Estimation of Hourly Rainfall during Typhoons Using Radar Mosaic-Based Convolutional Neural Networks

[1]  Chih-Chiang Wei Surface Wind Nowcasting in the Penghu Islands Based on Classified Typhoon Tracks and the Effects of the Central Mountain Range of Taiwan , 2014 .

[2]  Sim D. Aberson,et al.  The Impact of Dropwindsonde Data on Typhoon Track Forecasts in DOTSTAR , 2007 .

[4]  Dawei Han,et al.  High temporal resolution rainfall rate estimation from rain gauge measurements , 2017 .

[5]  Ying-Hwa Kuo,et al.  Typhoons Affecting Taiwan: Current Understanding and Future Challenges , 1999 .

[6]  P. Claps,et al.  Radar Estimation of Intense Rainfall Rates through Adaptive Calibration of the Z-R Relation , 2015 .

[7]  Hidde Leijnse,et al.  Identification and uncertainty estimation of vertical reflectivity profiles using a Lagrangian approach to support quantitative precipitation measurements by weather radar , 2013 .

[8]  Guifu Zhang,et al.  Precipitation microphysics characteristics of a Typhoon Matmo (2014) rainband after landfall over eastern China based on polarimetric radar observations , 2016 .

[9]  Melinda S. Peng,et al.  Sensitivity of Typhoon Track Predictions in a Regional Prediction System to Initial and Lateral Boundary Conditions , 2009 .

[10]  Koichi Nakayama,et al.  A neural network-based local rainfall prediction system using meteorological data on the Internet: A case study using data from the Japan Meteorological Agency , 2017, Appl. Soft Comput..

[11]  A. Ihler,et al.  Precipitation Identification with Bispectral Satellite Information Using Deep Learning Approaches , 2017 .

[12]  Witold F. Krajewski,et al.  Radar hydrology: rainfall estimation. , 2002 .

[13]  Gwo-Fong Lin,et al.  Ensemble forecasting of typhoon rainfall and floods over a mountainous watershed in Taiwan , 2013 .

[14]  Shu‐Hua Chen,et al.  On the Upstream Track Deflection of Tropical Cyclones Past a Mountain Range: Idealized Experiments , 2016 .

[15]  Uwe Stilla,et al.  Deep Learning Earth Observation Classification Using ImageNet Pretrained Networks , 2016, IEEE Geoscience and Remote Sensing Letters.

[16]  Chih-Chiang Wei,et al.  Soft computing techniques in ensemble precipitation nowcast , 2013, Appl. Soft Comput..

[17]  C. Yoo,et al.  Calibrating radar data in an orographic setting: A case study for the Typhoon Nakri in the Hallasan Mountain, Korea , 2017 .

[18]  Hsuan-Tien Lin,et al.  Estimating Tropical Cyclone Intensity by Satellite Imagery Utilizing Convolutional Neural Networks , 2019, Weather and Forecasting.

[19]  Lijun Zhao,et al.  Remote Sensing Image Scene Classification Using CNN-CapsNet , 2019, Remote. Sens..

[20]  Nan-Jing Wu,et al.  Applications of Cluster Analysis and Pattern Recognition for Typhoon Hourly Rainfall Forecast , 2017 .

[21]  Chih-Chiang Wei Examining El Niño-Southern Oscillation Effects in the Subtropical Zone to Forecast Long-Distance Total Rainfall from Typhoons: A Case Study in Taiwan , 2017 .

[22]  Xiaodong Gu,et al.  Towards dropout training for convolutional neural networks , 2015, Neural Networks.

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

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

[25]  Gaël Varoquaux,et al.  Scikit-learn: Machine Learning in Python , 2011, J. Mach. Learn. Res..

[26]  Hsiao-Chung Tsai,et al.  Maximum Covariance Analysis of Typhoon Surface Wind and Rainfall Relationships in Taiwan , 2009 .

[27]  Y. Kuo,et al.  Rainfall Simulation Associated with Typhoon Herb (1996) near Taiwan. Part I: The Topographic Effect , 2001 .

[28]  Jinsheng Roan,et al.  Diagnosing Rain Occurrences Using Passive Microwave Imagery: A Comparative Study on Probabilistic Graphical Models and “Black Box” Models , 2015 .

[29]  Konstantine P. Georgakakos Covariance propagation and updating in the context of real-time radar data assimilation by quantitative precipitation forecast models , 2000 .

[30]  Frédéric Fabry,et al.  On the Climatological Use of Radar Data Mosaics: Possibilities and Challenges , 2017 .

[31]  Chih-Chiang Wei,et al.  Parameter Automatic Calibration Approach for Neural-Network-Based Cyclonic Precipitation Forecast Models , 2015 .

[32]  V. Chandrasekar,et al.  Cross-Validation of Observations between the GPM Dual-Frequency Precipitation Radar and Ground Based Dual-Polarization Radars , 2018, Remote. Sens..

[33]  V. V. Srinivas,et al.  Downscaling of precipitation for climate change scenarios: A support vector machine approach , 2006 .

[34]  Stefano Tubaro,et al.  Deep Convolutional Neural Networks for pedestrian detection , 2015, Signal Process. Image Commun..

[35]  Chih-Chiang Wei,et al.  Meta-heuristic Bayesian networks retrieval combined polarization corrected temperature and scattering index for precipitations , 2014, Neurocomputing.

[36]  Maria Mimikou,et al.  Flood Forecasting Based on Radar Rainfall Measurements , 1996 .

[37]  Yanfei Liu,et al.  Scene Classification Based on a Deep Random-Scale Stretched Convolutional Neural Network , 2018, Remote. Sens..

[38]  C. Matyas,et al.  A Nowcasting Model for Tropical Cyclone Precipitation Regions Based on the TREC Motion Vector Retrieval with a Semi-Lagrangian Scheme for Doppler Weather Radar , 2018 .

[39]  V. Jothiprakash,et al.  Data-driven multi-time-step ahead daily rainfall forecasting using singular spectrum analysis-based data pre-processing , 2018 .

[40]  Seongmun Sim,et al.  Tropical Cyclone Intensity Estimation Using Multi-Dimensional Convolutional Neural Networks from Geostationary Satellite Data , 2019, Remote. Sens..

[41]  Y. Kuo,et al.  The Impacts of Taiwan Topography on the Predictability of Typhoon Morakot’s Record-Breaking Rainfall: A High-Resolution Ensemble Simulation , 2010 .

[42]  Shu‐Hua Chen,et al.  Topographic Rainfall of Tropical Cyclones past a Mountain Range as Categorized by Idealized Simulations , 2019, Weather and forecasting.

[43]  Jefersson Alex dos Santos,et al.  Towards better exploiting convolutional neural networks for remote sensing scene classification , 2016, Pattern Recognit..

[44]  Jing Duan,et al.  Raindrop Size Distribution Characteristics for Tropical Cyclones and Meiyu-Baiu Fronts Impacting Tokyo, Japan , 2019, Atmosphere.

[45]  Chih-Chiang Wei,et al.  Simulation of operational typhoon rainfall nowcasting using radar reflectivity combined with meteorological data , 2014 .

[46]  Sa-Kwang Song,et al.  Multi-ChannelWeather Radar Echo Extrapolation with Convolutional Recurrent Neural Networks , 2019, Remote. Sens..

[47]  KashiwaoTomoaki,et al.  A neural network-based local rainfall prediction system using meteorological data on the Internet , 2017 .

[48]  Chih-Chiang Wei Improvement of Typhoon Precipitation Forecast Efficiency by Coupling SSM/I Microwave Data with Climatologic Characteristics and Precipitation , 2013 .