A composite approach to produce reference datasets for extratropical cyclone tracks: application to Mediterranean cyclones
-
Published:2023-07-21
Issue:3
Volume:4
Page:639-661
-
ISSN:2698-4016
-
Container-title:Weather and Climate Dynamics
-
language:en
-
Short-container-title:Weather Clim. Dynam.
Author:
Flaounas EmmanouilORCID, Aragão LeonardoORCID, Bernini Lisa, Dafis Stavros, Doiteau Benjamin, Flocas Helena, Gray Suzanne L.ORCID, Karwat Alexia, Kouroutzoglou John, Lionello PieroORCID, Miglietta Mario MarcelloORCID, Pantillon FlorianORCID, Pasquero ClaudiaORCID, Patlakas PlatonORCID, Picornell María Ángeles, Porcù FedericoORCID, Priestley Matthew D. K.ORCID, Reale MarcoORCID, Roberts Malcolm J., Saaroni Hadas, Sandler DorORCID, Scoccimarro EnricoORCID, Sprenger Michael, Ziv BaruchORCID
Abstract
Abstract. Many cyclone detection and tracking methods (CDTMs) have been developed in
the past to study the climatology of extratropical cyclones. However, all
CDTMs have different approaches in defining and tracking cyclone centers.
This naturally leads to cyclone track climatologies with inconsistent physical
characteristics. More than that, it is typical for CDTMs to produce a
non-negligible number of tracks of weak atmospheric features, which do not
correspond to large-scale or mesoscale vortices and can differ significantly
between CDTMs. Lack of consensus in CDTM outputs and the inclusion of
significant numbers of uncertain tracks therein have long prohibited the
production of a commonly accepted reference dataset of extratropical cyclone
tracks. Such a dataset could allow comparable results on the analysis of
storm track climatologies and could also contribute to the evaluation and
improvement of CDTMs. To cover this gap, we present a new methodological approach that combines
overlapping tracks from different CDTMs and produces composite tracks that
concentrate the agreement of more than one CDTM. In this study we apply this
methodology to the outputs of 10 well-established CDTMs which were
originally applied to ERA5 reanalysis in the 42-year period of 1979–2020. We
tested the sensitivity of our results to the spatiotemporal criteria that
identify overlapping cyclone tracks, and for benchmarking reasons, we
produced five reference datasets of subjectively tracked cyclones. Results
show that climatological numbers of composite tracks are substantially lower
than the ones of individual CDTMs, while benchmarking scores remain high
(i.e., counting the number of subjectively tracked cyclones captured by the
composite tracks). Our results show that composite tracks tend to describe
more intense and longer-lasting cyclones with more distinguished early,
mature and decay stages than the cyclone tracks produced by individual
CDTMs. Ranking the composite tracks according to their confidence level
(defined by the number of contributing CDTMs), it is shown that the higher
the confidence level, the more intense and long-lasting cyclones are
produced. Given the advantage of our methodology in producing cyclone tracks
with physically meaningful and distinctive life stages, we propose composite
tracks as reference datasets for climatological research in the
Mediterranean. The Supplement provides the composite
Mediterranean tracks for all confidence levels, and in the conclusion we
discuss their adequate use for scientific research and applications.
Funder
Stavros Niarchos Foundation Ministerio de Ciencia e Innovación
Publisher
Copernicus GmbH
Subject
Atmospheric Science
Reference44 articles.
1. Aragão, L. and Porcù, F.: Cyclonic activity in the Mediterranean
region from a high-resolution perspective using ECMWF ERA5 dataset, Clim.
Dynam., 58, 1293–1310, https://doi.org/10.1007/s00382-021-05963-x, 2022. 2. Ayrault, F.: Environnement, structure et évolution des dépressions météorologiques : réalité climatologique et modèles types, Ph.D. thesis, Université Paul Sabatier, Toulouse, France, 328 pp., 1998. 3. Blender, R. and Schubert, M.: Cyclone tracking in different spatial and
temporal resolutions, Mon. Weather Rev., 128, 377–384,
https://doi.org/10.1175/1520-0493(2000)128<0377:CTIDSA>2.0.CO;2, 2000. 4. Bourdin, S., Fromang, S., Dulac, W., Cattiaux, J., and Chauvin, F.: Intercomparison of Four Tropical Cyclones Detection Algorithms on ERA5, EGUsphere [preprint], https://doi.org/10.5194/egusphere-2022-179, 2022. 5. Buzzi, A. and Tibaldi, S.: Cyclogenesis in the lee of the Alps: a case
study, Q. J. Roy. Meteor. Soc., 104, 271–287,
https://doi.org/10.1002/qj.49710444004, 1978.
Cited by
10 articles.
订阅此论文施引文献
订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献
|
|