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Related Experiment Video

Updated: Sep 9, 2025

A Protocol for Conducting Rainfall Simulation to Study Soil Runoff

A Protocol for Conducting Rainfall Simulation to Study Soil Runoff

Published on: April 3, 2014

A spatially distributed rainfall dataset for West Java, Indonesia.

Dwi Yoga Primartono^1,2, Rahmat Hidayat¹, Supari³

¹Department of Geophysics and Meteorology, Kampus IPB Darmaga, IPB University, Bogor, 16680, Indonesia.

|September 2, 2025

Summary

This summary is machine-generated.

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.

Keywords:

Climatology Interpolation Inverse distance weighting Rain gauge Topography

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Last Updated: Sep 9, 2025

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Published on: May 1, 2018

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.