A simplified equation to estimate spatial reference evaporation from remote sensing-based surface temperature and local meteorological data

Rivas, Raúl Eduardo; Caselles, Vicente

doi:10.1016/j.rse.2004.06.021

Cited by 86 publications

(44 citation statements)

References 24 publications

(23 reference statements)

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“…Researchers recently successfully introduced the Penman-Monteith (P-M) equation, which was initially applied to calculate soil evaporation rate in Pedology field [25,26], to estimate the evaporation rate from wet porous building materials [16,27].…”

Section: Multivariate Nonlinear Model Of Evaporation Ratementioning

confidence: 99%

The impact of evaporation from porous tile on roof thermal performance: A case study of Guangzhou’s climatic conditions

Zhang

et al. 2017

Energy and Buildings

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a b s t r a c tThe evaporative-cooling roof is a popular passive energy conservation technique. This article presents a novel approach for modelling and analysing the influence of evaporation on roof thermal performance. A multivariate nonlinear model was developed for the prediction of the evaporation rate from porous tile. A computer program was then developed based on the one-dimensional roof unsteady heat transfer theory. Finally, the computer program and hourly weather data of Guangzhou, China, were used to analyse the impacts of evaporation (including the evaporation start time and water-application frequency) and slope orientation on roof thermal performance. Evaporation beginning at 11:00 can reduce the external surface temperatures of a horizontal roof and 30 • -inclined east-sloping and west-sloping roofs by up to 11.3, 10.7, and 9.8 • C, respectively, from those of a non-evaporative roof. This, in turn, can reduce the peak-hour (16:00-20:00) internal surface heat flux. Additionally, with the horizontal roof, the reduction in the peak-hour heat flux can be doubled if the evaporative layer is frequently replenished with water.

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Section: Multivariate Nonlinear Model Of Evaporation Ratementioning

confidence: 99%

The impact of evaporation from porous tile on roof thermal performance: A case study of Guangzhou’s climatic conditions

Zhang

et al. 2017

Energy and Buildings

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“…Thermal observations of the Earth's surface have long been recognized as a valuable source of information for evaluation of the surface energy balance over large regions (Price, 1980), and the direct, but complex relationship between surface temperature and evapotranspiration has been illustrated in several studies (Rivas and Caselles, 2004;Jackson et al, 1981;Shuttleworth and Gurney, 1990;Mauser and Schädlich, 1998). Recognizing this close relationship, remotely sensed maps of land-surface temperatures have previously been used to evaluate model performance by comparing maps of simulated surface temperatures to their observed counterpart.…”

Section: Distributed Evaluation Against Thermal Observationsmentioning

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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“…Empirical and semi-empirical methods: These methods use site specific or semi-empirical relationships between two o more variables. The models proposed by Priestley & Taylor (1972), hereafter referred to as P-T, Jackson et al (1977); Seguin et al (1989); Granger & Gray (1989) ;Holwill & Stewart (1992); Carlson et al (1995); Jiang & Islam (2001) and Rivas & Caselles (2004), lie within this category.…”

Section: Introductionmentioning

confidence: 99%