2026-10-14T18:04:14Z https://data.mendeley.com/oai

oai:data.mendeley.com/s6mpxkrm8p.3 2025-09-10T16:38:46Z

I Wayan, Andi Yuda Reconstructed Wind Direction TMY Dataset for Indonesia (2011–2020) Mendeley Data This dataset provides a sample of reconstructed wind direction data for Indonesia’s Typical Meteorological Year (TMY), developed using a Monte Carlo method to fill gaps in historical hourly records. The reconstruction enhances the early TMY dataset [1] by completing missing wind direction values, enabling more robust modeling and analysis. Included are annual windrose visualizations for 106 meteorological stations, summarizing the wind speed and direction profiles derived from the reconstructed TMY data. These plots support applications in energy modeling, passive design, and climatological assessment. The full TMY dataset is freely accessible through the official BMKG repository: [https://iklim.bmkg.go.id/id/i-tmy/] To support continuity and future updates, we commit to refining this Mendeley record in alignment with any changes to the institutional data repository. This work builds on the foundational methodology described in: [1] I.D.G.A. Putra, H. Nimiya, A. Sopaheluwakan, T. Kubota, H.S. Lee, R.P. Pradana, M.N.F. Alfata, R.B. Perdana, D.S. Permana, N.F. Riama, D. Karnawati, Development of typical meteorological years based on quality control of datasets in Indonesia, Renewable Energy, Vol. 221, 2024, Article 119699. [https://doi.org/10.1016/j.renene.2023.119699] Earth Sciences Meteorology Monte Carlo Method Wind Climate Data Nimiya, Hideyo Kubota, Tetsu Lee, Han Soo Dzarilarham, Shohibu Putra, I Dewa Gede Arya Perdana, Reza Bayu Alfata, Muhammad Nur Fajri Dataset doi:10.17632/s6mpxkrm8p.3 oai:data.mendeley.com/s6mpxkrm8p.3 Creative Commons Attribution 4.0 International http://creativecommons.org/licenses/by/4.0 https://data.mendeley.com/datasets/s6mpxkrm8p 2025-09-10T16:38:46Z