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)
2. Shi C X, Xie Z H, Qian H, et al. China land soil moisture EnKF data assimilation based on satellite remote sensing data. Sci China Earth Sci, 2011, doi: 10.1007/s11430-010-4160-3( 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.Shi, C.X., Xie, Z.H. (2008). A Time Downscaling Scheme of Precipitation by Using Geostationary Meteorological Satellite Data, Progress in Geography, 27(4), 15-22. (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 )
4.Zhang, T. (2013). Multi-source data fusion and application research base on LAPS/STMAS, Master Thesis, Nanjing: Nanjing university of information science and technology. (View Details )
5.Meng, X.Y., Wang, H., Wu, Y.P., Long, A.H., Wang, J.H., Shi, C.X. et al. (2017). Investigating spatiotemporal changes of the land surface processes in Xinjiang using high-resolution CLM3.5 and CLDAS: Soil temperature. Scientific Reports. 7. doi:10.1038/s41598-017-10665-8. (View Details )
6.Meng, X.Y., Wang, H., Liu, Z.H., Shi, C.X., Liu, S.Y., Chen, X., Gong, W.W. (2017). Simulation and verification ofland surface soil temperatures in the Xinjiang Region by the CLM3.5 model forced by CLDAS. Acta Ecologica Sinica, 37(3), 979-995． (View Details )
7.Meng, X.Y., Wang, H., et al. (2017). Simulation, validation, and analysis of the Hydrological components of Jing and Bo River Basin based on the SWAT model driven by CMADS. ACTA ECOLOGICA SINICA. 39(3). DOI:10.5846/stxb201608231719. (View Details )
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