Skip to main content

Advertisement

Log in

Assessment of the spatiotemporal variability of seawater temperature and salinity in the Yellow and Bohai seas from multiple high-resolution reanalysis datasets

  • Published:
Ocean Dynamics Aims and scope Submit manuscript

Abstract

Reanalysis datasets have been widely used in oceanography and climate change studies. We evaluate the applicability of eight reanalysis datasets in the Yellow and Bohai seas (YBS), including ERA5, SODA3.4.2, GREPv2, C-GLORSv7, GLORYS2v4, ORAS5, CORAv1.0, and CORAv2.0, compared to the observation data from the oceanic stations and an observation-based dataset of global instantaneous 3D thermohaline fields (ARMOR3D). The results show that the sea surface temperature (SST) of ERA5, ORAS5, and GREPv2 agrees with the observations, while the temperature profiles of C-GLORSv7 and GREPv2 are in good agreement with the ARMOR3D observation. In terms of ocean salinity, the salinity profile of the CORA series is in better agreement than other reanalysis datasets. Overall, GREPv2 is more consistent with seawater temperature observations in the YBS than others, while the CORA series reproduces the salinity variation better. GREPv2, a multi-model ensemble product, delivers a better depiction of seawater temperature and salinity than that of the individual member dataset. Most reanalysis datasets can reproduce the interannual variation of SST in the YBS well with improved performance in the last decade. The spatial distribution differences occur mostly in offshore waters with a warmer but less salinity bias.

This is a preview of subscription content, log in via an institution to check access.

Access this article

Price excludes VAT (USA)
Tax calculation will be finalised during checkout.

Instant access to the full article PDF.

Fig. 1
Fig. 2
Fig. 3
Fig. 4
Fig. 5
Fig. 6
Fig. 7
Fig. 8
Fig. 9
Fig. 10
Fig. 11
Fig. 12
Fig. 13
Fig. 14
Fig. 15

Similar content being viewed by others

Data availability

The datasets generated and/or analyzed in the current study are available from the corresponding author on reasonable request. The following datasets are used for the analysis: ERA5 dataset is downloaded from http://apps.ecmwf.int/data-catalogues/era5/?class=ea; SODA3.4.2 dataset is sourced from https://www2.atmos.umd.edu/~ocean/index_files/soda3.4.2_mn_download_b.htm; GREPv2 dataset is downloaded from https://resources.marine.copernicus.eu/products0); CORAv1.0 and CORAv2.0 datasets are downloaded from http://mds.nmdis.org.cn/pages/dataViewDetail.html?dataSetId=48. The observational temperature and salinity data from six ocean stations can be downloaded from http://mds.nmdis.org.cn/pages/dataViewDetail.html?dataSetId=9. ARMOR3D dataset is obtained from https://doi.org/10.48670/moi-00052.

References

Download references

Acknowledgements

The authors acknowledge the supports from National Natural Science Foundation of China (42206246, 41977406), the National Key Research and Development Program of China (2021YFA0719104), 111 project (B20011), and the Fundamental Research Funds for the Central Universities (2-9-2020-007).

Author information

Authors and Affiliations

Authors

Corresponding author

Correspondence to Yu Yan.

Ethics declarations

Competing interests

The authors declare no competing interests.

Additional information

Responsible Editor: Guoping Gao

Rights and permissions

Springer Nature or its licensor (e.g. a society or other partner) holds exclusive rights to this article under a publishing agreement with the author(s) or other rightsholder(s); author self-archiving of the accepted manuscript version of this article is solely governed by the terms of such publishing agreement and applicable law.

Reprints and permissions

About this article

Check for updates. Verify currency and authenticity via CrossMark

Cite this article

Yan, Y., Zhou, Y., Xu, Y. et al. Assessment of the spatiotemporal variability of seawater temperature and salinity in the Yellow and Bohai seas from multiple high-resolution reanalysis datasets. Ocean Dynamics 73, 557–573 (2023). https://doi.org/10.1007/s10236-023-01567-7

Download citation

  • Received:

  • Accepted:

  • Published:

  • Issue Date:

  • DOI: https://doi.org/10.1007/s10236-023-01567-7

Keywords

Navigation