Log in

Relevant bibliographies by topics / Ensemble source width / Journal articles

To see the other types of publications on this topic, follow the link: Ensemble source width.

Journal articles on the topic 'Ensemble source width'

Author: Grafiati

Published: 6 September 2023

Create a spot-on reference in APA, MLA, Chicago, Harvard, and other styles

Select a source type:

Consult the top 50 journal articles for your research on the topic 'Ensemble source width.'

Next to every source in the list of references, there is an 'Add to bibliography' button. Press on it, and we will generate automatically the bibliographic reference to the chosen work in the citation style you need: APA, MLA, Harvard, Chicago, Vancouver, etc.

You can also download the full text of the academic publication as pdf and read online its abstract whenever available in the metadata.

Browse journal articles on a wide variety of disciplines and organise your bibliography correctly.

1

Imamura, Hidetaka, and Sungyoung Kim. "Efficacy of a new spatial ear training program for “Ensemble width” and “Individual source width”." Journal of the Acoustical Society of America 140, no. 4 (2016): 2987. http://dx.doi.org/10.1121/1.4969251.

Full text

APA, Harvard, Vancouver, ISO, and other styles

2

Allen, Douglas R., Karl W. Hoppel, Gerald E. Nedoluha, Stephen D. Eckermann, and Cory A. Barton. "Ensemble-Based Gravity Wave Parameter Retrieval for Numerical Weather Prediction." Journal of the Atmospheric Sciences 79, no. 3 (2022): 621–48. http://dx.doi.org/10.1175/jas-d-21-0191.1.

Full text

Abstract:

Abstract Gravity wave (GW) momentum and energy deposition are large components of the momentum and heat budgets of the stratosphere and mesosphere, affecting predictability across scales. Since weather and climate models cannot resolve the entire GW spectrum, GW parameterizations are required. Tuning these parameterizations is time-consuming and must be repeated whenever model configurations are changed. We introduce a self-tuning approach, called GW parameter retrieval (GWPR), applied when the model is coupled to a data assimilation (DA) system. A key component of GWPR is a linearized model o

APA, Harvard, Vancouver, ISO, and other styles

3

Connelly, Ryan, and Brian A. Colle. "Validation of Snow Multibands in the Comma Head of an Extratropical Cyclone Using a 40-Member Ensemble." Weather and Forecasting 34, no. 5 (2019): 1343–63. http://dx.doi.org/10.1175/waf-d-18-0182.1.

Full text

Abstract:

Abstract This paper investigates the ability of the Weather Research and Forecasting (WRF) Model in simulating multiple small-scale precipitation bands (multibands) within the extratropical cyclone comma head using four winter storm cases from 2014 to 2017. Using the model output, some physical processes are explored to investigate band prediction. A 40-member WRF ensemble was constructed down to 2-km grid spacing over the Northeast United States using different physics, stochastic physics perturbations, different initial/boundary conditions from the first five perturbed members of the Global

APA, Harvard, Vancouver, ISO, and other styles

4

Jongaramrungruang, Siraput, Christian Frankenberg, Georgios Matheou, et al. "Towards accurate methane point-source quantification from high-resolution 2-D plume imagery." Atmospheric Measurement Techniques 12, no. 12 (2019): 6667–81. http://dx.doi.org/10.5194/amt-12-6667-2019.

Full text

Abstract:

Abstract. Methane is the second most important anthropogenic greenhouse gas in the Earth climate system but emission quantification of localized point sources has been proven challenging, resulting in ambiguous regional budgets and source category distributions. Although recent advancements in airborne remote sensing instruments enable retrievals of methane enhancements at an unprecedented resolution of 1–5 m at regional scales, emission quantification of individual sources can be limited by the lack of knowledge of local wind speed. Here, we developed an algorithm that can estimate flux rates

APA, Harvard, Vancouver, ISO, and other styles

5

Kang, Sarah M., Clara Deser, and Lorenzo M. Polvani. "Uncertainty in Climate Change Projections of the Hadley Circulation: The Role of Internal Variability." Journal of Climate 26, no. 19 (2013): 7541–54. http://dx.doi.org/10.1175/jcli-d-12-00788.1.

Full text

Abstract:

Abstract The uncertainty arising from internal climate variability in climate change projections of the Hadley circulation (HC) is presently unknown. In this paper it is quantified by analyzing a 40-member ensemble of integrations of the Community Climate System Model, version 3 (CCSM3), under the Special Report on Emissions Scenarios (SRES) A1B scenario over the period 2000–60. An additional set of 100-yr-long time-slice integrations with the atmospheric component of the same model [Community Atmosphere Model, version 3.0 (CAM3)] is also analyzed. Focusing on simple metrics of the HC—its stre

APA, Harvard, Vancouver, ISO, and other styles

6

UNNIKRISHNAN, C. S., and C. P. SAFVAN. "EXPERIMENTAL TEST OF A QUANTUM-LIKE THEORY: MOTION OF ELECTRONS IN A UNIFORM MAGNETIC FIELD, IN A VARIABLE POTENTIAL WELL." Modern Physics Letters A 14, no. 07 (1999): 479–90. http://dx.doi.org/10.1142/s0217732399000535.

Full text

Abstract:

We describe an experiment to test a quantum-like theory which predicts quantum-like behavior for an ensemble of electrons in a classical configuration with static magnetic and electric fields. Some of the earlier experiments had supporting evidence for anomalous, quantum-like effects in such a situation showing systematic modulations of electron current when a retarding potential is varied, even though the quantum wavelength of the electrons in such a configuration was less than a billionth of the spatial width of the potential well. Our experiment conclusively rules out any nonclassical, quan

APA, Harvard, Vancouver, ISO, and other styles

7

Trier, Stanley B., Glen S. Romine, David A. Ahijevych, et al. "Mesoscale Thermodynamic Influences on Convection Initiation near a Surface Dryline in a Convection-Permitting Ensemble." Monthly Weather Review 143, no. 9 (2015): 3726–53. http://dx.doi.org/10.1175/mwr-d-15-0133.1.

Full text

Abstract:

Abstract In this study, the authors examine initiation of severe convection along a daytime surface dryline in a 10-member ensemble of convection-permitting simulations. Results indicate that the minimum buoyancy Bmin of PBL air parcels must be small (Bmin &gt; −0.5°C) for successful deep convection initiation (CI) to occur along the dryline. Comparing different ensemble members reveals that CAPE magnitudes (allowing for entrainment) and the width of the zone of negligible Bmin extending eastward from the dryline act together to influence CI. Since PBL updrafts that initiate along the dryl

APA, Harvard, Vancouver, ISO, and other styles

8

Rieznik, Olena. "Children’s orchestral set “Harmonika” by H. T. Statyvkin as a source of developing initial skills of ensemble and orchestral music playing for preschool children." Problems of Interaction Between Arts, Pedagogy and the Theory and Practice of Education 64, no. 64 (2022): 75–91. http://dx.doi.org/10.34064/khnum1-64.05.

Full text

Abstract:

The figure of Hennadii Tymofiyovych Statyvkin as a reformer of the methodology of teaching the button accordion has always interested researchers for its versatility: ideas of restructuring the educational process of primary music education; experimental introduction of new methodological principles in the educational process; introduction of a seven-year period of training for button accordionists in children’s music schools; production of special training children’s selectable and ready-made button accordions; development and publication of a new curriculum and teaching aids. The above-menti

APA, Harvard, Vancouver, ISO, and other styles

9

Timme, Nicholas M., David Linsenbardt, and Christopher C. Lapish. "A Method to Present and Analyze Ensembles of Information Sources." Entropy 22, no. 5 (2020): 580. http://dx.doi.org/10.3390/e22050580.

Full text

Abstract:

Information theory is a powerful tool for analyzing complex systems. In many areas of neuroscience, it is now possible to gather data from large ensembles of neural variables (e.g., data from many neurons, genes, or voxels). The individual variables can be analyzed with information theory to provide estimates of information shared between variables (forming a network between variables), or between neural variables and other variables (e.g., behavior or sensory stimuli). However, it can be difficult to (1) evaluate if the ensemble is significantly different from what would be expected in a pure

APA, Harvard, Vancouver, ISO, and other styles

10

Bécar, Ramón, P. A. González, Joel Saavedra, Yerko Vásquez, and Bin Wang. "Phase transitions in four-dimensional AdS black holes with a nonlinear electrodynamics source." Communications in Theoretical Physics 73, no. 12 (2021): 125402. http://dx.doi.org/10.1088/1572-9494/ac3073.

Full text

Abstract:

Abstract In this work we consider black hole solutions to Einstein’s theory coupled to a nonlinear power-law electromagnetic field with a fixed exponent value. We study the extended phase space thermodynamics in canonical and grand canonical ensembles, where the varying cosmological constant plays the role of an effective thermodynamic pressure. We examine thermodynamical phase transitions in such black holes and find that both first- and second-order phase transitions can occur in the canonical ensemble while, for the grand canonical ensemble, Hawking–Page and second-order phase transitions a

APA, Harvard, Vancouver, ISO, and other styles

11

Rubin, J. I., J. S. Reid, J. A. Hansen, et al. "Development of the Ensemble Navy Aerosol Analysis Prediction System (ENAAPS) and its application of the Data Assimilation Research Testbed (DART) in support of aerosol forecasting." Atmospheric Chemistry and Physics Discussions 15, no. 20 (2015): 28069–132. http://dx.doi.org/10.5194/acpd-15-28069-2015.

Full text

Abstract:

Abstract. An ensemble-based forecast and data assimilation system has been developed for use in Navy aerosol forecasting. The system makes use of an ensemble of the Navy Aerosol Analysis Prediction System (ENAAPS) at 1° × 1°, combined with an Ensemble Adjustment Kalman Filter from NCAR's Data Assimilation Research Testbed (DART). The base ENAAPS-DART system discussed in this work utilizes the Navy Operational Global Analysis Prediction System (NOGAPS) meteorological ensemble to drive offline NAAPS simulations coupled with the DART Ensemble Kalman Filter architecture to assimilate bias-correcte

APA, Harvard, Vancouver, ISO, and other styles

12

Rubin, Juli I., Jeffrey S. Reid, James A. Hansen, et al. "Development of the Ensemble Navy Aerosol Analysis Prediction System (ENAAPS) and its application of the Data Assimilation Research Testbed (DART) in support of aerosol forecasting." Atmospheric Chemistry and Physics 16, no. 6 (2016): 3927–51. http://dx.doi.org/10.5194/acp-16-3927-2016.

Full text

Abstract:

Abstract. An ensemble-based forecast and data assimilation system has been developed for use in Navy aerosol forecasting. The system makes use of an ensemble of the Navy Aerosol Analysis Prediction System (ENAAPS) at 1 × 1°, combined with an ensemble adjustment Kalman filter from NCAR's Data Assimilation Research Testbed (DART). The base ENAAPS-DART system discussed in this work utilizes the Navy Operational Global Analysis Prediction System (NOGAPS) meteorological ensemble to drive offline NAAPS simulations coupled with the DART ensemble Kalman filter architecture to assimilate bias-corrected

APA, Harvard, Vancouver, ISO, and other styles

13

Lee, Okjeong, Jeonghyeon Choi, Jeongeun Won, and Sangdan Kim. "Uncertainty in nonstationary frequency analysis of South Korea's daily rainfall peak over threshold excesses associated with covariates." Hydrology and Earth System Sciences 24, no. 11 (2020): 5077–93. http://dx.doi.org/10.5194/hess-24-5077-2020.

Full text

Abstract:

Abstract. Several methods have been proposed to analyze the frequency of nonstationary anomalies. The applicability of the nonstationary frequency analysis has been mainly evaluated based on the agreement between the time series data and the applied probability distribution. However, since the uncertainty in the parameter estimate of the probability distribution is the main source of uncertainty in frequency analysis, the uncertainty in the correspondence between samples and probability distribution is inevitably large. In this study, an extreme rainfall frequency analysis is performed that fi

APA, Harvard, Vancouver, ISO, and other styles

14

Sekiyama, Tsuyoshi Thomas, Mizuo Kajino, and Masaru Kunii. "Ensemble Dispersion Simulation of a Point-Source Radioactive Aerosol Using Perturbed Meteorological Fields over Eastern Japan." Atmosphere 12, no. 6 (2021): 662. http://dx.doi.org/10.3390/atmos12060662.

Full text

Abstract:

We conducted single-model initial-perturbed ensemble simulations to quantify uncertainty in aerosol dispersion modeling, focusing on a point-source radioactive aerosol emitted from the Fukushima Daiichi Nuclear Power Plant (FDNPP) in March 2011. The ensembles of the meteorological variables were prepared using a data assimilation system that consisted of a non-hydrostatic weather-forecast model with a 3-km horizontal resolution and a four-dimensional local ensemble transform Kalman filter (4D-LETKF) with 20 ensemble members. The emission of radioactive aerosol was not perturbed. The weather an

APA, Harvard, Vancouver, ISO, and other styles

15

Rezazadeh, Arezou, Josep Font-Segura, Alfonso Martinez, and Albert Guillén i Fàbregas. "Multi-Class Cost-Constrained Random Coding for Correlated Sources over the Multiple-Access Channel." Entropy 23, no. 5 (2021): 569. http://dx.doi.org/10.3390/e23050569.

Full text

Abstract:

This paper studies a generalized version of multi-class cost-constrained random-coding ensemble with multiple auxiliary costs for the transmission of N correlated sources over an N-user multiple-access channel. For each user, the set of messages is partitioned into classes and codebooks are generated according to a distribution depending on the class index of the source message and under the constraint that the codewords satisfy a set of cost functions. Proper choices of the cost functions recover different coding schemes including message-dependent and message-independent versions of independ

APA, Harvard, Vancouver, ISO, and other styles

16

Malhotra, Ruchika, and Kusum Lata. "Using Ensembles for Class-Imbalance Problem to Predict Maintainability of Open Source Software." International Journal of Reliability, Quality and Safety Engineering 27, no. 05 (2020): 2040011. http://dx.doi.org/10.1142/s0218539320400112.

Full text

Abstract:

To facilitate software maintenance and save the maintenance cost, numerous machine learning (ML) techniques have been studied to predict the maintainability of software modules or classes. An abundant amount of effort has been put by the research community to develop software maintainability prediction (SMP) models by relating software metrics to the maintainability of modules or classes. When software classes demanding the high maintainability effort (HME) are less as compared to the low maintainability effort (LME) classes, the situation leads to imbalanced datasets for training the SMP mode

APA, Harvard, Vancouver, ISO, and other styles

17

Adejo, Olugbenga Wilson, and Thomas Connolly. "Predicting student academic performance using multi-model heterogeneous ensemble approach." Journal of Applied Research in Higher Education 10, no. 1 (2018): 61–75. http://dx.doi.org/10.1108/jarhe-09-2017-0113.

Full text

Abstract:

Purpose The purpose of this paper is to empirically investigate and compare the use of multiple data sources, different classifiers and ensembles of classifiers technique in predicting student academic performance. The study will compare the performance and efficiency of ensemble techniques that make use of different combination of data sources with that of base classifiers with single data source. Design/methodology/approach Using a quantitative research methodology, data samples of 141 learners enrolled in the University of the West of Scotland were extracted from the institution’s databases

APA, Harvard, Vancouver, ISO, and other styles

18

Aleshin, A. N., and P. B. Straumal. "Diffusion in an Ensemble of Intersecting Grain Boundaries." Defect and Diffusion Forum 354 (June 2014): 121–27. http://dx.doi.org/10.4028/www.scientific.net/ddf.354.121.

Full text

Abstract:

Grain boundary (GB) diffusion in an ensemble of three grain boundaries intersecting in the point of GB triple junction is described on the basis of quasi-steady Fisher’s model. Two versions of the configuration of the ensemble are considered, namely, with different number of GBs adjacent to the surface covered with a diffuser source and with different angle between GB and surface. Analytical expressions for the distribution of diffuser concentration along each GB of an ensemble are derived supposing that the GB diffusion fluxes are equal in the GB triple junction. The expressions for the diffu

APA, Harvard, Vancouver, ISO, and other styles

19

Day, Cherie K., Adam T. Deller, Ryan M. Shannon, et al. "High time resolution and polarization properties of ASKAP-localized fast radio bursts." Monthly Notices of the Royal Astronomical Society 497, no. 3 (2020): 3335–50. http://dx.doi.org/10.1093/mnras/staa2138.

Full text

Abstract:

ABSTRACT Combining high time and frequency resolution full-polarization spectra of fast radio bursts (FRBs) with knowledge of their host galaxy properties provides an opportunity to study both the emission mechanism generating them and the impact of their propagation through their local environment, host galaxy, and the intergalactic medium. The Australian Square Kilometre Array Pathfinder (ASKAP) telescope has provided the first ensemble of bursts with this information. In this paper, we present the high time and spectral resolution, full polarization observations of five localized FRBs to co

APA, Harvard, Vancouver, ISO, and other styles

20

Lee, Jared A., Walter C. Kolczynski, Tyler C. McCandless, and Sue Ellen Haupt. "An Objective Methodology for Configuring and Down-Selecting an NWP Ensemble for Low-Level Wind Prediction." Monthly Weather Review 140, no. 7 (2012): 2270–86. http://dx.doi.org/10.1175/mwr-d-11-00065.1.

Full text

Abstract:

Abstract Ensembles of numerical weather prediction (NWP) model predictions are used for a variety of forecasting applications. Such ensembles quantify the uncertainty of the prediction because the spread in the ensemble predictions is correlated to forecast uncertainty. For atmospheric transport and dispersion and wind energy applications in particular, the NWP ensemble spread should accurately represent uncertainty in the low-level mean wind. To adequately sample the probability density function (PDF) of the forecast atmospheric state, it is necessary to account for several sources of uncerta

APA, Harvard, Vancouver, ISO, and other styles

21

Peltier, Leonard J., Sue Ellen Haupt, John C. Wyngaard, et al. "Parameterizing Mesoscale Wind Uncertainty for Dispersion Modeling." Journal of Applied Meteorology and Climatology 49, no. 8 (2010): 1604–14. http://dx.doi.org/10.1175/2010jamc2396.1.

Full text

Abstract:

Abstract A parameterization of numerical weather prediction uncertainty is presented for use by atmospheric transport and dispersion models. The theoretical development applies Taylor dispersion concepts to diagnose dispersion metrics from numerical wind field ensembles, where the ensemble variability approximates the wind field uncertainty. This analysis identifies persistent wind direction differences in the wind field ensemble as a leading source of enhanced “virtual” dispersion, and thus enhanced uncertainty for the ensemble-mean contaminant plume. This dispersion is characterized by the L

APA, Harvard, Vancouver, ISO, and other styles

22

Korsakissok, I., R. Périllat, S. Andronopoulos, et al. "Uncertainty propagation in atmospheric dispersion models for radiological emergencies in the pre- and early release phase: summary of case studies." Radioprotection 55 (May 2020): S57—S68. http://dx.doi.org/10.1051/radiopro/2020013.

Full text

Abstract:

In the framework of the European project CONFIDENCE, Work Package 1 (WP1) focused on the uncertainties in the pre- and early phase of a radiological emergency, when environmental observations are not available and the assessment of the environmental and health impact of the accident largely relies on atmospheric dispersion modelling. The latter is subject to large uncertainties coming from, in particular, meteorological and release data. In WP1, several case studies were identified, including hypothetical accident scenarios in Europe and the Fukushima accident, for which participants propagate

APA, Harvard, Vancouver, ISO, and other styles

23

Velázquez, J. A., F. Anctil, M. H. Ramos, and C. Perrin. "Can a multi-model approach improve hydrological ensemble forecasting? A study on 29 French catchments using 16 hydrological model structures." Advances in Geosciences 29 (February 28, 2011): 33–42. http://dx.doi.org/10.5194/adgeo-29-33-2011.

Full text

Abstract:

Abstract. An operational hydrological ensemble forecasting system based on a meteorological ensemble prediction system (M-EPS) coupled with a hydrological model searches to capture the uncertainties associated with the meteorological prediction to better predict river flows. However, the structure of the hydrological model is also an important source of uncertainty that has to be taken into account. This study aims at evaluating and comparing the performance and the reliability of different types of hydrological ensemble prediction systems (H-EPS), when ensemble weather forecasts are combined

APA, Harvard, Vancouver, ISO, and other styles

24

Ge, Shengguo, Siti Nurulain Mohd Rum, Hamidah Ibrahim, Erzam Marsilah, and Thinagaran Perumal. "A Source Number Enumeration Method at Low SNR Based on Ensemble Learning." International Journal of Emerging Technology and Advanced Engineering 13, no. 3 (2023): 81–90. http://dx.doi.org/10.46338/ijetae0323_08.

Full text

Abstract:

Source number estimation is one of the important research directions in array signal processing. To solve the difficulty of estimating the number of signal sources under a low signal-to-noise ratio (SNR), a source number enumeration method based on ensemble learning is proposed. This method first preprocesses the signal data. The specific process is to decompose the original signal into several intrinsic mode functions (IMF) by using Complementary Ensemble Empirical Mode Decomposition (CEEMD), and then construct a covariance matrix and perform eigenvalue decomposition to obtain samples. Finall

APA, Harvard, Vancouver, ISO, and other styles

25

Clark, Adam J., William A. Gallus, and Tsing-Chang Chen. "Contributions of Mixed Physics versus Perturbed Initial/Lateral Boundary Conditions to Ensemble-Based Precipitation Forecast Skill." Monthly Weather Review 136, no. 6 (2008): 2140–56. http://dx.doi.org/10.1175/2007mwr2029.1.

Full text

Abstract:

Abstract An experiment is described that is designed to examine the contributions of model, initial condition (IC), and lateral boundary condition (LBC) errors to the spread and skill of precipitation forecasts from two regional eight-member 15-km grid-spacing Weather Research and Forecasting (WRF) ensembles covering a 1575 km × 1800 km domain. It is widely recognized that a skillful ensemble [i.e., an ensemble with a probability distribution function (PDF) that generates forecast probabilities with high resolution and reliability] should account for both error sources. Previous work suggests

APA, Harvard, Vancouver, ISO, and other styles

26

Giles, Daniel, Brian McConnell, and Frédéric Dias. "Modelling with Volna-OP2—Towards Tsunami Threat Reduction for the Irish Coastline." Geosciences 10, no. 6 (2020): 226. http://dx.doi.org/10.3390/geosciences10060226.

Full text

Abstract:

Tsunamis are infrequent events that have the potential to be extremely destructive. The last major tsunami to effect the Irish coastline was the Lisbon 1755 event. That event acts as a candidate worst case scenario for hazard assessment and the impacts on the Irish Coastline are presented here. As there is no general consensus on the 1755 earthquake source, multiple sources highlighted in the literature are investigated. These sources are used to generate the initial conditions and the resultant tsunami waves are simulated with the massively parallelised Volna-OP2 finite volume tsunami code. T

APA, Harvard, Vancouver, ISO, and other styles

27

Plu, Matthieu, Barbara Scherllin-Pirscher, Delia Arnold Arias, et al. "An ensemble of state-of-the-art ash dispersion models: towards probabilistic forecasts to increase the resilience of air traffic against volcanic eruptions." Natural Hazards and Earth System Sciences 21, no. 10 (2021): 2973–92. http://dx.doi.org/10.5194/nhess-21-2973-2021.

Full text

Abstract:

Abstract. High-quality volcanic ash forecasts are crucial to minimize the economic impact of volcanic hazards on air traffic. Decision-making is usually based on numerical dispersion modelling with only one model realization. Given the inherent uncertainty of such an approach, a multi-model multi-source term ensemble has been designed and evaluated for the Eyjafjallajökull eruption in May 2010. Its use for flight planning is discussed. Two multi-model ensembles were built: the first is based on the output of four dispersion models and their own implementation of ash ejection. All a priori mode

APA, Harvard, Vancouver, ISO, and other styles

28

Plu, Matthieu, Barbara Scherllin-Pirscher, Delia Arnold Arias, et al. "An ensemble of state-of-the-art ash dispersion models: towards probabilistic forecasts to increase the resilience of air traffic against volcanic eruptions." Natural Hazards and Earth System Sciences 21, no. 10 (2021): 2973–92. http://dx.doi.org/10.5194/nhess-21-2973-2021.

Full text

Abstract:

Abstract. High-quality volcanic ash forecasts are crucial to minimize the economic impact of volcanic hazards on air traffic. Decision-making is usually based on numerical dispersion modelling with only one model realization. Given the inherent uncertainty of such an approach, a multi-model multi-source term ensemble has been designed and evaluated for the Eyjafjallajökull eruption in May 2010. Its use for flight planning is discussed. Two multi-model ensembles were built: the first is based on the output of four dispersion models and their own implementation of ash ejection. All a priori mode

APA, Harvard, Vancouver, ISO, and other styles

29

Setiyowati, Eka, Agus Rusgiyono, and Tarno Tarno. "MODEL KOMBINASI ARIMA DALAM PERAMALAN HARGA MINYAK MENTAH DUNIA." Jurnal Gaussian 7, no. 1 (2018): 54–63. http://dx.doi.org/10.14710/j.gauss.v7i1.26635.

Full text

Abstract:

Oil is the most important commodity in everyday life, because oil is one of the main sources of energy that is needed for other people. Changes in crude oil prices greatly affect the economic conditions of a country. Therefore, the aim of this study is develop an appropriate model for forecasting crude oil price based on the ARIMA and its ensembles. In this study, ensemble method uses some ARIMA models to create ensemble members which are then combined with averaging and stacking techniques. The data used are the price of world crude oil period 2003-2017. The results showed that ARIMA (1,1,0)

APA, Harvard, Vancouver, ISO, and other styles

30

Komaromi, William A., Patrick A. Reinecke, James D. Doyle, and Jonathan R. Moskaitis. "The Naval Research Laboratory’s Coupled Ocean–Atmosphere Mesoscale Prediction System-Tropical Cyclone Ensemble (COAMPS-TC Ensemble)." Weather and Forecasting 36, no. 2 (2021): 499–517. http://dx.doi.org/10.1175/waf-d-20-0038.1.

Full text

Abstract:

AbstractThe 11-member Coupled Ocean–Atmosphere Mesoscale Prediction System-Tropical Cyclones (COAMPS-TC) ensemble has been developed by the Naval Research Laboratory (NRL) to produce probabilistic forecasts of tropical cyclone (TC) track, intensity and structure. All members run with a storm-following inner grid at convection-permitting 4-km horizontal resolution. The COAMPS-TC ensemble is constructed via a combination of perturbations to initial and boundary conditions, the initial vortex, and model physics to account for a variety of different sources of uncertainty that affect track and int

APA, Harvard, Vancouver, ISO, and other styles

31

Younas, Waqar, and Youmin Tang. "PNA Predictability at Various Time Scales." Journal of Climate 26, no. 22 (2013): 9090–114. http://dx.doi.org/10.1175/jcli-d-12-00609.1.

Full text

Abstract:

Abstract In this study, the predictability of the Pacific–North American (PNA) pattern is evaluated on time scales from days to months using state-of-the-art dynamical multiple-model ensembles including the Canadian Historical Forecast Project (HFP2) ensemble, the Development of a European Multimodel Ensemble System for Seasonal-to-Interannual Prediction (DEMETER) ensemble, and the Ensemble-Based Predictions of Climate Changes and their Impacts (ENSEMBLES). Some interesting findings in this study include (i) multiple-model ensemble (MME) skill was better than most of the individual models; (ii

APA, Harvard, Vancouver, ISO, and other styles

32

El-Ouartassy, Youness, Irène Korsakissok, Matthieu Plu, Olivier Connan, Laurent Descamps, and Laure Raynaud. "Combining short-range dispersion simulations with fine-scale meteorological ensembles: probabilistic indicators and evaluation during a ⁸⁵Kr field campaign." Atmospheric Chemistry and Physics 22, no. 24 (2022): 15793–816. http://dx.doi.org/10.5194/acp-22-15793-2022.

Full text

Abstract:

Abstract. Numerical atmospheric dispersion models (ADMs) are used for predicting the health and environmental consequences of nuclear accidents in order to anticipate countermeasures necessary to protect the populations. However, these simulations suffer from significant uncertainties, arising in particular from input data: weather conditions and source term. Meteorological ensembles are already used operationally to characterize uncertainties in weather predictions. Combined with dispersion models, these ensembles produce different scenarios of radionuclide dispersion, called “members”, repre

APA, Harvard, Vancouver, ISO, and other styles

33

Vialard, Jérôme, Frédéric Vitart, Magdalena A. Balmaseda, Timothy N. Stockdale, and David L. T. Anderson. "An Ensemble Generation Method for Seasonal Forecasting with an Ocean–Atmosphere Coupled Model." Monthly Weather Review 133, no. 2 (2005): 441–53. http://dx.doi.org/10.1175/mwr-2863.1.

Full text

Abstract:

Abstract Seasonal forecasts are subject to various types of errors: amplification of errors in oceanic initial conditions, errors due to the unpredictable nature of the synoptic atmospheric variability, and coupled model error. Ensemble forecasting is usually used in an attempt to sample some or all of these various sources of error. How to build an ensemble forecasting system in the seasonal range remains a largely unexplored area. In this paper, various ensemble generation methodologies for the European Centre for Medium-Range Weather Forecasts (ECMWF) seasonal forecasting system are compare

APA, Harvard, Vancouver, ISO, and other styles

34

Groenemeijer, P., and G. C. Craig. "Ensemble forecasting with a stochastic convective parametrization based on equilibrium statistics." Atmospheric Chemistry and Physics Discussions 11, no. 11 (2011): 30457–85. http://dx.doi.org/10.5194/acpd-11-30457-2011.

Full text

Abstract:

Abstract. The stochastic Plant-Craig scheme for deep convection was implemented in the COSMO mesoscale model and used for ensemble forecasting. Ensembles consisting of 100 48 h forecasts at 7 km horizontal resolution were generated for a 2000 × 2000 km domain covering central Europe. Forecasts were made for seven case studies and characterized by different large-scale meteorological environments. Each 100 member ensemble consisted of 10 groups of 10 members, with each group driven by boundary and initial conditions from a selected member from the global ECMWF Ensemble Prediction System. The pr

APA, Harvard, Vancouver, ISO, and other styles

35

Groenemeijer, P., and G. C. Craig. "Ensemble forecasting with a stochastic convective parametrization based on equilibrium statistics." Atmospheric Chemistry and Physics 12, no. 10 (2012): 4555–65. http://dx.doi.org/10.5194/acp-12-4555-2012.

Full text

Abstract:

Abstract. The stochastic Plant-Craig scheme for deep convection was implemented in the COSMO mesoscale model and used for ensemble forecasting. Ensembles consisting of 100 48-h forecasts at 7 km horizontal resolution were generated for a 2000×2000 km domain covering central Europe. Forecasts were made for seven case studies characterized by different large-scale meteorological environments. Each 100 member ensemble consisted of 10 groups of 10 members, with each group driven by boundary and initial conditions from a selected member from the global ECMWF Ensemble Prediction System. The precipit

APA, Harvard, Vancouver, ISO, and other styles

36

Yip, Stan, Christopher A. T. Ferro, David B. Stephenson, and Ed Hawkins. "A Simple, Coherent Framework for Partitioning Uncertainty in Climate Predictions." Journal of Climate 24, no. 17 (2011): 4634–43. http://dx.doi.org/10.1175/2011jcli4085.1.

Full text

Abstract:

A simple and coherent framework for partitioning uncertainty in multimodel climate ensembles is presented. The analysis of variance (ANOVA) is used to decompose a measure of total variation additively into scenario uncertainty, model uncertainty, and internal variability. This approach requires fewer assumptions than existing methods and can be easily used to quantify uncertainty related to model–scenario interaction—the contribution to model uncertainty arising from the variation across scenarios of model deviations from the ensemble mean. Uncertainty in global mean surface air temperature is

APA, Harvard, Vancouver, ISO, and other styles

37

Siswoyo, Bambang, Zuraida Abal Abas, Ahmad Naim Che Pee, Rita Komalasari, and Nano Suryana. "Ensemble machine learning algorithm optimization of bankruptcy prediction of bank." IAES International Journal of Artificial Intelligence (IJ-AI) 11, no. 2 (2022): 679. http://dx.doi.org/10.11591/ijai.v11.i2.pp679-686.

Full text

Abstract:

The ensemble consists of a single set of individually trained models, the predictions of which are combined when classifying new cases, in building a good classification model requires the diversity of a single model. The algorithm, logistic regression, support vector machine, random forest, and neural network are single models as alternative sources of diversity information. Previous research has shown that ensembles are more accurate than single models. Single model and modified ensemble bagging model are some of the techniques we will study in this paper. We experimented with the banking in

APA, Harvard, Vancouver, ISO, and other styles

38

Lauvaux, Thomas, Liza I. Díaz-Isaac, Marc Bocquet, and Nicolas Bousserez. "Diagnosing spatial error structures in CO<sub>2</sub> mole fractions and XCO<sub>2</sub> column mole fractions from atmospheric transport." Atmospheric Chemistry and Physics 19, no. 18 (2019): 12007–24. http://dx.doi.org/10.5194/acp-19-12007-2019.

Full text

Abstract:

Abstract. Atmospheric inversions inform us about the magnitude and variations of greenhouse gas (GHG) sources and sinks from global to local scales. Deployment of observing systems such as spaceborne sensors and ground-based instruments distributed around the globe has started to offer an unprecedented amount of information to estimate surface exchanges of GHG at finer spatial and temporal scales. However, all inversion methods still rely on imperfect atmospheric transport models whose error structures directly affect the inverse estimates of GHG fluxes. The impact of spatial error structures

APA, Harvard, Vancouver, ISO, and other styles

39

Shinei, Chikara, Yuta Masuyama, Masashi Miyakawa, et al. "Nitrogen related paramagnetic defects: Decoherence source of ensemble of NV⁻ center." Journal of Applied Physics 132, no. 21 (2022): 214402. http://dx.doi.org/10.1063/5.0103332.

Full text

Abstract:

We investigated spin-echo coherence times T2 of negatively charged nitrogen vacancy center (NV−) ensembles in single-crystalline diamond synthesized by either the high-pressure and high-temperature and chemical vapor deposition methods. This study specifically examined the magnetic dipole–dipole interaction (DDI) from the various electronic spin baths, which are the source of T2 decoherence. Diamond samples with NV− center concentration [NV−] comparable to those of neutral substitutional nitrogen concentration [Ns0] were used for DDI estimation. Results show that the T2 of the ensemble NV− cen

APA, Harvard, Vancouver, ISO, and other styles

40

Davolio, S., M. M. Miglietta, T. Diomede, C. Marsigli, and A. Montani. "A flood episode in northern Italy: multi-model and single-model mesoscale meteorological ensembles for hydrological predictions." Hydrology and Earth System Sciences 17, no. 6 (2013): 2107–20. http://dx.doi.org/10.5194/hess-17-2107-2013.

Full text

Abstract:

Abstract. Numerical weather prediction models can be coupled with hydrological models to generate streamflow forecasts. Several ensemble approaches have been recently developed in order to take into account the different sources of errors and provide probabilistic forecasts feeding a flood forecasting system. Within this framework, the present study aims at comparing two high-resolution limited-area meteorological ensembles, covering short and medium range, obtained via different methodologies, but implemented with similar number of members, horizontal resolution (about 7 km), and driving glob

APA, Harvard, Vancouver, ISO, and other styles

41

Davolio, S., M. M. Miglietta, T. Diomede, C. Marsigli, and A. Montani. "A flood episode in Northern Italy: multi-model and single-model mesoscale meteorological ensembles for hydrological predictions." Hydrology and Earth System Sciences Discussions 9, no. 12 (2012): 13415–50. http://dx.doi.org/10.5194/hessd-9-13415-2012.

Full text

Abstract:

Abstract. Numerical weather prediction models can be coupled with hydrological models to generate streamflow forecasts. Several ensemble approaches have been recently developed in order to take into account the different sources of errors and provide probabilistic forecasts feeding a flood forecasting system. Within this framework, the present study aims at comparing two high-resolution limited-area meteorological ensembles, covering short and medium range, obtained via different methodologies, but implemented with similar number of members, horizontal resolution (about 7 km), and driving glob

APA, Harvard, Vancouver, ISO, and other styles

42

Liu, Chelsie Chia-Hsin, Christina W. Tsai, and Yu-Ying Huang. "Development of a Backward–Forward Stochastic Particle Tracking Model for Identification of Probable Sedimentation Sources in Open Channel Flow." Mathematics 9, no. 11 (2021): 1263. http://dx.doi.org/10.3390/math9111263.

Full text

Abstract:

As reservoirs subject to sedimentation, the dam gradually loses its ability to store water. The identification of the sources of deposited sediments is an effective and efficient means of tackling sedimentation problems. A state-of-the-art Lagrangian stochastic particle tracking model with backward–forward tracking methods is applied to identify the probable source regions of deposited sediments. An influence function is introduced into the models to represent the influence of a particular upstream area on the sediment deposition area. One can then verify if a specific area might be a probable

APA, Harvard, Vancouver, ISO, and other styles

43

Wootten, A., A. Terando, B. J. Reich, R. P. Boyles, and F. Semazzi. "Characterizing Sources of Uncertainty from Global Climate Models and Downscaling Techniques." Journal of Applied Meteorology and Climatology 56, no. 12 (2017): 3245–62. http://dx.doi.org/10.1175/jamc-d-17-0087.1.

Full text

Abstract:

AbstractIn recent years, climate model experiments have been increasingly oriented toward providing information that can support local and regional adaptation to the expected impacts of anthropogenic climate change. This shift has magnified the importance of downscaling as a means to translate coarse-scale global climate model (GCM) output to a finer scale that more closely matches the scale of interest. Applying this technique, however, introduces a new source of uncertainty into any resulting climate model ensemble. Here a method is presented, on the basis of a previously established varianc

APA, Harvard, Vancouver, ISO, and other styles

44

Torn, Ryan D. "Evaluation of Atmosphere and Ocean Initial Condition Uncertainty and Stochastic Exchange Coefficients on Ensemble Tropical Cyclone Intensity Forecasts." Monthly Weather Review 144, no. 9 (2016): 3487–506. http://dx.doi.org/10.1175/mwr-d-16-0108.1.

Full text

Abstract:

Tropical cyclone (TC) intensity forecasts are impacted by errors in atmosphere and ocean initial conditions and the model formulation, which motivates using an ensemble approach. This study evaluates the impact of uncertainty in atmospheric and oceanic initial conditions, as well as stochastic representations of the drag Cd and enthalphy Ck exchange coefficients on ensemble Advanced Hurricane WRF (AHW) TC intensity forecasts of multiple Atlantic TCs from 2008 to 2011. Each ensemble experiment is characterized by different combinations of either deterministic or ensemble atmospheric and/or ocea

APA, Harvard, Vancouver, ISO, and other styles

45

Meng, Zhiyong, and Fuqing Zhang. "Tests of an Ensemble Kalman Filter for Mesoscale and Regional-Scale Data Assimilation. Part III: Comparison with 3DVAR in a Real-Data Case Study." Monthly Weather Review 136, no. 2 (2008): 522–40. http://dx.doi.org/10.1175/2007mwr2106.1.

Full text

Abstract:

Abstract The feasibility of using an ensemble Kalman filter (EnKF) for mesoscale and regional-scale data assimilation has been demonstrated in the authors’ recent studies via observing system simulation experiments (OSSEs) both under a perfect-model assumption and in the presence of significant model error. The current study extends the EnKF to assimilate real-data observations for a warm-season mesoscale convective vortex (MCV) event on 10–12 June 2003. Direct comparison between the EnKF and a three-dimensional variational data assimilation (3DVAR) system, both implemented in the Weather Rese

APA, Harvard, Vancouver, ISO, and other styles

46

Gallippi, Caterina M., and Gregg E. Trahey. "Adaptive Clutter Filtering via Blind Source Separation for Two-Dimensional Ultrasonic Blood Velocity Measurement." Ultrasonic Imaging 24, no. 4 (2002): 193–214. http://dx.doi.org/10.1177/016173460202400401.

Full text

Abstract:

A method for adaptive clutter rejection via blind source separation (BSS) using principal and independent component analyses is presented in application to blood velocity measurement in the carotid artery. In particular, the filtering method's efficacy for eliminating clutter and preserving lateral blood flow signal components is presented. The performance of IIR filters is compromised by shorth data ensembles (10 to 20 temporal samples) as implemented for color-flow and high frame-rate imaging due to initialization requirements. Further, the ultrasonic imaging system's transfer function maps

APA, Harvard, Vancouver, ISO, and other styles

47

SCASE, M. M., C. P. CAULFIELD, and S. B. DALZIEL. "Temporal variation of non-ideal plumes with sudden reductions in buoyancy flux." Journal of Fluid Mechanics 600 (March 26, 2008): 181–99. http://dx.doi.org/10.1017/s0022112008000487.

Full text

Abstract:

We model the behaviour of isolated sources of finite radius and volume flux which experience a sudden drop in buoyancy flux, generalizing the previous theory presented in Scase et al. (J. Fluid Mech., vol. 563, 2006, p. 443). In particular, we consider the problem of the source of an established plume suddenly increasing in area to provide a much wider plume source. Our calculations predict that, while our model remains applicable, the plume never fully pinches off into individual rising thermals.We report the results of a large number of experiments, which provide an ensemble to compare to th

APA, Harvard, Vancouver, ISO, and other styles

48

Miron, Marius, Julio J. Carabias-Orti, Juan J. Bosch, Emilia Gómez, and Jordi Janer. "Score-Informed Source Separation for Multichannel Orchestral Recordings." Journal of Electrical and Computer Engineering 2016 (2016): 1–19. http://dx.doi.org/10.1155/2016/8363507.

Full text

Abstract:

This paper proposes a system for score-informed audio source separation for multichannel orchestral recordings. The orchestral music repertoire relies on the existence of scores. Thus, a reliable separation requires a good alignment of the score with the audio of the performance. To that extent, automatic score alignment methods are reliable when allowing a tolerance window around the actual onset and offset. Moreover, several factors increase the difficulty of our task: a high reverberant image, large ensembles having rich polyphony, and a large variety of instruments recorded within a distan

APA, Harvard, Vancouver, ISO, and other styles

49

Landel, Julien R., C. P. Caulfield, and Andrew W. Woods. "Streamwise dispersion and mixing in quasi-two-dimensional steady turbulent jets." Journal of Fluid Mechanics 711 (September 12, 2012): 212–58. http://dx.doi.org/10.1017/jfm.2012.388.

Full text

Abstract:

AbstractWe investigate experimentally and theoretically the streamwise transport and dispersion properties of steady quasi-two-dimensional plane turbulent jets discharged vertically from a slot of width $d$ into a fluid confined between two relatively close rigid boundaries with gap $W\ensuremath{\sim} O(d)$. We model the evolution in time and space of the concentration of passive tracers released in these jets using a one-dimensional time-dependent effective advection–diffusion equation. We make a mixing length hypothesis to model the streamwise turbulent eddy diffusivity such that it scales

APA, Harvard, Vancouver, ISO, and other styles

50

Beg, Md Nazmul Azim, Jorge Leandro, Punit Bhola, et al. "Discharge Interval method for uncertain flood forecasts using a flood model chain: city of Kulmbach." Journal of Hydroinformatics 21, no. 5 (2019): 925–44. http://dx.doi.org/10.2166/hydro.2019.131.

Full text

Abstract:

Abstract Real-time flood forecasting can help authorities in providing reliable warnings to the public. Ensemble prediction systems (EPS) have been progressively used for operational flood forecasting by European hydrometeorological agencies in recent years. This process, however, is non-deterministic such that uncertainty sources need to be considered before issuing forecasts. In this study, a new methodology for flood forecasting named Discharge Interval method is proposed. This method uses at least one historical event hindcast data, run in several ensembles and selects a pair of best ensem

APA, Harvard, Vancouver, ISO, and other styles

We offer discounts on all premium plans for authors whose works are included in thematic literature selections. Contact us to get a unique promo code!