Incorporating field wind data to improve crop evapotranspiration parameterization in heterogeneous regions

Anderson, Ray G.; Ferreira, Jorge; Jenkins, Dennise L.; Dias, Nildo da Silva; Suarez, Donald L.

doi:10.1007/s00271-017-0560-x

Cited by 8 publications

(7 citation statements)

References 67 publications

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“…However, limitations on funding, availability of suitable locations or water supplies for irrigation of the reference crop may constrain the ability of network managers to add new sites at optimal locations. Other potential avenues for addressing error contributions include blending of meteorological inputs from mesoscale weather models, reanalysis data, and satellite observations (Pelosi et al 2021 ), development of approaches to facilitate assimilation of local wind speed and other meteorological measurements collected over surfaces that differ from ASCE standard reference conditions (Anderson et al 2017 ), and careful evaluation of the impacts of different spatial interpolation methods on the accuracy of the ETo data calculated from the gridded meteorological inputs (Ha et al 2011 ).…”

Section: Discussionmentioning

confidence: 99%

Effects of meteorological and land surface modeling uncertainty on errors in winegrape ET calculated with SIMS

et al. 2022

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Characterization of model errors is important when applying satellite-driven evapotranspiration (ET) models to water resource management problems. This study examines how uncertainty in meteorological forcing data and land surface modeling propagate through to errors in final ET data calculated using the Satellite Irrigation Management Support (SIMS) model, a computationally efficient ET model driven with satellite surface reflectance values. The model is applied to three instrumented winegrape vineyards over the 2017–2020 time period and the spatial and temporal variation in errors are analyzed. We illustrate how meteorological data inputs can introduce biases that vary in space and at seasonal timescales, but that can persist from year to year. We also observe that errors in SIMS estimates of land surface conductance can have a particularly strong dependence on time of year. Overall, meteorological inputs introduced RMSE of 0.33–0.65 mm/day (7–27%) across sites, while SIMS introduced RMSE of 0.55–0.83 mm/day (19–24%). The relative error contribution from meteorological inputs versus SIMS varied across sites; errors from SIMS were larger at one site, errors from meteorological inputs were larger at a second site, and the error contributions were of equal magnitude at the third site. The similar magnitude of error contributions is significant given that many satellite-driven ET models differ in their approaches to estimating land surface conductance, but often rely on similar or identical meteorological forcing data. The finding is particularly notable given that SIMS makes assumptions about the land surface (no soil evaporation or plant water stress) that do not always hold in practice. The results of this study show that improving SIMS by eliminating these assumptions would result in meteorological inputs dominating the error budget of the model on the whole. This finding underscores the need for further work on characterizing spatial uncertainty in the meteorological forcing of ET.

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Section: Discussionmentioning

confidence: 99%

Effects of meteorological and land surface modeling uncertainty on errors in winegrape ET calculated with SIMS

et al. 2022

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“…To measure actual vine evapotranspiration (ET a ), we installed an array of 9 weighing lysimeters that were planted with three replicates of each rootstock. A brief description of the lysimeters is given in a previous study [18]. Lysimeters were weighed weekly with a digital scale (accuracy of ± 0.1 kg) and irrigated to replenish consumed water using a graduated cylinder (± 0.01 L).…”

Section: Methodsmentioning

confidence: 99%

“…ET c was also calculated from combining local reference ET (ET 0 ) [18] with crop coefficients (K c ) calculated based on shaded fraction/leaf area index (LAI) weekly data using the relation,…”

Section: Methodsmentioning

confidence: 99%

“…The data for lysimeter ET, calculated ET c from leaf area index (LAI) and weather station data, ET c , calculated from the Food and Agriculture Organization (FAO 56) with local windspeeds [18,20], crop coefficients and weather station data, and the D0 actual water application (100%) are shown in Figure 2. The measured lysimeter water use was initially less than the FAO based ET c calculations (ET c 1) until mid-summer 2015, when the lysimeter values became greater than the calculated FAO ET c as shown in Figure 2.…”

Section: Water Application and Evapotranspirationmentioning

confidence: 99%

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Grape Rootstock Response to Salinity, Water and Combined Salinity and Water Stresses

et al. 2019

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Diminishing availability of non-saline water in arid and semiarid regions is of concern to all irrigated agricultural producers, including wine and grape producers. Grapes are not a salt tolerant crop and producers often face the choice of either limiting fresh water application, using alternative saline waters or a combination of both. We examined the salt tolerance and effect of restricted water application on three purported salt tolerant rootstocks grafted to Cabernet Sauvignon scion in a 4-year replicated field experiment. ANOVA indicated significant effects of salinity water stress and rootstock on fruit yields. The 140 Ruggeri scion was the top producer across all treatments including control, followed by Salt Creek, with St. George significantly less productive than 140 Ruggeri across all treatments. In terms of salt tolerance, Salt Creek and 140 Ruggeri were not statistically different but St. George was significantly less tolerant than Salt Creek. In terms of drought tolerance (relative yield), there were no statistical differences among rootstocks. Soil salinity profiles and soil moisture sensors indicated reduced water consumption under high salinity, thus no matric stress under 60% of optimal water application when high salt stress was present. The multiplicative stress model where salt and water stress are individually evaluated did not satisfactorily predict yield under combined salinity and reduced water application, likely due to decreased water consumption under saline conditions. Short term (one year) experiments underestimate salt damage to grape vines as salt tolerance decreased over the 4-year experiment.

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“…The highest SM recorded for the oldest passive restoration site can be explained by the highest SOM content in the soil (approximately 40% higher than in F8 and F11), which, in turn, comes from the highest tree crowns. Consequently, the crowns of the trees can reduce the direct radiation and wind speed near the ground, thereby decreasing water loss in this environment due to evapotranspiration processes (Tonello and Teixeira Filho, 2011;Liuzzo et al, 2016;Anderson et al, 2017;Gaertner et al, 2019). Tree roots and enhanced soil organic matter (from litter inputs) improve soil structure, enhance aggregate stability (Chenu et al, 2000;Devine et al, 2014), and promote faunal activity.…”

Section: Figurementioning

confidence: 99%

Effects of Cerrado restoration on seasonal soil hydrological properties and insights on impacts of deforestation and climate change scenarios

Pereira¹,

Balbinot²,

Nnadi³

et al. 2022

Front. For. Glob. Change

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Knowing soil indicators during forest restoration is essentially better for understanding the recovery of ecosystem functions for water conservation. The aim of this study is to assess seasonal changes in hydrological properties of sandy soils subjected to passive restoration over 8 (F8), 11 (F11), and 46 (F46) years in the Cerrado. The soils assessed herein have the same land use history and climate conditions. Soil density (SD), moisture (SM), organic matter (SOM), resistance to penetration (SRP), infiltration rate (IR), and soil conductivity (K) were measured for 12 months, and a repellency index (RI) was obtained in the dry season. Some annual soil hydrological property differences based on passive restoration sites were observed, but differences in other properties were only noticed through seasonal analyses. Higher SM, IR, and K values were recorded in the rainy season, and higher SRP values were observed in the dry season. IR was approximately fourfold higher in F8 and threefold higher in F11 and F46 in the rainy season than in the dry season. IR was higher in the oldest restoration site and lower (by over 60%) in the youngest restoration site, which also showed higher RI. Thus, significant differences in several hydrological soil properties and forest restoration soils subjected to the assessed chrono-sequence helped to confirm the study hypothesis, namely: these properties are influenced by forest age and are a warning against deforestation and climate change scenarios. The recovery of hydrological properties can be a slow process, much slower than deforestation, and this can have severe implications because soil water inflow is related to groundwater maintenance. Therefore, improvement of hydrological properties can help to develop sustainable land management and better and more efficient soil conservation strategies for sites undergoing passive restoration such as the Cerrado.

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Incorporating field wind data to improve crop evapotranspiration parameterization in heterogeneous regions

Cited by 8 publications

References 67 publications

Effects of meteorological and land surface modeling uncertainty on errors in winegrape ET calculated with SIMS

Effects of meteorological and land surface modeling uncertainty on errors in winegrape ET calculated with SIMS

Grape Rootstock Response to Salinity, Water and Combined Salinity and Water Stresses

Effects of Cerrado restoration on seasonal soil hydrological properties and insights on impacts of deforestation and climate change scenarios

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