Surface energy balance based global land evapotranspiration

Monthly evapotranspiration for global land area from satellite data. The global 5 km monthly ET dataset is produced with the new revised SEBS algorithsm in Chen et al. 2013 (JAMC). MODIS LST, NDVI, Global forest height, GlobAlbedo have been used in this ET calculation. The ET dataset will be updated to near-present with the availability of near-present input dataset. The ET dataset is produced based on surface energy balance method. The global 5 km sensible heat flux, net radiation, ground heat flux will be open soon after some premilary evaluations. 

Evapotranspiration, monthly, remote sensing
:Xuelong Chen :Hengelostraat 99, Enschede, the Netherlands
:x.chen@utwente.nl

Data content: Global monthly evapotranspiration based on satellite data 

Data source: University of Twente, the Netherlands

Purpose: water cycle and climate change

Time range: From 2000-03 to 2015-12

Spatial range: -90 ~ 90°N,-180 ~ 180°E

Data format: Matlab *.mat

Subject: Land surface water balance

File name: 200012-ET-V1.mat, 2000-year, 12-month, ET-Evapotranspiration, V1-version 1 

unit: mm/month

Some information as following:

 1. Chen, X., Su, Z. etc,Application of remote sensing data in global evapotranspiration (ET) estimate,GlobTemperature User Consultation Meeting,25-26 June, 2014, Karlsruhe, Germany.  

 2. Chen, X., Su, Z., Ma, Y., Liu, S., Yu, Q., and Xu, Z., 2014: Development of a 10 year (2001–2010) 0.1° dataset of land-surface energy balance for mainland China, Atmos. Chem. Phys. Discuss., 14, 14471-14518, doi:10.5194/acpd-14-14471-2014. 

 3. Chen X., Su, Z., Ma, Y. M., et. al., 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): 623-633.

Chen, X., Su, Z., Ma, Y., Liu, S., Yu, Q., and Xu, Z., 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.   

In evaluation

Simons, G., et al. (2016). "Integrating Global Satellite-Derived Data Products as a Pre-Analysis for Hydrological Modelling Studies: A Case Study for the Red River Basin." Remote Sensing 8(4): 279

Peng, J., Loew, A., Chen, X., Ma, Y., and Su, Z.: Comparison of satellite-based evapotranspiration estimates over the Tibetan Plateau, Hydrol. Earth Syst. Sci., 20, 3167-3182, doi:10.5194/hess-20-3167-2016, 2016.

The data can only be utilized for academic research. Use of the data for other purposes (e.g. commercial use) is prohibited. No user is allowed to transfer the data to any third party. 

Users are suggested to refer to the following publications:

Chen, X., Su, Z., Ma, Y., Liu, S., Yu, Q., and Xu, Z., 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.             

Chen X., Su, Z., Ma, Y. M., et. al., 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): 623-633.      

DOI: 10.5194/acp-14-13097-2014
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Surface energy balance based global land evapotranspiration