四种全球大洋水汽数据产品的比较分析*

doi:10.11978/2020059

热带海洋学报 ›› 2021, Vol. 40 ›› Issue (2): 17-26.doi: 10.11978/2020059CSTR: 32234.14.2020059

所属专题：海洋大数据及应用

四种全球大洋水汽数据产品的比较分析^*

蔡逸男^1,²(), 杜岩^1,^2,³(), 陈泽生^1,³

1.热带海洋环境国家重点实验室(中国科学院南海海洋研究所), 广东广州 510301
2.中国科学院大学, 北京 100049
3.南方海洋科学与工程广东省实验室(广州), 广东广州 510301

收稿日期:2020-05-29 修回日期:2020-07-22 出版日期:2021-03-10 发布日期:2020-08-20
通讯作者: 杜岩
作者简介:蔡逸男(1995—), 女, 浙江省台州市人, 博士研究生, 主要从事海洋水循环研究。email: caiyinan@scsio.ac.cn
基金资助:
国家自然科学基金(41830538);国家自然科学基金(41525019);中国科学院院项目(XDA15020901);中国科学院院项目(133244KYSB20190031);中国科学院院项目(ZDRW-XH-2019-2);国家海洋局“全球变化与海气相互作用”专项(GASI-IPOVAI-02);南方海洋科学与工程广东省实验室(广州)人才团队引进重大专项(GML2019ZD0303);南方海洋科学与工程广东省实验室(广州)人才团队引进重大专项(2019BT2H594);南方海洋科学与工程广东省实验室(广州)人才团队引进重大专项(GML2019ZD0306)

Comparative analysis of four global ocean water vapor data products^*

CAI Yinan^1,²(), DU Yan^1,^2,³(), CHEN Zesheng^1,³

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
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)

摘要/Abstract

摘要：

文章比较了卫星专用传感器微波成像仪/探测仪(SSM/I&SSMIS)、遥感系统数据集(RSS V7R01)、欧洲中期天气预报中心第5代再分析数据(ERA5)和现代回顾分析的研究与应用第2版数据(MERRA-2) 4种观测和再分析资料在刻画全球大洋水汽气候态中的异同点, 初步探究了不同尺度的大气柱水汽总量(TCWV)的变化特征和长期趋势。研究结果表明, 4种数据TCWV的空间分布、季节和年际变化较为一致。从1988至2018年, TCWV总体呈增加趋势, 其中热带海洋的年际变化显著, 增加趋势较强, 且和厄尔尼诺-南方涛动(ENSO)高度相关。利用再分析数据做短时间(如1991—1997年)的TCWV趋势分析时要慎重使用ERA5和MERRA-2的数据。在研究热带区域长期水汽变化趋势时, 需谨慎使用MERRA-2的数据。

关键词: 大气柱水汽总量, 卫星专用传感器微波成像仪/探测仪, 遥感系统数据集, 欧洲中期天气预报中心第5代再分析数据, 现代回顾分析的研究与应用第2版数据

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

中图分类号:

P733

蔡逸男, 杜岩, 陈泽生. 四种全球大洋水汽数据产品的比较分析^*[J]. 热带海洋学报, 2021, 40(2): 17-26.

CAI Yinan, DU Yan, CHEN Zesheng. Comparative analysis of four global ocean water vapor data products^*[J]. Journal of Tropical Oceanography, 2021, 40(2): 17-26.

图/表 10

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TCWV数据	SSM/I&SSMIS	RSS V7R01	ERA5	MERRA-2
时间	天、3天、周、月	月	小时、月	小时、3小时、天、月
空间分辨率	0.25°×0.25°	1°×1°	0.25°×0.25°	0.625°×0.5°
覆盖时间	1987.07—至今	1988.01—至今	1979.01—至今	1979.01—至今
覆盖空间	90°N—90°S、 180°W—180°E, 海洋	60°N—60°S、 180°W—180°E, 海洋	90°N—90°S、 180°W—180°E, 全球	90°N—90°S、 180°W—180°E, 全球
数据来源/ 同化方案	SSM/I (F08~F15)、SSMIS (F16~F17)	SSM/I (F08~F15)、SSMIS (F16~F17)、AMSR-E、AMSR-2和WindSat	欧洲中期天气预报综合预报系统(ECMWF-IFS, CY41R2)的4维变量同化	戈达德地球观测系统大气数据同化系统(GEOS ADAS)融合全球统计插值(GIS)方案
数据提供方	遥感系统(RSS)	美国国家航空航天局(NASA)全球水文资源中心(GHRC)	欧洲中期天气预报中心(ECMWF)	美国国家航空航天局(NASA)

四种全球大洋水汽数据产品的比较分析^*

Comparative analysis of four global ocean water vapor data products^*

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四种全球大洋水汽数据产品的比较分析*

Comparative analysis of four global ocean water vapor data products*

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四种全球大洋水汽数据产品的比较分析^*

Comparative analysis of four global ocean water vapor data products^*