Open Access
| Issue |
BIO Web Conf.
Volume 213, 2026
The 1st Papua International Conference on Biodiversity, Natural Sciences, and Technology (PICoBNST 2025)
|
|
|---|---|---|
| Article Number | 02009 | |
| Number of page(s) | 8 | |
| Section | Chemistry, Physics, Mathematics, Statistics, and their Applications | |
| DOI | https://doi.org/10.1051/bioconf/202621302009 | |
| Published online | 27 January 2026 | |
- Q. Liu, X. Zhao, H. Wang, and Y. Sun, "Establishment and Analysis of Spatiotemporal Variation Hydrological Model of Distributed Rainfall and Evaporation in Biliu River Basin," Complexity. 2021, doi:10.1155/2021/6639691. [Google Scholar]
- S. Y. Khedikar, S. N. Panchabhai, and T. K. Mandal, "Study on Effect of Rainfall Variability on Crop Productivity of Tur (Arhar) and Cotton Crops for Various Districts of Maharashtra, India," International Journal of Environment and Climate Change. 2023, doi: 10.9734/ijecc/2023/v13i92468. [Google Scholar]
- S. Hayashi, M. Kunitomo, K. Mikami, and K. Suzuki, "Recent and Historical Background and Current Challenges for Sediment Disaster Measures Against Climate Change in Japan," Water. 2022, doi: 10.3390/w14152285. [Google Scholar]
- A. Mulsandi, Y. Koesmaryono, R. Hidayat, A. Faqih, and A. Sopaheluwakan, "Detecting Indonesian Monsoon Signals and Related Features Using Space-Time Singular Value Decomposition (SVD)," Atmosphere, vol. 15, no. 2. 2024, doi: 10.3390/atmos15020187. [Google Scholar]
- S. Ferrett, G. Yang, S. J. Woolnough, K. Hodges, and C. E. Holloway, "Linking extreme precipitation in Southeast Asia to equatorial waves," no. June 2019, pp. 665–684, 2020, doi: 10.1002/qj.3699. [Google Scholar]
- A. A. Subgan, "Analisis Karakteristik Curah Hujan Wilayah Papua Bagian Utara Dan Selatan," Jurnal Natural. 2012, doi: 10.30862/jn.v9i2.326. [Google Scholar]
- A. Mulsandi, Y. Koesmaryono, R. Hidayat, A. Faqih, and A. Sopaheluwakan, "On The Interannual Variability of Indonesian Monsoon Rainfall (IMR): A Literature Review of The Role of its External Forcing," J. Meteorol. dan Geofis., vol. 24, no. 2 SE-Article, pp. 115–127, Mar. 2024, doi: 10.31172/jmg.v24i2.1049. [Google Scholar]
- G. Urgilés, R. Célleri, J. Bendix, and J. Orellana-Alvear, "Identification of Spatio-temporal Patterns in Extreme Rainfall Events in the Tropical Andes: A Clustering Analysis Approach," Meteorol. Appl., 2024, doi: 10.1002/met.70005. [Google Scholar]
- C. C. Ibebuchi, "Large-scale Forcing Over the Homogeneous Regions of Summer Rainfall Anomalies in Southern Africa," Meteorol. Appl., 2023, doi: 10.1002/met.2114. [Google Scholar]
- F. Mekanik, M. A. Imteaz, S. Gato-Trinidad, and A. Elmahdi, "Multiple Regression and Artificial Neural Network for Long-Term Rainfall Forecasting Using Large Scale Climate Modes," J. Hydrol., 2013, doi: 10.1016/j.jhydrol.2013.08.035. [Google Scholar]
- E. Aldrian and Y. S. Djamil, "Spatio-temporal climatic change of rainfall in East Java Indonesia," Int. J. Climatol., vol. 28, no. 4, 2008, doi: 10.1002/joc.1543. [Google Scholar]
- P. Narayanan, A. Basistha, and S. Kamna, "Understanding Trends and Shifts in Rainfall in Parts of Northwestern India Based on Global Climatic Indices," Weather, 2016, doi: 10.1002/wea.2746. [Google Scholar]
- B. J. Abiodun, S. A. Omar, C. Lennard, and C. Jack, "Using Regional Climate Models to Simulate Extreme Rainfall Events in the Western Cape, South Africa," Int. J. Climatol., 2015, doi: 10.1002/joc.4376. [Google Scholar]
- M. K. Roxy et al., "A Threefold Rise in Widespread Extreme Rain Events Over Central India," Nat. Commun., 2017, doi: 10.1038/s41467-017-00744-9. [Google Scholar]
- V. Hari, S. Karmakar, and S. Ghosh, "Diametric Changes in Trends and Patterns of Extreme Rainfall Over India From Pre-1950 to Post-1950," Geophys. Res. Lett., 2013, doi: 10.1002/grl.50631. [Google Scholar]
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