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Ma, Ning and Szilagyi, Jozsef, 2019. The CR of Evaporation: A Calibration-Free Diagnostic and Benchmarking Tool for Large-Scale Terrestrial Evapotranspiration Modeling. Water Resources Research, 55(8):7246–7274, doi:10.1029/2019WR024867.
• from the NASA Astrophysics Data System • by the DOI System •
@ARTICLE{2019WRR....55.7246M,
author = {{Ma}, Ning and {Szilagyi}, Jozsef},
title = "{The CR of Evaporation: A Calibration-Free Diagnostic and Benchmarking Tool for Large-Scale Terrestrial Evapotranspiration Modeling}",
journal = {Water Resources Research},
keywords = {complementary relationship, terrestrial evapotranspiration, ET modeling, land-atmosphere interactions},
year = 2019,
month = aug,
volume = {55},
number = {8},
pages = {7246-7274},
abstract = "{Monthly evapotranspiration (ET) rates for 1979-2015 were estimated by
the latest, calibration-free version of the complementary
relationship (CR) of evaporation over the conterminous United
States. The results were compared to similar estimates of three
land surface models (Noah, VIC, Mosaic), two reanalysis products
(National Centers of Environmental Protection Reanalysis II,
ERA-Interim), two remote-sensing-based (Global Land Evaporation
Amsterdam Model, Penman-Monteith-Leuning) algorithms, and the
spatially upscaled eddy-covariance ET measurements of FLUXNET-
MTE. Model validations were performed via simplified water-
balance derived ET rates employing Parameter-Elevation
Regressions on Independent Slopes Model precipitation, United
States Geological Survey two- and six-digit Hydrologic Unit Code
(HUC2 and HUC6) discharge, and terrestrial water storage
anomalies from Gravity Recovery and Climate Experiment, the
latter for 2003-2015. The CR outperforms all other multiyear
mean annual HUC2-averaged ET estimates with root-mean-square
error = 51 mm/year, R = 0.98, relative bias of -1\%, and Nash-
Sutcliffe efficiency = 0.94, respectively. Inclusion of the
Gravity Recovery and Climate Experiment data into the annual
water balances for the shorter 2003-2015 period does not have
much effect on model performance. Similarly, the CR outperforms
all other models for the linear trend of the annual ET rates
over the HUC2 basins. Over the significantly smaller HUC6 basins
where the water-balance validation is more uncertain, the CR
still outperforms all other models except FLUXNET-MTE, which has
the advantage of possible local ET measurements, a benefit that
clearly diminishes at the HUC2 scale. As the employed CR is
calibration-free and requires only very few meteorological
inputs, yet it yields superior ET performance at the regional
scale, it may serve as a diagnostic and benchmarking tool for
more complex and data intensive models of terrestrial
evapotranspiration rates.}",
doi = {10.1029/2019WR024867},
adsurl = {https://ui.adsabs.harvard.edu/abs/2019WRR....55.7246M},
adsnote = {Provided by the SAO/NASA Astrophysics Data System}
}
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