A spatially distributed rainfall dataset for West Java, Indonesia

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 <i>from</i> 1991-2020 at daily resolution from 162 rain gauges covering various terrains and climate zone, which were monitored by <i>the Indonesian Agency for Meteorology Climatology and Geophysics</i> (BMKG). We used the inverse distance weighting (IDW) approach to spatially interpolate rainfall at <i>0.05⁰</i> grid resolution. In addition, timeseries of monthly and annual rainfall were generated from the daily dataset. Further, the spatial rainfall data <i>is</i> useful for identifying local climate, adaptation strategy for hydro-meteorological hazard, and water resource planning.