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contributor authorRui Zhong
contributor authorQinghua Yang
contributor authorKevin Hodges
contributor authorRenhao Wu
contributor authorDake Chen
date accessioned2023-04-12T18:37:29Z
date available2023-04-12T18:37:29Z
date copyright2022/12/22
date issued2022
identifier otherMWR-D-22-0121.1.pdf
identifier urihttp://yetl.yabesh.ir/yetl1/handle/yetl/4289979
description abstractThe ERA5 new generation of high-resolution reanalysis provides a possibility to obtain more accurate cyclone tracks in the Southern Ocean. With a commonly used cyclone tracking algorithm, this study evaluates the impact of data resolution on Southern Ocean cyclone tracks for the period from 1980 to 2020 by preprocessing the ERA5 dataset at different spatial and temporal resolutions. A new track-matching method is proposed to assure an accurate comparison of different track datasets, considering the multiple match pairs and best match pair for each track. It is found that the number, distribution, and characteristics of cyclones are considerably different for various resolution scenarios. The higher spatial resolution captures more tracks, while the increased temporal resolution decreases the number, as well as the lifetime and the moving distance of tracks. The shared cyclones of different track datasets show different characteristics, influenced by both spatial and temporal resolutions. Higher spatial resolution schemes tend to identify more additional track points after the overlapping time of shared tracks rather than before. The spatial distribution pattern of additional track points is consistent when increasing temporal or spatial resolution separately. These results are a reference for the application of objective tracking algorithms in the Southern Ocean using input data with higher resolution.
publisherAmerican Meteorological Society
titleImpact of Data Resolution on Tracking Southern Ocean Cyclones
typeJournal Paper
journal volume151
journal issue1
journal titleMonthly Weather Review
identifier doi10.1175/MWR-D-22-0121.1
journal fristpage3
journal lastpage22
page3–22
treeMonthly Weather Review:;2022:;volume( 151 ):;issue: 001
contenttypeFulltext


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