Relevant bibliographies by topics / Thermal network model

Contents

  1. Journal articles
  2. Dissertations / Theses
  3. Books
  4. Book chapters
  5. Conference papers
  6. Reports

Academic literature on the topic 'Thermal network model'

Author: Grafiati
Published: 3 June 2025
Last updated: 31 July 2025

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Journal articles on the topic "Thermal network model"

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Hijazi, Alaa, Paul Kreczanik, Eric Bideaux, Pascal Venet, Guy Clerc, and Michael Di Loreto. "Thermal Network Model of Supercapacitors Stack." IEEE Transactions on Industrial Electronics 59, no. 2 (2012): 979–87. http://dx.doi.org/10.1109/tie.2011.2158769.

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Azizian, Davood, and Mehdi Bigdeli. "A new cast-resin transformer thermal model based on recurrent neural networks." Archives of Electrical Engineering 66, no. 1 (2017): 17–28. http://dx.doi.org/10.1515/aee-2017-0002.

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Abstract Thermal modeling in the transient condition is very important for cast-resin dry-type transformers. In the present research, two novel dynamic thermal models have been introduced for the cast-resin dry-type transformer. These models are based on two artificial neural networks: the Elman recurrent networks (ELRN) and the nonlinear autoregressive model process with exogenous input (NARX). Using the experimental data, the introduced neural network thermal models have been trained. By selecting a typical transformer, the trained thermal models are validated using additional experimental r
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Guo, Qian Jian, and X. N. Qi. "Research on Thermal Error Modeling of NC Machine Tool Based on BP Neural Networks." Materials Science Forum 626-627 (August 2009): 135–40. http://dx.doi.org/10.4028/www.scientific.net/msf.626-627.135.

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Through analysis of the thermal errors affected NC machine tool, a new prediction model based on BP neural networks is presented, and ant colony algorithm is applied to train the weights of neural network model. Finally, thermal error compensation experiment is implemented, and the thermal error is reduced from 35μm to 6μm. The result shows that the local minimum problem of BP neural network is overcome, and the model accuracy is improved.
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Li, Ming, and Jin Ye. "Fractional Order Modeling of Thermal Circuits for an Integrated Energy System Based on Natural Transformation." Electronics 11, no. 6 (2022): 914. http://dx.doi.org/10.3390/electronics11060914.

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With the development of the economy, energy systems have become the focus of academia and industry. The integrated energy system formed by electricity, gas, and heat networks can improve the utilization efficiency of energy. Heating networks in integrated energy systems play an important role. The consideration of the dynamic characteristics of the heating network can improve the flexibility of the system and reduce the operation cost of the system. In this paper, a thermal circuit model is derived for the heating network from an electrical-analog perspective. Based on the thermal circuit mode
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Pozevalkin, V. V., and A. N. Polyakov. "Application of the digital model thermal errors of machine tools in automated production." Journal of Physics: Conference Series 2094, no. 4 (2021): 042022. http://dx.doi.org/10.1088/1742-6596/2094/4/042022.

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Abstract The article presents a predicting method for a machine tool thermal error based on a nonlinear autoregressive neural network with an external input, as well as methods for smoothing experimental data obtained from measuring devices by approximation using polynomial regression and the gray systems theory. The development of accurate and robust thermal models is a critical step in achieving high productivity in thermal deformation reduction techniques on machine tools. Because thermal deformations of the machine structure caused by temperature increase often lead to thermal errors and r
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Kim, Kwanyong, Seong Jun Yoon, and Woo Young Choi. "Dual random circuit breaker network model with equivalent thermal circuit network." Applied Physics Express 7, no. 2 (2014): 024203. http://dx.doi.org/10.7567/apex.7.024203.

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Alharbi, Ali Y., Deborah V. Pence, and Rebecca N. Cullion. "Thermal Characteristics of Microscale Fractal-Like Branching Channels." Journal of Heat Transfer 126, no. 5 (2004): 744–52. http://dx.doi.org/10.1115/1.1795236.

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Heat transfer through a fractal-like branching flow network is investigated using a three-dimensional computational fluid dynamics approach. Results are used for the purpose of assessing the validity of, and providing insight for improving, assumptions imposed in a previously developed one-dimensional model for predicting wall temperature distributions through fractal-like flow networks. As currently modeled, the one-dimensional code fairly well predicts the general wall temperature trend simulated by the three-dimensional model; hence, demonstrating its suitability as a tool for design of fra
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Wang, Pengyuan, Xinjian Wang, and Yunpeng Wang. "End-to-End Differentiable Physics Temperature Estimation for Permanent Magnet Synchronous Motor." World Electric Vehicle Journal 15, no. 4 (2024): 174. http://dx.doi.org/10.3390/wevj15040174.

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Differentiable physics is an approach that effectively combines physical models with deep learning, providing valuable information about physical systems during the training process of neural networks. This integration enhances the generalization ability and ensures better consistency with physical principles. In this work, we propose a framework for estimating the temperature of a permanent magnet synchronous motor by combining neural networks with the differentiable physical thermal model, as well as utilizing the simulation results. In detail, we first implement a differentiable thermal mod
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Gerstenmaier, Y. C., H. Pape, and G. Wachutka. "Rigorous model and network for static thermal problems." Microelectronics Journal 33, no. 9 (2002): 711–18. http://dx.doi.org/10.1016/s0026-2692(02)00054-x.

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Gerstenmaier, Y. C., and G. Wachutka. "Rigorous model and network for transient thermal problems." Microelectronics Journal 33, no. 9 (2002): 719–25. http://dx.doi.org/10.1016/s0026-2692(02)00055-1.

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Dissertations / Theses on the topic "Thermal network model"

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Sikora, Martin. "Elektro-termální model a simulace integrovaného obvodu." Master's thesis, Vysoké učení technické v Brně. Fakulta elektrotechniky a komunikačních technologií, 2020. http://www.nusl.cz/ntk/nusl-413228.

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Thermal effects in integrated circuits have increasing impact on chip's lifetime and function. For this reason, the chips must be subjected to electro-thermal simulations prior to the launch of production in order to avoid potential circuit failures. Therefore, in the first part of this diploma thesis these effects and methods of creating thermal models are described. The thesis also explores available tools for electro-thermal simulations and the way these simulators work. In the practical part of the thesis, the operation of electro-thermal simulation in the Eldo tool is verified, a method o
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JACONELLI, LIVIO, and PALM KIM JACONELLI. "A THERMAL NETWORK MODEL FOR AN EVAPORATIVE COOLING SYSTEM COMBINED WITH A SOLAR CHIMNEY." Thesis, KTH, Energiteknik, 2016. http://urn.kb.se/resolve?urn=urn:nbn:se:kth:diva-192670.

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Syftet med denna studie är att, genom termiskt nätverksmodellering för kombinerad värme och massöverföring, undersöka möjligheten att integrera en solskorsten med en evaporationskyl. Avsikten är att potentiellt öka luftflödet runt kylen samt dess kylförmåga. Jämviktstillstånd samt transienta förlopp simuleras med hjälp av mjukvaruprogrammet MATLAB. Utfallet av studien indikerar att föreslagna tillämpningsområdet för solskorstenen ökar kylpotentialen för evaporationskylen. Solskorstenen kan generera ett tillräckligt luftflöde på mer än 0.5 m/s. Med en omgivningstemperatur på 30 C°, luftfuktighe
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Turschwell, Mischa Peter. "Thermal and Habitat Characteristics of a Headwater Fish Species: Predicting Population Success Under Climate Change." Thesis, Griffith University, 2017. http://hdl.handle.net/10072/367629.

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Streams are becoming increasingly fragmented by anthropogenic impacts related to altered thermal and hydrological regimes, dispersal barriers, land-use, introductions of non-native fish, habitat degradation, and altered disturbance regimes. Furthermore, relatively little is known about the ecology and spatio-temporal dynamics of a large proportion of freshwater fish populations and assemblages, making their conservation challenging. The general goal of my research was to improve ecological understanding of the drivers of fish distribution in upland streams, using the threatened Northern river
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Häggström, Martin. "Thermal modelling of a truck gearbox." Thesis, Luleå tekniska universitet, Institutionen för teknikvetenskap och matematik, 2017. http://urn.kb.se/resolve?urn=urn:nbn:se:ltu:diva-63753.

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The thermal regime of a gearbox is of considerable importance to its performance. Several significant gearbox parameters, such as the efficiency and fatigue life of its components, are temperature dependent. It is thus important to be able to determine the temperatures of the gearbox components during operation, but they are difficult to measure experimentally. A simulation model capable of predicting these temperatures would therefore be a valuable tool. The objective of this master’s thesis was to create a model capable of simulating the thermal regime of a truck gearbox during operation. To
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Toman, Marek. "Vázané modelování asynchronního motoru metodou fyzikálního modelování." Master's thesis, Vysoké učení technické v Brně. Fakulta strojního inženýrství, 2015. http://www.nusl.cz/ntk/nusl-231093.

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This paper deals with interaction of different physical phenomena in asynchronous motor. The first part of this work is devoted to computing of electrical ratios in asynchronous motor. By using the equivalent circuit in the shape of Gamma-circuit the equation for computing of currents, performances and losses of asynchronous motor are derived. The second part describes calculating of electromagnetic circuit and iron-core losses. In the next part there is the first part of associated model created which respects electric and electromagnetic ratios in the asynchronous motor. This model can be us
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Davis, Alexander Michael. "Supersymmetry Method for Network Models of Quantum Hall Transitions and Hybrid Structures." The Ohio State University, 2019. http://rave.ohiolink.edu/etdc/view?acc_num=osu1566157715556164.

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Ren, Mei Juan. "Optimal predictive control of thermal storage in hollow core ventilated slab systems." Thesis, Loughborough University, 1997. https://dspace.lboro.ac.uk/2134/12436.

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The energy crisis together with greater environmental awareness, has increased interest in the construction of low energy buildings. Fabric thermal storage systems provide a promising approach for reducing building energy use and cost, and consequently, the emission of environmental pollutants. Hollow core ventilated slab systems are a form of fabric thermal storage system that, through the coupling of the ventilation air with the mass of the slab, are effective in utilizing the building fabric as a thermal store. However, the benefit of such systems can only be realized through the effective
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Čáp, Martin. "Tepelný výpočet asynchronního motoru pomocí tepelných sítí." Master's thesis, Vysoké učení technické v Brně. Fakulta elektrotechniky a komunikačních technologií, 2018. http://www.nusl.cz/ntk/nusl-377097.

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This thesis deals with thermal calculation of asynchronous motor. The theoretical part deals with principles of heat transfer, which are important for thermal calculation. Another theoretical part describes asynchronous motor analysis and its loss. In the practical part, these losses together with the electromagnetic circuit are calculated. Subsequently, two thermal networks are created to calculate the warming of individual machine parts. To ensure the correctness of the result, a bound model of partial calculations of the asynchronous machine is created. The next step is to compare the calcu
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Bakri, Reda. "Modélisation thermique des composants magnétiques planar pour l'électronique de puissance." Thesis, Ecole centrale de Lille, 2018. http://www.theses.fr/2018ECLI0005.

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Les travaux présentés ont pour objet de développer des modèles thermiques adaptés aux composants magnétiques planar (CMP). Après avoir détaillé la problématique des pertes en hautes fréquences (cuivre et fer), source d’échauffement dans les CMP, un état de l’art des différentes approches utilisées pour la modélisation thermique des composants magnétiques est présenté. Ensuite, pour répondre aux besoins des concepteurs, deux types de modèles thermiques sont proposés. Le premier, de type analytique, basé sur résistance thermique équivalente, permet d’évaluer l’échauffement d’un composant lors de
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Aldaouab, Ibrahim. "Optimization and Control of Smart Renewable Energy Systems." University of Dayton / OhioLINK, 2019. http://rave.ohiolink.edu/etdc/view?acc_num=dayton1567770026080553.

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Books on the topic "Thermal network model"

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Mohebbi, Ali. Modeling of thermodynamic properties of refrigerants using artificial neural networks and genetic algorithms. Nova Science Publishers, 2010.

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Sergeenkov, Sergei. 2D arrays of Josephson nanocontacts and nanogranular superconductors. Edited by A. V. Narlikar and Y. Y. Fu. Oxford University Press, 2017. http://dx.doi.org/10.1093/oxfordhb/9780199533046.013.21.

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This article examines many novel effects related to the magnetic, electric, elastic and transport properties of Josephson nanocontacts and nanogranular superconductors using a realistic model of two-dimensional Josephson junction arrays. The arrays were created by a 2D network of twin-boundary dislocations with strain fields acting as an insulating barrier between hole-rich domains in underdoped crystals. The article first describes a model of nanoscopic Josephson junction arrays before discussing some interesting phenomena, including chemomagnetism and magnetoelectricity, electric analog of t
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Clarke, Andrew. The Metabolic Theory of Ecology. Oxford University Press, 2017. http://dx.doi.org/10.1093/oso/9780199551668.003.0012.

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The model of West, Brown & Enquist (WBE) is built on the assumption that the metabolic rate of cells is determined by the architecture of the vascular network that supplies them with oxygen and nutrients. For a fractal-like network, and assuming that evolution has minimised cardiovascular costs, the WBE model predicts that s=metabolism should scale with mass with an exponent, b, of 0.75 at infinite size, and ~ 0.8 at realistic larger sizes. Scaling exponents ~ 0.75 for standard or resting metabolic rate are observed widely, but far from universally, including in some invertebrates with car
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Dzelzītis, Egīls. Application of Alternative Energy Trigeneration for Balancing of Loads and Sustainable Quality Assurance in Smart Energy Networks. RTU Press, 2021. http://dx.doi.org/10.7250/9789934227158.

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The object of the research is micro-grids in district heating systems and the end consumers of the thermal energy from these systems. Topicality of the Thesis: The National Energy and Climate Plan of Latvia for 2030. The aim of the Doctoral Thesis is to design the energy management model for micro-grids with passive buildings and ecological trigeneration by using renewable energy resources.
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Xue, Yongkang, Yaoming Ma, and Qian Li. Land–Climate Interaction Over the Tibetan Plateau. Oxford University Press, 2017. http://dx.doi.org/10.1093/acrefore/9780190228620.013.592.

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The Tibetan Plateau (TP) is the largest and highest plateau on Earth. Due to its elevation, it receives much more downward shortwave radiation than other areas, which results in very strong diurnal and seasonal changes of the surface energy components and other meteorological variables, such as surface temperature and the convective atmospheric boundary layer. With such unique land process conditions on a distinct geomorphic unit, the TP has been identified as having the strongest land/atmosphere interactions in the mid-latitudes.Three major TP land/atmosphere interaction issues are presented
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Book chapters on the topic "Thermal network model"

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Ota, Koji, Masahiko Mori, and Naruhiro Irino. "Development of Thermal Displacement Prediction Model and Thermal Deformation Measurement Methods." In Lecture Notes in Production Engineering. Springer International Publishing, 2023. http://dx.doi.org/10.1007/978-3-031-34486-2_1.

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AbstractIn machine tools, it is important to maintain accuracy against heat in the entire machining space. The reduction of thermal displacement is achieved by measuring it accurately and then clarify the relationship between the temperature change and the thermal deformation and then creating the prediction and compensation model or applying the countermeasure to suppress the thermal deformation. To solve this issue, the authors have developed methods to measure thermal deformation in two-dimensional space using a laser tracker and cameras. A laser tracker method achieved higher accuracy and
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Meng, Fandi, Jing Wei, Liying Huang, Zhi Wang, Chunmei Xu, and Lijun Diao. "Dynamic Thermal Model of Traction Induction Motor Based on Thermal Network Method." In Proceedings of the 5th International Conference on Electrical Engineering and Information Technologies for Rail Transportation (EITRT) 2021. Springer Singapore, 2022. http://dx.doi.org/10.1007/978-981-16-9905-4_17.

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Danko, George L. "Transport Models for Thermal Energy." In Model Elements and Network Solutions of Heat, Mass and Momentum Transport Processes. Springer Berlin Heidelberg, 2016. http://dx.doi.org/10.1007/978-3-662-52931-7_8.

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Thakur, Lalit, Hitesh Vasudev, Jashanpreet Singh, and Gaurav Prashar. "Neural Network Model for Wear Prediction of Coatings." In Artificial Intelligence and Machine Learning in the Thermal Spray Industry. CRC Press, 2023. http://dx.doi.org/10.1201/9781003400660-7.

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Ding, Qiangqiang, Shijie Guo, Geng Chen, and Shufeng Tang. "Thermal Error Modeling Method of Machining Center Linear Axis for Heat Conduction Mechanism." In Lecture Notes in Mechanical Engineering. Springer Nature Singapore, 2024. http://dx.doi.org/10.1007/978-981-97-1876-4_99.

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AbstractTo address the thermal deformation of machine tool components, a thermal error prediction model based on the ROA-LSSVM network was proposed. First of all, the heat transfer mechanism of the linear feed system was analyzed. By analyzing temperature distribution characteristics during the heat transfer process, the best temperature measurement point position was determined to ensure that the thermal error could be accurately predicted. Secondly, in order to build a prediction model with high accuracy and strong robustness, Raccoon optimization algorithm (ROA) was proposed to optimize the
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Mareš, Martin, Otakar Horejš, and Pravoslav Nykodym. "An Indicative Model Considering Part of the Thermo-Mechanical Behaviour of a Large Grinding Machine." In Lecture Notes in Production Engineering. Springer International Publishing, 2023. http://dx.doi.org/10.1007/978-3-031-34486-2_5.

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AbstractMachine tool (MT) thermal errors are an important element in ma-chined workpiece inaccuracies. In the past few decades, thermal errors associated mainly with one particular source (e.g. spindle or environment), have been successfully reduced by SW compensation techniques such as multiple linear re-gression analysis, finite element method, neural network, transfer function (TF) within similar calibration and verification conditions. An approach based on TFs is used for thermal error modelling in this research. This method respects basic heat transfer mechanisms in the MT and requires a
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Nabona, Narcis. "Long-Term Hydro-Thermal Coordination of Electricity Generation Through Multicommodity Network Flows." In Algorithms and Model Formulations in Mathematical Programming. Springer Berlin Heidelberg, 1989. http://dx.doi.org/10.1007/978-3-642-83724-1_20.

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Rahul Rathnam, S., K. R. Anandh Natarajan, S. Gautam Kumar, N. Gobinath, and K. Rajan. "Predictive Modeling of Surface Roughness for Turning of Al-6061 Using Artificial Neural Network Model." In Advances in Design and Thermal Systems. Springer Singapore, 2021. http://dx.doi.org/10.1007/978-981-33-6428-8_4.

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Zhang, Zhenxuan, Yuanyuan Li, Sang Won Yoon, and Daehan Won. "Reflow Thermal Recipe Segment Optimization Model Based on Artificial Neural Network Approach." In Lecture Notes in Mechanical Engineering. Springer International Publishing, 2023. http://dx.doi.org/10.1007/978-3-031-17629-6_6.

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Biesinger, Andreas, Ruben Pesch, Mariela Cotrado, and Dirk Pietruschka. "Increased Efficiency Through Intelligent Networking of Producers and Consumers in Commercial Areas Using the Example of Robert Bosch GmbH." In iCity. Transformative Research for the Livable, Intelligent, and Sustainable City. Springer International Publishing, 2022. http://dx.doi.org/10.1007/978-3-030-92096-8_9.

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AbstractEnergy-efficient heating and cooling systems as well as intelligent systems for energy distribution are urgently required in order to be able to meet the ambitious goals of the European Union to reduce greenhouse gas emissions. The present article is intended to show that intelligent system extensions for the area of heating, cooling and electricity production for the industrial sector can lead to significant increase in efficiency. For this purpose, a simulation study for the expansion of a combined heat and power (CHP) plant with 2 MW thermal output using a 1.4 MW absorption chiller
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Conference papers on the topic "Thermal network model"

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Tang, Yizheng, Lingyu Zhu, Cao Zhan, et al. "Intelligent Thermal Model of SiC Power Modules Using Convolutional Neural Network." In 2024 CPSS & IEEE International Symposium on Energy Storage and Conversion (ISESC). IEEE, 2024. https://doi.org/10.1109/isesc63657.2024.10785501.

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Zhu, Xianghua, Shan Hu, Zhigang Bing, and Di Zhao. "Infrared Thermal Image Fault Detection of Electric Motor Based on Improved VGG16 Network Model." In 2024 6th International Conference on Communications, Information System and Computer Engineering (CISCE). IEEE, 2024. http://dx.doi.org/10.1109/cisce62493.2024.10653406.

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Lu, Yang, Jiali Su, and Yisong Shi. "Optimisation of a Convolutional Neural Network Based Model for Thermal Image Recognition of Faces." In 2024 IEEE 6th International Conference on Power, Intelligent Computing and Systems (ICPICS). IEEE, 2024. https://doi.org/10.1109/icpics62053.2024.10796228.

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Kim, Jung-Kyun, Sung-Ki Nam, Wataru Nakayama, and Sun-Kyu Lee. "Compact thermal network model of the electro-thermal system." In 2010 5th International Microsystems, Packaging, Assembly and Circuits Technology Conference (IMPACT). IEEE, 2010. http://dx.doi.org/10.1109/impact.2010.5699477.

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Wright, Stephen, Avinash Ravikumar, Laura Redmond, et al. "Benchmarking of Neural Network Methodologies for Piston Thermal Model Calibration." In WCX SAE World Congress Experience. SAE International, 2024. http://dx.doi.org/10.4271/2024-01-2598.

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<div class="section abstract"><div class="htmlview paragraph">Design of internal combustion (IC) engine pistons is dependent on accurate prediction of the temperature field in the component. Experimental temperature measurements can be taken but are costly and typically limited to a few select locations. High-fidelity computer simulations can be used to predict the temperature at any number of locations within the model, but the models must be calibrated for the predictions to be accurate. The largest barrier to calibration of piston thermal models is estimating the backside bounda
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Krishnamoorthy, Shriram, and Masud H. Chowdhury. "Compact thermal network model: Realization and reduction." In 2008 IEEE International Conference on Electro/Information Technology (EIT 2008). IEEE, 2008. http://dx.doi.org/10.1109/eit.2008.4554334.

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Tian, Yanzhong, Tong An, Fei Qin, Yanpeng Gong, and Chen Liang. "A thermal network model for thermal analysis in automotive IGBT modules." In 2021 22nd International Conference on Electronic Packaging Technology (ICEPT). IEEE, 2021. http://dx.doi.org/10.1109/icept52650.2021.9568128.

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Jian-Yang, Yuan, Bernard Tremblay, and Alex Babchin. "A Wormhole Network Model of Cold Production in Heavy Oil." In International Thermal Operations/Heavy Oil Symposium. Society of Petroleum Engineers, 1999. http://dx.doi.org/10.2118/54097-ms.

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Kuang, Jilong, and Laxmi Bhuyan. "Predictive Model-Based Thermal Management for Network Applications." In 2011 ACM/IEEE Symposium on Architectures for Networking and Communications Systems (ANCS). IEEE, 2011. http://dx.doi.org/10.1109/ancs.2011.16.

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Lotichius, J., T. Singer, G. Brokmann, et al. "A thermal network model for piezoresistive pressure sensors." In 2015 IEEE Sensors. IEEE, 2015. http://dx.doi.org/10.1109/icsens.2015.7370569.

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Reports on the topic "Thermal network model"

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Stori, Jamie, Kevin Brady, and Thomas Thurman. Representation of a thermal resistor network model of a packaged component in STEP AP210 edition 2. National Institute of Standards and Technology, 2009. http://dx.doi.org/10.6028/nist.ir.7648.

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Mohanty, Subhasish, and Joseph Listwan. Development of Digital Twin Predictive Model for PWR Components: Updates on Multi Times Series Temperature Prediction Using Recurrent Neural Network, DMW Fatigue Tests, System Level Thermal-Mechanical-Stress Analysis. Office of Scientific and Technical Information (OSTI), 2021. http://dx.doi.org/10.2172/1822853.

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Roberson, Madeleine, Kathleen Inman, Ashley Carey, Isaac Howard, and Jameson Shannon. Probabilistic neural networks that predict compressive strength of high strength concrete in mass placements using thermal history. Engineer Research and Development Center (U.S.), 2022. http://dx.doi.org/10.21079/11681/44483.

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This study explored the use of artificial neural networks to predict UHPC compressive strengths given thermal history and key mix components. The model developed herein employs Bayesian variational inference using Monte Carlo dropout to convey prediction uncertainty using 735 datapoints on seven UHPC mixtures collected using a variety of techniques. Datapoints contained a measured compressive strength along with three curing inputs (specimen maturity, maximum temperature experienced during curing, time of maximum temperature) and five mixture inputs to distinguish each UHPC mixture (cement typ
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Calafat, Francisco Mir, Thomas Frederikse, and Kevin Horsburgh. Mediterranean trend and acceleration sea-level estimates. EuroSea, 2023. http://dx.doi.org/10.3289/eurosea_d5.2_v2.

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Sea-level change is geographically non-uniform, with regional departures that can reach several times the global average rate of change. Characterizing this spatial variability and understanding its causes is crucial to the design of adaptation strategies for sea-level rise. This, as it turns out, is no easy feat, primarily due to the sparseness of the observational sea-level record in time and space. Long tide gauge records are restricted to a few locations along the coast. Satellite altimetry offers a better spatial coverage but only since 1992. In the Mediterranean Sea, the tide gauge netwo
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You might also be interested in the extended bibliographies on the topic 'Thermal network model' for particular source types:
Journal articles Dissertations / Theses
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