Published May 17, 2019
| Version V 1.0
Journal article
Open
High-spatial-resolution monthly temperatures dataset over China during 1901–2017
Description
The dataset with 0.5 arcminute (~1 km) was spatially downscaled from CRU TS v4.02 based on Delta downscaling method, including monthly minimum, maximum, and mean temperatures from 1901.1 to 2017.12. The dataset covers the main land area of China. The dataset was evaluated by 496 national weather stations across China, and the evaluation indicated that the downscaled dataset is reliable for the investigations related to climate change across China.
Another data download site is Loess plateau Scientific Data Center (http://loess.geodata.cn/). This is a Chinese website. This website publishes the updated histrorical dataset and future downscaled monthly temperatures under multiple SSP Scenarios and GCMs, with 1 km spatial resolution.
/*************/ The dataset is updated yearly. Now, the period of the dataset is from 1901.1 to 2020.12.
/*************/ The future 1km dataset from 2021-2100 is published.
The data provider recommended the below publication as the reference.
Peng Shouzhang, Ding Yongxia, Liu Wenzhao, Li Zhi. 1 km monthly temperature and precipitation dataset for China from 1901 to 2017. Earth System Science Data, 2019, 11, 1931–1946, https://doi.org/10.5194/essd-11-1931-2019.
Files
Data_ Information_temperatures.txt
Files
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Additional details
References
- Peng Shouzhang, Ding Yongxia, Liu Wenzhao, Li Zhi. 1 km monthly temperature and precipitation dataset for China from 1901 to 2017. Earth System Science Data, 11, 1931–1946, https://doi.org/10.5194/essd-11-1931-2019, 2019.