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
|1||Monthly drought index data of Qilian Mountain National Park (1961-2020)|
|2||Disaster data of 1:500000 snowmelt flood in Xinjiang from 1984 to 2020|
|3||Monthly temperature vegetation drought index data set of China Pakistan Economic Corridor (2000-2017)|
|4||Disaster data of snowmelt flood in Xinjiang during 1984-2020|
|5||1:1 million vegetation index data products in Xinjiang, 2000-2013|
|6||Data set of extreme warming process in Pamir Plateau at the northern end of China Pakistan Economic Corridor (1961-2017)|
|7||Data set of questionnaire survey on farmers in typical areas of Gansu and Xinjiang in arid areas of China (1990-2010)|
|8||Soil observation database of Fukang, Aksu, Cele and Linze stations and related regions in Xinjiang (2008-2012)|
|9||Biological observation database of Fukang, Aksu, Cele and Linze stations and related regions in Xinjiang (2008-2012)|
|10||Satellite image data of typical Tarim River Basin (Keriya River Basin) in 2009|
Drought change Standardized precipitation evapotranspiration index Weather station
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