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Changes in large-scale controls of Atlantic tropical cyclone activity with the phases of the Atlantic multidecadal oscillation
SMHI, Forskningsavdelningen, Klimatforskning - Rossby Centre. Climate Forecasting Unit, Institut Cátála de Ciènces del clima (IC3).
2015 (Engelska)Ingår i: Climate Dynamics, ISSN 0930-7575, E-ISSN 1432-0894, Vol. 44, nr 7-8, s. 1801-1821Artikel i tidskrift (Refereegranskat) Published
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Abstract [en]

Atlantic tropical cyclone activity is known to oscillate between multi-annual periods of high and low activity. These changes have been linked to the Atlantic multidecadal oscillation (AMO), a mode of variability in Atlantic sea surface temperature which modifies the large-scale conditions of the tropical Atlantic. Cyclone activity is also modulated at higher frequencies by a series of other climate factors, with some of these influences appearing to be more consistent than others. Using the HURDAT2 database and a second set of tropical cyclone data corrected for possible missing storms in the earlier part of the record, we investigate, through Poisson regressions, the relationship between a series of climate variables and a series of metrics of seasonal Atlantic cyclone activity during both phases of the AMO. We find that, while some influences, such as El Nino Southern oscillation, remain present regardless of the AMO phase, other climate factors show an influence during only one of the two phases. During the negative phase, Sahel precipitation and the North Atlantic oscillation (NAO) are measured to play a role, while during the positive phase, the 11-year solar cycle and dust concentration over the Atlantic appear to be more important. Furthermore, we show that during the negative phase of the AMO, the NAO influences all our measures of tropical cyclone activity, and we go on to provide evidence that this is not simply due to changes in steering current, the mechanism by which the NAO is usually understood to impact Atlantic cyclone activity. Finally, we conclude by demonstrating that our results are robust to the sample size as well as to the choice of the statistical model.

Ort, förlag, år, upplaga, sidor
2015. Vol. 44, nr 7-8, s. 1801-1821
Nationell ämneskategori
Klimatforskning
Forskningsämne
Klimat
Identifikatorer
URN: urn:nbn:se:smhi:diva-2005DOI: 10.1007/s00382-014-2186-5ISI: 000351458300006OAI: oai:DiVA.org:smhi-2005DiVA, id: diva2:919154
Tillgänglig från: 2016-04-13 Skapad: 2016-03-03 Senast uppdaterad: 2017-11-30Bibliografiskt granskad

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Totalt: 95 träffar
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