Enhancing Evapotranspiration Estimates in Orchards with the Surface Energy Balance for Partially Vegetated surfaces (SEB-PV) 12 Model through Combined Use of Gridded Soil Moisture and Temporal Upscaling Methods

Lorenzo E. Cigarra Guíñes; Octavio Lagos; Pasquale Steduto; Sebastián A. Krogh; Kristen Shapiro; Camilo Souto; Mario Lillo Saavedra; Claudia Balbontín; Daniele Zaccaria

doi:10.29393/ppudec-9cgee70009

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Lorenzo E. Cigarra Guíñes Universidad de Concepción, Facultad de Ingeniería Agrícola, Departamento de Recursos Hídricos. Chillán, Chile.
Octavio Lagos Universidad de Concepción, Facultad de Ingeniería Agrícola, Departamento de Recursos Hídricos. Chillán, Chile.
Pasquale Steduto Deaprtament of Land, Air, and Water Resources, Univesity of California. EE.UU.
Sebastián A. Krogh Universidad de Concepción, Facultad de Ingeniería Agrícola, Departamento de Recursos Hídricos. Chillán, Chile.
Kristen Shapiro Deaprtament of Land, Air, and Water Resources, Univesity of California. EE.UU.
Camilo Souto Universidad de Concepción, Facultad de Ingeniería Agrícola, Departamento de Recursos Hídricos. Chillán, Chile.
Mario Lillo Saavedra Universidad de Concepción, Facultad de Ingeniería Agrícola, Departamento de Recursos Hídricos. Chillán, Chile.
Claudia Balbontín Centro de Investigación Intihuasi, Instituto de Investigaciones Agropecuarias (INIA). La Serena, Chile.
Daniele Zaccaria Deaprtament of Land, Air, and Water Resources, Univesity of California. EE.UU.

DOI:

https://doi.org/10.29393/ppudec-9cgee70009

Keywords:

agricultural water management, hazelnut, pistachio, satellite soil moisture products, SMAP, surface energy balance, temporal extrapolation

Resumen

The Surface Energy Balance for Partially Vegetated surfaces (SEB-PV)model provides accurate evapotranspiration (ET) estimates for orchard crops. However, it faces two operational limitations: requiring specific input data unavailable from conventional agro-meteorological stations and lacking an evidence-based algorithm for upscaling instantaneous ET to daily values. This study addresses these limitations by evaluating SEB-PV performanee under three conditions: 1) using measured soil moisture with in situ meteorological equipment; 2) using gridded soil moisture products (Climate Forecast System and Soil Moisture Active Passive) with in-situ meteorological equipment; 3) using gridded soil moisture products with agro-meteorological stations' data. Seven temporal upscaling methods were compared for ET estimation in commercially-produced, micro-irrigated hazelnut (Chile) and pistachio (California) orchards. A Model Decision Making Indicator (MDMI), combining Kling-Gupta efficiency and normalized root mean square error (NRMSE), is proposed to enhance parameter optimization sensitivity. SEB-PV performance using gridded soil moisture products demonstrated comparable accuracy to configurations using measured soil moisture after parameter adjustment (MDMI values > 70 for hazelnuts, NRMSE ~ 21%; >59 for pistachios, NRMSE ~ 29%). Transitioning from in-situ meteorological measurements to agro-meteorological stations minimally impacted hazelnut orchards but required careful consideration for pistachios. Methods that up-scale instantaneous ET to daily values on the basis of net radiation performed optimally for hazelnut orcharcls grown in Mecliterranean climatic conclitions (NRMSE ~ 15%), while meteorological inputs-based methods were preferable for semi-aricl pistachio orchards (NRMSE ~ 30%). These finclings show that SEB-PV can maintain acceptable accuracy using globally available datasets, improving operational applicability through guidance for input selection and temporal upscaling tailored to orchard characteristics.

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