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Titel |
Using satellite-based estimates of evapotranspiration and groundwater changes to determine anthropogenic water fluxes in land surface models |
VerfasserIn |
R. G. Anderson, M.-H. Lo, S. Swenson, J. S. Famiglietti, Q. Tang, T. H. Skaggs, Y.-H. Lin, R.-J. Wu |
Medientyp |
Artikel
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Sprache |
Englisch
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ISSN |
1991-959X
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Digitales Dokument |
URL |
Erschienen |
In: Geoscientific Model Development ; 8, no. 10 ; Nr. 8, no. 10 (2015-10-02), S.3021-3031 |
Datensatznummer |
250116592
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Publikation (Nr.) |
copernicus.org/gmd-8-3021-2015.pdf |
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Zusammenfassung |
Irrigation is a widely used water management practice that is often poorly
parameterized in land surface and climate models. Previous studies have
addressed this issue via use of irrigation area, applied water inventory
data, or soil moisture content. These approaches have a variety of drawbacks
including data latency, accurately prescribing irrigation intensity, and a
lack of conservation of water volume for models using a prescribed soil
moisture approach. In this study, we parameterize irrigation fluxes using
satellite observations of evapotranspiration (ET) compared to ET from a suite
of land surface models without irrigation. We then incorporate the irrigation
flux into the Community Land Model (CLM) and use a systematic
trial-and-error procedure to determine the ground- and surface-water
withdrawals that are necessary to balance the new irrigation flux. The
resulting CLM simulation with irrigation produces ET that matches the
magnitude and seasonality of observed satellite ET well, with a mean
difference of 6.3 mm month−1 and a correlation of 0.95. Differences
between the new CLM ET values and satellite-observed ET values are always
less than 30 mm month−1 and the differences show no pattern with
respect to seasonality. The results reinforce the importance of accurately
parameterizing anthropogenic hydrologic fluxes into land surface and climate
models to assess environmental change under current and future climates and
land management regimes. |
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