A monthly air temperature and precipitation gridded dataset on 0.025° spatial resolution in China during(1951-2011)


Gridded climatic datasets with fine spatial resolution can potentially be used to depict the climatic characteristics across the complex topography of China. In this study we collected records of monthly temperature at 1153 stations and precipitation at 1202 stations in China and neighboring countries to construct a monthly climate dataset in China with a 0.025° resolution (~2.5 km). The dataset, named LZU0025, was designed by Lanzhou University and used a partial thin plate smoothing method embedded in the ANUSPLIN software. The accuracy of LZU0025 was evaluated based on three aspects: (1) Diagnostic statistics from the surface fitting model during 1951–2011. The results indicate a low mean square root of generalized cross validation (RTGCV) for the monthly air temperature surface (1.06 °C) and monthly precipitation surface (1.97 mm1/2). (2) Error statistics of comparisons between interpolated monthly LZU0025 with the withholding of climatic data from 265 stations during 1951–2011. The results show that the predicted values closely tracked the real true values with values of mean absolute error (MAE) of 0.59 °C and 70.5 mm, and standard deviation of the mean error (STD) of 1.27 °C and 122.6 mm. In addition, the monthly STDs exhibited a consistent pattern of variation with RTGCV. (3) Comparison with other datasets. This was done in two ways. The first was via comparison of standard deviation, mean and time trend derived from all datasets to a reference dataset released by the China Meteorological Administration (CMA), using Taylor diagrams. The second was to compare LZU0025 with the station dataset in the Tibetan Plateau. Taylor diagrams show that the standard deviation, mean and time trend derived from LZU had a higher correlation with that produced by the CMA, and the centered normalized root-mean-square difference for this index derived from LZU and CMA was lower. LZU0025 had high correlation with the Coordinated Energy and Water Cycle Observation Project (CEOP) - Asian Monsoon Project, (CAMP) Tibet surface meteorology station dataset for air temperature, despite a non-significant correlation for precipitation at a few stations. Based on this comprehensive analysis, we conclude that LZU0025 is a reliable dataset. LZU0025, which has a fine resolution, can be used to identify a greater number of climate types, such as tundra and subpolar continental, along the Himalayan Mountain. We anticipate that LZU0025 can be used for the monitoring of regional climate change and precision agriculture modulation under global climate change.


Data file naming and use method

数据文件描述:基于ANUSPLIN插值后的月值气象要素.nc文件包括pre_0025_1.nc; pre_0025_2.nc; tem_0025_1.nc; tem_0025_2.nc,其对应的预测标准误差分布文件包括pre_e0025_1.nc; pre_e0025_2.nc; tem_e0025_1.nc; tem_e0025_2.nc。其中pre_0025_1.nc, pre_e0025_1.nc, tem_0025_1.nc and tem_e0025_1.nc数据的时间范围是从1951年到1980年。pre_0025_2.nc, pre_e0025_2.nc, tem_0025_2.nc and tem_e0025_2.nc 数据的时间范围是从1981年到2011年。
使用use ncdump -h pre_0025_1.nc 查看文件头文件信息。
使用ncl语言和cdo命令获取月值气候要素在特定空间和时间尺度上的值。


Required Data Citation View Data Cite Help About Data Citation
Citations

1. Zhao, H., Huang, W., Xie, T., Wu, X., Xie, Y., & Feng, S., et al. (2019). Optimization and evaluation of a monthly air temperature and precipitation gridded dataset with a 0.025° spatial resolution in china during 1951–2011. Theoretical and Applied Climatology, 1-17. https://doi.org/10.1594/PANGAEA.895742( View Details | Bibtex)

2. Zhao, H. , Huang, W. , Xie, T. , Wu, X. , Xie, Y. , & Feng, S. , et al. (2019). Optimization and evaluation of a monthly air temperature and precipitation gridded dataset with a 0.025° spatial resolution in china during 1951–2011. Theoretical and Applied Climatology, 1-17, https://doi.org/10.1007/s00704-019-02830-y( View Details | Bibtex)

Cite the data

HUANG Wei, ZHAO Hong. A monthly air temperature and precipitation gridded dataset on 0.025° spatial resolution in China during(1951-2011). National Tibetan Plateau Data Center, 2019. doi: https://doi.org/10.1594/PANGAEA.895742. (Download the reference: RIS | Bibtex )

Using this data, you must reference article references listed in the Required Data Citation and reference data


Support Program

Pan-Third Pole Environment Study for a Green Silk Road-A CAS Strategic Priority A Program

User Limit

To respect the intellectual property rights, protect the rights of data authors,expand servglacials 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.

Example of acknowledgement statement is included below: The data set is provided by National Tibetan Plateau Data Center (http://data.tpdc.ac.cn).


License: This work is licensed under an Attribution 4.0 International (CC BY 4.0)


Related Resources

1. 2019-09-28 中国科学院新疆生态与地理研究所 崔梦琪 Usage:泛第三极项目研究

Comment

Sign In to add comments

Keywords
Geographic coverage
Spatial coverage

East: 135.00

South: 14.01

West: 70.66

North: 56.00

Detail
  • Temporal resolution: Monthly
  • Spatial resolution: km
  • File size: 98,700 MB
  • Browse count: 3,054 Times
  • Download count: 133 Times
  • Share mode: online
  • Temporal coverage: 1951-01-01 To 2011-12-31
  • Updated time: 2019-08-09
Download
Contact Information
: HUANG Wei   ZHAO Hong  

Distributor: National Tibetan Plateau Data Center

Email: data@itpcas.ac.cn

Attachments
Export metadata