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Discussion papers | Copyright
https://doi.org/10.5194/essd-2018-73
© Author(s) 2018. This work is distributed under
the Creative Commons Attribution 4.0 License.

Review article 28 Jun 2018

Review article | 28 Jun 2018

Review status
This discussion paper is a preprint. A revision of the manuscript is under review for the journal Earth System Science Data (ESSD).

A high-resolution air temperature data set for the Chinese Tianshan Mountains in 1979–2016

Lu Gao1,2,3,4, Jianhui Wei5, Lingxiao Wang6, Matthias Bernhardt7, Karsten Schulz7, and Xingwei Chen1,2,3,4 Lu Gao et al.
  • 1Fujian Provincial Engineering Research Center for Monitoring and Assessing Terrestrial Disasters, Fujian Normal University, Fuzhou, 350007, China
  • 2Institute of Geography, Fujian Normal University, Fuzhou, 350007, China
  • 3College of Geographical Science, Fujian Normal University, Fuzhou, 350007, China
  • 4State Key Laboratory of Subtropical Mountain Ecology (Funded by Ministry of Science and Technology and Fujian Province), Fujian Normal University, Fuzhou, 350007, China
  • 5Institute of Meteorology and Climate Research (IMK-IFU), Karlsruhe Institute of Technology, Campus Alpine, Garmisch- Partenkirchen, Germany
  • 6Department of Geography, Ludwig-Maximilians-Universität München, Munich, 80333, Germany
  • 7Institute of Water Management, Hydrology and Hydraulic Engineering, University of Natural Resources and Life Sciences, Vienna, Vienna, 1190, Austria

Abstract. The Chinese Tianshan Mountains has a complex ecological environment system. It not only has a large number of desert oases, but also gave birth to a large number of glaciers. The arid climate and the shortage of water resources are the important factors to restrict the socio-economic development in this area. This study presents a unique high-resolution (1km, 6-hourly) air temperature data set for the Chinese Tianshan Mountains (41.1814–45.9945°N, 77.3484–96.9989°E) from 1979 to 2016 based on a robust statistical downscaling framework. The data set was validated by 24 meteorological stations at daily scale. Compared with original ERA-Interim temperature, the Nash-Sutcliffe efficiency coefficient increased from 0.90 to 0.94 over all test sites. Around 24% of root-mean-square error was reduced from 3.75 to 2.85°C. A skill score based on the probability density function, which was used to validate the reliability of the new data set for capturing the distributions, enhanced from 0.86 to 0.91 for all test sites. We conclude that the new high-resolution data set is reliable for climate change investigation over the Chinese Tianshan Mountains. This data set would be helpful for the potential users for better local climate monitoring, modelling and environmental studies in the Chinese Tianshan Mountains. The data set presented in this article is published in Network Common Data Form (NetCDF) at doi:10.1594/PANGAEA.887700. The data set includes 288 nc files and one user guidance in txt file.

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A high-resolution air temperature data set for the Chinese Tianshan Mountains in 1979-2016 L. Gao https://doi.org/10.1594/PANGAEA.887700

Lu Gao et al.
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Short summary
High-resolution temperature data set is important for the Chinese Tianshan Mountains, which has a complex ecological environment system. This study presents a unique high-resolution (1 km, 6-hourly) air temperature data set for this area from 1979 to 2016 based on a robust statistical downscaling framework. The strongest advantage of this method is independent of local meteorological stations based on a model internal vertical lapse rates scheme. This method was validated for other mountains.
High-resolution temperature data set is important for the Chinese Tianshan Mountains, which has...
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