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Journal articles on the topic 'Suitable parameterization'

Author: Grafiati

Published: 28 September 2024

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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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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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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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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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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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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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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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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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11

Masmoudi, Nabil, and Tariq Alkhalifah. "A new parameterization for waveform inversion in acoustic orthorhombic media." GEOPHYSICS 81, no. 4 (2016): R157—R171. http://dx.doi.org/10.1190/geo2015-0635.1.

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Orthorhombic anisotropic model inversion is extra challenging because of the multiple parameter nature of the inversion problem. The high number of parameters required to describe the medium exerts considerable trade-off and additional nonlinearity to a full-waveform inversion (FWI) application. Choosing a suitable set of parameters to describe the model and designing an effective inversion strategy can help in mitigating this problem. Using the Born approximation, which is the central ingredient of the FWI update process, we have derived radiation patterns for the different acoustic orthorhom

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Liu, Chun Li, Hai Long Chen, Lei Shao, Jun Ting Wang, and Cheng Ji You. "Parameterizations and Parameters Relations of Stable Distribution." Applied Mechanics and Materials 543-547 (March 2014): 1721–27. http://dx.doi.org/10.4028/www.scientific.net/amm.543-547.1721.

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For the problem of various non-Gaussian signals and noises have distinct spiky and impulsive characteristics in practice, which cannot be solved by Gaussian distribution, we focus on the Alpha stable distribution. This paper firstly sets forth the representation of standard parameterization, and gives some properties in this parameterization. Secondly, define a representation of the parameterization for the purpose of being suitable for numerical calculation and modeling, clears the meaning of each parameter, finds relations between parameters in these representations. Finally, analyze and pro

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Plant, R. S., and G. C. Craig. "A Stochastic Parameterization for Deep Convection Based on Equilibrium Statistics." Journal of the Atmospheric Sciences 65, no. 1 (2008): 87–105. http://dx.doi.org/10.1175/2007jas2263.1.

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Abstract A stochastic parameterization scheme for deep convection is described, suitable for use in both climate and NWP models. Theoretical arguments and the results of cloud-resolving models are discussed in order to motivate the form of the scheme. In the deterministic limit, it tends to a spectrum of entraining/detraining plumes and is similar to other current parameterizations. The stochastic variability describes the local fluctuations about a large-scale equilibrium state. Plumes are drawn at random from a probability distribution function (PDF) that defines the chance of finding a plum

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Ahasan, M. N., M. A. M. Chowdhury, and D. A. Quadir. "SENSITIVITY TEST OF PARAMETERIZATION SCHEMES OF MM5 MODEL FOR PREDICTION OF THE HIGH IMPACT RAINFALL EVENTS OVER BANGLADESH." Journal of Mechanical Engineering 44, no. 1 (2014): 33–42. http://dx.doi.org/10.3329/jme.v44i1.19496.

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The sensitivity test of parameterization schemes for prediction of summer monsoon high impact rainfallevents (HIRE) over Bangladesh has been performed using the Fifth-Generation PSU/NCAR Mesoscale Model(MM5) conducting six historical HIRE cases. The MM5 model was run on triple-nested domains at 45, 15, 5 kmhorizontal resolutions using Anthes-Kuo (AK), Grell (Gr), Kain-Fritsch (KF), Betts-Miller (BM) andKain-Fritsch2 (KF2) cumulus parameterization schemes (CPS) with Medium Range Forecast (MRF) andBlackadar planetary boundary layer (PBL).The model predicted rainfall was compared both spatially a

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15

Larson, V. E., and D. P. Schanen. "The Subgrid Importance Latin Hypercube Sampler (SILHS): a multivariate subcolumn generator." Geoscientific Model Development 6, no. 5 (2013): 1813–29. http://dx.doi.org/10.5194/gmd-6-1813-2013.

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Abstract. Coarse-resolution climate and weather forecast models cannot accurately parameterize small-scale, nonlinear processes without accounting for subgrid-scale variability. To do so, some models integrate over the subgrid variability analytically. Although analytic integration methods are attractive, they can be used only with physical parameterizations that have a sufficiently simple functional form. Instead, this paper introduces a method to integrate subgrid variability using a type of Monte Carlo integration. The method generates subcolumns with suitable vertical correlations and feed

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16

Puig, Lluis. "Parameterization of Irreducible Characters for p-Solvable Groups." Algebra Colloquium 19, no. 01 (2012): 1–40. http://dx.doi.org/10.1142/s1005386712000028.

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The weights for a finite group G with respect to a prime number p were introduced by Jon Alperin, in order to formulate his celebrated conjecture. In 1992, Everett Dade formulated a refinement of Alperin's conjecture involving ordinary irreducible characters — with their defect — and, in 2000, Geoffrey Robinson proved that the new conjecture holds for p-solvable groups. But this refinement is formulated in terms of a vanishing alternating sum, without giving any possible refinement for the weights. In this note we show that, in the case of the p-solvable finite groups, the method developed in

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17

Singh, Pankaj, and Nidhi Gaba. "Comparative Analysis of Different Control Schemes in Delta Domain Using Time Moments." International Journal of Advance Research and Innovation 3, no. 1 (2015): 84–89. http://dx.doi.org/10.51976/ijari.311515.

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Traditionally, discrete-data sampled data systems are represented using shift-operator parameterization. Such parameterization was not suitable at high sampling rates. An alternative parameterization using the so-called delta operator maintains the close correspondence to its continues-time counterpart at fast sampling rates. This paper deals with the application of time moment estimation and adaptive control schemes. In the fast sampling limit, the delta operator model tends to the analog dynamic system model. This intrinsic property of the delta operator model unifies continues and discrete

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18

Romakkaniemi, S., H. Kokkola, and A. Laaksonen. "Parameterization of the nitric acid effect on CCN activation." Atmospheric Chemistry and Physics 5, no. 4 (2005): 879–85. http://dx.doi.org/10.5194/acp-5-879-2005.

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Abstract. In this paper we present a parameterization of the nitric acid effect on cloud droplet formation. The new parameterization is intended to be used in large scale models in order to obtain regional and global estimates of the effect of nitric acid on cloud drop concentrations and the radiative balance. The parameterization is based on numerical air parcel model simulations and can be applied for unimodal and bimodal lognormal aerosol particle size distributions in a large variety of different conditions. In addition to the aerosol particle distribution and gas-phase HNO3 concentration,

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19

Burgess, M., M. E. Carrington, and G. Kunstatter. "Covariant approach to equilibration in effective field theories." Canadian Journal of Physics 80, no. 2 (2002): 97–107. http://dx.doi.org/10.1139/p01-136.

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The equilibration of two coupled reservoirs is studied using a Green function approach that is suitable for future development with the closed time path method. The problem is solved in two parameterizations, to demonstrate the nontrivial issues of parameterization in both the intermediate steps and the interpretation of physical quantities. We use a covariant approach to find self-consistent solutions for the statistical distributions as functions of time. We show that by formally introducing covariant connections, one can rescale a slowly varying nonequilibrium theory so that it appears to b

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20

Jakóbczak, Dariusz. "Curve Parameterization and Curvature via Method of Hurwitz-Radon Matrices." Image Processing & Communications 16, no. 1-2 (2011): 49–56. http://dx.doi.org/10.2478/v10248-012-0005-3.

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Curve Parameterization and Curvature via Method of Hurwitz-Radon MatricesParametric representation of the curve is more appropriate in computer vision applications then explicit formy=f(x)or implicit representationf(x, y) = 0. Proposed method of Hurwitz-Radon Matrices (MHR) can be used in parameterization and interpolation of curves in the plane. Suitable parameterization leads to curvature calculations. Points with local maximum curvature are treated as feature points in object recognition and image analysis. This paper contains the way of curve parameterization and computing the curvature in

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21

Wang, Shiyi, Jingwen Ren, Xianzhong Fang, et al. "IGA-suitable planar parameterization with patch structure simplification of closed-form polysquare." Computer Methods in Applied Mechanics and Engineering 392 (March 2022): 114678. http://dx.doi.org/10.1016/j.cma.2022.114678.

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22

Wang, Xu, and Weiyin Ma. "Smooth Analysis-Suitable Parameterization Based on a Weighted and Modified Liao Functional." Computer-Aided Design 140 (November 2021): 103079. http://dx.doi.org/10.1016/j.cad.2021.103079.

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23

Xu, Gang, Bernard Mourrain, Régis Duvigneau, and André Galligo. "Analysis-suitable volume parameterization of multi-block computational domain in isogeometric applications." Computer-Aided Design 45, no. 2 (2013): 395–404. http://dx.doi.org/10.1016/j.cad.2012.10.022.

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Romakkaniemi, S., H. Kokkola, and A. Laaksonen. "Parameterization of the nitric acid effect on CCN activation." Atmospheric Chemistry and Physics Discussions 4, no. 6 (2004): 7859–79. http://dx.doi.org/10.5194/acpd-4-7859-2004.

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Abstract. In this paper we present a parameterization of the nitric acid effect on cloud droplet formation. The new parameterization is intended to be used in large scale models in order to obtain regional and global estimates of the effect of nitric acid on cloud drop concentrations and the radiative balance. The parameterization is based on numerical air parcel model simulations and can be applied for unimodal and bimodal lognormal aerosol particle size distributions in a large variety of different conditions. In addition to the aerosol particle distribution and gas-phase HNO3 concentration,

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25

Ostrowski, Janusz, Leszek Łabędzki, and Ewa Kanecka-Geszke. "Parameterization and cartographic presentation of water deficits of cultivated plants." International Agrophysics 29, no. 3 (2015): 341–51. http://dx.doi.org/10.1515/intag-2015-0041.

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Abstract The aim of the paper was to characterise and present cartographically water deficits of crop plants grown on different soils in Poland. The calculation of water deficits was carried out for 40 meteorological stations of the Institute of Meteorology and Water Management and the Institute of Technology and Life Sciences using meteorological data from the growing seasons 1970-2004 for most crops grown in Poland. Estimations were made for soils suitable for growing the selected crop plants. Water deficits were determined for a probability of exceedance of 20 and 50%. They served to create

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Jenkins, Adrian, Keith W. Nicholls, and Hugh F. J. Corr. "Observation and Parameterization of Ablation at the Base of Ronne Ice Shelf, Antarctica." Journal of Physical Oceanography 40, no. 10 (2010): 2298–312. http://dx.doi.org/10.1175/2010jpo4317.1.

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Abstract Parameterizations of turbulent transfer through the oceanic boundary layer beneath an ice shelf are tested using direct measurements of basal ablation. Observations were made in the southwestern part of Ronne Ice Shelf, about 500 km from open water. The mean basal ablation rate was measured over a month-long and a year-long period using phase-sensitive radar to record the thinning of the ice shelf. Ocean temperatures were observed within about 25 m of the ice shelf base over the period of the radar observations, while the tidally dominated ocean currents were estimated from tidal anal

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27

Albert, M. F. M. A., M. D. Anguelova, A. M. M. Manders, M. Schaap, and G. de Leeuw. "Parameterization of oceanic whitecap fraction based on satellite observations." Atmospheric Chemistry and Physics Discussions 15, no. 15 (2015): 21219–69. http://dx.doi.org/10.5194/acpd-15-21219-2015.

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Abstract. In this study the utility of satellite-based whitecap fraction (W) values for the prediction of sea spray aerosol (SSA) emission rates is explored. More specifically, the study is aimed at improving the accuracy of the sea spray source function (SSSF) derived by using the whitecap method through the reduction of the uncertainties in the parameterization of W by better accounting for its natural variability. The starting point is a dataset containing W data, together with matching environmental and statistical data, for 2006. Whitecap fraction W was estimated from observations of the

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Manukyan, Edgar, and Hansruedi Maurer. "Elastic vertically transversely isotropic full-waveform inversion using cross-gradient constraints — An application toward high-level radioactive waste repository monitoring." GEOPHYSICS 85, no. 4 (2020): R313—R323. http://dx.doi.org/10.1190/geo2019-0061.1.

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Anisotropic seismic full-waveform inversion (FWI) is a challenging task. In the case of 2D vertically transversely isotropic (VTI) media, there are five independent model parameters. This relatively large number of different parameter types imposes significant trade-off issues and makes the inversion parameterization a challenging task. The problem is less severe in a crosshole configuration, in which a wider angular coverage of the region of interest is available. There exist many suggestions for suitable inversion parameterizations. We have determined that, for a crosshole configuration, a r

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Phillips, Thomas J., Gerald L. Potter, David L. Williamson, et al. "Evaluating Parameterizations in General Circulation Models: Climate Simulation Meets Weather Prediction." Bulletin of the American Meteorological Society 85, no. 12 (2004): 1903–16. http://dx.doi.org/10.1175/bams-85-12-1903.

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To significantly improve the simulation of climate by general circulation models (GCMs), systematic errors in representations of relevant processes must first be identified, and then reduced. This endeavor demands that the GCM parameterizations of unresolved processes, in particular, should be tested over a wide range of time scales, not just in climate simulations. Thus, a numerical weather prediction (NWP) methodology for evaluating model parameterizations and gaining insights into their behavior may prove useful, provided that suitable adaptations are made for implementation in climate GCMs

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Keita, Setigui Aboubacar, Eric Girard, Jean-Christophe Raut, et al. "A new parameterization of ice heterogeneous nucleation coupled to aerosol chemistry in WRF-Chem model version 3.5.1: evaluation through ISDAC measurements." Geoscientific Model Development 13, no. 11 (2020): 5737–55. http://dx.doi.org/10.5194/gmd-13-5737-2020.

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Abstract. In the Arctic, during polar night and early spring, ice clouds are separated into two leading types of ice clouds (TICs): (1) TIC1 clouds characterized by a large concentration of very small crystals and TIC2 clouds characterized by a low concentration of large ice crystals. Using a suitable parameterization of heterogeneous ice nucleation is essential for properly representing ice clouds in meteorological and climate models and subsequently understanding their interactions with aerosols and radiation. Here, we describe a new parameterization for ice crystal formation by heterogeneou

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Jourdain, Nicolas C., Xylar Asay-Davis, Tore Hattermann, et al. "A protocol for calculating basal melt rates in the ISMIP6 Antarctic ice sheet projections." Cryosphere 14, no. 9 (2020): 3111–34. http://dx.doi.org/10.5194/tc-14-3111-2020.

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Abstract. Climate model projections have previously been used to compute ice shelf basal melt rates in ice sheet models, but the strategies employed – e.g., ocean input, parameterization, calibration technique, and corrections – have varied widely and are often ad hoc. Here, a methodology is proposed for the calculation of circum-Antarctic basal melt rates for floating ice, based on climate models, that is suitable for ISMIP6, the Ice Sheet Model Intercomparison Project for CMIP6 (6th Coupled Model Intercomparison Project). The past and future evolution of ocean temperature and salinity is der

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Komori, Yoshio. "Suitable Algorithm Associated with a Parameterization for the Three-Parameter Log-Normal Distribution." Communications in Statistics - Simulation and Computation 44, no. 1 (2014): 239–46. http://dx.doi.org/10.1080/03610918.2013.773343.

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Franchito, S. H., V. Brahmananda Rao, and R. Ramos da Silva. "A parameterization of radiative fluxes suitable for use in a statistical-dynamical model." Meteorology and Atmospheric Physics 69, no. 1-2 (1998): 23–38. http://dx.doi.org/10.1007/bf01025181.

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Gao, Jiajia, Yunyun Gao, Tao Ma, et al. "Bijective plannar parameterization based on a hyperelasticity analogy." Journal of Physics: Conference Series 2338, no. 1 (2022): 012004. http://dx.doi.org/10.1088/1742-6596/2338/1/012004.

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Abstract Isogeometric analysis (IGA) is a promising alternative for finite element analysis (FEA) with simplified design-through-analysis workflow. However, existing models in CAD software cannot be used directly for analysis. Parameterization of the input geometry is necessary to transform it into an analysis-suitable model. But it is non-trivial to produce smooth non-folding results. In this paper, we present a novel parameterization scheme based on the hyperelasticity analogy in solid mechanics. Compared with other state-of-the-art techniques, numerical examples prove that the proposed meth

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Kepert, Jeffrey D. "Choosing a Boundary Layer Parameterization for Tropical Cyclone Modeling." Monthly Weather Review 140, no. 5 (2012): 1427–45. http://dx.doi.org/10.1175/mwr-d-11-00217.1.

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Abstract The boundary layer in a tropical cyclone is in some respects unlike that elsewhere in the atmosphere. It is therefore necessary to evaluate boundary layer parameterizations for their suitability for use in tropical cyclone simulation. Previous work has shown substantial sensitivity to the choice of scheme and identified specific shortcomings in some schemes, but without recommending which schemes are most suitable. Here, several schemes, representative of those available in popular modeling systems, are reviewed and applied in a simplified modeling framework. Based on a comparison wit

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Yang, Junli, Jianglin Hu, Qiying Chen, and Weijun Quan. "Parameterization of downward long-wave radiation based on long-term baseline surface radiation measurements in China." Atmospheric Chemistry and Physics 23, no. 7 (2023): 4419–30. http://dx.doi.org/10.5194/acp-23-4419-2023.

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Abstract. Downward long-wave radiation (DLR) affects energy exchange between the land surface and the atmosphere and plays an important role in weather forecasting, agricultural activities, and the development of climate models. Because DLR is seldom observed at conventional radiation stations, numerous empirical parameterizations have been presented to estimate DLR from screen-level meteorological variables. The reliability and representativeness of parameterization depend on the coefficients regressed from the simultaneous observations of DLR and meteorological variables. Only a few previous

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Masrom, Suraya, Abdullah Sani Abd Rahman, Nasiroh Omar, and Suriani Rapa’ee. "PSO-GAScript: A Domain-specific Scripting Language for Meta-heuristics Algorithm." International Journal of Emerging Technology and Advanced Engineering 12, no. 7 (2022): 86–93. http://dx.doi.org/10.46338/ijetae0722_09.

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PSO-GAScript is a domain-specific scripting language designed to support easy and rapid implementation of meta-heuristics algorithms focused on Particle Swarm Optimization (PSO) and Genetic Algorithm (GA). The programming language has been developed to allow the hybridization of the two meta-heuristics algorithms. Hybridizations between PSO and GA are proven to be a comprehensive tool for solving different kinds of optimization problems. Moreover, the two algorithms have achieved a remarkable improvement from the adaptation of dynamic parameterization. Nevertheless, implementing the suitable h

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Essery, Richard. "Parameterization of fluxes over heterogeneous snow cover for GCMs." Annals of Glaciology 25 (1997): 38–41. http://dx.doi.org/10.3189/s0260305500013768.

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Fluxes of heat and moisture over heterogeneous snow cover are studied using a boundary-layer model. The performance of a “tile” model, suitable for calculating gridbox-average surface fluxes in a GCM, is assessed in comparison with the boundary-layer model. The impact of using a tile representation for heterogeneous snow cover in a single-column version of the Hadley Centre GCM is discussed.

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Essery, Richard. "Parameterization of fluxes over heterogeneous snow cover for GCMs." Annals of Glaciology 25 (1997): 38–41. http://dx.doi.org/10.1017/s0260305500013768.

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Fluxes of heat and moisture over heterogeneous snow cover are studied using a boundary-layer model. The performance of a “tile” model, suitable for calculating gridbox-average surface fluxes in a GCM, is assessed in comparison with the boundary-layer model. The impact of using a tile representation for heterogeneous snow cover in a single-column version of the Hadley Centre GCM is discussed.

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Xu, Gang, Bernard Mourrain, Régis Duvigneau, and André Galligo. "Constructing analysis-suitable parameterization of computational domain from CAD boundary by variational harmonic method." Journal of Computational Physics 252 (November 2013): 275–89. http://dx.doi.org/10.1016/j.jcp.2013.06.029.

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Romero, R., E. L. Iglesias, and L. Borrajo. "A Linear-RBF Multikernel SVM to Classify Big Text Corpora." BioMed Research International 2015 (2015): 1–14. http://dx.doi.org/10.1155/2015/878291.

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Support vector machine (SVM) is a powerful technique for classification. However, SVM is not suitable for classification of large datasets or text corpora, because the training complexity of SVMs is highly dependent on the input size. Recent developments in the literature on the SVM and other kernel methods emphasize the need to consider multiple kernels or parameterizations of kernels because they provide greater flexibility. This paper shows a multikernel SVM to manage highly dimensional data, providing an automatic parameterization with low computational cost and improving results against S

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Gálvez, Akemi, and Andrés Iglesias. "Firefly Algorithm for Polynomial Bézier Surface Parameterization." Journal of Applied Mathematics 2013 (2013): 1–9. http://dx.doi.org/10.1155/2013/237984.

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A classical issue in many applied fields is to obtain an approximating surface to a given set of data points. This problem arises in Computer-Aided Design and Manufacturing (CAD/CAM), virtual reality, medical imaging, computer graphics, computer animation, and many others. Very often, the preferred approximating surface is polynomial, usually described in parametric form. This leads to the problem of determining suitable parametric values for the data points, the so-called surface parameterization. In real-world settings, data points are generally irregularly sampled and subjected to measureme

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Chen, Yiyin, David Schlipf, and Po Wen Cheng. "Parameterization of wind evolution using lidar." Wind Energy Science 6, no. 1 (2021): 61–91. http://dx.doi.org/10.5194/wes-6-61-2021.

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Abstract. Wind evolution, i.e., the evolution of turbulence structures over time, has become an increasingly interesting topic in recent years, mainly due to the development of lidar-assisted wind turbine control, which requires accurate prediction of wind evolution to avoid unnecessary or even harmful control actions. Moreover, 4D stochastic wind field simulations can be made possible by integrating wind evolution into standard 3D simulations to provide a more realistic simulation environment for this control concept. Motivated by these factors, this research aims to investigate the potential

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Gholami, Yaser, Romain Brossier, Stéphane Operto, Vincent Prieux, Alessandra Ribodetti, and Jean Virieux. "Which parameterization is suitable for acoustic vertical transverse isotropic full waveform inversion? Part 2: Synthetic and real data case studies from Valhall." GEOPHYSICS 78, no. 2 (2013): R107—R124. http://dx.doi.org/10.1190/geo2012-0203.1.

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It is necessary to account for anisotropy in full waveform inversion (FWI) of wide-azimuth and wide-aperture seismic data in most geologic environments, for correct depth positioning of reflectors, and for reliable estimations of wave speeds as a function of the direction of propagation. In this framework, choosing a suitable anisotropic subsurface parameterization is a central issue in monoparameter and multiparameter FWI. This is because this parameterization defines the influence of each physical parameter class on the data as a function of the scattering angle, and hence the resolution of

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Guo, Xiaohao, Huijuan Lin, Jinyao Zhu, and Fenfen Wei. "Parameterization of Entrainment Rate for Cumulus Clouds with WRF Simulation." Atmosphere 14, no. 8 (2023): 1285. http://dx.doi.org/10.3390/atmos14081285.

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By using Weather Research and Forecasting Model (WRF) to simulate a southwest vortex precipitation process, this work studies the correlations between entrainment rate (λ) and dynamical parameters in the cloud and further fit λ. We relate the probability density distribution (PDF) to the parameterization of λ and find that the greater the probability, the larger the slope of the logarithmic liner function. The slope of the log-linear fitting function in fitting decreases for developing and enhancing cumulus clouds, which is related to the increase in updraft motion and the decrease in λ. Then,

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Ma, Li, Xiaoyu Li, Jing Liao, et al. "Neural Parameterization for Dynamic Human Head Editing." ACM Transactions on Graphics 41, no. 6 (2022): 1–15. http://dx.doi.org/10.1145/3550454.3555494.

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Implicit radiance functions emerged as a powerful scene representation for reconstructing and rendering photo-realistic views of a 3D scene. These representations, however, suffer from poor editability. On the other hand, explicit representations such as polygonal meshes allow easy editing but are not as suitable for reconstructing accurate details in dynamic human heads, such as fine facial features, hair, teeth, and eyes. In this work, we present Neural Parameterization (NeP), a hybrid representation that provides the advantages of both implicit and explicit methods. NeP is capable of photo-

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Denkena, Berend, Benjamin Bergmann, and H. Tobias Stiehl. "Anwenderfreundliche Prozessüberwachungssysteme/User-friendly Process Monitoring Systems." wt Werkstattstechnik online 110, no. 06 (2020): 435–39. http://dx.doi.org/10.37544/1436-4980-2020-06-75.

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Prozessüberwachungssysteme reduzieren Ausschuss und Stillstände. Allerdings schränken die prozessspezifische Parametrierung und das erforderliche Expertenwissen den wirtschaftlichen Einsatz der Systeme ein. Dieser Beitrag stellt nachvollziehbare und automatische Ansätze zur Auswahl geeigneter Signale, ihrer Verarbeitung und Bildung von Überwachungsgrenzen vor. Die Ergebnisse zeigen, dass die damit erreichte Überwachungsleistung vergleichbar mit einer Konfiguration durch geschultes Personal ist. &nbsp; Process monitoring systems reduce scrap, rework and downtime. However, process-specific p

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Haghighatnasab, Mahnoosh, Mohammad Mirzaei, Ali R. Mohebalhojeh, Christoph Zülicke, and Riwal Plougonven. "Application of the Compressible, Nonhydrostatic, Balanced Omega Equation in Estimating Diabatic Forcing for Parameterization of Inertia–Gravity Waves: Case Study of Moist Baroclinic Waves Using WRF." Journal of the Atmospheric Sciences 77, no. 1 (2019): 113–29. http://dx.doi.org/10.1175/jas-d-19-0039.1.

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Abstract The parameterization of inertia–gravity waves (IGWs) is of considerable importance in general circulation models. Among the challenging issues faced in studies concerned with parameterization of IGWs is the estimation of diabatic forcing in a way independent of the physics parameterization schemes, in particular, convection. The requirement is to estimate the diabatic heating associated with balanced motion. This can be done by comparing estimates of balanced vertical motion with and without diabatic effects. The omega equation provides the natural method of estimating balanced vertic

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BASU, BK. "A model of the downdraft from convective clouds." MAUSAM 37, no. 2 (2022): 265–68. http://dx.doi.org/10.54302/mausam.v37i2.2363.

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A model of the downdraft from convective clouds has been proposed assuming evaporative cooling as the mechanism responsible for the downward motion. Effects of friction and liquid water content have also been taken into account through suitable parameterization and velocity and temperature of the downdraft at any level have been computed as the mass-weighted mean of contributions from all upper levels.

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Asmus, Christina, Peter Hoffmann, Joni-Pekka Pietikäinen, Jürgen Böhner, and Diana Rechid. "Modeling and evaluating the effects of irrigation on land–atmosphere interaction in southwestern Europe with the regional climate model REMO2020–iMOVE using a newly developed parameterization." Geoscientific Model Development 16, no. 24 (2023): 7311–37. http://dx.doi.org/10.5194/gmd-16-7311-2023.

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Abstract. Irrigation is a crucial land use practice to adapt agriculture to unsuitable climate and soil conditions. Aiming to improve the growth of plants, irrigation modifies the soil condition, which causes atmospheric effects and feedbacks through land–atmosphere interaction. These effects can be quantified with numerical climate models, as has been done in various studies. It could be shown that irrigation effects, such as air temperature reduction and humidity increase, are well understood and should not be neglected on local and regional scales. However, there is a lack of studies includ

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