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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Online Access: | http://hdl.handle.net/11368/2667324 |
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ftunitriestiris:oai:arts.units.it:11368/2667324 2024-09-15T18:02:12+00:00 Are Greenhouse Gas Signals of Northern Hemisphere winter extra-tropical cyclone activity dependent on the identification and tracking algorithm? Ulbrich U. G. C. Leckebusch J. Grieger M. Schuster M. Akperov M. Y. Bardin Y. Feng S. Gulev M. Inatsu K. Keay S. F. Kew M. L. R. Liberato P. Lionello I. I. Mokhov U. Neu J. G. Pinto C. C. Raible I. Rudeva I. Simmonds N. D. Tilinina I. F. Trigo S. Ulbrich X. L. Wang H. Wernli REALE, MARCO Ulbrich, U. G. C., Leckebusch J., Grieger M., Schuster M., Akperov M. Y., Bardin Y., Feng S., Gulev M., Inatsu K., Keay S. F., Kew M. L. R., Liberato P., Lionello I. I., Mokhov U., Neu J. G., Pinto C. C., Raible Reale, Marco I., Rudeva I., Simmond N. D., Tilinina I. F., Trigo S., Ulbrich X. L., Wang H., Wernli 2013 http://hdl.handle.net/11368/2667324 eng eng firstpage:61 lastpage:68 numberofpages:8 journal:METEOROLOGISCHE ZEISCHRIFT http://hdl.handle.net/11368/2667324 Climate Change Extra-tropical cyclones ECHAM5 IMILAST info:eu-repo/semantics/article 2013 ftunitriestiris 2024-08-29T05:06:02Z 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 transientAOGCMsimulation 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 Climate change Greenland North Atlantic Università degli studi di Trieste: ArTS (Archivio della ricerca di Trieste) |
institution |
Open Polar |
collection |
Università degli studi di Trieste: ArTS (Archivio della ricerca di Trieste) |
op_collection_id |
ftunitriestiris |
language |
English |
topic |
Climate Change Extra-tropical cyclones ECHAM5 IMILAST |
spellingShingle |
Climate Change Extra-tropical cyclones ECHAM5 IMILAST Ulbrich U. G. C. Leckebusch J. Grieger M. Schuster M. Akperov M. Y. Bardin Y. Feng S. Gulev M. Inatsu K. Keay S. F. Kew M. L. R. Liberato P. Lionello I. I. Mokhov U. Neu J. G. Pinto C. C. Raible I. Rudeva I. Simmonds N. D. Tilinina I. F. Trigo S. Ulbrich X. L. Wang H. Wernli REALE, MARCO Are Greenhouse Gas Signals of Northern Hemisphere winter extra-tropical cyclone activity dependent on the identification and tracking algorithm? |
topic_facet |
Climate Change Extra-tropical cyclones ECHAM5 IMILAST |
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 transientAOGCMsimulation 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. |
author2 |
Ulbrich, U. G. C., Leckebusch J., Grieger M., Schuster M., Akperov M. Y., Bardin Y., Feng S., Gulev M., Inatsu K., Keay S. F., Kew M. L. R., Liberato P., Lionello I. I., Mokhov U., Neu J. G., Pinto C. C., Raible Reale, Marco I., Rudeva I., Simmond N. D., Tilinina I. F., Trigo S., Ulbrich X. L., Wang H., Wernli |
format |
Article in Journal/Newspaper |
author |
Ulbrich U. G. C. Leckebusch J. Grieger M. Schuster M. Akperov M. Y. Bardin Y. Feng S. Gulev M. Inatsu K. Keay S. F. Kew M. L. R. Liberato P. Lionello I. I. Mokhov U. Neu J. G. Pinto C. C. Raible I. Rudeva I. Simmonds N. D. Tilinina I. F. Trigo S. Ulbrich X. L. Wang H. Wernli REALE, MARCO |
author_facet |
Ulbrich U. G. C. Leckebusch J. Grieger M. Schuster M. Akperov M. Y. Bardin Y. Feng S. Gulev M. Inatsu K. Keay S. F. Kew M. L. R. Liberato P. Lionello I. I. Mokhov U. Neu J. G. Pinto C. C. Raible I. Rudeva I. Simmonds N. D. Tilinina I. F. Trigo S. Ulbrich X. L. Wang H. Wernli REALE, MARCO |
author_sort |
Ulbrich U. |
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? |
publishDate |
2013 |
url |
http://hdl.handle.net/11368/2667324 |
genre |
Climate change Greenland North Atlantic |
genre_facet |
Climate change Greenland North Atlantic |
op_relation |
firstpage:61 lastpage:68 numberofpages:8 journal:METEOROLOGISCHE ZEISCHRIFT http://hdl.handle.net/11368/2667324 |
_version_ |
1810439589314166784 |