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Scholarly Works, Center for Space Science and Engineering Research (Space@VT)

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https://hdl.handle.net/10919/25217
Research articles, presentations, and other scholarship

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Browsing Scholarly Works, Center for Space Science and Engineering Research (Space@VT) by Author "Alexander, M. Joan"

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    Surface-to-space atmospheric waves from Hunga Tonga-Hunga Ha'apai eruption
    Wright, Corwin J.; Hindley, Neil P.; Alexander, M. Joan; Barlow, Mathew; Hoffmann, Lars; Mitchell, Cathryn N.; Prata, Fred; Bouillon, Marie; Carstens, Justin; Clerbaux, Cathy; Osprey, Scott M.; Powell, Nick; Randall, Cora E.; Yue, Jia (Nature Portfolio, 2022-09-22)
    The January 2022 Hunga Tonga-Hunga Ha'apai eruption was one of the most explosive volcanic events of the modern era(1,2), producing a vertical plume that peaked more than 50 km above the Earth(3). The initial explosion and subsequent plume triggered atmospheric waves that propagated around the world multiple times(4). A global-scale wave response of this magnitude from a single source has not previously been observed. Here we show the details of this response, using a comprehensive set of satellite and ground-based observations to quantify it from surface to ionosphere. A broad spectrum of waves was triggered by the initial explosion, including Lamb waves(5,6) propagating at phase speeds of 318.2 +/- 6 m s(-1) at surface level and between 308 +/- 5 to 319 +/- 4 m s(-1) in the stratosphere, and gravity waves(7) propagating at 238 +/- 3 to 269 +/- 3 m s(-1) in the stratosphere. Gravity waves at sub-ionospheric heights have not previously been observed propagating at this speed or over the whole Earth from a single source(8,9). Latent heat release from the plume remained the most significant individual gravity wave source worldwide for more than 12 h, producing circular wavefronts visible across the Pacific basin in satellite observations. A single source dominating such a large region is also unique in the observational record. The Hunga Tonga eruption represents a key natural experiment in how the atmosphere responds to a sudden point-source-driven state change, which will be of use for improving weather and climate models.