A dataset of daily near-surface air temperature in China from 1979 to 2018

A dataset of daily near-surface air temperature in China from 1979 to 2018


Ta (Near-surface air temperature) is an important physical parameter that reflects climate change. In order to obtain daily Ta data (Tmax, Tmin, and Tavg) with high spatial and temporal resolution in China, we fully analyzed the advantages and disadvantages of various existing data (reanalysis, remote sensing, and in situ data) ,Different Ta reconstruction models are constructed for different weather conditions, and we further improve data accuracy through building correction equations for different regions. Finally, a dataset of daily temperature (Tmax, Tmin, and Tavg) in China from 1979 to 2018 was obtained with a spatial resolution of 0.1°

For Tmax, validation using in situ data shows that the root mean square error (RMSE) ranges from 0.86 °C to 1.78 °C, the mean absolute error (MAE) varies from 0.63 °C to 1.40 °C, and the Pearson coefficient (R2) ranges from 0.96 to 0.99. For Tmin, RMSE ranges from 0.78 °C to 2.09 °C, the MAE varies from 0.58 °C to 1.61 °C, and the R2 ranges from 0.95 to 0.99. For Tavg, RMSE ranges from 0.35 °C to 1.00 °C, the MAE varies from 0.27 °C to 0.68 °C, and the R2 ranges from 0.99 to 1.00. Furthermore, a variety of evaluation indicators were used to analyze the temporal and spatial variation trends of Ta, and the Tavg increase was more than 0.0 °C/a, which is consistent with the general global warming trend.

In conclusion, this dataset had a high spatial resolution and reliable accuracy, which makes up for the previous missing temperature value (Tmax, Tmin, and Tavg) at high spatial resolution. This dataset also provides key parameters for the study of climate change, especially high-temperature drought and low-temperature chilling damage。


File naming and required software

The data file is raster, TIF format, and compressed format yyyy every year_ avg.zip,YYYY_ max.zip,YYYY_ Min.zip storage
It can be opened and read by ArcGIS, ENVI and other software


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

Fang, S., Mao, K. (2022). A dataset of daily near-surface air temperature in China from 1979 to 2018. National Tibetan Plateau Data Center, DOI: 10.5281/zenodo.5502275. (Download the reference: RIS | Bibtex )

Related Literatures:

1. Fang, S., Kebiao Mao#*, Xia, X., Wang, P., Shi, J., Bateni, S. M., Xu, T., Cao, M., and Heggy, E. Qin. Z., (2022). Dataset of daily near-surface air temperature in China from 1979 to 2018. Earth Syst. Sci. Data, 14, 1-20, 2022. https://essd.copernicus.org/articles/14/1413/2022/( View Details | Download | Bibtex)

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


Copyright & License

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Example of acknowledgement statement is included below: The data set is provided by National Tibetan Plateau Data Center (http://data.tpdc.ac.cn).


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


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Keywords
Geographic coverage
East: 136.69 West: 71.29
South: 15.75 North: 58.64
Details
  • Temporal resolution: Daily
  • Spatial resolution: 0.1º - 0.25º
  • File size: 143,000 MB
  • Views: 3,175
  • Downloads: 496
  • Access: Open Access
  • Temporal coverage: 1978-01-01 To 2018-12-31
  • Updated time: 2022-04-02
Contacts
: FANG Shu   MAO Kebiao  

Distributor: National Tibetan Plateau Data Center

Email: data@itpcas.ac.cn

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