1-km monthly precipitation dataset for China (1901-2021)
2019qzkk0603-zgyjsl: in which, 2019QZKK is the project number, 06 represents task 6,03 represents topic 3, and zgyjsl is the initial letter of Chinese pinyin;The data format is NETCDF, nc data can be opened by ArcMAP software;Matlab can be used for extraction and processing, Matlab released the function to read and store the nc file, the reading function is ncread, switch to the nc file storage folder, the statement is expressed as: ncread (' XXX. Nc ', 'var', [I j t], [leni lenj lenj]), where XXX.Var is the name of the variable read from XXX. Nc.I, j and t are respectively the beginning row, column and time of data reading, while leni, lenj and lent I are respectively the length of data reading in the dimension of row, column and time.Thus, this function can be used to read any region and any time period in the study area.
1. Peng, S.Z., Ding, Y.X., Wen, Z.M., Chen, Y.M., Cao, Y., & Ren, J.Y. (2017). Spatiotemporal change and trend analysis of potential evapotranspiration over the Loess Plateau of China during 2011-2100. Agricultural and Forest Meteorology, 233, 183-194. https://doi.org/10.1016/j.agrformet.2016.11.129( View Details | Bibtex)
3. Peng, S.Z., Ding, Y.X., Liu, W.Z., & Li, Z. (2019). 1 km monthly temperature and precipitation dataset for China from 1901 to 2017. Earth System Science Data, 11, 1931–1946. https://doi.org/10.5194/essd-11-1931-2019( View Details | Bibtex)
4. Peng, S. , Gang, C. , Cao, Y. , & Chen, Y. . (2017). Assessment of climate change trends over the loess plateau in china from 1901 to 2100. International Journal of Climatology.( View Details | Bibtex)
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|South: 16.25||North: 55.56|