Key (2026) kesondrakey/diurnal-divergence-factor: Code and data for Towards Biophysically-informed Drought Indicators Across US Ecosystems (V1.0.0)

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Identification

• Journal: Open MIND
• Year: 2026
• Date: 2026-03-29
• Authors: Kesondra Key
• DOI: 10.5281/zenodo.19323590

Research Groups

The specific research groups or departments are not explicitly detailed in this release description. However, the scope "Across US Ecosystems" and the use of publicly available eddy covariance data suggest a collaborative or synthesis effort involving multiple institutions or data sources related to US ecological research.

Short Summary

This release provides processed datasets and analytical code to support the development and analysis of biophysically-informed drought indicators across various US ecosystems, enhancing reproducibility and transparency for the associated manuscript.

Objective

• To develop and analyze biophysically-informed drought indicators for diverse ecosystems across the United States.

Study Configuration

• Spatial Scale: Continental United States, encompassing various ecosystems.
• Temporal Scale: Not explicitly stated in this release description, but typically multi-year given the nature of drought studies and eddy covariance data.

Methodology and Data

• Models used: Statistical analyses performed using R scripts and R Markdown; no specific biophysical process models (e.g., ISBA, mHM) are mentioned in this release description.
• Data sources: Processed datasets derived from original eddy covariance source data (obtained from publicly available repositories), and an external aridity index raster.

Main Results

This release describes the availability of processed datasets and analytical code supporting the manuscript, rather than presenting the main findings of the study itself. The manuscript's results would pertain to the development and application of biophysically-informed drought indicators.

Contributions

• Provides a public release of processed data and analytical code, significantly enhancing the reproducibility and transparency of research on biophysically-informed drought indicators. This facilitates further scientific inquiry and application by making the underlying data and methods openly accessible.

Funding

• Not explicitly detailed in this release description. The original eddy covariance source data were obtained from publicly available repositories and are cited in the manuscript.

Citation

@article{Key2026kesondrakeydiurnaldivergencefactor,
  author = {Key, Kesondra},
  title = {kesondrakey/diurnal-divergence-factor: Code and data for Towards Biophysically-informed Drought Indicators Across US Ecosystems (V1.0.0)},
  journal = {Open MIND},
  year = {2026},
  doi = {10.5281/zenodo.19323590},
  url = {https://doi.org/10.5281/zenodo.19323590}
}