Yes, dust storms can possibly be forecasted now!!

2025 · doi:10.22541/au.171053022.25199270/v2
preprint OA: closed
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Abstract

A unique approach of a well-established Hot-Dry-Windy Index (HDWI) method is established to build the forecasting framework of dust storms. This method is successfully used for forecasting wildfire incidences. The approach calculates the likelihood of a dust storm by postulating that it arises from a synergistic interplay of elevated temperatures, arid atmospheric conditions, and powerful winds, similar to the conditions that are necessary for a wildfire occurrence. The approach has been effectively evaluated for eight distinct dust storm events that took place in important desert places around the world. The results regularly shown its capacity to precisely determine the source of dust storms within a limited time frame. The proposed strategy provides a multitude of advantages compared to other alternatives currently suggested for the same objective.
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Abstract

A unique approach of a well-established Hot-Dry-Windy Index (HDWI) method is established to build the forecasting framework of dust storms. This method is successfully used for forecasting wildfire incidences. The approach calculates the likelihood of a dust storm by postulating that it arises from a synergistic interplay of elevated temperatures, arid atmospheric conditions, and powerful winds, similar to the conditions that are necessary for a wildfire occurrence. The approach has been effectively evaluated for eight distinct dust storm events that took place in important desert places around the world. The results regularly shown its capacity to precisely determine the source of dust storms within a limited time frame. The proposed strategy provides a multitude of advantages compared to other alternatives currently suggested for the same objective. Formats available You can view the full content in the following formats: Information & Authors Information Copyright This work is licensed under a Creative Commons Attribution 4.0 International License

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Authors Metrics & Citations Metrics Article Usage 255views 123downloads Citations Download citation Manoj K Srivastava, Nabankur M., Bharat Ji Mehrotra, et al. Yes, dust storms can possibly be forecasted now!!. ESS Open Archive. 27 March 2025. DOI: https://doi.org/10.22541/au.171053022.25199270/v2 DOI: https://doi.org/10.22541/au.171053022.25199270/v2 If you have the appropriate software installed, you can download article citation data to the citation manager of your choice. Simply select your manager software from the list below and click Download. For more information or tips please see 'Downloading to a citation manager' in the Help menu.

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last seen: 2026-05-20T01:45:00.602351+00:00