2022 / Cloud seeding & rain

Nudging a Pseudo‐Science Towards a Science—The Role of Statistics in a Rainfall Enhancement Trial in Oman

International Statistical Review

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SCOPED EVIDENCE NOTE

What this source contributes.

Statistical analysis of the Oman ionization rainfall trial. Attribution depends on modeling and trial-design assumptions; it is not independent evidence for a visibility product.

Scope of our check
Primary abstract and disclosed methods/results reviewed; raw trial data have not been independently reanalyzed by Weatherhill.

Primary material consulted

  1. Primary source 1

This is a bounded reading note. It is not independent replication, a full systematic review or an endorsement of every conclusion in the paper.

Questions to take to the paper

  • Was allocation randomized, and was the analysis specified first?
  • What cloud and weather regime was eligible?
  • Is the claimed change a local event, a seasonal total or a model estimate?
Keep the evidence attached to its setting.
A simulation, chamber result, field observation and operational outcome answer different questions. Record the comparator, measured quantity and conditions before carrying a result into a design.

Bibliographic provenance

Verified 2026-10-11 against the publisher-deposited metadata record. Publication dates retain the precision supplied by the publisher. Metadata may reflect digital republication; it is not always the earliest historical publication date.

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2020research
Cloud seeding & rainEvidence note

Quantifying snowfall from orographic cloud seeding

Katja Friedrich; Kyoko Ikeda; Sarah A. Tessendorf; Jeffrey R. French; Robert M. Rauber; Bart Geerts; Lulin Xue; Roy M. Rasmussen; Derek R. Blestrud; Melvin L. Kunkel; Nicholas Dawson; Shaun Parkinson

Proceedings of the National Academy of Sciences · 10.1073/pnas.1917204117

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