Relevant bibliographies by topics / Ground Weather Radars

Contents

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

Academic literature on the topic 'Ground Weather Radars'

Author: Grafiati
Published: 6 September 2023

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Journal articles on the topic "Ground Weather Radars"

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Protat, Alain, Valentin Louf, Joshua Soderholm, Jordan Brook, and William Ponsonby. "Three-way calibration checks using ground-based, ship-based, and spaceborne radars." Atmospheric Measurement Techniques 15, no. 4 (2022): 915–26. http://dx.doi.org/10.5194/amt-15-915-2022.

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Abstract. This study uses ship-based weather radar observations collected from research vessel Investigator to evaluate the Australian weather radar network calibration monitoring technique that uses spaceborne radar observations from the NASA Global Precipitation Mission (GPM). Quantitative operational applications such as rainfall and hail nowcasting require a calibration accuracy of ±1 dB for radars of the Australian network covering capital cities. Seven ground-based radars along the western coast of Australia and the ship-based OceanPOL radar are first calibrated independently using GPM r
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Lombardo, F., F. Napolitano, F. Russo, G. Scialanga, L. Baldini, and E. Gorgucci. "Rainfall estimation and ground clutter rejection with dual polarization weather radar." Advances in Geosciences 7 (February 16, 2006): 127–30. http://dx.doi.org/10.5194/adgeo-7-127-2006.

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Abstract. Conventional radars, used for atmospheric remote sensing, usually operate at a single polarization and frequency to estimate storm parameters such as rainfallrate and water content. Because of the high variability of the drop size distribution conventional radars do not succeed in obtaining detailed information because they just use horizontal reflectivity. The potentiality of the dual-polarized weather radar is investigated, in order to reject the ground-clutter, using differential reflectivity. In this light, a radar meteorology campaign was conducted over the city of Rome (Italy),
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Min, Chao, Sheng Chen, Jonathan J. Gourley, et al. "Coverage of China New Generation Weather Radar Network." Advances in Meteorology 2019 (June 16, 2019): 1–10. http://dx.doi.org/10.1155/2019/5789358.

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The China Meteorological Administration has deployed the China New Generation Weather Radar (CINRAD) network for severe weather detection and to improve initial conditions for numerical weather prediction models. The CINRAD network consists of 217 radars comprising 123 S-band and 94 C-band radars over mainland China. In this paper, a high-resolution digital elevation model (DEM) and beam propagation simulations are used to compute radar beam blockage and evaluate the effective radar coverage over China. Results show that the radar coverage at a height of 1 km above ground level (AGL) is restri
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Bestugin, A. R., M. B. Ryzhikov, and Iu A. Novikova. "The frequency range selection for airborne weather radar with the search for areas with the visibility of landmarks for flight and landing." Radio industry 28, no. 3 (2018): 8–17. http://dx.doi.org/10.21778/2413-9599-2018-28-3-8-17.

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A radar dome of a small aircraft can accommodate an antenna with a small aperture only. The energy potential and radiation parameters required for detection of hazardous weather events are thereby impaired. Mathematical modeling of the effect of wavelength change on the quality of radar meteorological forecast has been performed. Performance parameters of small-sized weather radars have been evaluated for enhancing the safety of the flights of small aircraft. Mathematics have been presented for comparing the efficiency of detecting dangerous thunderstorm areas with allowance for the signal ref
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Qi, Youcun, and Jian Zhang. "Correction of Radar QPE Errors Associated with Low and Partially Observed Brightband Layers." Journal of Hydrometeorology 14, no. 6 (2013): 1933–43. http://dx.doi.org/10.1175/jhm-d-13-040.1.

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Abstract The melting of aggregated snow/crystals often results in an enhancement of the reflectivity observed by weather radars, and this is commonly referenced as the bright band (BB). The locally high reflectivity often causes overestimation in radar quantitative precipitation estimates (QPE) if no appropriate correction is applied. When the melting layer is high, a complete BB layer profile (including top, peak, and bottom) can be observed by the ground radar, and a vertical profile of reflectivity (VPR) correction can be made to reduce the BB impact. When a melting layer is near the ground
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Marzano, Frank S., Errico Picciotti, Mario Montopoli, and Gianfranco Vulpiani. "Inside Volcanic Clouds: Remote Sensing of Ash Plumes Using Microwave Weather Radars." Bulletin of the American Meteorological Society 94, no. 10 (2013): 1567–86. http://dx.doi.org/10.1175/bams-d-11-00160.1.

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Microphysical and dynamical features of volcanic tephra due to Plinian and sub-Plinian eruptions can be quantitatively monitored by using ground-based microwave weather radars. The methodological rationale and unique potential of this remote-sensing technique are illustrated and discussed. Volume data, acquired by ground-based weather radars, are processed to automatically classify and estimate ash particle concentration and fallout. The physical– statistical retrieval algorithm is based on a backscattering microphysical model of fine, coarse, and lapilli ash particles, used within a Bayesian
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Leinonen, Jussi, Dmitri Moisseev, Matti Leskinen, and Walter A. Petersen. "A Climatology of Disdrometer Measurements of Rainfall in Finland over Five Years with Implications for Global Radar Observations." Journal of Applied Meteorology and Climatology 51, no. 2 (2012): 392–404. http://dx.doi.org/10.1175/jamc-d-11-056.1.

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AbstractTo improve the understanding of high-latitude rain microphysics and its implications for the remote sensing of rainfall by ground-based and spaceborne radars, raindrop size measurements have been analyzed that were collected over five years with a Joss–Waldvogel disdrometer located in Järvenpää, Finland. The analysis shows that the regional climate is characterized by light rain and small drop size with narrow size distributions and that the mutual relations of drop size distribution parameters differ from those reported at lower latitudes. Radar parameters computed from the distributi
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Louf, Valentin, Alain Protat, Robert A. Warren, et al. "An Integrated Approach to Weather Radar Calibration and Monitoring Using Ground Clutter and Satellite Comparisons." Journal of Atmospheric and Oceanic Technology 36, no. 1 (2019): 17–39. http://dx.doi.org/10.1175/jtech-d-18-0007.1.

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AbstractThe stability and accuracy of weather radar reflectivity calibration are imperative for quantitative applications, such as rainfall estimation, severe weather monitoring and nowcasting, and assimilation in numerical weather prediction models. Various radar calibration and monitoring techniques have been developed, but only recently have integrated approaches been proposed, that is, using different calibration techniques in combination. In this paper the following three techniques are used: 1) ground clutter monitoring, 2) comparisons with spaceborne radars, and 3) the self-consistency
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Li, Yinguang, Guifu Zhang, Richard Doviak, and Darcy Saxion. "Scan-to-Scan Correlation of Weather Radar Signals to Identify Ground Clutter." Geoscience and Remote Sensing Letters, IEEE 10, no. 4 (2013): 855–59. http://dx.doi.org/10.1109/lgrs.2012.2226233.

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The scan-to-scan correlation method to discriminate weather signals from ground clutter, described in this letter, takes advantage of the fact that the correlation time of radar echoes from hydrometeors is typically much shorter than that from ground objects. In this letter, the scan-to-scan correlation method is applied to data from the WSR-88D, and its results are compared with those produced by the WSR-88D's ground clutter detector. A subjective comparison with an operational clutter detection algorithm used on the network of weather radars shows that the scan-to-scan correlation method pro
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Hunzinger, Alexis, Joseph C. Hardin, Nitin Bharadwaj, Adam Varble, and Alyssa Matthews. "An extended radar relative calibration adjustment (eRCA) technique for higher-frequency radars and range–height indicator (RHI) scans." Atmospheric Measurement Techniques 13, no. 6 (2020): 3147–66. http://dx.doi.org/10.5194/amt-13-3147-2020.

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Abstract. This study extends the relative calibration adjustment technique for calibration of weather radars to higher-frequency radars as well as range–height indicator (RHI) scans. The calibration of weather radars represents one of the most dominant sources of error for their use in a variety of fields including quantitative precipitation estimation and model comparisons. While most weather radars are routinely calibrated, the frequency of calibration is often less than required, resulting in miscalibrated time periods. While full absolute calibration techniques often require the radar to b
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Dissertations / Theses on the topic "Ground Weather Radars"

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Arshad, Irshad Ahmad. "Using statistical methods for automatic classifications of clouds in ground-based photographs of the sky." Thesis, University of Essex, 2003. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.250129.

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Jones, David C. "Validation of scattering microwave radiative transfer models using an aircraft radiometer and ground-based radar." Thesis, University of Reading, 1995. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.284065.

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BERTOLDO, SILVANO. "X-band mini weather radar network and other wireless sensor networks for environmental monitoring." Doctoral thesis, Politecnico di Torino, 2014. http://hdl.handle.net/11583/2535714.

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The main section of the present Ph. D. thesis is related to X-band radars. Since 2005 the Remote Sensing Group of Department of Electronics and Telecommunications of Politecnico di Torino developed an X-band mini weather radar as a standalone sensor to measure rain. Some early results have been presented until 2011 showing the proper functioning and it has been decided to realize an experimental and operative integrated network of X-band radar devoted to rain measurement. The network structure deployed during the Ph. D. period is presented, together with the analysis, the study and the realiza
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Sindhu, Kapil Dev. "Characteristics of Convective Clouds Over the Indian Monsoon Zone from Weather Radar Data." Thesis, 2018. https://etd.iisc.ac.in/handle/2005/4144.

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Deep convective clouds play an important role in global energy balance through vertical transport of water vapor, momentum and energy, altering radiation and also influence hydrological cycle via precipitation. These clouds are organized mainly at Synoptic scale (~1000 km), Mesoscale (~100 km) and storm-scale (~10 km) and involve interactions from micro-scale (e.g., cloud condensation nuclei and droplets) to planetary scale. Physical processes associated with such clouds are the largest sources of uncertainty in atmospheric weather and climate models. Clouds involve rich physics and therefore,
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Mosier, Richard Matthew. "Radar-Derived Forecasts of Cloud-to-Ground Lightning Over Houston, Texas." 2009. http://hdl.handle.net/1969.1/ETD-TAMU-2009-12-7263.

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Ten years (1997 - 2006) of summer (June, July, August) daytime (14 - 00 Z) Weather Surveillance Radar - 1988 Doppler data for Houston, TX were examined to determine the best radar-derived lightning forecasting predictors. Convective cells were tracked using a modified version of the Storm Cell Identification and Tracking (SCIT) algorithm and then correlated to cloud-to-ground lightning data from the National Lightning Detection Network (NLDN). Combinations of three radar reflectivity values (30, 35, and 40 dBZ) at four isothermal levels (-10, -15, -20, and updraft -10 degrees C) and a new rada
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LEONI, LORENZO. "Shallow landslides triggered by rainfall: integration between ground-based weather radar and slope stability models in near-real time." Doctoral thesis, 2008. http://hdl.handle.net/2158/547918.

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Fotheringham, T. J. "Comparison of geophysical techniques to determine depth to bedrock in complex weathered environments of the Mount Crawford region, South Australia." Thesis, 2013. http://hdl.handle.net/2440/100086.

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This item is only available electronically.<br>Geophysical techniques have the ability to characterise the subsurface and define the depth to bedrock. The non-destructive nature and relatively cheap costs of geophysical surveying compared to drilling make it an attractive tool for subsurface analysis. Many studies have utilized geophysics to interpret soil features such as clay content, water content, salinity, textural properties and bulk density. Further work has been done to map the regolith-bedrock boundary. Previous work has been conducted in the Mount Crawford region using remote sensing
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Books on the topic "Ground Weather Radars"

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Hinton, David A. Airborne derivation of microburst alerts from ground-based terminal doppler weather radar information: A flight evaluation. National Aeronautics and Space Administration, Langley Research Center, 1993.

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A Comparison of Horizontal Cloud-To-Ground Lightning Flash Distance Using Weather Surveillance Radar And The Distance Between Successive Flashes Method. Storming Media, 1999.

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Book chapters on the topic "Ground Weather Radars"

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van Gorp, Jacques J. "Ground Clutter Reduction During Rain Measurements by a Noncoherent Radar System." In Weather Radar Networking. Springer Netherlands, 1990. http://dx.doi.org/10.1007/978-94-009-0551-1_26.

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Baldini, Luca, Nicoletta Roberto, Mario Montopoli, and Elisa Adirosi. "Ground-Based Weather Radar to Investigate Thunderstorms." In Remote Sensing of Clouds and Precipitation. Springer International Publishing, 2018. http://dx.doi.org/10.1007/978-3-319-72583-3_4.

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Zhang, Shuai, Jian-xin He, and Zhao Shi. "Ground Clutter Analysis and Suppression of Airborne Weather Radar." In Electrical Engineering and Control. Springer Berlin Heidelberg, 2011. http://dx.doi.org/10.1007/978-3-642-21765-4_66.

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Williams, John K., and Gregory Meymaris. "Remote Turbulence Detection Using Ground-Based Doppler Weather Radar." In Aviation Turbulence. Springer International Publishing, 2016. http://dx.doi.org/10.1007/978-3-319-23630-8_7.

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Marzano, Frank S. "Weather Radar Remote Sensing of Volcanic Ash Clouds for Aviation Hazard and Civil Protection Applications." In Integrated Ground-Based Observing Systems. Springer Berlin Heidelberg, 2010. http://dx.doi.org/10.1007/978-3-642-12968-1_11.

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Rukundo, Wellen. "Ionospheric Electron Density and Electron Content Models for Space Weather Monitoring." In Magnetosphere and Solar Winds, Humans and Communication. IntechOpen, 2022. http://dx.doi.org/10.5772/intechopen.103079.

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Monitoring and prediction of space weather phenomena and associated effects requires an understanding of the ionospheric response related to ionospheric electron content and electron density redistribution. These ionospheric response effects to space weather over time have been quantified by ground station measurements (ionosondes, radars, and GPS), satellite and rocket measurements, and estimations from ionospheric models. However, the progressive development of ionospheric models has had inconsistences in trying to describe the redistribution of electron density in response to extreme space weather conditions. In this chapter, we review and discuss the recent developments, progress, improvements, and existing challenges in the developed ionospheric models for prediction and forecasting space weather events and the need for continuous validation. The utilization of deep learning and neural network techniques in developing more flexible, reliable, and accurate data-driven ionospheric models for space weather prediction is also discussed. We also emphasized the roles of International and national Organizations like COSPAR, URSI, ITU, CCIR, and other research and education institutions in supporting and maintaining observatories for real-time monitoring and measurements of ionospheric electron density and TEC.
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Brock, Fred V., and Scott J. Richardson. "Precipitation Rate." In Meteorological Measurement Systems. Oxford University Press, 2001. http://dx.doi.org/10.1093/oso/9780195134513.003.0011.

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Accurate rainfall measurements are required, usually over broad areas because of the natural variability of rain. Coverage of a large area can be achieved using many distributed point measurement instruments or a remote sensor with large areal coverage, such as radar, or both. This chapter describes several methods for measuring precipitation, both liquid and frozen types. Point measurements, e.g., rain gauges, are emphasized although a section on weather radar is included because this is a very important method of estimating precipitation. Precipitation rate could be specified as the mass flow rate of liquid or solid water across a horizontal plane per unit time: Mw in kg m-2 s-1. Water density is a function of temperature but that can be ignored in this context; then the volume flow rate, or precipitation rate, becomes R = Mw/pw in m s-1 or, more conveniently, in units of mm hr-1 or mm day-1. Precipitation rate is the depth to which a flat horizontal surface would have been covered per unit time if no water were lost by run-off, evaporation, or percolation. Precipitation rate is the quantity used in all applications but, in many cases, the unit of time is not specified, being understood for the application, commonly per day or per storm period. Some gauges measure precipitation, rain, snow and other frozen particles, while others measure only rain. Rainfall can be measured using point measurement techniques which involve measuring a collected sample of rain or measuring some property of the falling rain such as its optical effects. The other general technique is to use remote sensing, usually radar, to estimate rainfall over a large area. Both ground-based and space-based radars are used for rain measurement. A precipitation gage (US) or gauge (elsewhere) could be a simple open container on the ground to collect rain, snow, and hail. However, this is not a practical method for estimating the amount of precipitation because of the need to avoid wind effects, enhance accuracy and resolution, and make a measurement representative of a large area. These issues will be discussed in sect. 9.2.1.6.
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Valero, Mario M., Amanda Makowiecki, Alan Brewer, et al. "The California Fire Dynamics Experiment (CalFiDE): Developing Validation Data Sets for Coupled Fire-Atmosphere Simulations." In Advances in Forest Fire Research 2022. Imprensa da Universidade de Coimbra, 2022. http://dx.doi.org/10.14195/978-989-26-2298-9_62.

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The California Fire Dynamics Experiment (CalFiDE) is a 6-week study of wildfire behavior and its response to spatially and temporally evolving wind fields in California, USA. It is the result of a partnership between the Chemical Sciences Laboratory (CSL) at the National Oceanic and Atmospheric Administration (NOAA), the Wildfire Interdisciplinary Research Center (WIRC) at San Jose State University (SJSU) and University of Nevada, Reno. A Twin Otter aircraft will be instrumented and flown over landscape-scale wildfires in California between August 14 and September 30, 2022. Onboard instrumentation includes (i) a scanning Doppler lidar system capable of measuring vertical profiles of 3D wind speed and turbulence, (ii) a multispectral infrared imaging system designed to remotely sense fire behavior, (iii) NightFox fire radiative power sensors (iv) AIMMS probe to measure flight-level winds, temperature, and water vapor content, and (v) Chemistry instruments to sample flight level NOX , NOY, O3, CO and GHG. Airborne measurements will be complemented with ground-based mobile scanning radars and lidars, which will be positioned around the fire to characterize the spatial structure and internal dynamics of the smoke plume. This combination of sensors will provide a unique opportunity to characterize landscape-scale wildfire behavior, fire weather and fire atmospheric chemistry in a synchronized manner. We expect that the datasets resulting from this experiment will have a broad applicability in fundamental fire dynamics studies, fire model validation exercises and the calibration of spaceborne remote sensing fire observations.
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Dave, Divyang, Rajeev Kumar Gupta, Santosh Kumar Bharti, and Ved Prakash Singh. "Role of Meteorological Satellites and Radar in Weather Forecasting." In Artificial Intelligence of Things for Weather Forecasting and Climatic Behavioral Analysis. IGI Global, 2022. http://dx.doi.org/10.4018/978-1-6684-3981-4.ch002.

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Because of global warming, pollution, and many other factors, the environment is changing at an alarming rate. Accurate forecasting can assist people in making appropriate plans for activities such as harvesting, traveling, aviation, etc. Satellites and radar have been increasingly popular in weather forecasting over the previous few decades. The information collected by the satellite and radar can be used to monitor climate movement, track hurricanes, and give barometrical estimations that can be turned into mathematical climate expectation (NWP) models for exact forecasting. Currently, more than 160 meteorological satellites are located in orbit, which generates approximately 80 million observations every day. This chapter discusses several meteorological satellites which are used to extract weather pattern. For the time being, the results of Observation System Simulation Studies (OSSE) utilising satellite information are presented in order to demonstrate the relationship between perceptions from satellite sensors and ground-based sensors.
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Ferreiro, Larrie D. "Fight on the Landing Grounds." In Churchill's American Arsenal. Oxford University PressNew York, 2022. http://dx.doi.org/10.1093/oso/9780197554012.003.0004.

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Abstract Getting bombers and their escorting fighters to their targets over Europe was only half the battle; those aircraft still had to return through heavy weather to their home bases in Britain, and not be shot down by friendly forces in doing so. This chapter begins by describing how the Allies developed a new system, called Identification Friend or Foe (IFF), which allowed radar operators to distinguish Allied aircraft from enemy planes. It then describes a series of navigation and landing devices that permitted Allied aircraft to operate more securely at night and in heavy overcast. It then describes how a jointly developed radio beacon, named Eureka/Rebecca, became crucial for dropping special operations agents, commandos, and paratroopers behind enemy lines.
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Conference papers on the topic "Ground Weather Radars"

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Kubota, Takuji, Yoichi Saito, Kinji Furukawa, Sambit Kumar Panda, Bipasha Paul Shukla, and Atul Kumar Varma. "Evaluations of Ground-Based Weather Radars Over the India with the Spaceborne Precipitation Radar." In IGARSS 2022 - 2022 IEEE International Geoscience and Remote Sensing Symposium. IEEE, 2022. http://dx.doi.org/10.1109/igarss46834.2022.9883885.

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Borron, Steven E., and Martin P. Derby. "Ground Based Interferometric Synthetic Aperture Radar Combined With a Critical Slope Monitoring Program Will Provide Early Detection of Slope Movement Along Pipeline Corridors." In ASME-ARPEL 2019 International Pipeline Geotechnical Conference. American Society of Mechanical Engineers, 2019. http://dx.doi.org/10.1115/ipg2019-5333.

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Abstract The transition of satellite InSAR technology to a ground-based system provides a proven risk reduction technology if combined with a critical slope monitoring (CSM) program. Together the technology with the active engagement of a defined program can detect the onset of slope displacement, acceleration, and provide a method to determine slope collapse. Recently, using the radar software, Guardian, and its ability to document surface velocity in intervals of 24-hours or less has allowed for the development of site-specific levels of rockfall risk. The ground-based InSAR (interferometric
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Juan Qin, Renbiao Wu, Zhigang Su, and Xiaoguang Lu. "Ground clutter censoring for airborne weather radar employing DEM." In 2011 IEEE CIE International Conference on Radar (Radar). IEEE, 2011. http://dx.doi.org/10.1109/cie-radar.2011.6159940.

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Zhang, Shuna, Ling Wang, Daiyin Zhu, and Ye Zhou. "Ground Clutter Suppression for Weather Radar Using An Improved Wavelet Method." In 2021 CIE International Conference on Radar (Radar). IEEE, 2021. http://dx.doi.org/10.1109/radar53847.2021.10028558.

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Slavík, Martin, and Ondřej Vaculín. "Concept of Mission Control System for IN2Lab testing field for Automated Driving." In FISITA World Congress 2021. FISITA, 2021. http://dx.doi.org/10.46720/f2021-acm-119.

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"Automated driving brings very high demands on all vehicle systems. In order to meet these requirements, automated vehicles are equipped with various vehicle sensors to collect information about the actual vehicle environment. Current systems are based on data acquired by in-vehicle sensors, such as radar, lidar and camera, which generate a comprehensive environment model where an automated vehicle locates. The sensors differ in their technical performance parameters such as range, resolution, reliability, sensitivity and robustness. The use of heterogeneous sensors allows the technologies to
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Rachkov, Dmytro S., David I. Lekhovytskiy, Andrii V. Semeniaka, Viacheslav P. Riabukha, and Dmytro V. Atamanskiy. "Lattice-filter-based ground clutter canceller for pulse Doppler weather radar." In 2014 15th International Radar Symposium (IRS). IEEE, 2014. http://dx.doi.org/10.1109/irs.2014.6869251.

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Li, Yinguang, Guifu Zhang, and Richard J. Doviak. "A new approach to detect the ground clutter mixed with weather echoes." In 2011 IEEE Radar Conference (RadarCon). IEEE, 2011. http://dx.doi.org/10.1109/radar.2011.5960612.

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Renbiao Wu, Hai Li, and Yanfei Han. "Adaptive ground clutter suppression for airborne weather radar based on echoes power." In IET International Radar Conference 2013. Institution of Engineering and Technology, 2013. http://dx.doi.org/10.1049/cp.2013.0313.

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Falconi, Marta Tecla, Mario Montopoli, Frank Silvio Marzano, and Luca Baldini. "Weather radar performance monitoring using a metallic-grid ground-scatterer." In Active and Passive Microwave Remote Sensing for Environmental Monitoring, edited by Claudia Notarnicola, Nazzareno Pierdicca, and Emanuele Santi. SPIE, 2017. http://dx.doi.org/10.1117/12.2282163.

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Echevarria, Santiago, Jorge Cogo, and Juan Pablo Pascual. "Goodness-of-fit Based Weather Radar Ground Clutter Model Selection." In 2019 XVIII Workshop on Information Processing and Control (RPIC). IEEE, 2019. http://dx.doi.org/10.1109/rpic.2019.8882182.

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