Korea Enhanced Observing Period(KEOP)
Korea Enhanced Observing Period(KEOP)
Young-Jean Choi, Jae-Cheol Nam, and Ki-Hoon Kim
Forecast Research LaboratoryMeteorological Research Institute(METRI)/KMA
Young-Jean Choi, Jae-Cheol Nam, and Ki-Hoon Kim
Forecast Research LaboratoryMeteorological Research Institute(METRI)/KMA
The 6th METRI-IAP workshop, 23-24 May 2006 , Seogwipo, Jeju, Korea The 6th METRI-IAP workshop, 23-24 May 2006 , Seogwipo, Jeju, Korea
Forecast Research Lab.
Objectives of KEOP
Ground observational system
Haenam super-sites for KEOP
IOP 2006
Future plan
Summary
ContentsContents
Forecast Research Lab.
Natural disaster from flash flood
Flash flood causes the most damaging natural disaster in Korea
0
20
40
60
80
100
120
140
160
인명
피해
Heavy rain Tropical cyclone Severe storm Hailstorm
Causes of meteorological disasters (average of 1983 to 1992)
142
6758
3
Damages caused by heavy rain fall and flash flood, due to the typhoon RUSA in 2002
Hum
an
dam
ages
Human loss: 246Disaster relief expenditure about 5 billion USD
Forecast Research Lab.
Better understanding of dynamical structure and
evolution of high-impact weather systems(mainly warm season precipitation episode)
Enhance the understanding of the land-atmosphere interaction and physics of cloud & precipitation.
Develop optimal observing strategies(targeting observation) related to data assimilation procedures.
Objective of KEOPObjective of KEOP
Forecast Research Lab.
Observation NetworkConventional Station
Automatic Weather Station
No.
Obs.
No. of station
No. of daily observation
Surface 74 8-24
Upper-air 7 2-4
Aeronautical 9 24-48
No.
Obs.No. of station
No. of daily observation
Measured elements
AWS 536Every min.
(Continuous)Temp., Wind,
Preci., etc
Ocean Buoy
5 24Temp., Wind,
Wave, SST, etc.
Ground Observation NetworkGround Observation Network
Forecast Research Lab.
Automatic Weather Station(AWS) Network
- ASOS(Automated Surface Observing System) : 42 sites
- Manned AWS(Automatic Weather System) : 35 sites - Unmanned AWS(Automatic Weather System) : 459 sites
ASOS AWS Mountain AWS
Ground Observation NetworkGround Observation Network
Forecast Research Lab.
• Spatial resolution ASOS + AWS network : 13 km
Unmanned AWS network : 14 km
• Temporal resolution : 1 min.
•Data Collection - DSU Modem leased line(9,600 bps)
- DSU Modem + Microwave comm.
- ORBCOMM Satellite comm.
Ground Observation NetworkGround Observation Network
Forecast Research Lab.
Radar Network of KMARadar Network of KMA
No. of station Time resolution Observation eliments
Operational Weather Radar
10(1) Every 10 min.Reflectivity, Radial Velocity, Spectral Width
Research radar
Muan
Operational radar • 5 C-band radars
•Baekryungdo•Kunsan•Donghae•Cheju•Chungsong
• 4 S-band radars•Gwangduksan•Jindo•Gwannaksan•Pusan
• 1 C-band(Airport)•Incheon
Research radar • 1 X-band radar
•Muan
Forecast Research Lab.
•These, used together, will evolve over time to meet the challenging objectives, including
the 3-D information on the development and structure of precipitating systems.
• Gunsan(S-band)
• Upper air observation site
• JinDo(S-band)
Muan
• Haenam Special observation site - Autosonde - Wind profiler - Micro rain radar - Optical rain gauge - Synoptic weather observation
• METRI, Muan(X-band)
• Gosan(S-band)
Field Experiments Network in KEOP
Forecast Research Lab.
With (sonde(3), radar, WPR)
700700hPahPa
850850hPahPa
925925hPahPa
850850hPahPa
925925hPahPa
700700hPahPa
Without
700700hPahPa
850850hPahPa
925925hPahPa
925925hPahPa
850850hPahPa
700700hPahPa
: Analysis(18UTC) : Forecast(21UTC): Forecast(21UTC)
Sensitivity testIncluding observation data
Forecast Research Lab.
24h accumulated rain & difference
Forecast effect for IOP(KEOP) dataWithout KEOP data With KEOP data
Forecast Research Lab.
Meso high
20:30:00 21:00:00 21:30:00 22:00:00 22:30:00
0
5
10
15
1004
1006
1008
1010
1012
Pressu
re(hP
a)
Rai
n(m
m/1
5min
.)
Haenam
Pre meso low (1220UTC)
Meso high (1230UTC)
The convectively induced subsidence may warm in the mid-to-upper troposphere ahead of convective storm. This warming may play role in the mesolow formation.
Downdraft in storm account for the observed pressure rise. Downdraft is driven by precipitation drag and evaporation cooling of the raindrops.
Forecast Research Lab.
124 125 126 127 128 129 130 13133
34
35
36
37
38
39
METRI/KMA
■ IOP: 6.21 - 7.5 IOP : 6.21-22, 6.25, 6.29-7.1, 7. 4- 7.5
■ Sonde Observation
■ Dual Doppler ObservationJindo S-band Mooahn X-bandGosan S-band
operation 2 → 4
Baekryoung-doSogcho
Heuksan-doPohangKwanjuGosan
Geochang
Namwon 4-8/day
Haenam
KEOP-2006 activity
■ Observing equipmentsWindprofiler, AWS, Flux tower,Micro Rain Radar, Optical Rain Gage, Autosonde, GPS rawinsonde
Forecast Research Lab.
MCSs in the Changma front : case (2006. 6. 30)
Forecast Research Lab.
MCS in the Changma front
Analysis
Forecast Research Lab.
A
B
C
A C
B C
Analysis
Forecast Research Lab.
Numerical Experiment
10km(RDAPS)
3km(WRF)
1km(WRF)
Experimental Design Control Run (CNT): Conventional Data Experimental Run (EXP): Conventional Data + sounding Period: 00UTC 30 June – 00UTC 02 July 2006
Integration Cycle
UTC00 06 12 18 00 06 12
: Analysis
: First guessLAPS
OBS OBS OBS OBSOBSFDDA
Forecast Research Lab.
Numerical Experiment
Control run With soundings
Gosan
Haenam
Namwon
Geochang
Forecast Research Lab.
KEOPKEOPPhase Phase IIIIObjectives : Carry out Intensive observation of high-impact weather Improve the predictability of High-Impact Weather system Collaborate with international observing program Development of the Targeted Observing System and it’s application
II II II
2006-2007
Field Experiments Observing System Experiment (OSE) Predictability
Targeting Strategies
2008-2010
Targeted Observing Field Experiments OSE
Predictability
Forecast Research Lab.
1 2 4 1 2 5 1 2 6 1 2 7 1 2 8 1 2 9 1 3 0 1 3 13 3
3 4
3 5
3 6
3 7
3 8
3 9
METRI/KMA
Nationwide Super NetworkNationwide Super Network
20 page
Forecast Research Lab.
Automatic Weather Station Network (13km*13km, one minute) and Weather radar(10 stations) operating by KMA can be used for measuring the high-impact severe weather system.
Produced high resolution temporal and spatial data(KEOP) are used for research and operation of the monitoring, analysis and prediction of severe weather phenomena(typhoon, fronts…)
KEOP has been concentrated on the understanding of dynamical structure and evolution of high-impact weather systems and enhance the understanding of the land-atmosphere
interaction and physics of cloud & precipitation. In order to improve operational forecast through increased model
accuracy and reliability, enhancement observing network, development data assimmilation techniques are needed.
SummarySummary
Thank you for your attention !
Thank you for your attention !