Terrestrial actual evapotranspiration (ET), including evaporation from soil and water surfaces, evaporation of rainfall interception, transpiration of vegetation canopy and sublimation of snow and glaciers, is an important component of the terrestrial water cycle and links the hydrological, energy, and carbon cycles. The dataset of ETMonitor-GlobalET-2013-2014 is obtained based on ETMonitor model, which combines parameterizations for different processes and land cover types, with multi-source satellite data as input. Several remote sensing based variables, e.g. net radiation flux and dynamic water body area, and meteorological variables from ERA5 reanalysis dataset, were used as input to estimate daily ET. The ET estimation is conducted at daily temporal step and 1km spatial resolution, and the generated global ET dataset is at 5km resolution and daily time step for publication. The data type is 16-bit signed integer, the scale factor is 0.1, and the unit is mm/day.

File naming and required software

The data is stored in geotiff format. The file name is ETMonitor.ETyyydoy.v001.tif, where yyyy represents the year and doy represents the day of the year. For example, ETMonitor.ET2013001.v001.tif represents this geotiff file is for the global land surface evapotranspiration on the first day of 2013.

Data Citations Data citation guideline What's data citation?

Cite as:

Zheng, C., Jia, L., Hu, G. (2019). Global Land Surface Actual Evapotranspiration (2013-2014). A Big Earth Data Platform for Three Poles, DOI: 10.11888/Hydro.tpdc.270298. CSTR: 18406.11.Hydro.tpdc.270298. (Download the reference： RIS | Bibtex )

Related Literatures:

1. Jia, L., Zheng, C., Hu, G.C., and Menenti, M. (2018). Evapotranspiration, In Comprehensive Remote Sensing, edited by Shunlin Liang, Elsevier, Oxford, Pages 25-50. https://doi.org/10.1016/B978-0-12-409548-9.10353-7.( View Details | Bibtex)

2. Hu, G., Jia, L. (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.( View Details | Bibtex)

3. Zheng, C., Jia, L., Hu, G., Lu, J., Wang, K., Li, Z. (2016). Global Evapotranspiration derived by ETMonitor model based on Earth Observations. 2016 IEEE International Geoscience and Remote Sensing Symposium: 222-225. DOI: 10.1109/IGARSS.2016.7729049.( View Details | Bibtex)

4. Chen, Q., Jia, L., Menenti, M., Hutjes, R., Hu, G., Zheng, C., Wang, K. (2019). A Numerical Analysis of Aggregation Error in Evapotranspiration Estimates Due to Heterogeneity of Soil Moisture and Leaf Area Index. Agriculture and Forest Meteorology, 269-270, 335-350. doi: https://doi.org/10.1016/j.agrformet.2019.02.017.( View Details | Bibtex)

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

Support Program

Understanding of Land Surface Energy and Water Exchange Processes and its Scaling Mechanism by Combining High Resolution Satellite Observations and Simulation Studies (No:2015CB953702)

Satellite observation and simulation studies of the land surface water and energy exchange processes and its effects on global changes (No:2015CB953700)

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