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Journal articles on the topic 'Temperature modelling'

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Published: 4 June 2021
Last updated: 2 February 2022

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1

Mills, Terence C. "Modelling Current Temperature Trends." Journal of Data Science 7, no. 1 (July 10, 2021): 89–97. http://dx.doi.org/10.6339/jds.2009.07(1).436.

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2

Marsh, Philip. "Modelling water temperature beneath river ice covers." Canadian Journal of Civil Engineering 17, no. 1 (February 1, 1990): 36–44. http://dx.doi.org/10.1139/l90-006.

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The water temperature beneath river ice covers has an important influence on the heat flux to the overlying ice cover and on ice melt. Measurements of water temperature beneath the Liard River ice cover showed that prior to spring breakup, the water temperature was always between 0.0 and 0.025 °C, with important cross-channel and diurnal variations. The lowest temperatures were controlled by the bed heat flux and frictional heating, while variations above these minimum values were explained by changes in solar radiation. Using measurements of these heat fluxes, in conjunction with measurements of ice and bed roughness, water depth and velocity, and slope, a simple method which assumes the similarity between heat and momentum transfer was able to accurately predict water temperatures beneath the ice cover. During breakup when the river had both ice-free and ice-covered sections, water temperatures rose to a few degrees above 0 °C. When this water entered an ice-covered reach, the water temperature declined rapidly to near 0 °C within 10 km. This temperature decay was predicted from measurements of the initial temperature, ice and bed roughness, and water depth. Key words: water temperature, ice, thermal regime, ice melt.
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3

Darus, Mukminah, and Che Mohd Imran Che Taib. "Temperature modelling and pricing of temperature index insurance." Japan Journal of Industrial and Applied Mathematics 36, no. 3 (June 15, 2019): 791–808. http://dx.doi.org/10.1007/s13160-019-00372-4.

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4

Benth, Fred Espen, and Jūratė Šaltytė Benth. "Weather Derivatives and Stochastic Modelling of Temperature." International Journal of Stochastic Analysis 2011 (July 14, 2011): 1–21. http://dx.doi.org/10.1155/2011/576791.

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We propose a continuous-time autoregressive model for the temperature dynamics with volatility being the product of a seasonal function and a stochastic process. We use the Barndorff-Nielsen and Shephard model for the stochastic volatility. The proposed temperature dynamics is flexible enough to model temperature data accurately, and at the same time being analytically tractable. Futures prices for commonly traded contracts at the Chicago Mercantile Exchange on indices like cooling- and heating-degree days and cumulative average temperatures are computed, as well as option prices on them.
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5

Bhargava, B. L., Sundaram Balasubramanian, and Michael L. Klein. "Modelling room temperature ionic liquids." Chemical Communications, no. 29 (2008): 3339. http://dx.doi.org/10.1039/b805384g.

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6

Rombough, Peter. "Modelling developmental time and temperature." Nature 424, no. 6946 (July 2003): 268–69. http://dx.doi.org/10.1038/424268a.

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7

Koch, Hans, and Charles Radin. "Modelling Quasicrystals at Positive Temperature." Journal of Statistical Physics 138, no. 1-3 (December 3, 2009): 465–75. http://dx.doi.org/10.1007/s10955-009-9896-9.

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8

Bilitza, D., L. H. Brace, and R. F. Theis. "Modelling of ionospheric temperature profiles." Advances in Space Research 5, no. 7 (January 1985): 53–58. http://dx.doi.org/10.1016/0273-1177(85)90356-4.

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9

Graham, J., N. Tanaka, T. Crilly, and M. Alfaro. "Modified Cam-Clay modelling of temperature effects in clays." Canadian Geotechnical Journal 38, no. 3 (June 1, 2001): 608–21. http://dx.doi.org/10.1139/t00-125.

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The Cam-Clay model for isothermal mechanical behaviour of clays has been extended to take account of the effects of temperature on stress–strain behaviour. The assumptions used in constructing the new model are based on published results and on new data presented in the paper. The model allows prediction of how heating and cooling affect volume changes, pore-water pressures, and strengths for both normally consolidated and overconsolidated saturated clays. It permits modelling of observed reductions in the overconsolidation ratio with increasing temperature. The model provides accessible qualitative explanations for temperature effects that were previously difficult to understand. It will also allow easy implementation for quantitative modelling in triaxial stress fields. Results predicted by the model are compared with data collected by the authors at temperatures up to 100°C. The model does not account for changes that occur in clay minerals at higher temperatures, for example, in bentonites at temperatures higher than about 150°C.Key words: clay, triaxial, temperature, modelling, elastic–plastic, Cam-Clay.
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10

PAWLAK, Mariusz, and Cezary BOCIANIAK. "Modelling of Control Systems for Superheated Steam Temperature." AUTOMATYKA, ELEKTRYKA, ZAKLOCENIA 11, no. 1(39)2020 (March 31, 2020): 22–30. http://dx.doi.org/10.17274/aez.2020.39.02.

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11

Lehotová, Veronika, Karla Miháliková, Alžbeta Medveďová, and Ľubomír Valík. "Modelling the inactivation of Staphylococcus aureusat moderate heating temperatures." Czech Journal of Food Sciences 39, No. 1 (February 26, 2021): 42–48. http://dx.doi.org/10.17221/201/2020-cjfs.

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The survival of bacterial contaminants at moderate processing temperatures is of interest to many food producers, especially in terms of the safety and quality of the final products. That is why the heat resistance of Staphylococcus aureus 2064, an isolate from artisanal Slovakian cheese, was studied in the moderate temperature range (57–61 °C) by the capillary method. The fourth decimal reduction time t<sub>4D</sub>- and z-values were estimated in two steps by traditional log-linear Bigelow and non-linear Weibull models. In addition, a one-step fitting procedure using the Weibull model was also applied. All the approaches provided comparable t<sub>4D</sub>-values resulting in the following z-values of 11.8 °C, 12.3 °C and 11.3 °C, respectively. Moreover, the one-step approach takes all the primary data into z-value calculation at once, thus providing a more representative output at the reasonable high coefficient of determination R<sub>2</sub> = 0.961
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12

Gavrysh, V. I. "Modelling the temperature conditions in three-dimensional piecewise homogeneous elements for microelectronic devices." Semiconductor Physics Quantum Electronics and Optoelectronics 14, no. 4 (December 5, 2011): 478–81. http://dx.doi.org/10.15407/spqeo14.04.478.

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13

Bonté, D., J. D. van Wees, and J. M. Verweij. "Subsurface temperature of the onshore Netherlands: new temperature dataset and modelling." Netherlands Journal of Geosciences - Geologie en Mijnbouw 91, no. 4 (December 2012): 491–515. http://dx.doi.org/10.1017/s0016774600000354.

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AbstractSubsurface temperature is a key parameter for geothermal energy prospection in sedimentary basins. Here, we present the results of a 3D temperature modelling using a thermal-tectonic forward modelling method, calibrated with subsurface temperature measurements in the Netherlands. The first step involves the generation of a coherent dataset of temperature values for the calibration of the model. In the Netherlands, most of the available measurements (98.8%) are BHT measurements and therefore need to be corrected from the thermal perturbation created during drilling. The remaining 1.2% is composed of DST measurements, which closely resemble the formation temperature (i.e., ±5 °C). The resulting dataset, after correction, gives a total number of 1293 values in 454 wells. Included in this dataset are 412 highly reliable values corrected with the Instantaneous Cylinder Source (ICS) method and 829 values of a lower reliability corrected with the AAPG method. In addition to the corrected values, 52 DST values in 26 wells are available from the Dutch subsurface. The average thermal gradient of this whole dataset is 31.3 °C/km with a surface temperature of 10.1 °C. The second step in the modelling process was the generation of a 3D forward model that focuses on calculating the temperature distribution of the sedimentary basin fill, taking into account the basin evolution of the past 20 Myrs and thermal properties and processes of the whole lithosphere. From the 3D thermal model, we extracted 2D cross sections across well locations to compare model temperatures with calibration data. Furthermore, we present vertical profiles, isodepth maps and temperature projection on geological layers, to discuss the relationship between temperature and geology. Anomalies in this relationship can have several causes and include: 1) the extreme thermal conductivity and complex geometry of the Zechstein salt; 2) enhanced radiogenic heat production of the upper crust due to magmatic intrusions. In addition, our model supports earlier findings that shallow hydrothermal convection in highly permeable sediments can effectively lower thermal conductivity and temperatures in shallow sediments.
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14

Xing, Zhangfan, and Martha S. Hanner. "Modelling the Temperature of Cometary Particles." International Astronomical Union Colloquium 150 (1996): 437–41. http://dx.doi.org/10.1017/s0252921100502000.

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AbstractWe use the DDA method to study scattering properties of aggregates. Based on this aggregate model, the temperatures of cometary dust particles will be close to those of the equivalent total volume sphere when the aggregate porosity is ≤ 0.64.
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15

Sudreau, F., and G. Cognet. "Corium viscosity modelling above liquidus temperature." Nuclear Engineering and Design 178, no. 3 (December 1997): 269–77. http://dx.doi.org/10.1016/s0029-5493(97)00137-4.

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16

Skelton, R. P., and J. B. Marriott. "High Temperature Materials — Modelling Service Behaviour." High Temperature Technology 3, no. 4 (November 1985): 225–26. http://dx.doi.org/10.1080/02619180.1985.11753306.

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17

Lakner, G., J. Lakner, G. Racz, and M. Kłos. "Temperature dependence modelling of reverse osmosis." DESALINATION AND WATER TREATMENT 192 (2020): 431–36. http://dx.doi.org/10.5004/dwt.2020.25803.

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18

Mills, Terence C. "Semi-parametric modelling of temperature records." Journal of Applied Statistics 39, no. 2 (February 2012): 361–83. http://dx.doi.org/10.1080/02664763.2011.590190.

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19

Cao, Xiaofeng, Ostap Okhrin, Martin Odening, and Matthias Ritter. "Modelling spatio-temporal variability of temperature." Computational Statistics 30, no. 3 (February 10, 2015): 745–66. http://dx.doi.org/10.1007/s00180-015-0561-2.

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20

Withers, C. S., D. P. Krouse, C. P. Pearson, and S. Nadarajah. "Modelling Temperature Trends in New Zealand." Environmental Modeling & Assessment 14, no. 2 (November 14, 2007): 231–49. http://dx.doi.org/10.1007/s10666-007-9126-2.

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21

Dutt, D. K., S. N. Rai, and G. N. Tiwari. "Thermal modelling of high temperature distillation." Energy Conversion and Management 28, no. 2 (January 1988): 151–59. http://dx.doi.org/10.1016/0196-8904(88)90041-6.

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22

Ribani, P. L., A. Cristofolini, M. Fabbri, P. La Cascia, and F. Negrini. "Modelling of high-temperature superconducting bearings." Il Nuovo Cimento D 19, no. 8-9 (August 1997): 1483–88. http://dx.doi.org/10.1007/bf03185451.

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23

Laffez, Philippe. "Temperature modelling of an oil well." Mathematical and Computer Modelling 17, no. 1 (January 1993): 3–12. http://dx.doi.org/10.1016/0895-7177(93)90086-e.

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24

Etzelmüller, B., T. V. Schuler, K. Isaksen, H. H. Christiansen, H. Farbrot, and R. Benestad. "Modelling past and future permafrost conditions in Svalbard." Cryosphere Discussions 4, no. 4 (October 4, 2010): 1877–908. http://dx.doi.org/10.5194/tcd-4-1877-2010.

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Abstract. Variations in ground thermal conditions in Svalbard were studied based on measurements and theoretical calculations. Ground temperature data was used to calibrate a transient heat flow model describing depth and time variations in temperatures. The model was subsequently forced with historical surface air temperature data records and downscaled global climate model runs to project ground temperatures. We discuss ground temperature development since the early 20th century, and the thermal responses in relation to ground characteristics and snow cover. The modelled ground temperatures show a gradually increase since the end of the Little Ice Age (mid 19th century on Svalbard), by about 1.5 °C to 2 °C at 20 m depth. The active layer thickness (ALT) is modelled to have increased slightly, with the rate of increase depending on water content of the near-surface layers. The used scenario runs predict a significant increase in ground temperatures and an increase of ALT depending on soil characteristics.
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25

Михайлова, Ірина Юріївна. "Modelling of temperature field with physical characteristics dependence on temperature." Technology audit and production reserves 5, no. 4(13) (October 28, 2013): 12–15. http://dx.doi.org/10.15587/2312-8372.2013.18218.

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26

Xiao, Yongshun. "Modelling temperature-dependency in biology by generalizing temperature coefficient Q10." Ecological Modelling 127, no. 2-3 (March 2000): 283–90. http://dx.doi.org/10.1016/s0304-3800(99)00218-5.

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27

Taib, Che Mohd Imran Che, and Mukminah Darus. "Spatial-Temporal Modelling of Temperature for Pricing Temperature Index Insurance." Asia-Pacific Financial Markets 26, no. 1 (November 13, 2018): 87–106. http://dx.doi.org/10.1007/s10690-018-9259-0.

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28

Záležák, Tomáš, and Antonín Dlouhý. "3D Discrete Dislocation Modelling of High Temperature Plasticity." Key Engineering Materials 465 (January 2011): 115–18. http://dx.doi.org/10.4028/www.scientific.net/kem.465.115.

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A 3D model is presented that addresses an evolution of flexible dislocation lines at high temperatures. The model is based on the linear theory of elasticity. A smooth dislocation line is approximated by a piecewise curve composed of short straight dislocation segments. Each dislocation segment is acted upon by a Peach-Koehler force due to a local stress field. All segment-segment interactions as well as an externally applied stress are considered. A segment mobility is proportional to the Peach-Koehler force, temperature-dependent factors control climb and glide motion of the segments. The potential of the model is demonstrated in simulations of simple high temperature processes including interactions of dislocations with secondary particles.
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29

Gerber, J. D., M. A. Benecke, F. J. Vorster, and E. E. Van Dyk. "Thermal modelling of low concentrator photovoltaic systems." Journal of Energy in Southern Africa 24, no. 1 (February 1, 2013): 51–55. http://dx.doi.org/10.17159/2413-3051/2013/v24i1a3007.

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Efficient thermal management of low concentrator photovoltaic (LCPV) systems will allow maximizing of the power output and may also substantially prolong operating lifetime. For this reason, it is necessary to develop a thorough understanding of the thermal transfer and dissipation mechanisms associated with an LCPV system. The LCPV system under consideration uses a 7-facet reflector optical design, providing a geometric concentration ratio of approximately 4.85. The LCPV system succeeded in increasing the short circuit current from 1A to 5.6A, demonstrating an effective concentration ratio of approximately 4.75. LCPV system temperatures in excess of 80°C were recorded without a thermal management system. A basic thermal model was developed and assessed under various environmental conditions. The effectiveness of a heat-sink, which reduced the temperature difference between the LCPV receiver temperature and the ambient temperature by 37.5%, was also evaluated. The results discussed in this paper will assist the future development of techniques aimed at reducing the high temperatures associated with LCPV systems.
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30

Dahl-Jensen, Dorthe, Vin I. Morgan, and Alan Elcheikh. "Monte Carlo inverse modelling of the Law Dome (Antarctica) temperature profile." Annals of Glaciology 29 (1999): 145–50. http://dx.doi.org/10.3189/172756499781821102.

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AbstractThe temperature profile in the 1200 m deep Dome Summit South (DSS) borehole near the summit of Law Dome, Antarctica, was measured in 1996, 3 years after the termination of the deep drilling.The temperature profile contains information on past surface temperature over the last 4ka. This temperature history is determined by the use of a Monte Carlo inverse method in which no constraints are placed on the unknown temperature history and no solution is assumed to be unique. The temperature history is obtained from a selection of equally well-fitting solutions by a statistical treatment.The results show that solutions covering the last 4ka have a well-developed central value, a most likely temperature history. The temperature record has two well-developed minima at AD 1250 and 1850. From 1850 to the present, temperatures have gradually increased by 0.7 K. The reconstructed temperatures are compared with the stable oxygen isotope (δ18O) from the DSS ice core.
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31

Chang, Yi-Jay, Chi-Lu Sun, Yong Chen, Yuying Zhang, and Su-Zan Yeh. "Incorporating climate changes into population dynamic modelling: an individual-based modelling approach for lobster." Canadian Journal of Fisheries and Aquatic Sciences 68, no. 1 (January 2011): 122–36. http://dx.doi.org/10.1139/f10-148.

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One of the most challenging issues in fisheries management is the evaluation of the effects of fishing in the context of a changing environment. Using the pronghorn spiny lobster ( Panulirus penicillatus ) fishery off the eastern coast of Taiwan as an example, we developed an individual-based model (IBM) that is capable of describing the temperature-dependent life history processes and fishery practices for the spiny lobster. We then used the model to evaluate potential impacts of increased ocean temperature on the estimation of mortality-based biological reference points for fisheries management. We demonstrate that a warming temperature would increase the yield-per-recruit and eggs-per-recruit values and consequently reduce the risk of overexploitation under the current exploitation level. However, there is likely a high risk of overexploitation in the long term if higher temperatures induce extra-high natural mortality. The evaluation of effectiveness of size regulations suggests that increasing minimum legal size is proposed as a good candidate measure to reduce the risk of overexploitation for pessimistically unfavorable environmental conditions. This study suggests that an explicit incorporation of the relationships between environmental variables and biological processes can greatly improve fisheries assessment and management.
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32

Bachelart, Julie, Cécile Hort, Vincent Platel, and Laurent Moynault. "Modelling Sewage Sludge Composting in WWTP: Influence of Meteorological Conditions." International Journal of Environmental Science and Development 11, no. 12 (2020): 535–39. http://dx.doi.org/10.18178/ijesd.2020.11.12.1304.

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This work presents the 2D modelling of a fermenting step during composting of a sewage sludge/bark mixture at the Aureilhan (France) WWTP. For this study the temporal evolution of the temperature has been studied because it is the composting key parameter, especially for achieving the compost sanitization. Thus, the modelling results have been compared with experimental results. Fermenting windrows are being subject to weather conditions, we took into account the temperature and humidity of the outside air in the model as boundary conditions. Results indicated that the model is consistent with windrow A but differed from the experimental results for windrow B. The weather conditions had a strong impact on the temperature profile during fermentation, especially the maximum temperature. Indeed, the maximum temperatures did not exceed 35°C for windrow A (winter) while they were around 50°C for windrow B (summer). On the other hand, the temperature rise in the windrows was faster for the experimental measurements than for the modelled results. Finally, the experimental and modelling results showed that the warmest temperatures were towards the center of the windrow. This trend is consistent with the suction aeration system.
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33

Китаев, Д. Н., А. Т. Курносов, З. С. Гасанов, and С. О. Харин. "MODELLING ANNUAL WATER TEMPERATURES IN HEAT NETWORKS." НАУЧНЫЙ ЖУРНАЛ СТРОИТЕЛЬСТВА И АРХИТЕКТУРЫ, no. 4(60) (December 29, 2020): 43–50. http://dx.doi.org/10.36622/vstu.2020.60.4.004.

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Состояние проблемы. При проведении проектных расчетов тепловых сетей (в частности, расчетов толщины теплоизоляционных конструкций, удлинений при тепловом расширении, нормативных потерь при транспортировке тепловой энергии) потребителю часто приходится пользоваться проектными значениями среднегодовых температур теплоносителя, указанными в зависимости от проектного температурного графика в современных нормативах[18,24]. По мнению ряда исследователей, рекомендуемые значения среднегодовых температур теплоносителя не учитывают климатологические характеристики, и их использование может приводить к значительным ошибкам[1-3]. Кроме того, за последние несколько лет значения рекомендуемых температур изменились, и наблюдается противоречие в нормативах. В настоящее время отсутствуют обоснованные значения проектных среднегодовых температур теплоносителя в тепловой сети, учитывающие климатологические данные. Результаты. Для проектных температурных графиков центрального качественного регулирования 95/70-150/70 для населенных пунктов территории центрального федерального округа, представленных в последней редакции строительной климатологии, определены значения среднегодовых температур воды в подающей магистрали тепловой сети. Получены осредненные значения температур для рассмотренных температурных графиков. Выводы. Для большинства температурных графиков установлены значительные расхождения между полученными расчетными значениями среднегодовых температур воды в тепловой сети и рекомендуемыми СП «Тепловые сети» последней редакции. Максимальная разница наблюдается для графика 150/70 и составляет 12°С. Statement of the problem. When carrying out design calculations of heating networks, in particular, calculating the thickness of thermal insulation structures, thermal elongations during thermal expansion, standard losses during the transportation of thermal energy to the consumer, it is often necessary to use the design values of the average annual temperatures of the coolant indicated depending on the design temperature schedule in modern standards [18, 24]. According to a number of researchers, the recommended values of average annual coolant temperatures do not take into account climatological characteristics and their use can lead to significant errors [1-3]. In addition, recommended temperatures have changed over the past few years and there has been a contradiction in regulations. Currently, there are no substantiated values of the design average annual temperatures of the heat carrier in the heating network taking into account climatological data. Results. For the design temperatures of the temperature graphs of the central quality regulation 95/70-150/70 for the settlements of the territory of the central federal district presented in the latest edition of building climatology the values of the average annual water temperatures in the supply line of the heating network have been determined. The averaged values of temperatures for the considered temperature graphs are obtained. Conclusions. For most of the temperature graphs, significant discrepancies have been established between the calculated values of the average annual water temperatures in the heating network and those recommended by the JV “Heating Networks” of the latest edition. The maximum difference is observed for the 150/70 graph and is 12°C.
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34

Myszograj, Sylwia, and Magdalena Wojciech. "Mathematical modelling of waste activated sludge thermal disintegration." ITM Web of Conferences 23 (2018): 00027. http://dx.doi.org/10.1051/itmconf/20182300027.

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Chemical Oxygen Demand (COD) solubilisation was used to evaluate the impact of thermal pretreatment on the transfer of sewage sludge from particulate to soluble phase. It was gathering the experimental data needed for building of empirical mathematical model describing the relation between applied temperature and time and rate of COD solubilisation and degradation. In view of repeated measurements, in order to describe the relationship between changes in the fraction of dissolved COD and the time and temperature, mixed models have been adopted where by fixed factor measurement conditions have been adopted: time and temperature, while the random factor changes the characteristics of waste activated sludge. Linear and logistic nonlinear mixed models were analyzed. The tests demonstrated that all variables are statistically significant in assessing their impact on the efficiency of liquefaction of sludge. On the basis of the estimated model, the temperature rise of 10°C increases degree of disintegration 1.7% above the average treatment time for 0.5h, by 2.6% for 1 hour, and by 3.9% for 2h. COD values decrease between 3 to 23% at temperatures in the range of 55 to 115°C. At higher temperatures COD was reduced in the range of 32 to 44%. Disintegration time did not have the significant impact on the degradation effect.
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35

Virdikar, Ashna, Devarshi Upadhyay, Ashutosh Yadav, and Dr Saurav Mitra. "FRACTIONAL ORDER MODELLING FOR DIFFERENT TEMPERATURE PROCESSES." ASIAN JOURNAL OF CONVERGENCE IN TECHNOLOGY 05, no. 01 (April 16, 2019): 1–4. http://dx.doi.org/10.33130/ajct.2019v05i01.001.

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36

El-Sharkawy, Alaa, Amr Sami, Abd El-Rahman Hekal, Dipan Arora, and Masuma Khandaker. "Transient Modelling of Vehicle Exhaust Surface Temperature." SAE International Journal of Materials and Manufacturing 9, no. 2 (April 5, 2016): 321–29. http://dx.doi.org/10.4271/2016-01-0280.

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37

Larsen, Rolf U. "PLANT GROWTH MODELLING BY LIGHT AND TEMPERATURE." Acta Horticulturae, no. 272 (July 1990): 235–42. http://dx.doi.org/10.17660/actahortic.1990.272.34.

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38

Olivier, Pierre, Cyril Bourasseau, and Pr Belkacem Bouamama. "Low-temperature electrolysis system modelling: A review." Renewable and Sustainable Energy Reviews 78 (October 2017): 280–300. http://dx.doi.org/10.1016/j.rser.2017.03.099.

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39

Opara, Karol, and Jan Zieliński. "ROAD TEMPERATURE MODELLING WITHOUT IN-SITU SENSORS." Baltic Journal of Road and Bridge Engineering 12, no. 4 (December 13, 2017): 241–47. http://dx.doi.org/10.3846/bjrbe.2017.30.

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Modelling of the pavement temperature facilitates winter road maintenance. It is used for predicting the glaze formation and for scheduling the spraying of the de-icing brine. The road weather is commonly forecasted by solving the energy balance equations. It requires setting the initial vertical profile of the pavement temperature, which is often obtained from the Road Weather Information Stations. The paper proposes the use of average air temperature from seven preceding days as a pseudo-observation of the subsurface temperature. Next, the road weather model is run with a few days offset. It first uses the recent, historical weather data and then the available forecasts. This approach exploits the fact that the energy balance models tend to “forget” their initial conditions and converge to the baseline solution. The experimental verification was conducted using the Model of the Environment and Temperature of Roads and the data from a road weather station in Warsaw over a period of two years. The additional forecast error introduced by the proposed pseudo-observational initialization averages 1.2 °C in the first prediction hour and then decreases in time. The paper also discusses the use of Digital Surface Models to take into account the shading effects, which are an essential source of forecast errors in urban areas. Limiting the use of in-situ sensors opens a perspective for an economical, largescale implementation of road meteorological models.
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40

Pal, Satyabrata, and Arunava Ghosh. "Global annual average temperature – a precise modelling." Biometrical Letters 51, no. 1 (June 1, 2014): 37–44. http://dx.doi.org/10.2478/bile-2014-0003.

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SUMMARY Global annual average temperature (GAAT) is regarded as a precise indicator of the warming of the globe over the centuries, and its spectre is looming large with the passage of time and with the advancement of civilization. Global warming, caused by the accumulation of greenhouse gases in the atmosphere, has become the worst environmental threat to mankind. The phase 1981 to 2012 was the most crucial phase, and the impact of global warming in that phase indeed points to a disaster if not controlled now. Work on the building of appropriate models to represent the GAAT data can be found in the literature, although the precision levels (in terms of R2 values) of such models do not exceed 0.86. In this paper, six models are developed by using different combinations of mathematical functions. The developed models are superior to existing models in terms of their precision. In fact, to generate such models, extensive simulation work has been carried out not only with respect to the types of mathematical functions, but also with respect to the choices of initial values of the coefficients involved in each model. The models developed here have attained R2 values as high as 0.896.
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41

Zuritz, C. A., and R. P. Singh. "Modelling temperature fluctuations in stored frozen foods." International Journal of Refrigeration 8, no. 5 (September 1985): 289–93. http://dx.doi.org/10.1016/0140-7007(85)90008-8.

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42

Szöke, Sz, V. Wertz, and E. Persoons. "Outdoor Temperature Modelling for Grain Cooling Control." IFAC Proceedings Volumes 28, no. 6 (June 1995): 47–51. http://dx.doi.org/10.1016/s1474-6670(17)47159-x.

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Bertini, Ilaria, Francesco Ceravolo, Marco Citterio, Matteo De Felice, Biagio Di Pietra, Francesca Margiotta, Stefano Pizzuti, and Giovanni Puglisi. "Ambient temperature modelling with soft computing techniques." Solar Energy 84, no. 7 (July 2010): 1264–72. http://dx.doi.org/10.1016/j.solener.2010.04.003.

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44

Tewkesbury, H., A. G. F. Stapley, and P. J. Fryer. "Modelling temperature distributions in cooling chocolate moulds." Chemical Engineering Science 55, no. 16 (August 2000): 3123–32. http://dx.doi.org/10.1016/s0009-2509(99)00578-3.

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Moerman, A., M. Blokker, J. Vreeburg, and J. P. van der Hoek. "Drinking Water Temperature Modelling in Domestic Systems." Procedia Engineering 89 (2014): 143–50. http://dx.doi.org/10.1016/j.proeng.2014.11.170.

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Guo, Bao-Yu, Ding Yang, Yin-Biao Su, and A. B. Yu. "Process modelling of low temperature electrostatic precipitators." Powder Technology 314 (June 2017): 567–76. http://dx.doi.org/10.1016/j.powtec.2016.09.071.

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Bessonov, N., J. A. Pojman, and V. Volpert. "Modelling of Diffuse Interfaces with Temperature Gradients." Journal of Engineering Mathematics 49, no. 4 (August 2004): 321–38. http://dx.doi.org/10.1023/b:engi.0000032668.19038.4d.

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Liani, B., R. Benallal, and Z. Bentalha. "Modelling of a Multi-Temperature Plasma Composition." Chinese Physics Letters 22, no. 12 (November 28, 2005): 3119–22. http://dx.doi.org/10.1088/0256-307x/22/12/038.

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Hock, Regine. "Temperature index melt modelling in mountain areas." Journal of Hydrology 282, no. 1-4 (November 2003): 104–15. http://dx.doi.org/10.1016/s0022-1694(03)00257-9.

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Warczok, A., and T. A. Utigard. "Low Temperature Physical Modelling of Slag Foaming." Canadian Metallurgical Quarterly 33, no. 3 (July 1994): 205–15. http://dx.doi.org/10.1179/cmq.1994.33.3.205.

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