FN Archimer Export Format
PT J
TI Studies of Sub-Mesoscale Variability of the Ocean Upper Layer Based on Satellite Observations Data
BT 
AF Chapron, Bertrand
   Kudryavtsev, V. N.
   Collard, Fabrice
   Rascle, Nicolas
   Kubryakov, A. A.
   Stanichny, S. V.
AS 1:1,2;2:2,3;3:4;4:5;5:3;6:3;
FF 1:PDG-ODE-LOPS-SIAM;2:;3:;4:;5:;6:;
C1 Institute Francais de Recherche pour I’Exploitation de la Mer, Plouzané, France
   Russian State Hydrometeorological University, Saint-Petersburg, Russian Federation
   Marine Hydrophysical Institute of RAS, Sevastopol, Russian Federation
   OceanDataLab, Locmaria-Plouzané, France
   Centro de Investigación Científica y de Educación Superior de Ensenada, Baja California, México
C2 IFREMER, FRANCE
   UNIV RUSSIAN STATE HYDROMETEOROL, RUSSIA
   RUSSIAN ACAD SCI, RUSSIA
   OCEANDATALAB, FRANCE
   CICESE, MEXICO
SI BREST
SE PDG-ODE-LOPS-SIAM
UM LOPS
IN WOS Ifremer UMR
   DOAJ
   copubli-france
   copubli-int-hors-europe
   copubli-sud
TC 4
UR https://archimer.ifremer.fr/doc/00682/79420/82002.pdf
LA English
DT Article
DE ;satellite observations;air-sea interaction;ocean upper layer dynamics;temporal and spatial variability
AB Purpose. The approach represented in the article is applied to analysis of satellite scanner optical images of high spatial resolution for identifying and quantitative determining the characteristics of the sub-mesoscale dynamic processes in the ocean upper layer. Methods and Results. The Envisat AATSR and MERIS SAR-images are used as the satellite data, which permit to determine the ocean surface temperature and surface brightness in the visible range, respectively. Variations in the sea surface glitter contrasts are associated with modulations of the sea surface roughness (rms slope of short waves) on the currents. It is shown that the surface roughness contrasts correlate with the spatial inhomogeneities of the ocean surface temperature, tracing sub-mesoscale processes in the ocean (spiral eddies, filaments, local shears of currents). The described model of formation of surface manifestations is based on interaction between the Ekman current and the main flow vorticity. Conclusions. Possibility of detecting and quantitative assessing the intense current gradients in the vicinity of sub-mesoscale fronts is shown. These gradients are manifested in the optical satellite images through the ocean surface roughness modulations. The proposed approach makes it possible to study and to assess quantitatively the dynamic processes taking place in the vicinity of the sub-mesoscale fronts. These processes, in their turn, affect the exchange of momentum, heat and gases between the ocean and the atmosphere. The prospects of applying the sub-mesoscale variability defined from the satellite measurements, to development of the models and the systems for the ocean global observations and monitoring are discussed. 
PY 2020
SO Physical Oceanography
SN 0928-5105
PU FSBSI MHI
VL 27
IS 6
UT 000618843800004
BP 619
EP 630
DI 10.22449/1573-160X-2020-6-619-630
ID 79420
ER

EF