1-km daily average air temperature of the Tibetan Plateau (1980-2014)
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)
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)
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)
数据的引用
ZHANG Fan, ZHANG Hongbo. (2020). 1-km daily average air temperature of the Tibetan Plateau (1980-2014). 国家青藏高原科学数据中心, 2020. doi:
10.11888/Meteoro.tpdc.270377.
[Zhang, F., Zhang, H. (2020). 1-km daily average air temperature of the Tibetan Plateau (1980-2014). National Tibetan Plateau Data Center, 2020]
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
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the data in the research results generated by using the data (including published papers, articles, data products, and unpublished research reports, data products and other results).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)
第二次青藏高原综合科学考察研究（2019QZKK0203）
国家自然科学基金（41701079）
1. 黑河生态水文遥感试验：水文气象观测网数据集（裸地站自动气象站-2013）
2. 祁连山综合观测网：黑河流域地表过程综合观测网（混合林站涡动相关仪-2018）
3. 黑河生态水文遥感试验：水文气象观测网数据集（景阳岭站自动气象站-2014）
4. 祁连山综合观测网：黑河流域地表过程综合观测网（大满超级站气象要素梯度观测系统-2019）
7. 祁连山综合观测网：青海湖流域地表过程综合观测网（亚高山灌丛涡动相关仪-2020）
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12. 2021-12-10 None 72.133.38.80 用途：免登录下载
13. 2021-03-13 None 10.42.0.1 用途：10.42.0.1
14. 2021-03-10 Sichuan University 陶文静 用途：研究青藏高原植物对气候的适应
15. 2021-03-10 Sichuan University 陶文静 用途：研究青藏高原植物对气候的适应
16. 2021-03-10 None 10.42.0.1 用途：10.42.0.1
17. 2021-02-07 北京师范大学 向响 用途：for master's dissertation
18. 2021-01-27 Sichuan University 陶文静 用途：ecology study
19. 2021-01-24 地理科学与资源研究所 李朝月 用途：Based on this data set, meteorological and hydrological studies on the Qinghai-Tibet Plateau are analyzed
20. 2021-01-24 Nichols College Prajjwal Panday 用途：Examine temperature trends and impacts on glacier ELA
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| East: 67.88 | West: 105.38 |
|---|---|
| South: 25.12 | North: 40.12 |
数据既是体力劳动的结果，更是智力活动的结晶，因此具有知识产权。 数据共享需要保护数据的知识产权，只有这样才能保护数据生产者权益，让数据共享可持续发展。 与数据相关的核心知识产权包括署名权、发布权和再编译权，其中署名权是最基本的权利。 在学术界，传统的文献引用是体现署名权的最佳方式，已经得到科学家的普遍认同，因此可以通过数据引用来体现数据的知识产权。
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.
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).
ZHANG Fan, ZHANG Hongbo. (2020). 1-km daily average air temperature of the Tibetan Plateau (1980-2014). 国家青藏高原科学数据中心, 2020. doi: 10.11888/Meteoro.tpdc.270377.
[Zhang, F., Zhang, H. (2020). 1-km daily average air temperature of the Tibetan Plateau (1980-2014). National Tibetan Plateau Data Center, 2020. doi: 10.11888/Meteoro.tpdc.270377. ]
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