Riyanto (2026) Dataset of ground-based meteorological observations and sunshine duration for solar irradiance modelling in Central Java, Indonesia

Identification

• Journal: Mendeley Data
• Year: 2026
• Date: 2026-09-15
• Authors: Eko Riyanto
• DOI: 10.17632/gk2bs354z3.1

Research Groups

• Diponegoro University
• Central Java Provincial Public Works Agency for Water Resources and Spatial Planning (Dinas PUSDATARU)

Short Summary

This dataset provides three years of ground-based meteorological observations from Sempu climatological station in Central Java, Indonesia, paired with a co-located NASA POWER daily time series, supporting the development and evaluation of sunshine-based empirical estimates of solar irradiance under humid tropical conditions.

Objective

• Investigate the feasibility of estimating daily global horizontal irradiance (GHI) using ground meteorology and sunshine duration data in Central Java, Indonesia.

Study Configuration

• Spatial Scale: Central Java, Indonesia
• Temporal Scale: 1 January 2022 - 31 December 2024

Methodology and Data

• Models used: None mentioned
• Data sources:
  • Ground-based meteorological observations from Sempu climatological station
  • NASA POWER daily time series

Main Results

• The dataset provides 1,056 complete daily records of ground meteorology and satellite/reanalysis data.
• Quality control procedures were applied to ensure the accuracy and reliability of the data.

Contributions

• This dataset contributes to the development and evaluation of sunshine-based empirical estimates of solar irradiance under humid tropical conditions in Central Java, Indonesia.
• It also supports benchmarking machine-learning irradiance models and cross-comparing ground meteorology against reanalysis.

Funding

• No funding information is provided.

Citation

@article{Riyanto2026Dataset,
  author = {Riyanto, Eko},
  title = {Dataset of ground-based meteorological observations and sunshine duration for solar irradiance modelling in Central Java, Indonesia},
  journal = {Mendeley Data},
  year = {2026},
  doi = {10.17632/gk2bs354z3.1},
  url = {https://doi.org/10.17632/gk2bs354z3.1}
}