Journal of Tropical Oceanography ›› 2021, Vol. 40 ›› Issue (2): 17-26.doi: 10.11978/2020059CSTR: 32234.14.2020059

Special Issue: 海洋大数据及应用

• Marine Physics • Previous Articles     Next Articles

Comparative analysis of four global ocean water vapor data products*

CAI Yinan1,2(), DU Yan1,2,3(), CHEN Zesheng1,3   

  1. 1. State Key Laboratory of Tropical Oceanography (South China Sea Institute of Oceanology, Chinese Academy of Sciences), Guangzhou 510301, China
    2. University of Chinese Academy of Sciences, Beijing 100049, China
    3. Southern Marine Science and Engineering Guangdong Laboratory, Guangzhou 510301, China
  • Received:2020-05-29 Revised:2020-07-22 Online:2021-03-10 Published:2020-08-20
  • Contact: DU Yan E-mail:caiyinan@scsio.ac.cn;duyan@scsio.ac.cn
  • Supported by:
    National Natural Science Foundation of China(41830538);National Natural Science Foundation of China(41525019);Chinese Academy of Sciences(XDA15020901);Chinese Academy of Sciences(133244KYSB20190031);Chinese Academy of Sciences(ZDRW-XH-2019-2);State Oceanic Administration of China(GASI-IPOVAI-02);Southern Marine Science and Engineering Guangdong Laboratory (Guangzhou)(GML2019ZD0303);Southern Marine Science and Engineering Guangdong Laboratory (Guangzhou)(2019BT2H594);Southern Marine Science and Engineering Guangdong Laboratory (Guangzhou)(GML2019ZD0306)

Abstract:

We compare four observations and reanalysis datasets (SSM/I&SSMIS, RSS V7R01, ERA5, and MERRA-2) in terms of climate states of global water vapor. The variation and long-term trend of total column water vapor (TCWV) of different scales are also explored. The results indicate that the spatial distribution, seasonal cycle and interannual variability of the four datasets are consistent. From 1988 to 2018, the TCWV had an increasing trend in the tropical oceans. The interannual changes of the TCWV are significant and highly correlated with the El Ni?o-Southern Oscillation (ENSO). The datasets of ERA5 and MERRA-2 should be used with caution when analyzing TCWV trend in a short period (e.g., 1991—1997). When studying the long-term water vapor trend in the tropical regions, MERRA-2 data should be used carefully because the long-term trend is different from other datasets.

Key words: total column water vapor, SSM/I&SSMIS, RSS, ERA5, MERRA-2

CLC Number: 

  • P733