| Issue |
E3S Web Conf.
Volume 650, 2025
The 10th International Conference on Energy, Environment, and Information Systems (ICENIS 2025)
|
|
|---|---|---|
| Article Number | 02051 | |
| Number of page(s) | 9 | |
| Section | Environment | |
| DOI | https://doi.org/10.1051/e3sconf/202565002051 | |
| Published online | 10 October 2025 | |
Impact of Solar Radiation Management on Anomalous Temperature Side Effects of Climate Change in Papua Province, Indonesia
1 School of Postgraduate Studies, Diponegoro University, Semarang, Indonesia
2 Faculty of Forestry, University of Papua, Papua Barat, Indonesia
3 Department of Geophysics and Meteorology, IPB University, Bogor, Indonesia
4 Department of Physics, Sebelas Maret University, Surakarta, Indonesia
5 Disaster Research Centre, Sebelas Maret University, Surakarta, Indonesia
6 Department of Oceanography, Diponegoro University, Semarang, Indonesia
* Corresponding author: rahmatgernowo@lecturer.undip.ac.id
The province of Papua is located in the eastern region of Indonesia. Catastrophic storms and tropical cyclones have increased in frequency in this area in recent years. It is crucial to understand the effects of tropical cyclones, particularly how they affect the contribution of solar radiation management (SRM) to abnormal temperatures during tropical cyclone events in eastern Indonesia. We investigate the effects of SRM on anomalous temperature in areas that are commonly affected using simulations from the Geoengineering Model Intercomparison Project (GeoMIP) and data from the European Centre for Medium-Range Weather Forecasts Re-Analysis 5 (ERA5). This study aims to investigate the impacts of abnormal temperature and propose potential solutions. The tropical storm Surigae, which made landfall on April 18, 2021, had a significant impact on the area, particularly on Timor Island and Sumba Island. We used the ERA5 model to investigate the temperature-related atmospheric dynamics during these tropical cyclone events. Additionally, we evaluated the temperature data and compared the outcomes using GeoMIP's bias correction. The findings indicate a strong correlation between the two datasets and an overall declining trend.
© The Authors, published by EDP Sciences, 2025
This is an Open Access article distributed under the terms of the Creative Commons Attribution License 4.0, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
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