Articles | Volume 24, issue 3
Hydrol. Earth Syst. Sci., 24, 1485–1509, 2020
https://doi.org/10.5194/hess-24-1485-2020
Hydrol. Earth Syst. Sci., 24, 1485–1509, 2020
https://doi.org/10.5194/hess-24-1485-2020

Research article 31 Mar 2020

Research article | 31 Mar 2020

Evaluation of global terrestrial evapotranspiration using state-of-the-art approaches in remote sensing, machine learning and land surface modeling

Shufen Pan et al.

Data sets

MOD16A_MONTHLY.MERRA_GMAO_1kmALB S. W. Running http://files.ntsg.umt.edu/data/NTSG_Products/MOD16/

Latent heat flux on land M. Jung https://www.bgc-jena.mpg.de/geodb/projects/FileDetails.php

P-LSH ET K. Zhang http://files.ntsg.umt.edu/data/ET_global_monthly/Global_8kmResolution/

Monthly global observation-driven Penman-Monteith-Leuning (PML) evapotranspiration and components Y. Zhang https://data.csiro.au/dap/landingpage?pid=csiro:17375

GIMMS NDVI3gV1 J. E. Pinzon and C. J. Tucker https://ecocast.arc.nasa.gov/data/pub/gimms/3g.v1/

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Short summary
Evapotranspiration (ET) links global water, carbon and energy cycles. We used 4 remote sensing models, 2 machine-learning algorithms and 14 land surface models to analyze the changes in global terrestrial ET. These three categories of approaches agreed well in terms of ET intensity. For 1982–2011, all models showed that Earth greening enhanced terrestrial ET. The small interannual variability of global terrestrial ET suggests it has a potential planetary boundary of around 600 mm yr-1.