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| Titel |
Assessment of daily reference evapotranspiration in Sicily by means of POWER-NASA agro-climatology archive |
| VerfasserIn |
Amro Negm, Jay Jabro, Giuseppe Provenzano |
| Konferenz |
EGU General Assembly 2016
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| Medientyp |
Artikel
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| Sprache |
Englisch
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| Digitales Dokument |
PDF |
| Erschienen |
In: GRA - Volume 18 (2016) |
| Datensatznummer |
250121892
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| Publikation (Nr.) |
 EGU/EGU2016-775.pdf |
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| Zusammenfassung |
| The importance of evapotranspiration, ET, processes has long been recognized in many
disciplines, including hydrologic and drainage studies as well as for irrigation system design
and management. A wide number of equations have been proposed to estimate crop reference
evapotranspiration, ET0, based on the variables affecting the process. When a full data set of
climate variables is available, the Food and Agriculture Organization (FAO) of the United
Nations recommended to use the physically based FAO-56 Penman-Monteith equation. The
lack of climate variables and particularly of solar radiation has led several researchers to
propose simplified ET0 estimation equations using a limited number of climate variables.
These equations, however, need site-specific validation prior to their use and cannot be
generalized. Recently, the American National Aeronautics and Space Administration
(NASA), created an efficient and open access agro-climatology archive in the frame of
the Prediction Of Worldwide Energy Resource (POWER) project containing, on
global scale, a long-series of meteorological variables and surface solar energy
fluxes.
The main objective of the research was to assess the suitability of POWER-NASA open
access archive to estimate daily reference evapotranspiration, ET0, in Sicily, for the period
2006-2014. Daily ET0 were evaluated according to FAO-56 PM equation, by considering the
POWER-NASA database characterized by a grid resolution of 1˚ latitude × 1˚ longitude,
as well as the climate data measured on the ground, by a network of 36 meteorological
stations installed in Sicily and belonging to the Agro-meteorological Information Service
(SIAS).
After comparing the climate data available in both databases (minimum, maximum and
average air temperature and relative air humidity, wind speed, solar radiation and air
pressure), a statistical comparison was also carried out on ET0 values estimated
with the FAO-56 PM equation. The analysis showed a good correlation between
the climate variables of both the databases; in addition, ET0values estimated with
POWER-NASA database resulted comparable to those obtained by using the SIAS records,
with bias and root mean square error equal, on average, to 0.18 mm and 1 mm,
respectively.
The results support the possibility to obtain suitable estimations of daily ET0 based on the
POWER-NASA agro-climatology archive, even to other Mediterranean countries where most
of climate variables are not measured. |
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