Daily lowest gas temperature point dataset for the China Pakistan Economic Corridor at 0.25º×0.25º from 1961 to 2015
/static/dataset_list/70_项目来源数据/81_中巴灾害调查2023/中巴灾害调查24个数据-20231008/dataset_1961-2015年0.25度×0.25度中巴经济走廊逐日最低气温格点数据集_dn4b81/thumbnail_1961-2015年零点二五度乘零点二五度中巴经济走廊逐日最低气温格点数据集.png

Release time:2021-06-25

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This dataset covers the entire China Pakistan Economic Corridor region with a spatial resolution of 0.25 ° × 0.25 °, with a time span from January 1, 1961 to December 31, 2015. Based on the daily minimum temperature data of 65 meteorological stations in the China Pakistan Economic Corridor and its surrounding areas, using DEM data from the region as covariates, ANUSPLIN software was used for spatial interpolation. Taking the data from other meteorological stations in the research area that have not been interpolated as a reference, combined with the commonly used daily minimum temperature dataset in the international community, the validation shows that this dataset has higher accuracy and can better reflect the true spatiotemporal distribution characteristics of the lowest temperature in the China Pakistan Economic Corridor. The data volume is 171MB, approximately 20000 pieces.

Topicategory
Atmospheric science
Language
zh CN
Type
Data
Format
Excel
Contributor
Comprehensive Investigation and Evaluation Project of Natural Disasters in the China Pakistan Economic Corridor (Special Project for Science and Technology Basic Work)
Access constraints
Open sharing
Date
1961-2015
Operation
The station observation data mainly comes from the daily minimum temperature station data of the Pakistan Meteorological Administration, China Meteorological Administration, and the National Environmental Forecast Center of the United States. There are 74 stations in Pakistan and 8 stations in China. Remove the 17 stations with a missing measurement rate exceeding 50%, and use the remaining 65 meteorological stations for data production. Interpolate the missing values of the remaining stations using the inverse distance weighting method (IDW) to ensure the credibility of the interpolation process and results, and then output them in the data format required by ANUSPLIN software.
Operator name
Tao Hui
Responsible party role
Xinjiang Institute of Ecology and Geography, Chinese Academy of Sciences