Near-Surface Salinity Stratification from Satellite SSS Observations and an Advanced Ocean Model

Y Tony Song1, Tong Lee1, Jae-Hong Moon2, Tangdong Qu3 and Simon H Yueh4, (1)NASA Jet Propulsion Laboratory, Pasadena, CA, United States, (2)Jeju National University, Jeju, South Korea, (3)University of Hawaii at Manoa, Honolulu, HI, United States, (4)Jet Propulsion Laboratory, California Institute of Technology, Pasadena, United States
Abstract:
Using a recently developed ESSL (extended surface-salinity layer) model [Song et al., JGR, 2013], we have examined the near-surface salinity stratifications with emphasis on understanding of the dynamical processes that differ from one region to another. It is shown that the seasonal SSS variability at skin layer differs/agrees regionally in their amplitude from/with Argo-measured salinity at 5 m depth and model salinity at the top layer, indicating various characteristics of near-surface salinity stratifications. Our model-data comparisons show that for regions with river runoff and/or surface freshwater, significant differences due to near-surface stratification can be found between the Aquarius, Argo and model. Differently for well-mixed regions, like the southern Arabian Sea due to seasonally reversing currents driven by monsoons, the surface water can be mixed down quickly to the depth of 5 m, resulting in an agreement among the datasets. The modeling study suggests that dynamical differences can lead to different vertical salinity stratifications locally.