Refining Drought Assessment: A Multi-Dimensional Analysis of Condition Monitoring Observer Reports in Missouri (2018–2024)

In this study, we propose an enhanced methodology for assessing drought conditions through the systematic categorization of Condition Monitoring Observer Reports (CMORs) from Missouri between 2018 and 2024. Our approach introduces a novel classification framework to categorize drought impacts—meteorological, agricultural, hydrological, and socioeconomic—and aligns the analysis with established United States Drought Monitor (USDM) severity classifications. To complement this framework, we incorporate the New Drought Index (NDI), a recently developed quantitative metric that integrates atmospheric anomalies. Brief consideration is also given to atmospheric blocking patterns, which influence drought development. Advanced text processing techniques are employed to bridge qualitative and quantitative insights. The findings underscore the importance of integrating observer insights, atmospheric processes, and advanced indices to refine drought monitoring, inform climate adaptation strategies, and support proactive resource management.

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Publication Details

Journal
Atmosphere
Published
2025-03-28
DOI
https://doi.org/10.3390/atmos16040389
Citations
4
Primary Topic
Hydrology and Drought Analysis
Type
article
Field-Weighted Citation Impact
4.42

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article

Refining Drought Assessment: A Multi-Dimensional Analysis of Condition Monitoring Observer Reports in Missouri (2018–2024)

Noel Aloysius, Anthony Rocco Lupo, Sarah M. Weaver, Sherry L. Hunt
4 citations
Atmosphere
Hydrology and Drought Analysis
4.42
article

Refining Drought Assessment: A Multi-Dimensional Analysis of Condition Monitoring Observer Reports in Missouri (2018–2024)

Noel Aloysius, Anthony Rocco Lupo, Sarah M. Weaver, Sherry L. Hunt
article en
4 citations

Abstract

In this study, we propose an enhanced methodology for assessing drought conditions through the systematic categorization of Condition Monitoring Observer Reports (CMORs) from Missouri between 2018 and 2024. Our approach introduces a novel classification framework to categorize drought impacts—meteorological, agricultural, hydrological, and socioeconomic—and aligns the analysis with established United States Drought Monitor (USDM) severity classifications. To complement this framework, we incorporate the New Drought Index (NDI), a recently developed quantitative metric that integrates atmospheric anomalies. Brief consideration is also given to atmospheric blocking patterns, which influence drought development. Advanced text processing techniques are employed to bridge qualitative and quantitative insights. The findings underscore the importance of integrating observer insights, atmospheric processes, and advanced indices to refine drought monitoring, inform climate adaptation strategies, and support proactive resource management.

AtmosphereVol. 16(4)
Agricultural Research Service (US), United States Department of Agriculture (US), University of Missouri (US)
U.S. Department of Agriculture
Openalex Percentile: Top 6%
Hydrology and Drought Analysis
4.42
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