Daily MODIS-based land surface evapotranspiration dataset in Qilian Mountain Area (ETHi-merge V1) (2018)
File Naming Convention: YYYYMMDD.tiff (YYYY: year, MM: month, DD: day);
Data Version:V1.0;
Projection:+proj=longlat +datum=WGS84 +no_defs;
Data Format: GeoTIFF, 1079 rows ×1791 columes;
Unit: W/m2;
Valid Range:0~500;
Filled Value:-300。
Yao, Y., Liu, S., Shang, K. (2019). Daily MODIS-based land surface evapotranspiration dataset in Qilian Mountain Area (ETHi-merge V1) (2018). National Tibetan Plateau Data Center, DOI: 10.11888/Geogra.tpdc.270192. CSTR: 18406.11.Geogra.tpdc.270192. (Download the reference: RIS | Bibtex )
Related Literatures:1. Yao, Y. J., Liang, S. L., Li, X. L., Chen, J. Q., Liu, S. M., Jia, K., Zhang, X. T., Xiao, Z. Q., Fisher, J. B., Mu, Q. Z., Pan, M., Liu, M., Cheng, J., Jiang, B., Xie, X. H., Grünwald, T., Bernhofer, C., & Roupsard, O. (2017). Improving global terrestrial evapotranspiration estimation using support vector machine by integrating three process-based algorithms. Agricultural and Forest Meteorology, 242, 55-74.( View Details | Bibtex)
Using this data, the data citation is required to be referenced and the related literatures are suggested to be cited.
1.Mu Q. Z., Zhao M. S., & Running S. W. (2011). Improvements to a MODIS global terrestrial evapotranspiration algorithm. Remote Sensing of Environment, 115(8), 1781-1800. (View Details )
2.Shuttleworth, W. J., & Wallace, J. S. (1985). Evaporation from sparse crops-An energy combination theory. Quarterly Journal of the Royal Meteorological Society, 111, 839–855. (View Details )
3.Fisher J. B., Tu K. P., & Baldocchi D. D. (2008). Global estimates of the land–atmosphere water flux based on monthly AVHRR and ISLSCP-II data, validated at 16 FLUXNET sites. Remote Sensing of Environment, 112(3), 901-919. (View Details )
4.Yao, Y. J., Liang, S. L., Cheng, J., Liu, S. M., Fisher, J. B., Zhang, X. D., Jia, K., Zhao, X., Qin, Q. M., Zhao, B., Han, S. J., Zhou, G. S., Zhou, G. Y., Li, Y. L., & Zhao, S. H. (2013). MODIS-driven estimation of terrestrial latent heat flux in China based on a modified Priestly-Taylor algorithm. Agricultural and Forest Meteorology, 171–172, 187–202. (View Details )
5.Wang K. C., Dickinson R. E., Wild, M., & Liang, S. L. (2010). Evidence for decadal variation in global terrestrial evapotranspiration between 1982 and 2002: 1. Model development. Journal of Geophysical Research Atmospheres, 115(D20), 898-907. (View Details )
6.Wang K. C., & Liang S. L. (2008). An improved method for estimating global evapotranspiration based on satellite determination of surface net radiation, vegetation index, temperature, and soil moisture. J. Hydrometeorol, 9, 712–727. (View Details )
Pan-Third Pole Environment Study for a Green Silk Road-A CAS Strategic Priority A Program (No:XDA20000000)
the Strategic Priority Research Program of the Chinese Academy of Sciences (No:XDA20100101) [XDA20100101]
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East: 107.02 | West: 89.11 |
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South: 34.20 | North: 44.99 |
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