Global gridded near-surface wind speed dataset on a monthly scale (1973-2021)
The data is stored in a NetCDF file named GGWS-PCNN wind_ speed-yyyymmyyyymm_ vX.nc. With "GGWS-PCNN wind_ speed-197301202012_ v312202105p. nc" as an example, "GGFS-PCNN" is the English abbreviation of the dataset (from the global gridded monthly wind speed dataset by the partial volatile neural network), "wind_ speed" indicates that the dataset stores wind speed variables, "197301202012" denotes that the period of the data is from Jan. 1973 to Dec. 2020, and v312202105p represents that the dataset uses HadISD data with the version of v312202105p. The data can be processed by Matlab, ArcGIS and other software.
Notice: Due to the limitations of existing AI algorithms in reconstructing data with many missing values, our product has a small number of outliers (e.g. wind speeds less than zero or very high), most of which are located in the Antarctic region. We recommend you remove these outliers before using this dataset.
Zhou, L., Zeng, Z., Jiang, X. (2022). Global gridded near-surface wind speed dataset on a monthly scale (1973-2021). National Tibetan Plateau Data Center, DOI: 10.11888/Atmos.tpdc.272893. CSTR: 18406.11.Atmos.tpdc.272893. (Download the reference： RIS | Bibtex )Related Literatures:
1. Zhou, L.H., Liu., H.F., Jiang, X., Ziegler, A.D., Azorin-Molina, C., Liu, J., & Zeng, Z.Z. (2022). An artificial intelligence reconstruction of global gridded surface winds. Science Bulletin, online.( View Details | Bibtex)
Using this data, the data citation is required to be referenced and the related literatures are suggested to be cited.
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Example of acknowledgement statement is included below: The data set is provided by National Tibetan Plateau Data Center (http://data.tpdc.ac.cn).
License： This work is licensed under an Attribution 4.0 International (CC BY 4.0)
6.HiWATER: Dataset of flux observation matrix (eddy covariance system of Zhangye wetland Station) of the MUlti-Scale Observation EXperiment on Evapotranspiration over heterogeneous land surfaces 2012 (MUSOEXE-12)
Ftp server: ftp1.tpdc.ac.cn
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Ftp password: 95733387
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