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Published on: April 3, 2014
A spatially distributed rainfall dataset for West Java, Indonesia
Dwi Yoga Primartono1,2, Rahmat Hidayat1, Supari3
1Department of Geophysics and Meteorology, Kampus IPB Darmaga, IPB University, Bogor, 16680, Indonesia.
None:
Rainfall data availability is a basis of climate analysis and application, but its spatial distribution based on observed rainfall at local scale remains a research challenge. A spatially distributed rainfall at a finer resolution is the foundation for coping uncertain climate change and water resource planning and management. Here, we established a daily grid dataset for observed rainfall of West Java, Indonesia. The data were from 1991-2020 at daily resolution from 162 rain gauges covering various terrains and climate zone, which were monitored by the Indonesian Agency for Meteorology Climatology and Geophysics (BMKG). We used the inverse distance weighting (IDW) approach to spatially interpolate rainfall at 0.050 grid resolution. In addition, timeseries of monthly and annual rainfall were generated from the daily dataset. Further, the spatial rainfall data is useful for identifying local climate, adaptation strategy for hydro-meteorological hazard, and water resource planning.
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