http://chineseinput.net/에서 pinyin(병음)방식으로 중국어를 변환할 수 있습니다.
변환된 중국어를 복사하여 사용하시면 됩니다.
- 中文 을 입력하시려면 zhongwen을 입력하시고 space를누르시면됩니다.
- 北京 을 입력하시려면 beijing을 입력하시고 space를 누르시면 됩니다.
RISS 인기검색어
- 검색키워드
- 저자 : 정연앙(Yun-Ang Chung) (검색결과 2 건)
- 무료
- 기관 내 무료
- 유료
-
전대훈(Dae-Hun Jeon),강인숙(In-Sook Kang),정연앙(Yun-Ang Chung) 조선대학교 교과교육연구소 2011 敎科敎育硏究 Vol.32 No.1
A bright band means that the intensity of radar echo is more exaggeratedly displayed than the real amount of rain due to the permittivity difference of raindrop at the altitude under the layer of 0℃ (melting layer). When a bright band appears like as a more exaggerated echo, the value of the forecast amount of precipitation is overestimated than a real one. But even though the amount of precipitation is zero or less than 1.0mm in the regions where the bright band shows up, the error of forecast has occurred. The new method to distinguish between bright bands by making use of the radar image materials of the duel polarization radar installed at the weather radar research center has been developed. In the case studies, there were difficult to make a clear distinction of the altitudes on which bright bands appeared on the ZDR imagery, and the scope with a negative (-) value showed up on the very upper altitude of the altitude on which bright bands appeared. In the RHOHV imagery, while the correlation of the altitude on which bright bands appeared was lower relatively. In the KDP imagery, its value of the altitude on which bright bands appeared was higher in comparison with thatt of other altitudes, and the value with the negative (-) value turned up on the upper and lower altitude of the altitude on which bright bands appeared in both altitudes. Finally, in the PID imagery, the type of raindrop consisting of the altitudes on which bright bands appeared turned up as a form of grain, small hail, and hail. Of all the image materials used in the analysis work, bright bands showed clearly up in the RHOHV and KDP images.
-
황사농도 단기예측모델의 PM10 농도와 실측 PM10 농도의 비교
조창범(Changbum Cho),전영신(Youngsin Chun),구본양(Bonyang Ku),박순웅(Soon-Ung Park),이상삼(Sang-Sam Lee),정연앙(Yun-Ang Chung) 한국기상학회 2007 대기 Vol.17 No.1
Simulation results of Asian Dust Aerosol Model (ADAM) for the period of April 7-9, 2006 were analyzed, comparing with observed PM10 data. ADAM simulated around ten times lower than on-site PM10 concentration in the source regions: Zhurihe, Tongliao, Yushe, Dalian and Huimin. As the result of this low concentration, transported amounts of Asian Dust were under-estimated as well. In order to quantify a forecasting accuracy, Bias and RMSE were calculated. Even though remarkably negative Biases and high RMSEs were observed, ADAM simulation had followed well up the time of dust outbreak and a transported path. However, the emission process to generate dust from source regions requires a great enhancement. The PM10 concentration at the surface reached up to 2,300 ㎍ m?³ at Baeknyoungdo and Seoul (Mt. Gwanak), up to 1,750 ㎍ m?³ at KGAWO about 18:00 LST in April 8, respectively; however, ADAM did not simulate the same result on its second peak. It is considered that traveling Asian dust might have been lagged over the Korean peninsula by the blocking of surface high pressure. Moreover, the current RDAPS's 30 km grid resolution (which ADAM adopts as the meteorological input data) might not adequately represent small-scale atmospheric motions below planetary boundary layer.
ScienceON연관 검색어 추천
이 검색어로 많이 본 자료
활용도 높은 자료
