China meteorological assimilation driving datasets for the SWAT model Version 1.0 (2008-2016)
Cmads -- file path and name description of each subset of SWAT drive data
Cmads -- SWAT drive data subset path
1) The Swat sub data drive set of cmads (in the for SWAT folder), which contains the station \ and fork \ subdirectories.
The station \ directory is all the input data (day by day) required by SWAT model. The above input data are located in the following directories:
Relative humidity-58500 \ daily average relative humidity (fraction)
Precipitation-58500 \ daily accumulated precipitation (mm)
Solar radiation-58500 \ daily average solar radiation (MJ / m2)
Temperature-58500 \ daily maximum and minimum temperature of 2m (℃)
Wind-58500 \ daily average 10m wind speed (M / s)
Cmads -- SWAT drive data subset naming format
Name of SWAT subset file of China's air data assimilation SWAT model data set (cmads):
The data set code consists of element code: R, P, s, t, W + dimension grid number - longitude grid number (for the extraction of longitude and latitude grid number, please refer to cmads data set user manual. PDF).
Meng, X., Wang, H. (2018). China meteorological assimilation driving datasets for the SWAT model Version 1.0 (2008-2016). National Tibetan Plateau Data Center, DOI: 10.11888/Meteoro.tpdc.270543. CSTR: 18406.11.Meteoro.tpdc.270543. (Download the reference： RIS | Bibtex )Related Literatures:
1. Meng, X.Y., Shi, C.X., Liu, S.Y., Wang, H., Lei, X.H., Liu, Z.H., Ji, X.N., Cai, S.Y., Zhao, Q.D. (2016). CMADS Datasets and Its Application in Watershed Hydrological Simulation: A Case Study of the Heihe River Basin. Pearl River, 37(7), 1-19.( View Details | Bibtex)
Using this data, the data citation is required to be referenced and the related literatures are suggested to be cited.
1.Meng, X.Y., Ji, X.N., Liu, Z.H., et al. (2014). Research on Improvement and Application of Snowmelt Module in SWAT[J]. Journal of Natural Resources, 29(3), 528-539. (View Details )
2.Wang, Y.J. & Meng, X.Y. (2016).Snowmelt runoff analysis under generated climate change scenarios for the Juntanghu River basin in Xinjiang, China. Tecnología y Ciencias del Agua, 7(4), 41-54 (View Details )
3.Ren, Z.H., Xiong, A.Y. (2007). Operational system development on three-step quality control of observations from AWS, Meteorological monthly, (01), 19-24. (View Details )
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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).
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