Temperature Spatiotemporal Correlation Scales in the Brazil-Malvinas Confluence from High-Resolution In Situ and Remote Sensing Data

Temperature Spatiotemporal Correlation Scales in the Brazil-Malvinas Confluence from High-Resolution In Situ and Remote Sensing Data

10 pages, 5 figures, supporting information https://doi.org/10.1029/2019GL084246.-- In situ SeaSoar data are available for download at Pelegrí et al. (2019; https://digital.csic.es/handle/10261/188363). Satellite SST and altimetry data are available at Copernicus Marine Environment monitoring service (CMEMS; http://marine.copernicus.eu/)

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Main Authors: Orúe-Echevarría, Dorleta, Castellanos, Paola, Sans, Joel, Emelianov, Mikhail, Vallès Casanova, Ignasi Berenguer, Pelegrí, Josep Lluís
Other Authors: Agencia Estatal de Investigación (España)
Format: artículo biblioteca
Published: American Geophysical Union 2019-11
Online Access:http://hdl.handle.net/10261/197632
http://dx.doi.org/10.13039/501100011033
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spelling dig-icm-es-10261-1976322022-06-15T12:38:05Z Temperature Spatiotemporal Correlation Scales in the Brazil-Malvinas Confluence from High-Resolution In Situ and Remote Sensing Data Orúe-Echevarría, Dorleta Castellanos, Paola Sans, Joel Emelianov, Mikhail Vallès Casanova, Ignasi Berenguer Pelegrí, Josep Lluís Agencia Estatal de Investigación (España) Ministerio de Ciencia, Innovación y Universidades (España) 10 pages, 5 figures, supporting information https://doi.org/10.1029/2019GL084246.-- In situ SeaSoar data are available for download at Pelegrí et al. (2019; https://digital.csic.es/handle/10261/188363). Satellite SST and altimetry data are available at Copernicus Marine Environment monitoring service (CMEMS; http://marine.copernicus.eu/) Ocean frontal systems may act both as barriers and mixers between different water masses, the latter thanks to very energetic structures with relatively short temporal and spatial scales. Here, we explore the high‐frequency temperature variability in the Brazil‐Malvinas Confluence through the joint analysis of novel high‐resolution SeaSoar measurements and sea surface temperature imagery. Surface spatiotemporal correlation scales range between 1.5 and 6 days and between 20 and 50 km, with the shortest scales along the shelf‐break path of the Brazil Current and over the confluence and the longest ones along the Malvinas Current. The spatial scales display minima along the front, at the surface because of the presence of brackish shelf waters and at the subsurface due to both mesoscale and submesoscale thermohaline intrusions. The smallest cross‐frontal vertical correlations, in the 5‐ to 10‐m range, are associated with submesoscale processes. Overall, temperature variability is enhanced at depth in the frontal system We acknowledge funding from the Spanish Government through projects VA‐DE‐RETRO (CTM2014‐56987‐P) and SAGA (RTI2018‐100844‐B‐C33). D. O. E. was funded through an FPU contract and I. V. C. through and FPI contract Peer Reviewed 2020-01-10T12:08:36Z 2020-01-10T12:08:36Z 2019-11 2020-01-10T12:08:37Z artículo http://purl.org/coar/resource_type/c_6501 issn: 0094-8276 e-issn: 1944-8007 Geophysical Research Letters 46(22): 13234-13243 (2019) http://hdl.handle.net/10261/197632 10.1029/2019GL084246 http://dx.doi.org/10.13039/501100011033 #PLACEHOLDER_PARENT_METADATA_VALUE# #PLACEHOLDER_PARENT_METADATA_VALUE# info:eu-repo/grantAgreement/AEI/Plan Estatal de Investigación Científica y Técnica y de Innovación 2017-2020/RTI2018-100844-B-C33 RTI2018-100844-B-C33/AEI/10.13039/501100011033 https://doi.org/10.1029/2019GL084246 Sí open American Geophysical Union
institution ICM ES
collection DSpace
country España
countrycode ES
component Bibliográfico
access En linea
databasecode dig-icm-es
tag biblioteca
region Europa del Sur
libraryname Biblioteca del ICM España
description 10 pages, 5 figures, supporting information https://doi.org/10.1029/2019GL084246.-- In situ SeaSoar data are available for download at Pelegrí et al. (2019; https://digital.csic.es/handle/10261/188363). Satellite SST and altimetry data are available at Copernicus Marine Environment monitoring service (CMEMS; http://marine.copernicus.eu/)
author2 Agencia Estatal de Investigación (España)
author_facet Agencia Estatal de Investigación (España)
Orúe-Echevarría, Dorleta
Castellanos, Paola
Sans, Joel
Emelianov, Mikhail
Vallès Casanova, Ignasi Berenguer
Pelegrí, Josep Lluís
format artículo
author Orúe-Echevarría, Dorleta
Castellanos, Paola
Sans, Joel
Emelianov, Mikhail
Vallès Casanova, Ignasi Berenguer
Pelegrí, Josep Lluís
spellingShingle Orúe-Echevarría, Dorleta
Castellanos, Paola
Sans, Joel
Emelianov, Mikhail
Vallès Casanova, Ignasi Berenguer
Pelegrí, Josep Lluís
Temperature Spatiotemporal Correlation Scales in the Brazil-Malvinas Confluence from High-Resolution In Situ and Remote Sensing Data
author_sort Orúe-Echevarría, Dorleta
title Temperature Spatiotemporal Correlation Scales in the Brazil-Malvinas Confluence from High-Resolution In Situ and Remote Sensing Data
title_short Temperature Spatiotemporal Correlation Scales in the Brazil-Malvinas Confluence from High-Resolution In Situ and Remote Sensing Data
title_full Temperature Spatiotemporal Correlation Scales in the Brazil-Malvinas Confluence from High-Resolution In Situ and Remote Sensing Data
title_fullStr Temperature Spatiotemporal Correlation Scales in the Brazil-Malvinas Confluence from High-Resolution In Situ and Remote Sensing Data
title_full_unstemmed Temperature Spatiotemporal Correlation Scales in the Brazil-Malvinas Confluence from High-Resolution In Situ and Remote Sensing Data
title_sort temperature spatiotemporal correlation scales in the brazil-malvinas confluence from high-resolution in situ and remote sensing data
publisher American Geophysical Union
publishDate 2019-11
url http://hdl.handle.net/10261/197632
http://dx.doi.org/10.13039/501100011033
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