Готові списки джерел за темами / Meteorological Object

Добірка наукової літератури з теми "Meteorological Object"

Автор: Grafiati

Опубліковано: 30 травня 2022

Оновлено: 31 травня 2022

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Статті в журналах з теми "Meteorological Object"

Sieglaff, Justin M., Daniel C. Hartung, Wayne F. Feltz, Lee M. Cronce, and Valliappa Lakshmanan. "A Satellite-Based Convective Cloud Object Tracking and Multipurpose Data Fusion Tool with Application to Developing Convection." Journal of Atmospheric and Oceanic Technology 30, no. 3 (March 1, 2013): 510–25. http://dx.doi.org/10.1175/jtech-d-12-00114.1.

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Abstract Studying deep convective clouds requires the use of available observation platforms with high temporal and spatial resolution, as well as other non–remote sensing meteorological data (i.e., numerical weather prediction model output, conventional observations, etc.). Such data are often at different temporal and spatial resolutions, and consequently, there exists the need to fuse these different meteorological datasets into a single framework. This paper introduces a methodology to identify and track convective cloud objects from convective cloud infancy [as few as three Geostationary Operational Environmental Satellite (GOES) infrared (IR) pixels] into the mature phase (hundreds of GOES IR pixels) using only geostationary imager IR window observations for the purpose of monitoring the initial growth of convective clouds. The object tracking system described within builds upon the Warning Decision Support System-Integrated Information (WDSS-II) object tracking capabilities. The system uses an IR-window-based field as input to WDSS-II for cloud object identification and tracking and a Cooperative Institute for Meteorological Satellite Studies at the University of Wisconsin (UW-CIMSS)-developed postprocessing algorithm to combine WDSS-II cloud object output. The final output of the system is used to fuse multiple meteorological datasets into a single cloud object framework. The object tracking system performance analysis shows improved object tracking performance with both increased temporal resolution of the geostationary data and increased cloud object size. The system output is demonstrated as an effective means for fusing a variety of meteorological data including raw satellite observations, satellite algorithm output, radar observations, and derived output, numerical weather prediction model output, and lightning detection data for studying the initial growth of deep convective clouds and temporal trends of such data.

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Rottner, Lucie, Philippe Arbogast, Mayeul Destouches, Yamina Hamidi, and Laure Raynaud. "The similarity-based method: a new object detection method for deterministic and ensemble weather forecasts." Advances in Science and Research 16 (September 3, 2019): 209–13. http://dx.doi.org/10.5194/asr-16-209-2019.

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Abstract. A new object-oriented method has been developed to detect hazardous phenomena predicted by Numerical Weather Prediction (NWP) models. This method, called similarity-based method, is looking for specific meteorological objects in the forecasts, which are defined by a reference histogram representing the meteorological phenomena to be detected. The similarity-based method enables to cope with small scale unpredictable details of mesoscale structures in meteorological models and to quantify the uncertainties on the location of the predicted phenomena. Applied to ensemble forecasts, the similarity-based method can be viewed as a particular case of neighborhood processing, allowing spatialized probabilities to be computed. An application to rainfall detection using forecasts from the AROME deterministic and ensemble models is presented.

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Kostromin, Roman, Olga Basharina, Alexander Feoktistov, and Ivan Sidorov. "Microservice-Based Approach to Simulating Environmentally Friendly Equipment of Infrastructure Objects Taking into Account Meteorological Data." Atmosphere 12, no. 9 (September 17, 2021): 1217. http://dx.doi.org/10.3390/atmos12091217.

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Nowadays, simulation modeling is a relevant and practically significant means in the field for research of infrastructure object functioning. It forms the basis for studying the most important components of such objects represented by their digital twins. Applying meteorological data, in this context, becomes an important issue. In the paper, we propose a new microservice-based approach for organizing simulation modeling in heterogeneous distributed computing environments. Within the proposed approach, all operations related to data preparing, executing models, and analyzing the obtained results are implemented as microservices. The main advantages of the proposed approach are the parameter sweep computing within simulation modeling and possibility of integrating resources of public access supercomputer centers with cloud and fog platforms. Moreover, we provide automated microservice web forms using special model specifications. We develop and apply the service-oriented tools for studying environmentally friendly equipment of the objects at the Baikal natural territory. Among such objects are recreation tourist centers, children’s camps, museums, exhibition centers, etc. As a result, we have evaluated the costs for the possible use of heat pumps in different operational and meteorological conditions for the typical object. The provided comparative analysis has confirmed the aforementioned advantages of the proposed approach.

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Katsev, I. L., and E. P. Zege. "The modern theory of black object visibility and meteorological visibility range." Atmospheric Environment 28, no. 5 (March 1994): 763–67. http://dx.doi.org/10.1016/1352-2310(94)90234-8.

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Muniroh, Nur, and Dicki Achmad Muzayyinul Achkam. "PERANCANGAN APLIKASI INVENTARISASI SUKU CADANG PERALATAN METEOROLOGI BERBASIS SISTEM OPERASI ANDROID DENGAN DATABASE SQLITE PADA SUB BIDANG INSTRUMENTASI REKAYASA PERALATAN METEOROLOGI BMKG." Jurnal Teknologi dan Bisnis 1, no. 1 (December 20, 2019): 66–80. http://dx.doi.org/10.37087/jtb.v1i1.52.

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The object of this research is the sub-field of instrumentation and engineering of the Jakarta BMKG meteorological equipment. This sub-sector of instrumentation and engineering of meteorological equipment is that which provides spare parts for meteorological equipment for meteorological stations throughout Indonesia. In the inventory of spare parts in the sub-field of instrumentation and engineering of meteorological equipment, MS Excel is still used on the computer so it is not practical and cannot be carried anywhere. By using the spare parts inventory application on this android phone and with the SQLite database, it will make it easier for the spare parts inventory process and more practical and can be carried everywhere.

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Pylypiuk, A., and N. Tsvyd. "The problems of “The White Elephant” in the recreational tourism Ukrainian Carpathians." Visnyk of the Lviv University. Series Geography 1, no. 43 (October 19, 2013): 243–49. http://dx.doi.org/10.30970/vgg.2013.43.1604.

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The article is devoted to the alpine astronomic meteorological observatory named “The White Elephant” (Bilyi Slon) which is a potential tourist object of the Ukrainian Carpathians. Some proposals and the ways of restoration of the building, as well as possible directions of its existence are developed. Key words: tourism, recreation, observatory, meteorological station, Chornohora (Blackmountain), Pip Ivan, the Ukrainian Carpathians.

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Mao, Kefeng, Xi Chen, Kelan Zhu, Dong Hu, and Yan Li. "A Method to Extract Essential Information from Meteorological Facsimile Charts." International Journal of Pattern Recognition and Artificial Intelligence 33, no. 01 (October 11, 2018): 1954001. http://dx.doi.org/10.1142/s0218001419540016.

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Using image processing technology to extract important information, such as isoline and weather system of the meteorological facsimile chart, is conducive to integration with other information, and has important practical value in navigation operations, marine weather forecasting, target recognition, and image retrieval. In meteorological facsimile charts, there are many types of medium-value lines, dense lines in some areas, superimposition and presence of multiple information, such as isolines and isoline characters, intersection of specific weather system symbols, etc. For different types of contours, numeric characters, weather system symbols and other object characteristics, the corresponding object extraction and recognition methods are proposed: Remove the latitude and longitude lines and coastline in the meteorological facsimile map by basemap matching; According to the position and shape features of the figure box, extract the meteorological fax figure box, separate and remove the different character tagging information; On the basis of identifying triangles and semicircles in weather symbols of the frontal system, the frontal symbols are extracted based on the circumscribed triangles and template matching. First the contour character on the fax image is expanded into a block connected region. Determine the position of the character information by judging the number of pixels in the connected region, and then use rotation and template matching to identify the numeric character. Using the meteorological facsimile maps of the US Meteorological Center and the Japan Meteorological Center for the main information extraction, experiments show that the method of this paper has a good effect on the complete and accurate symbol extraction of frontal weather systems, and reduces the computational complexity of contour detection, isoline extraction and numerical recognition. The methods can detect some information from weather charts properly and the error rate is very low.

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Kovylin, G. D., I. S. Bernikov, and V. N. Vasilishin. "Meteorological service for civil defense tasks." Ukrainian hydrometeorological journal, no. 16 (October 29, 2017): 89–98. http://dx.doi.org/10.31481/uhmj.16.2015.12.

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The place and role of meteorological service for solving problems of population protection against the impact of natural disasters, technological accidents and modern means of destruction (fires, explosions, and terrorist actions) are considered. The shortcomings of the calculation technique and the radar method considered for computing of average wind and explosion (nuclear object accident) power are shown. The ways for solving this problem are developed. The importance and relevance of solving problems related to meteorological service for headquarters of the Civil Defense and the Ministry of Emergency Situations are emphasized, including the necessity of problem solving due to implementation of automatical data computation for meteorological service, development and installation of high-speed meteorological data processing facilities. Proposals to improve the collection, processing and analysis of meteorological and upper-air data required for prediction and assessment of radiation and biological (bacteriological) environment in order to protect the population and the troops are presented.

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Samsonov, Timofey E., Pavel I. Konstantinov, and Mikhail I. Varentsov. "Object-oriented approach to urban canyon analysis and its applications in meteorological modeling." Urban Climate 13 (September 2015): 122–39. http://dx.doi.org/10.1016/j.uclim.2015.07.007.

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Brázdil, Rudolf, and Hubert Valášek. "Meteorological measurements and observations at Zákupy in 1718-1720." Geografie 107, no. 1 (2002): 1–22. http://dx.doi.org/10.37040/geografie2002107010001.

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Meteorological observations of the physician Johann Carl Rost at Zákupy (north Bohemia) in the years 1718-1720, published in the overviews of meteorological observations from several European localities by a Wrocław physician Johann Kanold, are analysed. Whereas from October 1718 to December 1719 and from April to December 1720 it is only summary monthly information, from 21 December 1719 to 31 March 1720 Rost performed three times a day measurements of air temperature and pressure and observations of the wind direction and the course of the weather. These records are the object of detailed climatological analysis, completed by the reconstructed surface pressure field of these months. The summarising monthly information is compared with accessible data of Czech narrative sources. Rost's observations are so far the oldest systematic instrumental measurements in the Czech Lands.

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Більше джерел

Дисертації з теми "Meteorological Object"

Sozer, Aziz. "Design And Implementation Of Spatiotemporal Databases." Phd thesis, METU, 2010. http://etd.lib.metu.edu.tr/upload/12612189/index.pdf.

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Modeling spatiotemporal data, in particular fuzzy and complex spatial objects representing geographic entities and relations, is a topic of great importance in geographic information systems, computer vision, environmental data management systems, etc. Because of complex requirements, it is challenging to design a database for spatiotemporal data and its features and to effectively query them. This thesis presents a new approach for modeling, indexing and querying the spatiotemporal data of fuzzy spatial and complex objects and/or spatial relations. As a case study, we model and implement a meteorological application in an intelligent database architecture, which combines an object-oriented database with a knowledge base.

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Brewer, Michael Robert. "Neural networks for meteorological satellite image interpretation." Thesis, University of Oxford, 1997. http://ora.ox.ac.uk/objects/uuid:55ee7430-4029-47de-adb7-4b611ba1edc6.

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Meteorological satellite images at visible and infra-red wavelengths are an invaluable source of information on cloud systems because of their extensive coverage of the whole of the Earth's surface, providing data in areas that are only sparsely monitored, if at all, by other means. Although this information has been used subjectively by forecasters for many years, the lack of automatic, quantitative analysis techniques largely prevents its assimilation into numerical weather prediction (NWP) models, which are the basis of all modern weather forecasting. This thesis investigates the use of neural network techniques for the analysis of the images in order to make fuller use of the available data. The recognition of a particular type of cloud is dependent on the determination of a set of features from the satellite image spectral bands that will give discriminating information. This feature extraction and selection process is dealt with in detail, and a feature selection process based on the radial basis function (RBF) neural network is presented. The high-dimensional feature space is visualized on a two-dimensional plane by the use of three techniques: the Kohonen map, the Sammon map, and a recently-developed technique known as the Generative Topographic Mapping (GTM). Classification results using a multi-layer perceptron (MLP) and an RBF neural network are presented. The results of independently classifying each pixel in an image are compared with a method that makes use of contextual information, the Markov Random Field (MRF) model. The limitations of the pixel-based approach are highlighted, and a region-based approach is presented that enables the definition of large-scale regions of uniform cloud type. Two segmentation methods are used, the active contour (or snake) model, and the more recentlydeveloped level set technique. The latter method was found to provide many benefits over the former. The region-based approach will facilitate the assimilation of cloud system information into NWP models in the future.

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Безрук, В. М., and Г. І. Хлопов. "Radar Recognition of Given and Unknown Meteorological Objects." Thesis, 2018. http://openarchive.nure.ua/handle/document/5881.

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The recognition algorithms of given and unknown meteorological objects based of autoregressive model of the intensity fluctuations of the reflected signals is proposed. The experimental study of the recognition efficiency meteorological objects are presented with using real reflected signals from a weather radar.

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Книги з теми "Meteorological Object"

Mourelatos, Alexander P. D. The Cloud‐Astrophysics of Xenophanes and Ionian Material Monism. Edited by Patricia Curd and Daniel W. Graham. Oxford University Press, 2009. http://dx.doi.org/10.1093/oxfordhb/9780195146875.003.0005.

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This article discusses Xenophanes' “cloud astro-physics”. It analyses and explains all heavenly and meteorological phenomena in terms of clouds. It provides a view of this newer Xenophanes, who is now being recognized as an important philosopher-scientist in his own right and a crucial figure in the development of critical thought about human knowledge and its objects in the next generation of Presocratic thinkers. Xenophanes' account has been preserved in Aëtius, the doxographic compendium (1st or 2nd century ce) reconstructed by Hermann Diels late in the nineteenth century mainly from two sources that show extensive parallelism: pseudo-Plutarch Placita Philosophorum or Epitome of Physical Opinions (second century ce); and Ioannes Stobaeus' Eclogae Physicae or Physical Extracts (fifth century ce). In the Stobaeus version, which is also the one printed in the standard edition of the Pre-socratics.

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Pollock, Jonathan. Of Mites and Motes: Shakespearean Readings of Epicurean Science. Edinburgh University Press, 2018. http://dx.doi.org/10.3366/edinburgh/9781474427814.003.0007.

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This chapter is devoted to the rediscovery of Lucretius in the early modern period. Even though Shakespeare had no access to writings by Epicurus, there is a strong likelihood that he knew the De rerum natura by Lucretius, were it only via Montaigne’s Essays. It is Jonathan Pollock’s contention that the prevalence of weather imagery in Shakespeare’s later plays not only results from his propensity to cloud-gazing but also from his interest in Lucretius’s use of meteorological models in order to explain the creation and disintegration of material objects and living beings. Epicurean science recognizes only (atomic) matter and void, it denies the reality of a spiritual “substance” (God or an immortal soul). It would seem that Shakespeare uses Lucretian doctrine as a means of establishing dialectical oppositions: set against Lear’s naive paganism or Cordelia’s redemptive figure, for instance, atomism portrays a world without Divine Providence of any sort, subject to purely material forces.

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Lutsenko, V. I., I. V. Lutsenko, D. O. Popov, and I. V. Popov. Remote sensing of the environment using the radiation of existing ground and space radio systems. PH “Akademperiodyka”, 2020. http://dx.doi.org/10.15407/akademperiodyka.429.345.

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Possibilities of using existing ground (TV centers, broadcasting stations) and space (global navigation satellite systems) radio systems for solving the problem of remote sensing and monitoring of the environment and objects in it are considered. The methods of diagnostics of the troposphere, description of the refractive index with the use of semi-Markov processes and atomic functions of Kravchenko-Rvacheva are proposed. The seasonal and altitudinal dependencies of radio-meteorological parameters and radio-climatic features of Ukraine were studied. Technologies for determining the effective gradient of the refractive index by damping factor of the VHF signals of television centers on the OTH routes in the zone of the near geometric shadow, on the angles of radioa "rise" and "sets" of the AES, detection of precipitation zones by the fluctuations of the pseudoranges and changes of the coordinates estimates, parameters of the surface of the earth by the fluctuations of the GNSS signals. Reviewers: Head of the Department of Radio waves propagation in the natural environments of the O. Ya. Usikov Institute for Radiophysics and Electronics NASU, Doctor of Physical and Mathematical Sciences, Professor Kivva F.V., Professor of the Department of Designing Radioelectronic Devices of Aircraft of the National Aerospace University. M.E. Zhukovsky (KhAI), Doctor of Technical Sciences, Professor Volosyuk V.K.

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Частини книг з теми "Meteorological Object"

Vereshchagin A. V., Zatuchny D. A., Sinitsyn V. A., Sinitsyn E. A., and Shatrakov Y. G. "The Detection and Assessment of Meteorological Object Parameters by Airborne RS." In Springer Aerospace Technology, 1–36. Singapore: Springer Singapore, 2019. http://dx.doi.org/10.1007/978-981-13-9988-6_1.

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Vereshchagin A. V., Zatuchny D. A., Sinitsyn V. A., Sinitsyn E. A., and Shatrakov Y. G. "The Mathematical Model of Detection of Meteorological Objects by Airborne RS and the Assessment of Danger for Air Vehicles Flights." In Springer Aerospace Technology, 37–96. Singapore: Springer Singapore, 2019. http://dx.doi.org/10.1007/978-981-13-9988-6_2.

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Vereshchagin A. V., Zatuchny D. A., Sinitsyn V. A., Sinitsyn E. A., and Shatrakov Y. G. "The Methods and Algorithms of Processing of Signals Improving Observability and Accuracy of the Assessment of Parameters of Meteorological Objects of Airborne Radar Stations." In Springer Aerospace Technology, 97–186. Singapore: Springer Singapore, 2019. http://dx.doi.org/10.1007/978-981-13-9988-6_3.

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Brock, Fred V., and Scott J. Richardson. "Visibility and Cloud Height." In Meteorological Measurement Systems. Oxford University Press, 2001. http://dx.doi.org/10.1093/oso/9780195134513.003.0013.

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Visibility measurement is the most human-oriented measurement discussed because the objective of such measurement is to determine the distance at which humans (pilots, seamen, etc.) can see objects. Thus we are concerned with light that can be seen by humans (0.4 to 0.7μm), the way human eyes perceive such light, and then with the transparency of the atmosphere. Throughout this chapter, in the discussion of atmospheric transparency or absorption, the range of wavelengths from 0.4 (violet) to 0.7μm (red light) will be assumed. Cloud height is a remote sensing measurement but is included here because airport meteorological systems usually include a cloud height sensor. According to the WMO, meteorological visibility by day is defined as the greatest distance that a black object of suitable dimensions, situated near the ground, can be seen and recognized when observed against a background of fog, sky, etc. Visibility at night is defined as the greatest distance at which lights of moderate intensity can be seen and identified.

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"Modify region scalable fitting model for meteorological object segmentation." In Computer Science and Applications, 283–88. CRC Press, 2015. http://dx.doi.org/10.1201/b18508-49.

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Gamba, P., A. Marazzi, and A. Mecocci. "A Wavelet Classification Chain for Rain Pattern Tracking from Meteorological Radar Data." In Time-Varying Image Processing and Moving Object Recognition, 4, 171–75. Elsevier, 1997. http://dx.doi.org/10.1016/b978-044482307-6/50025-4.

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Yücer, Emre, and Arzu Erener. "Determination of Urban Growth by the Night-Time Images." In Encyclopedia of Information Science and Technology, Fourth Edition, 7831–42. IGI Global, 2018. http://dx.doi.org/10.4018/978-1-5225-2255-3.ch681.

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Urbanization in Turkey and in the world continues is increased especially in the last 30 years. Therefore, urban areas having a dynamic structure should be regularly monitored and the urban region should be determined. There is a need of accurate current data that enables to monitor the temporally changing urban development and land use at regular intervals. In order to determine the urban sizes the 2010 DMSP - OLS (US Air Force Meteorological Satellite Program – operational line scan system) night-time images are used. This study is adapted to all provinces of Turkey. Night-time images in the literature are mainly used for examining the global economic and demographic differences between countries. In order to determine the urban growth from night-time images two different image analysis including object-based and cell-based methods are used in this study. Object-oriented image analysis method includes image segmentation studies and cell-based classification method contains natural breaks and otsu method.

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Yücer, Emre, and Arzu Erener. "Determination of Urban Growth by the Night-Time Images." In Advances in Public Policy and Administration, 564–76. IGI Global, 2019. http://dx.doi.org/10.4018/978-1-5225-7661-7.ch044.

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Urbanization in Turkey and in the world has increased in the last 30 years. Therefore, urban areas having a dynamic structure should be regularly monitored, and the urban region should be determined. There is a need of accurate current data that enables the monitoring of the temporally changing urban development and land use at regular intervals. In order to determine the urban sizes, the 2010 DMSP-OLS (US Air Force Meteorological Satellite Program – operational line scan system) nighttime images are used. This chapter is adapted to all provinces of Turkey. Nighttime images in the literature are mainly used for examining the global economic and demographic differences between countries. In order to determine the urban growth from nighttime images, two different image analyses including object-based and cell-based methods are used in this study. Object-oriented image analysis method includes image segmentation studies, and cell-based classification method contains natural breaks and OTSU method.

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Haskell, Yasmin Annabel. "Cultivating Science: French ‘Meteorological’ Georgic." In Loyola's Bees. British Academy, 2003. http://dx.doi.org/10.5871/bacad/9780197262849.003.0004.

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In the eighteenth century, the publication of scientific books boomed following the switch to the vernacular. The decline of Latin and Greek, the availability of translations, and the adoption of novel ways of presenting scientific information increased the population of potential audiences during this period. This chapter explores some of the Jesuit Latin poems on scientific subjects before the transition to vernacular. It aims to determine the extent to which the Jesuits anticipated and participated in the vulgarizing mission of textbooks writers later in the century. In general, Jesuits were regarded as scientific educators owing to their contributions to the growing interest in science. During the eighteenth century, the trend was for the production of the facile side of science and illustrated books; however, French Jesuits did not adhere to the growing trend. Although they curbed their poetic powers on playful and topical objects like the secular science writers, their poems and works were devoid of instructive or diverting diagrams and pictures. They also capitalized on poems that were written in Latin at a time when the language rarely attracted noble and bourgeois readers, and in a genre that could be hardly described as novel.

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"Software Design Based on Using Ontologies and Algorithm Algebra." In Advances in Systems Analysis, Software Engineering, and High Performance Computing, 217–55. IGI Global, 2021. http://dx.doi.org/10.4018/978-1-5225-9384-3.ch007.

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This chapter proposes an approach to the automated development of programs based on the use of ontological facilities and algebra-algorithmic toolkit for design and synthesis of programs (IDS). The program design ontology, developed using Protégé system and represented in OWL format, includes concepts from various subject domains (sorting, meteorological forecasting, and other) intended for description of main program objects: data, functions, and relations between them. IDS toolkit generates the initial (skeleton) algorithm scheme based on its ontological description extracted from OWL file. The generated scheme is the basis of further design of the algorithm and synthesis of a program in a target programming language. The approach is illustrated by examples of developing parallel sorting, meteorological forecasting, and N-body simulation programs.

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Тези доповідей конференцій з теми "Meteorological Object"

Smart, Simon D., Tiago Quintino, and Baudouin Raoult. "A Scalable Object Store for Meteorological and Climate Data." In PASC '17: Platform for Advanced Scientific Computing Conference. New York, NY, USA: ACM, 2017. http://dx.doi.org/10.1145/3093172.3093238.

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Marchuk, Vitaliy, Yaroslav Ostrovsky, and Felix Yanovsky. "Meteorological Object Characteristic Calculation Using Doppler Spectrum Analysis with Neural Network." In 2006 European Radar Conference. IEEE, 2006. http://dx.doi.org/10.1109/eurad.2006.280301.

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Mikhailov, V. V. "Analysis and object-oriented generalization of meteorological data in solving the bioclimatic mapping problem." In Spatial Data Processing for Monitoring of Natural and Anthropogenic Processes 2021. Crossref, 2021. http://dx.doi.org/10.25743/sdm.2021.60.47.061.

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The focus of the paper is interrelation and character of changes in climate factors in Taimyr and the North of Evenki in the summer-autumn period between 1970 and 2020. Bioclimatic fields of the reindeer range as a form of object-oriented generalization of meteorological data have been constructed for the “average” and the most contrasting years in terms of temperature indices.

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Wei, Lan, Man-Yun Lin, Xian-Gang Zhao, Li-Zi Xie, Peng Guo, and Cun-Qun Fan. "Data Storage Method of Meteorological Satellite Ground Application System Based on Object Storage." In 2017 International Conference on Network and Information Systems for Computers (ICNISC). IEEE, 2017. http://dx.doi.org/10.1109/icnisc.2017.00060.

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Kostromin, R., A. Feoktistov, and M. Voskoboinikov. "Service-oriented tools for automating digital twin development." In 4th Scientific-practical Workshop Information Technologies: Algorithms, Models, Systems. Crossref, 2021. http://dx.doi.org/10.47350/itams.2021.12.

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The paper represents a prototype of service-oriented tools for developing digital twins. These tools automate most of the stages in preparing and carrying out a computational experiment reducing the possibility of human error. Computational experiments based on simulation modeling are performed using the proposed tools. As an example in applying the represented tools, a digital twin of a heat pump used as environmentally-friendly equipment of an infrastructure object on the Baikal natural territory is considered. Owing to the growing anthropogenic load, special attention is paid to the objects located at the coast of Lake Baikal. During the simulation modeling, both the heat pump performance characteristics and retrospective meteorological data are used to predict climatic conditions and select optimal control parameters. In addition, the computational experiment has obviously shown that heat pump use significantly reduces the harmful effect on the environment.

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Maulbetsch, John S. "Hybrid Cooling for Thermal-Electric Power Generation." In ASME 2013 Heat Transfer Summer Conference collocated with the ASME 2013 7th International Conference on Energy Sustainability and the ASME 2013 11th International Conference on Fuel Cell Science, Engineering and Technology. American Society of Mechanical Engineers, 2013. http://dx.doi.org/10.1115/ht2013-17812.

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Water use by power plant cooling systems has become a critical siting issue for new plants and the object of increasing pressure for modification or retrofit at existing plants. Wet cooling typically costs less and results in more efficient plant performance. Dry cooling, while costing more and imposing heat rate and capacity penalties on the plant, conserves significant amounts of water and eliminates any concerns regarding thermal discharge to or intake losses on local water bodies. Hybrid cooling systems have the potential of combining the advantages of both systems by reducing, although not eliminating, water requirements while incurring performance penalties that are less than those from all-dry systems. The costs, while greater than those for wet cooling, can be less than those for dry. This paper addresses parallel wet/dry systems combining direct dry cooling using a forced-draft air-cooled condenser (ACC) with closed-cycle wet cooling using a surface (shell-and-tube) steam condenser and a mechanical-draft, counterflow wet cooling tower as applied to coal-fired steam plants, gas-fired combined-cycle plants and nuclear plants. A brief summary of criteria used to identify situations where hybrid systems should be considered is given. A methodology for specifying and selecting a hybrid system is described along with the information and data requirements for sizing and estimating the capital costs and water requirements a specified plant at a specified site. The methodology incorporates critical plant and operating parameters into the analysis, such as plant monthly load profile, plant equipment design parameters for equipment related to the cooling system, e.g. steam turbine, condenser, wet or dry cooling system, wastewater treatment system. Site characteristics include a water budget or constraints, e.g. acre feet of water available for cooling on an annual basis as well as any monthly or seasonal “draw rate” constraints and meteorological data. The effect of economic parameters including cost of capital, power, water and chemicals for wastewater treating are reviewed. Finally some examples of selected systems at sites of varying meteorological characteristics are presented.

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Shiotani, Shigeaki. "Numerical Simulation of Tidal Current or Wind Over the Sea and Applications to Navigational Simulation of a Sailing Ship." In ASME 2008 27th International Conference on Offshore Mechanics and Arctic Engineering. ASMEDC, 2008. http://dx.doi.org/10.1115/omae2008-57733.

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This paper deals with numerical estimations of the ocean surface wind and tidal currents in a bay. Such estimates are very important because the wind and tidal current react to environmental factors, such as the effects of a marine structure or a sailing ship. The final object of this research was to develop a weather routing system for small vessels in coastal water. First, a computer simulation of tidal current was carried out in the same bay in Japan. The results showed that tidal simulation was very effective for the weather routing system of a small vessel. Next, an estimation of the ocean surface wind was carried out in Osaka Bay using the MM5 mesoscale meteorological model. A comparison of the calculated numerical results with the observed ones was confirmed that the ocean surface wind in Osaka Bay was accurately estimated. Third, as an application of the estimation of wind or tidal current in the bay, navigational simulations of a sailing ship under the effects of the wind or tidal current were conducted using the numerical data of the ocean surface wind or tidal current separately. The importance of this simulation method for ship positioning was confirmed, as was the accurate estimation of the effects of wind or tidal current in coastal water on a sailing ship in a navigational simulation for optimum weather routing.

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Bezruk, Valeriy, and Grigoriy Khlopov. "Radar recognition of given and unknown meteorological objects." In 2018 14th International Conference on Advanced Trends in Radioelecrtronics, Telecommunications and Computer Engineering (TCSET). IEEE, 2018. http://dx.doi.org/10.1109/tcset.2018.8336150.

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Bezruk, Valeriy, Grigoriy Khlopov, and Zdenek Nemec. "Recognition of unknown meteorological objects in radar probing." In 2016 International Symposium ELMAR. IEEE, 2016. http://dx.doi.org/10.1109/elmar.2016.7731772.

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Huston, Andrew, Yan Zhang, Guifu Zhang, Mark Yeary, and Robert T. Neece. "A Laboratory Study for Dual-Polarization Scattering Characteristics of Meteorological Objects." In 2008 IEEE Instrumentation and Measurement Technology Conference - I2MTC 2008. IEEE, 2008. http://dx.doi.org/10.1109/imtc.2008.4547088.

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Звіти організацій з теми "Meteorological Object"

Clausen, Jay, Susan Frankenstein, Jason Dorvee, Austin Workman, Blaine Morriss, Keran Claffey, Terrance Sobecki, et al. Spatial and temporal variance of soil and meteorological properties affecting sensor performance—Phase 2. Engineer Research and Development Center (U.S.), September 2021. http://dx.doi.org/10.21079/11681/41780.

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An approach to increasing sensor performance and detection reliability for buried objects is to better understand which physical processes are dominant under certain environmental conditions. The present effort (Phase 2) builds on our previously published prior effort (Phase 1), which examined methods of determining the probability of detection and false alarm rates using thermal infrared for buried-object detection. The study utilized a 3.05 × 3.05 m test plot in Hanover, New Hampshire. Unlike Phase 1, the current effort involved removing the soil from the test plot area, homogenizing the material, then reapplying it into eight discrete layers along with buried sensors and objects representing targets of inter-est. Each layer was compacted to a uniform density consistent with the background undisturbed density. Homogenization greatly reduced the microscale soil temperature variability, simplifying data analysis. The Phase 2 study spanned May–November 2018. Simultaneous measurements of soil temperature and moisture (as well as air temperature and humidity, cloud cover, and incoming solar radiation) were obtained daily and recorded at 15-minute intervals and coupled with thermal infrared and electro-optical image collection at 5-minute intervals.

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Workman, Austin, and Jay Clausen. Meteorological property and temporal variable effect on spatial semivariance of infrared thermography of soil surfaces for detection of foreign objects. Engineer Research and Development Center (U.S.), June 2021. http://dx.doi.org/10.21079/11681/41024.

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The environmental phenomenological properties responsible for the thermal variability evident in the use of thermal infrared (IR) sensor systems is not well understood. The research objective of this work is to understand the environmental and climatological properties contributing to the temporal and spatial thermal variance of soils. We recorded thermal images of surface temperature of soil as well as several meteorological properties such as weather condition and solar irradiance of loamy soil located at the Cold Regions Research and Engineering Lab (CRREL) facility. We assessed sensor performance by analyzing how recorded meteorological properties affected the spatial structure by observing statistical differences in spatial autocorrelation and dependence parameter estimates.

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