Academic literature on the topic 'Subgrid heterogeneity'

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Journal articles on the topic "Subgrid heterogeneity"

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Curasi, Salvatore R., Joe R. Melton, Elyn R. Humphreys, Txomin Hermosilla, and Michael A. Wulder. "Implementing a dynamic representation of fire and harvest including subgrid-scale heterogeneity in the tile-based land surface model CLASSIC v1.45." Geoscientific Model Development 17, no. 7 (2024): 2683–704. http://dx.doi.org/10.5194/gmd-17-2683-2024.

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Abstract. Canada's forests play a critical role in the global carbon (C) cycle and are responding to unprecedented climate change as well as ongoing natural and anthropogenic disturbances. However, the representation of disturbance in boreal regions is limited in pre-existing land surface models (LSMs). Moreover, many LSMs do not explicitly represent subgrid-scale heterogeneity resulting from disturbance. To address these limitations, we implement harvest and wildfire forcings in the Canadian Land Surface Scheme Including Biogeochemical Cycles (CLASSIC) land surface model alongside dynamic til
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Huang, Meng, Po-Lun Ma, Nathaniel W. Chaney, et al. "Representing surface heterogeneity in land–atmosphere coupling in E3SMv1 single-column model over ARM SGP during summertime." Geoscientific Model Development 15, no. 16 (2022): 6371–84. http://dx.doi.org/10.5194/gmd-15-6371-2022.

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Abstract. The Earth's land surface features spatial and temporal heterogeneity over a wide range of scales below those resolved by current Earth system models (ESMs). State-of-the-art land and atmosphere models employ parameterizations to represent their subgrid heterogeneity, but the land–atmosphere coupling in ESMs typically operates on the grid scale. Communicating the information on the land surface heterogeneity with the overlying atmospheric boundary layer (ABL) remains a challenge in modeling land–atmosphere interactions. In order to account for the subgrid-scale heterogeneity in land–a
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Tesfa, Teklu K., and Lai-Yung Ruby Leung. "Exploring new topography-based subgrid spatial structures for improving land surface modeling." Geoscientific Model Development 10, no. 2 (2017): 873–88. http://dx.doi.org/10.5194/gmd-10-873-2017.

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Abstract. Topography plays an important role in land surface processes through its influence on atmospheric forcing, soil and vegetation properties, and river network topology and drainage area. Land surface models with a spatial structure that captures spatial heterogeneity, which is directly affected by topography, may improve the representation of land surface processes. Previous studies found that land surface modeling, using subbasins instead of structured grids as computational units, improves the scalability of simulated runoff and streamflow processes. In this study, new land surface s
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Schymanski, Stanislaus J., Axel Kleidon, Marc Stieglitz, and Jatin Narula. "Maximum entropy production allows a simple representation of heterogeneity in semiarid ecosystems." Philosophical Transactions of the Royal Society B: Biological Sciences 365, no. 1545 (2010): 1449–55. http://dx.doi.org/10.1098/rstb.2009.0309.

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Feedbacks between water use, biomass and infiltration capacity in semiarid ecosystems have been shown to lead to the spontaneous formation of vegetation patterns in a simple model. The formation of patterns permits the maintenance of larger overall biomass at low rainfall rates compared with homogeneous vegetation. This results in a bias of models run at larger scales neglecting subgrid-scale variability. In the present study, we investigate the question whether subgrid-scale heterogeneity can be parameterized as the outcome of optimal partitioning between bare soil and vegetated area. We find
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Kunstmann, H. "Upscaling of land-surface parameters through direct moment propagation." Advances in Geosciences 5 (December 16, 2005): 127–31. http://dx.doi.org/10.5194/adgeo-5-127-2005.

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Abstract. A new methodology is presented that allows the upscaling of land surface parameters of a Soil-Vegetation-Atmosphere-Transfer (SVAT) Model. Focus is set on the proper representation of latent and sensible heat fluxes on grid scale at underlying subgrid-scale heterogeneity. The objective is to derive effective land surface parameters in the sense that they are able to yield the same heat fluxes on the grid scale as the averaged heat fluxes on the subgrid-scale. A combination of inverse modelling and Second-Order-First-Moment (SOFM) propagation is applied for the derivation of effective
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de Vrese, Philipp, and Stefan Hagemann. "Explicit Representation of Spatial Subgrid-Scale Heterogeneity in an ESM." Journal of Hydrometeorology 17, no. 5 (2016): 1357–71. http://dx.doi.org/10.1175/jhm-d-15-0080.1.

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Abstract In present-day Earth system models, the coupling of land surface and atmosphere is based on simplistic assumptions. Often the heterogeneous land surface is represented by a set of effective parameters valid for an entire model grid box. Other models assume that the surface fluxes become horizontally homogeneous at the lowest atmospheric model level. For heterogeneity above a certain horizontal length scale this is not the case, resulting in spatial subgrid-scale variability in the fluxes and in the state of the atmosphere. The Max Planck Institute for Meteorology’s Earth System Model
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Ke, Y., L. R. Leung, M. Huang, and H. Li. "Enhancing the representation of subgrid land surface characteristics in land surface models." Geoscientific Model Development 6, no. 5 (2013): 1609–22. http://dx.doi.org/10.5194/gmd-6-1609-2013.

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Abstract. Land surface heterogeneity has long been recognized as important to represent in the land surface models. In most existing land surface models, the spatial variability of surface cover is represented as subgrid composition of multiple surface cover types, although subgrid topography also has major controls on surface processes. In this study, we developed a new subgrid classification method (SGC) that accounts for variability of both topography and vegetation cover. Each model grid cell was represented with a variable number of elevation classes and each elevation class was further d
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Efendiev, Y., and L. J. Durlofsky. "Numerical modeling of subgrid heterogeneity in two phase flow simulations." Water Resources Research 38, no. 8 (2002): 3–1. http://dx.doi.org/10.1029/2000wr000190.

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Arnold, Nathan P. "Representing effects of surface heterogeneity in a multi-plume eddy diffusivity mass flux boundary layer parameterization." Geoscientific Model Development 17, no. 12 (2024): 5041–56. http://dx.doi.org/10.5194/gmd-17-5041-2024.

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Abstract. Earth system models (ESMs) typically represent surface heterogeneity on scales smaller than the atmospheric grid, while land–atmosphere coupling is based on grid mean values. Here we present a general approach allowing subgrid surface heterogeneity to influence the updraft thermodynamic properties in a multi-plume mass flux parameterization. The approach is demonstrated in single column experiments with an eddy diffusivity–mass flux (EDMF) boundary layer scheme. Instead of triggering based on grid mean surface values, updrafts are explicitly assigned to individual surface tiles with
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Malyshev, Sergey, Elena Shevliakova, Ronald J. Stouffer, and Stephen W. Pacala. "Contrasting Local versus Regional Effects of Land-Use-Change-Induced Heterogeneity on Historical Climate: Analysis with the GFDL Earth System Model." Journal of Climate 28, no. 13 (2015): 5448–69. http://dx.doi.org/10.1175/jcli-d-14-00586.1.

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Abstract The effects of land-use and land-cover change (LULCC) on surface climate using two ensembles of numerical experiments with the Geophysical Fluid Dynamics Laboratory (GFDL) comprehensive Earth System Model ESM2Mb are investigated in this study. The experiments simulate historical climate with two different assumptions about LULCC: 1) no land-use change with potential vegetation (PV) and 2) with the CMIP5 historical reconstruction of LULCC (LU). Two different approaches were used in the analysis: 1) the authors compare differences in LU and PV climates to evaluate the regional and globa
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Dissertations / Theses on the topic "Subgrid heterogeneity"

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Lee, Haksu. "Development and performance analysis of a physically based hydrological model incorporating the effects of subgrid heterogeneity." University of Western Australia. School of Environmental Systems Engineering, 2007. http://theses.library.uwa.edu.au/adt-WU2007.0129.

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[Truncated abstract] The balance equations of mass and momentum, defined at the scale of what has been defined as a Representative Elementary Watershed (REW) has been proposed by Reggiani et al. (1998, 1999). While it has been acknowledged that the REW approach and the associated balance equations can be the basis for the development of a new generation of distributed physically based hydrological models, four building blocks have been identified as necessary to transform the REW approach into, at the very least least, a workable modelling framework beyond the theoretical achievements. These a
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Lebrun, Raphaël. "Modélisation du recouvrement vertical des nuages et impacts sur le rayonnement." Electronic Thesis or Diss., Sorbonne université, 2023. http://www.theses.fr/2023SORUS405.

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Le transfert radiatif est crucial dans la modélisation de l’atmosphère, du climat, et pour la simulation du changement climatique. Les calculs de flux radiatifs au sommet de l’atmosphère et en surface permettent notamment d’estimer le bilan énergétique de la planète, grandeur dont la bonne estimation est une contrainte importante dans les simulations climatiques. De nombreux éléments interagissent avec le rayonnement dans l’atmosphère : gaz, aérosols, nuages, et différents types de surfaces (végétation, océans, neige...). Ces différents composants ne se comportent pas de la même façon avec le
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Book chapters on the topic "Subgrid heterogeneity"

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Avissar, Roni. "A Statistical-Dynamical Approach to Parameterize Subgrid-Scale Land-Surface Heterogeneity in Climate Models." In Land Surface — Atmosphere Interactions for Climate Modeling. Springer Netherlands, 1991. http://dx.doi.org/10.1007/978-94-009-2155-9_8.

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Rubin, Yoram. "Upscaling, Computational Aspects, and Statistics of the Velocity Field." In Applied Stochastic Hydrogeology. Oxford University Press, 2003. http://dx.doi.org/10.1093/oso/9780195138047.003.0011.

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This chapter deals with computing the velocity fields in heterogeneous media. This is a broad area, and we shall concentrate here on upscaling, on the spatial correlation pattern of the velocity, and on accuracy measures for techniques that compute velocity fields. Numerical simulations of velocity fields in heterogeneous media (Ababou et al., 1988, 1989; Bellin et al., 1992, 1994; Bellin and Rubin, 1996; Dykaar and Kitandis, 1992a,b; Hassan et al., 1998a,b; Salandin and Fiorotto, 1998) indicate that to capture accurately the effects of the spatial variability of the conductivity on the veloci
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Rubin, Yoram. "An Overview of Stochastic Tools for Modeling Transport of Tracers in Heterogeneous Media." In Applied Stochastic Hydrogeology. Oxford University Press, 2003. http://dx.doi.org/10.1093/oso/9780195138047.003.0012.

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Spatial variability and the uncertainty in characterizing the flow domain play an important role in the transport of contaminants in porous media: they affect the pathlines followed by solute particles, the spread of solute bodies, the shape of breakthrough curves, the spatial variability of the concentration, and the ability to quantify any of these accurately. This chapter briefly reviews some basic concepts which we shall later employ for the analysis of solute transport in heterogeneous media, and also points out some issues we shall address in the subsequent chapters. Our exposition in ch
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Rosenbalm Daniel C. and Zapata Claudia E. "Stochastic Solution to the Subgrade Resilient Modulus: Monte Carlo Approach." In From Fundamentals to Applications in Geotechnics. IOS Press, 2015. https://doi.org/10.3233/978-1-61499-603-3-314.

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The AASHTOware pavement design procedure is based on a hierarchical approach where a greater number of input parameters are determined by laboratory testing when the magnitude, cost and importance of the project increase. The characterization of unbound materials is accomplished by the estimation of the resilient modulus based on either laboratory measurements (Level 1), correlations with other properties (Level 2), or values based on local experience (Level 3). The procedure makes use of deterministic solutions which are difficult to interpret due to the lack of information related to the com
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Conference papers on the topic "Subgrid heterogeneity"

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Bou-Zeid, Elie, Charles Meneveau, and Marc B. Parlange. "Applications of the Lagrangian Dynamic Model in LES of Turbulent Flow Over Surfaces With Heterogeneous Roughness Distributions." In ASME 2004 Heat Transfer/Fluids Engineering Summer Conference. ASMEDC, 2004. http://dx.doi.org/10.1115/ht-fed2004-56127.

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We study turbulent flow over surfaces with varying roughness scales, using large eddy simulation (LES). The goal is to use LES results to formulate effective boundary conditions in terms of effective roughness height and blending height, to be used for RANS. The LES are implemented with the dynamic Smagorinsky model based on the Germano identity. However, as is well-known, when this identity is applied locally, it yields a coefficient with unphysically strong fluctuations and averaging is needed for better realism and numerical stability. The traditional approach consists of averaging over hom
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