Surface renewal analysis for sensible and latent heat flux density

Snyder, Richard L.; Spano, Donatella; Pawu, K. T.

doi:10.1007/bf00123527

Cited by 143 publications

(145 citation statements)

References 7 publications

Supporting

Mentioning

142

Contrasting

Order By: Relevance

“…While in contact with the surface, the air parcel is heated (or cooled) because of heat exchange between the air and the canopy elements (Paw U et al 1995(Paw U et al , 2005. These temperature changes can be characterized by two parameters: amplitude (A) and inverse ramp frequency (x) (Paw U et al 1995(Paw U et al , 2005Snyder et al 1996;Spano et al 2000a). Knowing these two parameters, the sensible heat flux (H) is estimated as follows:…”

Section: Surface Renewal and Micrometeorological Variables Measurementmentioning

confidence: 99%

“…According to Paw U et al (2005), a is a calibration factor initially estimated as 0.5 to account for a linear change in temperature with height. However, uneven heating within the canopy leads to different a values (Paw U et al 1995;Snyder et al 1996;Spano et al 1997a, b;Duce et al 1997). Generally, for near-neutral conditions, a -0.5 was reported over mixed deciduous forest, walnut orchard, and maize canopies (Paw U et al 1995).…”

Section: H=(ocz)pc V -mentioning

confidence: 99%

“…Generally, for near-neutral conditions, a -0.5 was reported over mixed deciduous forest, walnut orchard, and maize canopies (Paw U et al 1995). For a short turf grass, good estimates of H were obtained using a -1, when the measurements were taken in the inertial sub-layer for average conditions (Snyder et al 1996). Values of a have been reported to range between 0.23 for citrus (Snyder and O'Connell 2007) and 1.88 for bare soil (Duce et al 1998).…”

Section: H=(ocz)pc V -mentioning

confidence: 99%

“…Generally, appropriate values of a are obtained by comparing H values estimated with the surface renewal method and H values measured with the eddy covariance micrometeorological method (Snyder et al 1996;Spano et al 1997b). However, it was not possible to use the eddy covariance method in this study as explained earlier.…”

Section: H=(ocz)pc V -mentioning

confidence: 99%

“…The recorded high-frequency air temperature values were used to calculate the so-called structure functions (Snyder et al 1996) each half-hour:…”

Section: Appendixmentioning

confidence: 99%

See 4 more Smart Citations

Evapotranspiration of grapevine trained to a gable trellis system under netting and black plastic mulching

Moratiel

Martı́nez-Cob

2011

Irrig Sci

View full text Add to dashboard Cite

Section: Surface Renewal and Micrometeorological Variables Measurementmentioning

confidence: 99%

Section: H=(ocz)pc V -mentioning

confidence: 99%

Section: H=(ocz)pc V -mentioning

confidence: 99%

Section: H=(ocz)pc V -mentioning

confidence: 99%

“…The recorded high-frequency air temperature values were used to calculate the so-called structure functions (Snyder et al 1996) each half-hour:…”

Section: Appendixmentioning

confidence: 99%

See 3 more Smart Citations

Evapotranspiration of grapevine trained to a gable trellis system under netting and black plastic mulching

Moratiel

Martı́nez-Cob

2011

Irrig Sci

View full text Add to dashboard Cite

Combining the bulk transfer formulation and surface renewal analysis for estimating the sensible heat flux without involving the parameter

Castellvı́

Jiménez-Gavilán

González‐Dugo

2014

Water Resources Research

View full text Add to dashboard Cite

The single-source bulk transfer formulation (based on the Monin-Obukhov Similarity Theory, MOST) has been used to estimate the sensible heat flux, H, in the framework of remote sensing over homogeneous surfaces (H MOST ). The latter involves the canopy parameter, kB 21 , which is difficult to parameterize. Over short and dense grass at a site influenced by regional advection of sensible heat flux, H MOST with kB 21 5 2 (i.e., the value recommended) correlated strongly with the H measured using the Eddy Covariance, EC, method, H EC . However, it overestimated H EC by 50% under stable conditions for samples showing a local air temperature gradient larger than the measurement error, 0.4 km 21 . Combining MOST and Surface Renewal analysis, three methods of estimating H that avoid kB 21 dependency have been derived. These new expressions explain the variability of H versus u Ã T c 2T ðzÞ À Á , where u Ã is the friction velocity, T c is the radiometric surface temperature, and T ðzÞ is the air temperature at height, z. At two measurement heights, the three methods performed excellently. One of the methods developed required the same readily/commonly available inputs as H MOST due to the fact that the ratio between T c 2T ðzÞ À Á and the ramp amplitude was found fairly constant under stable and unstable cases. Over homogeneous canopies, at a site influenced by regional advection of sensible heat flux, the methods proposed are an alternative to the traditional bulk transfer method because they are reliable, exempt of calibration against the EC method, and are comparable or identical in cost of application. It is suggested that the methodology may be useful over bare soil and sparse vegetation.

show abstract

Daytime sensible heat flux estimation over heterogeneous surfaces using multitemporal land‐surface temperature observations

Castellvı́

Cammalleri

Ciraolo

et al. 2016

Water Resources Research

View full text Add to dashboard Cite

Equations based on surface renewal (SR) analysis to estimate the sensible heat flux (H) require as input the mean ramp amplitude and period observed in the ramp-like pattern of the air temperature measured at high frequency. A SR-based method to estimate sensible heat flux (H SR-LST ) requiring only lowfrequency measurements of the air temperature, horizontal mean wind speed, and land-surface temperature as input was derived and tested under unstable conditions over a heterogeneous canopy (olive grove). H SR-LST assumes that the mean ramp amplitude can be inferred from the difference between land-surface temperature and mean air temperature through a linear relationship and that the ramp frequency is related to a wind shear scale characteristic of the canopy flow. The land-surface temperature was retrieved by integrating in situ sensing measures of thermal infrared energy emitted by the surface. The performance of H SR-LST was analyzed against flux tower measurements collected at two heights (close to and well above the canopy top). Crucial parameters involved in H SR-LST , which define the above mentioned linear relationship, were explained using the canopy height and the land surface temperature observed at sunrise and sunset. Although the olive grove can behave as either an isothermal or anisothermal surface, H SR-LST performed close to H measured using the eddy covariance and the Bowen ratio energy balance methods. Root mean square differences between H SR-LST and measured H were of about 55 W m 22 . Thus, by using multitemporal thermal acquisitions, H SR-LST appears to bypass inconsistency between land surface temperature and the mean aerodynamic temperature. The one-source bulk transfer formulation for estimating H performed reliable after calibration against the eddy covariance method. After calibration, the latter performed similar to the proposed SR-LST method.In LST-based applications, the latent heat flux (kET) is often determined as a residual of a simplified SEB, in which the available energy at the surface, given by the difference between the net radiation (R n ) and the soil heat flux (G), is partitioned between kET and sensible heat flux (H) [e.g., Allen et al., 2005]. Even if LST plays an important role in determining the upwelling long-wave component of R n as well as surface

show abstract

Surface renewal analysis for sensible and latent heat flux density

Cited by 143 publications

References 7 publications

Evapotranspiration of grapevine trained to a gable trellis system under netting and black plastic mulching

Evapotranspiration of grapevine trained to a gable trellis system under netting and black plastic mulching

Combining the bulk transfer formulation and surface renewal analysis for estimating the sensible heat flux without involving the parameter

Daytime sensible heat flux estimation over heterogeneous surfaces using multitemporal land‐surface temperature observations

Contact Info

Product

Resources

About