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| Titel |
Simulation of the soil water balance of wheat using daily weather forecast messages to estimate the reference evapotranspiration |
| VerfasserIn |
J. B. Cai, Y. Liu, D. Xu, P. Paredes, L. S. Pereira |
| 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 ; 13, no. 7 ; Nr. 13, no. 7 (2009-07-09), S.1045-1059 |
| Datensatznummer |
250011929
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| Publikation (Nr.) |
 copernicus.org/hess-13-1045-2009.pdf |
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| Zusammenfassung |
| Aiming at developing real time water balance modelling for irrigation
scheduling, this study assesses the accuracy of using the reference
evapotranspiration (ETo) estimated from daily weather forecast messages
(ETo,WF) as model input. A previous study applied to eight locations in
China (Cai et al., 2007) has shown the feasibility for estimating
ETo,WF with the FAO Penman-Monteith equation using daily forecasts of
maximum and minimum temperature, cloudiness and wind speed. In this study,
the global radiation is estimated from the difference between the forecasted
maximum and minimum temperatures, the actual vapour pressure is estimated
from the forecasted minimum temperature and the wind speed is obtained from
converting the common wind scales into wind speed. The present application
refers to a location in the North China Plain, Daxing, for the wheat crop
seasons of 2005–2006 and 2006–2007. Results comparing ETo,WF with ETo
computed with observed data (ETo,obs) have shown favourable goodness of
fitting indicators and a RMSE of 0.77 mm d−1. ETo was underestimated in
the first year and overestimated in the second. The water balance model
ISAREG was calibrated with data from four treatments for the first season
and validated with data of five treatments in the second season using
observed weather data. The calibrated crop parameters were used in the
simulations of the same treatments using ETo,WF as model input. Errors in
predicting the soil water content are small, 0.010 and 0.012 m3 m−3, respectively for the first and second year. Other indicators
also confirm the goodness of model predictions. It could be concluded that
using ETo computed from daily weather forecast messages provides for
accurate model predictions and to use an irrigation scheduling model in real
time. |
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