초고성능컴퓨팅 기반 국가현안 대응체계 구축

Abstract

□ 풍수해 예측 모델링 및 시뮬레이션 기술 개발 o 가속기 및 자료동화 기법 기반 고해상도 앙상블 모델링을 통한 예측자료 생산 o 태풍진로(강도), 해일, 범람 예측을 위한 모델 개발

□ 풍수해 예측 정보 연계 및 분석 기술 개발 o 기상-해양-수문모델 연계해석 및 기법 개발 o 지구환경변화 자료분석을 위한 3차원 가시화 도구(VAPOR) 기능강화연구 및 기술보급

□ 재난·재해 관련 지식 탐지 기반 기술 개발 o 분산 딥러닝 기반 지식탐지 플랫폼 및 단기 재난 예측 알고리듬 개발 o 빅데이터 기반 재난 유형 독립 운영 피해 예측 알고리듬 및 시스템 개발

□ 예측 시스템 및 재난정보 통합 시스템 패키지화를 통한 DMSS 개발 o 재난정보 관리 시스템 고도화를 통한 풍수해 정보 공유 및 활용 체계 구축 o 임진강 유역 작전기상 의사결정지원 시범 서비스 개발 및 운영

□ 효율적인 의사결정지원을 위한 풍수해 및 복합재난 가시화 기술 개발 o 재난정보 빅데이터 멀티플랫폼 실감 가시화 기술 개발 o 증강현실 기반 복합재난 가시화 기술 개발

(출처 : 보고서 초록 3p)

Ⅱ. Objective of the study and its importance

A. Purpose ◦ Utilization of future prediction techniques as a combination of scientific knowledge and cutting-edge technologies with HPC infrastructure which is a core for advanced IT technologies ◦ Construction of a decision making support system for national risk management to synthetically collect, produce, and analyze various information necessary to mitigate danger/damage of disasters

B. Necessity ◦ Needs of an extended public and private service utilizing HPC and a support to promote service industries - Necessary activities to support safe and reliable life from various natural disasters by enhancing national disaster management system ◦ Enacting 「Law of utilization and promotion of national HPC」and establishing fundamental plans for the law

Ⅲ. Content and scope of the study ○ Development of Modeling/Simulation/Visualization system for atmosphere-ocean-water related disasters - Improvement of accuracy and efficiency for HPC based typhoon numerical prediction model - Construction of a HPC-based multi model ensemble and data assimilation system for the prediction of typhoon and heavy rain - Improvement of visualization technology and diffusion of visualization system through the technological support and public relations ○ Development of knowledge detection system responding to the disaster information - Development of knowledge detection algorithm and platform based on the distributed deep learning - Development of big data-based operational damage prediction algorithm and system by disaster type - Development of deep learning-based short-term disaster prediction system using satellite image and sensor data ○ Development of KISTI Decision Making Support System(K-DMSS 3.0) responding to typhoon-induced disaster - Development of visualization technology to support efficient decision making responding to disaster - Construction of sharing and utilization system of disaster information by improving disaster information integration system - Development of K-DMSS through packaging of prediction system and disaster information integration system

(출처 : SUMMARY 10p)