Benchmark products for land evapotranspiration: LandFlux-EVAL multi-data set 
synthesis

Mueller, B.; Hirschi, M.; Jimenez, C.; Ciais, P.; Dirmeyer, P. A.; Dolman, A. J.; Fisher, J. B.; Jung, Martin; Ludwig, F.; Maignan, F.; Miralles, D. G.; McCabe, M. F.; Reichstein, Markus; Sheffield, J.; Wang, K.; Wood, E. F.; Zhang, Y.; Seneviratne, S. I.

doi:10.5194/hess-17-3707-2013

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Benchmark products for land evapotranspiration: LandFlux-EVAL multi-data set synthesis

MPS-Authors

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Jung, Martin
Global Diagnostic Modelling, Dr. Martin Jung, Department Biogeochemical Integration, Dr. M. Reichstein, Max Planck Institute for Biogeochemistry, Max Planck Society;

/persons/resource/persons62524

Reichstein, Markus
Department Biogeochemical Integration, Dr. M. Reichstein, Max Planck Institute for Biogeochemistry, Max Planck Society;

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http://dx.doi.org/10.5194/hess-17-3707-2013
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引用

Mueller, B., Hirschi, M., Jimenez, C., Ciais, P., Dirmeyer, P. A., Dolman, A. J., Fisher, J. B., Jung, M., Ludwig, F., Maignan, F., Miralles, D. G., McCabe, M. F., Reichstein, M., Sheffield, J., Wang, K., Wood, E. F., Zhang, Y., & Seneviratne, S. I. (2013). Benchmark products for land evapotranspiration: LandFlux-EVAL multi-data set synthesis. Hydrology and Earth System Sciences, 17, 3707-3720. doi:10.5194/hess-17-3707-2013.

引用: https://hdl.handle.net/11858/00-001M-0000-0014-C0A7-F

要旨

Land evapotranspiration (ET) estimates are available
from several global data sets. Here, monthly global
land ET synthesis products, merged from these individual
data sets over the time periods 1989–1995 (7 yr) and 1989–
2005 (17 yr), are presented. The merged synthesis products
over the shorter period are based on a total of 40 distinct
data sets while those over the longer period are based on
a total of 14 data sets. In the individual data sets, ET is
derived from satellite and/or in situ observations (diagnostic
data sets) or calculated via land-surface models (LSMs)
driven with observations-based forcing or output from atmospheric
reanalyses. Statistics for four merged synthesis products
are provided, one including all data sets and three including
only data sets from one category each (diagnostic,
LSMs, and reanalyses). The multi-annual variations of ET
in the merged synthesis products display realistic responses.
They are also consistent with previous findings of a global
increase in ET between 1989 and 1997 (0.13mmyr−2 in our
merged product) followed by a significant decrease in this
trend (−0.18mmyr−2), although these trends are relatively
small compared to the uncertainty of absolute ET values. The
global mean ET from the merged synthesis products (based
on all data sets) is 493mmyr−1 (1.35mmd−1) for both
the 1989–1995 and 1989–2005 products, which is relatively
low compared to previously published estimates. We estimate
global runoff (precipitation minus ET) to 263mmyr−1
(34 406 km3 yr−1) for a total land area of 130 922 000 km2.
Precipitation, being an important driving factor and input to
most simulated ET data sets, presents uncertainties between
single data sets as large as those in the ET estimates. In order
to reduce uncertainties in current ET products, improving
the accuracy of the input variables, especially precipitation, as well as the parameterizations of ET, are crucial.