1-km daily average air temperature of the Tibetan Plateau (1980-2014)
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. (2020). 1-km daily average air temperature of the Tibetan Plateau (1980-2014). 时空三极环境大数据平台,
DOI:
10.11888/Meteoro.tpdc.270377.
CSTR:
18406.11.Meteoro.tpdc.270377.
[Zhang, F., Zhang, H. (2020). 1-km daily average air temperature of the Tibetan Plateau (1980-2014). A Big Earth Data Platform for Three Poles,
DOI:
10.11888/Meteoro.tpdc.270377.
CSTR:
18406.11.Meteoro.tpdc.270377.
]
(下载引用：
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RIS英文格式 |
Bibtex格式 |
Bibtex英文格式
)
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.( 查看 | Bibtex格式)
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).( 查看 | Bibtex格式)
使用本数据时必须引用“文章的引用”中列出的文献，并进行数据的引用
河流演变与影响(2019QZKK0203) Second Tibetan Plateau Scientific Expedition and Research Program (Grant No. 2019QZKK0203)
青藏高原冰川区气温估算及其冰川流域水文模拟适用性研究(41701079) National Natural Science Foundation of China (Grant No. 41701079)
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License：
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Attribution 4.0 International (CC BY 4.0)
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