Earth System e-Science Development in Korea

1. Earth System e-Science Development in Korea In-Sik Kang (SNU), Jaiho Oh (PKNU), Dongil Lee (KMA), Byong-Lyol Lee (KMA)

2. Background Numerical Simulation of Earth Climate • Atmospheric General Circulation Models (AGCMs) • Widely-used tools for Numerical Reproduction of Weather and Climate • Adapted to Seasonal Prediction Problem with the advance of High-performance Super Computing • Dynamic Equation Set • Numerical Representation • Super Computing

3. Objective • Final Target • Establishment of Grid-based Earth System R&D infrastructure by mobilizing available resources under dispersed computing environments • Object • Construction o f New Paradigm for Research Environments focused on user-friendly real application researches through Integration of distributed science technology resources Available Resources • High performance Computer & Network, Huge Data Storage, Large Database, The latest Observation Equipment, Numerical Forecast Models

4. Case 1-UK e-Science Programme Situation of E-Science for Earth System • Projected by Department Trade & Industry of UK • Budget : about ￡200 M (2001-2006) • Contents • Construction & Management of Ten National and Regional e-Science Center • Development of Technology about e-Science, Operating of Core Programme about Pilot Applications.

5. Case 2- PRISM- Program for Integrated Earth System Modeling Situation of E-Science for Earth System PRISM objectives • A European infrastructure project (Dec. 2001 –Nov 2004) • Funded by the European Commission FP5(4.8 M€) • 22 partners : leading climate research institute and computer vendors • Share development and maintenance of HPC isssues • Help scientists spend more time in science • Provide software infrastructure to • Easily assemble earth system model components • Launch monitor complex ensembles earth system models • Access, analyze and share results across wide community Development of Technology about e-Science, Operating of Core Programme about Pilot Applications.

6. Marine Grid Ocean- Grid Energy- Grid Agro- Grid Environ- Grid KMA Grid Hydro- Grid Impact- Grid • Schematic of e-Science for Earth System Space- Grid Meteo-K e-Science Center Trans- Grid Universities Gov. Offices Projects Institutions NGIS/RS Private co. WMO Grid APCN Grid CAgM Grid

7. Establishment of atmospheric e-Science Center for Earth System Supporting sharing and exchange scientific information among remotes researcher Ensure Utilization of HPC resource & data storage on a variety of platform KMA Meteo-K e-Science Center Universities Gov. Offices Projects Institutions NGIS/RS Private/NGO WMO/APEC/IGBP Objective Atmospheric e-Science Center for Earth System

8. Core AgMet Station CAgM Grid Global Environment Risk management Meteo-K GRID Testbed University Grid Inter-Office Grid Super Ensemble Applied Meteorology • Core Projects Project Grid Institute Grid Model Development Meteorological industry Private Grid NGIS Grid KMA Grid Public service Surface Monitoring APCN-Grid Network Hub for RCC

9. Atmospheric e-Science : Conception CIKUCS Cyber Institute for Korea University Climate System Integration Researcher Discussion Forum System Computing Resources Sharing System Computational Grid Multiple Video Conference Discussion Forum Storage Grid Group E-Message Real-Time Data Source Online Journal Collection High-Speed Network Infra-Structure

10. Atmospheric e-Science :Construction High Performance Network National Network network band-width extension Unv. Unv. Connection to KOREN Network construction with Backbone to each Univ. Unv. Unv. Network Equipment Unv. Expansion of network band Unv. Gigabit network Load Distribution Optimization of Network route

11. 1. High Performance Computing 2. Huge Database Storage Space 3. High Speed Network 4. Real Time Communication Atmospheric e-Science :Process ⊙ The Requirements of Climate modeling Super-Ensemble Method, High Resolution Modeling, Coupled Models Sharing computing resources Store a huge climate observation and prediction data Sharing storage resources Transfer, search, sharing data among research institutes Sharing Data, Sharing resources Discuss results and communicate with video conference Overcome limits of Time and Space

12. uMeteo-K : Data grid for atmospheric science KMA Supercom Model output Data transportation KMA NCEP Forecast output Model output Data input Data input Model output SNU PKNU NASA Forecast output Forecast output Observation data Model output COLA KISTI Supercom Wu-Ftp Connecting Atmospheric e-science Data Grid

13. Korea Meteorology Administration Seoul National University Pukyong National University Linux server Intel Dual CPU Linux server Intel Dual CPU Linux server Intel Dual CPU Linux server Intel Dual CPU Linux server Intel Dual CPU uMeteo-K :Data grid for atmospheric science Hardware structure of Data-GRID neosky15 KOREN Network Disk Raid 2.3TB cdldata Disk Raid 1.2TB KOREN Network Disk Raid 1.8TB cpsdata KOREN Network Disk Raid 500G Disk Raid 500G climate pknuGB01

14. Search Page With globus replica Copy Page with Globus-replica -management Data Grid in Globus Tools Web based User Interface for Data-Grid

15. Meteorology Session on 16th APAN meeting Marriot Hotel, Busan, Korea <Aug. 26~27, 2003>

16. Precipitation, MSLP & Wind for 24 HRs Sep. 12, 2003 09:00 LST~ Sep. 13, 2003 09:00 LST Precipitation MSLP and Wind

17. Future plan of ES development Hydrologic Grid CAgM Grid NDP Grid Ocean Grid Environ Grid uMeteo-K N*Grid Energy Grid APCN Grid

18. Future plan of ES development • Construction Super-Ensemble Prediction System using GRID-Cluster Computing Resource • International Video Conference through Access-GRID • Establishment of International Cyber Institute based VOD • Virtual Data Storage & Display System using Data GRID