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| Marine Meteorology & Earthquake
Research Laboratory (MMRL) consists of two
parts ? Marine meteorology and Earthquake
parts. Marine meteorology part observes coastal
and global ocean, and analyzes the characteristics
of oceanic variation relative to atmospheric
phenomena. We also develop and operate the
marine meteorological prediction system for
sea wind, ocean current, wave and storm surge.
Earthquake part focuses on application of
seismic monitoring to probe earthquake precursor
and research for the earthquake mechanism
in the Korean Peninsula. |
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Observation of marine
meteorology |
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Analysis of observed data and
development of the ocean prediction
model |
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Research on air-sea interaction |
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Study on polar meteorology |
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Oceanic data assimilation
and model improvement for the
prediction of climate variability |
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Monitoring of marine meteorological
condition and operation of marine
meteorological observation instruments |
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Observation of marine meteorology
using research vessel |
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Implementation of marine meteorological
prediction system for sea wind,
wave and storm surge |
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“Marine
Meteorological Observation and Investigation"
focuses on three main objectives : (1)
increasing reliability of wave data,
(2) operational test of new observational
technologies on the seas, and (3) estimation
of the sea surface wind (10 m). |
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| Development
of Marine Meteorological prediction
technique |
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Development and
verification of regional wave
and storm surge model |
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Development of Neural Network
model for local storm surge prediction |
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Development of coastal sea wind
model considering coastal topography |
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| Management
of operational ocean model |
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Management of operational
regional wave and storm surge
model |
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Management of Neural Network
model for local storm surge prediction |
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Management of coastal sea wind
model considering coastal topography |
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| Development
of visibility reporting system |
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Construction of
broadcasting and manuscript editing
system |
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Development of PDA meteorological
information service system |
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We are actively
carrying out the multi-year project
contributing to international ARGO program,
which was started from 2001 year. |
 We
have deployed 70 APEX-SBE floats manufactured
by Webb Research Corporation. 18 of
them were deployed in the East (Japan)
Sea with the aim of a study on the movement
of the intermediate water in East (Japan)
Sea. They were working on a 7-day duty
cycle and parking at 800m. The remainders
were done in the western Pacific setting
on 10-day and 2000m parking depth, respectively.
As for the deployment in the western
Pacific, we used newly developed package
with a quick-release hook to guarantee
the safety during the deployment on
the merchant ship. We have a plan to
deploy 15 floats every year to extend
the array in the western Pacific.
 Improvement
of data QC and delivery system is important
element of international ARGO project.
METRI has received all ARGO data from
the real-time mode via the GTS and distributes
the data through own web-based system
(http://argo.metri.re.kr). Since 2003
year, METRI also has operated the RTQC
(Real Time Quality Control) system,
which delivers QCed data with TESAC
and NetCDF format to WMO countries and
GDACs (Global Data Assembly Centers)
via GTS and ftp, as a function of DAC,
the name of ”°KM”±.
During the past years, METRI-ARGO project
became gradually known by public. Therefore,
ARGO data has been more widely applied
in various ways by many groups in Korea.
Some of successful research results
carried by METRI have presented, such
as ”°Mean flow and variability at the
upper portion of the East Sea proper
water in the southwestern East Sea”±,
”°Validation of salinity data from ARGO
floats”±, ”°Error analysis with ARGO data:
On the ability of an OGCM to simulate
the temperature and salinity in the
western Pacific”±, ”°A study of global
ocean data assimilation using VAF”± and
so on. ARGO data will ultimately be
used through data assimilation in ocean
prediction model to improve the predictability.
Therefore, we are concentrating on the
development of ocean circulation model
and data assimilation techniques as
well as data application study. |
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