최소 단어 이상 선택하여야 합니다.
최대 10 단어까지만 선택 가능합니다.
다음과 같은 기능을 한번의 로그인으로 사용 할 수 있습니다.
NTIS 바로가기한국지구과학회지 = Journal of the Korean Earth Science Society, v.36 no.1, 2015년, pp.109 - 124
류근수 (경북대학교 대기원격탐사연구소) , 정성화 (경북대학교 대기원격탐사연구소) , 남경엽 (기상청 국립기상연구소 응용기상연구과) , 권수현 (경북대학교 천문대기과학과 및 천체물리 및 우주론분야 미래 창의 인재 양성팀) , 이청룡 (경북대학교 천문대기과학과 및 천체물리 및 우주론분야 미래 창의 인재 양성팀) , 이규원 (경북대학교 대기원격탐사연구소)
A novel approach, hybrid surface rainfall (KNU-HSR) technique developed by Kyungpook Natinal University, was utilized for improving the radar rainfall estimation. The KNU-HSR technique estimates radar rainfall at a 2D hybrid surface consistings of the lowest radar bins that is immune to ground clutt...
* AI 자동 식별 결과로 적합하지 않은 문장이 있을 수 있으니, 이용에 유의하시기 바랍니다.
핵심어 | 질문 | 논문에서 추출한 답변 |
---|---|---|
기상레이더의 장점은 무엇인가? | 기상레이더는 넓은 관측영역에 대해 높은 시ㆍ공간 분해능의 관측자료를 제공하기 때문에 호우, 태풍 등과 같은 악기상의 감시 및 예측에 매우 유용하다. 그러나 레이더 주변의 복잡한 지형은 낮은 고도각에서 지형에코와 빔차폐를 발생시켜 레이더 자료에 기반한 지상강우추정에 큰 오차를 유발한다. | |
기상레이더의 단점은 무엇인가? | 기상레이더는 넓은 관측영역에 대해 높은 시ㆍ공간 분해능의 관측자료를 제공하기 때문에 호우, 태풍 등과 같은 악기상의 감시 및 예측에 매우 유용하다. 그러나 레이더 주변의 복잡한 지형은 낮은 고도각에서 지형에코와 빔차폐를 발생시켜 레이더 자료에 기반한 지상강우추정에 큰 오차를 유발한다. | |
KNU-HSR기법의 특징은 무엇인가? | 레이더 반사도를 이용한 강수추정의 개선을 위해 새로운 접근 방식인 경북대학교에서 개발한 하이브리드 고도면을 이용한 강수량 추정기법(Hybrid Surface Rainfall, KNU-HSR)을 사용하였다. KNU-HSR기법은 지형에코와 레이더 빔차폐의 영향을 받지 않는 2차원 하이브리드 고도면에서의 반사도를 이용하여 강수량을 추정한다. 본 연구에서는 정적 HSR 및 동적 HSR기법이 사용되었으며 비교 검증되었다. |
Andrieu, H., Creutin, J.D., Delrieu, G., and Faure, D., 1997, Use of a weather radar for the hydrology of a mountainous area. Part I: Radar measurement interpretation. Journal of Hydrology, 193, 1-25.
Atlas, D., Srivastava, R.C., and Sekhon, R.S., 1973, Doppler radar characteristics of precipitation at vertical incidence. Reviews of Geophysics, 11, 1-35.
Bech, J., Codina, B., Lorente, J., and Bebbington, D., 2003, The sensitivity of single polarization weather radar beam blockage correction to variability in the vertical refractivity gradient. Journal of Atmospheric and Oceanic Technology, 20, 845-855.
Bellon, A. and Zawadzki, I., 2003, A 9-year summary of radar characteristics of mesocyclonic storms and of deep convection in Southern Quebec. Atmosphereocean, 41, 99-120.
Berenguer, M., Sempere-Torres, D., Corral. C., and S?nchez-Diezma, R., 2006, A fuzzy logic technique for identifying nonprecipitating echoes in radar scans. Journal of Atmospheric and Oceanic Technology, 23, 1157-1180.
Bringi, V., Chandrasekar, V., Balakrishnan, N., and Zrnic, D., 1990, An examination of propagation effects in rainfall on radar measurements at microwave frequencies. Journal of Atmospheric and Oceanic Technology, 7, 829-840.
Cho, Y.H., Lee, G., Kim, K.E., and Zawadzki, I., 2006, Identification and removal of ground echoes and anomalous propagation using the characteristics of radar echoes. Journal of Atmospheric and Oceanic Technology, 23, 1206-1222.
Creutin, J.D., Andrieu, H., and Faure, D., 1997, Use of a weather radar for the hydrology of a mountainous area. Part II: Radar measurement validation. Journal of Hydrology, 193, 26-44.
Delrieu, G. and Creutin, J.D., 1995, Simulation of radar mountain returns using a digitized terrain model. Journal of Atmospheric and Oceanic Technology, 12, 1038-1049.
Doviak, R.J. and Zrnic, D.S., 1993, Doppler radar and weather observations. Academic Press, San Diego, USA, 562 p.
Fulton, R.A., Breidenbach, J.P., Seo, D.J., Miller, D.A., and OOBannon, T., 1998, The WSR-88D rainfall algorithm. Weather and Forecasting, 13, 377-395.
Giangrande, S.E. and Ryzhkov, A.V., 2005, Calibration of dualpolarization radar in the presence of partial beam blockage. Journal of Atmospheric and Oceanic Technology, 22, 1156-1166.
Grecu, M. and Krajewski, W.F., 1999, Detection of anomalous propagation echoes in weather radar data using neural networks. Geoscience and Remote Sensing, 37, 287-296.
Hubbert, C.J., Dixon, M., Ellis, S.M., and Meymaris, G., 2009, Weather radar ground clutter. Part I: Identification, modeling, and simulation. Journal of Atmospheric and Oceanic Technology, 26, 1165-1180.
Jung, S.H. and Kim, K.E. 2007, Simulation of radar beam propagation using digital elevation model. Proceedings of the spring meeting of Korea Meteorological Society, Daejeon, Korea, 346-347.
Kabeche, F., Ventura, J.F., Fradon, B., Boumahmoud, A.A., Dupuy, P., Westrelin, S., and Tabary, P., 2011, Quantitative precipitation estimation (QPE) in the French Alps with a dense network of polarimetric Xband radars. Proceedings of the 35th Conference on Radar Meteorology, Pittsburgh, PA, American Meteorological Society, 11-150. https://ams.confex.com/ams/35Radar/webprogram/Paper191894.html.
Korea Air Force, 2012, Development of tracking technique of convective cell around an air base using three dimensional radar mosaic. 73rd weather group, 82 p. (in Korean)
Kruger, A. and Krajewski, W.F., 2002, Two-dimensional video disdrometer: A description. Journal of Atmospheric and Oceanic Technology, 19, 602-617.
Kucera, P.A., Krajewski, W.F., and Young, C.B., 2004, Radar beam occultation studies using GIS and DEM technology: An example study of Guam. Journal of Atmospheric and Oceanic Technology, 21, 995-1006.
Kwon, S., Lee, G., Jung, S.-H., Park, H.S., Suk, M.-K., Cha, J.W., and Lee, C.-K., 2012, Evaluation Radar and KNU QPE Algorithm. Proceedings of Internatinol Weather Radar Workshop, Daegu, Korea.
Kwon, S., 2012, Rainfall estimation from an operational Sband dual-polarization radar: Effect of radar calibration and uncertainty in dual-polarimetric parameters. M.S. thesis, Kyungpook National University, Daegu, Korea, 89 p.
Kwon, S., Lee, G.W., and Kim, G., 2015, Rainfall estimation from an operational S-band dual-polarization radar: Effect of radar calibration. Journal of the Meteorological Society of Japan, 93, doi:10.2151/jmsj.2015-005.
Lang, T.J., Nesbitt, S.W., and Carey, L.D., 2009, On the correction of partial beam blockage in polarimetric radar data. Journal of Atmospheric and Oceanic Technology, 26, 943-957.
Lee, G.W. and Zawadzki, I., 2006, Radar calibration by gage, disdrometer, and polarimetry: Theoretical limit caused by the variability of drop size distribution and application to fast scanning operational radar data. Journal of Hydrology, 328, 83-97.
Maddox, R.A., Zhang, J., Gourley, J.J., and Howard, K.W., 2002, Weather radar coverage over the contiguous United States. Weather and Forecasting, 17, 927-934.
Ministry of Land, Infrastructure and Transport, 2009, Study on the optimization of scan strategy of Mt. Bisl rain radar. Han River Flood Control Office, 11-1611492-000056-01, 199 p. (in Korean)
O'Bannon, T., 1997, Using a terrain-based hybrid scan to improve WSR-88D precipitation estimates. In. Proc. 28th Conference on Radar Meteorology, American Meteorological Society, 506-507.
Park, S.-G., Maki, M., Iwanami, K., Bringi, V.N., and Chandrasekar, V., 2005a, Correction of radar reflectivity and differential reflectivity for rain attenuation at Xband. Part II: Evaluation and application. Journal of Atmospheric and Oceanic Technology, 22, 1633-1655.
Park, S.-G., Bringi, V.N., Chandrasekar, V., Maki, M., and Iwanami, K., 2005b, Correction of radar reflectivity and differential reflectivity for rain attenuation at X band. Part I: Theoretical and empirical basis. Journal of Atmospheric and Oceanic Technology, 22, 1621-1632.
Park, S.-G. and Lee, G., 2010, Calibration of radar reflectivity measurements from the KMA operational radar network. Asia-Pacific Journal of Atmospheric Sciences, 46, 243-259.
Rico-Ramirez, M.A. and Cluckie, I.D., 2008, Classification of ground clutter and anomalous propagation using dual-polarization weather radar. Geoscience and Remote Sensing, 46, 1892-1904.
Shedd, R.C., Smith, J.A., and Walton, M.L., 1989, Sectorized hybrid scan strategy of the NEXRAD precipitation processing system. In. Proc. International symposium Hydrological Applications of Weather Radar, University of Salford, 9 p.
Shedd, R.C., Smith, J.A., and Walton, M.L., 1991, Sectorized hybrid scan strategy of the NEXRAD precipitation-processing system. In Cluckie, I.D. and Collier, C.G. (eds.), Hydrological Applications of Weather Radar. Ellis Horwood, Chichester, England, 151-159.
Steiner, M. and Smith, J.A., 2002, Use of threedimensional reflectivity structure for automated detection and removal of nonprecipitating echoes in radar data. Journal of Atmospheric and Oceanic Technology, 19, 673-686.
Thurai, M., Huang, G.J., Bringi, V.N., Randeu, W.L., and Schonhuber, M., 2007, Drop shapes, model comparisons, and calculations of polarimetric radar parameters in rain. Journal of Atmospheric and Oceanic Technology, 24, 1019-1032.
Vivekanandan, J., Adams, W., and Bringi, V., 1991, Rigorous approach to polarimetric radar modeling of hydrometeor orientation distributions. Journal of Applied Meteorology, 30, 1053-1063.
Ye, B.-Y., 2013, Quality control of radar moment data by combining moment-based fuzzy logic algorithm and radar signal processing. M.S.thesis, Kyungpook National University, Daegu, Korea, 72 p.
Zhang, J., Howard, K., Langston, C., Vasiloff, S., Kaney, B., Arthur, A., Cooten, S.V., Kelleher, K., Kitzmiller, D., Ding, F., Seo, D.-J., Wells, E., and Dempsey, C., 2011, National mosaic and multi-sensor QPE (NMQ) system: Description, results, and future plans. Bulletin of the American Meteorological Society, 92, 1321-1338.
Zhang, P., Zrnic, D., and Ryzhkov, A., 2013, Partial beam blockage correction using polarimetric radar measurements. Journal of Atmospheric and Oceanic Technology, 30, 861-872.
*원문 PDF 파일 및 링크정보가 존재하지 않을 경우 KISTI DDS 시스템에서 제공하는 원문복사서비스를 사용할 수 있습니다.
오픈액세스 학술지에 출판된 논문
※ AI-Helper는 부적절한 답변을 할 수 있습니다.