Fikaduway12 et al. (2026) Supplementary Materials for AI Weather Forecasting Systematic Review (Version 1.2)

⚠️ Warning: This summary was generated from the abstract only, as the full text was not available.

Identification

• Journal: Open MIND
• Year: 2026
• Date: 2026-03-30
• Authors: Fikaduway12
• DOI: 10.5281/zenodo.19218520

Research Groups

Authors of the systematic review "Artificial Intelligence for Weather Forecasting and Decision Support: A Systematic Review of Methods, Applications, and Challenges". Specific research groups are not detailed in the provided text.

Short Summary

This record contains supplementary materials for a systematic review on Artificial Intelligence for weather forecasting, providing detailed summaries and quality assessments for 50 included studies to enhance reproducibility and transparency.

Objective

• To provide detailed summaries (Appendix A) and quality assessment results (Appendix B) for 50 studies included in the main systematic review, thereby enhancing its reproducibility and transparency.

Study Configuration

• Spatial Scale: Not applicable to these supplementary materials; the reviewed studies cover various spatial scales.
• Temporal Scale: Not applicable to these supplementary materials; the reviewed studies cover various temporal scales.

Methodology and Data

• Models used: Not applicable; these materials support a systematic review, not a primary modeling study. The main review analyzes studies that may use various AI techniques and models.
• Data sources: The 50 included studies of the systematic review "Artificial Intelligence for Weather Forecasting and Decision Support: A Systematic Review of Methods, Applications, and Challenges".

Main Results

• Appendix A provides detailed summaries of 50 included studies, covering aspects such as study ID, authors, year, AI techniques, models, data sources, sample sizes, evaluation metrics, key findings, and challenges.
• Appendix B presents the quality assessment results for all 50 studies, utilizing a 10-criteria appraisal tool.

Contributions

• Enhances the reproducibility and transparency of the main systematic review by providing comprehensive details and quality assessments of the included studies.
• Offers a structured overview of the methodologies, findings, and challenges of individual studies contributing to the systematic review.

Funding

Not specified in the provided text.

Citation

@article{Fikaduway122026Supplementary,
  author = {Fikaduway12 and Bekele,, Gizaw Tadele and Xia, Jingming},
  title = {Supplementary Materials for AI Weather Forecasting Systematic Review (Version 1.2)},
  journal = {Open MIND},
  year = {2026},
  doi = {10.5281/zenodo.19218520},
  url = {https://doi.org/10.5281/zenodo.19218520}
}