Articles | Volume 10, issue 4
https://doi.org/10.5194/essd-10-2097-2018
© Author(s) 2018. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
https://doi.org/10.5194/essd-10-2097-2018
© Author(s) 2018. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
Review article
| 
27 Nov 2018
Review article |
| 27 Nov 2018
| 27 Nov 2018
A high-resolution air temperature data set for the Chinese Tian Shan in 1979–2016
Fujian Provincial Engineering Research Center for Monitoring and Assessing Terrestrial Disasters, Fujian Normal University, Fuzhou, 350007, China
Institute of Geography, Fujian Normal University, Fuzhou, 350007, China
College of Geographical Science, Fujian Normal University, Fuzhou, 350007, China
State Key Laboratory of Subtropical Mountain Ecology (Funded by the Ministry of Science and Technology and the Fujian province), Fujian Normal University, Fuzhou, 350007, China
Jianhui Wei
Institute of Meteorology and Climate Research (IMK-IFU), Karlsruhe Institute of Technology, Campus Alpine, Garmisch-Partenkirchen, Germany
Lingxiao Wang
Department of Geography, Ludwig-Maximilians-Universität München, Munich, 80333, Germany
Matthias Bernhardt
Institute of Water Management, Hydrology and Hydraulic Engineering, University of Natural Resources and Life Sciences, Vienna, Vienna, 1190, Austria
Karsten Schulz
Institute of Water Management, Hydrology and Hydraulic Engineering, University of Natural Resources and Life Sciences, Vienna, Vienna, 1190, Austria
Xingwei Chen
Fujian Provincial Engineering Research Center for Monitoring and Assessing Terrestrial Disasters, Fujian Normal University, Fuzhou, 350007, China
Institute of Geography, Fujian Normal University, Fuzhou, 350007, China
College of Geographical Science, Fujian Normal University, Fuzhou, 350007, China
State Key Laboratory of Subtropical Mountain Ecology (Funded by the Ministry of Science and Technology and the Fujian province), Fujian Normal University, Fuzhou, 350007, China
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- How Well Does the ERA5 Reanalysis Capture the Extreme Climate Events Over China? Part II: Extreme Temperature W. Xu et al. 10.3389/fenvs.2022.921659
- Evaluation of Merra-2 Land Surface Temperature Dataset and its Application in Permafrost Mapping Over China A. Wen et al. 10.2139/ssrn.4067275
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- Improving Snow‐Process Modeling by Evaluating Reanalysis Vertical Temperature Profiles Using a Distributed Hydrological Model A. Moiz et al. 10.1029/2021JD036174
- GPRChinaTemp1km: a high-resolution monthly air temperature data set for China (1951–2020) based on machine learning Q. He et al. 10.5194/essd-14-3273-2022
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- The Development of a Two-Step Merging and Downscaling Method for Satellite Precipitation Products X. Lu et al. 10.3390/rs12030398
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- Correcting GPM IMERG precipitation data over the Tianshan Mountains in China X. Lu et al. 10.1016/j.jhydrol.2019.06.019
34 citations as recorded by crossref.
- Evaluation and Comparison of Daily GPM/TRMM Precipitation Products over the Tianshan Mountains in China Y. Zhang et al. 10.3390/w12113088
- Evidence of elevation-dependent warming from the Chinese Tian Shan L. Gao et al. 10.5194/tc-15-5765-2021
- How Well Does the ERA5 Reanalysis Capture the Extreme Climate Events Over China? Part I: Extreme Precipitation X. Lei et al. 10.3389/fenvs.2022.921658
- A First Evaluation of ERA5-Land Reanalysis Temperature Product Over the Chinese Qilian Mountains P. Zhao & Z. He 10.3389/feart.2022.907730
- SCDNA: a serially complete precipitation and temperature dataset for North America from 1979 to 2018 G. Tang et al. 10.5194/essd-12-2381-2020
- Evaluating and Correcting Temperature and Precipitation Grid Products in the Arid Region of Altay, China L. Zhang et al. 10.3390/rs16020283
- A combined Terra and Aqua MODIS land surface temperature and meteorological station data product for China from 2003 to 2017 B. Zhao et al. 10.5194/essd-12-2555-2020
- Temperature trends and its elevation-dependent warming over the Qilian Mountains P. Zhao et al. 10.1007/s11629-023-8449-z
- Implications of elevation-dependent warming to water resources over the Chinese Qilian Mountains P. Zhao et al. 10.2166/wcc.2022.391
- Assessment of IMERG-V06 Precipitation Product over Different Hydro-Climatic Regimes in the Tianshan Mountains, North-Western China M. Anjum et al. 10.3390/rs11192314
- Performance and changes of high‐resolution (1 km) surface air temperature in Northern Hemisphere permafrost regions H. Jin et al. 10.1002/joc.7918
- 1 km monthly precipitation and temperatures dataset for China from 1952 to 2019 based on new baseline climatology surfaces H. Gong et al. 10.1016/j.scitotenv.2023.167613
- 1 km monthly temperature and precipitation dataset for China from 1901 to 2017 S. Peng et al. 10.5194/essd-11-1931-2019
- Temperature Change Characteristics in Gansu Province of China P. Zhao & Z. He 10.3390/atmos13050728
- Elevation Correction of ERA5 Reanalysis Temperature over the Qilian Mountains of China P. Zhao & L. Qian 10.3390/atmos16030324
- Combining sparse observations and reanalysis data for refining spatiotemporal variability in near‐surface air temperature lapse rates over China H. Chen et al. 10.1002/joc.7226
- How Well Does the ERA5 Reanalysis Capture the Extreme Climate Events Over China? Part II: Extreme Temperature W. Xu et al. 10.3389/fenvs.2022.921659
- Evaluation of Merra-2 Land Surface Temperature Dataset and its Application in Permafrost Mapping Over China A. Wen et al. 10.2139/ssrn.4067275
- Evaluation of MERRA-2 land surface temperature dataset and its application in permafrost mapping over China A. Wen et al. 10.1016/j.atmosres.2022.106373
- Comparisons of statistical downscaling methods for air temperature over the Qilian Mountains H. Jin et al. 10.1007/s00704-022-04081-w
- Dataset of daily near-surface air temperature in China from 1979 to 2018 S. Fang et al. 10.5194/essd-14-1413-2022
- Evaluation of ERA-Interim Air Temperature Data over the Qilian Mountains of China P. Zhao et al. 10.1155/2020/7353482
- Divergent Trends of Water Storage Observed via Gravity Satellite across Distinct Areas in China P. He et al. 10.3390/w12102862
- Landslide-Hazard-Avoiding Highway Alignment Selection in Mountainous Regions Based on SAR Images and High-Spatial-Resolution Precipitation Datasets: A Case Study in Southwestern China Z. Wang et al. 10.3390/rs16071303
- Global reconstruction of gridded aridity index and its spatial and temporal characterization from 2003 to 2022 J. Lu et al. 10.1080/17538947.2025.2473639
- Spatiotemporal change and attribution of potential evapotranspiration over China from 1901 to 2100 Y. Ding & S. Peng 10.1007/s00704-021-03625-w
- Spatiotemporal Trends and Attribution of Drought across China from 1901–2100 Y. Ding & S. Peng 10.3390/su12020477
- Validation of DSDs of GPM DPR with Ground-Based Disdrometers over the Tianshan Region, China X. Lu et al. 10.3390/rs17010079
- Improving Snow‐Process Modeling by Evaluating Reanalysis Vertical Temperature Profiles Using a Distributed Hydrological Model A. Moiz et al. 10.1029/2021JD036174
- GPRChinaTemp1km: a high-resolution monthly air temperature data set for China (1951–2020) based on machine learning Q. He et al. 10.5194/essd-14-3273-2022
- Evaluation of ERA5-Land reanalysis datasets for extreme temperatures in the Qilian Mountains of China P. Zhao et al. 10.3389/fevo.2023.1135895
- The Development of a Two-Step Merging and Downscaling Method for Satellite Precipitation Products X. Lu et al. 10.3390/rs12030398
- Bias correction of ERA-Interim reanalysis temperature for the Qilian Mountains of China P. Zhao et al. 10.3389/fenvs.2022.1033202
- Correcting GPM IMERG precipitation data over the Tianshan Mountains in China X. Lu et al. 10.1016/j.jhydrol.2019.06.019
Latest update: 01 Jul 2025
Short summary
High-resolution temperature data sets are important for the Chinese Tian Shan, 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 its independence of local meteorological stations due to a model internal, vertical lapse rate scheme. This method was validated for other mountains.
High-resolution temperature data sets are important for the Chinese Tian Shan, which has a...
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