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Relevant bibliographies by topics / Suitable parameterization

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Journal articles

Academic literature on the topic 'Suitable parameterization'

Author: Grafiati

Published: 28 September 2024

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Journal articles on the topic "Suitable parameterization"

1

Mechem, David B., and Yefim L. Kogan. "A Bulk Parameterization of Giant CCN." Journal of the Atmospheric Sciences 65, no. 7 (2008): 2458–66. http://dx.doi.org/10.1175/2007jas2502.1.

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Abstract A parameterization for giant cloud condensation nuclei (GCCN), suitable for use in bulk microphysical models, has been developed that uses precise representations of the condensational growth of aerosol particles in the subcloud layer. The formulation employs an observationally based GCCN distribution function and directly observable parameters of GCCN, such as concentration and the shape of the aerosol spectra. The parameterization couples naturally to parameterizations of sea salt flux from the ocean surface. The behavior of the GCCN parameterization in a large eddy simulation (LES)

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2

Ming, Yi, V. Ramaswamy, Leo J. Donner, and Vaughan T. J. Phillips. "A New Parameterization of Cloud Droplet Activation Applicable to General Circulation Models." Journal of the Atmospheric Sciences 63, no. 4 (2006): 1348–56. http://dx.doi.org/10.1175/jas3686.1.

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Abstract A new parameterization is proposed to link the droplet number concentration to the size distribution and chemical composition of aerosol and updraft velocity. Except for an empirical assumption of droplet growth, the parameterization is formulated almost entirely on first principles to allow for satisfactory performance under a variety of conditions. For a series of updraft velocity ranging from 0.03 to 10.0 m s−1, the droplet number concentrations predicted with the parameterization are in good agreement with the detailed parcel model simulations with an average error of −4 ± 26% (on

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3

Sun, Difu, Junqiang Song, Xiaoyong Li, Kaijun Ren, and Hongze Leng. "A Novel Sea Surface Roughness Parameterization Based on Wave State and Sea Foam." Journal of Marine Science and Engineering 9, no. 3 (2021): 246. http://dx.doi.org/10.3390/jmse9030246.

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A wave state related sea surface roughness parameterization scheme that takes into account the impact of sea foam is proposed in this study. Using eight observational datasets, the performances of two most widely used wave state related parameterizations are examined under various wave conditions. Based on the different performances of two wave state related parameterizations under different wave state, and by introducing the effect of sea foam, a new sea surface roughness parameterization suitable for low to extreme wind conditions is proposed. The behaviors of drag coefficient predicted by t

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4

Alexias, Pavlos, and Kyriakos C. Giannakoglou. "Shape Optimization of a Two-Fluid Mixing Device Using Continuous Adjoint." Fluids 5, no. 1 (2020): 11. http://dx.doi.org/10.3390/fluids5010011.

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In this paper, the continuous adjoint method is used for the optimization of a static mixing device. The CFD model used is suitable for the flow simulation of the two miscible fluids that enter the device. The formulation of the adjoint equations, which allow the computation of the sensitivity derivatives is briefly demonstrated. A detailed analysis of the geometry parameterization is presented and a set of different parameterization scenarios are investigated. In detail, two different parameterizations are combined into a two-stage optimization algorithm which targets maximum mixture uniformi

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5

Madi, Raneem, Gerrit Huibert de Rooij, Henrike Mielenz, and Juliane Mai. "Parametric soil water retention models: a critical evaluation of expressions for the full moisture range." Hydrology and Earth System Sciences 22, no. 2 (2018): 1193–219. http://dx.doi.org/10.5194/hess-22-1193-2018.

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Abstract. Few parametric expressions for the soil water retention curve are suitable for dry conditions. Furthermore, expressions for the soil hydraulic conductivity curves associated with parametric retention functions can behave unrealistically near saturation. We developed a general criterion for water retention parameterizations that ensures physically plausible conductivity curves. Only 3 of the 18 tested parameterizations met this criterion without restrictions on the parameters of a popular conductivity curve parameterization. A fourth required one parameter to be fixed. We estimated pa

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6

Hernández-Rivera, Efraín, Souma Chowdhury, Shawn P. Coleman, Payam Ghassemi, and Mark A. Tschopp. "Integrating exploratory data analytics into ReaxFF parameterization." MRS Communications 8, no. 03 (2018): 1300–1310. http://dx.doi.org/10.1557/mrc.2018.155.

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We present a systematic approach to refine hyperdimensional interatomic potentials, which is showcased on the ReaxFF formulation. The objective of this research is to utilize the relationship between interatomic potential input variables and objective responses (e.g., cohesive energy) to identify and explore suitable parameterizations for the boron carbide (B–C) system. Through statistical data analytics, ReaxFF's parametric complexity was overcome via dimensional reduction (55 parameters) while retaining enough degrees of freedom to capture most of the variability in responses. Two potentials

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7

Ratkowsky, D. A. "A suitable parameterization of the Michaelis-Menten enzyme reaction." Biochemical Journal 240, no. 2 (1986): 357–60. http://dx.doi.org/10.1042/bj2400357.

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It is shown here that a suitable form for estimation and inference using the Michaelis-Menten [(1913) Biochem Z. 49, 333-369] model for simple enzymic reactions is one in which the two parameters appear in the denominator of the equation. In this form, convergence to the least-squares estimates using the Gauss-Newton method [see Kennedy & Gentle (1980) Statistical Computing, Marcel Dekker, New York] is virtually ensured, or, as the model in this form is a member of the class of ‘generalized linear models’, it may be fitted by packages such as those of Rothamsted Experimental Station [(1977

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8

Njuki, Sammy M., Chris M. Mannaerts, and Zhongbo Su. "Accounting for Turbulence-Induced Canopy Heat Transfer in the Simulation of Sensible Heat Flux in SEBS Model." Remote Sensing 15, no. 6 (2023): 1578. http://dx.doi.org/10.3390/rs15061578.

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Surface turbulent heat fluxes are crucial for monitoring drought, heat waves, urban heat islands, agricultural water management, and other hydrological applications. Energy Balance Models (EBMs) are widely used to simulate surface heat fluxes from a combination of remote sensing-derived variables and meteorological data. Single-source EBMs, in particular, are preferred in mapping surface turbulent heat fluxes due to their relative simplicity. However, most single-source EBMs suffer from uncertainties inherent to the parameter kB−1, which is used to account for differences in the source of heat

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9

Gholami, Yaser, Romain Brossier, Stéphane Operto, Alessandra Ribodetti, and Jean Virieux. "Which parameterization is suitable for acoustic vertical transverse isotropic full waveform inversion? Part 1: Sensitivity and trade-off analysis." GEOPHYSICS 78, no. 2 (2013): R81—R105. http://dx.doi.org/10.1190/geo2012-0204.1.

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In most geologic environments, accounting for anisotropy is necessary to perform acoustic full waveform inversion (FWI) of wide-azimuth and wide-aperture seismic data because of the potential dependence of wave speeds on the direction of the wave propagation. In the framework of multiparameter FWI, the subsurface parameterization controls the influence of the different parameter classes on the modeled seismic data as a function of the scattering angle and hence the resolution with which the parameters can be reconstructed and the potential trade-off between different parameters. We have evalua

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10

Boutle, I. A., J. E. J. Eyre, and A. P. Lock. "Seamless Stratocumulus Simulation across the Turbulent Gray Zone." Monthly Weather Review 142, no. 4 (2014): 1655–68. http://dx.doi.org/10.1175/mwr-d-13-00229.1.

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Abstract A pragmatic approach for representing partially resolved turbulence in numerical weather prediction models is introduced and tested. The method blends a conventional boundary layer parameterization, suitable for large grid lengths, with a subgrid turbulence scheme suitable for large-eddy simulation. The key parameter for blending the schemes is the ratio of grid length to boundary layer depth. The new parameterization is combined with a scale-aware microphysical parameterization and tested on a case study forecast of stratocumulus evolution. Simulations at a range of model grid length

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