地球科学进展 ›› 2018, Vol. 33 ›› Issue (8): 794 -807. doi: 10.11867/j.issn.1001-8166.2018.08.0794

综述与评述 上一篇    下一篇

全球海洋再分析产品的研究现状
王世红 1, 3( ), 赵一丁 1, 尹训强 1, 2, 3, 乔方利 1, 2, 3, *( )   
  1. 1.国家海洋局第一海洋研究所,山东 青岛 266061
    2.青岛海洋科学与技术国家实验室区域海洋动力学与数值模拟功能实验室,山东 青岛 266061
    3.海洋环境科学和数值模拟国家海洋局重点实验室,山东 青岛 266061
  • 收稿日期:2018-02-12 修回日期:2018-06-15 出版日期:2018-08-10
  • 通讯作者: 乔方利 E-mail:wangshh@fio.org.cn;qiaofl@fio.org.cn
  • 基金资助:
    中国科学技术部资助国际合作项目“中—澳海洋工程研究”(编号:2016YFE0101400);国家自然科学基金委员会—山东省人民政府联合资助海洋科学研究中心项目“海洋环境动力学和数值模拟”(编号:U1606405)资助.

Current Status of Global Ocean Reanalysis Datasets

Shihong Wang 1, 3( ), Yiding Zhao 1, Xunqiang Yin 1, 2, 3, Fangli Qiao 1, 2, 3, *( )   

  1. 1.The First Institute of Oceanography, SOA, Qingdao 266061, China
    2.Laboratory for Regional Oceanography and Numerical Modeling, Qingdao National Laboratory for Marine Science and Technology, Qingdao 266061, China
    3.Key Laboratory of Marine Science and Numerical Modeling, SOA, Qingdao 266061, China
  • Received:2018-02-12 Revised:2018-06-15 Online:2018-08-10 Published:2018-09-14
  • Contact: Fangli Qiao E-mail:wangshh@fio.org.cn;qiaofl@fio.org.cn
  • About author:

    First author: Wang Shihong(1989-), female, Juxian County, Shandong Province, Postdoctoral. Research areas include the oceanological dynamic. E-mail:wangshh@fio.org.cn

  • Supported by:
    Project supported by the Ministry of Science and Technology of China “China-Astralian marine engineering research”(No.2016YFE0101400);the National Natural Science Foundation of China-Shandong Provincial Jointly Funded the Marine Science Research Center Project “Ocean dynamics and numerical simulation” (No.U1606405).

随着海洋观测资料的积累和日益丰富,以及海洋数值模式与数据同化方法的不断发展,利用同化系统将海洋数值模式和历史观测资料结合起来,对重构海洋过去的演变以形成再分析资料的作用和意义越来越显著。再分析产品为人们深入了解多时空尺度的海洋运动和探究海洋在气候变化中的作用提供了不可替代的资料基础。受海洋模式与数据同化方法的发展水平和庞大的计算资源需求等方面的限制,全球海洋再分析产品主要由海洋科技强国制作与发布。就当前国内外一些主要的全球海洋再分析计划及其产品进行分析,对各产品的特点及应用中存在的一些问题进行介绍,最后对全球海洋再分析产品未来的发展趋势进行了展望和讨论。

With the development of the ocean satellite remote sensing technology, the reanalysis of past oceanic observations using modern data assimilation technique and the restructuring of the long-term and consistent gridded data products have made great progress. Such datasets provide us with the most primary research tools to identify the state and evolution of ocean, and understand the role of ocean in climate change and variability at different spatial-temporal scales. In this paper, the current research status in the global reanalysis datasets including some of international global ocean reanalysis projects and the corresponding reanalyzed products were systematically reviewed. In addition, the present status of the domestic research of ocean reanalysis datasets was briefly introduced. The validation of the reanalysis datasets and some quality problems represented by the reanalyzed products, and the Ocean Reanalyses Intercomparison Project were systematically reviewed. Moreover, the prospects of the studies of oceanic reanalysis in the future were also discussed in this paper.

中图分类号: 

表1 SODA 再分析数据产品
Table 1 SODA ocean reanalysis datasets
版本号 时间段 风场资料 观测数据 产品分辨率
1.2 1948—2003年 NCEP/NCAR WOD01
1.4.0 1958—2001年 ERA-40 Simulation
1.4.2 1958—2001年 ERA-40 WOD01
1.4.3 2000—2005年 QuikSCAT WOD01
1.4.4 1992—2001年 ERA-40 WOD01
2.0.2 1958—2001年 ERA-40 WOD05 0.5°×0.5° 月平均
2.0.3 2002—2005年 QuikSCAT WOD05
2.0.4 2002—2007年 QuikSCAT WOD05 0.5°×0.5° 月平均
2.1.0 1958—2007年 ERA-40 WOD05
2.1.2 1958—2001年 ERA-40 Reprocessed Levitus
2.1.3 2002—2007年 QuikSCAT Reprocessed Levitus
2.1.4 1958—2007年 ERA-40 Reprocessed Wijffels
2.1.6 1958—2008年 ERA-40/ERA-Interim WOD09, COADS, SST 0.5°×0.5° 5天平均/月平均
2.2.0 1890—2003年 CR20v2 Simulation
2.2.2 1890—2007年 CR20v2 WOD09
2.2.4 1871—2010年 CR20v2 Ensemble Mean WOD09,COADS, SST 0.5°×0.5° 月平均
3.3.0 1980—2015年 MERRA2 Simulation 0.5°×0.5° 5天平均/月平均
3.3.1 1980—2015年 MERRA2 WOD09, SST 0.5°×0.5° 5天平均/月平均
3.3.2 1980—2016年 MERRA2 WOD09, COADS, SST 0.5°×0.5° 5天平均/月平均
3.4.0 1980—2015年 ERA-Interim Simulation 0.5°×0.5° 5天平均/月平均
3.4.1 1980—2015年 ERA-Interim WOD09, COADS, SST 0.5°×0.5° 5天平均/月平均
3.4.2 1980—2016年 ERA-Interim WOD09, COADS, SST 0.5°×0.5° 5天平均/月平均
3.5.1 1980—2010年 ERA20C WOD09, COADS, SST
3.6.1 1980—2009年 CORE2 WOD09, COADS, SST 0.5°×0.5° 5天平均/月平均
3.7.0 1980—2013年 JRA-55 Simulation
3.7.2 1980—2013年 JRA-55 WOD09, COADS, SST 0.5°×0.5° 5天平均/月平均
表1 SODA 再分析数据产品
Table 1 SODA ocean reanalysis datasets
版本号 时间段 风场资料 观测数据 产品分辨率
1.2 1948—2003年 NCEP/NCAR WOD01
1.4.0 1958—2001年 ERA-40 Simulation
1.4.2 1958—2001年 ERA-40 WOD01
1.4.3 2000—2005年 QuikSCAT WOD01
1.4.4 1992—2001年 ERA-40 WOD01
2.0.2 1958—2001年 ERA-40 WOD05 0.5°×0.5° 月平均
2.0.3 2002—2005年 QuikSCAT WOD05
2.0.4 2002—2007年 QuikSCAT WOD05 0.5°×0.5° 月平均
2.1.0 1958—2007年 ERA-40 WOD05
2.1.2 1958—2001年 ERA-40 Reprocessed Levitus
2.1.3 2002—2007年 QuikSCAT Reprocessed Levitus
2.1.4 1958—2007年 ERA-40 Reprocessed Wijffels
2.1.6 1958—2008年 ERA-40/ERA-Interim WOD09, COADS, SST 0.5°×0.5° 5天平均/月平均
2.2.0 1890—2003年 CR20v2 Simulation
2.2.2 1890—2007年 CR20v2 WOD09
2.2.4 1871—2010年 CR20v2 Ensemble Mean WOD09,COADS, SST 0.5°×0.5° 月平均
3.3.0 1980—2015年 MERRA2 Simulation 0.5°×0.5° 5天平均/月平均
3.3.1 1980—2015年 MERRA2 WOD09, SST 0.5°×0.5° 5天平均/月平均
3.3.2 1980—2016年 MERRA2 WOD09, COADS, SST 0.5°×0.5° 5天平均/月平均
3.4.0 1980—2015年 ERA-Interim Simulation 0.5°×0.5° 5天平均/月平均
3.4.1 1980—2015年 ERA-Interim WOD09, COADS, SST 0.5°×0.5° 5天平均/月平均
3.4.2 1980—2016年 ERA-Interim WOD09, COADS, SST 0.5°×0.5° 5天平均/月平均
3.5.1 1980—2010年 ERA20C WOD09, COADS, SST
3.6.1 1980—2009年 CORE2 WOD09, COADS, SST 0.5°×0.5° 5天平均/月平均
3.7.0 1980—2013年 JRA-55 Simulation
3.7.2 1980—2013年 JRA-55 WOD09, COADS, SST 0.5°×0.5° 5天平均/月平均
表2 ECCO-V4-R3同化所用观测资料及其时段 [ 32 ]
Table 2 Chronology of types of observations assimilated in ECCO-V4-R3 [ 32 ]
表2 ECCO-V4-R3同化所用观测资料及其时段 [ 32 ]
Table 2 Chronology of types of observations assimilated in ECCO-V4-R3 [ 32 ]
表3 ECCO 系列全球海洋再分析数据
Table 3 Global ocean reanalysis datasets based on MITgcm model
表3 ECCO 系列全球海洋再分析数据
Table 3 Global ocean reanalysis datasets based on MITgcm model
图1 ORA-S3同化的观测资料及其强迫场年表 [ 41 ]
Fig.1 Timeline of changes to the reanalysis forcing and assimilation datasets for ORA-S3 [ 41 ]
图1 ORA-S3同化的观测资料及其强迫场年表 [ 41 ]
Fig.1 Timeline of changes to the reanalysis forcing and assimilation datasets for ORA-S3 [ 41 ]
图2 ORA-S4同化的观测资料及其强迫场年表 [ 42 ]
Fig.2 Timeline of changes to the reanalysis forcing and assimilation datasets for ORA-S4 [ 42 ]
图2 ORA-S4同化的观测资料及其强迫场年表 [ 42 ]
Fig.2 Timeline of changes to the reanalysis forcing and assimilation datasets for ORA-S4 [ 42 ]
表4 ORA-IP计划中模式再分析数据集
Table 4 List of Ocean Reanalysis products entering the inter-comparison
产品及机构 强迫场 模式及分辨率 同化方案及变量 参考文献
CFSR
NOAA NCEP
Coupled DA 1/2° MOM4 coupled 3DVAR (T/SST/SIC) [70]
C-GLORS05V3
CMCC
ERAicorr+ Bulk 1/2° NEMO3.2 3DVAR (SLA/T/S/SST/SIC) [71]
ECCO-NRT
JPL/NASA
NCEP-R1+ CORE Bulk 1° MITgcm KF-FS (SLA/T) [35]
ECCO-v4
MIT/AER/JPL
ERAi+CORE Bulk 1° MITgcm 4DVAR (SLA/SSH/T/S/SST) [31]
GECCO2
UH
NCEP-R1+Bulk 1°×1/3° MITgcm 4DVAR (SLA/T/S/MDT/SST) [34]
ECDA
GFDL/NOAA
Coupled DA 1/3° MOM4 coupled EnKF (T/S/SST) [72,73]
GloSea5
UK MetOffice
ERAi+CORE Bulk 1/4° NEMO3.2 3DVAR (SLA/T/S/SST/SIC) [74]
MERRA Ocean
GSFC/NASA/GMAO
Merra + Bulk 1/2° MOM4 EnOI (SLA/T/S/SST/
SIC)
GODAS
NOAA NCEP
NCEP-R2 Flux 1°×1/3° MOM3 3DVAR (SST/T)
GLORYS2V1(G2V1)
Mercator Océan
ERAicorr+CORE Bulk 1/4° NEMO3.1 KF+3DVAR (SLA/T/S/SST/SIC) [44]
GLORYS2V3(G2V3)
Mercator Océan
ERAicorr+CORE Bulk 1/4° NEMO3.1 KF+3DVAR (SLA/T/S/SST/SIC) [45]
K7-ODA(ESTOC)
JAMSTEC/RCGC
NCEP-R1 corr. Flux 1° MOM3 4DVAR (SLA/T/S/SST) [51]
K7-CDA
JAMSTEC/CEIST
Coupled DA 1° MOM3 coupled 4DVAR (SLA/SST) [23]
PEODAS
CAWCR(BoM)
ERA40 to 2002; NCEP-R2 thereafter. Flux 1°×2° MOM2 EnKF (T/S/SST) [75]
ORAS4
ECMWF
ERA40 to 1988; ERAi thereafter. Flux. 1° NEMO3 3DVAR (SLA/T/S/SST) [42]
MOVE-C
MRI/JMA
Coupled DA 1° MRI.COM2 coupled 3DVAR (SLA/T/S/SST) [76]
MOVE-G2
MRI/JMA
JRA-55 corr+ Bulk 0.5°×1° MRI.COM3 3DVAR (SLA/T/S/SST) [77]
MOVE-CORE
MRI/JMA
CORE.2 Bulk 0.5°×1° MRI.COM3 3DVAR (T/S) [78,79]
SODA
U. of Maryland and TAMU
ERA40 to 2002; ERAi thereafter. Bulk 1/4° POP2.1 OI (T/S/SST) [59]
UR025.4
U. of Reading
ERAi+CORE Bulk 1/4° NEMO3.2 OI (SLA/T/S/SST/SIC) [80]
表4 ORA-IP计划中模式再分析数据集
Table 4 List of Ocean Reanalysis products entering the inter-comparison
产品及机构 强迫场 模式及分辨率 同化方案及变量 参考文献
CFSR
NOAA NCEP
Coupled DA 1/2° MOM4 coupled 3DVAR (T/SST/SIC) [70]
C-GLORS05V3
CMCC
ERAicorr+ Bulk 1/2° NEMO3.2 3DVAR (SLA/T/S/SST/SIC) [71]
ECCO-NRT
JPL/NASA
NCEP-R1+ CORE Bulk 1° MITgcm KF-FS (SLA/T) [35]
ECCO-v4
MIT/AER/JPL
ERAi+CORE Bulk 1° MITgcm 4DVAR (SLA/SSH/T/S/SST) [31]
GECCO2
UH
NCEP-R1+Bulk 1°×1/3° MITgcm 4DVAR (SLA/T/S/MDT/SST) [34]
ECDA
GFDL/NOAA
Coupled DA 1/3° MOM4 coupled EnKF (T/S/SST) [72,73]
GloSea5
UK MetOffice
ERAi+CORE Bulk 1/4° NEMO3.2 3DVAR (SLA/T/S/SST/SIC) [74]
MERRA Ocean
GSFC/NASA/GMAO
Merra + Bulk 1/2° MOM4 EnOI (SLA/T/S/SST/
SIC)
GODAS
NOAA NCEP
NCEP-R2 Flux 1°×1/3° MOM3 3DVAR (SST/T)
GLORYS2V1(G2V1)
Mercator Océan
ERAicorr+CORE Bulk 1/4° NEMO3.1 KF+3DVAR (SLA/T/S/SST/SIC) [44]
GLORYS2V3(G2V3)
Mercator Océan
ERAicorr+CORE Bulk 1/4° NEMO3.1 KF+3DVAR (SLA/T/S/SST/SIC) [45]
K7-ODA(ESTOC)
JAMSTEC/RCGC
NCEP-R1 corr. Flux 1° MOM3 4DVAR (SLA/T/S/SST) [51]
K7-CDA
JAMSTEC/CEIST
Coupled DA 1° MOM3 coupled 4DVAR (SLA/SST) [23]
PEODAS
CAWCR(BoM)
ERA40 to 2002; NCEP-R2 thereafter. Flux 1°×2° MOM2 EnKF (T/S/SST) [75]
ORAS4
ECMWF
ERA40 to 1988; ERAi thereafter. Flux. 1° NEMO3 3DVAR (SLA/T/S/SST) [42]
MOVE-C
MRI/JMA
Coupled DA 1° MRI.COM2 coupled 3DVAR (SLA/T/S/SST) [76]
MOVE-G2
MRI/JMA
JRA-55 corr+ Bulk 0.5°×1° MRI.COM3 3DVAR (SLA/T/S/SST) [77]
MOVE-CORE
MRI/JMA
CORE.2 Bulk 0.5°×1° MRI.COM3 3DVAR (T/S) [78,79]
SODA
U. of Maryland and TAMU
ERA40 to 2002; ERAi thereafter. Bulk 1/4° POP2.1 OI (T/S/SST) [59]
UR025.4
U. of Reading
ERAi+CORE Bulk 1/4° NEMO3.2 OI (SLA/T/S/SST/SIC) [80]
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[栾贻花, 俞永强, 郑伟鹏.全球高分辨率气候系统模式研究进展[J]. 地球科学进展, 2016, 31(3): 258-268.]
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[栾贻花, 俞永强, 郑伟鹏.全球高分辨率气候系统模式研究进展[J]. 地球科学进展, 2016, 31(3): 258-268.]
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