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Anomalous integrated water vapor transport-based atmospheric river detection algorithm

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dc.contributor.authorMundhenk, Bryan D.
dc.contributor.authorBarnes, Elizabeth A.
dc.contributor.authorMaloney, Eric D.
dc.date.accessioned2016-02-09T16:15:58Z
dc.date.available2016-02-09T16:15:58Z
dc.date.issued2016
dc.descriptionAdditional information is provided in the @README.pdf included within the compressed file and in the appendix of the referenced Journal of Climate article.
dc.descriptionDepartment of Atmospheric Science
dc.description.abstractAtmospheric rivers (ARs) are often characterized as transient, plume-like structures of focused tropospheric water vapor and intense low-level winds that contribute substantially to the atmospheric branch of the hydrologic cycle. Here, we provide an abridged version of an AR detection algorithm, written in the Python 2.7 programming language, that was developed to facilitate climatological and dynamical analyses of ARs. This algorithm employs a unique approach of detecting AR-like features from within gridded fields of anomalous integrated water vapor transport. The use of anomalies was found to be efficient and to benefit automated feature detection in large spatial (i.e., North Pacific) and temporal (i.e., sub-daily across all seasons) domains.
dc.format.mediumZIP
dc.format.mediumPDF
dc.identifier.urihttp://hdl.handle.net/10217/170619
dc.identifier.urihttp://dx.doi.org/10.25675/10217/170619
dc.languageEnglish
dc.language.isoeng
dc.publisherColorado State University. Libraries
dc.relation.ispartofResearch Data
dc.relation.isreferencedbyBryan D. Mundhenk, Bryan D., Elizabeth A. Barnes, and Eric D. Maloney, All-Season Climatology and Variability of Atmospheric River Frequencies over the North Pacific, 2016. Journal of Climate. https://doi.org/10.1175/JCLI-D-15-0655.1
dc.rights.licenseThis data is open access and distributed under the terms and conditions of the Creative Commons Attribution 4.0 International License (https://creativecommons.org/licenses/by/4.0/)
dc.rights.urihttps://creativecommons.org/licenses/by/4.0/
dc.subjectAR detection
dc.subjectPython 2.7
dc.subjectatmospheric rivers
dc.subjecthydrologic cycle
dc.subjectalgorithm
dc.subjectanalysis
dc.titleAnomalous integrated water vapor transport-based atmospheric river detection algorithm
dc.typeDataset

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