Implementing the dual crop coefficient approach in interactive software: 2. Model testing

Rosa, Ricardo D.; Paredes, Paula; Rodrigues, G. C.; Fernando, R.M.; Alves, Isabel; Pereira, L. S.; Allen, Richard G.

doi:10.1016/j.agwat.2011.10.018

Cited by 108 publications

(89 citation statements)

References 40 publications

Supporting

Mentioning

Contrasting

Unclassified

Order By: Relevance

“…Martins et al [26] indicated that E of ET c act in sprinkler and drip experiments under mulched soil for maize ranged from approximately 91% to 94%, and Rosa et al [35] reported that T{ET c act in furrow-irrigated cotton were 90% and 83% in two different years. These results are similar to those of our study in Xinjiang, and are higher than the other studies in the areas with similar climate, e.g.,~80% in Uzbekistan by Qureshi et al [52] and 56%-68% by Forkutsa et al [61] also in Uzbekistan.…”

Section: Partitioning Of Evapotranspirationmentioning

confidence: 99%

“…The model was further calibrated to minimize the differences between the simulated and observed ET c act . Model calibration utilized a trial and error procedure and a gradual change in the parameters from crop to soil, is described with more details in Rosa et al [35]. The initial and calibrated values for the soil and crop parameters of the growth season are presented in Table 4.…”

Section: Model Calibration and Validationmentioning

confidence: 99%

“…The real irrigation amount and respective data were used in simulation for calibration and validation. Several goodness-of-fit indicators were applied in previous studies to evaluate the model predictions [35,59]. The simulated and observed ET cct were compared through the figure, and regression was also calculated throughout the growth season.…”

Section: Model Calibration and Validationmentioning

confidence: 99%

See 2 more Smart Citations

Partitioning of Cotton Field Evapotranspiration under Mulched Drip Irrigation Based on a Dual Crop Coefficient Model

Tian

Yang

et al. 2016

Water

View full text Add to dashboard Cite

Estimation of field crop evapotranspiration (ET c ) and its partitioning into evaporation and transpiration, are of great importance in hydrological modeling and agricultural water management. In this study, we used a dual crop coefficient model SIMDualKc to estimate the actual crop evapotranspiration (ET c act ) and the basal crop coefficients over a cotton field in Northwestern China. A two-year field experiment was implemented in the cotton field under mulched drip irrigation. The simulated ET c act is consistent with observed ET c act as derived based on the eddy covariance system in the field. Basal crop coefficients of cotton for the initial, mid-season, and end-season are 0.20, 0.90, and 0.50, respectively. The transpiration components of ET c act are 96% (77%) and 94% (74%) in 2012 and 2013 with (without) plastic mulch, respectively. The impact of plastic mulch cover on soil evaporation is significant during drip irrigation ranging from crop development stage to mid-season stage. The extent of the impact depends on the variation of soil moisture, available energy of the soil surface, and the growth of the cotton leaves. Our results show that the SIMDualKc is capable of providing accurate estimation of ET c act for cotton field under mulched drip irrigation, and could be used as a valuable tool to establish irrigation schedule for cotton fields in arid regions as Northwestern China.

show abstract

Section: Partitioning Of Evapotranspirationmentioning

confidence: 99%

Section: Model Calibration and Validationmentioning

confidence: 99%

Section: Model Calibration and Validationmentioning

confidence: 99%

See 1 more Smart Citation

Partitioning of Cotton Field Evapotranspiration under Mulched Drip Irrigation Based on a Dual Crop Coefficient Model

Tian

Yang

et al. 2016

Water

View full text Add to dashboard Cite

show abstract

“…The SIMDualKc is a soil water balance model that applies the dual crop coefficient approach, thus separately computing the daily soil evaporation and crop transpiration [32,39]. This model has been successfully applied to estimate ET and assess Kc of a wide range of field crops [34,35,39], including tree crops [8,40].…”

Section: Simdualkcmentioning

confidence: 99%

“…This model has been successfully applied to estimate ET and assess Kc of a wide range of field crops [34,35,39], including tree crops [8,40]. Data from SIMDualKc were used as benchmark, i.e., a standard against which comparisons can be done, mainly for the comparison of Kc and Kcb results.…”

Section: Simdualkcmentioning

confidence: 99%

Estimation of Actual Crop Coefficients Using Remotely Sensed Vegetation Indices and Soil Water Balance Modelled Data

et al. 2015

Self Cite

View full text Add to dashboard Cite

Abstract:A new procedure is proposed for estimating actual basal crop coefficients from vegetation indices (Kcb VI) considering a density coefficient (Kd) and a crop coefficient for bare soil. Kd is computed using the fraction of ground cover by vegetation (fc VI), which is also estimated from vegetation indices derived from remote sensing. A combined approach for estimating actual crop coefficients from vegetation indices (Kc VI) is also proposed by integrating the Kcb VI with the soil evaporation coefficient (Ke) derived from the soil water balance model SIMDualKc. Results for maize, barley and an olive orchard have shown that the approaches for estimating both fc VI and Kcb VI compared well with results obtained using the SIMDualKc model after calibration with ground observation data. For the crops studied, the correlation coefficients relative to comparing the actual Kcb VI and Kc VI with actual Kcb and Kc obtained with SIMDualKc were larger than 0.73 and 0.71, respectively. The corresponding regression coefficients were close to 1.0. The methodology herein presented and discussed allowed for obtaining information for the whole crop season, including periods when vegetation cover is incomplete, as the initial and development stages. Results show that the proposed methods are adequate for supporting irrigation management. OPEN ACCESSRemote Sens. 2015, 7 2374

show abstract

Plant‐based predictions of canopy transpiration instead of meteorological approximations

Sinclair

Ghanem

2020

Crop Science

View full text Add to dashboard Cite

Estimation of plant water use is critical, both now and under future climate-changed environments, to understanding water limitation on plant production and hydrologic cycling. Currently, such predictions are based on meteorological approaches that are inherently empirical and should not be extrapolated beyond the empirical database. An alternative approach to calculating transpiration that relies on fundamental physiological and physical descriptors of canopy water use efficiency is reviewed. Re-arrangement of the water use efficiency expression results in a definition of tran-Abbreviations: G, Growth; LAI, Leaf area index; RUE, Radiation use efficiency; T, Transpiration rate; VPD, Vapor pressure deficit.

show abstract

Implementing the dual crop coefficient approach in interactive software: 2. Model testing

Cited by 108 publications

References 40 publications

Partitioning of Cotton Field Evapotranspiration under Mulched Drip Irrigation Based on a Dual Crop Coefficient Model

Partitioning of Cotton Field Evapotranspiration under Mulched Drip Irrigation Based on a Dual Crop Coefficient Model

Estimation of Actual Crop Coefficients Using Remotely Sensed Vegetation Indices and Soil Water Balance Modelled Data

Plant‐based predictions of canopy transpiration instead of meteorological approximations

Contact Info

Product

Resources

About