Show simple item record

contributor authorPepler, Acacia S.
contributor authorDi Luca, Alejandro
contributor authorJi, Fei
contributor authorAlexander, Lisa V.
contributor authorEvans, Jason P.
contributor authorSherwood, Steven C.
date accessioned2017-06-09T17:32:21Z
date available2017-06-09T17:32:21Z
date copyright2015/03/01
date issued2014
identifier issn0027-0644
identifier otherams-86927.pdf
identifier urihttp://onlinelibrary.yabesh.ir/handle/yetl/4230539
description abstracthe Australian east coast low (ECL) is both a major cause of damaging severe weather and an important contributor to rainfall and dam inflow along the east coast, and is of interest to a wide range of groups including catchment managers and emergency services. For this reason, several studies in recent years have developed and interrogated databases of east coast lows using a variety of automated cyclone detection methods and identification criteria. This paper retunes each method so that all yield a similar event frequency within the ECL region, to enable a detailed intercomparison of the similarities, differences, and relative advantages of each method. All methods are shown to have substantial skill at identifying ECL events leading to major impacts or explosive development, but the choice of method significantly affects both the seasonal and interannual variation of detected ECL numbers. This must be taken into consideration in studies on trends or variability in ECLs, with a subcategorization of ECL events by synoptic situation of key importance.
publisherAmerican Meteorological Society
titleImpact of Identification Method on the Inferred Characteristics and Variability of Australian East Coast Lows
typeJournal Paper
journal volume143
journal issue3
journal titleMonthly Weather Review
identifier doi10.1175/MWR-D-14-00188.1
journal fristpage864
journal lastpage877
treeMonthly Weather Review:;2014:;volume( 143 ):;issue: 003
contenttypeFulltext


Files in this item

Thumbnail

This item appears in the following Collection(s)

Show simple item record