The DOI displayed above is for this specific version of this dataset, which is currently the latest. Newer versions may be published in the future. For a link that will always point to the latest version, please use
DOI: 10.4121/e9746810-a395-4e23-bccd-c4cd7d0e4459

Samuel Sutanto; Bosdijk, Joep (2025): Data and script used in the paper: Next-generation hybrid precipitation forecasts that integrate indigenous knowledge using machine learning. Version 2. 4TU.ResearchData. dataset. https://doi.org/10.4121/e9746810-a395-4e23-bccd-c4cd7d0e4459.v2

Version 1 - 2024-11-06

Usage statistics

Categories

• Environmental Science and Management
• Climate and Climate Change
• Atmosphere and Weather
• Environmental Sciences
• Environment

Keywords

hybrid forecast indigenous forecast machine learning Precipitation scientific forecast

Licence

CC BY-NC 4.0

Interoperability

• RO-Crate Metadata

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by Samuel Sutanto , Joep Bosdijk

All data and script used in the publication with the title "Next-generation hybrid precipitation forecasts that integrate indigenous knowledge using machine learning" are provided here. Readme file is provided to further explain the data and script. For the methodology, please look at the corresponding paper and supplementary information.

History

• 2024-11-06 first online

• 2025-07-07 published, posted

Publisher

4TU.ResearchData

Format

py, csv

Associated peer-reviewed publication

Next-generation hybrid precipitation forecasts that integrate Indigenous knowledge

Funding

• the Wageningen Data Driven Discoveries in Changing Climate (D3-C2) [more info...] the Wageningen Data Driven Discoveries in Changing Climate (D3-C2)

Organizations

Earth Systems and Global Change, Wageningen University & Research;
Weather Impact