| dc.creator | Lakkis, Susan Gabriela | |
| dc.creator | Canziani, Pablo O. | |
| dc.creator | Rocamora, Leandro | |
| dc.creator | Caferri, Agustin | |
| dc.creator | Yuchechen, Adrián | |
| dc.creator | Hodges, Kevin | |
| dc.creator | O'Neill, Alan | |
| dc.date | 2019-11-11T15:53:17Z | |
| dc.date | 2019-11-11T15:53:17Z | |
| dc.date | 2018 | |
| dc.identifier | Lakkis, S G. Canziani, P. Rocamora, L. Caferri, A. Yuchechen, A. Hodges, K. O'Neill, A. A 4D feature-tracking algorithm : A multidimensional view of cyclone systems [en línea]. Postprint del artículo publicado en Quarterly Journal of the Royal Meteorological Society. 2018, 145 (719). doy: 10.1002/qj.3436. Diponible en: https://repositorio.uca.edu.ar/handle/123456789/9007 | |
| dc.identifier | 1477-870X | |
| dc.identifier | https://repositorio.uca.edu.ar/handle/123456789/9007 | |
| dc.identifier | 10.1002/qj.3436 | |
| dc.description | Abstrac: An objective four-dimensional (4D) algorithm developed to track extratropical
relative vorticity anomaly 3D structure over time is introduced and validated.
The STACKER algorithm, structured with the TRACKER single-level tracking
algorithm as source of the single-level raw tracks, objectively combines tracks from
various levels to determine the 3D structure of the cyclone (or anticyclone) events
throughout their life cycle. STACKER works progressively, beginning with two
initial levels and then adding additional levels to the stack in a bottom-up and/or
top-down approach. This allows an iterative stacking approach, adding one level at a
time, resulting in an optimized 4D determination of relative vorticity anomaly events.
A two-stage validation process is carried out with the ECMWF reanalysis
ERA-Interim dataset for the 2015 austral winter. First the overall tracking capability
during an austral winter, taking into account a set of climate indicators and their
impacts on Southern Hemisphere circulation, was compared to previous climatologies,
in order to verify the density and distribution of the cyclone events detected by
STACKER. Results show the cyclone density distribution is in very good agreement
with previous climatologies, after taking into account potential differences due to
climate variability and different tracking methodologies. The second stage focuses
on three different long-lived events over the Southern Hemisphere during the winter
of 2015, spanning seven different pressure levels. Both GOES satellite imagery,
infrared and water vapour channels, and ERA-Interim cloud cover products are used
in order to validate the tracks obtained as well as the algorithm’s capability and reliability.
The observed 3D cyclone structures and their time evolution are consistent
with current understanding of cyclone system development. Thus, the two-stage validation
confirms that the algorithm is suitable to track multilevel events, and can
follow and analyse their 3D life cycle and develop full 3D climatologies and climate
variability studies. | |
| dc.format | application/pdf | |
| dc.language | eng | |
| dc.publisher | John Wiley & Sons | |
| dc.rights | Acceso abierto. 2 años de embargo | |
| dc.rights | http://creativecommons.org/licenses/by-nc-sa/4.0/ | |
| dc.source | Postprint del artículo publicado en Quarterly Journal of the Royal Meteorological Society. vol.145, no.719, 2018 | |
| dc.subject | PROGRAMACION DINAMICA | |
| dc.subject | ALGORITMOS | |
| dc.subject | CLIMATOLOGIA | |
| dc.subject | CICLONES | |
| dc.subject | METEREOLOGIA | |
| dc.title | A 4D feature-tracking algorithm : a multidimensional view of cyclone systems | |
| dc.type | Artículo | |
