Submesoscale processes and mixing

2022 ◽  
pp. 181-214
Author(s):  
Jonathan Gula ◽  
John Taylor ◽  
Andrey Shcherbina ◽  
Amala Mahadevan
2020 ◽  
Vol 125 (11) ◽  
Author(s):  
Dafydd Gwyn Evans ◽  
Eleanor Frajka‐Williams ◽  
Alberto C. Naveira Garabato ◽  
Kurt L. Polzin ◽  
Alexander Forryan

2017 ◽  
Vol 67 (3-4) ◽  
pp. 513-533 ◽  
Author(s):  
Anne A. Petrenko ◽  
Andrea M. Doglioli ◽  
Francesco Nencioli ◽  
Marion Kersalé ◽  
Ziyuan Hu ◽  
...  

2018 ◽  
Vol 68 (8) ◽  
pp. 1067-1069
Author(s):  
Alexander Barth ◽  
Amala Mahadevan ◽  
Ananda Pascual ◽  
Simon Ruiz ◽  
Charles Troupin

2017 ◽  
Vol 67 (9) ◽  
pp. 1217-1230 ◽  
Author(s):  
Juan G. C. Pérez ◽  
Paulo H. R. Calil

Ocean Science ◽  
2021 ◽  
Vol 17 (3) ◽  
pp. 849-870
Author(s):  
Xabier Davila ◽  
Anna Rubio ◽  
Luis Felipe Artigas ◽  
Ingrid Puillat ◽  
Ivan Manso-Narvarte ◽  
...  

Abstract. Submesoscale processes have a determinant role in the dynamics of oceans by transporting momentum, heat, mass, and particles. Furthermore, they can define niches where different phytoplankton species flourish and accumulate not only by nutrient provisioning but also by modifying the water column structure or active gathering through advection. In coastal areas, however, submesoscale oceanic processes act together with coastal ones, and their effect on phytoplankton distribution is not straightforward. The present study brings the relevance of hydrodynamic variables, such as vorticity, into consideration in the study of phytoplankton distribution, via the analysis of in situ and remote multidisciplinary data. In situ data were obtained during the ETOILE oceanographic cruise, which surveyed the Capbreton Canyon area in the southeastern part of the Bay of Biscay in early August 2017. The main objective of this cruise was to describe the link between the occurrence and distribution of phytoplankton spectral groups and mesoscale to submesoscale ocean processes. In situ discrete hydrographic measurements and multi-spectral chlorophyll a (chl a) fluorescence profiles were obtained in selected stations, while temperature, conductivity, and in vivo chl a fluorescence were also continuously recorded at the surface. On top of these data, remote sensing data available for this area, such as high-frequency radar and satellite data, were also processed and analysed. From the joint analysis of these observations, we discuss the relative importance and effects of several environmental factors on phytoplankton spectral group distribution above and below the pycnocline and at the deep chlorophyll maximum (DCM) by performing a set of generalized additive models (GAMs). Overall, salinity is the most important parameter modulating not only total chl a but also the contribution of the two dominant spectral groups of phytoplankton, brown and green algae groups. However, at the DCM, among the measured variables, vorticity is the main modulating environmental factor for phytoplankton distribution and explains 19.30 % of the variance. Since the observed distribution of chl a within the DCM cannot be statistically explained without the vorticity, this research sheds light on the impact of the dynamic variables in the distribution of spectral groups at high spatial resolution.


2020 ◽  
Vol 12 (4) ◽  
pp. 711
Author(s):  
Gang Li ◽  
Yijun He ◽  
Guoqiang Liu ◽  
Yingjun Zhang ◽  
Chuanmin Hu ◽  
...  

The temporal and spatial variation in submesoscale eddies in the coastal region of Lianyungang (China) is studied over a period of nearly two years with high-resolution (0.03°, about 3 km) observations of surface currents derived from high-frequency coastal radars (HFRs). The centers and boundaries of submesoscale eddies are identified based on a vector geometry (VG) method. A color index (CI) representing MODIS ocean color patterns with a resolution of 500 m is used to compute CI gradient parameters, from which submesoscale features are extracted using a modified eddy-extraction approach. The results show that surface currents derived from HFRs and the CI-derived gradient parameters have the ability to capture submesoscale processes (SPs). The typical radius of an eddy in this region is 2–4 km. Although no significant difference in eddy properties is observed between the HFR-derived current fields and CI-derived gradient parameters, the CI-derived gradient parameters show more detailed eddy structures due to a higher resolution. In general, the HFR-derived current fields capture the eddy form, evolution and dissipation. Meanwhile, the CI-derived gradient parameters show more SPs and fill a gap left by the HFR-derived currents. This study shows that the HFR and CI products have the ability to detect SPs in the ocean and contribute to SP analyses.


2019 ◽  
Vol 11 (12) ◽  
pp. 4066-4094 ◽  
Author(s):  
Christian E. Buckingham ◽  
Natasha S. Lucas ◽  
Stephen E. Belcher ◽  
Tom P. Rippeth ◽  
Alan L. M. Grant ◽  
...  

Eos ◽  
2008 ◽  
Vol 89 (48) ◽  
pp. 488-488 ◽  
Author(s):  
Lee-Lueng Fu ◽  
Raffaele Ferrari

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