Grapevine crop coefficient (Kc) determined by surface renewal method at different phenological periods

2017 ◽  
pp. 61-66 ◽  
Author(s):  
C. Poblete-Echeverría ◽  
D. Sepúlveda-Reyes ◽  
M. Zúñiga ◽  
S. Ortega-Farías
2019 ◽  
Vol 36 (4) ◽  
pp. 1075-1088
Author(s):  
A. Abo El-Magd ◽  
S. M. Attaher ◽  
R. L. Snyder ◽  
H. S. Mehawed ◽  
G. H. El-Sayed

2019 ◽  
Author(s):  
Noman Ali Buttar ◽  
Yongguang Hu ◽  
Imran Ali Lakhiar ◽  
Ahmad Azeem ◽  
Muhammad Zaman ◽  
...  

2019 ◽  
Vol 37 (6) ◽  
pp. 737-749 ◽  
Author(s):  
Christopher K. Parry ◽  
Thomas M. Shapland ◽  
Larry E. Williams ◽  
Arturo Calderon-Orellana ◽  
Richard L. Snyder ◽  
...  

2018 ◽  
Vol 11 (4) ◽  
pp. 2151-2158 ◽  
Author(s):  
Jason Kelley ◽  
Chad Higgins

Abstract. Measuring surface fluxes using the surface renewal (SR) method requires programmatic algorithms for tabulation, algebraic calculation, and data quality control. A number of different methods have been published describing automated calibration of SR parameters. Because the SR method utilizes high-frequency (10 Hz+) measurements, some steps in the flux calculation are computationally expensive, especially when automating SR to perform many iterations of these calculations. Several new algorithms were written that perform the required calculations more efficiently and rapidly, and that tested for sensitivity to length of flux averaging period, ability to measure over a large range of lag timescales, and overall computational efficiency. These algorithms utilize signal processing techniques and algebraic simplifications that demonstrate simple modifications that dramatically improve computational efficiency. The results here complement efforts by other authors to standardize a robust and accurate computational SR method. Increased speed of computation time grants flexibility to implementing the SR method, opening new avenues for SR to be used in research, for applied monitoring, and in novel field deployments.


Agronomy ◽  
2020 ◽  
Vol 10 (5) ◽  
pp. 730
Author(s):  
Andrés Morán ◽  
Raúl Ferreyra ◽  
Gabriel Sellés ◽  
Eduardo Salgado ◽  
Alejandro Cáceres-Mella ◽  
...  

The surface renewal method (SR) allows estimating the sensible heat flux (H) using high-frequency thermocouples. Traditionally, SR has been compared and calibrated using standard instruments such as the Eddy covariance system (EC). Calibration involves correcting H measured with SR (H’SR) by means of the calibration factor (α). However, several studies show that α is not constant and could depend on canopy architecture, measurement height, atmospheric stability, and weather conditions. In avocado orchards, there is not enough information about energy fluxes and the application of the SR method. Therefore, the objective of this study is to calibrate the SR method in a mature avocado orchard considering the effect of meteorological conditions on the determination of α. The components of the surface energy balance were measured using an EC system in a commercial avocado orchard (cv. Hass) located in the Aconcagua Valley, Valparaíso Region, Chile. To evaluate the effect of the meteorological conditions on the determination of α, the dataset was classified into nine categories based on solar radiation and wind intensity. The results show that α varies according to meteorological conditions, with significant differences for cloudy days. The use of the variable α reduced the error in estimating H, so, this methodology can be used to have a more precise approximation of the energy balance and therefore to the water requirements.


2009 ◽  
Vol 40 (4) ◽  
pp. 39
Author(s):  
Salvatore Barbagallo ◽  
Simona Consoli ◽  
Alfonso Russo

Reliable estimation of surface sensible and latent heat flux is the most important process to appraise energy and mass exchange among atmosphere and biosphere. In this study the surface energy fluxes were measured over an irrigated orange orchard during 2005-2008 monitoring periods using a Surface Renewal- Energy Balance approach. The experimental area is located in a representative orchard growing area of eastern Sicily (Italy). The performance of Surface Renewal (SR) analysis for estimating sensible heat flux (H) was analysed and evaluated in terms of correlation with H fluxes from the eddy covariance (EC) method. Study revealed that the mean available energy (RN- G) and latent heat flux (LE) were of about 300 W m-2 and 237 W m-2, respectively, during dry periods and unstable-case atmospheric conditions. The estimated crop coefficient Kc values for the orchard crop averaged close to 0.80, which is considerably higher than previous FAO studies that found the value to be 0.65 for citrus with 70% of ground cover. The intercepted photosynthetically active radiation (LI PAR) by the crop was measured and relationships between LAI and crop coefficient (Kc) were established.


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