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  3. IMILAST: A community effort to intercompare extratropical cyclone detection and tracking algorithms: assessing method-related uncertainties

IMILAST: A community effort to intercompare extratropical cyclone detection and tracking algorithms: assessing method-related uncertainties

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DOI
10.7892/boris.47702
Publisher DOI
10.1175/BAMS-D-11-00154.1
Abstract
The variability of results from different automated methods of detection and tracking of extratropical cyclones is assessed in order to identify uncertainties related to the choice of method. Fifteen international teams applied their own algorithms to the same dataset - the period 1989-2009 of interim European Centre for Medium-Range Weather Forecasts (ECMWF) Re-Analysis (ERAInterim) data. This experiment is part of the community project Intercomparison of Mid Latitude Storm Diagnostics (IMILAST; see www.proclim.ch/imilast/index.html). The spread of results for cyclone frequency, intensity, life cycle, and track location is presented to illustrate the impact of using different methods. Globally, methods agree well for geographical distribution in large oceanic regions, interannual variability of cyclone numbers, geographical patterns of strong trends, and distribution shape for many life cycle characteristics. In contrast, the largest disparities exist for the total numbers of cyclones, the detection of weak cyclones, and distribution in some densely populated regions. Consistency between methods is better for strong cyclones than for shallow ones. Two case studies of relatively large, intense cyclones reveal that the identification of the most intense part of the life cycle of these events is robust between methods, but considerable differences exist during the development and the dissolution phases.
Date Issued
2013
Publication Type
Article
Subject(s)
500 Science > 530 Physics
500 Science > 550 Earth sciences & geology
Language(s)
en
Author(s)
Neu, Urs
Akperov, Mirseid G.
Bellenbaum, Nina
Benestad, Rasmus
Blender, Richard
Caballero, Rodrigo
Cocozza, Angela
Dacre, Helen F.
Feng, Yang
Fraedrich, Klaus
Grieger, Jens
Gulev, Sergey
Hanley, John
Hewson, Tim
Inatsu, Masaru
Keay, Kevin
Kew, Sarah F.
Kindem, Ina
Leckebusch, Gregor C.
Liberato, Margarida L. R.
Lionello, Piero
Mokhov, Igor I.
Pinto, Joaquim G.
Raible, Christoph  orcid-logo
Physikalisches Institut, Klima- und Umweltphysik (KUP)  
Physikalisches Institut  
Oeschger Centre for Climate Change Research (OCCR)  
Reale, Marco
Rudeva, Irina
Schuster, Mareike
Simmonds, Ian
Sinclair, Mark
Sprenger, Michael
Tilinina, Natalia D.
Trigo, Isabel F.
Ulbrich, Sven
Ulbrich, Uwe
Wang, Xiaolan L.
Wernli, Heini
Additional Credits
Physikalisches Institut  
Physikalisches Institut, Klima- und Umweltphysik (KUP)  
Oeschger Centre for Climate Change Research (OCCR)  
Journal
Bulletin of the American Meteorological Society
Publisher
American Meteorological Society
ISSN
0003-0007
Access(Rights)
open.access
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