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- W1983795696 abstract "This study investigated a two-dimensional Lagrangian stochastic dispersion model for estimating water vapor fluxes and footprint over homogeneous and inhomogeneous surfaces. Over the homogeneous surface, particle trajectories were computed from a 2-D Lagrangian model forced by Eulerian velocity statistics determined by Monin–Obukhov similarity theory (MOST). For an inhomogeneous surface, the velocity and atmospheric stability profiles were computed using a second-order Eulerian closure model, and these local profiles were then used to drive the Lagrangian model. The model simulations were compared with water vapor flux measurements carried out above an irrigated bare soil site and an irrigated potato site. The inhomogeneity involved a step change in surface roughness, humidity, and temperature. Good agreement between eddy-correlation-measured and Lagrangian-model-predicted water vapor fluxes was found for both sites. Hence, this analysis demonstrates the practical utility of second-order closure models in conjunction with Lagrangian analysis to estimate the scalar footprint in planar inhomogeneous flows." @default.
- W1983795696 created "2016-06-24" @default.
- W1983795696 creator A5017040382 @default.
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- W1983795696 date "2008-11-26" @default.
- W1983795696 modified "2023-09-23" @default.
- W1983795696 title "The Lagrangian stochastic model for estimating footprint and water vapor fluxes over inhomogeneous surfaces" @default.
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- W1983795696 doi "https://doi.org/10.1007/s00484-008-0193-0" @default.
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