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

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60

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120

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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

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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.

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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.

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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 !