Different forms of precipitation (snow, sleet, and rain) have divergent effects on the Earth’s surface water and energy fluxes. Therefore, discriminating between these forms is of significant importance, especially under a changing climate. We applied a state-of-the-art parameterization scheme with wet-bulb temperature, relative humidity, surface air pressure, and elevation as inputs, as well as observational gridded datasets with a maximum spatial resolution of 0.25◦, to generate a gridded dataset of different forms of daily precipitation (snow, sleet, and rain) and their temperature threshold across mainland China from 1961-2016. The annual snow, sleet, and rain amount were further calculated. The dataset may benefit various research communities, such as cryosphere science, hydrology, ecology, and climate change.

File naming and required software

The data includes five files: snowfall, sleet, rainfall, snow-sleet temperature threshold (Tmin), and sleet-rainfall temperature threshold (Tmax), and their annual and daily scales are further stored separately. Data in .nc form can be read in MATLAB, Python, NCL and other programming languages, and can also be visualized in panoply.

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Cite as:

Su, B., Zhao, H. (2022). A gridded dataset of different forms of precipitation (snow, sleet, and rain) and their wet-bulb temperature threshold across mainland China from 1961-2016. A Big Earth Data Platform for Three Poles, DOI: 10.11888/Atmos.tpdc.272654. CSTR: 18406.11.Atmos.tpdc.272654. (Download the reference： RIS | Bibtex )

Related Literatures:

1. Su, B., Xiao, C.D., Zhao, H.Y., Huang, Y., Dou, T.F., Wang, X.J., & Chen, D.L. (2022). Estimated changes in different forms of precipitation (snow, sleet, and rain) across mainland China. Atmospheric Research.( View Details | Bibtex)

Using this data, the data citation is required to be referenced and the related literatures are suggested to be cited.

Copyright & License

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License： This work is licensed under an Attribution 4.0 International (CC BY 4.0)