dc.contributor.author
Gupta, Shraddha
dc.contributor.author
Boers, Niklas
dc.contributor.author
Pappenberger, Florian
dc.contributor.author
Kurths, Jürgen
dc.date.accessioned
2021-08-10T07:42:18Z
dc.date.available
2021-08-10T07:42:18Z
dc.identifier.uri
https://refubium.fu-berlin.de/handle/fub188/31583
dc.identifier.uri
http://dx.doi.org/10.17169/refubium-31315
dc.description.abstract
Tropical cyclones (TCs) are one of the most destructive natural hazards that pose a serious threat to society, particularly to those in the coastal regions. In this work, we study the temporal evolution of the regional weather conditions in relation to the occurrence of TCs using climate networks. Climate networks encode the interactions among climate variables at different locations on the Earth’s surface, and in particular, time-evolving climate networks have been successfully applied to study different climate phenomena at comparably long time scales, such as the El Niño Southern Oscillation, different monsoon systems, or the climatic impacts of volcanic eruptions. Here, we develop and apply a complex network approach suitable for the investigation of the relatively short-lived TCs. We show that our proposed methodology has the potential to identify TCs and their tracks from mean sea level pressure (MSLP) data. We use the ERA5 reanalysis MSLP data to construct successive networks of overlapping, short-length time windows for the regions under consideration, where we focus on the north Indian Ocean and the tropical north Atlantic Ocean. We compare the spatial features of various topological properties of the network, and the spatial scales involved, in the absence and presence of a cyclone. We find that network measures such as degree and clustering exhibit significant signatures of TCs and have striking similarities with their tracks. The study of the network topology over time scales relevant to TCs allows us to obtain crucial insights into the effects of TCs on the spatial connectivity structure of sea-level pressure fields.
en
dc.format.extent
10 Seiten
dc.rights.uri
https://creativecommons.org/licenses/by/4.0/
dc.subject
Complex networks
en
dc.subject
Extreme weather event
en
dc.subject
Tropical cyclones
en
dc.subject
Mean sea level pressure
en
dc.subject.ddc
500 Naturwissenschaften und Mathematik::550 Geowissenschaften, Geologie::550 Geowissenschaften
dc.title
Complex network approach for detecting tropical cyclones
dc.type
Wissenschaftlicher Artikel
dcterms.bibliographicCitation.doi
10.1007/s00382-021-05871-0
dcterms.bibliographicCitation.journaltitle
Climate Dynamics
dcterms.bibliographicCitation.number
11-12
dcterms.bibliographicCitation.pagestart
3355
dcterms.bibliographicCitation.pageend
3364
dcterms.bibliographicCitation.volume
57
dcterms.bibliographicCitation.url
https://doi.org/10.1007/s00382-021-05871-0
refubium.affiliation
Mathematik und Informatik
refubium.resourceType.isindependentpub
no
dcterms.accessRights.openaire
open access
dcterms.isPartOf.eissn
1432-0894
refubium.resourceType.provider
WoS-Alert