Effect of height and time lag on the estimation of sensible heat flux over a drip-irrigated vineyard using the surface renewal (SR) method across distinct phenological stages

Poblete-Echeverría, Carlos; Sepulveda-Reyes, D.; Ortega-Farías, Samuel

doi:10.1016/j.agwat.2014.04.006

Cited by 28 publications

(6 citation statements)

References 57 publications

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“…A calibration factor (α) of 0.96 and 1.06 was found for S1 and S2 sites, respectively. Similar α values were found by others studies over vineyards [52,54,55]. These results agree with Haymann et al [56] where, for a cotton field, the SR technique was reliable in estimating sensible and latent heat fluxes and the weighting factor (α) was essentially independent of the geometrical fetch and the flux footprint of the sensors.…”

Section: Micrometeorological and Surface Renewal Measurementssupporting

confidence: 91%

A Modified Surface Energy Balance to Estimate Crop Transpiration and Soil Evaporation in Micro-Irrigated Orchards

Souto

Lagos

Holzapfel

et al. 2019

Water

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A surface energy balance model was conceived to estimate crop transpiration and soil evaporation in orchards and vineyards where the floor is partially wetted by micro-irrigation systems. The proposed surface energy balance model for partial wetting (SEB-PW) builds upon previous multiple-layer modelling approaches to estimate the latent, sensible, and soil heat fluxes, while partitioning the total evapotranspiration ( E T ) into dry and wet soil evaporation ( λ E s o i l ) and crop transpiration ( T ). The model estimates the energy balance and flux resistances for the evaporation from dry and wet soil areas below the canopy, evaporation from dry and wet soil areas between plant rows, crop transpiration, and total crop E T . This article describes the model development, sensitivity analysis and a preliminary model evaluation. The evaluation shows that simulated hourly E T values have a good correlation with field measurements conducted with the surface renewal method and micro-lysimeter measurements in a micro-irrigated winegrape vineyard of Northern California for a range of fractional crop canopy cover conditions. Evaluation showed that hourly L E estimates had root mean square error ( R M S E ) of 58.6 W m−2, mean absolute error ( M A E ) of 35.6 W m−2, Nash-Sutcliffe coefficient ( C N S ) of 0.85, and index of agreement ( d a ) of 0.94. Daily soil evaporation ( E s ) estimations had R M S E of 0.30 mm d−1, M A E of 0.24 mm d−1, C N S of 0.87, and d a of 0.94. E s estimation had a coefficient of determination ( r 2 ) of 0.95, when compared with the micro-lysimeter measurements, which showed that E s can reach values from 28% to 46% of the total E T after an irrigation event. The proposed SEB-PW model can be used to estimate the effect and significance of soil evaporation from wet and dry soil areas on the total E T , and to inform water balance studies for optimizing irrigation management. Further evaluation is needed to test the model in other partially wetted orchards and to test the model performance during all growing seasons and for different environmental conditions.

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Section: Micrometeorological and Surface Renewal Measurementssupporting

confidence: 91%

A Modified Surface Energy Balance to Estimate Crop Transpiration and Soil Evaporation in Micro-Irrigated Orchards

Souto

Lagos

Holzapfel

et al. 2019

Water

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“…Knipper et al (2018) showed that land surface temperature variability increases with increased vineyard soil heterogeneity, which also complicates H measurements. Consequently, to account for measurements biases, the SR method must be calibrated against other methods such as eddy covariance (Poblete-Echeverría et al, 2014). Comparing the SR method against eddy covariance to quantify H at different phenological stages in a Chilean vineyard showed that the SR method underestimated (by around 9 %) the fraction of water used for transpiration (i.e.…”

Section: Atmosphere-based Methodsmentioning

confidence: 99%

State-of-the-art of tools and methods to assess vine water status

Rienth¹,

Scholasch²

2019

OENO One

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Rising global air temperatures will lead to an increased evapotranspiration and altered precipitation pattern. In many regions this may result in a negative water balance during the vegetative cycle, which can augment the risk of drought and will require mitigation strategies. These strategies, ultimately, will mean the installation of irrigation systems in some winegrowing regions where vines were cultivated historically under rain-fed conditions and growers do not have many years of experience with vine water management.This review aims to provide a state-of-the-art summary of the recent and most important literature on vine water assessment for monitoring and adapting vineyard management strategies to production goals in view of global warming. Plant, soil and atmospheric methods are reviewed, and their advantages and drawbacks are discussed. Recent advances in plant water status measurement reveal the limitation of traditional techniques such as water potential, particularly in the context of drought and high vapor pressure deficit and the discoveries regarding hydraulic and stomatal regulation. New technologies can integrate heterogeneous sources of information collected in the vineyard at different spatial and temporal resolutions. Such new approaches offer new synergies to overcome limitations inherent to plant water status measurement techniques obtained directly or indirectly from proxy measurements.

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“…Using this correction, however, Allen et al [59] indicated that the lack of closure can be only attributed to errors in the measurements of H and LE without considering the potential bias in Rn-G. According to several researchers, the uncertainties observed in this study are modest and turbulent fluxes were recalculated using the Bowen-ratio approach [8,24,36,40,60]. At 30 min time intervals, the ratio of (Rn − G) to (H + LE) was 0.89, suggesting that the orchard energy balance (SEB) was systematically imbalanced by approximately 11% (Figure 2).…”

Section: Resultsmentioning

confidence: 93%

“…Soil heat flux was estimated through the use of eight flux plates installed on either side of the rows (four plates in the inter row and four plates below the row). This arrangement considers the row shade effect throughout the day [36]. The flux plates with a constant thermal conductivity (HFT3, Campbell Sci., Logan, UT, USA) were installed at a depth of 0.08 m. Additionally, two averaging thermocouple probes (TCAV, Campbell Sci., Logan, UT, USA) that were used to measure soil temperature were installed above each flux plate at depths of 0.02 and 0.06 m. All of the thermocouple probe signals were recorded on an electronic datalogger (CR3000, Campbell Sci, Logan, UT, USA) with a thirty-minute interval.…”

Section: Measurements Of Climate and Energy Balance Datamentioning

confidence: 99%

“…To reduce the uncertainty that is associated with the errors in the LE and H measurements, entire days were excluded from the study when the ratios of (H + LE) to (Rn − G) were outside the range between 0.8 and 1.2 [9]. Assuming that the measurements of Rn and G were representative of the available energy over the olive orchard, the fluxes of H and LE were forced to close the energy balance using the Bowen ratio approach (B = H/LE) [8,24,36,40]:…”

Section: Measurements Of Climate and Energy Balance Datamentioning

confidence: 99%

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Implementation of a Two-Source Model for Estimating the Spatial Variability of Olive Evapotranspiration Using Satellite Images and Ground-Based Climate Data

Fuentes-Peñailillo

Ortega-Farías

Acevedo-Opazo

et al. 2018

Water

Self Cite

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A study was carried out to evaluate the potential use of the two-source Shuttleworth and Wallace (SW) model to compute the intra-orchard spatial variability of actual evapotranspiration (ET) of olive trees using satellite images and ground-based climate data. The study was conducted in a drip-irrigated olive orchard using satellite images (Landsat 7 ETM+), which were acquired on clear sky days during the main phenological stages (2009/10 growing season). The performance of the SW model was evaluated using instantaneous latent heat flux (LE) measurements that were obtained from an eddy correlation system. At the time of satellite overpass, the estimated values of net radiation (Rn i) and soil heat flux (G i) were compared with ground measurements from a four-way net radiometer and soil heat flux plates, respectively. The results indicated that the SW model subestimated instantaneous LE (W m −2) and daily ET (mm d −1), with errors of 12% and 10% of observed values, respectively. The root mean square error (RMSE) and mean absolute error (MAE) values for instantaneous LE were 26 and 20 W m −2 , while those for daily values of ET were 0.31 and 0.28 mm d −1 , respectively. Finally, the submodels computed Rn i and G i with errors of between 4.0% and 8.0% of measured values and with RMSE and MAE between 25 and 39 W m −2 .

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Effect of height and time lag on the estimation of sensible heat flux over a drip-irrigated vineyard using the surface renewal (SR) method across distinct phenological stages

Cited by 28 publications

References 57 publications

A Modified Surface Energy Balance to Estimate Crop Transpiration and Soil Evaporation in Micro-Irrigated Orchards

A Modified Surface Energy Balance to Estimate Crop Transpiration and Soil Evaporation in Micro-Irrigated Orchards

State-of-the-art of tools and methods to assess vine water status

Implementation of a Two-Source Model for Estimating the Spatial Variability of Olive Evapotranspiration Using Satellite Images and Ground-Based Climate Data

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