Planning and coordination of basic research plans for short-term and long-term research policies
Survey of research projects regarding the meteorology and earthquakes
Assessment of ongoing research programs and international cooperation
Developing Atmospheric information and human resources and encouraging innovation
Maintenance and management of computer system
Bilateral Agreements
Institute of Atmosphere Physics, China
MOU May 1997
(Renewed Oct. 2001)
Institute for Tropospheric Research(IfT), Leipzig, Germany
MOU Dec. 2004
Forecast System Lab. of the NOAA, USA MOU April 2000
International Activities

PC Cluster-based Numerical Weather Prediction System
- The METRI has transferred its NWP know-how to Mongolia and Sri Lanka.



The METRI started to develop a NWP system based on a PC cluster in 1998 with the aim of enabling its regional meteorological offices to operate their own NWP systems without having to resort to supercomputers.
The project, now complete, has allowed KMA regional offices to make regional weather forecasts more cost-effectively. Microprocessor performance continues to rise rapidly while prices are plummeting, paving the way for continuous upgrades in PC cluster-based NWP systems.
The METRI developed the Mongolian NWP System (MNWPS) in 2004 and transferred the technology to the Mongolian National Agency for Meteorology, Hydrology and Environment Monitoring (NAMHEM). The MNWPS success is cited as an exemplary case of meteorological cooperation, and similar requests for technology transfer continue to come from countries in Asia and Oceania.
In addition, the METRI also developed the Sri Lanka NWP System (SNWPS) with the supporting of the Korea International Cooperation Agency (KOICA) in 2005. The SNWPS has more efficient computing environment and downsizing facility then the MNWPS.
The METRI will play an important role in raising Korea's status as a technology provider by continuing to provide meteorological technology and advice to developing countries.?This will help them to design and operate clusters that best fit their specific needs and weather conditions.