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Accuracy of Weather Radar Products for Rainfall Estimation in North Sumatra Region
Prisma Sains: Jurnal Pengkajian Ilmu dan Pembelajaran Matematika dan IPA IKIP Mataram, 2023 The weather radar is a remote sensing-based observation tool that identifies and records rainfall. Remote sensing is a technology that determines atmospheric conditions, measures rainfall, and performs other functions.
Yolanda Mutiara Tondang +3 more
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Surveillance Camera-Based Deep Learning Framework for High-Resolution Near Surface Precipitation Type Observation [PDF]
Atmospheric Measurement TechniquesUrban surveillance cameras offer a valuable resource for high spatiotemporal resolution observations of near surface precipitation type (SPT), with significant implications for sectors such as transportation, agriculture, and meteorology.
X. Wang +10 more
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Sense and Avoid Airborne Radar Implementations on a Low-Cost Weather Radar Platform
Aerospace, 2017 Traditionally, multi-mission applications in airborne radar are implemented through very expensive phased array architectures. The emerging applications from civilian surveillance, on the other hand, prefer low-cost and low-SWaP (space, weight and power)
Ramesh Nepal, Yan Zhang, William Blake
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Echo simulation of nonâspherical ice crystal particles for airborne weather radar
IET Radar, Sonar & Navigation, 2023 Aircrafts encounter ice crystal particles during flight, which can easily cause engines icing or even damage, so the detection of ice crystal particles for airborne weather radar is very important.
Hai Li, Kaihong Feng, Minghe Guo
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Spektra: Jurnal Fisika dan Aplikasinya, 2023 Weather radar is an active remote sensing instrument for various hydrological and meteorological applications. One advantage of weather radar is its ability to detect rainfall in space and time with high spatial resolution.
Wildan Nurahman +2 more
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EURASIP Journal on Wireless Communications and Networking, 2020 In the past few decades, radar reflectivity data have been widely used in thunderstorm identification research. Many thunderstorm identification algorithms for ground-based weather radar have been developed.
Xu Wang +6 more
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Improving the Completion of Weather Radar Missing Data with Deep Learning
Remote Sensing, 2023 Weather radars commonly suffer from the data-missing problem that limits their data quality and applications. Traditional methods for the completion of weather radar missing data, which are based on radar physics and statistics, have shown defects in ...
Aofan Gong, Haonan Chen, Guangheng Ni
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Weather Radar Data Compression Based on Spatial and Temporal Prediction
Atmosphere, 2018 The transmission and storage of weather radar products will be an important problem for future weather radar applications. The aim of this work is to provide a solution for real-time transmission of weather radar data and efficient data storage.
Qiangyu Zeng +3 more
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Technical Note: An open source library for processing weather radar data (wradlib) [PDF]
Hydrology and Earth System Sciences, 2013 The potential of weather radar observations for hydrological and meteorological research and applications is undisputed, particularly with increasing world-wide radar coverage. However, several barriers impede the use of weather radar data.
T. Pfaff, S. Jacobi, M. Heistermann
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Echo simulation of dual polarization Doppler weather radar based on the physical model
EURASIP Journal on Wireless Communications and Networking, 2020 Using the scattering characteristics of particles to simulate the radar echo can supply the test signals close to the real precipitation echo for the weather radar and save the time and cost of the research and development and maintenance of the weather ...
Qutie JieLa +4 more
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