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Data Details

Spatial-temporal Annual Precipitation Dataset in China-Mongolia-Russia Economic Corridor (1982-2018, 1-km/y)


LI Guangshuai1,2LIU Tingxiang2BUKun1YANG Jiuchun1JIAO Yue1,3YU Lingxue*1BAO Yulong4ZHANG Shuwen1
1 Remote Sensing and Geographic Information Research Center，Northeast Institute of Geography and Agroecology，Chinese Academy of Sciences，Changchun 130102，China2 School of Geography Science，Changchun Normal University，Changchun 130032，China3 School of Life Science，Liaoning Normal University，Dalian 116081，China4 School of Geography Science，Inner Mongolia Normal University，Hohhot 010022，China

DOI:10.3974/geodb.2022.02.07.V1

Published:Feb. 2022

Visitors：5442       Data Files Downloaded：213      
Data Downloaded：114897.85 MB      Citations：

Key Words：

China-Mongolia-Russia Economic Corridor,annual precipitation,ANUSPLIN,1-km,1982-2018,

Abstract：

The spatial-temporal annual precipitation dataset in China-Mongolia-Russia Economic Corridor (1982-2018, 1-km/y) was developed based on the integration between the precipitation records from 353 meteorological stations and the ANUSPLIN model with the longitude, latitude and altitude in the China-Mongolia-Russia Economic Corridor. The results show that R² was 0.9377, where R is the correlation coefficient between meteorological station data and interpolation results. The average Mean Absolute Error (MAE) and Root Mean Square Error (RMSE) values were 4.5 mm and 2.3 mm respectively. The dataset is archived in .tif and .mdd data formats with a spatial resolution of 1 km. It is composed of 189 data files with data size of 5.43 GB (Compressed into three files with 1.53 GB).Browse

Foundation Item：

Chinese Academy of Sciences (XDA2003020301); National Natural Science Foundation of China (42071025); Ministry of Science and Technology of P. R. China (2017FY101301)

Data Citation：

LI Guangshuai, LIU Tingxiang, BUKun, YANG Jiuchun, JIAO Yue, YU Lingxue*, BAO Yulong, ZHANG Shuwen. Spatial-temporal Annual Precipitation Dataset in China-Mongolia-Russia Economic Corridor (1982-2018, 1-km/y)[J/DB/OL]. Digital Journal of Global Change Data Repository, 2022. https://doi.org/10.3974/geodb.2022.02.07.V1.

LI Guangshuai, LIU Tingxiang, BUKun, et al. Spatial–temporal annual precipitation dataset in the China– Mongolia–Russia Economic Corridor (1982–2018, 1-km/y) [J]. Journal of Global Change Data & Discovery, 2022, 6(3): 425-432

References：

[1] Jiao, Y., Yang, J. C., Li, G. S., et al. Temporal and spatial data set of average temperature in China Mongolia Russia Economic Corridor (1982-2018, 1-km / y) [J /DB / OL] Electronic Journal of global change data warehousing (Chinese and English), 2022. https://doi.org/10.3974/geodb.2022.01.03.V1.
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     [5] Liu, Z. H., Yang, Q. K., Li, R. Special climate data spatial interpolation software ANUSPLIN and its application [J]. Meteorology, 2008, 34(2): 92-100.
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     [10] Liu, Z. H., McVicar, T. R., Li, L. T, et al. Spatial interpolation of meteorological elements in time series based on ANUSPLIN [J]. Journal of Northwest University of Agriculture and Forestry Science and Technology (Natural Science Edition), 2008, 10: 227-34.
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     [14] Bai, Y. Development of the Spatio-temporal variations dataset of NDVI in Qinling-Daba Mountains of China (2000-2019) [J]. Journal of Global Change Data and Discovery, 2020, 4(4): 346-353.
     

Data Product:

ID Data Name Data Size Operation
0Datapaper_CMREC_Prcp.pdf2559.00kbDownLoad
1 CMREC_Prcp_1982-1999_tif.rar 624705.18KB
2 CMREC_Prcp_2000-2018_tif.rar 659770.82KB
3 CMREC_Prcp_1982-2018_mdd.rar 321805.54KB
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