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@ARTICLE{Wright:908443,
author = {Wright, Corwin J. and Hindley, Neil P. and Alexander, M.
Joan and Barlow, Mathew and Hoffmann, Lars and Mitchell,
Cathryn N. and Prata, Fred and Bouillon, Marie and Carstens,
Justin and Clerbaux, Cathy and Osprey, Scott M. and Powell,
Nick and Randall, Cora E. and Yue, Jia},
title = {{S}urface-to-space atmospheric waves from {H}unga
{T}onga-{H}unga {H}a’apai eruption},
journal = {Nature},
volume = {609},
issn = {0028-0836},
address = {London [u.a.]},
publisher = {Nature Publ. Group},
reportid = {FZJ-2022-02609},
pages = {741–746},
year = {2022},
abstract = {The January 2022 Hunga Tonga–Hunga Haʻapai eruption was
one of the most explosive volcanic events of the modern era,
producing a vertical plume which peaked > 50 km above the
Earth. The initial explosion and subsequent plume triggered
atmospheric waves which propagated around the world multiple
times. 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
propagating at phase speeds of 318.2±6 m/s at surface level
and between 308±5 to 319±4 m/s in the stratosphere, and
gravity waves propagating at 238±3 to 269±3 m/s 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. Latent heat
release from the plume remained the most significant
individual gravity wave source worldwide for > 12 hours,
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.},
cin = {JSC},
ddc = {500},
cid = {I:(DE-Juel1)JSC-20090406},
pnm = {5111 - Domain-Specific Simulation $\&$ Data Life Cycle Labs
(SDLs) and Research Groups (POF4-511)},
pid = {G:(DE-HGF)POF4-5111},
typ = {PUB:(DE-HGF)16},
pubmed = {35772670},
UT = {WOS:000854445900001},
doi = {10.1038/s41586-022-05012-5},
url = {https://juser.fz-juelich.de/record/908443},
}