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Relevant bibliographies by topics / Regular grid weighted smoothing

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Journal articles

Academic literature on the topic 'Regular grid weighted smoothing'

Author: Grafiati

Published: 6 September 2023

Last updated: 7 September 2023

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Journal articles on the topic "Regular grid weighted smoothing"

1

Lauritzen, P. H., J. T. Bacmeister, P. F. Callaghan, and M. A. Taylor. "NCAR global model topography generation software for unstructured grids." Geoscientific Model Development Discussions 8, no. 6 (2015): 4623–51. http://dx.doi.org/10.5194/gmdd-8-4623-2015.

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Abstract. It is the purpose of this paper to document the NCAR global model topography generation software for unstructured grids. Given a model grid, the software computes the fraction of the grid box covered by land, the gridbox mean elevation, and associated sub-grid scale variances commonly used for gravity wave and turbulent mountain stress parameterizations. The software supports regular latitude-longitude grids as well as unstructured grids; e.g. icosahedral, Voronoi, cubed-sphere and variable resolution grids. As an example application and in the spirit of documenting model development

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2

Estuti, Abdallah A., and Elemér Litvai. "Post-extrapolation for specified time-step results without interpolation in MOC-based 1D hydraulic transients and gas release computations." Journal of Computational and Applied Mechanics 18, no. 1 (2023): 85–95. http://dx.doi.org/10.32973/jcam.2023.003.

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The goal of the paper is to present a supplementary step called postextrapolation. When applied to the well-known method of characteristics (MOC), this assures the continuous use of the specified time steps or regular numerical grid without interpolations during computations of transients in 1D 2-phase flow in straight elastic pipes. The new method consists of two steps, the first being a typical MOC step, where the C− and C+ characteristics start from regular nodal points, allowing for the point of intersection to differ from a regular one. After defining the variables there the method transf

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3

Böhm, Gualtiero, and Aldo L. Vesnaver. "In quest of the grid." GEOPHYSICS 64, no. 4 (1999): 1116–25. http://dx.doi.org/10.1190/1.1444618.

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The possible nonuniqueness and inaccuracy of tomographic inversion solutions may be the result of an inadequate discretization of the model space with respect to the acquisition geometry and the velocity field sought. Void pixels and linearly dependent equations are introduced if the grid shape does not match the spatial distribution of rays, originating the well‐known null space. This is a common drawback when using regular pixels. By definition, the null space does not depend on the picked traveltimes, and so we cannot eliminate it by minimising the traveltime residuals. We show that the inv

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4

Billings, Stephen D., Garry N. Newsam, and Rick K. Beatson. "Smooth fitting of geophysical data using continuous global surfaces." GEOPHYSICS 67, no. 6 (2002): 1823–34. http://dx.doi.org/10.1190/1.1527082.

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Continuous global surfaces (CGS) are a general framework for interpolation and smoothing of geophysical data. The first of two smoothing techniques we consider in this paper is generalized cross validation (GCV), which is a bootstrap measure of the predictive error of a surface that requires no prior knowledge of noise levels. The second smoothing technique is to define the CGS surface with fewer centers than data points, and compute the fit by least squares (LSQR); the noise levels are implicitly estimated by the number and placement of the centers relative to the data points. We show that bo

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Chevrot, Sébastien, and Maximilien Lehujeur. "Eikonal surface wave tomography with smoothing splines—application to Southern California." Geophysical Journal International 229, no. 3 (2022): 1927–41. http://dx.doi.org/10.1093/gji/ggac034.

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SUMMARY The densification of both permanent and temporary seismic networks has raised new interest in surface wave eikonal tomography from which phase velocity maps can be obtained without resolving a tomographic inverse problem. However, eikonal tomography requires to reconstruct traveltime surfaces from a discrete number of measurements obtained at the station locations, which can be challenging. We present a new method to reconstruct these traveltime surfaces with smoothing splines discretized in a regular 2-D Cartesian grid. We impose Neumann boundary conditions so that the phase gradients

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6

Tai, Chang-Kou. "On the Aliasing and Resolving Power of Sea Level Low-Pass Filtered onto a Regular Grid from Along-Track Altimeter Data of Uncoordinated Satellites: The Smoothing Strategy." Journal of Atmospheric and Oceanic Technology 25, no. 4 (2008): 617–24. http://dx.doi.org/10.1175/2007jtecho514.1.

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Abstract It is shown that smoothing (low-pass filtering) along-track altimeter data of uncoordinated satellites onto a regular space–time grid helps reduce the overall energy level of the aliasing from the aliasing levels of the individual satellites. The rough rule of thumb is that combining N satellites reduces the energy of the overall aliasing to 1/N of the average aliasing level of the N satellites. Assuming the aliasing levels of these satellites are roughly of the same order of magnitude (i.e., assuming that no special signal spectral content significantly favors one satellite over othe

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7

Zhang, Jie, Ping Duan, Jia Li, and Jiajia Liu. "Electromagnetic Radiation Space Field Construction Collected along the Road Based on Layered Radial Basis Function." Applied Sciences 13, no. 10 (2023): 6153. http://dx.doi.org/10.3390/app13106153.

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The electromagnetic radiation (EMR) data collected along a road have a largely empty region overall, while they have a linear distribution locally. Moreover, the traditional spatial interpolation method is not suitable for the electromagnetic radiation space field (EMR-SF) construction collected along the road. In this paper, a layered radial basis function (LRBF) method is proposed to generate the EMR-SF, which interpolates from outside to inside in a layered strategy. First, the regular grid points are constructed based on RBF within the range of sampling data and then are layered based on R

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Chen, Xuejun, Jing Zhao, Wenchao Hu, and Yufeng Yang. "Short-Term Wind Speed Forecasting Using Decomposition-Based Neural Networks Combining Abnormal Detection Method." Abstract and Applied Analysis 2014 (2014): 1–21. http://dx.doi.org/10.1155/2014/984268.

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As one of the most promising renewable resources in electricity generation, wind energy is acknowledged for its significant environmental contributions and economic competitiveness. Because wind fluctuates with strong variation, it is quite difficult to describe the characteristics of wind or to estimate the power output that will be injected into the grid. In particular, short-term wind speed forecasting, an essential support for the regulatory actions and short-term load dispatching planning during the operation of wind farms, is currently regarded as one of the most difficult problems to be

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Litvinchev, Igor, and Edith Lucero Ozuna Espinosa. "Integer Programming Formulations for Approximate Packing Circles in a Rectangular Container." Mathematical Problems in Engineering 2014 (2014): 1–6. http://dx.doi.org/10.1155/2014/317697.

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A problem of packing a limited number of unequal circles in a fixed size rectangular container is considered. The aim is to maximize the (weighted) number of circles placed into the container or minimize the waste. This problem has numerous applications in logistics, including production and packing for the textile, apparel, naval, automobile, aerospace, and food industries. Frequently the problem is formulated as a nonconvex continuous optimization problem which is solved by heuristic techniques combined with local search procedures. New formulations are proposed for approximate solution of p

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Tait, Andrew, and Ross Woods. "Spatial Interpolation of Daily Potential Evapotranspiration for New Zealand Using a Spline Model." Journal of Hydrometeorology 8, no. 3 (2007): 430–38. http://dx.doi.org/10.1175/jhm572.1.

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Abstract Potential evapotranspiration (PET) is an important component of water balance calculations, and these calculations form an equally important role in applications such as irrigation scheduling, pasture productivity forecasts, and groundwater recharge and streamflow modeling. This paper describes a method of interpolating daily PET data calculated at climate stations throughout New Zealand onto a regular 0.05° latitude–longitude grid using a thin-plate smoothing spline model. Maximum use is made of observational data by combining both Penman and Priestley–Taylor PET calculations and rai

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