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<article language="en">
	<journal>
		<journal_title>Hydrology and Earth System Sciences Discussions</journal_title>
		<journal_url>www.hydrol-earth-syst-sci-discuss.net</journal_url>
		<issn>1812-2108</issn>
		<eissn>1812-2116</eissn>
		<volume_number>6</volume_number>
		<issue_number>1</issue_number>
		<publication_year>2009</publication_year>
	</journal>
	<doi>10.5194/hessd-6-697-2009</doi>
	<article_url>http://www.hydrol-earth-syst-sci-discuss.net/6/697/2009/</article_url>
	<abstract_html>http://www.hydrol-earth-syst-sci-discuss.net/6/697/2009/hessd-6-697-2009.html</abstract_html>
	<fulltext_pdf>http://www.hydrol-earth-syst-sci-discuss.net/6/697/2009/hessd-6-697-2009.pdf</fulltext_pdf>
	<start_page>697</start_page>
	<end_page>728</end_page>
	<publication_date>2009-02-05</publication_date>
	<article_title content_type="html">Simulation of the soil water balance of wheat using daily weather forecast messages to estimate the reference evapotranspiration</article_title>
	<authors>
		<author numeration="1" affiliations="1">
			<name>J. Cai</name>
		</author>
		<author numeration="2" affiliations="1">
			<name>Y. Liu</name>
		</author>
		<author numeration="3" affiliations="1">
			<name>D. Xu</name>
		</author>
		<author numeration="4" affiliations="2">
			<name>P. Paredes</name>
		</author>
		<author numeration="5" affiliations="2">
			<name>L. S. Pereira</name>
		</author>
	</authors>
	<affiliations>
		<affiliation numeration="1" content_type="html">Department of Irrigation &amp; Drainage, China Institute of Water Resources and Hydropower Research, Beijing 100044, China</affiliation>
		<affiliation numeration="2" content_type="html">Agricultural Engineering Research Center, Institute of Agronomy, Technical University of Lisbon, Tapada da Ajuda, 1349-017 Lisbon, Portugal</affiliation>
	</affiliations>
	<abstract content_type="html">Aiming at developing real time water balance modelling for irrigation
scheduling, this study assesses the accuracy of using the reference
evapotranspiration (&lt;i&gt;ET&lt;sub&gt;o&lt;/sub&gt;&lt;/i&gt;) estimated from daily weather forecast messages
(&lt;i&gt;ET&lt;sub&gt;o,WF&lt;/sub&gt;&lt;/i&gt;) as model input. A previous study applied to eight locations in
China (Cai et al., 2007) has shown the feasibility for estimating
&lt;i&gt;ET&lt;sub&gt;o,WF&lt;/sub&gt;&lt;/i&gt; with the FAO Penmam-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 &lt;i&gt;ET&lt;sub&gt;o,WF&lt;/sub&gt;&lt;/i&gt; with &lt;i&gt;ET&lt;sub&gt;o&lt;/sub&gt;&lt;/i&gt;
computed with observed data (&lt;i&gt;ET&lt;sub&gt;o&lt;/i&gt;, obs&lt;/sub&gt;) have shown favourable goodness of
fitting indicators and a RMSE of 0.77 mm d&lt;sup&gt;&amp;minus;1&lt;/sup&gt;. &lt;i&gt;ET&lt;sub&gt;o&lt;/sub&gt;&lt;/i&gt; was underestimated in
the first year and overestimated in the second. The water balance model
ISAREG was calibrated and validated for both years using &lt;i&gt;ET&lt;sub&gt;o&lt;/i&gt;, obs&lt;/sub&gt; by
comparing the predicted and observed soil water content relative to various
irrigation treatments. The calibrated crop parameters were used in the
simulations of the same treatments using &lt;i&gt;ET&lt;sub&gt;o,WF&lt;/sub&gt;&lt;/i&gt; as model input. Errors in
predicting the soil water balance are small, 0.010 and 0.012 m&lt;sup&gt;3&lt;/sup&gt; m&lt;sup&gt;&amp;minus;3&lt;/sup&gt; respectively
for the first and second year. Other indicators also confirm
the goodness of model predictions. It could be concluded that using
&lt;i&gt;ET&lt;sub&gt;o&lt;/sub&gt;&lt;/i&gt; computed from daily weather forecast messages provides for accurate
model predictions, thus making it viable to use an irrigation scheduling
model in real time with daily weather forecast messages.</abstract>
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</article>
