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1

Lin, Qi, and Zhi Li. "Credibility Evaluation of Simulation Models." Advanced Materials Research 765-767 (September 2013): 713–16. http://dx.doi.org/10.4028/www.scientific.net/amr.765-767.713.

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This paper discusses an evaluation methodology that can be used to assess the credibility of simulation models. The goal of verification and validation of simulation models will be described, together with a description of evaluation methodology and evaluation procedures. The credibility of simulation models can be evaluated using the method proposed here, which will be much meaningful to the simulation systems development. Taking a space Tether-net simulation system as an instance, the credibility evaluation result is provided.
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Rojo, Marta. "Evaluation of Traffic Assignment Models through Simulation." Sustainability 12, no. 14 (2020): 5536. http://dx.doi.org/10.3390/su12145536.

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Assignment methodologies attempt to determine the traffic flow over each network arc based on its characteristics and the total flow over the entire area. There are several methodologies—some fast and others that are more complex and require more time to complete the calculation. In this study, we evaluated different assignment methodologies using a computer simulation and tested the results in a specific case study. The results showed that the “all-or-nothing” methods and the incremental assignment methods generally yield results with an unacceptable level of error unless the traffic is divided into four or more equal parts. The method of successive averages (MSA) was valid starting from a relatively low number of iterations, while the user equilibrium methodologies (approximated using the Frank and Wolfe algorithm) were valid starting from an even lower number of iterations. These results may be useful to researchers in the field of computer simulation and planners who apply these methodologies in similar cases.
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Campbell, Nicholas S., Kyle Hanquist, Andrew Morin, Jason Meyers, and Iain Boyd. "Evaluation of Computational Models for Electron Transpiration Cooling." Aerospace 8, no. 9 (2021): 243. http://dx.doi.org/10.3390/aerospace8090243.

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Recent developments in the world of hypersonic flight have brought increased attention to the thermal response of materials exposed to high-enthalpy gases. One promising concept is electron transpiration cooling (ETC) that provides the prospect of a passive heat removal mechanism, rivaling and possibly outperforming that of radiative cooling. In this work, non-equilibrium CFD simulations are performed to evaluate the possible roles of this cooling mode under high-enthalpy conditions obtainable in plasma torch ground-test facilities capable of long flow times. The work focuses on the test case of argon gas being heated to achieve enthalpies equivalent to post-shock conditions experienced by a vehicle flying through the atmosphere at hypersonic speed. Simulations are performed at a range of conditions and are used to calibrate direct comparisons between torch operating conditions and resulting flow properties. These comparisons highlight important modeling considerations for simulating long-duration, hot chamber tests. Simulation results correspond well with the experimental measurements of gas temperature, material surface temperature as well as measured current generated in the test article. Theoretical methods taking into consideration space charge limitations are presented and applied to provide design suggestions to boost the ETC effect in future experiments.
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Manlig, František, Radek Havlik, and Alena Gottwaldova. "Settings, Experimentation and Evaluation of the Simulation Models." Applied Mechanics and Materials 309 (February 2013): 366–71. http://dx.doi.org/10.4028/www.scientific.net/amm.309.366.

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This paper deals with research in computer simulation of manufacturing processes. The paper summarizes the procedures associated with developing the model, experimenting with and evaluating the model results. The key area is of experimentation with the simulation model and evaluation using indicators or multi-criteria functions. With regards to the experiment the crucial variables are the simulation model. The key ideas are to set the number of variables, depending on what a given simulation will be. For example, when introducing new technology into production, modify the type of warehouse, saving workers, thus economizing. The simulation models for the operational management uses simplified models, if possible, a minimum number of variables to obtain the result in shortest possible time. These models are more user friendly and the course will be conducted mostly in the background. An example of a criteria function is the number of parts produced or production time. Multi-criteria function has given us the opportunity to make better quality decisions. It is based on the composition of several parameters, including their weight to one end point. The type of evaluation functions, whether it is an indicator or criteria function is selected and based on customer requirements. In most cases it is recommended to use the multi-dimensional function. It gives us a more comprehensive view of the results from the model and facilitates decision-making. The result of this paper is a display of setting parameters for the experimentation on a sample model. Furthermore, the comparisons of results with a multi-criteria objective function and one-criterion indicator.
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5

Song, Z., H. Liu, L. Zhang, F. Qiao, and C. Wang. "Evaluation of the eastern equatorial Pacific SST seasonal cycle in CMIP5 models." Ocean Science Discussions 11, no. 2 (2014): 1129–47. http://dx.doi.org/10.5194/osd-11-1129-2014.

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Abstract. The annual cycle of sea surface temperature (SST) in the eastern equatorial Pacific (EEP) with the largest amplitude in the tropical oceans is poorly represented in the coupled general circulation models (CGCMs) of the Coupled Model Intercomparison Project phase 3 (CMIP3). In this study, 18 models from CMIP5 projects are evaluated in simulating the annual cycle in the EEP. Fourteen models are able to simulate the annual cycle, and four still show erroneous information in the simulation, which suggests that the performances of CGCMs have been improved. The results of multi-model ensemble (MME) mean show that CMIP5 CGCMs can capture the annual cycle signal in the EEP with correlation coefficients up to 0.9. For amplitude simulations, EEP region 1 (EP1) near the eastern coast shows weaker results than observations due to the large warm SST bias from the southeastern tropical Pacific in the boreal autumn. In EEP region 2 (EP2) near the central equatorial Pacific, the simulated amplitudes are nearly the same as the observations because of the presence of a quasi-constant cold bias associated with poor cold tongue climatology simulation in the CGCMs. To improve CGCMs in the simulation of a realistic SST seasonal cycle, local and remote climatology SST biases that exist in both CMIP3 and CMIP5 CGCMs must be resolved at least for the simulation in the central equatorial Pacific and the southeastern tropical Pacific.
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6

Cumber, P., and M. Fairweather. "Evaluation Of Participating Media Models For Fire Simulation." Fire Safety Science 6 (2000): 337–48. http://dx.doi.org/10.3801/iafss.fss.6-337.

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7

Abbasi, Fariborz, Mohammad Mahmodian Shooshtari, and Jan Feyen. "Evaluation of Various Surface Irrigation Numerical Simulation Models." Journal of Irrigation and Drainage Engineering 129, no. 3 (2003): 208–13. http://dx.doi.org/10.1061/(asce)0733-9437(2003)129:3(208).

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8

Pelletier, Dominique, and Stephanie Mahevas. "Spatially explicit fisheries simulation models for policy evaluation." Fish and Fisheries 6, no. 4 (2005): 307–49. http://dx.doi.org/10.1111/j.1467-2979.2005.00199.x.

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9

Filippi, J. B., V. Mallet, and B. Nader. "Evaluation of forest fire models on a large observation database." Natural Hazards and Earth System Sciences 14, no. 11 (2014): 3077–91. http://dx.doi.org/10.5194/nhess-14-3077-2014.

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Abstract. This paper presents the evaluation of several fire propagation models using a large set of observed fires. The observation base is composed of 80 Mediterranean fire cases of different sizes, which come with the limited information available in an operational context (burned surface and approximative ignition point). Simulations for all cases are carried out with four different front velocity models. The results are compared with several error scoring methods applied to each of the 320 simulations. All tasks are performed in a fully automated manner, with simulations run as first guesses with no tuning for any of the models or cases. This approach leads to a wide range of simulation performance, including some of the bad simulation results to be expected in an operational context. Disregarding the quality of the input data, it is found that the models can be ranked based on their performance and that the most complex models outperform the more empirical ones. Data and source codes used for this paper are freely available to the community.
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10

Filippi, J. B., V. Mallet, and B. Nader. "Evaluation of forest fire models on a large observation database." Natural Hazards and Earth System Sciences Discussions 2, no. 5 (2014): 3219–49. http://dx.doi.org/10.5194/nhessd-2-3219-2014.

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Abstract. This paper presents the evaluation of several fire propagation models using a large set of observed fires. The observation base is composed of 80 Mediterranean fire cases of different sizes, which come with the limited information available in an operational context (burned surface and approximative ignition point). Simulations for all cases are carried out with 4 different front velocity models. The results are compared with several error scoring methods applied to each of the 320 simulations. All tasks are performed in a fully automated manner, with simulations ran as first guesses with no tuning for any of the models or cases. This approach leads a wide range of simulation performance, including some of the bad simulation results to be expected in an operational context. Regardless the quality of the input data, it is found that the models can be ranked based on their performance and that the most complex models outperform the more empirical ones. Data and source code used for this paper are freely available to the community.
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11

KOSINA, HANS, and MIHAIL NEDJALKOV. "PARTICLE MODELS FOR DEVICE SIMULATION." International Journal of High Speed Electronics and Systems 13, no. 03 (2003): 727–69. http://dx.doi.org/10.1142/s0129156403002010.

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A theoretical analysis of the Monte Carlo (MC) method for both semiclassical and quantum device simulation is presented. A link between physically-based MC methods for semiclassical transport calculations and the numerical MC method for solving integrals and integral equations is established. The integral representations of the transient and the stationary Boltzmann equations are presented as well as the respective conjugate equations. The structure of the terms of the Neumann series and their evaluation by MC integration is discussed. Using this formal approach the standard MC algorithms and a variety of new algorithms is derived, such as the backward and the weighted algorithms, and algorithms for linear small-signal analysis. Applying this theoretical framework to the Wigner-Boltzmann equation enables the development of particle models for quantum transport problems.
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12

Li, Juan, Young-Min Yang, and Bin Wang. "Evaluation of NESMv3 and CMIP5 Models’ Performance on Simulation of Asian-Australian Monsoon." Atmosphere 9, no. 9 (2018): 327. http://dx.doi.org/10.3390/atmos9090327.

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The Asian-Australian monsoon (AAM) has far-reaching impacts on global and local climate. Accurate simulations of AAM precipitation and its variabilities are of scientific and social importance, yet remain a great challenge in climate modeling. The present study assesses the performance of the newly developed Nanjing University of Information Science and Technology Earth System Model version 3 (NESMv3), together with that of 20 Coupled Model Intercomparison Project phase 5 (CMIP5) models, in the simulation of AAM climatology, its major modes of variability, and their relationships with El Nino-Southern Oscillation (ENSO). It is concluded that NESMv3 (1) reproduces, well, the observed features of AAM annual mean precipitation; (2) captures the solstice mode (the first annual cycle mode) of AAM realistically, but has difficulty in simulating the equinox mode (the second annual cycle mode) of AAM; (3) underestimates the monsoon precipitation intensity over the East Asian subtropical frontal zone, but overestimates that over the tropical western North Pacific; (4) faithfully reproduces the first season-reliant empirical orthogonal function (SEOF) mode of AAM precipitation and the associated circulation anomalies, as well as its relationship with ENSO turnabout, although the correlation is underestimated. Precipitation anomaly patterns of the second SEOF mode and its relationship with El Nino are poorly simulated by NESMv3 and most of the CMIP5 models as well, indicating that the monsoon variability prior to the ENSO onset is difficult to reproduce. In general, NESMv3’s performance in simulating AAM precipitation ranks among the top or above-average compared with the 20 CMIP5 models. Better simulation of East Asian summer monsoon and western Pacific subtropical high remains a major target for future improvement, in order to provide a reliable tool to understand and predict AAM precipitation.
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13

Yun, Jaeho. "Density Forecast Evaluations via a Simulation-Based Dynamic Probability Integral Transformation*." Journal of Financial Econometrics 18, no. 1 (2018): 24–58. http://dx.doi.org/10.1093/jjfinec/nby030.

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Abstract This paper presents simulation-based density forecast evaluation methods using particle filters. The simulation-based dynamic probability integral transformation or log-likelihood evaluation method is combined with the existing density forecast evaluation methods. This methodology is applicable to various density forecast models, such as log stochastic volatility models and affine jump diffusion (AJD) models, for which the probability integral transform or likelihood computation is difficult due to the presence of latent stochastic volatilities. This methodology is applied to the daily S&P 500 stock index. The empirical results show that the AJD models with jumps perform the best for out-of-sample evaluations.
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14

Lu, Zhichao, Tianbao Zhao, and Weican Zhou. "Evaluation of the Antarctic Circumpolar Wave Simulated by CMIP5 and CMIP6 Models." Atmosphere 11, no. 9 (2020): 931. http://dx.doi.org/10.3390/atmos11090931.

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As a coupled large-scale oceanic and atmospheric pattern in the Southern Ocean, the Antarctic circumpolar wave (ACW) has substantial impacts on the global climate. In this study, using the European Centre for Medium-Range Weather Forecasts ERA5 dataset and historical experiment outputs from 24 models of the Coupled Model Intercomparison Project Phase 5 and Phase 6 (CMIP5/CMIP6) spanning the 1980s and 1990s, the simulation capability of models for sea-level pressure (SLP) and sea surface temperature (SST) variability of the ACW is evaluated. It is shown that most models can capture well the 50-month period of the ACW. However, many simulations show a weak amplitude, but with various phase differences. Selected models can simulate SLP better than SST, and CMIP6 models generally perform better than the CMIP5 models. The best model for SLP simulation is the CanESM5 model from CMIP6, whereas the best model for SST simulation is the ACCESS1.3 model from CMIP5. It seems that the SST simulation benefits from the inclusion of both a carbon cycle process and a chemistry module, while the SLP simulation benefits from only the chemistry module. When both SLP and SST are taken into consideration, the CanESM5 model performs the best among all the selected models.
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15

Elbashti, M. E., M. Hattori, Y. I. Sumita, and H. Taniguchi. "Evaluation of articulation simulation system using artificial maxillectomy models." Journal of Oral Rehabilitation 42, no. 9 (2015): 678–84. http://dx.doi.org/10.1111/joor.12306.

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16

Choe, Youngjun, Eunshin Byon, and Nan Chen. "Importance Sampling for Reliability Evaluation With Stochastic Simulation Models." Technometrics 57, no. 3 (2015): 351–61. http://dx.doi.org/10.1080/00401706.2014.1001523.

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17

Bauer, Andreas, Christoph Urach, and Felix Breitenecker. "Evaluation of Compartment Models for Simulation of Infliximab Depletion." SNE Simulation Notes Europe 24, no. 1 (2014): 21–26. http://dx.doi.org/10.11128/sne.24.tn.10225.

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18

Chastain, Bryan, Fang Qiu, and Alex R. Piquero. "Crime Theory Evaluation Using Simulation Models of Residential Burglary." American Journal of Criminal Justice 41, no. 4 (2016): 814–33. http://dx.doi.org/10.1007/s12103-016-9336-8.

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19

NAGATA, Mitsuhiro, Takayuki FUYUTO, Ryo MASUDA, Reiko UEDA, and Reinhard TATSCHL. "B212 Evaluation of Emission Models in Diesel Engine Simulation." Proceedings of the Thermal Engineering Conference 2005 (2005): 337–38. http://dx.doi.org/10.1299/jsmeted.2005.337.

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20

Jeppsson, U., J. Alex, D. J. Batstone, et al. "Benchmark simulation models, quo vadis?" Water Science and Technology 68, no. 1 (2013): 1–15. http://dx.doi.org/10.2166/wst.2013.246.

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As the work of the IWA Task Group on Benchmarking of Control Strategies for wastewater treatment plants (WWTPs) is coming to an end, it is essential to disseminate the knowledge gained. For this reason, all authors of the IWA Scientific and Technical Report on benchmarking have come together to provide their insights, highlighting areas where knowledge may still be deficient and where new opportunities are emerging, and to propose potential avenues for future development and application of the general benchmarking framework and its associated tools. The paper focuses on the topics of temporal and spatial extension, process modifications within the WWTP, the realism of models, control strategy extensions and the potential for new evaluation tools within the existing benchmark system. We find that there are major opportunities for application within all of these areas, either from existing work already being done within the context of the benchmarking simulation models (BSMs) or applicable work in the wider literature. Of key importance is increasing capability, usability and transparency of the BSM package while avoiding unnecessary complexity.
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21

Agustini, Ketut, and I. Putu Wisna Ariawan. "Cooperatif Learning Models Simulation : From Abstract to Concrete." SHS Web of Conferences 42 (2018): 00107. http://dx.doi.org/10.1051/shsconf/20184200107.

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This study aimed to develop a simulation of cooperative learning model that used students as prospective teachers in improving the quality of learning, especially for preparedness in the classroom of the microteaching learning. A wider range of outcomes can be used more widely by teachers and lecturers in order to improve the professionalism as educators. The method used is research and development (R&D), using Dick & Carey development model. To produce as expected, there are several steps that must be done through global research, among others, do steps (a) conduct in-depth theoretical study related to the simulation software that will be generated based on cooperative learning models to be developed , (b) formulate figure simulation software system is based on the results of theoretical study and (c) conduct a formative evaluation is done by content expert, design expert, and media expert to the validity of the simulation media, one to one student evaluation, small group evaluation and field trial evaluation. Simulation results showed that the Cooperative Learning Model can simulated three models by well. Student response through the simulation models is very positive by 60 % and 40% positive. The implication of this research result is that student of teacher candidate can apply cooperative learning model well when teaching real in training school hence student need to be given real simulation example how cooperative learning is implemented in class.
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Czaplewski, Krzysztof, and Piotr Zwolan. "Multicriteria Analysis Method for Evaluation of Vessel Simulation Models in Open Waters." Journal of Navigation 72, no. 1 (2018): 69–84. http://dx.doi.org/10.1017/s0373463318000541.

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Modern ship simulators enable simulations of reality using available environment and ship models. When choosing a specific vessel from a catalogue, however, it is not always immediately apparent as to how true a simulation is to the original vessel. Its makers are required only to have software certificates, which does not ensure the exact modelling of a ship in the simulation. This paper presents research in continuation of previous work presenting a general methodology for the evaluation of the degree of accuracy of a simulated ship model compared to its real-world counterpart. In this paper, the results are shown of a comparative analysis based on actual measurements with the use of one of the methods of multi-criteria analysis. Furthermore, the methodology for the construction of ship models is presented. The paper concludes with a test verifying the accuracy of the assumptions.
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Nazaripooya, Hadi, Parviz Kardavani, and Abdoraze Farajirad. "Calibration and Evaluation of Hydrological Models, IHACRES and SWAT Models in Runoff Simulation." Journal of Spatial Analysis Environmental Hazarts 2, no. 2 (2015): 99–112. http://dx.doi.org/10.18869/acadpub.jsaeh.2.2.99.

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24

Kaplan, David, and Rani George. "Evaluating Latent Variable Growth Models Through Ex Post Simulation." Journal of Educational and Behavioral Statistics 23, no. 3 (1998): 216–35. http://dx.doi.org/10.3102/10769986023003216.

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This article considers the use of ex post (historical) simulation statistics as a means of evaluating latent variable growth models. Ex post simulation involves using the estimated parameters of a latent variable growth model to track the known historical values of an outcome of interest. Such methods of evaluating temporal models were developed primarily in applied economic forecasting and have been known for some time. This paper applies a variety of simulation quality statistics to latent variable growth models. In particular, Theil’s (1966) inequality coefficient, bias proportion, variance proportion, and covariance proportion are used to gauge the simulation adequacy of growth models. An application to the study of change in science achievement using data from the Longitudinal Study of American Youth is provided to illustrate the methodology. The results illustrate the importance of using these measures as adjuncts to more traditional forms of model evaluation, especially if one is considering the use of these models for subsequent forecasting or other policy purposes.
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25

Song, Z. Y., H. L. Liu, C. Z. Wang, L. P. Zhang, and F. L. Qiao. "Evaluation of the eastern equatorial Pacific SST seasonal cycle in CMIP5 models." Ocean Science 10, no. 5 (2014): 837–43. http://dx.doi.org/10.5194/os-10-837-2014.

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Abstract. The annual cycle of sea surface temperature (SST) in the eastern equatorial Pacific (EEP) has the largest amplitude in the tropical oceans, but it is poorly represented in the coupled general circulation models (CGCMs) of the Coupled Model Intercomparison Project Phase 3 (CMIP3). In this study, 18 models from CMIP5 are evaluated in terms of their capability of simulating the SST annual cycle in the EEP. Fourteen models are able to simulate the annual cycle fairly well, which suggests that the performances of CGCMs have been improved. The results of multi-model ensemble (MME) mean show that CMIP5 CGCMs can capture the annual cycle signal in the EEP with a correlation coefficient up to 0.9. Moreover, the CMIP5 models can simulate the westward propagation character of the EEP SST – in particular, EEP region 1 (EP1) near the eastern coast leading EEP region 2 (EP2) near the central equatorial Pacific by 1 to 2 months in spring. However, the models fail to reproduce the in-phase SST relationship between EP1 and EP2 in August and September. For amplitude simulations, the model SST in EP1 shows weaker seasonal variation than the observations due to the large warm SST biases from the southeastern tropical Pacific in the boreal autumn. In EP2, the simulated SST amplitudes are nearly the same as the observations while there is the presence of a quasi-constant cold bias associated with poor cold tongue simulation in the CGCMs. To improve CGCM simulation of a realistic SST seasonal cycle, local and remote SST biases that exist in both CMIP3 and CMIP5 CGCMs must be resolved at least for simulating the SSTs in the central equatorial Pacific and the southeastern tropical Pacific.
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26

Stromatas, S., S. Turquety, L. Menut, et al. "Lidar signal simulation for the evaluation of aerosols in chemistry-transport models." Geoscientific Model Development Discussions 5, no. 2 (2012): 1691–741. http://dx.doi.org/10.5194/gmdd-5-1691-2012.

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Abstract. We present an adaptable tool, the OPTSIM (OPTical properties SIMulation) software, for the simulation of optical properties and lidar attenuated backscattered profiles (β') from aerosol concentrations calculated by chemistry-transport models (CTM). It was developed to support model evaluation using an original approach based on the lidar Level 1 observations (β'), avoiding the use of Level 2 aerosol retrievals which include specific assumptions on aerosol types that may not be in agreement with the CTM. In addition to an evaluation of the aerosol loading and optical properties, active remote sensing allows the analysis of aerosols' vertical structures. An academic case study for two different species (black carbon and dust) is presented and shows the consistency of the simulator. Illustrations are then given through the analysis of dust events in the Mediterranean region during the summer 2007. These are based on simulations by the CHIMERE regional CTM and observations from the CALIOP space-based lidar, and highlight the potential of this approach to evaluate the concentration, size and vertical structure of the aerosol plumes.
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Li, Zhiqiang, Yulun Zhou, Bingcheng Wan, Hopun Chung, Bo Huang, and Biao Liu. "Model evaluation of high-resolution urban climate simulations: using the WRF/Noah LSM/SLUCM model (Version 3.7.1) as a case study." Geoscientific Model Development 12, no. 11 (2019): 4571–84. http://dx.doi.org/10.5194/gmd-12-4571-2019.

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Abstract. The veracity of urban climate simulation models should be systematically evaluated to demonstrate the trustworthiness of these models against possible model uncertainties. However, existing studies paid insufficient attention to model evaluation; most studies only provided some simple comparison lines between modelled variables and their corresponding observed ones on the temporal dimension. Challenges remain since such simple comparisons cannot concretely prove that the simulation of urban climate behaviours is reliable. Studies without systematic model evaluations, being ambiguous or arbitrary to some extent, may lead to some seemingly new but scientifically misleading findings. To tackle these challenges, this article proposes a methodological framework for the model evaluation of high-resolution urban climate simulations and demonstrates its effectiveness with a case study in the area of Shenzhen and Hong Kong SAR, China. It is intended to (again) remind urban climate modellers of the necessity of conducting systematic model evaluations with urban-scale climatology modelling and reduce these ambiguous or arbitrary modelling practices.
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Shao, Xin Peng, Hui Ji, Shu Ming Yan, et al. "Correlation Analysis of Computer Simulation with Full-Scale Impact Test for Barrier Safety Evaluation." Applied Mechanics and Materials 94-96 (September 2011): 2092–101. http://dx.doi.org/10.4028/www.scientific.net/amm.94-96.2092.

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In order to analyze the feasibility of barrier safety performance evaluation with computer simulation method, finite-element models of various vehicles and barriers were set up and simulations results are compared to multiple full-scale impact test data. The results indicate that all safety performance index such as vehicle trajectory, structural adequacy, occupant risk and dynamic deformation can be extracted from computer simulation and FEA results are coincident with those of tests with error less than 10%. Computer simulation method is proved to be highly feasible for safety performance evaluation of barriers. The concept that simulation models must be verified through tests is stressed and the suggestion that laws and regulations on professional audit and management of CAE engineers should be completed is brought out.
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Mahdavi, Ardeshir. "On the Evaluation of Behavioural Models of Buildings' Inhabitants." Applied Mechanics and Materials 887 (January 2019): 3–9. http://dx.doi.org/10.4028/www.scientific.net/amm.887.3.

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This paper addresses the model validation challenges relevant to representation of inhabitants' presence and behavior in buildings. Motivated by the lack of general guidelines for the evaluation of user-related behavioural models in building performance simulation, the paper underlines the need for rigorous processes toward quality assurance while integrating behavioural representations in building performance simulation applications and processes.
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Ma, Lanssie Mingyue, and Karen M. Feigh. "Jumpstarting Modelling Systems Design: A Generalized Xml Abstraction Of Simulation Model." Proceedings of the Human Factors and Ergonomics Society Annual Meeting 61, no. 1 (2017): 718–22. http://dx.doi.org/10.1177/1541931213601665.

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While many complex models and simulations exist, tools to help evaluate the structure of work between humans and autonomous systems are underdeveloped. There is a need to understand what concepts of operations and function allocations of system(s) imply about the system' efficiency and outcome. In this paper, we define key elements necessary to capture in an abstraction schematic, a formal representation, of “work” for simulation systems, implemented with an example simulation system, Work Models that Compute (WMC5). This generalization has many applications in evaluating the understanding key cognitive domains in autonomy, coherency, function allocation, and more. We provide a simple methodology to generate an abstraction schematic for simulations and walk through building such a schematic for a simulation. This system creates a template (e.g. defining skeletons classes, objects, and methods) for programmers to further develop. This paper demonstrates the importance of abstraction schematics for model evaluation through several examples applications of the schematic to drastically reduce workflow for developing WMC5 code, and further investigate the model through graph network structures. Abstraction schemas, as we demonstrate, are simple to develop, useful for evaluating system structure, and help validate interactions between agents and autonomous systems. Abstraction schemas jumpstart system designers in developing models of work prior to simulation development.
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31

Beaver, Scott, Saffet Tanrikulu, Ahmet Palazoglu, et al. "Pattern-Based Evaluation of Coupled Meteorological and Air Quality Models." Journal of Applied Meteorology and Climatology 49, no. 10 (2010): 2077–91. http://dx.doi.org/10.1175/2010jamc2471.1.

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Abstract A novel pattern-based model evaluation technique is proposed and demonstrated for air quality models (AQMs) driven by meteorological model (MM) output. The evaluation technique is applied directly to the MM output; however, it is ultimately used to gauge the performance of the driven AQM. This evaluation of AQM performance based on MM performance is a major advance over traditional evaluation methods. First, meteorological cluster analysis is used to assign the days of a historical measurement period among a small number of weather patterns having distinct air quality characteristics. The clustering algorithm groups days sharing similar empirical orthogonal function (EOF) representations of their measurements. In this study, EOF analysis is used to extract space–time patterns in the surface wind field reflecting both synoptic and mesoscale influences. Second, simulated wind fields are classified among the determined weather patterns using the measurement-derived EOFs. For a given period, the level of agreement between the observation-based clustering labels and the simulation-based classification labels is used to assess the validity of the simulation results. Mismatches occurring between the two sets of labels for a given period imply inaccurately simulated conditions. Moreover, the specific nature of a mismatch can help to diagnose the downstream effects of improperly simulated meteorological fields on AQM performance. This pattern-based model evaluation technique was applied to extended simulations of fine particulate matter (PM2.5) covering two winter seasons for the San Francisco Bay Area of California.
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32

WANG, BING, HUIQIANG ZHANG, and XILIN WANG. "EVALUATION OF PARTICLE STOCHASTIC SEPARATED FLOW MODELS VIA LARGE EDDY SIMULATION." International Journal of Modern Physics C 21, no. 07 (2010): 867–90. http://dx.doi.org/10.1142/s0129183110015531.

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This paper evaluates three widely used particle stochastic separated flow (SSF) models through large eddy simulation (LES) of gas-particle two-phase turbulent flows over a backward-facing step. The ability of the models to predict mean velocities, fluctuating velocities, and spatial dispersion of particles are carefully examined in comparison with LES reference results. Evaluation shows that the improved time-series SSF model produces good predictions on mean and fluctuating velocities in the particle phase which highly agree with LES results. However, the time-series SSF model has higher computational cost. Further, compared with the two other models, the time-series SSF model predicts better results on the spatial dispersion of particles. It has an overall advantage in terms of accuracy and efficiency in predicting velocity moments and particle dispersion even without the presence of so many particles. The dependence of different SSF models on the number of computational particles in a converged flow field is also discussed. This paper is useful for the selection and application of SSF models in numerical simulations of practical two-phase turbulent flows.
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33

Chernouss, P. A., and Yu Fedorenko. "Application of statistical simulation for avalanche-risk evaluation." Annals of Glaciology 32 (2001): 182–86. http://dx.doi.org/10.3189/172756401781819274.

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AbstractAvalanche risk is considered as the probability of an avalanche event that could cause certain losses. A unified approach for avalanche-risk evaluation by statistical simulation is suggested. A chain of models, describing snow deposition, transformation, stability, avalanche dynamics and interaction with an obstacle, is used within such an approach. Each of the models evaluates a given situation in a deterministic manner, yielding a unique result value. Output data of each model can be the input for the next model in the chain. Uncertainty of input data is described in a probabilistic manner. Using the chain of the deterministic models and simulating the input data according to appropriate probability distributions with the Monte Carlo method, risk evaluations are obtained as the ratio of a number of certain types of outcome to the total number of tests. All kinds of information on weather, snow and avalanches can be used within this scheme. The simulation process can be started at any stage of the modelling. In this study it was started from the snow-cover stability simulation. Application of the statistical simulation in such a way gives an opportunity to reflect uncertainty of the initial data in the results obtained. The suggested scheme was used for producing a computer-assisted workplace for avalanche forecasting, “LAVINA”, which has been exploited at the Centre of Avalanche Safety of “Apatit”, Kirovsk, Russia, since the early 1990s. It is an integrated system that permits spatial and temporal estimations of snow stability and avalanche dynamics to be made. Assessments of the validity of the risk estimation made with LAVINA are presented.
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34

Stromatas, S., S. Turquety, L. Menut, et al. "Lidar signal simulation for the evaluation of aerosols in chemistry transport models." Geoscientific Model Development 5, no. 6 (2012): 1543–64. http://dx.doi.org/10.5194/gmd-5-1543-2012.

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Abstract. We present an adaptable tool, the OPTSIM (OPTical properties SIMulation) software, for the simulation of optical properties and lidar attenuated backscattered profiles (β') from aerosol concentrations calculated by chemistry transport models (CTM). It was developed to model both Level 1 observations and Level 2 aerosol lidar retrievals in order to compare model results to measurements: the level 2 enables to estimate the main properties of aerosols plume structures, but may be limited due to specific assumptions. The level 1, originally developed for this tool, gives access to more information about aerosols properties (β') requiring, at the same time, less hypothesis on aerosols types. In addition to an evaluation of the aerosol loading and optical properties, active remote sensing allows the analysis of aerosols' vertical structures. An academic case study for two different species (black carbon and dust) is presented and shows the consistency of the simulator. Illustrations are then given through the analysis of dust events in the Mediterranean region during the summer 2007. These are based on simulations by the CHIMERE regional CTM and observations from the CALIOP space-based lidar, and highlight the potential of this approach to evaluate the concentration, size and vertical structure of the aerosol plumes.
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35

Touboul, Jonathan. "On the Simulation of Nonlinear Bidimensional Spiking Neuron Models." Neural Computation 23, no. 7 (2011): 1704–42. http://dx.doi.org/10.1162/neco_a_00141.

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Bidimensional spiking models are garnering a lot of attention for their simplicity and their ability to reproduce various spiking patterns of cortical neurons and are used particularly for large network simulations. These models describe the dynamics of the membrane potential by a nonlinear differential equation that blows up in finite time, coupled to a second equation for adaptation. Spikes are emitted when the membrane potential blows up or reaches a cutoff θ. The precise simulation of the spike times and of the adaptation variable is critical, for it governs the spike pattern produced and is hard to compute accurately because of the exploding nature of the system at the spike times. We thoroughly study the precision of fixed time-step integration schemes for this type of model and demonstrate that these methods produce systematic errors that are unbounded, as the cutoff value is increased, in the evaluation of the two crucial quantities: the spike time and the value of the adaptation variable at this time. Precise evaluation of these quantities therefore involves very small time steps and long simulation times. In order to achieve a fixed absolute precision in a reasonable computational time, we propose here a new algorithm to simulate these systems based on a variable integration step method that either integrates the original ordinary differential equation or the equation of the orbits in the phase plane, and compare this algorithm with fixed time-step Euler scheme and other more accurate simulation algorithms.
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36

Sugimoto, Tsuyoshi, and Youichi Watanabe. "Computer Simulation Evaluation of Carburized Helical Gear." Solid State Phenomena 118 (December 2006): 399–404. http://dx.doi.org/10.4028/www.scientific.net/ssp.118.399.

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Carburizing and quenching process conditions must be optimized to minimize quenching distortion and dispersion; this includes the parts racking design used for quenching. The racking positions of the gear determine the distortion of the tooth through the effect of the cooling condition on the surface. We analyzed gear tooth distortion on the carburizing-oil quenching process. The cooling dispersion at the gear surface was measured. The heat transfer coefficient was calculated by a design of experiment study, adaptive simulated annealing, and non-linear sequential programming on quadratic language using a cooling simulation model of the gear tooth under four quenching conditions. The coefficients were attached to the boundary condition of the gear model surface, and the gear distortion was investigated using a five-model simulation that used both a homogeneous model and the four heterogeneous surface cooling models. Evaluation of the differences in accuracy between these simulations showed that the shape accuracy in the heterogeneous simulations was better than in the homogeneous one. To calculate the distortion tendency accurately, we need to assign a detail cooling condition to the gear surface.
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37

Manz, David H. "PERFORMANCE EVALUATION OF IRRIGATION CONVEYANCE SYSTEMS USING DYNAMIC SIMULATION MODELS." Canadian Water Resources Journal 18, no. 4 (1993): 513–19. http://dx.doi.org/10.4296/cwrj1804513.

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38

Niu, Yang-Yao. "Evaluation of Renormalization Group Turbulence Models for Dynamic Stall Simulation." AIAA Journal 37, no. 6 (1999): 770–71. http://dx.doi.org/10.2514/2.788.

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39

Patil, Priyadarshan N., Subodh K. Dubey, Abdul R. Pinjari, Elisabetta Cherchi, Ricardo Daziano, and Chandra R. Bhat. "Simulation evaluation of emerging estimation techniques for multinomial probit models." Journal of Choice Modelling 23 (June 2017): 9–20. http://dx.doi.org/10.1016/j.jocm.2017.01.007.

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40

Duboc, Bastien, Guillaume Ribert, and Pascale Domingo. "Evaluation of chemistry models on methane/air edge flame simulation." Proceedings of the Combustion Institute 37, no. 2 (2019): 1691–98. http://dx.doi.org/10.1016/j.proci.2018.05.053.

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41

Davies, Ruth, Paul Roderick, and James Raftery. "The evaluation of disease prevention and treatment using simulation models." European Journal of Operational Research 150, no. 1 (2003): 53–66. http://dx.doi.org/10.1016/s0377-2217(02)00783-x.

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42

Farhangi, Mahsa, Omid Bozorg-Haddad, and Miguel A. Mariño. "Evaluation of simulation and optimisation models for WRP with PIs." Proceedings of the Institution of Civil Engineers - Water Management 165, no. 5 (2012): 265–76. http://dx.doi.org/10.1680/wama.10.00046.

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43

Aulmann, Maria, Maren März, Iwan A. Burgener, Michaele Alef, Sven Otto, and Christoph K. W. Mülling. "Development and Evaluation of Two Canine Low-Fidelity Simulation Models." Journal of Veterinary Medical Education 42, no. 2 (2015): 151–60. http://dx.doi.org/10.3138/jvme.1114-114r.

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44

Niu, Yang-Yao. "Evaluation of renormalization group turbulence models for dynamic stall simulation." AIAA Journal 37 (January 1999): 770–71. http://dx.doi.org/10.2514/3.14241.

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45

Soloveva, O. V., S. A. Solovev, and R. R. Khusainov. "Evaluation of the efficiency of prefilter models using numerical simulation." Journal of Physics: Conference Series 1399 (December 2019): 022059. http://dx.doi.org/10.1088/1742-6596/1399/2/022059.

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46

Joseph, K., and D. Raychaudhuri. "Simulation models for performance evaluation of satellite multiple access protocols." IEEE Journal on Selected Areas in Communications 6, no. 1 (1988): 210–22. http://dx.doi.org/10.1109/49.192744.

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47

Yang, Hui, Shilong Piao, Zhenzhong Zeng, et al. "Multicriteria evaluation of discharge simulation in Dynamic Global Vegetation Models." Journal of Geophysical Research: Atmospheres 120, no. 15 (2015): 7488–505. http://dx.doi.org/10.1002/2015jd023129.

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48

Bordelon, T. J., X. L. Wang, C. M. Maziar, and A. F. Tasch. "An evaluation of energy transport models for silicon device simulation." Solid-State Electronics 34, no. 6 (1991): 617–28. http://dx.doi.org/10.1016/0038-1101(91)90136-m.

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49

Goswami, P., and J. Baruah. "A Comparative Evaluation of a Mesoscale Model and Atmospheric Global Circulation Model for Air Quality Simulation: A Multiscale, Multisite Evaluation." ISRN Meteorology 2012 (August 30, 2012): 1–15. http://dx.doi.org/10.5402/2012/826074.

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Concentrations of atmospheric pollutants are strongly influenced by meteorological parameters like rainfall, relative humidity and wind advection. Thus accurate specifications of the meteorological fields, and their effects on pollutants, are critical requirements for successful modelling of air pollution. In terms of their applications, pollutant concentration models can be used in different ways; in one, short term high resolution forecasts are generated to predict and manage urban pollution. Another application of dynamical pollution models is to generate outlook for a given airbasin, such as over a large city. An important question is application-specific model configuration for the meteorological simulations. While a meso-scale model provides a high-resolution configuration, a global model allows better simulation of large-sale fields through its global environment. Our objective is to comparatively evaluate a meso-scale atmospheric model (MM5) and atmospheric global circulation model (AGCM) in simulating different species of pollutants over different airbasins. In this study we consider four locations: ITO (Central Delhi), Sirifort (South Delhi), Bandra (Mumbai) and Karve Road (Pune). The results show that both the model configurations provide comparable skills in simulation of monthly and annual loads, although the skill of the meso-scale model is somewhat higher, especially at shorter time scales.
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50

Lamé, Guillaume, and Rebecca K. Simmons. "From behavioural simulation to computer models: how simulation can be used to improve healthcare management and policy." BMJ Simulation and Technology Enhanced Learning 6, no. 2 (2018): 95–102. http://dx.doi.org/10.1136/bmjstel-2018-000377.

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Simulation is a technique that evokes or replicates substantial aspects of the real world, in order to experiment with a simplified imitation of an operations system, for the purpose of better understanding and/or improving that system. Simulation provides a safe environment for investigating individual and organisational behaviour and a risk-free testbed for new policies and procedures. Therefore, it can complement or replace direct field observations and trial-and-error approaches, which can be time consuming, costly and difficult to carry out. However, simulation has low adoption as a research and improvement tool in healthcare management and policy-making. The literature on simulation in these fields is dispersed across different disciplinary traditions and typically focuses on a single simulation method. In this article, we examine how simulation can be used to investigate, understand and improve management and policy-making in healthcare organisations. We develop the rationale for using simulation and provide an integrative overview of existing approaches, using examples of in vivo behavioural simulations involving live participants, pure in silico computer simulations and intermediate approaches (virtual simulation) where human participants interact with computer simulations of health organisations. We also discuss the combination of these approaches to organisational simulation and the evaluation of simulation-based interventions.
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