Spatial distribution data set of extreme precipitation hazard (2020)- A Big Earth Data Platform for Three Poles

Based on the global surface water data (wod) from 1984 to 2018, the extreme precipitation frequency index and extreme precipitation intensity index were selected. Combined with the spatial analysis method in ArcGIS, the risk level of flood disaster in 34 key nodes under extreme precipitation conditions was constructed and evaluated. One belt, one road, 34 key nodes, is evaluated for the risk of flooding in the key areas of the "one belt" Road area under extreme precipitation events, which provides a basis for local government departments to make decisions and early warning before floods occur, so that we can gain valuable time for disaster prevention and mitigation measures to reduce the lives of the people brought by floods. Loss of property.

File naming and required software

Risk assessment results are stored in TIFF format and can be opened by ArcGIS. The file name is“ xxx.tif ", where XXX represents the name of the node

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Cite as:

Ge, Y., Li, Q., Li, Y. (2020). Spatial distribution data set of extreme precipitation hazard (2020). A Big Earth Data Platform for Three Poles, (Download the reference： RIS | Bibtex )

Related Literatures:

1. Ma, Z.Q., Xu, J.T., Zhu, S.Y., Yang, J., Tang, G.Q., Yang, Y.J., Shi, Z., and Hong, Y. (2020). AIMERG: a new Asian precipitation dataset (0.1°/half-hourly, 2000–2015) by calibrating the GPM-era IMERG at a daily scale using APHRODITE, Earth Syst. Sci. Data, 12, 1525–1544, https://doi.org/10.5194/essd-12-1525-2020.( View Details | Bibtex)

Using this data, the data citation is required to be referenced and the related literatures are suggested to be cited.

Support Program

Pan-Third Pole Environment Study for a Green Silk Road-A CAS Strategic Priority A Program (No:XDA20000000)

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