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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.
Data in Brief
|September 2, 2025
Summary
A new daily rainfall grid dataset for West Java (1991-2020) was created using 162 rain gauges. This high-resolution spatial rainfall data aids climate analysis and water resource management.
Area of Science:
- Climatology
- Hydrology
- Geospatial Analysis
Background:
- Accurate rainfall data is crucial for climate analysis and water resource management.
- Spatial distribution of local-scale rainfall data presents a significant research challenge.
- Finer resolution rainfall data is essential for climate change adaptation and water planning.
Purpose of the Study:
- To establish a daily, high-resolution gridded dataset of observed rainfall for West Java, Indonesia.
- To provide a foundation for improved climate analysis and water resource management in the region.
- To support adaptation strategies for hydro-meteorological hazards.
Main Methods:
- Utilized daily rainfall data from 162 rain gauges monitored by the Indonesian Agency for Meteorology Climatology and Geophysics (BMKG) from 1991-2020.
- Employed the Inverse Distance Weighting (IDW) approach for spatial interpolation.
- Generated daily, monthly, and annual rainfall time-series at a 0.05° grid resolution.
Main Results:
- A comprehensive daily gridded rainfall dataset for West Java was successfully established.
- The dataset covers a 30-year period (1991-2020) with daily, monthly, and annual resolutions.
- The spatial interpolation effectively captured rainfall variations across diverse terrains and climate zones.
Conclusions:
- The developed gridded rainfall dataset provides a valuable resource for local climate studies in West Java.
- This data is instrumental for effective water resource planning and management.
- It serves as a critical tool for developing adaptation strategies against hydro-meteorological risks.
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