Journal Article

FZJ-2018-06950

http://join2-wiki.gsi.de/foswiki/pub/Main/Artwork/join2_logo100x88.png The Dark Side of Hurricane Matthew: Unique Perspectives from the VIIRS Day/Night Band

Miller, S. D. (Corresponding author) ; Straka, W. C. ; Yue, J. ; Seaman, C. J. ; Xu, S. ; Elvidge, C. D. ; Hoffmann, L.FZJ* ; Azeem, I.

2018
ASM Boston, Mass.

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Please use a persistent id in citations: http://hdl.handle.net/2128/21205  doi:10.1175/BAMS-D-17-0097.1

Abstract: Hurricane Matthew (28 Sep - 9 October 2016) was perhaps the most infamous storm of the 2016 Atlantic hurricane season, claiming over 600 lives and causing over $15 billion USD in damages across the central Caribbean and southeastern U.S. seaboard. Research surrounding Matthew and its many noteworthy meteorological characteristics (e.g., rapid intensification into the southernmost Category 5 hurricane in the Atlantic basin on record, strong lightning and sprite production, and unusual cloud morphology) is ongoing. Satellite remote sensing typically plays an important role in the forecasting and study of hurricanes, providing a top-down perspective on storms developing over the remote and inherently data sparse tropical oceans. In this regard, a relative newcomer among the suite of satellite observations useful for tropical cyclone monitoring and research is the Visible/Infrared Imaging Radiometer Suite (VIIRS) Day/Night Band (DNB), a sensor flying onboard the NOAA/NASA Suomi National Polar-orbiting Partnership (SNPP) satellite. Unlike conventional instruments, the DNB's sensitivity to extremely low levels of visible/near-infrared light offers new insight on storm properties and impacts. Here, we chronicle Matthew’s path of destruction and peer through the DNB’s looking glass of low-light visible observations, including lightning connected to sprite formation, modulation of the atmospheric nightglow by storm-generated gravity waves, and widespread power outages. Collected without moonlight, these examples showcase the wealth of unique information present in DNB nocturnal low-light observations without moonlight, and their potential to complement traditional satellite measurements of tropical storms worldwide.

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Contributing Institute(s):

1. Jülich Supercomputing Center (JSC)

Research Program(s):

1. 511 - Computational Science and Mathematical Methods (POF3-511) (POF3-511)

Appears in the scientific report 2018

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Database coverage:
; ; Clarivate Analytics Master Journal List ; Current Contents - Physical, Chemical and Earth Sciences ; Ebsco Academic Search ; IF >= 5 ; JCR ; National-Konsortium ; SCOPUS ; Science Citation Index ; Science Citation Index Expanded ; Web of Science Core Collection

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