ANALYSIS OF SUB-MESOSCALE EDDIES IN THE BALTIC SEA BASED ON SAR IMAGERY AND MODEL WIND DATA

被引：0

作者：

Karimova, Svetlana ^{[1
]}

Gade, Martin ^{[2
]}

机构：

[1] Helmholtz Zentrum Geesthacht, Inst Kustenforsch, Max Planck Str 1, D-21502 Geesthacht, Germany

[2] Univ Hamburg UHH, Inst Meereskunde, Hamburg, Germany

来源：

2015 IEEE INTERNATIONAL GEOSCIENCE AND REMOTE SENSING SYMPOSIUM (IGARSS) | 2015年

关键词：

SAR; sub-mesoscale eddies; spiral eddies; eddy statistics; Baltic Sea;

D O I：

暂无

中图分类号：

TM [电工技术]; TN [电子技术、通信技术];

学科分类号：

0808 ; 0809 ;

摘要：

We discuss the spatio-temporal distribution of sub-mesoscale eddies seen in synthetic aperture radar (SAR) imagery of the Baltic Sea. Analyzing about 1250 Envisat Advanced SAR (ASAR) images acquired between 2009 and 2011 almost 7000 sub-mesoscale eddies were discovered. Since the visibility of vortical structures in SAR imagery significantly depends on the near-surface wind speed, wind data from a numerical model of the Baltic Sea were additionally used to improve our eddy statistics. Within the method proposed herein only those parts of SAR images are considered for the calculation of eddy statistics, which were acquired when the wind speed conditions were favorable for eddy manifestations. As a result, and despite the fact that eddies were generally observed all over the Baltic Sea, we show that the south-western part of the Baltic Sea seems to have especially high sub-mesoscale eddy activity.

引用

页码：1227 / 1230

页数：4

共 50 条

[21] Model analysis of the currents and wind waves in the Vistula Lagoon of the Baltic Sea
Chubarenko, B. V.
Leitsina, L. V.
Esiukova, E. E.
Kurennoy, D. N.
OCEANOLOGY, 2012, 52 (06) : 748 - 753
[22] Detection and Identification of Mesoscale Eddies in the South China Sea Based on an Artificial Neural Network Model-YOLOF and Remotely Sensed Data
Cao, Lingjuan
Zhang, Dianjun
Zhang, Xuefeng
Guo, Quan
REMOTE SENSING, 2022, 14 (21)
[23] Simulations of the climatological wind field in the Baltic Sea area using a mesoscale higher-order closure model
Sandstrom, S
JOURNAL OF APPLIED METEOROLOGY, 1997, 36 (11): : 1541 - 1552
[24] Fractal analysis and validation of a sea-surface fractal model for SAR imagery
Berizzi, F
Gamba, P
Garzelli, A
Monorchio, A
REMOTE SENSING FOR EARTH SCIENCE, OCEAN, AND SEA ICE APPLICATIONS, 1999, 3868 : 612 - 621
[25] A method for sea ice thickness and concentration analysis based on SAR data and a thermodynamic model
Karvonen, J.
Cheng, B.
Vihma, T.
Arkett, M.
Carrieres, T.
CRYOSPHERE, 2012, 6 (06): : 1507 - 1526
[26] Comparative Evaluation of Sea Ice Lead Detection Based on SAR Imagery and Altimeter Data
Longepe, Nicolas
Thibaut, Pierre
Vadaine, Rodolphe
Poisson, Jean-Christophe
Guillot, Amandine
Boy, Francois
Picot, Nicolas
Borde, Franck
IEEE TRANSACTIONS ON GEOSCIENCE AND REMOTE SENSING, 2019, 57 (06): : 4050 - 4061
[27] Learning-Based Emulation of Sea Surface Wind Fields From Numerical Model Outputs and SAR Data
He, Liyun
Fablet, Ronan
Chapron, Bertrand
Tournadre, Jean
IEEE JOURNAL OF SELECTED TOPICS IN APPLIED EARTH OBSERVATIONS AND REMOTE SENSING, 2015, 8 (10) : 4742 - 4750
[28] A Hurricane Morphology and Sea Surface Wind Vector Estimation Model Based on C-Band Cross-Polarization SAR Imagery
Zhang, Guosheng
Perrie, William
Li, Xiaofeng
Zhang, Jun A.
IEEE TRANSACTIONS ON GEOSCIENCE AND REMOTE SENSING, 2017, 55 (03): : 1743 - 1751
[29] Three-dimensional properties of mesoscale eddies in the South China Sea based on eddy-resolving model output
Lin, Xiayan
Dong, Changming
Chen, Dake
Liu, Yu
Yang, Jingsong
Zou, Bin
Guan, Yuping
DEEP-SEA RESEARCH PART I-OCEANOGRAPHIC RESEARCH PAPERS, 2015, 99 : 46 - 64
[30] Eddies in the North Greenland Sea and Fram Strait From Satellite Altimetry, SAR and High-Resolution Model Data
Bashmachnikov, Igor L.
Kozlov, Igor E.
Petrenko, Larisa A.
Glok, Natalia, I
Wekerle, Claudia
JOURNAL OF GEOPHYSICAL RESEARCH-OCEANS, 2020, 125 (07)

← 1 2 3 4 5 →