A comparison of two identification and tracking methods for polar lows
In this study, we compare two different cyclone-tracking algorithms to detect North Atlantic polar lows, which are very intense mesoscale cyclones. Both approaches include spatial filtering, detection, tracking and constraints specific to polar lows. The first method uses digital bandpass-filtered m...
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ftunivreading:oai:centaur.reading.ac.uk:28810 2024-05-12T08:08:08+00:00 A comparison of two identification and tracking methods for polar lows Xia, L. Zahn, Matthias Hodges, Kevin I. Feser, F. Storch, HansVON 2012 text https://centaur.reading.ac.uk/28810/ https://centaur.reading.ac.uk/28810/1/17196-52067-2-PB.pdf en eng Co-Action Publishing https://centaur.reading.ac.uk/28810/1/17196-52067-2-PB.pdf Xia, L., Zahn, M. <https://centaur.reading.ac.uk/view/creators/90002817.html>, Hodges, K. I. <https://centaur.reading.ac.uk/view/creators/90000463.html>, Feser, F. and Storch, H. (2012) A comparison of two identification and tracking methods for polar lows. Tellus A, 64 (1). 17196. ISSN 1600-0870 doi: https://doi.org/10.3402/tellusa.v64i0.17196 <https://doi.org/10.3402/tellusa.v64i0.17196> Article PeerReviewed 2012 ftunivreading https://doi.org/10.3402/tellusa.v64i0.17196 2024-04-17T14:46:07Z In this study, we compare two different cyclone-tracking algorithms to detect North Atlantic polar lows, which are very intense mesoscale cyclones. Both approaches include spatial filtering, detection, tracking and constraints specific to polar lows. The first method uses digital bandpass-filtered mean sea level pressure (MSLP) fieldsin the spatial range of 200�600 km and is especially designed for polar lows. The second method also uses a bandpass filter but is based on the discrete cosine transforms (DCT) and can be applied to MSLP and vorticity fields. The latter was originally designed for cyclones in general and has been adapted to polar lows for this study. Both algorithms are applied to the same regional climate model output fields from October 1993 to September 1995 produced from dynamical downscaling of the NCEP/NCAR reanalysis data. Comparisons between these two methods show that different filters lead to different numbers and locations of tracks. The DCT is more precise in scale separation than the digital filter and the results of this study suggest that it is more suited for the bandpass filtering of MSLP fields. The detection and tracking parts also influence the numbers of tracks although less critically. After a selection process that applies criteria to identify tracks of potential polar lows, differences between both methods are still visible though the major systems are identified in both. Article in Journal/Newspaper North Atlantic CentAUR: Central Archive at the University of Reading Tellus A: Dynamic Meteorology and Oceanography 64 1 17196 |
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Open Polar |
collection |
CentAUR: Central Archive at the University of Reading |
op_collection_id |
ftunivreading |
language |
English |
description |
In this study, we compare two different cyclone-tracking algorithms to detect North Atlantic polar lows, which are very intense mesoscale cyclones. Both approaches include spatial filtering, detection, tracking and constraints specific to polar lows. The first method uses digital bandpass-filtered mean sea level pressure (MSLP) fieldsin the spatial range of 200�600 km and is especially designed for polar lows. The second method also uses a bandpass filter but is based on the discrete cosine transforms (DCT) and can be applied to MSLP and vorticity fields. The latter was originally designed for cyclones in general and has been adapted to polar lows for this study. Both algorithms are applied to the same regional climate model output fields from October 1993 to September 1995 produced from dynamical downscaling of the NCEP/NCAR reanalysis data. Comparisons between these two methods show that different filters lead to different numbers and locations of tracks. The DCT is more precise in scale separation than the digital filter and the results of this study suggest that it is more suited for the bandpass filtering of MSLP fields. The detection and tracking parts also influence the numbers of tracks although less critically. After a selection process that applies criteria to identify tracks of potential polar lows, differences between both methods are still visible though the major systems are identified in both. |
format |
Article in Journal/Newspaper |
author |
Xia, L. Zahn, Matthias Hodges, Kevin I. Feser, F. Storch, HansVON |
spellingShingle |
Xia, L. Zahn, Matthias Hodges, Kevin I. Feser, F. Storch, HansVON A comparison of two identification and tracking methods for polar lows |
author_facet |
Xia, L. Zahn, Matthias Hodges, Kevin I. Feser, F. Storch, HansVON |
author_sort |
Xia, L. |
title |
A comparison of two identification and tracking methods for polar lows |
title_short |
A comparison of two identification and tracking methods for polar lows |
title_full |
A comparison of two identification and tracking methods for polar lows |
title_fullStr |
A comparison of two identification and tracking methods for polar lows |
title_full_unstemmed |
A comparison of two identification and tracking methods for polar lows |
title_sort |
comparison of two identification and tracking methods for polar lows |
publisher |
Co-Action Publishing |
publishDate |
2012 |
url |
https://centaur.reading.ac.uk/28810/ https://centaur.reading.ac.uk/28810/1/17196-52067-2-PB.pdf |
genre |
North Atlantic |
genre_facet |
North Atlantic |
op_relation |
https://centaur.reading.ac.uk/28810/1/17196-52067-2-PB.pdf Xia, L., Zahn, M. <https://centaur.reading.ac.uk/view/creators/90002817.html>, Hodges, K. I. <https://centaur.reading.ac.uk/view/creators/90000463.html>, Feser, F. and Storch, H. (2012) A comparison of two identification and tracking methods for polar lows. Tellus A, 64 (1). 17196. ISSN 1600-0870 doi: https://doi.org/10.3402/tellusa.v64i0.17196 <https://doi.org/10.3402/tellusa.v64i0.17196> |
op_doi |
https://doi.org/10.3402/tellusa.v64i0.17196 |
container_title |
Tellus A: Dynamic Meteorology and Oceanography |
container_volume |
64 |
container_issue |
1 |
container_start_page |
17196 |
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1798851027055673344 |