The evapotranspiration data in the Heihe River basin (2009-2011)-National Tibetan Plateau Data Center

Near-surface atmospheric driving data prepared by ETMonitor and WRF models based on remote sensing surface evapotranspiration model were used to estimate the daily surface evapotranspiration of the heihe river basin at 1km from 2009 to 2011.The coordinate system is the longitude and latitude projection, and the spatial range is 96.5e -- 102.5e, 37.5n -- 43N.Using daily data storage, data format for GEOTIFF, naming: yyyyddd_EvapoTranspiration. tif, including yyyy for years, DDD for ordinal.The data type is single-precision floating point in mm/d and the invalid value is -9.

File naming and required software

File name: data stored in grid Geotiff format, the file name "yyyyddd_EvapoTranspiration. tif", including yyyy for years, ddd for ordinal. The data type is single-precision floating point in mm/d and the invalid value is -9.
Data reading method: Arcgis, Qgis and other software can be used to open and read.

Data Citations Data citation guideline What's data citation?

Cite as:

(2015). The evapotranspiration data in the Heihe River basin (2009-2011). National Tibetan Plateau Data Center, DOI: 10.3972/heihe.114.2013.db. (Download the reference： RIS | Bibtex )

Related Literatures:

1. Cui, Y.K., and L. Jia.（2014）. A Modified Gash Model for Estimating Rainfall Interception Loss of Forest Using Remote Sensing Observations at Regional Scale, Water, 6(4), 993–1012, doi:10.3390/w6040993.( View Details | Bibtex)

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

References literature

1.Hu G.C. and L. Jia. (2015). Monitoring of Evapotranspiration in a Semi-Arid Inland River Basin by Combining Microwave and Optical Remote Sensing Observations, Remote Sensing, 7(3), 3056-3087; doi:10.3390/rs70303056. (View Details )

2.Cui Y.K., Jia L., Hu G.C., Zhou J. (2015). Mapping of interception loss of vegetation in the Heihe River Basin of China using remote sensing observations. IEEE Geoscience and Remote Sensing Letters, 12(1), 23–27. (View Details | Download )

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