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| Titel |
Coupling a land-surface model with a crop growth model to improve ET flux estimations in the Upper Ganges basin, India |
| VerfasserIn |
G. M. Tsarouchi, W. Buytaert, A. Mijic |
| Medientyp |
Artikel
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| Sprache |
Englisch
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| ISSN |
1027-5606
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| Digitales Dokument |
URL |
| Erschienen |
In: Hydrology and Earth System Sciences ; 18, no. 10 ; Nr. 18, no. 10 (2014-10-28), S.4223-4238 |
| Datensatznummer |
250120506
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| Publikation (Nr.) |
 copernicus.org/hess-18-4223-2014.pdf |
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| Zusammenfassung |
| Land-Surface Models (LSMs) are tools that represent energy and water flux
exchanges between land and the atmosphere. Although much progress
has been made in adding detailed physical processes into these
models, there is much room left for improved estimates of
evapotranspiration fluxes, by including a more reasonable and
accurate representation of crop dynamics. Recent studies suggest
a strong land-surface–atmosphere coupling over India and since this
is one of the most intensively cultivated areas in the world, the
strong impact of crops on the evaporative flux cannot be
neglected. In this study we dynamically couple the LSM JULES with the crop growth model InfoCrop. JULES in its
current version (v3.4) does not simulate crop growth. Instead, it treats
crops as natural grass, while using prescribed vegetation
parameters. Such simplification might lead to modelling
errors. Therefore we developed a coupled modelling scheme that
simulates dynamically crop development and parametrized it for the
two main crops of the study area, wheat and rice. This setup is used
to examine the impact of inter-seasonal land cover changes in
evapotranspiration fluxes of the Upper Ganges River basin
(India). The sensitivity of JULES with regard to the dynamics of the
vegetation cover is evaluated. Our results show that the model is
sensitive to the changes introduced after coupling it with the crop
model. Evapotranspiration fluxes, which are significantly different
between the original and the coupled model, are giving an
approximation of the magnitude of error to be expected in LSMs that
do not include dynamic crop growth. For the wet season, in the
original model, the monthly Mean Error ranges from
7.5 to 24.4 mm month−1, depending on
different precipitation forcing. For the same season, in the coupled
model, the monthly Mean Error's range is reduced
to 5.4–11.6 mm month−1. For the dry season, in the original
model, the monthly Mean Error ranges from 10 to
17 mm month−1, depending on different precipitation
forcing. For the same season, in the coupled model, the monthly Mean
Error's range is reduced to 2.2–3.4 mm month−1. The new
modelling scheme, by offering increased accuracy of
evapotranspiration estimations, is an important step towards
a better understanding of the two-way crops–atmosphere
interactions. |
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