Near-surface air temperature data of Antarctic ice sheet (2001-2018)

Near-surface air temperature data of Antarctic ice sheet (2001-2018)


1) Data content: spatial and temporal dataset of near-surface monthly air temperature of Antarctic ice sheet from 2001 to 2018。

2) Data source and processing method: MODIS (MODerate resolution Imaging Spectroradiometer) Land Surface Temperature measurements in combination with in-situ air temperature records from 119 meteorological stations are used to reconstruct a monthly near-surface air temperature product over the Antarctic Ice Sheet (AIS) by means of a neural network model. The product is generated on a regular grid of 0.05°×0.05°, spanning from 2001 to 2018.

3) Data quality description: the accuracy is better than that of ERA5 reanalysis data.

4) Data application achievements and prospects: the database can be used to study the temporal and spatial distribution characteristics of near-surface air temperature of Antarctic ice sheet, and the impact of SAM and ENSO on the interannual variation of Antarctic temperature. In addition, the dataset has the potential application for climate model validation and data assimilation due to the independence of the input of a numerical weather prediction model.


File naming and required software

The data is stored in raster NC format, and the file name is Antarctic_ T2m_ reconstruction_ 2001-2018. nc


Data Citations Data citation guideline What's data citation?
Cite as:

Zhang, X. (2022). Near-surface air temperature data of Antarctic ice sheet (2001-2018). A Big Earth Data Platform for Three Poles, DOI: 10.11888/Atmos.tpdc.272234. CSTR: 18406.11.Atmos.tpdc.272234. (Download the reference: RIS | Bibtex )

Related Literatures:

1. Zhang, X., Dong, X., Zeng, J., Hou, S., Smeets, P., Reijmer, C. H., &Wang, Y. (2022). Spatiotemporal Reconstruction of Antarctic Near-Surface Air Temperature from MODIS Observations. Journal of Climate, 35(17), 5537-5553. DOI: https://doi.org/10.1175/JCLI-D-21-0786.1.( View Details | Bibtex)

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


Support Program

CASEarth:Big Earth Data for Three Poles(grant No. XDA19070000) (No:XDA19000000)

Copyright & License

To respect the intellectual property rights, protect the rights of data authors, expand services of the data center, and evaluate the application potential of data, data users should clearly indicate the source of the data and the author of the data in the research results generated by using the data (including published papers, articles, data products, and unpublished research reports, data products and other results). For re-posting (second or multiple releases) data, the author must also indicate the source of the original data.


License: This work is licensed under an Attribution 4.0 International (CC BY 4.0)


Related Resources
Comments

Current page automatically show English comments Show comments in all languages

Download Follow
Keywords
Geographic coverage
East: 180.00 West: -180.00
South: -90.00 North: -60.00
Details
  • Temporal resolution: Monthly
  • Spatial resolution: 0.05 º - 0.1º
  • File size: 7,116 MB
  • Views: 3246
  • Downloads: 148
  • Access: Open Access
  • Temporal coverage: 2001-01-01 To 2018-12-31
  • Updated time: 2022-08-05
Contacts
: ZHANG Xueying   

Distributor: A Big Earth Data Platform for Three Poles

Email: poles@itpcas.ac.cn

Export metadata