Multi-Sensor Observations of Submesoscale Eddies in Coastal Regions

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 bo...

Full description

Bibliographic Details
Main Authors: Gang Li, Yijun He, Guoqiang Liu, Yingjun Zhang, Chuanmin Hu, William Perrie
Format: Article
Language:English
Published: MDPI AG 2020-02-01
Series:Remote Sensing
Subjects:
Online Access:https://www.mdpi.com/2072-4292/12/4/711
id doaj-f43d4fc2b4dd463d9b8357d80fe92865
record_format Article
spelling doaj-f43d4fc2b4dd463d9b8357d80fe928652020-11-25T02:16:18ZengMDPI AGRemote Sensing2072-42922020-02-0112471110.3390/rs12040711rs12040711Multi-Sensor Observations of Submesoscale Eddies in Coastal RegionsGang Li0Yijun He1Guoqiang Liu2Yingjun Zhang3Chuanmin Hu4William Perrie5School of Marine Sciences, Nanjing University of Information Science and Technology, Nanjing 210044, ChinaSchool of Marine Sciences, Nanjing University of Information Science and Technology, Nanjing 210044, ChinaSchool of Marine Sciences, Nanjing University of Information Science and Technology, Nanjing 210044, ChinaCollege of Marine Science, University of South Florida, St. Petersburg, FL 33701, USACollege of Marine Science, University of South Florida, St. Petersburg, FL 33701, USAFisheries and Oceans Canada, Bedford Institute of Oceanography, Dartmouth, NS B2Y 4A2, CanadaThe 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.https://www.mdpi.com/2072-4292/12/4/711high-frequency radarmodis ocean color patternssubmesoscale eddies
collection DOAJ
language English
format Article
sources DOAJ
author Gang Li
Yijun He
Guoqiang Liu
Yingjun Zhang
Chuanmin Hu
William Perrie
spellingShingle Gang Li
Yijun He
Guoqiang Liu
Yingjun Zhang
Chuanmin Hu
William Perrie
Multi-Sensor Observations of Submesoscale Eddies in Coastal Regions
Remote Sensing
high-frequency radar
modis ocean color patterns
submesoscale eddies
author_facet Gang Li
Yijun He
Guoqiang Liu
Yingjun Zhang
Chuanmin Hu
William Perrie
author_sort Gang Li
title Multi-Sensor Observations of Submesoscale Eddies in Coastal Regions
title_short Multi-Sensor Observations of Submesoscale Eddies in Coastal Regions
title_full Multi-Sensor Observations of Submesoscale Eddies in Coastal Regions
title_fullStr Multi-Sensor Observations of Submesoscale Eddies in Coastal Regions
title_full_unstemmed Multi-Sensor Observations of Submesoscale Eddies in Coastal Regions
title_sort multi-sensor observations of submesoscale eddies in coastal regions
publisher MDPI AG
series Remote Sensing
issn 2072-4292
publishDate 2020-02-01
description 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.
topic high-frequency radar
modis ocean color patterns
submesoscale eddies
url https://www.mdpi.com/2072-4292/12/4/711
work_keys_str_mv AT gangli multisensorobservationsofsubmesoscaleeddiesincoastalregions
AT yijunhe multisensorobservationsofsubmesoscaleeddiesincoastalregions
AT guoqiangliu multisensorobservationsofsubmesoscaleeddiesincoastalregions
AT yingjunzhang multisensorobservationsofsubmesoscaleeddiesincoastalregions
AT chuanminhu multisensorobservationsofsubmesoscaleeddiesincoastalregions
AT williamperrie multisensorobservationsofsubmesoscaleeddiesincoastalregions
_version_ 1724891331612901376