4.7 Article

Aerodynamic Parameterization of the Satellite-Based Energy Balance (METRIC) Model for ET Estimation in Rainfed Olive Orchards of Andalusia, Spain

期刊

WATER RESOURCES MANAGEMENT
卷 26, 期 11, 页码 3267-3283

出版社

SPRINGER
DOI: 10.1007/s11269-012-0071-8

关键词

Rainfed olive; Evapotranspiration; FAO 56 model; METRIC; Momentum roughness length; Perrier function; Soil water balance

资金

  1. Regional Government of Andalusia [AGR-6126]
  2. Idaho Agricultural Experiment Station
  3. Idaho Department of Water Resources
  4. US Geological Survey
  5. NASA
  6. National Science Foundation EPSCoR program [EPS-0814387]
  7. Raytheon Company

向作者/读者索取更多资源

Sensitivity of estimates of evapotranspiration (ET) for olive fields located in Andalusia (Spain) to aerodynamic parameterization in METRIC (Mapping EvapoTranspiration with high Resolution and Internalized Calibration) was evaluated to better understand behavior of the model and spatial and temporal distribution of ET from olives, with the ultimate aim of designing customized irrigation schedules. Previous METRIC analyses have primarily focused on the estimation of ET over fields of annual crops, with few applications to complex canopies such as olive. The model was compared against FAO 56-soil water balance-based ET estimations for non-irrigated olive fields. In the first comparisons METRIC model used a general equation for momentum roughness length (z(om)) based on a fixed function of height estimated from LAI (Leaf Area Index) that underestimated the olives height and therefore z(om), so that ET derived as a residual of the energy balance was overestimated (RMSE = 1.12 mm/day) compared to the soil water balance derived ET. The Perrier roughness function based on LAI and tree canopy architecture for sparse trees, coupled with improved olive height estimates (employing tree density and canopy shape factors) improved estimates for z(om). This approach produced closer comparisons to rainfall-constrained ET estimates based on soil water balance for rainfed olive orchards (RMSE = 0.25 mm/day). This study does not attempt to validate METRIC results; instead utilizes a comparative approach between two independent methodologies to improve olive ET estimation via remote sensing, with the strong advantage, over the soil water balance approach, of improved spatial resolution over large areas.

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