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View article: A Study on the Improvement of Wave and Storm Surge Predictions Using a Forecasting Model and Parametric Model: a Case Study on Typhoon Chaba
A Study on the Improvement of Wave and Storm Surge Predictions Using a Forecasting Model and Parametric Model: a Case Study on Typhoon Chaba Open
High waves and storm surges due to tropical cyclones cause great damage in coastal areas; therefore, accurately predicting storm surges and high waves before a typhoon strike is crucial. Meteorological forcing is an important factor for pr…
View article: GPU acceleration of MPAS microphysics WSM6 using OpenACC directives: Performance and verification
GPU acceleration of MPAS microphysics WSM6 using OpenACC directives: Performance and verification Open
In this study, we accelerated a microphysics scheme embedded within the Model for Prediction Across Scales (MPAS), using OpenACC directives. As one of the most time-consuming physics parameterization schemes, we focused on parallelizing th…
View article: Performance Comparisons on Parallel Optimization of Atmospheric and Ocean Numerical Circulation Models Using KISTI Supercomputer Nurion System
Performance Comparisons on Parallel Optimization of Atmospheric and Ocean Numerical Circulation Models Using KISTI Supercomputer Nurion System Open
The characteristics of the 5th Supercomputer Nurion Knights Landing (KNL) system of the Korea Institute of Science and Technology Information (KISTI) were analyzed by developing ultra-high resolution atmospheric and ocean numerical circula…
View article: PSIque: Next Sequence Prediction of Satellite Images using a Convolutional Sequence-to-Sequence Network
PSIque: Next Sequence Prediction of Satellite Images using a Convolutional Sequence-to-Sequence Network Open
Predicting unseen weather phenomena is an important issue for disaster management. In this paper, we suggest a model for a convolutional sequence-to-sequence autoencoder for predicting undiscovered weather situations from previous satellit…
View article: DeepRain: ConvLSTM Network for Precipitation Prediction using Multichannel Radar Data
DeepRain: ConvLSTM Network for Precipitation Prediction using Multichannel Radar Data Open
Accurate rainfall forecasting is critical because it has a great impact on people's social and economic activities. Recent trends on various literatures show that Deep Learning (Neural Network) is a promising methodology to tackle many cha…
View article: GlobeNet: Convolutional Neural Networks for Typhoon Eye Tracking from Remote Sensing Imagery
GlobeNet: Convolutional Neural Networks for Typhoon Eye Tracking from Remote Sensing Imagery Open
Advances in remote sensing technologies have made it possible to use high-resolution visual data for weather observation and forecasting tasks. We propose the use of multi-layer neural networks for understanding complex atmospheric dynamic…
View article: Satellite radiance data assimilation for binary tropical cyclone cases over the western <scp>N</scp>orth <scp>P</scp>acific
Satellite radiance data assimilation for binary tropical cyclone cases over the western <span>N</span>orth <span>P</span>acific Open
A total of three binary tropical cyclone (TC) cases over the Western North Pacific are selected to investigate the effects of satellite radiance data assimilation on analyses and forecasts of binary TCs. Two parallel cycling experiments wi…
View article: Tide and Storm Surge Simulation for Ryo-mong Invasion to Hakata Bay
Tide and Storm Surge Simulation for Ryo-mong Invasion to Hakata Bay Open
The second battle of Hakata Bay, known as the battle of Koan, was the second attempt by Koryo (Korea) and Mongol to invade Japan in the summer of 1281. In August 1281, Ryo-Mong invasion attempt failed due to the typhoon which sunk a sizabl…