Location-Refining neural network: A new deep learning-based framework for Heavy Rainfall Forecast

[1]  Antonio Jose Homsi Goulart,et al.  On data selection for training wind forecasting neural networks , 2021, Comput. Geosci..

[2]  Weizhen Jiang,et al.  Overview on Failures of Urban Underground Infrastructures in Complex Geological Conditions due to Heavy Rainfall in China during 1994-2018 , 2021, Sustainable Cities and Society.

[3]  B. Pradhan,et al.  Interpretable and explainable AI (XAI) model for spatial drought prediction. , 2021, The Science of the total environment.

[4]  Yunming Ye,et al.  A Novel LSTM Model with Interaction Dual Attention for Radar Echo Extrapolation , 2021, Remote. Sens..

[5]  Marino Marrocu,et al.  Performance Comparison between Deep Learning and Optical Flow-Based Techniques for Nowcast Precipitation from Radar Images , 2020, Forecasting.

[6]  Yi Wang,et al.  Integration of convolutional neural network and conventional machine learning classifiers for landslide susceptibility mapping , 2020, Comput. Geosci..

[7]  J. Freeman,et al.  Content search within large environmental datasets using a convolution neural network , 2020, Comput. Geosci..

[8]  Vikram M. Gadre,et al.  A comparative study of wavelet-based ANN and classical techniques for geophysical time-series forecasting , 2020, Comput. Geosci..

[9]  Yangbo Chen,et al.  Risk Assessment of Flood Disaster Induced by Typhoon Rainstorms in Guangdong Province, China , 2019, Sustainability.

[10]  Philip S. Yu,et al.  PredRNN++: Towards A Resolution of the Deep-in-Time Dilemma in Spatiotemporal Predictive Learning , 2018, ICML.

[11]  Qian Li,et al.  A Method of Weather Radar Echo Extrapolation Based on Convolutional Neural Networks , 2018, MMM.

[12]  Wang-chun Woo,et al.  Operational Application of Optical Flow Techniques to Radar-Based Rainfall Nowcasting , 2017 .

[13]  Seyed-Ahmad Ahmadi,et al.  V-Net: Fully Convolutional Neural Networks for Volumetric Medical Image Segmentation , 2016, 2016 Fourth International Conference on 3D Vision (3DV).

[14]  Dit-Yan Yeung,et al.  Convolutional LSTM Network: A Machine Learning Approach for Precipitation Nowcasting , 2015, NIPS.

[15]  Sebastiano Battiato,et al.  A Robust Image Alignment Algorithm for Video Stabilization Purposes , 2011, IEEE Transactions on Circuits and Systems for Video Technology.

[16]  I. Jolliffe,et al.  Equitability Revisited: Why the ''Equitable Threat Score'' Is Not Equitable , 2010 .

[17]  Georgios D. Evangelidis,et al.  Parametric Image Alignment Using Enhanced Correlation Coefficient Maximization , 2008, IEEE Transactions on Pattern Analysis and Machine Intelligence.

[18]  Eero P. Simoncelli,et al.  Image quality assessment: from error visibility to structural similarity , 2004, IEEE Transactions on Image Processing.

[19]  I. Zawadzki,et al.  Scale-Dependence of the Predictability of Precipitation from Continental Radar Images. Part I: Description of the Methodology , 2002 .

[20]  Yoshua Bengio,et al.  Convolutional networks for images, speech, and time series , 1998 .

[21]  Jürgen Schmidhuber,et al.  Long Short-Term Memory , 1997, Neural Computation.

[22]  M. Woo,et al.  Rainfall in Guangdong province, South China , 1997 .

[23]  Stéphane Laroche,et al.  Retrievals of Horizontal Winds from Single-Doppler Clear-Air Data by Methods of Cross Correlation and Variational Analysis , 1995 .

[24]  J. Marshall,et al.  THE DISTRIBUTION OF RAINDROPS WITH SIZE , 1948 .

[25]  Oleg R. Nikitin,et al.  All convolutional neural networks for radar-based precipitation nowcasting , 2019, Procedia Computer Science.

[26]  P. Carrega Heavy Rainfall Hazards , 2004 .

[27]  Antonis D. Koussis,et al.  Flood Forecasts for Urban Basin with Integrated Hydro‐Meteorological Model , 2003 .

[28]  Wei Qing RELATIONSHIP BETWEEN RAIN PATTERN AND MOTION OF TROPICAL CYCLONES MAKING LANDFALL IN GUANGDONG , 2003 .