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| Titel |
A stochastic ensemble-based model to predict crop water requirements from numerical weather forecasts and VIS-NIR high resolution satellite images in Southern Italy |
| VerfasserIn |
Anna Pelosi, Salvatore Falanga Bolognesi, Carlo De Michele, Hanoi Medina Gonzalez, Paolo Villani, Guido D'Urso, Giovanni Battista Chirico |
| Konferenz |
EGU General Assembly 2015
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| Medientyp |
Artikel
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| Sprache |
Englisch
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| Digitales Dokument |
PDF |
| Erschienen |
In: GRA - Volume 17 (2015) |
| Datensatznummer |
250105153
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| Publikation (Nr.) |
 EGU/EGU2015-4606.pdf |
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| Zusammenfassung |
| Irrigation agriculture is one the biggest consumer of water in Europe, especially in southern
regions, where it accounts for up to 70% of the total water consumption. The EU Common
Agricultural Policy, combined with the Water Framework Directive, imposes to farmers and
irrigation managers a substantial increase of the efficiency in the use of water in agriculture
for the next decade. Ensemble numerical weather predictions can be valuable data for
developing operational advisory irrigation services.
We propose a stochastic ensemble-based model providing spatial and temporal estimates
of crop water requirements, implemented within an advisory service offering detailed maps
of irrigation water requirements and crop water consumption estimates, to be used by water
irrigation managers and farmers.
The stochastic model combines estimates of crop potential evapotranspiration retrieved
from ensemble numerical weather forecasts (COSMO-LEPS, 16 members, 7 km resolution)
and canopy parameters (LAI, albedo, fractional vegetation cover) derived from high
resolution satellite images in the visible and near infrared wavelengths. The service provides
users with daily estimates of crop water requirements for lead times up to five days. The
temporal evolution of the crop potential evapotranspiration is simulated with autoregressive
models. An ensemble Kalman filter is employed for updating model states by assimilating
both ground based meteorological variables (where available) and numerical weather
forecasts.
The model has been applied in Campania region (Southern Italy), where a satellite
assisted irrigation advisory service has been operating since 2006.
This work presents the results of the system performance for one year of experimental
service. The results suggest that the proposed model can be an effective support for a
sustainable use and management of irrigation water, under conditions of water scarcity and
drought. Since the evapotranspiration term represents a staple component in the water balance
of a catchment, as outstanding future development, the model could also offer an
advanced support for water resources management decisions at catchment scale. |
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