المستودع الأكاديمي جامعة المدينة

A comparison of new and existing equations for estimating sensible heat flux density using surface renewal and similarity concepts

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dc.creator Castellví, F.
dc.creator Snyder, R. L.
dc.creator Baldocchi, D.D.
dc.creator Martínez-Cob, Antonio
dc.date 2008-02-22T12:00:14Z
dc.date 2008-02-22T12:00:14Z
dc.date 2006
dc.date.accessioned 2017-01-31T01:00:19Z
dc.date.available 2017-01-31T01:00:19Z
dc.identifier Water Resources Research 42: W08406 (2006)
dc.identifier 0043-1397
dc.identifier http://hdl.handle.net/10261/3025
dc.identifier 10.1029/2005WR004642
dc.identifier.uri http://dspace.mediu.edu.my:8181/xmlui/handle/10261/3025
dc.description The definitive version is available at: http://onlinelibrary.wiley.com/journal/10.1002/(ISSN)1944-7973
dc.description This paper describes two approaches for estimating sensible heat flux, using surface renewal and similarity concepts. One approach depends on a temperature structure function parameter and is valid in the inertial sub-layer. The other approach depends on the temperature standard deviation and operates when measurements are made above the canopy top, either in the roughness or inertial sub-layer. The approaches were tested over turf grass, rangeland grass, wheat, grape vineyard and nectarine and olive orchards. It is shown that the free convection limit expression for the standard deviation method holds for slightly unstable conditions. When surface homogeneity and fetch requirements are not fully met in the field, the results show that the equations based on surface renewal principles are more robust and accurate than equations exclusively based on similarity backgrounds. It is likely that the two methods require no calibration unless the canopy is heterogeneous. Under unstable conditions, the free convection limit equation, which depends on the temperature standard deviation, can provide on-line sensible heat flux density estimates using affordable battery-powered data logger with temperature data as the only input. The approach performed well when measuring near or well above the canopy top, thus, suggesting that the method is useful for long term monitoring over growing vegetation.
dc.description This work was supported by the Ministerio de Ciencia y Tecnología under the Spanish project REN2001-1630 CLI, the DURSI of the Generalitat of Catalunya and the University of Lleida. Data from the grassland was supported by grants from the US Dept of Energy and the California Agricultural Experiment Station.
dc.description Peer reviewed
dc.format 1808940 bytes
dc.format application/pdf
dc.language eng
dc.publisher American Geophysical Union
dc.relation http://dx.doi.org/10.1029/2005WR004642
dc.rights openAccess
dc.subject Sensible heat flux density
dc.subject Temperature standard deviation
dc.subject Temperature structure function parameter
dc.subject Temperature ramps
dc.title A comparison of new and existing equations for estimating sensible heat flux density using surface renewal and similarity concepts
dc.type Artículo


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