Abstract
Sea surface salinity (SSS) is an important tracer for monitoring the Changjiang Diluted Water (CDW) extension into Korean coastal regions; however, observing the SSS distribution in near real time is a difficult task. In this study, SSS detection algorithm was developed based on the ocean color measurements by Geostationary Ocean Color Imager (GOCI) in high spatial and temporal resolution using multilayer perceptron neural network (MPNN). Among the various combinations of input parameters, combinations with three to six bands of GOCI remote sensing reflectance (Rrs), sea surface temperature (SST), longitude, and latitude were most appropriate for estimating the SSS. According to model validations with the Soil Moisture Active Passive (SMAP) and Ieodo Ocean Research Station (I-ORS) SSS measurements, the coefficient of determination (R2) were 0.81 and 0.92 and the root mean square errors (RMSEs) were 1.30 psu and 0.30 psu, respectively. In addition, a sensitivity analysis revealed the importance of SST and the red-wavelength spectral signal for estimating the SSS. Finally, hourly estimated SSS images were used to illustrate the hourly CDW distribution. With the model developed in this study, the near real-time SSS distribution in the East China Sea (ECS) can be monitored using GOCI and SST data.
Highlights
The Changjiang Diluted Water (CDW) discharge influences the maritime environment, in the East China Sea (ECS), and in Korean coastal regions including the Jeju Island coastal regions (Figure 1) [1,2,3,4,5,6,7,8,9]
Since CDW volume is large during the summer season, the ocean upper layer in ECS is very stably stratified by low sea surface salinity (SSS) and high sea surface temperature (SST)
SST was used as one of input parameter, and the results indicated that the SST was crucial factor to obtain better SSS estimations
Summary
The Changjiang Diluted Water (CDW) discharge influences the maritime environment, in the East China Sea (ECS), and in Korean coastal regions including the Jeju Island coastal regions (Figure 1) [1,2,3,4,5,6,7,8,9]. In the summer of 2016, an anomalously large CDW caused approximately $9 million in economic damage to Korean aquaculture by enhancing the stratification via low SSS and high SST [13] In the ECS, regular SSS observation has been consistently conducted at stationary points, the Ieodo Ocean Research Station (I-ORS) (Figure 1), and the shipboard observation by Korean National Institute of Fisheries Science serial oceanographic observation. Such spatio-temporally limited surveys make it difficult to determine the exact spatial and temporal CDW distribution and its paths
Sign-in/Register to view highlights & summary Talk to us
Join us for a 30 min session where you can share your feedback and ask us any queries you have
Schedule a callDisclaimer: All third-party content on this website/platform is and will remain the property of their respective owners and is provided on "as is" basis without any warranties, express or implied. Use of third-party content does not indicate any affiliation, sponsorship with or endorsement by them. Any references to third-party content is to identify the corresponding services and shall be considered fair use under The CopyrightLaw.
