1) Data content (including elements and meanings): Gridded daily average air temperature of the Tibetan Plateau during 1980-2014 at 1-km resolution
2) Data source and processing method: Developed by integrating 8 types of reanalysis data (i.e., NNRP-2, 20CRV2c, JRA-55, ERA-Interim, MERRA2, CFSR, GLDAS and ERA5) downscaled with MODIS-estimated temperature lapse rates based on machine learing
3) Data quality description: According to leave-one-out validation based on stations, the average RMSE at China Adimistration Stations is about 1.7 ℃ and that at high-elevation field stations is about 1.9 ℃
4) Data application results and prospects: This dataset can be used as air temperature input for driving long-term hydrologial modelling or evaluated for use in climate analysis
In geotiff format which can be read directly by mutiple GIS softwares (such as ArcGIS and QGIS)
ZHANG Fan, ZHANG Hongbo. 1-km daily average air temperature of the Tibetan Plateau (1980-2014). National Tibetan Plateau Data Center, 2020. doi: 10.11888/Meteoro.tpdc.270377. (Download the reference： RIS | Bibtex )
Related Literatures:1. Zhang, H., Zhang, F., Zhang, G., Che, T., & Yan, W. (2018). How accurately can the air temperature lapse rate over the Tibetan Plateau be estimated from MODIS LSTs?. Journal of Geophysical Research: Atmospheres, 123(8), 3943-3960.( View Details | Bibtex)
2. Zhang, H.B, Immerzeel, W.W., Zhang*, F., De Kok, R.J., Gorrie, S.J., & Ye, M. (2021). Creating 1-km long-term (1980–2014) daily average air temperatures over the Tibetan Plateau by integrating eight types of reanalysis and land data assimilation products downscaled with MODIS-estimated temperature lapse rates based on machine learning. International Journal of Applied Earth Observations and Geoinformation (accepted).( View Details | Bibtex)
Using this data, the data citation is required to be referenced and the related literatures are suggested to be cited.
Second Tibetan Plateau Scientific Expedition and Research Program (Grant No. 2019QZKK0203)
National Natural Science Foundation of China (Grant No. 41701079)
To respect the intellectual property rights, protect the rights of data authors,expand servglacials 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the data in the research results generated by using the data (including published papers, articles, data products, and unpublished research reports, data products and other results).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.
Example of acknowledgement statement is included below: The data set is provided by National Tibetan Plateau Data Center (http://data.tpdc.ac.cn).
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Attribution 4.0 International (CC BY 4.0)
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| East: 67.88 | West: 105.38 |
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| South: 25.12 | North: 40.12 |
