2019
DOI: 10.4136/ambi-agua.2288
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Evaluation of methods for estimating atmospheric emissivity in Mato-Grossense Cerrado

Abstract: This study analyzed the performance of the Brunt (1932), Swinbank, (1963), Idso and Jackson (1969), Brutsaert (1975), Idso (1981), and Bignami et al. (1995) methods to estimate atmospheric emissivity under grass-dominated savannas (known as campo sujo Cerrado), in the region of Baixada Cuiabana. The estimates were compared with data obtained by energy balance equation in two seasons, dry season (May to August), and wet season (September to December) of 2009. The Swinbank and Idso and Jackson methods, that cons… Show more

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Cited by 9 publications
(5 citation statements)
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“…Over the last few decades, the hydrological cycle and climate of the Brazilian savanna (locally known as Cerrado) have been heavily affected by human activities, especially by the expansion of irrigation and the replacement of native vegetation by crops [1][2][3][4][5][6]. Due to…”
Section: Introductionmentioning
confidence: 99%
“…Over the last few decades, the hydrological cycle and climate of the Brazilian savanna (locally known as Cerrado) have been heavily affected by human activities, especially by the expansion of irrigation and the replacement of native vegetation by crops [1][2][3][4][5][6]. Due to…”
Section: Introductionmentioning
confidence: 99%
“…where P W is the partial water pressure/actual vapor pressure in hectopascal expressed as a function of relative humidity, RH (%) and temperature [70,71]:…”
Section: Methods and Data Processingmentioning
confidence: 99%
“…According to the literature, using semiempirical approaches to estimate ε a has inherent errors linked to instrument-based measurement deviation or uncertainty. Therefore, the use of a properly calibrated ε a model is a viable alternative for estimating more accurately at specific locations using meteorological variables such as air temperature and relative humidity 6 , 18 20 . In this regard, there is plenty of information in the literature about the estimation of R n using empirical and semiempirical ε a models based mainly on ground-based instruments for specific locations of different roughness surfaces worldwide 20 36 .…”
Section: Introductionmentioning
confidence: 99%