Data and script used in the paper: Next-generation hybrid precipitation forecasts that integrate indigenous knowledge using machine learning

doi:10.4121/e9746810-a395-4e23-bccd-c4cd7d0e4459.v1
The doi 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
Datacite citation style:
Samuel Sutanto; Bosdijk, Joep (2024): Data and script used in the paper: Next-generation hybrid precipitation forecasts that integrate indigenous knowledge using machine learning. Version 1. 4TU.ResearchData. dataset. https://doi.org/10.4121/e9746810-a395-4e23-bccd-c4cd7d0e4459.v1
Other citation styles (APA, Harvard, MLA, Vancouver, Chicago, IEEE) available at Datacite
Dataset

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, published, posted
publisher
4TU.ResearchData
format
py, csv
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

DATA

files (3)