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Key Technologies of Hydrometeor Classification and Mosaic Algorithm for X-band Polarimetric Radar
应用气象学报, 2021 The advantages of X-band polarimetric weather radar focus on its high spatio-temporal resolution and capability of multi-radar networking. However, the previously designed hydrometeor classification algorithm (HCA) for S-band weather radar is unsuitable ...
Wu Chong +4 more
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Weather radar and hydrology [PDF]
Advances in Water Resources, 2009 Keywords: Raindrop Size Distributions ; Rainfall Estimation ; Hydrometeor Classification ; Dynamic Topmodel ; Model ; Scale ; Catchment ; Methodology ; Variability ; Attenuation Reference LTE-ARTICLE-2009-002doi:10.1016/j.advwatres.2009.03.006View record in Web of Science Record created on 2009-03-05, modified on 2016-08 ...
Delrieu, Guy +11 more
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Eos, Transactions American Geophysical Union, 2004 Weather radar is an indispensable component for remote sensing of the atmosphere, and the data and products derived from weather radar are routinely used in climate and weather‐related studies to examine trends, structure, and evolution. The need for weather remote sensing is driven by the necessity to understand and explain a specific atmospheric ...
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Journal of Advances in Modeling Earth Systems, 2021 The impact of assimilating China's operational X‐band Phased‐Array radar's (X‐PAR) data on the analysis and warning forecast of the vortex structure and intensity of the June 8, 2018 Foshan, Guangdong province, tornadic storm was investigated for the ...
Chen Wang +9 more
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Remote Sensing, 2020 The microphysical characteristics of a mesoscale convective system (MCS) during a summer monsoon of South Korea are investigated using the generalized drop size distributions (DSD) that are derived from S-band dual-polarization radar data.
Soohyun Kwon, Sung-Hwa Jung, GyuWon Lee
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Atmosphere, 2022 In this paper, a dual-polarization weather radar echo signal simulation method is proposed for the evaluation of the performance enhancement of dual-polarization weather radar systems, the optimization of signal processing algorithms and the improvement ...
Shaojun Dai +6 more
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Precipitation estimation over radar gap areas based on satellite and adjacent radar observations [PDF]
Atmospheric Measurement Techniques, 2015 Continuous rainfall measurements from ground-based radars are crucial for monitoring and forecasting heavy rainfall-related events such as floods and landslides.
Y.-R. Lee +3 more
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Quantification of Migration Birds Based on Polarimetric Weather Radar
Remote Sensing, 2023 Weather radar plays an important role in monitoring aerial animal migration, providing a stable data source for biological studies with large-scale coverage and consecutive-time samples.
Rui Wang +5 more
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Animal Migration Patterns Extraction Based on Atrous-Gated CNN Deep Learning Model
Remote Sensing, 2021 Weather radar data can capture large-scale bird migration information, helping solve a series of migratory ecological problems. However, extracting and identifying bird information from weather radar data remains one of the challenges of radar ...
Shuaihang Wang +5 more
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RadarSLAM: Radar based Large-Scale SLAM in All Weathers
, 2020 Numerous Simultaneous Localization and Mapping (SLAM) algorithms have been presented in last decade using different sensor modalities. However, robust SLAM in extreme weather conditions is still an open research problem.
Hong, Ziyang, Petillot, Yvan, Wang, Sen
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