Estimation of the Latent Heat Flux over Irrigated Short Fescue Grass for Different Fetches

Autor/a

Castellví Sentís, Francesc

Gavilán, Pedro

Fecha de publicación

2021-04-06T10:14:48Z

2021-04-06T10:14:48Z

2021-03-01



Resumen

Often in agrometeorology the instrumentation required to estimate turbulent surface fluxes must be installed at sites where fetch is not sufficient for a sector of wind directions. For different integrated flux-footprints (IFFP) thresholds and taking as a reference the half-hourly latent heat fluxes (LE) measured with a large weighing lysimeter (LELys), the eddy covariance (EC) method and two methods based on surface renewal (SR) analysis to estimate LE were tested over short fescue grass. One method combined SR with the flux-gradient (profile) relationship, SR-P method, and the other with the dissipation method, SR-D method. When LE was estimated using traces of air moisture, good performances were obtained using the EC and the SR-P methods for samples with IFFP higher than 85%. However, the closest LE estimates were obtained using the residual method. For IFFP higher than 50%, the residual method combined with the sensible heat flux estimates determined using the SR-P method performed close to LELys and using the SR-D method good estimates were obtained for accumulated LELys. To estimate the sensible heat flux, the SR-D method can be recommended for day-to-day use by farmers because it is friendly and affordable.


This research was funded by the National Research Institute of Agriculture and Food Technology (INIA) under the Project RTA2008-00006-CO2-01 and RTI2018-098693-B-C31Ministerio de Economía y Competitividad of Spain.

Tipo de documento

Artículo
Versión publicada

Lengua

Inglés

Materias y palabras clave

Evapotranspiration; Surface energy balance; Weighing lysimeter; Eddy covariance; Surface renewal analysis

Publicado por

MDPI

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Reproducció del document publicat a: https://doi.org/10.3390/atmos12030322

Atmosphere, 2021, vol. 12, núm. 3, p. 322

Derechos

cc-by (c) Castellví Sentís et al., 2021

http://creativecommons.org/licenses/by/4.0/

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