Daily and Monthly evapotranspiration (5km x 5km spatial resolution) for global land area was derived from satellite data and a surface energy balance method (EB). The global 5 km daily and monthly ET dataset is produced with the revised SEBS algorithm in Chen et al. 2019 JGR and Chen et al. 2013 (JAMC). MODIS LST, NDVI, Global forest height, GlobAlbedo, GLASS LAI have been used in this ET calculation. The ET dataset will be updated to near-present with the availability of input dataset. The global 5 km sensible heat flux, net radiation, latent heat flux will be open with the email contact with Dr. Xuelong Chen.
Daily ET File name: 20001201-ET-V1.mat, 2000-year, 12-month,01-day, ET-Evapotranspiration, V1-version 1;unit: mm/day (unit8 need transfer to single or double and should be divided by 10);data type: unit8 was used to save the disk space, 255 is used for ocean and water body pixels.
Monthly ET File name: ETm200012-ET-V1.mat, 2000-year, 12-month, ET-Evapotranspiration, V1-version 1;unit: mm/month (int16 need transfer to single or double and should be divided by 10);data type: int16 was used to save the disk space, 0 is used for ocean and water body pixels.
The daily ET dataset is produced with a similar method and satellite data as in Chen, X., et al., 2014: Development of a 10 year (2001–2010) 0.1° dataset of land-surface energy balance for mainland China, Atmos. Chem. Phys., 14, 13097–13117, doi:10.5194/acp-14-13097-2014. The calculation of roughness length and kB_1 for global land were updated by the method in Chen, X., et al, 2019, A Column Canopy‐Air Turbulent Diffusion Method for Different Canopy Structures, Journal of Geophysical Research: Atmospheres, 2019.01.15, 124. Most of the satellite input data were from MODIS. Meteorological data was from ERA-Interim. Global canopy height information was derived from GLAS and MODIS NDVI.
The daily ET has a mean bias (MB) of 0.04 mm/day, RMSE is 1.56 (±0.25) mm/day.
CHEN Xuelong. Surface energy balance based global land evapotranspiration (EB-ET 2000-2017). National Tibetan Plateau Data Center, 2018. DOI: 10.5194/acp-14-13097-2014. (Download the reference： RIS | Bibtex )
Related Literatures:1. Chen, X.L., et al. (2019). A Column Canopy‐Air Turbulent Diffusion Method for Different Canopy Structures. Journal of Geophysical Research: Atmospheres, 124(2), 488-506.( View Details | Bibtex)
2. Chen, X.L., Su, Z.B., Ma, Y.M., Liu, S.Q., Yu, Q., Xu, Z. (2014). Development of a 10 year (2001–2010) 0.1 degrees dataset of land-surface energy balance for mainland China. Atmospheric Chemistry and Physics, 14(23), 13097–13117.( View Details | Bibtex)
3. Chen, X.L., Su, Z.B., Ma, Y.M., Yang, K., Wen, J., Zhang, Y. (2012). An Improvement of Roughness Height Parameterization of the Surface Energy Balance System (SEBS) over the Tibetan Plateau. Journal of Applied Meteorology and Climatology, 52(3), 607-622.( View Details | Bibtex)
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