2006
DOI: 10.1007/s00704-005-0209-1
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Parameterization of the thermal impacts of sub-grid orography on numerical modeling of the surface energy budget over East Asia

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Cited by 19 publications
(25 citation statements)
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“…Using the numerical results, Zhang et al . [] pointed out that the terrain slope and orientation may affect the computation of solar and infrared radiation fluxes at the surface, as well as the surface sensible and latent heat fluxes, and further alter the diurnal cycle and horizontal distributions of surface energy budget components. Our findings suggested that the orientation of terrain slope might also influence the distributions of the precipitation.…”
Section: Discussionmentioning
confidence: 99%
“…Using the numerical results, Zhang et al . [] pointed out that the terrain slope and orientation may affect the computation of solar and infrared radiation fluxes at the surface, as well as the surface sensible and latent heat fluxes, and further alter the diurnal cycle and horizontal distributions of surface energy budget components. Our findings suggested that the orientation of terrain slope might also influence the distributions of the precipitation.…”
Section: Discussionmentioning
confidence: 99%
“…Lee et al (2012) employed the "3-D Monte Carlo" parameterization scheme and found that the 3-D mountain radiation effects result in larger sensible and latent heat transfer between the surface and the atmosphere over the TP. Zhang et al (2006) and Gu et al (2020) employed the sub-grid terrain radiative forcing schemes in the climate models that well represent the spatial distribution of temperature over the eastern part of the TP compared to the observation and alleviate the modeled precipitation biases over China during summer. The altitude, terrain slope, orientation, sky-view factors and other terrain parameters all have effects on the surface radiation fluxes.…”
Section: Summary and Discussionmentioning
confidence: 99%
“…While, the α and β can be expressed by the gradient of the elevation H (Y. Zhang et al, 2006): = arctg…”
Section: Calculation Of Ssr At Single Point Over Mountainous Areamentioning
confidence: 99%