|Surface energy balance based global land evapotranspiration (EB-ET)|
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.
|Remote sensing evapotranspiration, energy balance, MODIS, land surface flux|
|：Xuelong Chen||：Building 3, 16# Lincui Road, Chaoyang District, Beijing 100101, China|
Data content: Global daily and monthly land evapotranspiration based on satellite data and energy balance method
Data source: Institute of Tibetan Plateau, CAS, China; ITC, University of Twente, the Netherlands
Purpose: water cycle and climate change
Time range: From 2000-03 to 2017-06
Spatial range: -90 ~ 90°N，-180 ~ 180°E
Spatial resolution: 0.05x0.05 degree
Data format: Matlab *.mat
Subject: Land surface water balance
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.
responsible person: Xuelong Chen
Institution: Institute of Tibetan Plateau Research, Chinese Academy of Sciences; ITC, University of Twente, the Netherlands
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.
ET for Amazon river basin:
Paca, V. H. d. M., et al. (2019). The spatial variability of actual evapotranspiration across the Amazon River Basin based on remote sensing products validated with flux towers.Ecological Processes 8(1): 6.
ET for Red River basin in Vietnam:
Ha, L. T., Bastiaanssen, W. G. M., van Griensven, A., van Dijk, A. I. J. M., and Senay, G. B.: SWAT-CUP for Calibration of Spatially Distributed Hydrological Processes and Ecosystem Services in a Vietnamese River Basin Using Remote Sensing, Hydrol. Earth Syst. Sci. Discuss., https://doi.org/10.5194/hess-2017-251, 2017.
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
Water balance of western Tibetan Plateau basin and Tarim basin:
Behrangi, A., et al. (2017). Using GRACE to constrain precipitation amount over cold mountainous basins. Geophysical Research Letters 44(1): 219-227.
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:
1. 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
2. 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.
3. Chen, X. 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.DOI: 10.5194/acp-14-13097-2014
|Surface energy balance based global land evapotranspiration|