Sensible Heat Flux-Radiometric Surface Temperature Relationship Over Sparse Vegetation: Parameterizing B-1

Lhomme, Jean-Paul; Chehbouni, Abdelghani; Monteny, Bruno

doi:10.1023/a:1002786402695

Cited by 69 publications

(66 citation statements)

References 49 publications

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“…T aero is defined as the extrapolation of the air temperature profile down to an effective height within the canopy at which the vegetation components of heat fluxes arise [38,39], but it is not an easily measured variable in reality. For H estimates, T aero is often replaced by surface radiative temperatures (T s ) by adding supplementary resistance, defining a radiometric exchange coefficient, or constructing the relationship between T aero and T s [39][40][41]. In this study, H is expressed by rad a ( )…”

Section: Radiometric Heat Conductance P Radmentioning

confidence: 99%

Derivation of Daily Evaporative Fraction Based on Temporal Variations in Surface Temperature, Air Temperature, and Net Radiation

Tang

et al. 2013

Remote Sensing

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Based on surface energy balance and the assumption of fairly invariant evaporative fraction (EF) during daytime, this study proposes a new parameterization scheme of directly estimating daily EF. Daily EF is parameterized as a function of temporal variations in surface temperature, air temperature, and net radiation. The proposed EF parameterization scheme can well reproduce daily EF estimates from a soil-vegetation-atmosphere transfer (SVAT) model with a root mean square error (RMSE) of 0.13 and a coefficient of determination (R 2 ) of 0.719. When input variables from in situ measurements at the Yucheng station in North China are used, daily EF estimated by the proposed method is in good agreement with measurements from the eddy covariance system corrected by the residual energy method with an R 2 of 0.857 and an RMSE of 0.119. MODIS/Aqua remotely sensed data were also applied to estimate daily EF. Though there are some inconsistencies between the remotely sensed daily EF estimates and in situ measurements due to errors in input variables and measurements, the result from the proposed parameterization scheme shows a slight improvement to SEBS-estimated EF with remotely sensed instantaneous inputs. OPEN ACCESSRemote Sens. 2013, 5 5370

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Section: Radiometric Heat Conductance P Radmentioning

confidence: 99%

Derivation of Daily Evaporative Fraction Based on Temporal Variations in Surface Temperature, Air Temperature, and Net Radiation

Tang

et al. 2013

Remote Sensing

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“…Because T aero is not easily measured, surface radiative temperature (T s ) is frequently used to replace T aero for H estimates. By defining radiometric heat conductance (P rad ) corresponding to T s [39,40], H is expressed as follows:…”

Section: Le T R T G T H T Q T H Tmentioning

confidence: 99%

Daily Evaporative Fraction Parameterization Scheme Driven by Day–Night Differences in Surface Parameters: Improvement and Validation

Tang

et al. 2014

Remote Sensing

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Abstract:In a previous study, a daily evaporative fraction (EF) parameterization scheme was derived based on day-night differences in surface temperature, air temperature, and net radiation. Considering the advantage that incoming solar radiation can be readily retrieved from remotely sensed data in comparison with surface net radiation, this study simplified the daily EF parameterization scheme using incoming solar radiation as an input. Daily EF estimates from the simplified scheme were nearly equivalent to the results from the original scheme. In situ measurements from six Ameriflux sites with different land covers were used to validate the new simplified EF parameterization scheme. Results showed that daily EF estimates for clear skies were consistent with the in situ EF corrected OPEN ACCESSRemote Sens. 2014, 6 4370 by the residual energy method, showing a coefficient of determination of 0.586 and a root mean square error of 0.152. Similar results were also obtained for partly clear sky conditions. The non-closure of the measured energy and heat fluxes and the uncertainty in determining fractional vegetation cover were likely to cause discrepancies in estimated daily EF and measured counterparts. The daily EF estimates of different land covers indicate that the constant coefficients in the simplified EF parameterization scheme are not strongly site-specific.

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“…Especially for sparse vegetations the value of kB −1 is seen to vary widely, and a dependence on vegetation type and conditions as well as climate has been observed in several studies Massman, 1999;Lhomme et al, 2000). This had led some to question the usefulness of the kB −1 approach for sparse canopies Verhoef et al, 1997).…”

Section: Distributed Evaluation Against Latent Heat Fluxesmentioning

confidence: 99%

Land-surface modelling in hydrological perspective – a review

2006

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Abstract. The purpose of this paper is to provide a review of the different types of energy-based land-surface models (LSMs) and discuss some of the new possibilities that will arise when energy-based LSMs are combined with distributed hydrological modelling. We choose to focus on energy-based approaches, because in comparison to the traditional potential evapotranspiration models, these approaches allow for a stronger link to remote sensing and atmospheric modelling. New opportunities for evaluation of distributed land-surface models through application of remote sensing are discussed in detail, and the difficulties inherent in various evaluation procedures are presented. Finally, the dynamic coupling of hydrological and atmospheric models is explored, and the perspectives of such efforts are discussed.

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Sensible Heat Flux-Radiometric Surface Temperature Relationship Over Sparse Vegetation: Parameterizing B-1

Cited by 69 publications

References 49 publications

Derivation of Daily Evaporative Fraction Based on Temporal Variations in Surface Temperature, Air Temperature, and Net Radiation

Derivation of Daily Evaporative Fraction Based on Temporal Variations in Surface Temperature, Air Temperature, and Net Radiation

Daily Evaporative Fraction Parameterization Scheme Driven by Day–Night Differences in Surface Parameters: Improvement and Validation

Land-surface modelling in hydrological perspective – a review

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