Are Greenhouse Gas Signals of Northern Hemisphere winter extra-tropical cyclone activity dependent on the identification and tracking algorithm?
For Northern Hemisphere extra-tropical cyclone activity, the dependency of a potential anthropogenic climate change signal on the identification method applied is analysed. This study investigates the impact of the used algorithm on the changing signal, not the robustness of the climate change signa...
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ftunivbern:oai:boris.unibe.ch:47712 2023-08-20T04:04:39+02:00 Are Greenhouse Gas Signals of Northern Hemisphere winter extra-tropical cyclone activity dependent on the identification and tracking algorithm? Ulbrich, Uwe Leckebusch, Gregor C. Grieger, Jens Schuster, Mareike Akperov, Mirseid G. Bardin, Mikhail Yu. Feng, Yang Gulev, Sergey Inatsu, Masaru Keay, Kevin Kew, Sarah F. Liberato, Margarida L. R. Lionello, Piero Mokhov, Igor I. Neu, Urs Pinto, Joaquim G. Raible, Christoph Reale, Marco Rudeva, Irina Simmonds, Ian Tilinina, Natalia D. Trigo, Isabel F. Ulbrich, Sven Wang, Xiaolan L. Wernli, Heini 2013 application/pdf https://boris.unibe.ch/47712/1/greenhouse%20gas.pdf https://boris.unibe.ch/47712/ eng eng Borntraeger https://boris.unibe.ch/47712/ info:eu-repo/semantics/openAccess Ulbrich, Uwe; Leckebusch, Gregor C.; Grieger, Jens; Schuster, Mareike; Akperov, Mirseid G.; Bardin, Mikhail Yu.; Feng, Yang; Gulev, Sergey; Inatsu, Masaru; Keay, Kevin; Kew, Sarah F.; Liberato, Margarida L. R.; Lionello, Piero; Mokhov, Igor I.; Neu, Urs; Pinto, Joaquim G.; Raible, Christoph; Reale, Marco; Rudeva, Irina; Simmonds, Ian; . (2013). Are Greenhouse Gas Signals of Northern Hemisphere winter extra-tropical cyclone activity dependent on the identification and tracking algorithm? Meteorologische Zeitschrift, 22(1), pp. 61-68. Borntraeger 10.1127/0941-2948/2013/0420 <http://dx.doi.org/10.1127/0941-2948/2013/0420> 530 Physics 550 Earth sciences & geology info:eu-repo/semantics/article info:eu-repo/semantics/publishedVersion PeerReviewed 2013 ftunivbern https://doi.org/10.1127/0941-2948/2013/0420 2023-07-31T21:06:02Z For Northern Hemisphere extra-tropical cyclone activity, the dependency of a potential anthropogenic climate change signal on the identification method applied is analysed. This study investigates the impact of the used algorithm on the changing signal, not the robustness of the climate change signal itself. Using one single transient AOGCM simulation as standard input for eleven state-of-the-art identification methods, the patterns of model simulated present day climatologies are found to be close to those computed from re-analysis, independent of the method applied. Although differences in the total number of cyclones identified exist, the climate change signals (IPCC SRES A1B) in the model run considered are largely similar between methods for all cyclones. Taking into account all tracks, decreasing numbers are found in the Mediterranean, the Arctic in the Barents and Greenland Seas, the mid-latitude Pacific and North America. Changing patterns are even more similar, if only the most severe systems are considered: the methods reveal a coherent statistically significant increase in frequency over the eastern North Atlantic and North Pacific. We found that the differences between the methods considered are largely due to the different role of weaker systems in the specific methods. Article in Journal/Newspaper Arctic Climate change Greenland North Atlantic BORIS (Bern Open Repository and Information System, University of Bern) Arctic Greenland Pacific Meteorologische Zeitschrift 22 1 61 68 |
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Open Polar |
collection |
BORIS (Bern Open Repository and Information System, University of Bern) |
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ftunivbern |
language |
English |
topic |
530 Physics 550 Earth sciences & geology |
spellingShingle |
530 Physics 550 Earth sciences & geology Ulbrich, Uwe Leckebusch, Gregor C. Grieger, Jens Schuster, Mareike Akperov, Mirseid G. Bardin, Mikhail Yu. Feng, Yang Gulev, Sergey Inatsu, Masaru Keay, Kevin Kew, Sarah F. Liberato, Margarida L. R. Lionello, Piero Mokhov, Igor I. Neu, Urs Pinto, Joaquim G. Raible, Christoph Reale, Marco Rudeva, Irina Simmonds, Ian Tilinina, Natalia D. Trigo, Isabel F. Ulbrich, Sven Wang, Xiaolan L. Wernli, Heini Are Greenhouse Gas Signals of Northern Hemisphere winter extra-tropical cyclone activity dependent on the identification and tracking algorithm? |
topic_facet |
530 Physics 550 Earth sciences & geology |
description |
For Northern Hemisphere extra-tropical cyclone activity, the dependency of a potential anthropogenic climate change signal on the identification method applied is analysed. This study investigates the impact of the used algorithm on the changing signal, not the robustness of the climate change signal itself. Using one single transient AOGCM simulation as standard input for eleven state-of-the-art identification methods, the patterns of model simulated present day climatologies are found to be close to those computed from re-analysis, independent of the method applied. Although differences in the total number of cyclones identified exist, the climate change signals (IPCC SRES A1B) in the model run considered are largely similar between methods for all cyclones. Taking into account all tracks, decreasing numbers are found in the Mediterranean, the Arctic in the Barents and Greenland Seas, the mid-latitude Pacific and North America. Changing patterns are even more similar, if only the most severe systems are considered: the methods reveal a coherent statistically significant increase in frequency over the eastern North Atlantic and North Pacific. We found that the differences between the methods considered are largely due to the different role of weaker systems in the specific methods. |
format |
Article in Journal/Newspaper |
author |
Ulbrich, Uwe Leckebusch, Gregor C. Grieger, Jens Schuster, Mareike Akperov, Mirseid G. Bardin, Mikhail Yu. Feng, Yang Gulev, Sergey Inatsu, Masaru Keay, Kevin Kew, Sarah F. Liberato, Margarida L. R. Lionello, Piero Mokhov, Igor I. Neu, Urs Pinto, Joaquim G. Raible, Christoph Reale, Marco Rudeva, Irina Simmonds, Ian Tilinina, Natalia D. Trigo, Isabel F. Ulbrich, Sven Wang, Xiaolan L. Wernli, Heini |
author_facet |
Ulbrich, Uwe Leckebusch, Gregor C. Grieger, Jens Schuster, Mareike Akperov, Mirseid G. Bardin, Mikhail Yu. Feng, Yang Gulev, Sergey Inatsu, Masaru Keay, Kevin Kew, Sarah F. Liberato, Margarida L. R. Lionello, Piero Mokhov, Igor I. Neu, Urs Pinto, Joaquim G. Raible, Christoph Reale, Marco Rudeva, Irina Simmonds, Ian Tilinina, Natalia D. Trigo, Isabel F. Ulbrich, Sven Wang, Xiaolan L. Wernli, Heini |
author_sort |
Ulbrich, Uwe |
title |
Are Greenhouse Gas Signals of Northern Hemisphere winter extra-tropical cyclone activity dependent on the identification and tracking algorithm? |
title_short |
Are Greenhouse Gas Signals of Northern Hemisphere winter extra-tropical cyclone activity dependent on the identification and tracking algorithm? |
title_full |
Are Greenhouse Gas Signals of Northern Hemisphere winter extra-tropical cyclone activity dependent on the identification and tracking algorithm? |
title_fullStr |
Are Greenhouse Gas Signals of Northern Hemisphere winter extra-tropical cyclone activity dependent on the identification and tracking algorithm? |
title_full_unstemmed |
Are Greenhouse Gas Signals of Northern Hemisphere winter extra-tropical cyclone activity dependent on the identification and tracking algorithm? |
title_sort |
are greenhouse gas signals of northern hemisphere winter extra-tropical cyclone activity dependent on the identification and tracking algorithm? |
publisher |
Borntraeger |
publishDate |
2013 |
url |
https://boris.unibe.ch/47712/1/greenhouse%20gas.pdf https://boris.unibe.ch/47712/ |
geographic |
Arctic Greenland Pacific |
geographic_facet |
Arctic Greenland Pacific |
genre |
Arctic Climate change Greenland North Atlantic |
genre_facet |
Arctic Climate change Greenland North Atlantic |
op_source |
Ulbrich, Uwe; Leckebusch, Gregor C.; Grieger, Jens; Schuster, Mareike; Akperov, Mirseid G.; Bardin, Mikhail Yu.; Feng, Yang; Gulev, Sergey; Inatsu, Masaru; Keay, Kevin; Kew, Sarah F.; Liberato, Margarida L. R.; Lionello, Piero; Mokhov, Igor I.; Neu, Urs; Pinto, Joaquim G.; Raible, Christoph; Reale, Marco; Rudeva, Irina; Simmonds, Ian; . (2013). Are Greenhouse Gas Signals of Northern Hemisphere winter extra-tropical cyclone activity dependent on the identification and tracking algorithm? Meteorologische Zeitschrift, 22(1), pp. 61-68. Borntraeger 10.1127/0941-2948/2013/0420 <http://dx.doi.org/10.1127/0941-2948/2013/0420> |
op_relation |
https://boris.unibe.ch/47712/ |
op_rights |
info:eu-repo/semantics/openAccess |
op_doi |
https://doi.org/10.1127/0941-2948/2013/0420 |
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Meteorologische Zeitschrift |
container_volume |
22 |
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61 |
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