Merged 3-Dimentional gridded temperature dataset among Indian Ocean (2005-2019)- A Big Earth Data Platform for Three Poles

Estimate of the thermal state of the ocean is of vital importance to understand the process of air-sea interaction and footprint of climate change in the Indian Ocean. However, the insufficiency and poor coverage of subsurface observation brings quite a large challenge to estimate the subsurface temperature changes accurately. Moreover, surface observation from satellite contains well sample and could also reflect the subsurface information partly. We derived the ‘synthetic profiles’ based on the ‘surface-subsurface regression’ method in order to enrich the subsurface profiles. Then the 3-dimentional gridded temperature dataset are established by combining both the in-situ and synthetic profiles through objective analysis technique. Inter-comparison between the previous released datasets, such as IAP, EN4 and Ishii, this dataset could capture main thermal signal among the Indian Ocean and shows more mesoscale signal because of its higher resolution.

This dataset provides monthly mean gridded subsurface temperature estimate among 30E-105E, 45S-30N, ranging from 2005 to 2018. We provide with dataset which has horizontal resolution in quarter degree and 42 vertical levels from surface to 2000-m depth in netCDF format.

File naming and required software

This dataset provides monthly mean gridded subsurface temperature estimate among 30E-105E, 45S-30N, ranging from 2005 to 2019. We provide two kinds of horizontal resolution- 1 degree and quarter degree and 42 vertical levels from surface to 2000-m depth in netCDF format.
Data file nomination: 3-dimentioanl sea temperature data has been stored in netCDF format, and named as "Merged_IO_Temp_YYYY_MM_Quarter.nc", where YYYY represents the year and MM represents the month. For example, Merged_IO_Temp_2005_01_Quarter.nc represents the 3-dimentioanl sea temperature among the Indian Ocean in January 2005.
Data reading method: All netCDF files in this dataset can be read directly using Matlab, NCL, python and other languages.

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Cite as:

Wang, G., Zhao, L. (2020). Merged 3-Dimentional gridded temperature dataset among Indian Ocean (2005-2019). A Big Earth Data Platform for Three Poles, DOI: 10.11888/Hydro.tpdc.271029. CSTR: 18406.11.Hydro.tpdc.271029. (Download the reference： RIS | Bibtex )

Related Literatures:

1. Wang, G.J., Cheng, L.J., John, A., and Li, C.Y. (2018). Consensuses and Discrepancies of Basin-Scale Ocean Heat Content Changes in Different Ocean Analyses. Climate Dynamics 50, no. 7, 2471–87. https://doi.org/10.1007/s00382-017-3751-5.( View Details | Download | Bibtex)

2. Cheng L. and J. Zhu, 2016, Benefits of CMIP5 multimodel ensemble in reconstructing historical ocean subsurface temperature variation, Journal of Climate. 29(15),5393-5416,doi:10.1175/JCLI-D-15-0730.1( View Details | Download | Bibtex)

Using this data, the data citation is required to be referenced and the related literatures are suggested to be cited.

Support Program

Pan-Third Pole Environment Study for a Green Silk Road-A CAS Strategic Priority A Program (No:XDA20000000)

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