Precipitation Retrieval from Fengyun-3D Microwave Humidity and Temperature Sounder Data Using Machine Learning [PDF]
Remote Sensing, 2022 As an important component of the Earth system, precipitation plays a vital role in regional and global water cycles. Based on Microwave Humidity and Temperature Sounder (MWHTS) onboard FY-3D satellite, four machine learning models, random forest ...
Kangwen Liu, Jieying He, Haonan Chen
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Effect of precipitation on synthetic aperture radar hurricane wind field retrieval [PDF]
Frontiers in Environmental Science, 2022 C-band synthetic aperture radar (SAR) with all-weather observation capability is gradually being used for the high-resolution observation of hurricane. The extreme wind speed in hurricanes is retrieved by combining the co- and cross-polarized SAR signals.
Chaogang Guo +4 more
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The Passive microwave Neural network Precipitation Retrieval (PNPR) algorithm for AMSU/MHS observations: description and application to European case studies [PDF]
Atmospheric Measurement Techniques, 2015 The purpose of this study is to describe a new algorithm based on a neural network approach (Passive microwave Neural network Precipitation Retrieval – PNPR) for precipitation rate estimation from AMSU/MHS observations, and to provide examples of its ...
P. Sanò +7 more
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The Passive Microwave Neural Network Precipitation Retrieval (PNPR) Algorithm for the CONICAL Scanning Global Microwave Imager (GMI) Radiometer [PDF]
Remote Sensing, 2018 This paper describes a new rainfall rate retrieval algorithm, developed within the EUMETSAT H SAF program, based on the Passive microwave Neural network Precipitation Retrieval approach (PNPR v3), designed to work with the conically scanning Global ...
Paolo Sanò +6 more
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Infrared Precipitation Retrieval Method Based on Residual Deep Forest
IEEE Journal of Selected Topics in Applied Earth Observations and Remote SensingPrecipitation inversion techniques are crucial in meteorological research, aiming to accurately detect the location and intensity of precipitation events, which is vital for extreme weather response strategies.
Caijilahu Bao +10 more
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DeepPrecip: a deep neural network for precipitation retrievals [PDF]
Atmospheric Measurement Techniques, 2022 Remotely-sensed precipitation retrievals are critical for advancing our understanding of global energy and hydrologic cycles in remote regions. Radar reflectivity profiles of the lower atmosphere are commonly linked to precipitation through empirical ...
F. King +7 more
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Remote Sensing, 2022 Near-real-time precipitation retrieval plays an important role in the study of the evolutionary process of precipitation and the prevention of disasters caused by heavy precipitation.
Danfeng Zhang +4 more
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An improved near-real-time precipitation retrieval for Brazil [PDF]
Atmospheric Measurement Techniques, 2022 Observations from geostationary satellites can provide spatially continuous coverage at continental scales with high spatial and temporal resolution. Because of this, they are commonly used to complement ground-based precipitation measurements, whose ...
S. Pfreundschuh +4 more
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PRSOT: Precipitation Retrieval from Satellite Observations Based on Transformer
Atmosphere, 2022 Precipitation with high spatial and temporal resolution can improve the defense capability of meteorological disasters and provide indispensable instruction and early warning for social public services, such as agriculture, forestry, and transportation ...
Zhaoying Jia +6 more
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A unified synergistic retrieval of clouds, aerosols, and precipitation from EarthCARE: the ACM-CAP product [PDF]
Atmospheric Measurement Techniques, 2023 ACM-CAP provides a synergistic best-estimate retrieval of all clouds, aerosols, and precipitation detected by the atmospheric lidar (ATLID), cloud-profiling radar (CPR), and multi-spectral imager (MSI) aboard EarthCARE (Earth Cloud Aerosol and Radiation ...
S. L. Mason +7 more
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