JpGU-AGU Joint Meeting 2017

講演情報

[EE] 口頭発表

セッション記号 A (大気水圏科学) » A-OS 海洋科学・海洋環境

[A-OS13] [EE] 陸域海洋相互作用

2017年5月23日(火) 13:45 〜 15:15 302 (国際会議場 3F)

コンビーナ:山敷 庸亮(京都大学大学院総合生存学館)、升本 順夫(東京大学大学院理学系研究科)、Behera Swadhin(Climate Variation Predictability and Applicability Research Group, Application Laboratory, JAMSTEC, 3173-25 Showa-machi, Yokohama 236-0001)、宮澤 泰正(独立行政法人海洋研究開発機構)、座長:升本 順夫(東京大学大学院理学系研究科)、座長:Swadhin Behera(海洋研究開発機構)

14:00 〜 14:15

[AOS13-02] Near-Surface Salinity Stratification from Satellite SSS Observations and Numerical Models

*Y Tony Song1 (1.NASA Jet Propulsion Laboratory)

キーワード:Satellite observation , Sea surface salinity, River runoff

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.