engineering Department, Faculty of Civil and Environmental Engineering, Institut Teknologi Bandung, Bandung, 40132, Indonesia;
5 Remote Sensing and Geographic Information Science Research Group, Faculty of Earth Sciences and Technology, Institut Teknologi Bandung, Bandung, 40132, Indonesia;
6 Center for Remote Sensing, Institut Teknologi Bandung, Bandung, 40132, Indonesia;
7 Center for Climate Change and Information, The Agency for Meteorology, Climatology and Geophysics of the Republic of Indonesia (BMKG), Jakarta, 10720, Indonesia;
8 Subdivision for Executive Secretary Administration, The Agency for Meteorology, Climatology and Geophysics of the Republic of Indonesia (BMKG), Jakarta, 10720, Indonesia;
9 Earth Science Department, Faculty of Earth Science and Technology, Institut Teknologi Bandung, Bandung, 40132, Indonesia

Funds:

We thank the two anonymous reviewers and the editor for their constructive comments on the early version of this article. This project was funded by the Institute of Research and Community Service, Institut Teknologi Bandung. We also thank the Java Flood One research project funded by the Newton Fund of the UKRI Natural Environment Research Council (NERC) and the Indonesian Ministry of Education and Culture for providing the additional station data.

Available Online: 2022-07-06

Abstract

Abstract

Wind-related disasters are one of the most frequent disasters in Indonesia. It can cause severe damages of residential construction, especially in the world’s most populated island of Java. Understanding the characteristics of extreme winds is crucial for mitigating the disasters and for defining structural design standards. This study investigated the spatiotemporal variations of extreme winds and pioneered a design wind map in Indonesia by focusing on western Java. Based on gust data observed in recent years from 24 stations, the extreme winds exhibit a clear annual cycle where northwestern and southeastern sides of western Java show out-of-phase relationship due to reversal monsoons. Meanwhile, extreme wind occurrences are mostly affected by small-scale weather systems, regardless of seasons and locations. To build the wind map, we used bias-corrected gust from ERA5 and applied the Gumbel method to predict extreme winds with different return periods. The wind map highlights some drawbacks of the current national design standards, which use single wind speed values regardless of location and return period. Beside a fundamental improvement for wind design, this study will benefit disaster risk mapping and other applications that require extreme wind speed distribution.
- ERA5 reanalysis,
- Extreme wind,
- Mixed weather system,
- Tropical climate

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References(62)

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