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Application of Multi-channel 3D-cube Successive Convolution Network for Convective Storm Nowcasting

https://doi.org/10.1109/bigdata47090.2019.9005568
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What this work says

Outgoing claims: the papers this work cites, builds on, or argues with.

inferredcites →https://doi.org/10.1002/0471722146.ch2openalex-snapshot
Multiple Logistic Regression
inferredcites →https://doi.org/10.1016/c2010-0-65519-2openalex-snapshot
Statistical Methods in the Atmospheric Sciences
inferredcites →https://doi.org/10.1016/j.ins.2015.08.007openalex-snapshot
3D object understanding with 3D Convolutional Neural Networks
inferredcites →https://doi.org/10.1016/j.patrec.2005.10.010openalex-snapshot
An introduction to ROC analysis
inferredcites →https://doi.org/10.1016/s0169-8095(01)00100-4openalex-snapshot
Cell tracking with TRACE3D—a new algorithm
inferredcites →https://doi.org/10.1038/273287a0openalex-snapshot
Three-dimensional storm motion detection by conventional weather radar
inferredcites →https://doi.org/10.1038/nature14539openalex-snapshot
Deep learning
inferredcites →https://doi.org/10.1109/5.726791openalex-snapshot
Gradient-based learning applied to document recognition
inferredcites →https://doi.org/10.1109/cvpr.2014.223openalex-snapshot
Large-Scale Video Classification with Convolutional Neural Networks
inferredcites →https://doi.org/10.1109/cvpr.2014.81openalex-snapshot
Rich Feature Hierarchies for Accurate Object Detection and Semantic Segmentation
inferredcites →https://doi.org/10.1109/cvpr.2015.7298594openalex-snapshot
Going deeper with convolutions
inferredcites →https://doi.org/10.1109/cvpr.2015.7298801openalex-snapshot
3D ShapeNets: A deep representation for volumetric shapes
inferredcites →https://doi.org/10.1109/cvpr.2015.7299117openalex-snapshot
A Dynamic Convolutional Layer for short rangeweather prediction
inferredcites →https://doi.org/10.1109/cvpr.2016.94openalex-snapshot
Deep Sliding Shapes for Amodal 3D Object Detection in RGB-D Images
inferredcites →https://doi.org/10.1109/ijcnn.2015.7280812openalex-snapshot
Forecasting the weather of Nevada: A deep learning approach
inferredcites →https://doi.org/10.1109/iros.2015.7353481openalex-snapshot
VoxNet: A 3D Convolutional Neural Network for real-time object recognition
inferredcites →https://doi.org/10.1109/iscas.2010.5537897openalex-snapshot
Embedded facial image processing with Convolutional Neural Networks
inferredcites →https://doi.org/10.1109/tpami.2012.59openalex-snapshot
3D Convolutional Neural Networks for Human Action Recognition
inferredcites →https://doi.org/10.1126/science.3287615openalex-snapshot
Measuring the Accuracy of Diagnostic Systems
inferredcites →https://doi.org/10.1145/2783258.2783275openalex-snapshot
A Deep Hybrid Model for Weather Forecasting
inferredcites →https://doi.org/10.1145/3065386openalex-snapshot
ImageNet classification with deep convolutional neural networks
inferredcites →https://doi.org/10.1155/2007/21724openalex-snapshot
Real-Time Video Convolutional Face Finder on Embedded Platforms
inferredcites →https://doi.org/10.1175/1520-0426(1987)004<0422:omfaat>2.0.co;2openalex-snapshot
Objective Method for Analysis and Tracking of Convective Cells as Seen by Radar
inferredcites →https://doi.org/10.1175/1520-0426(1990)007<0218:dotbla>2.0.co;2openalex-snapshot
Determination of the Boundary Layer Airflow from a Single Doppler Radar
inferredcites →https://doi.org/10.1175/1520-0426(1993)010<0785:ttitaa>2.0.co;2openalex-snapshot
TITAN: Thunderstorm Identification, Tracking, Analysis, and Nowcasting—A Radar-based Methodology
inferredcites →https://doi.org/10.1175/1520-0434(1990)005<0570:tcsiaa>2.0.co;2openalex-snapshot
The Critical Success Index as an Indicator of Warning Skill
inferredcites →https://doi.org/10.1175/1520-0450(1995)034<1286:nomago>2.0.co;2openalex-snapshot
Nowcasting of Motion and Growth of Precipitation with Radar over a Complex Orography
inferredcites →https://doi.org/10.1175/1520-0477(1998)079<2079:ntasr>2.0.co;2openalex-snapshot
Nowcasting Thunderstorms: A Status Report
inferredcites →https://doi.org/10.1175/2007waf2007005.1openalex-snapshot
Experiences with 0–36-h Explicit Convective Forecasts with the WRF-ARW Model
inferredcites →https://doi.org/10.1175/2008jtecha1084.1openalex-snapshot
3D Convective Storm Identification, Tracking, and Forecasting—An Enhanced TITAN Algorithm
inferredcites →https://doi.org/10.1175/2010waf2222336.1openalex-snapshot
A Frequent-Updating Analysis System Based on Radar, Surface, and Mesoscale Model Data for the Beijing 2008 Forecast Demonstration Project
inferredcites →https://doi.org/10.1175/bams-d-11-00263.1openalex-snapshot
Use of NWP for Nowcasting Convective Precipitation: Recent Progress and Challenges
inferredcites →https://doi.org/10.1175/jhm-d-15-0075.1openalex-snapshot
A Deep Neural Network Modeling Framework to Reduce Bias in Satellite Precipitation Products
inferredcites →https://doi.org/10.1186/1687-3963-2007-021724openalex-snapshot
Real-Time Video Convolutional Face Finder on Embedded Platforms
inferredcites →https://doi.org/10.2307/1271312openalex-snapshot
Statistical Methods in the Atmospheric Sciences
inferredcites →https://doi.org/10.48550/arxiv.1409.1556openalex-snapshot
Very Deep Convolutional Networks for Large-Scale Image Recognition
inferredcites →https://doi.org/10.48550/arxiv.1412.6806openalex-snapshot
Striving for Simplicity: The All Convolutional Net
inferredcites →https://doi.org/10.48550/arxiv.1506.04214openalex-snapshot
Convolutional LSTM Network: A Machine Learning Approach for Precipitation Nowcasting
inferredcites →https://doi.org/10.48550/arxiv.1605.01156openalex-snapshot
Application of Deep Convolutional Neural Networks for Detecting Extreme Weather in Climate Datasets

What points at this work

Incoming claims: where this work appears in other papers’ reference lists and arguments.

inferred← citeshttps://doi.org/10.2139/ssrn.4616995openalex-extracted
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inferred← citeshttps://doi.org/10.1002/qj.70236openalex-snapshot
DHDM: An interpretable masked deep‐learning model for hail potential forecasting
inferred← citeshttps://doi.org/10.1007/978-3-031-53092-0_7openalex-snapshot
Spatiotemporal Data Analysis: A Review of Techniques, Applications, and Emerging Challenges
inferred← citeshttps://doi.org/10.1007/978-3-032-10898-2_22openalex-snapshot
Enhancing Storm Forecasting Accuracy: Leveraging Extreme Gradient Boosting in Weather Forecasting
inferred← citeshttps://doi.org/10.1007/s00376-020-0043-5openalex-snapshot
Machine Learning-based Weather Support for the 2022 Winter Olympics
inferred← citeshttps://doi.org/10.1007/s00376-025-5120-3openalex-snapshot
Collaborative Assessment of Reflectivity Consistency between FY-3G Precipitation Measurement Radar and Ground-Based Radars
inferred← citeshttps://doi.org/10.1007/s00521-022-07590-xopenalex-snapshot
Recognition algorithm for deep convective clouds based on FY4A
inferred← citeshttps://doi.org/10.1007/s10115-023-01829-2openalex-snapshot
Climate modeling with neural advection–diffusion equation
inferred← citeshttps://doi.org/10.1007/s13351-019-8162-6openalex-snapshot
Forecasting Different Types of Convective Weather: A Deep Learning Approach
inferred← citeshttps://doi.org/10.1007/s13351-022-1140-4openalex-snapshot
QpefBD: A Benchmark Dataset Applied to Machine Learning for Minute-Scale Quantitative Precipitation Estimation and Forecasting
inferred← citeshttps://doi.org/10.1007/s13351-025-4907-6openalex-snapshot
Objective Nowcasting of Severe Convective Weather: Technological Progress and Outlook
inferred← citeshttps://doi.org/10.1016/j.jhydrol.2022.127748openalex-snapshot
A spatiotemporal deep learning model ST-LSTM-SA for hourly rainfall forecasting using radar echo images
inferred← citeshttps://doi.org/10.1080/13658816.2023.2191256openalex-snapshot
Explainable GeoAI: can saliency maps help interpret artificial intelligence’s learning process? An empirical study on natural feature detection
inferred← citeshttps://doi.org/10.1080/15481603.2026.2683939openalex-snapshot
Efficient 3D convolutional framework for rainfall nowcasting: performance–efficiency trade-offs and adaptation to data scarcity
inferred← citeshttps://doi.org/10.1109/access.2023.3282545openalex-snapshot
Spatio-Temporal Forecasting: A Survey of Data-Driven Models Using Exogenous Data
inferred← citeshttps://doi.org/10.1109/bigdata50022.2020.9377890openalex-snapshot
A Multi-task Two-stream Spatiotemporal Convolutional Neural Network for Convective Storm Nowcasting
inferred← citeshttps://doi.org/10.1109/igarss47720.2021.9554035openalex-snapshot
A Multi-Channel 3D Convolutional-Recurrent Neural Network for Convective Storm Nowcasting
inferred← citeshttps://doi.org/10.1109/ijcnn.2018.8489693openalex-snapshot
A Spatiotemporal Ensemble Approach to Rainfall Forecasting
inferred← citeshttps://doi.org/10.1109/jstars.2022.3189037openalex-snapshot
A Spatio-Temporal Neural Network for Fine-Scale Wind Field Nowcasting Based on Lidar Observation
inferred← citeshttps://doi.org/10.1109/jstars.2023.3262557openalex-snapshot
Toward a Deep-Learning-Network-Based Convective Weather Initiation Algorithm From the Joint Observations of Fengyun-4A Geostationary Satellite and Radar for 0–1h Nowcasting
inferred← citeshttps://doi.org/10.1109/metrosea58055.2023.10317406openalex-snapshot
A new technical approach to automatically detect the thermal drop in seawater associated to the occurrence of Medicane events
inferred← citeshttps://doi.org/10.1109/tgrs.2023.3267976openalex-snapshot
Pixel-CRN: A New Machine Learning Approach for Convective Storm Nowcasting
inferred← citeshttps://doi.org/10.1109/tkde.2020.3025580openalex-snapshot
Deep Learning for Spatio-Temporal Data Mining: A Survey
inferred← citeshttps://doi.org/10.1109/wcica.2018.8630701openalex-snapshot
Hail Storms Recognition Based on Convolutional Neural Network
inferred← citeshttps://doi.org/10.1117/1.jei.33.2.023058openalex-snapshot
Research on short-term and impending precipitation forecasting based on deep spatiotemporal network
inferred← citeshttps://doi.org/10.1175/jtech-d-19-0146.1openalex-snapshot
A Deep Learning Network for Cloud-to-Ground Lightning Nowcasting with Multisource Data
inferred← citeshttps://doi.org/10.1175/waf-d-19-0026.1openalex-snapshot
On the Construction Principle of Conceptual Models for Severe Convective Weather Forecasting Operations in China
inferred← citeshttps://doi.org/10.18494/sam3440openalex-snapshot
Three-dimensional Visualization of Particulate Matter Data Focused on Metropolitan and Gangnam Station Areas in South Korea
inferred← citeshttps://doi.org/10.21046/2070-7401-2020-17-6-18-22openalex-snapshot
Development of precipitation nowcasting method using geostationary satellite data
inferred← citeshttps://doi.org/10.3389/fclim.2026.1776202openalex-snapshot
A physical-environment-driven multi-stream deep neural network for short-term heavy precipitation potential identification
inferred← citeshttps://doi.org/10.3390/atmos14081201openalex-snapshot
Assessments of Use of Blended Radar–Numerical Weather Prediction Product in Short-Range Warning of Intense Rainstorms in Localized Systems (SWIRLS) for Quantitative Precipitation Forecast of Tropical Cyclone Landfall on Vietnam’s Coast
inferred← citeshttps://doi.org/10.3390/electronics10030321openalex-snapshot
XGB+FM for Severe Convection Forecast and Factor Selection
inferred← citeshttps://doi.org/10.3390/ijgi11070385openalex-snapshot
GeoAI for Large-Scale Image Analysis and Machine Vision: Recent Progress of Artificial Intelligence in Geography
inferred← citeshttps://doi.org/10.3390/rs12162536openalex-snapshot
GNSS-Based Machine Learning Storm Nowcasting
inferred← citeshttps://doi.org/10.3390/rs14225839openalex-snapshot
Quantitative Short-Term Precipitation Model Using Multimodal Data Fusion Based on a Cross-Attention Mechanism
inferred← citeshttps://doi.org/10.3390/rs16040675openalex-snapshot
Approximation of a Convective-Event-Monitoring System Using GOES-R Data and Ensemble ML Models
inferred← citeshttps://doi.org/10.3390/rs16183522openalex-snapshot
Exploration of Deep-Learning-Based Error-Correction Methods for Meteorological Remote-Sensing Data: A Case Study of Atmospheric Motion Vectors
inferred← citeshttps://doi.org/10.3390/w16243702openalex-snapshot
DFMM-Precip: Deep Fusion of Multi-Modal Data for Accurate Precipitation Forecasting
inferred← citeshttps://doi.org/10.3724/j.1006-8775.2024.028openalex-snapshot
Advances in Deep-Learning-based Precipitation Nowcasting Techniques
inferred← citeshttps://doi.org/10.5194/isprs-archives-xlvi-4-w3-2021-115-2022openalex-snapshot
AN ARTIFICIAL INTELLIGENCE APPROACH TO PREDICTION OF EXTREME EVENTS: THE CASE OF STORMS IN WESTERN FRANCE
inferred← citeshttps://doi.org/10.7717/peerj.4750openalex-snapshot
EnzyNet: enzyme classification using 3D convolutional neural networks on spatial representation
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