Global drought intensity and major meteorological factors anomaly dataset (2018)

This dataset mainly includes the spatial distribution of global SPEI in 1218 in 2018, the global drought intensity in 2018, and the anomalies of precipitation, land surface temperature, 0-10 cm soil moisture and the past 10 years (2009-2018); The flat index method, the maximum value synthesis method and the trend analysis method calculate the global drought intensity and the main meteorological factor anomaly data for 2018. The data time scale is 2018-01-01 to 2018-12-31, and the spatial resolution is 0.5 degree. The data can provide a scientific reference for the analysis of global drought distribution and drought assessment in 2018.

Data file naming and use method

File naming: SPEI data is stored in tif format for 12 months in 2018. The file name is “yyyymm_SPEI_2018.tif”, where yyyy represents the year and mm represents the month; 2018 global drought intensity data is stored in tif format, and the file name is “global_droughti_intensity. Tif"; temperature anomaly is stored in tif format, the file name is "temperature_anomaly10yr.tif"; the soil moisture anomaly is stored in tif format, the file name is "SoilMoi0_10cm_anomaly10yr.tif"; the precipitation anomaly is stored as tif, the file name is "precipitaiton_anomaly10yr" .tif"
Data reading method: open directly with envi and arcgis

Required Data Citation View Data Cite Help About Data Citation
Cite the data

TIAN Feng, Wu Jianjun, ZHOU Hongmin. Global drought intensity and major meteorological factors anomaly dataset (2018). National Tibetan Plateau Data Center, 2019. doi: 10.11888/Meteoro.tpdc.270208. (Download the reference: RIS | Bibtex )

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

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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the data in the research results generated by using the data (including published papers, articles, data products, and unpublished research reports, data products and other results).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 (

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

Related Resources

1. 2019-09-27 None 马晓飞 Usage:泛第三极项目:《大湖区生态系统服务评价研究》by 张弛


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Geographic coverage
Spatial coverage

East: 180.00

South: -60.00

West: -180.00

North: 90.00

  • Temporal resolution: Monthly
  • Spatial resolution: 1º
  • File size: 13 MB
  • Browse count: 167 Times
  • Download count: 10 Times
  • Share mode: online
  • Temporal coverage: 2018-01-01 To 2018-12-31
  • Updated time: 2019-09-01
Contact Information
: TIAN Feng   Wu Jianjun   ZHOU Hongmin  

Distributor: National Tibetan Plateau Data Center


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