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In this work, dust\u2010related metrics from four public areal data products were compared to a monitor\u2010based \u201cgold standard\u201d dust data set. The data products included the National Weather Service (NWS) storm event database, the Modern\u2010Era Retrospective analysis for Research and Applications\u2014Version 2, the EPA's Air QUAlity TimE Series (EQUATES) Project using the Community Multiscale Air Quality Modeling System (CMAQ), and the Copernicus Atmosphere Monitoring Service global reanalysis product. California, Nevada, Utah, and Arizona, which account for most dust storms reported in the U.S., were examined. Dichotomous and continuous metrics based on reported dust storms, particulate matter concentrations (PM<jats:sub>10<\/jats:sub> and PM<jats:sub>2.5<\/jats:sub>), and aerosol\u2010type variables were extracted or derived from the data products. Associations between these metrics and a validated dust storm detection method utilizing Interagency Monitoring of Protected Visual Environments monitors were estimated via quasi\u2010binomial regression. In general, metrics from CAMS yielded the strongest associations with the \u201cgold standard,\u201d followed by the NWS storm database metric. Dust aerosol (0.9\u201320\u00a0\u03bcm) mixing ratio, vertically integrated mass of dust aerosol (9\u201320\u00a0\u03bcm), and dust aerosol optical depth at 550\u00a0nm from CAMS generated the highest standardized odds ratios among all metrics. Future work will apply machine\u2010learning methods to the best\u2010performing metrics to create a public dust storm database suitable for long\u2010term epidemiologic studies.<\/jats:p>","DOI":"10.1029\/2023gh000824","type":"journal-article","created":{"date-parts":[[2023,8,26]],"date-time":"2023-08-26T10:50:17Z","timestamp":1693047017000},"update-policy":"https:\/\/doi.org\/10.1002\/crossmark_policy","source":"Crossref","is-referenced-by-count":5,"title":["Evaluating Data Product Exposure Metrics for Use in Epidemiologic Studies of Dust Storms"],"prefix":"10.1029","volume":"7","author":[{"ORCID":"https:\/\/orcid.org\/0000-0002-6707-7913","authenticated-orcid":false,"given":"Kirk","family":"Hohsfield","sequence":"first","affiliation":[{"name":"Department of Epidemiology Colorado School of Public Health University of Colorado\u2014Denver|Anschutz Medical Campus  Aurora CO USA"},{"name":"Division of Biostatistics and Bioinformatics National Jewish Health  Denver CO 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