Relevant bibliographies by topics / Multi-variate observations

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  1. Journal articles
  2. Dissertations / Theses
  3. Book chapters
  4. Conference papers

Academic literature on the topic 'Multi-variate observations'

Author: Grafiati
Published: 30 November 2024
Last updated: 19 July 2025

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Journal articles on the topic "Multi-variate observations"

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Alazman, Ibtehal, Badr Saad T. Alkahtani та Shahid Ahmad Wani. "Certain Properties of Δh Multi-Variate Hermite Polynomials". Symmetry 15, № 4 (2023): 839. http://dx.doi.org/10.3390/sym15040839.

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The research described in this paper follows the hypothesis that the monomiality principle leads to novel results that are consistent with past knowledge. Thus, in line with prior facts, our aim is to introduce the Δh multi-variate Hermite polynomials ΔhHm(q1,q2,⋯,qr;h). We obtain their recurrence relations by using difference operators. Furthermore, symmetric identities satisfied by these polynomials are established. The operational rules are helpful in demonstrating the novel characteristics of the polynomial families, and thus the operational principles satisfied by these polynomials are de
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FRITZNER, SINDRE M., RUNE G. GRAVERSEN, KEGUANG WANG, and KAI H. CHRISTENSEN. "Comparison between a multi-variate nudging method and the ensemble Kalman filter for sea-ice data assimilation." Journal of Glaciology 64, no. 245 (2018): 387–96. http://dx.doi.org/10.1017/jog.2018.33.

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ABSTRACTIncreasing ship traffic and human activity in the Arctic has led to a growing demand for accurate Arctic weather forecast. High-quality forecasts obtained by models are dependent on accurate initial states achieved by assimilation of observations. In this study, a multi-variate nudging (MVN) method for assimilation of sea-ice variables is introduced. The MVN assimilation method includes procedures for multivariate update of sea-ice volume and concentration, and for extrapolation of observational information spatially. The MVN assimilation scheme is compared with the Ensemble Kalman Fil
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Rannik, Ü., N. Altimir, I. Mammarella, et al. "Ozone deposition into a boreal forest over a decade of observations: evaluating deposition partitioning and driving variables." Atmospheric Chemistry and Physics Discussions 12, no. 5 (2012): 12715–58. http://dx.doi.org/10.5194/acpd-12-12715-2012.

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Abstract. This study scrutinizes a decade-long series of ozone deposition measurements in a boreal forest in search for the signature and relevance of the different deposition processes. Canopy-level ozone flux measurements were analysed for deposition characteristics and partitioning into stomatal and non-stomatal fractions, focusing on growing season day-time data. Ten years of measurements enabled the analysis of ozone deposition variation at different time- scales, including daily to inter-annual variation as well as the dependence on environmental variables and concentration of biogenic v
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Rannik, Ü., N. Altimir, I. Mammarella, et al. "Ozone deposition into a boreal forest over a decade of observations: evaluating deposition partitioning and driving variables." Atmospheric Chemistry and Physics 12, no. 24 (2012): 12165–82. http://dx.doi.org/10.5194/acp-12-12165-2012.

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Abstract. This study scrutinizes a decade-long series of ozone deposition measurements in a boreal forest in search for the signature and relevance of the different deposition processes. The canopy-level ozone flux measurements were analysed for deposition characteristics and partitioning into stomatal and non-stomatal fractions, with the main focus on growing season day-time data. Ten years of measurements enabled the analysis of ozone deposition variation at different time-scales, including daily to inter-annual variation as well as the dependence on environmental variables and concentration
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Wani, Shahid Ahmad, Ibtehal Alazman та Badr Saad T. Alkahtani. "Certain Properties and Applications of Convoluted Δh Multi-Variate Hermite and Appell Sequences". Symmetry 15, № 4 (2023): 828. http://dx.doi.org/10.3390/sym15040828.

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This study follows the line of research that by employing the monomiality principle, new outcomes are produced. Thus, in line with prior facts, our aim is to introduce the Δh multi-variate Hermite Appell polynomials ΔhHAm[r](q1,q2,⋯,qr;h). Further, we obtain their recurrence sort of relations by using difference operators. Furthermore, symmetric identities satisfied by these polynomials are established. The operational rules are helpful in demonstrating the novel characteristics of the polynomial families and thus operational principle satisfied by these polynomials is derived and will prove b
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Brassington, Gary B., and Prasanth Divakaran. "The theoretical impact of remotely sensed sea surface salinity observations in a multi-variate assimilation system." Ocean Modelling 27, no. 1-2 (2009): 70–81. http://dx.doi.org/10.1016/j.ocemod.2008.12.005.

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Ciani, Daniele, Sarah Asdar, and Bruno Buongiorno Nardelli. "Improved Surface Currents from Altimeter-Derived and Sea Surface Temperature Observations: Application to the North Atlantic Ocean." Remote Sensing 16, no. 4 (2024): 640. http://dx.doi.org/10.3390/rs16040640.

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We present a study on the ocean surface currents reconstruction by merging Level-4 (L4, gap-free) altimeter-derived geostrophic currents and satellite sea surface temperature. Building upon past studies on the multi-variate reconstruction of geostrophic currents from satellite observations, we regionalized and optimized an algorithm to improve the altimeter-derived surface circulation estimates in the North Atlantic Ocean. A ten-year-long time series (2010–2019) is presented and validated by means of in situ observations. The newly optimized algorithm allowed us to improve the currents estimat
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Mereu, Luigi, Simona Scollo, Antonella Boselli, et al. "Dual-Wavelength Polarimetric Lidar Observations of the Volcanic Ash Cloud Produced during the 2016 Etna Eruption." Remote Sensing 13, no. 9 (2021): 1728. http://dx.doi.org/10.3390/rs13091728.

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Lidar observations are very useful to analyse dispersed volcanic clouds in the troposphere mainly because of their high range resolution, providing morphological as well as microphysical (size and mass) properties. In this work, we analyse the volcanic cloud of 18 May 2016 at Mt. Etna, in Italy, retrieved by polarimetric dual-wavelength Lidar measurements. We use the AMPLE (Aerosol Multi-Wavelength Polarization Lidar Experiment) system, located in Catania, about 25 km from the Etna summit craters, pointing at a thin volcanic cloud layer, clearly visible and dispersed from the summit craters at
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Grinsted, A. "An estimate of global glacier volume." Cryosphere Discussions 6, no. 5 (2012): 3647–66. http://dx.doi.org/10.5194/tcd-6-3647-2012.

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Abstract. I asses the feasibility of multi-variate scaling relationships to estimate glacier volume from glacier inventory data. I calibrate scaling laws against volume observations of optimized towards the purpose of estimating the total global ice volume. This is applied individually to each record in the Randolph Glacier Inventory which is the first globally complete inventory of glaciers and ice caps. I estimate that the total volume of all glaciers in the world is 0.35 ± 0.07 m sea level equivalent. This is substantially less than a recent state-of-the-art estimate. Area volume scaling bi
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Pujol, Léo, Pierre-André Garambois, and Jérôme Monnier. "Multi-dimensional hydrological–hydraulic model with variational data assimilation for river networks and floodplains." Geoscientific Model Development 15, no. 15 (2022): 6085–113. http://dx.doi.org/10.5194/gmd-15-6085-2022.

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Abstract. This contribution presents a novel multi-dimensional (multi-D) hydraulic–hydrological numerical model with variational data assimilation capabilities. It allows multi-scale modeling over large domains, combining in situ observations with high-resolution hydrometeorology and satellite data. The multi-D hydraulic model relies on the 2D shallow-water equations solved with a 1D–2D adapted single finite-volume solver. One-dimensional-like reaches are built through meshing methods that cause the 2D solver to degenerate into 1D. They are connected to 2D portions that act as local zooms, for
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Dissertations / Theses on the topic "Multi-variate observations"

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Archambault, Théo. "Deep learning for sea surface height reconstruction from multi-variate satellite observations." Electronic Thesis or Diss., Sorbonne université, 2024. http://www.theses.fr/2024SORUS253.

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Cette thèse de doctorat porte sur la reconstruction d'images satellites de la surface de l'océan à partir de mesures éparses et bruitées. Son objectif est l'estimation de la hauteur de la mer (SSH), une variable importante pour approximer les courants de surface. Elle est actuellement mesurée par des altimètres pointant au nadir, laissant de nombreuses zones non observées. Les cartes complètes de SSH sont produites en utilisant des interpolations optimales linéaires présentant une faible résolution effective.D'autre part, la température de surface de la mer (SST) est observée sur des zones plu
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Book chapters on the topic "Multi-variate observations"

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Musolino, Giuseppe, Antonio Cartisano, and Giuseppe Fortugno. "Methodologies for Sustainable Development of TEN-T/RFC Corridors and Core Ports: Estimation of Time-Series Economic Impact." In Computational Science and Its Applications – ICCSA 2023 Workshops. Springer Nature Switzerland, 2023. http://dx.doi.org/10.1007/978-3-031-37123-3_38.

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AbstractThe container revolution in the last decades of the 20th century determined the arise of container ports. They further evolved in the so-called third-generation ports, becoming generators of value added due to the manipulation of goods in transit. The increase of value added in third-generation ports is amplified in core ports connected to TEN-T/RFC corridors, where Special Economic Zones (SEZs) and the three pillars of smartness (ICT, Transport and Energy) are present. The paper deals with time-series models for the estimation of economic impact of a SEZ in an underdeveloped region of EU. The test case is the Calabria region (Italy). SEZ in Calabria has its fulcrum in the industrial area close to the transhipment hub port of Gioia Tauro. The economic impacts of the SEZ were quantified through two variables: exports and employment of industrial firms settled in Calabria. The comparison of two scenarios (Do-Nothing scenario and SEZ) shows relevant positive impacts in the SEZ one. Future developments concern the calibration and validation of multi-variate time-series models from observations provided by worldwide SEZs.
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Conference papers on the topic "Multi-variate observations"

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Mackay, E. B. L., C. J. R. Murphy-Barltrop, and P. Jonathan. "The SPAR Model: A New Paradigm for Multivariate Extremes. Application to Joint Distributions of Metocean Variables." In ASME 2024 43rd International Conference on Ocean, Offshore and Arctic Engineering. American Society of Mechanical Engineers, 2024. http://dx.doi.org/10.1115/omae2024-130932.

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Abstract This paper presents the application of a new multivariate extreme value model for the estimation of metocean variables. The model requires fewer assumptions about the forms of the margins and dependence structure compared to existing approaches, and provides a flexible and rigorous framework for modelling multi-variate extremes. The method involves a transformation of variables to polar coordinates. The tail of the radial variable is then modelled using the generalised Pareto distribution, with parameters conditional on angle, providing a natural extension of uni-variate theory to mul
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Chun, Sejong. "Asymptotic Expansion Technique for Evaluating the Uncertainty of Moist-Air Density Formula." In ASME-JSME-KSME 2019 8th Joint Fluids Engineering Conference. American Society of Mechanical Engineers, 2019. http://dx.doi.org/10.1115/ajkfluids2019-4635.

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Abstract Asymptotic expansion technique can evaluate the measurement uncertainty by classifying an output quantity into a measured value and its correction values. The asymptotic expansion technique combines simultaneous observations of input quantities into the output measured value. The asymptotic expansion technique is useful in evaluating a multi-variate output quantity such as the moist-air density formula (CIPM-2007), in which covariances among input quantities could complicate the evaluation of measurement uncertainty. This study demonstrates that both the Taylor’s series expansion and
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Farahat, Waleed A., and H. Harry Asada. "Identification of Phenotypic State Transition Probabilities in Living Cells." In ASME 2009 Dynamic Systems and Control Conference. ASMEDC, 2009. http://dx.doi.org/10.1115/dscc2009-2705.

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Living cells stochastically switch their phenotypic states in response to environmental cues to maintain persistence and viability. Estimating the state transition probabilities from biological observations of cell populations gives valuable insight to the underlying processes, and gives insights as to how the transition statistics are influenced by external factors. In this work, we present two Bayesian estimation approaches. The first is applicable when individual cell state trajectories are observed. The second approach is applicable when only aggregate population statistics are available.
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Goodwin, Nigel H. "Bridging the Gap Between Material Balance and Reservoir Simulation for History Matching and Probabilistic Forecasting Using Machine Learning." In SPE Reservoir Simulation Conference. SPE, 2021. http://dx.doi.org/10.2118/203941-ms.

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Abstract Objectives/Scope Methods for efficient probabilistic history matching and forecasting have been available for complex reservoir studies for nearly 20 years. These require a surprisingly small number of reservoir simulation runs (typically less than 200). Nowadays, the bottleneck for reservoir decision support is building and maintaining a reservoir simulation model. This paper describes an approach which does not require a reservoir simulation model, is data driven, and includes a physics model based on material balance. It can be useful where a full simulation model is not economical
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Suboyin, Abhijith, Morgan Eldred, Jimmy Thatcher, Abdul Rehman, Ivan Gee, and Hassaan Anjum. "Environomics Framework for Sustainable Business Practices: Industrial Case Studies on True Impact Reduction and Process Optimization Through AI." In SPE Symposium: Leveraging Artificial Intelligence to Shape the Future of the Energy Industry. SPE, 2023. http://dx.doi.org/10.2118/214459-ms.

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Abstract Artificial Intelligence (AI) has significant potential to optimize practices, processes, and energy consumption along with maximizing yield, quality, and uptime. This has substantial impact on putting organizations on the path to net-zero, as such optimizations can reduce greenhouse gas emissions by 20% with minimal capital investments. This comprehensive study presents proven industrial case studies that delivered economically strong strategies coupled with sustainability practice and providing strategic insights to identify, manage and/or attenuate the associated impacts. Environomi
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Alrumaih, Abdulrahman W., Kingsley Kanu, and Zahra Sakhin. "Identifying Optimal Operating Envelope in Horizontal Wells Producing from Dual Permeability Media." In International Petroleum Technology Conference. IPTC, 2023. http://dx.doi.org/10.2523/iptc-22777-ea.

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Abstract In this paper, we present an integrated workflow utilizing a numerical model to identify optimal operating envelope for horizontal wells producing from dual permeability media. A synthetic dual permeability numerical model comprised of critical components namely: fracture and matrix permeabilities, matrix-fracture conductivity (shape factor), and fracture distribution based on Discrete Fracture Network (DFN) scheme was built. In addition, two horizontal producers completed with Inflow-Control – Devices (ICDs) and as open-hole respectively, are also connected to the model. Rigorous sen
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