Intelligent Monitoring of Ground-Based Weather Modification Equipment and Its Engineering Applications

Abstract: Ground-based weather modification equipment increasingly needs process monitoring andstandardized operation records. Using ground-based operation records from Kizilsu Prefecture in 2025 andJanuary-March 2026, eight snow-enhancement cases, and patent materials on updraft monitoring, this studyanalyzes equipment application characteristics and proposes an intelligent monitoring pathway. Among 197operation records, 176 involved AgI generators and 21 involved rockets; 142 records were related to snowenhancement and 55 to rain enhancement. The available materials describe post-operation precipitation butdo not contain the control-area, radar, satellite, and natural-background data needed for quantitativeattribution. Therefore, this paper focuses on equipment monitoring rather than effect estimation, andproposes a sensing-validation-identification-decision-feedback framework that embeds updraft sensing,equipment status, operation records, and post-operation review into a closed data chain.

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Publication Details

Journal
Zenodo (CERN European Organization for Nuclear Research)
Published
2026-08-28
DOI
https://doi.org/10.5281/zenodo.22138028
Primary Topic
Smart Materials for Construction
Type
article
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Intelligent Monitoring of Ground-Based Weather Modification Equipment and Its Engineering Applications

Zijie Wei, Xue Zhou, Muyang He, Haotong Liu
Zenodo (CERN European Organization for Nuclear Research)
Smart Materials for Construction
article

Intelligent Monitoring of Ground-Based Weather Modification Equipment and Its Engineering Applications

Zijie Wei, Xue Zhou, Muyang He, Haotong Liu
article en

Abstract

Abstract: Ground-based weather modification equipment increasingly needs process monitoring andstandardized operation records. Using ground-based operation records from Kizilsu Prefecture in 2025 andJanuary-March 2026, eight snow-enhancement cases, and patent materials on updraft monitoring, this studyanalyzes equipment application characteristics and proposes an intelligent monitoring pathway. Among 197operation records, 176 involved AgI generators and 21 involved rockets; 142 records were related to snowenhancement and 55 to rain enhancement. The available materials describe post-operation precipitation butdo not contain the control-area, radar, satellite, and natural-background data needed for quantitativeattribution. Therefore, this paper focuses on equipment monitoring rather than effect estimation, andproposes a sensing-validation-identification-decision-feedback framework that embeds updraft sensing,equipment status, operation records, and post-operation review into a closed data chain.

Zenodo (CERN European Organization for Nuclear Research)
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