Xinjiang is located in the arid region of Central Asia with complex terrain, fragile ecological environment and low ability to resist disasters. It is a sensitive area and a strong impact area of global warming. With the global warming, the problem of aridity in Xinjiang has attracted extensive attention. Based on the daily temperature and precipitation observation data of 55 meteorological stations in Xinjiang, China from 1961 to 2015, after data quality control and outliers elimination, the time series of monthly standardized precipitation evapotranspiration index (spei) of each station from 1961 to 2015 in 1, 3, 6, 12, 24 and 48 months were calculated, and the Xinjiang drought index data set was sorted out. This data set provides data support for analyzing the drought change trend and change characteristics in different time scales in Xinjiang region, and can also be used as basic data to explore the impact of drought events on Ecological hydrological environment and agricultural and animal husbandry production.
|collect time||2019/10/15 - 2019/10/15|
|collect place||Taklimakan region, Urumqi City, Xinjiang Province|
|altitude||-192.0m - 8569.0m|
|data size||2.4 MiB|
This data set is drought index data of different time scales in Xinjiang. Based on the monthly temperature and precipitation data, the monthly drought change time series of 1, 3, 6, 12, 24 and 48 months from 1961 to 2015 were established, and the drought index data set was sorted out, which provided reliable data support for further analysis of drought change trend and variation characteristics in different time scales in Xinjiang region.
The observation records of 55 meteorological observation stations were obtained after eliminating the station records which were continuously missing for more than 3 months. All the monthly temperature and precipitation records of each station from 1961 to 2015 are extracted, and sorted by month and year. The ASCII format text file named by 55 station names is output, which is convenient to meet the data requirements of subsequent calculation of drought index.
Automatic software identification and manual calibration
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