Published November 12, 2024 | Version 1.0
Dataset Open

Data for fitting a statistical global burned area model for seamless integration into Dynamic Global Vegetation Models

Authors/Creators

  • 1. ROR icon University of California, Santa Cruz
  • 2. University of California Santa Cruz

Contributors

Supervisor:

  • 1. ROR icon Senckenberg Biodiversity and Climate Research Centre

Description

The dataset is a large R data.table object saved in RDS format. It contains global, monthly data spanning the period from 2002 to 2018, with a 0.5 degrees spatial resolution. The dataset is utilized to develop and validate statistical models for predicting global burnt areas resulting from wildfires.

Files

Files (289.2 MB)

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md5:ef82979df323f04dab745f5c3d8f1471
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Additional details

Funding

Deutsche Forschungsgemeinschaft
Fire in the Future: Interactions with Ecosystems and Society (FURNACES) HI 1538/14-1

Software

Repository URL
https://github.com/Blessingk-code/Statistical-global-burned-area-model-for-DGVMs.git
Programming language
R
Development Status
Active