Cloud Seeding Activities in the United States (2000–2025)
Description
This dataset contains 835 records of cloud seeding activities reported to NOAA in the United States between 2000 and 2025. Each record includes the following fields: year, season, state, seeding agent, deployment apparatus, and the stated purpose of the cloud seeding operation.
The dataset was constructed using a multi-stage PDF-to-text extraction pipeline combining PyMuPDF, pytesseract, and Unstract's LLM Whisperer. Extracted text was parsed and structured using OpenAI’s o4-mini language model, which inferred the relevant data fields from semi-structured report content.
To assess data quality, we manually reviewed a random sample of 200 records (n = 200). The dataset achieved 94.72% average accuracy across all six fields.
Files
cloud_seeding_us_2000_2025.csv
Files
(153.5 kB)
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Additional details
Related works
- Is described by
- Data paper: arXiv:2505.01555 (arXiv)
Dates
- Created
-
2025-04-30
Software
- Repository URL
- https://github.com/jdonohue44/NOAA-Weather-Modification-Forms-LLM-Extractor
- Programming language
- Python
- Development Status
- Active