Relevant bibliographies by topics / Radar quantique

Contents

  1. Journal articles
  2. Dissertations / Theses
  3. Book chapters
  4. Conference papers

Academic literature on the topic 'Radar quantique'

Author: Grafiati
Published: 13 December 2023
Last updated: 31 July 2025

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Journal articles on the topic "Radar quantique"

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Blanchard, Sophie, and Caroline Schickelé. "La pédagogie par l’image. Entretien avec Ève Barlier." Radar, no. 8 (May 1, 2023): 103–21. http://dx.doi.org/10.57086/radar.638.

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Illustratrice, autrice et graphiste, Ève Barlier réalise des supports visuels divers et variés sur des concepts biologiques, de la physique quantique à l’anatomie. En collaborant avec des organismes et des institutions, elle œuvre à la diffusion des connaissances scientifiques. Ève Barlier adapte son trait, de l’illustration à la bande dessinée, selon le type de public auquel elle destine ses ouvrages, afin de favoriser une meilleure compréhension des notions scientifiques. En évoquant les enjeux contemporains de l’illustration scientifique et le travail d’Ève Barlier, cet entretien met en évi
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Muravev, A. V., A. Yu Bundel, D. B. Kiktev, and A. V. Smirnov. "Expertise in spatial verification of radar precipitation nowcasting: identification and statistics of objects, situations and conditional samples." Hydrometeorological research and forecasting 2 (June 16, 2022): 6–52. http://dx.doi.org/10.37162/2618-9631-2022-2-6-52.

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Statistical analysis was performed using methods of the extreme value theory for spatial objects and specified situations identified for object-oriented verification of precipitation regions with substantial and maximal areas. We made an estimation of the effect of missing values at field points and of different observation-forecast pairs construction on volumes and on statistical characteristics of samples retrieved for spatial verification purposes. We used spatial quantile functions and geographical representations in regular coordinates to illustrate particular aspects of composite fields
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Song, Linye, Shangfeng Chen, Yun Li, et al. "The Quantile-Matching Approach to Improving Radar Quantitative Precipitation Estimation in South China." Remote Sensing 13, no. 23 (2021): 4956. http://dx.doi.org/10.3390/rs13234956.

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Weather radar provides regional rainfall information with a very high spatial and temporal resolution. Because the radar data suffer from errors from various sources, an accurate quantitative precipitation estimation (QPE) from a weather radar system is crucial for meteorological forecasts and hydrological applications. In the South China region, multiple weather radar networks are widely used, but the accuracy of radar QPE products remains to be analyzed and improved. Based on hourly radar QPE and rain gauge observation data, this study first analyzed the QPE error in South China and then app
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Wu, Shiang-Jen, Ho-Cheng Lien, Chih-Tsung Hsu, Che-Hao Chang, and Jhih-Cyuan Shen. "Modeling probabilistic radar rainfall estimation at ungauged locations based on spatiotemporal errors which correspond to gauged data." Hydrology Research 46, no. 1 (2013): 39–59. http://dx.doi.org/10.2166/nh.2013.197.

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This study presents a probabilistic radar rainfall estimation (PRRE) model to quantify the reliability and accuracy of the resulting radar rainfall estimates at ungauged locations from a radar-based quantitative precipitation estimation (QPE) model. This model primarily estimates the quantiles of the radar rainfall errors at ungauged locations by incorporating seven spatiotemporal variogram models with a nonparametric sample quantile estimate method based on the radar rainfall errors at rain gauges. Then, by adding the resulting error quantiles to the radar rainfall estimates, the correspondin
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Gyasi-Agyei, Yeboah. "Identification of the Optimum Rain Gauge Network Density for Hydrological Modelling Based on Radar Rainfall Analysis." Water 12, no. 7 (2020): 1906. http://dx.doi.org/10.3390/w12071906.

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Rain gauges continue to be sources of rainfall data despite progress made in precipitation measurements using radar and satellite technology. There has been some work done on assessing the optimum rain gauge network density required for hydrological modelling, but without consensus. This paper contributes to the identification of the optimum rain gauge network density, using scaling laws and bias-corrected 1 km × 1 km grid radar rainfall records, covering an area of 28,371 km2 that hosts 315 rain gauges in south-east Queensland, Australia. Varying numbers of radar pixels (rain gauges) were rep
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Zahiri, Eric-Pascal, Modeste Kacou, Marielle Gosset, and Sahouarizié Adama Ouattara. "Modeling the Interdependence Structure between Rain and Radar Variables Using Copulas: Applications to Heavy Rainfall Estimation by Weather Radar." Atmosphere 13, no. 8 (2022): 1298. http://dx.doi.org/10.3390/atmos13081298.

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In radar quantitative precipitation estimates (QPE), the progressive evolution of rainfall algorithms has been guided by attempts to reduce the uncertainties in rainfall retrieval. However, because most of the algorithms are based on the linear dependence between radar and rain variables and designed for rain rates ranging from light to moderate rainfall, they result in misleading estimations of intense or strong rainfall rates. In this paper, based on extensive data gathered during the AMMA and Megha-Tropiques data campaigns, we provided a way to improve the estimation of intense rainfall rat
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Brommundt, J., and A. Bárdossy. "Spatial correlation of radar and gauge precipitation data in high temporal resolution." Advances in Geosciences 10 (April 26, 2007): 103–9. http://dx.doi.org/10.5194/adgeo-10-103-2007.

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Abstract. A multi-sites precipitation time series generator for engineering designs is currently being developed. The objective is to generate several time series' simultaneously with correct inter-station relationships. Therefore, a model to estimate correlation between stations for arbitrary points in a project area is needed, using rain gauge data as well as radar data. Two methods are applied to compare the spatial behaviour of precipitation in both the rain gauge data and the radar data. The first approach is to calculate precipitation intensities from radar reflectivity and use it as gau
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Yang, Yuyao, and Chunbo Xiu. "Adaptive Constant False Alarm Detector Based on Composite Fuzzy Fusion Rules." Applied Sciences 15, no. 2 (2025): 942. https://doi.org/10.3390/app15020942.

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In order to improve the detection performance of the radar constant false alarm detector in a multiple-target environment, a Kaigh–Lachenbruch Quantile constant false alarm rate detector based on composite fuzzy fusion rules (CFKLQ-CFAR) is designed by combining fuzzy fusion rules and the Kaigh–Lachenbruch Quantile constant false alarm rate detector. Two sensors are used to collect environmental information, and the membership function value is calculated based on the collected information. Furthermore, the presence or absence of the target is judged compositely by four fuzzy fusion rules. CFK
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Rudolph, James V., Katja Friedrich, and Urs Germann. "Relationship between Radar-Estimated Precipitation and Synoptic Weather Patterns in the European Alps." Journal of Applied Meteorology and Climatology 50, no. 5 (2011): 944–57. http://dx.doi.org/10.1175/2010jamc2570.1.

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AbstractA 9-yr (2000–08) analysis of precipitation characteristics for the central and western European Alps has been generated from ground-based operational weather radar data provided by the Swiss radar network. The radar-based precipitation analysis focuses on the relationship between synoptic-scale weather patterns and mesoscale precipitation distribution over complex alpine terrain. The analysis divides the Alps into six regions (each approximately 200 × 200 km2 in size)—one on the northern side, two each on the western and southern sides of the Alps, and one in the Massif Central—represe
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Ding, Rong, Haiming Jin, Dong Xiang, et al. "Soil Moisture Sensing with UAV-Mounted IR-UWB Radar and Deep Learning." Proceedings of the ACM on Interactive, Mobile, Wearable and Ubiquitous Technologies 7, no. 1 (2022): 1–25. http://dx.doi.org/10.1145/3580867.

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Wide-area soil moisture sensing is a key element for smart irrigation systems. However, existing soil moisture sensing methods usually fail to achieve both satisfactory mobility and high moisture estimation accuracy. In this paper, we present the design and implementation of a novel soil moisture sensing system, named as SoilId, that combines a UAV and a COTS IR-UWB radar for wide-area soil moisture sensing without the need of burying any battery-powered in-ground device. Specifically, we design a series of novel methods to help SoilId extract soil moisture related features from the received r
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Dissertations / Theses on the topic "Radar quantique"

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Borderieux, Sylvain. "Apport de la théorie de l’information quantique dans la perspective du radar quantique." Electronic Thesis or Diss., Brest, École nationale supérieure de techniques avancées Bretagne, 2022. http://www.theses.fr/2022ENTA0011.

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Cette thèse propose une approche originale de la thématique du radar à illumination quantique en recourant à la théorie de l’information quantique pour étudier l’évolution des corrélations quantiques le long d’une chaîne radar. Ce mémoire propose d’abord un parallèle des différences et similitudes entre les théories du radar classique et du radar quantique en insistant sur les principes propres aux deux théories. Le radar à illumination quantique étudié utilise des paires de photons intriqués pour établir la présence ou l’absence d’un objet faiblement réfléchissant baigné dans un bruit thermiq
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Baili, Ghaya. "Contribution à la réduction du bruit d'intensité relatif des lasers à semiconducteurs pour des applications aux radars." Paris 11, 2008. http://www.theses.fr/2008PA112362.

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L’objectif du travail de thèse présenté est d’étudier deux techniques originales de réduction du bruit d’intensité relatif (RIN) des lasers à semiconducteur pour le transport des signaux radar par voie optique. La première technique consiste à exploiter, dans une fibre à compensation de dispersion et à faibles pertes, les mécanismes de conversion du bruit d’amplitude en bruit de phase et du bruit de phase en bruit d’amplitude avec une bonne dynamique sur une bande fréquence égale à 20 GHz. La deuxième technique consiste à supprimer les oscillations de relaxation dans le laser SC en recherchant
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Book chapters on the topic "Radar quantique"

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Marghany, Maged. "Quantize of scattering theory." In Synthetic Aperture Radar Imaging Mechanism for Oil Spills. Elsevier, 2020. http://dx.doi.org/10.1016/b978-0-12-818111-9.00005-7.

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Conference papers on the topic "Radar quantique"

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Pavy, Anne M., and Brian D. Rigling. "Phase modulated radar waveform classification using quantile one-class SVMs." In 2015 IEEE International Radar Conference (RadarCon). IEEE, 2015. http://dx.doi.org/10.1109/radar.2015.7131095.

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