[보고서]집중호우를 동반한 장마전선의 다중규모 분석

이동인

[국가R&D연구보고서] 집중호우를 동반한 장마전선의 다중규모 분석
Analysis of multi-scale features associated with Changma front with heavy rainfall 원문보기

보고서 정보
주관연구기관	부경대학교 Pukyong National University
연구책임자	이동인
참여연구자	장민 , 김부경 , 방영수 , 장상민 , 박성화 , 정종훈 , 정성아 , 황윤성 , 정운선 , 김주연 , 김수경 , 강덕두
보고서유형	2단계보고서
발행국가	대한민국
언어	한국어
발행년월	2012-03
과제시작연도	2011
주관부처	기상청
과제관리전문기관	기상지진기술개발사업단
등록번호	TRKO201200001098
과제고유번호	1365001311
DB 구축일자	2013-04-18
키워드	집중호우,장마전선,중규모 대류시스템,다중규모 시스템,정량적 강수 추정Heavy rainfall,Changma front,Mesoscale Convective System (MCS),Multi-scale System,Quantitative Precipitation Estimation (QPE)

초록 ▼

1. 남해안에서의 집중관측 및 자료 수집
1) 남해안(추자도, 이어도) 및 서해안(무안, 안면도)에서의 집중관측
2) 레이더, 라디오존데, Disdrometer, 우량계, AWS 등 관측 자료의 수집 및 자료의 품질관리
2. 고층관측자료를 이용한 열역학적 특성 연구
1) 라디오존데 자료 보정, 자료 처리 기술 개발 (프로그램 등록)
2) 라디오존데로 관측된 고층바람자료를 이용하여 대기요란을 유도하는 총 연직바람시어와 방향성 연직바람시어의 산출 기술 개발 (프로그램 등록)
3) 고층관측자료를 이용하여 전선성 대류시스템의 열역학적 특성 연구
3. 장마전선의 구조 분석
1) 종관자료 처리 및 표출 기술 개발 (프로그램 등록)
2) 장마전선의 구조 분석 및 전선성 대류 시스템의 특성 연구 (논문)
4. 변분법을 이용한 이중 도플러 바람장 분석
1) 레이더 영상 및 관심영역 기상변수의 편차변동 표출 (프로그램 등록)
2) 이중도플러 변형장 및 와도 산출 기술 개발 (프로그램 등록)
3) 레이더 바람 자료의 품질관리 연구
4) 변분법을 이용한 이중 도플러 바람장 분석을 통한 다중규모 중규모 대류시스템 구조 분석

Abstract ▼

In order to synoptic scale analysis of monsoon cycle and observation of multi-scale convective precipitation system, which are developed in Changma front, the intensive observations were conducted at the Southern coast (Chujado and Ieodo in 2009) and Southwestern coast (Muan, Anmyendo and Ieodo in 2011) of Korea using various meteorological instruments such as Doppler weather radar, rain gauge, Disdrometer, AWS (Automatic weather system), and GPS radio sonde system etc. Using these high quality observation data, we investigate rainfall system and mechanism of cloud development (at Changma front, typhoon, and localized heavy rainfall etc.) and establish the system for accurate rainfall estimate and weather forecasting. The technique for meteorological data processing and validation was developed because each meterological data include observational error. And the algorithms develop for reducing the undesirable errors (velocity folding, non-precipitation echo and attenuation) during weather radar observation a d improving the quality of measured data. These algorithms and techniques were utilized in meteorological analysis. The wind data retried by radar operated by KMA (Korea Meteorological Administration) used to investigate the kinematic properties of cloud system generated and developed in Changma system and typhoon. Before using the wind data, the improved quality of data was conducted by development and verification of the technique of correcting the raw radar data. Three-dimensional dual Doppler wind field was implemented by variational method using corrected two radars data. The variational method is a procedure that minimizes a cost function defined here to be the sum of squared errors due to the misfit between observations and analyses subject to constraints. The meso-scale convective precipitation, which appeared as multi-scale features including meso-β-scale convective cells developed in meso-α-scale convective cells, were used in this research. The S-band Doppler radars in Gosan and Sungsanpo, Jejudo uccessfully observed the multi-scale linearly convective system, which had been developed in southwest coast of Korea, the precipitation systems were further developed passing through inland region. We could understand the kinematic properties of multi-scale convective precipitation systems and found a vital forecasting factors by analyzing weather radar data with observed meteorological data in Chujado, Korea. In order to analyze the thermodynamic feature, vertical thermodynamics profiles which observed in the southern coast in Korea (Chujado) were studied. The algorithm of data quality improvement to correct the error compared with ground based data and the observational error (relative humidity and wind) during rising was developed prior to using the radio sonde data. And the algorithm to produce data at regular height was developed, that is an essential to time series analysis using sounding sonde data. The thermodynamic time series analysis about occurrence, development, and dissipation of the precipita ion system accompanied with Changma front was performed using periodic observation data. Time variation of meteorological data was analyzed and vital factors associated with enforcement of frontal system was figured out. Based on these research and study, we could find out the association between properties of Changma front with heavy rainfall and convective precipitation system on meso-scale and micro-scale through the analysis of structure on Changma frontal system, typhoon, and convective precipitation system affected to the Korean Peninsula. We expect those researches to contribute to QPE (quantitative precipitation estimation) and QPF (quantitative precipitation forecast) for preventing the nature meteorological disaster.

목차 Contents

표지 ... 1
제출문 ... 2
보고서 요약서 ... 3
요약문 ... 4
SUMMARY ... 8
CONTENTS ... 14
목차 ... 15
List of Tables ... 16
List of Figures ... 17
제1장 연구개발과제의 개요 ... 22
1.1절 연구개발의 필요성 ... 22
1.2절 연구개발 목표 ... 23
제2장 국내외 기술개발 현황 ... 24
2.1절 국외 기술개발 현황 ... 24
2.2절 국내 기술개발 현황 및 현기술상태의 취약성 ... 26
제3장 연구개발수행 내용 및 결과 ... 28
3.1절 남서해안에서의 집중관측 ... 28
3.2절 레이더 바람자료의 품질관리 ... 69
3.3절 장마전선 구조 분석 형태학적 연구 ... 81
3.4절 고층기상관측을 이용한 열역학적 특성분석 ... 105
3.5절 남서해안에서 발달하는 선형의 다중규모 대류시스템 분석 ... 117
제4장 목표달성도 및 관련분야에의 기여도 ... 132
4.1절 연구개발목표의 달성도 ... 132
4.2절 연구개발목표의 기여도 ... 134
제5장 연구개발결과의 활용계획 ... 136
5.1절 기대성과 ... 136
5.2절 활용방안 ... 138
제6장 연구개발과정에서 수집한 해외과학기술정보 ... 139
제7장 참고문헌 ... 152

표/그림 (91)

표 Fig. 3.1.1. The map of observation site.
표 Fig. 3.1.2. Photographs of (a) AWS (Automatic Weather System), (b) Ultrasonic anemometer, and (c) Rain gauges
표 Fig. 3.1.3. Photographs of (a) ground station, (b) radiosonde antennas, and (c) launching radiosonde.
표 Fig. 3.1.4. Photograph of LPC (Laser Particle Counter) and Parsivel (PARticle SIze and VELocity in precipitation).
표 Fig. 3.1.6. The photograph of filter paper and a ruler for drop size measurement.
표 Fig. 3.1.5. The installed instruments of Parsivel, POSS, rain gauges, radio sonde, LPC and Mini-vol.
표 Fig. 3.1.7. (a) Path of the typhoon ‘MEARI’ and (b) satellite image.
표 Fig. 3.1.8. The map of observation site.
표 Fig. 3.1.9. Photographs of Ultrasonic anemometer, Rain gauge and Parsivel in Anmyondo.
표 Fig. 3.1.10. Photographs of (a) ground station, (b) radiosonde antennas and (c) launching radiosonde in Anmyondo.
표 Fig. 3.1.11. The installed instruments of UVW, radio sonde, rain gauges, Parsivel, LPC and Mini-vol in Muan.
표 Fig. 3.1.12. Photographs of (a) radiosonde antennas, (b) ground station and (c) launching radiosonde.
표 Fig. 3.1.14. Photographs of (a) Parsivel (Particle size and velocity) and (b) UVW (Ultrasonic Anemometer).
표 Fig. 3.1.13. Photographs of (a) AWS (Automatic Weather System) and (b) rain gauge.
표 Fig. 3.1.15. Photographs of LPC (Laser Particle Counter).
표 Fig. 3.1.16. Surface weather chart at (a) 0900 LST on 9 June and (b) 0000 LST on 10 June 2009.
표 Fig. 3.1.17. (a) Pressure and wind vector at the surface, (b) equivalent potential temperature and wind vector at the level of 850 hPa, (c) relative vorticity and wind vector at the level of 500 hPa, (d) geopotential height and wind vector at the level of 300 hPa at 0300 LST on 10 June 2009.
표 Fig. 3.1.18. Vertical cross section along the line A-A and B-B at each longitude and latitude
표 Fig. 3.1.19. Vertical profiles of wind direction (WD), wind speed (WS), temperature (T) and dew-point temperature (Td) by radiosonde at (a) 0900 LST, (b) 1200 LST, (c) 1500 LST, (d) 1900 LST, (e) 2100 LST on 9 June, (f) 0000 LST, (g) 0300 LST, (h) 0600 LST on 10 June 2009.
표 Fig. 3.1.19. Vertical profiles of wind direction (WD), wind speed (WS), temperature (T) and dew-point temperature (Td) by radiosonde at (a) 0900 LST, (b) 1200 LST, (c) 1500 LST, (d) 1900 LST, (e) 2100 LST on 9 June, (f) 0000 LST, (g) 0300 LST, (h) 0600 LST on 10 June 2009.
표 Fig. 3.1.20. Variation of balloon height with launched time at (a) 2100 LST on 9 and (b) 0000 LST on 10 June 2009.
표 Fig. 3.1.21. Time series of pressure, wind direction, wind speed, vertical wind velocity, humidity, temperature, and rain rate at each channel from 0000 LST on 9 June to 1200 LST on 10 June 2009.
표 Fig. 3.1.22 The rainfall rate distribution by rain gauge during observation period (June 22 - July 11) in Chujado, 2007.
표 Fig. 3.1.23 Surface weather chart at 0600 LST on 29 June 2009 and daily rainfall amount at Chujado.
표 Fig. 3.1.24 Surface weather chart at 1500 LST on 30 June 2009 and daily rainfall amount at Chujado.
표 Fig. 3.1.25 Time series of pressure, temperature, humidity, rain rate and wind from 0000 LST 29 June to 0600 LST 01 July 2009.
표 Fig. 3.1.26. Surface weather chart at 2100 LST on 6 July 2009 and daily rainfall amount at Chujado.
표 Fig. 3.1.27. Time series of pressure, temperature, humidity, rain rate and wind from 0000 LST 6 July to 0000 LST 08 July 2009.
표 Fig. 3.1.29. Time series of pressure, temperature, humidity, rain rate and wind from 0000 LST 11 July to 0000 LST 12 July 2009.
표 Fig. 3.1.28. Surface weather chart at 0900 LST on 11 July 2009 and daily rainfall amount at Chujado.
표 Fig. 3.1.30. Surface weather chart at 0900 LST on 15 July 2009 and daily rainfall amount at Chujado
표 Fig. 3.1.31. Time series of pressure, temperature, humidity, rain rate and wind from 0600 LST 15 July to 1200 LST 16 July 2009.
표 Fig. 3.1.32. Horizontal section of radar reflectivity and cell-relative wind fields at 2.5 km AGL (Above Ground Level) from 1000 LST to 1300 LST on 15 July 2009. The red circle shows the location of Chujado.
표 Fig. 3.1.33. Surface weather chart and satellite image at 0000 LST on 6 July 2011.
표 Fig. 3.1.34. (a) Pressure and wind vector at the surface, (b) equivalent potential temperature and wind vector at the level of 850 hPa, (c) relative vorticity and wind vector at the level of 500 hPa, (d) geopotential height and wind vector at the level of 300 hPa at 0300 LST on 6 July 2011.
표 Fig. 3.1.35. Time variation of humidity, temperature, wind direction, wind speed, rainfall amount and pressure from 5 to 6 July, 2011.
표 Fig. 3.1.36. The diagram of potential temperature (bold line), equivalent potential temperature (line), and saturated equivalent potential temperature (dotted line) by radiosonde at (a) 2100 LST on 4, (b) 0300 LST on 5, (c) 0900 LST on 5, (d) 1500 LST on 5, (e) 2100 LST on 5, (f) 0300 LST on 6, (g) 0900 LST on 6, (h) 1500 LST on 6, (i) 2100 LST on 6 July 2011.
표 Fig. 3.1.37. (a) The surface weather chart, (b) total rain amount in June 25, 2011, (c) the same as (a) and (d) the same as (d) but for June 26, 2011.
표 Fig. 3.1.38. (a) Pressure and wind vector at the surface, (b) equivalent potential temperature and wind vector at the level of 850 hPa, (c) relative vorticity and wind vector at the level of 500 hPa, (d) geopotential height and wind vector at the level of 300 hPa at 0900 LST on 25 June 2011.
표 Fig. 3.1.39. The same as Fig. 3.1.38 but 0900 LST on 26 June 2011.
표 Fig. 3.1.40. The time variation of upper air observation with interval of 6 hours from 1500 LST 25 to 0900 LST 27 June, 2011.
표 Fig. 3.1.41. The diagram of potential temperature (bold line), equivalent potential temperature (line), and saturated equivalent potential temperature (dotted line) by radiosonde at (a) 1500 LST on 25, (b) 2100 LST on 25, (c) 0300 LST on 26, (d) 0900 LST on 26, (e) 1500 LST on 26, (f) 2100 LST on 26, (g) 0300 LST on 27, (h) 0900 LST on 27 July 2011.
표 Fig. 3.1.42. Time variation of temperature, wind direction, wind speed, and rainfall amount from 25 to 27 June, 2011.
표 Fig. 3.1.43. Time variation of U and V components measured by ultrasonic anemometer from 25 to 27 June, 2011
표 Fig. 3.1.44. The same as Fig 3.1.15 but in Muan.
표 Fig. 3.1.45. The same as Fig 3.1.16 but in Muan
표 Fig. 3.1.47. The same as Fig 3.1.18 but in Muan.
표 Fig. 3.1.46. The same as Fig 3.1.17 but in Muan
표 Fig. 3.2.1. Display of Doppler velocity at a given range gate as a function
표 Specification of Jindo weather radar.
표 Fig. 3.2.2. Example of mmds.unfold algorithm which assumes that nyquist velocity is 10m/s.
표 Fig. 3.2.3. Radial velocity observed on 15 July 2009 02:42:07 UTC at 2.18 elevation angle from Jindo Radar
표 Fig. 3.2.5. Same as Fig. 3.2.3. but observed on 21:21:39 UTC 25 July 2011, typhoon MEARI, at 1.1 elevation angle.
표 Fig. 3.2.6. Radial velocity observed on 02:42:07 UTC 15 July 2009, typhoon MUIFA, at 2.18 elevation angle from Jindo Radar (a) before unfolding process, (b) and (c) under unfolding process and (d) after unfolding process.
표 Fig. 3.2.7. Radial velocity observed on 11:41:39 UTC 01 September 2010, typhoon KOMPASU, at 1.1 elevation angle from Jindo Radar (a) before unfolding process, (b) after doubling nyquist velocity and (c) after unfolding process.
표 Fig. 3.3.1. Geographic map of Korean Peninsula in East Asia. Dual-Doppler radar analysis domain for KSN, JNI, and GSN radars.
표 Fig. 3.3.2. The 12-h accumulated rainfall amounts over Korea from 1500 LST 9 July to 0300 LST 10 July, 2007 (left).
표 Fig. 3.3.3. Surface weather maps with superimposed MTSAT-IR images at (a) 0900 LST, (b) 1500 LST, and (c) 2100 LST 9 July, 2007.
표 Fig. 3.3.4. Mesoscale analysis of relative vorticity and divergence at 850 hPa for (a) 2100 LST 9 July and (b) 0000 LST 10 July, 2007.
표 Fig. 3.3.5. Vertical cross sections from 120°E, 36°N to 126°E, 29°N (line A-A′in Fig. 3.3.4d)
표 Fig. 3.3.6. Same as Fig. 3.3.5 except for line B-B′ (from 125°E, 41°N to 131°E, 34°N) in Fig. 3.3.4d.
표 Fig. 3.3.7. Mesoscale analysis for 0000 LST 10 July, 2007
표 Fig. 3.3.8. Skew T -log p diagrams for soundings taken at (a) Gwangju and (b) Gosan (both shown in Fig. 3.3.1) at 1500 LST and 2100 LST 9 July, 2007, respectively.
표 Fig. 3.3.9. Hodographs of soundings taken at (a) Gwangju and (b) Gosan at 1500 LST 9 July and 0300 LST 10 July, 2007, respectively.
표 Fig. 3.3.10. Time height cross section of equivalent potential temperature, mixing ratio, and horizontal wind of soundings taken at (a) Gwangju and (b) Gosan.
표 Fig. 3.3.11. Horizontal distribution of reflectivity at 2 km ASL for (a) 1830 LST, (b) 2030 LST, and (c) 2030 LST on 9 July, 2007.
표 Fig. 3.3.12. Same as Fig. 3.3.11 but for (a) 2200 LST, (b) 0000 LST, and (c) 0300 LST from 9 to 10 July, 2007.
표 Fig. 3.3.13. Horizontal distributions of reflectivity and system relative wind vector at 2 km ASL at 2010 LST 9 July, 2007.
표 Fig. 3.3.14. Reflectivity and wind pattern in the vertical cross sections (A-A′and B-B′) at 2010 LST 9 July, 2007.
표 Fig. 3.3.15. Same as Fig. 3.3.13 but for 2350 LST 9 July, 2007.
표 Fig. 3.3.16. Same as Fig. 3.3.14 but for 2350 LST 9 July, 2007.
표 Fig. 3.3.17. Schematic diagram of precipitation systems that accompanied the Changma front on 9?10 July, 2007.
표 Fig. 3.3.18. Conceptual models of precipitation systems on 09?10 July, 2007: (a) meso-α scale (System 1) and (b) meso-β scale (System 2).
표 Fig. 3.4.1. Geographic map of Korean Peninsula in East Asia. Position of observation site (Chujado, black box) is shown.
표 Fig. 3.4.2. Surface weather chart at 1500 LST on 30 July 2010.
표 Fig. 3.4.3. Synoptic weather conditions using NCEP/NCAR reanalysis data at 1500 LST on 30 June 2009.
표 Fig. 3.4.4. Vertical cross section along the line A-A and B-B at each longitude and latitude
표 Fig. 3.4.5. Time variation of rain rate, temperature, humidity, and pressure from 1800 LST on 2 July to 1500 LST on 3 July 2010.
표 Fig. 3.4.6. Time variation of (a) wind direction and wind speed (m/s, shaded), and mixing ratio (g/kg) from 0000 LST to 2400 on 30 June 2010.
표 Fig. 3.4.7. Time variation of (a) total vertical wind shear (m/s/km), (b) directional vertical wind shear (degree/km) from 0000 LST to 2400 on 30 June 2010.
표 Fig. 3.5.1. Geographic map of Korean Peninsula in East Asia
표 Specification of radars.
표 Fig. 3.5.2. JMA surface weather maps, trough positions at 500 hPa, and streamline and jet position at 2100 LST 06 July, 2009.
표 Fig. 3.5.3. MTSAT-IR infrared cloud imagery at 2100 LST 06 July, 2009 (archived by Kochi University, Japan).
표 Fig. 3.5.4. Skew T-log P diagram for sounding taken at Chujado (shown in Fig. 3.5.1) at 2100 LST 06 July, 2009.
표 Fig. 3.5.5. Time height cross section equivalent potential temperature, mixing ratio, and horizontal wind of sounding taken at Chujado from 2100 LST 06 to 1200 LST, 07 July 2009.
표 Fig. 3.5.6. The reflectivity (dBZ) observed by GSN Doppler radar at 30 min. intervals from (a) 2100 LST to (d) 2230 LST, 06 July 2009.
표 Fig. 3.5.7. Horizontal distributions of reflectivity and system relative wind vector at 2 km at 2130 LST 06 July, 2009.
표 Fig. 3.5.8. Reflectivity and wind pattern in the vertical cross sections (A-A′ and B-B′) at 2130 LST 06 July, 2009.
표 Fig. 3.5.9 Same as Fig. 3.5.7 but for 2200 LST 06 July, 2009.
표 Fig. 3.5.10 Same as Fig. 3.5.8 but for 2200 LST 06 July, 2009.

과제명(ProjectTitle) :	-
연구책임자(Manager) :	-
과제기간(DetailSeriesProject) :	-
총연구비 (DetailSeriesProject) :	-
키워드(keyword) :	-
과제수행기간(LeadAgency) :	-
연구목표(Goal) :	-
연구내용(Abstract) :	-
기대효과(Effect) :	-

내보내기 구분	파일저장 인쇄 메일전송
구성항목	기본정보 상세정보 관리번호, 제목(한글), 저자명(한글), 발행일자, 전자원문, 초록(한글), 초록(영문) 관리번호, 제목(한글), 제목(영문), 저자명(한글), 저자명(영문), 주관연구기관(한글), 주관연구기관(영문), 발행일자, 총페이지수, 주관부처명, 과제시작일, 보고서번호, 과제종료일, 주제분류, 키워드(한글), 전자원문, 키워드(영문), 입수제어번호, 초록(한글), 초록(영문), 목차
저장형식	Text(ASCII format) Excel format
메일정보	받는사람 (필수) @ 보내는사람 (선택) @ 제목 내용 KISTI 검색결과 이메일 서비스
안내	총 건의 자료가 검색되었습니다. 다운받으실 자료의 인덱스를 입력하세요. (1-10,000) 검색결과의 순서대로 최대 10,000건 까지 다운로드가 가능합니다. 데이타가 많을 경우 속도가 느려질 수 있습니다.(최대 2~3분 소요) 다운로드 파일은 UTF-8 형태로 저장됩니다. 파일의 내용이 제대로 보이지 않을실 때는 웹브라우저 상단의 보기 -> 인코딩 -> 자동선택 여부를 확인하십시오. ~ Text(ASCII format) Excel format

연합인증

[국가R&D연구보고서] 집중호우를 동반한 장마전선의 다중규모 분석
Analysis of multi-scale features associated with Changma front with heavy rainfall 원문보기