The basic data source of this dataset is from the website of the National Oceanic and Atmospheric Administration (NOAA). NOAA satellites are meteorological observation satellites. Provide meteorological environment information including temperature, precipitation, dew point, wind speed, etc. This dataset mainly covers key nodes in the pan-third pole Southeast Asia and Middle East regions. The main steps of data processing are as follows: First, according to the definition of high temperature heat waves in China's national standard "GB / T 29457-2012", based on basic meteorological data, determine the occurrence of high temperature heat waves, and then statistically obtain the frequency of high temperature heat waves. The time and occurrence intensity are collated to obtain the historical high temperature heat wave disaster event data set. This data set is helpful for clarifying the occurrence of extreme high temperature disasters in each study area, and provides reference materials and a strong basis for judging the intensity of high temperature heat waves in each area.

File naming and required software

In .txt format, can be opened and analysed in notepad software.

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Cite as:

Ge, Y., Liu, Q. (2020). Ｈistorical heat wave disaster dataset of pan-third pole key points region (2010-2018). A Big Earth Data Platform for Three Poles, DOI: 10.11888/Disas.tpdc.270345. CSTR: 18406.11.Disas.tpdc.270345. (Download the reference： RIS | Bibtex )

Related Literatures:

1. Arguez, A., Karl, T.R., Squires, M.F., et al. (2013). Uncertainty in annual rankings from NOAA's global temperature time series. Geophysical Research Letters, 40(22).( View Details | Download | Bibtex)

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

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