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Spatiotemporal characteristics of sea surface salinity of Indian and Pacific Oceans

  • role： First author第一作者
  • Affiliation：

    Key Laboratory of Digital Earth Science, Aerospace Information Research Institute, Chinese Academy of Sciences, Beijing 100094, China

    University of the Chinese Academy of Sciences, Beijing 100049, China

  • Email：liyy@radi.ac.cn
  • Introduction：李艳艳，1990年生,女,博士研究生, 研究方向为海洋遥感、海表盐度反演。E-mail: liyy@radi.ac.cn
LI Yanyan12,  
  • role： Corresponding author通信作者
  • Affiliation：

    Key Laboratory of Digital Earth Science, Aerospace Information Research Institute, Chinese Academy of Sciences, Beijing 100094, China

  • Email：qdong@radi.ac.cn
  • Introduction：董庆，1965年生,男, 研究员, 研究方向为海洋遥感。E-mail: qdong@radi.ac.cn
DONG Qing1*,  
  • Affiliation：

    Key Laboratory of Digital Earth Science, Aerospace Information Research Institute, Chinese Academy of Sciences, Beijing 100094, China

    Hainan Key Laboratory of Earth Observation, Sanya 572029, China

REN Yongzheng13,  
  • Affiliation：

    Key Laboratory of Digital Earth Science, Aerospace Information Research Institute, Chinese Academy of Sciences, Beijing 100094, China

    University of the Chinese Academy of Sciences, Beijing 100049, China

KONG Fanping12,  
  • Affiliation：

    Key Laboratory of Digital Earth Science, Aerospace Information Research Institute, Chinese Academy of Sciences, Beijing 100094, China

    University of the Chinese Academy of Sciences, Beijing 100049, China

YIN Zi12

Resümee

Sea Surface Salinity (SSS) is a key element of marine dynamic environment that plays an important role in many sea gas interactions and ocean processes. At present, large-scale analysis of Indian and Pacific Oceans are limited and the majority of investigations are based on in situ observation or reanalysis data. As an SSS observation satellite, Aquarius has a unique advantage in analyzing the characteristics of SSS distribution. Therefore, this study aims to analyze distribution characteristics of surface salinity in the Indian and Pacific Oceans based on Aquarius and Argo data.New high-accuracy monthly 0.25° × 0.25° gridded SSS fields were first generated using dual quality-distance weighting method based on Aquarius L2 orbital SSS data to reduce the influence of observation data error on the analysis results. SSS distribution characteristics of Indian and Pacific Oceans are analyzed on the basis of these new and gridded Argo SSS fields.The analysis results showed that low SSS values are obtained in low and high latitudes and high SSS values are achieved in the middle latitude. The latitude in which the average SSS reaches the maximum value has no evident change with month, while the month in which the average SSS reaches the maximum value in each latitude line is estimated to be symmetrical with the equator and June as the center. A high-salinity zone exists in each midlatitude of North and South Pacific as well as southern Indian Oceans. Arabian Sea in the northern Indian Ocean is also a high-salinity area. The Bay of Bengal in the northern Indian Ocean and the tropical Pacific are low-salinity areas. Although an atypical region, SSS rangeability of the area near the land of southeastern China is very high. The periodic change of SSS in this area has a certain impact on the frequency and intensity of storm surge in the southeastern coast of China. The analysis results between Aquarius SSS and Argo SSS are similar, except for a few differences. One typical difference is an evident coalescence zone along the latitude of 8°N in the Pacific Ocean according to Aquarius SSS fields but is missing according to Argo SSS fields.Therefore, SSS values have clear correlations with latitude. Four high-salt areas and four low-salt areas are observed in this region, and each region is characterized with different change trends and amplitudes. Mutual responses are observed among these areas.

Schlüsselwort

remote sensing;sea surface salinity;spatiotemporal characteristics;Indian Ocean;Pacific Ocean;Aquarius;Argo

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