Independent estimation of sensible and latent fluxes in a vineyard using improved surface renewal analysis

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dc.catalogadorgjm
dc.contributor.authorTosoni, Damián Esteban
dc.contributor.authorMeza, Francisco Javier
dc.contributor.authorLacy, Shaw Nozaki
dc.date.accessioned2023-05-19T20:49:55Z
dc.date.available2023-05-19T20:49:55Z
dc.date.issued2021
dc.description.abstractTurbulent fluxes are key components of surface energy balance. Micrometeorological techniques, such as eddy covariance (EC), are commonly used to estimate sensible (H) and latent (LE) heat fluxes, because they provide direct measurements and do not interfere with the normal crop canopy development. However, EC has technical difficulties, strict size, and surface homogeneity requirements and is relatively expensive. Surface renewal analysis (SRA) is a promising alternative for turbulent flux estimation, because it is more economical, has less-stringent fetch requirements, and can be deployed in heterogeneous canopies or markedly sloped surfaces. Castellvi (SRA(Cast)) presented a methodology to estimate H using SRA, avoiding the high-frequency wind speed records that are necessary for determining stability and friction velocity, which are then used to calibrate the alpha parameter (a factor that corrects the nonuniform heating of an air parcel). Instead, an iterative procedure using wind speed recorded using a simple cup anemometer can be used. Here, we estimated sensible and latent heat fluxes and latent heat flux as residual from the energy-balance equation using SRA(Cast) during January 2018 and compared the results with EC measurements in a trilled vineyard (heterogeneous canopy), in Pirque, Santiago de Chile. Values of H and LE through SRA(Cast) present a high agreement with EC, with slopes (b) of 1.11 and 0.88 and coefficients of determination (R-2) of 0.97 and 0.89, respectively. LEres_SRA showed values of 1.60 and 0.80 for b and R-2, respectively. Energy balance closure was slightly better for SRA than for EC (b, 0.73 and 0.71; R-2, 0.94 and 0.95), proving to be a reasonably good and simpler alternative for turbulent flux estimation.
dc.fechaingreso.objetodigital2023-07-14
dc.fuente.origenORCID
dc.identifier.doi10.1007/s00704-021-03612-1
dc.identifier.eissn1434-4483
dc.identifier.issn0177-798X
dc.identifier.urihttps://link.springer.com/article/10.1007/s00704-021-03612-1
dc.identifier.urihttps://repositorio.uc.cl/handle/11534/70099
dc.information.autorucFacultad de Agronomía e Ingenieria Forestal; Tosoni, Damián Esteban; 0000-0002-7911-6641; 229864
dc.information.autorucFacultad de Agronomía e Ingenieria Forestal; Meza, Francisco Javier; 0000-0002-9853-227X; 86534
dc.language.isoen
dc.nota.accesoContenido parcial
dc.pagina.final1385
dc.pagina.inicio1375
dc.revistaTheoretical and Applied Climatology
dc.rightsacceso restringido
dc.subject.ddc620
dc.subject.deweyIngenieríaes_ES
dc.titleIndependent estimation of sensible and latent fluxes in a vineyard using improved surface renewal analysises_ES
dc.typeartículo
dc.volumen141
sipa.codpersvinculados229864
sipa.codpersvinculados86534
sipa.trazabilidadORCID;14-07-2023
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