scholarly journals Evaluating surface renewal models for estimating sensible heat flux above and within a coffee agroforestry system

2021 ◽  
Vol 308-309 ◽  
pp. 108598
Author(s):  
Friso Holwerda ◽  
Olmo Guerrero-Medina ◽  
Antoon G.C.A. Meesters
Keyword(s):  
Heat Flux ◽  
Sensible Heat Flux ◽  
Agroforestry System ◽  
Sensible Heat ◽  
Surface Renewal ◽  
Coffee Agroforestry ◽  
Renewal Models

<i>Estimating sensible heat flux from Camellia sinensis using the Surface renewal method</i>

2019 ◽  
Author(s):  
Noman Ali Buttar ◽  
Yongguang Hu ◽  
Imran Ali Lakhiar ◽  
Ahmad Azeem ◽  
Muhammad Zaman ◽  
...  
Keyword(s):  
Heat Flux ◽  
Camellia Sinensis ◽  
Sensible Heat Flux ◽  
Sensible Heat ◽  
Surface Renewal ◽  
Renewal Method

Latent and sensible heat flux predictions from a uniform pine forest using surface renewal and flux variance methods

1996 ◽  
Vol 80 (3) ◽  
pp. 249-282 ◽  
Author(s):  
Gabriel Katul ◽  
Cheng-I Hsieh ◽  
Ram Oren ◽  
David Ellsworth ◽  
Nathan Phillips
Keyword(s):  
Heat Flux ◽  
Sensible Heat Flux ◽  
Pine Forest ◽  
Sensible Heat ◽  
Surface Renewal

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

Atmosphere ◽  
2021 ◽  
Vol 12 (3) ◽  
pp. 322
Author(s):  
Francesc Castellví ◽  
Pedro Gavilán
Keyword(s):  
Heat Flux ◽  
Latent Heat ◽  
Sensible Heat Flux ◽  
Surface Fluxes ◽  
Heat Fluxes ◽  
The Other ◽  
Sensible Heat ◽  
Surface Renewal ◽  
Residual Method ◽  
Flux Footprints

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.

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