2020
DOI: 10.18257/raccefyn.1081
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Variación estacional de la temperatura media y los flujos advectivos y atmosféricos de calor en un embalse tropical andino

Abstract: Se estimaron los flujos de energía atmosféricos y advectivos de un embalse tropical a partir de datos de campo, correlaciones empíricas y la aplicación del modelo hidrodinámico Ce-Qual-W2, y se plantea una forma de estimar los cambios de la temperatura media inducidos por estos flujos considerando el efecto de los cambios de volumen almacenado asociados al flujo advectivo. Se pudo establecer que la variabilidad estacional de la temperatura en el embalse está gobernada por los flujos advectivos ya que estos tie… Show more

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Cited by 5 publications
(6 citation statements)
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References 28 publications
(40 reference statements)
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“…As in typical tropical systems, the longwave radiation and latent heat flux cooling attenuate the solar radiation heating rate, in turn modulated by the cloud cover driven by the latitudinal migration of the ITCZ (Talling and Lemoalle 1998), resulting in a small seasonality of the atmospheric heat flux. The canyon morphometry of Porce II enhances the role of the advective flux on the lake heat budget through the low residence time and the reduced surface area in relation to the lake volume (Hayes et al 2017), as in other canyon reservoirs (Xie et al 2017; Marín‐Ramírez et al 2020), suggesting a different behavior to that of large natural tropical lakes with thermal structure driven by the atmospheric heat budget, as the large tropical lakes of East Africa (Talling and Lemoalle 1998; MacIntyre 2012). Mountain and glacial temperate lakes also exhibit a significant role of the throughflow on the overall heat budget (Carmack et al 1979; Smits et al 2020), but as the seasonality of the atmospheric heat flux is also large, both components are of primary relevance for the seasonal course of the lake mean temperature, as we discuss further below.…”
Section: Discussionmentioning
confidence: 99%
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“…As in typical tropical systems, the longwave radiation and latent heat flux cooling attenuate the solar radiation heating rate, in turn modulated by the cloud cover driven by the latitudinal migration of the ITCZ (Talling and Lemoalle 1998), resulting in a small seasonality of the atmospheric heat flux. The canyon morphometry of Porce II enhances the role of the advective flux on the lake heat budget through the low residence time and the reduced surface area in relation to the lake volume (Hayes et al 2017), as in other canyon reservoirs (Xie et al 2017; Marín‐Ramírez et al 2020), suggesting a different behavior to that of large natural tropical lakes with thermal structure driven by the atmospheric heat budget, as the large tropical lakes of East Africa (Talling and Lemoalle 1998; MacIntyre 2012). Mountain and glacial temperate lakes also exhibit a significant role of the throughflow on the overall heat budget (Carmack et al 1979; Smits et al 2020), but as the seasonality of the atmospheric heat flux is also large, both components are of primary relevance for the seasonal course of the lake mean temperature, as we discuss further below.…”
Section: Discussionmentioning
confidence: 99%
“…We modified Marín‐Ramírez et al (2020) formulation to calculate changes in the lake mean temperature by atmospheric and advective heat fluxes (Supporting Information Methods S1) normalΔTmnormalΔt=AsNHFVfρCp+trueQ¯infVf()Ttrue¯infTnormalm0trueQ¯outVf()Ttrue¯outTnormalm0 where V is the lake volume; As is the lake surface area; Cp is the specific heat of water; ρ is the water density (UNESCO 1981); NHF is the net atmospheric heat flux; Tinf and Qinf are the river temperature and discharge; Tout and Qout are the outflow temperature and discharge; normalΔTm is the change of the mean temperature of the lake (Tm) over the time interval normalΔt; the overbar indicates averaging over the time interval; and the subscripts 0 and f refer to variables at the beginning and the end of the interval, respectively. The terms at the right‐hand side represent the rate of change of Tm produced by the atmospheric, inflow and outflow heat fluxes, respectively, which we compared to determine their fr...…”
Section: Methodsmentioning
confidence: 99%
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