Estimating evapotranspiration from processing tomato using the surface renewal technique

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Estimating evapotranspiration from processing tomato using the surface renewal technique

Year: 

2013

Source of publication :

Biosystems Engineering

Authors :

Dicken, Uri

;

Rosa, Rafael

;

Tanny, Josef

.

Volume :

114

Co-Authors: 

Rosa, R., Institute of Soil, Water and Environmental Sciences, Agricultural Research Organization, Volcani Center, POB 6, Bet Dagan 50250, Israel
Dicken, U., Institute of Soil, Water and Environmental Sciences, Agricultural Research Organization, Volcani Center, POB 6, Bet Dagan 50250, Israel
Tanny, J., Institute of Soil, Water and Environmental Sciences, Agricultural Research Organization, Volcani Center, POB 6, Bet Dagan 50250, Israel

From page: 

406

To page: 

413

(

Total pages: 

8

)

Link :

Estimating evapotranspiration from processing tomato using the surface renewal technique

Abstract: 

The use of the surface renewal (SR) technique for evapotranspiration (ET) estimates of processing tomato crop was examined. The objective was to study the effects of sampling rate, in the range 1e10 Hz, and measurement height, on the SR method performance. Measurements were carried out in a processing tomato crop at the Hula Valley of Northern Israel. Eddy covariance and surface renewal systems were deployed simultaneously for a period of 11 days on August 2010. Data from the first 6 measurement days was used for calibration and data of the rest 5 days for verification of ET data. Three parameters were chosen for optimising the performance of the SR technique: the sampling rate, the SR analysis time lag and sensor height. Results showed that during calibration the best combination of coefficient of determination (R2 = 0.86) and root mean square error (RMSE = 29.57Wm-2) between EC and SR half-hourly sensible heat fluxes was obtained for temperature fluctuations measured at the level of the canopy top, using a 0.25 s analysis time lag and 10 Hz sampling rate. For these operational conditions, and using the corresponding calibration coefficient α = 2.47, mean ratio between daily estimated (by SR) and deduced (from EC) ET during the verification period was 1.03 ± 0.02. Data analyses at lower sampling rates of 1, 2 and 5 Hz and for the same measurement height also provided good agreement between estimated and measured daily ET. © 2012 IAgrE.