Volume 5,Issue 2
Fall 204
Editorial
I am very pleased to report seven high-quality research papers published in Satellite Oceanography and Meteorology (Volume 2, Issue 2), with two papers on methodologies and applications of satellite remote sensing data (Xie et al., 2017; Yang et al., 2017). Xie et al. (2017) examined the electromagnetic multi-reflection and transmission coefficients of floating sea ice, and suggested a conceptional model for the capability of synthetic aperture radar for the discrimination of sea ice and water. Yang et al. (2017) examined performances of three different algorithms for retrieving seagrass distributions in Swan Lake from the satellite remote sensing data.
1. Fissel D B, Lin Y, Scoon A, et al. (2017). The variability of the sediment plume and ocean circulation features of the Nass River Estuary, British Columbia. Satellite Oceanography and Meteorology, 2: 316. DOI: [10.18063/SOM.v2i2.316](http://dx.doi.org/10.18063/SOM.v2i2.316)
2. Lu Y, Li J, Lei J, et al. (2017). Impacts of model resolution on simulation of meso-scale eddies in the Northeast Pacific Ocean. Satellite Oceanography and Meteorology, 2: 328. DOI: [10.18063/SOM.v2i2.328](http://dx.doi.org/10.18063/SOM.v2i2.328)
3. Sui Y, Sheng J, Ohashi K, et al. (2017). Circulation, dispersion and hydrodynamic connectivity over the Scotian Shelf and adjacent waters. Satellite Oceanography and Meteorology, 2: 321. DOI: [10.18063/SOM.v2i2.321](http://dx.doi.org/10.18063/SOM.v2i2.321)
4. Xie T, Zhao L, Perrie W, et al. (2017). The sea-ice detection capability of synthetic aperture radar. Satellite Oceanography and Meteorology, 2: 261. DOI: [10.18063/SOM.v2i2.261](http://dx.doi.org/10.18063/SOM.v2i2.261)
5. Yang D, Yin X, Zhou L. (2017). Seagrass distribution changes in Swan Lake of Shandong Peninsula from 1979 to 2009 inferred from satellite remote sensing data. Satellite Oceanography and Meteorology, 2.
6. Zhai X. (2017). The annual cycle of surface eddy kinetic energy and its influence on eddy momentum fluxes as inferred from altimeter data. Satellite Oceanography and Meteorology, 2: 299. DOI: [10.18063/SOM.v2i2.299](http://dx.doi.org/10.18063/SOM.v2i2.299)
7. Zhang G J, Wang M. (2017). Using CloudSat observations to evaluate cloud top heights from convection parameterization. Satellite Oceanography and Meteorology, 2: 298. DOI: [10.18063/SOM.v2i2.298](http://dx.doi.org/10.18063/SOM.v2i2.298)