2016
DOI: 10.1016/j.enbuild.2016.05.047
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The application of energy balance at the bare soil surface to predict annual soil temperature distribution

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Cited by 38 publications
(21 citation statements)
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“…Landscape structure consists of anthropogenic and natural components and their spatial pattern [6,7]. Building materials and non-vegetative surface (bare soil) can trap solar radiation [8] in the daytime and then re-radiate during the nighttime due to the decline in albedo [9]. They are one of the reasons for the increasing land surface temperature (LST), which can also be the cause of the fluctuation of surface energy balance [10].…”
Section: Introductionmentioning
confidence: 99%
“…Landscape structure consists of anthropogenic and natural components and their spatial pattern [6,7]. Building materials and non-vegetative surface (bare soil) can trap solar radiation [8] in the daytime and then re-radiate during the nighttime due to the decline in albedo [9]. They are one of the reasons for the increasing land surface temperature (LST), which can also be the cause of the fluctuation of surface energy balance [10].…”
Section: Introductionmentioning
confidence: 99%
“…As a response to the conditions described, hourly mean soil temperature values of the top layers (T 5cm and T 15cm ) also show higher variability than do daily mean soil temperature values. Therefore, in contrast to what occurs in bare soils of mid and high latitude regions (e.g., Oliveira et al, 2001;Awe et al, 2015;Staniec & Nowak, 2016), in bare soils of equatorial regions, the pattern of temperature at a given depth does not vary throughout the year. Contrary to Staniec and Nowak's (2016) findings, we do not expect that subsurface soil layers reach higher temperatures than the top layer does, as can occur between late fall and early spring in other latitudes.…”
Section: Soil Temperature As An Air Temperature Functionmentioning
confidence: 79%
“…This model is general enough to include major energy sources and sinks, and also simple enough to be understood analytically. Such type of model was previously used in many studies of the temperature variability of oceanic mixed layer, soil, and firn (Stevenson and Niiler, 1983;Jun et al, 2002;Cronin et al, 2015;Staniec and Nowak, 2016).…”
Section: Model Designmentioning
confidence: 99%