TCAR - Typhoon Committee

116
ESCAP/WMO
Typhoon Committee Annual Review 2009
generation NWP system based on the UK Met
Office Unified Model N320L50 as the operational
model on the 3rd supercomputer system. From
the last quarter of the 2010, the KMA will run the
higher-resolution Unified Model N512L76 as the
operational model for better weather forecasting.
Fig. 41. KMA’s 3 rd supercomputer system
Fig. 42. National Supercomputer Center for Meteorology.
b. Hydrological Achievements/Results
Construction of National Quality Control System
for Hydrological Data at Geum River This
project seeks to develop standards on quality
control of hydrological data and to initiate the
creation of a national quality control system
for hydrological data for the Han River water
system in 2007, expanding this system to the
Nakdong, Geum and Yeongsan rivers by 2011.
2009 saw the development of quality control
standards for hydrological data for the Geum
River water system, as well as the construction
and reinforcement of the national quality control
system for hydrological data for the Geum River
water system.
The project aims first to strengthen the existing
hydrological data management system by
developing and adopting a quality control system
for national hydrological data for the Geum
River, and second, to secure data reliability.
These objectives were set to address the current
situation in the country, where data handling
standards, methods, and data publishing formats
differ from one hydrological data measurement
Component
Installation 2010.12
System Cray Baker
Peak Performance 682.9Tflops
Memory 119.8TB
Disk 2,073TB
VTL 507TB
Tape 4PB
organization to another, and to facilitate the third
phase of the project, whose goal is to build a
system which can easily be used in the field.
Quality control methods according to hydrological
data and observation methods of rainfall and
water level, which are continuous time-series
hydrological data, can be largely classified into
the three following categories:
- Inspection of hydrological observatories and
management of checked results (Field quality
control);
- Automatic review and handling of hydrological
data (Automatic quality control);
- Manual review and handling of hydrological
data (Manual quality control)
It is difficult to realize a fully automated computerbased
system to control the quality of hydrological
data, and furthermore such a system may give
rise to undesirable results. Therefore, a manual