Objective tropical cyclone extratropical transition detection in high‐resolution reanalysis and climate model data
Abstract This paper describes an objective technique for detecting the extratropical transition (ET) of tropical cyclones (TCs) in high‐resolution gridded climate data. The algorithm is based on previous observational studies using phase spaces to define the symmetry and vertical thermal structure o...
Published in: | Journal of Advances in Modeling Earth Systems |
---|---|
Main Authors: | , , |
Format: | Article in Journal/Newspaper |
Language: | English |
Published: |
American Geophysical Union (AGU)
2017
|
Subjects: | |
Online Access: | https://doi.org/10.1002/2016MS000775 https://doaj.org/article/27cd876e50ad41f1bbeb6f6588803ad1 |
id |
ftdoajarticles:oai:doaj.org/article:27cd876e50ad41f1bbeb6f6588803ad1 |
---|---|
record_format |
openpolar |
spelling |
ftdoajarticles:oai:doaj.org/article:27cd876e50ad41f1bbeb6f6588803ad1 2023-10-01T03:58:00+02:00 Objective tropical cyclone extratropical transition detection in high‐resolution reanalysis and climate model data Colin M. Zarzycki Diana R. Thatcher Christiane Jablonowski 2017-03-01T00:00:00Z https://doi.org/10.1002/2016MS000775 https://doaj.org/article/27cd876e50ad41f1bbeb6f6588803ad1 EN eng American Geophysical Union (AGU) https://doi.org/10.1002/2016MS000775 https://doaj.org/toc/1942-2466 1942-2466 doi:10.1002/2016MS000775 https://doaj.org/article/27cd876e50ad41f1bbeb6f6588803ad1 Journal of Advances in Modeling Earth Systems, Vol 9, Iss 1, Pp 130-148 (2017) modeling tropical cyclones tracking detection high resolution Physical geography GB3-5030 Oceanography GC1-1581 article 2017 ftdoajarticles https://doi.org/10.1002/2016MS000775 2023-09-03T00:54:18Z Abstract This paper describes an objective technique for detecting the extratropical transition (ET) of tropical cyclones (TCs) in high‐resolution gridded climate data. The algorithm is based on previous observational studies using phase spaces to define the symmetry and vertical thermal structure of cyclones. Storm tracking is automated, allowing for direct analysis of climate data. Tracker performance in the North Atlantic is assessed using 23 years of data from the variable‐resolution Community Atmosphere Model (CAM) at two different resolutions ( ΔX∼55 km and 28 km), the Climate Forecast System Reanalysis (CFSR, ΔX∼38 km), and the ERA‐Interim Reanalysis (ERA‐I, ΔX∼80 km). The mean spatiotemporal climatologies and seasonal cycles of objectively detected ET in the observationally constrained CFSR and ERA‐I are well matched to previous observational studies, demonstrating the capability of the scheme to adequately find events. High‐resolution CAM reproduces TC and ET statistics that are in general agreement with reanalyses. One notable model bias, however, is significantly longer time between ET onset and ET completion in CAM, particularly for TCs that lose symmetry prior to developing a cold‐core structure and becoming extratropical cyclones, demonstrating the capability of this method to expose model biases in simulated cyclones beyond the tropical phase. Article in Journal/Newspaper North Atlantic Directory of Open Access Journals: DOAJ Articles Journal of Advances in Modeling Earth Systems 9 1 130 148 |
institution |
Open Polar |
collection |
Directory of Open Access Journals: DOAJ Articles |
op_collection_id |
ftdoajarticles |
language |
English |
topic |
modeling tropical cyclones tracking detection high resolution Physical geography GB3-5030 Oceanography GC1-1581 |
spellingShingle |
modeling tropical cyclones tracking detection high resolution Physical geography GB3-5030 Oceanography GC1-1581 Colin M. Zarzycki Diana R. Thatcher Christiane Jablonowski Objective tropical cyclone extratropical transition detection in high‐resolution reanalysis and climate model data |
topic_facet |
modeling tropical cyclones tracking detection high resolution Physical geography GB3-5030 Oceanography GC1-1581 |
description |
Abstract This paper describes an objective technique for detecting the extratropical transition (ET) of tropical cyclones (TCs) in high‐resolution gridded climate data. The algorithm is based on previous observational studies using phase spaces to define the symmetry and vertical thermal structure of cyclones. Storm tracking is automated, allowing for direct analysis of climate data. Tracker performance in the North Atlantic is assessed using 23 years of data from the variable‐resolution Community Atmosphere Model (CAM) at two different resolutions ( ΔX∼55 km and 28 km), the Climate Forecast System Reanalysis (CFSR, ΔX∼38 km), and the ERA‐Interim Reanalysis (ERA‐I, ΔX∼80 km). The mean spatiotemporal climatologies and seasonal cycles of objectively detected ET in the observationally constrained CFSR and ERA‐I are well matched to previous observational studies, demonstrating the capability of the scheme to adequately find events. High‐resolution CAM reproduces TC and ET statistics that are in general agreement with reanalyses. One notable model bias, however, is significantly longer time between ET onset and ET completion in CAM, particularly for TCs that lose symmetry prior to developing a cold‐core structure and becoming extratropical cyclones, demonstrating the capability of this method to expose model biases in simulated cyclones beyond the tropical phase. |
format |
Article in Journal/Newspaper |
author |
Colin M. Zarzycki Diana R. Thatcher Christiane Jablonowski |
author_facet |
Colin M. Zarzycki Diana R. Thatcher Christiane Jablonowski |
author_sort |
Colin M. Zarzycki |
title |
Objective tropical cyclone extratropical transition detection in high‐resolution reanalysis and climate model data |
title_short |
Objective tropical cyclone extratropical transition detection in high‐resolution reanalysis and climate model data |
title_full |
Objective tropical cyclone extratropical transition detection in high‐resolution reanalysis and climate model data |
title_fullStr |
Objective tropical cyclone extratropical transition detection in high‐resolution reanalysis and climate model data |
title_full_unstemmed |
Objective tropical cyclone extratropical transition detection in high‐resolution reanalysis and climate model data |
title_sort |
objective tropical cyclone extratropical transition detection in high‐resolution reanalysis and climate model data |
publisher |
American Geophysical Union (AGU) |
publishDate |
2017 |
url |
https://doi.org/10.1002/2016MS000775 https://doaj.org/article/27cd876e50ad41f1bbeb6f6588803ad1 |
genre |
North Atlantic |
genre_facet |
North Atlantic |
op_source |
Journal of Advances in Modeling Earth Systems, Vol 9, Iss 1, Pp 130-148 (2017) |
op_relation |
https://doi.org/10.1002/2016MS000775 https://doaj.org/toc/1942-2466 1942-2466 doi:10.1002/2016MS000775 https://doaj.org/article/27cd876e50ad41f1bbeb6f6588803ad1 |
op_doi |
https://doi.org/10.1002/2016MS000775 |
container_title |
Journal of Advances in Modeling Earth Systems |
container_volume |
9 |
container_issue |
1 |
container_start_page |
130 |
op_container_end_page |
148 |
_version_ |
1778530327826792448 |