RETRACTED ARTICLE: Changes in the characteristics of atmosphere–ocean interactions over the South China Sea during summer     

Hye-Yeong Jang  Sang-Wook Yeh  Eun-Chul Chang  Baek-Min Kim 《Climate Dynamics》2014,43(7-8):2311-2311

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Predicting potential epidemics of rice diseases in Korea using multi-model ensembles for assessment of climate change impacts with uncertainty information     

Kwang-Hyung Kim  Jaepil Cho 《Climatic change》2016,134(1-2):327-339

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Assessment of the Accuracy of Close Distance Photogrammetric JRC Data     

Dong Hyun Kim  George Poropat  Ivan Gratchev  Arumugam Balasubramaniam 《Rock Mechanics and Rock Engineering》2016,49(11):4285-4301

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Verification and Correction of Cloud Base and Top Height Retrievals from Ka–band Cloud Radar in Boseong,Korea     

Su-Bin Oh  Yeon-Hee Kim  Ki-Hoon Kim  Chun-Ho Cho  Eunha Lim 《大气科学进展》2016,33(1):73-84

In this study,cloud base height(CBH) and cloud top height(CTH) observed by the Ka-band(33.44 GHz) cloud radar at the Boseong National Center for Intensive Observation of Severe Weather during fall 2013(September-November) were verified and corrected.For comparative verification,CBH and CTH were obtained using a ceilometer(CL51) and the Communication,Ocean and Meteorological Satellite(COMS).During rainfall,the CBH and CTH observed by the cloud radar were lower than observed by the ceilometer and COMS because of signal attenuation due to raindrops,and this difference increased with rainfall intensity.During dry periods,however,the CBH and CTH observed by the cloud radar,ceilometer,and COMS were similar.Thin and low-density clouds were observed more effectively by the cloud radar compared with the ceilometer and COMS.In cases of rainfall or missing cloud radar data,the ceilometer and COMS data were proven effective in correcting or compensating the cloud radar data.These corrected cloud data were used to classify cloud types,which revealed that low clouds occurred most frequently.  相似文献   

Possible influence of South Asian high on summer rainfall variability in Korea     

Ki-Seon Choi  Baek-Jo Kim  Renhe Zhang  Jae-Cheol Nam  Ki-Jun Park  Jeoung-Yun Kim  Do-Woo Kim 《Climate Dynamics》2016,46(3-4):833-846

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Interaction of the recent 50 year SST trend and La Niña 2010: amplification of the Southern Annular Mode and Australian springtime rainfall     

Eun-Pa Lim  Harry H. Hendon  Julie M. Arblaster  Christine Chung  Aurel F. Moise  Pandora Hope  Griffith Young  Mei Zhao 《Climate Dynamics》2016,47(7-8):2273-2291

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Attribution of extreme temperature changes during 1951–2010     

Yeon-Hee Kim  Seung-Ki Min  Xuebin Zhang  Francis Zwiers  Lisa V. Alexander  Markus G. Donat  Yu-Shiang Tung 《Climate Dynamics》2016,46(5-6):1769-1782

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Influence of altered low cloud parameterizations for seasonal variation of Arctic cloud amount on climate feedbacks     

Yoojin Kim  Yong-Sang Choi  Baek-Min Kim  Hyerim Kim 《Climate Dynamics》2016,47(5-6):1661-1672

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Analysis of solar radiation on the surface estimated from GWNU solar radiation model with temporal resolution of satellite cloud fraction     

Il-Sung Zo  Joon-Bum Jee  Kyu-Tae Lee  Bu-Yo Kim 《Asia-Pacific Journal of Atmospheric Sciences》2016,52(4):405-412

Preliminary analysis with a solar radiation model is generally performed for photovoltaic power generation projects. Therefore, model accuracy is extremely important. The temporal and spatial resolutions used in previous studies of the Korean Peninsula were 1 km × 1 km and 1-h, respectively. However, calculating surface solar radiation at 1-h intervals does not ensure the accuracy of the geographical effects, and this parameter changes owing to atmospheric elements (clouds, aerosol, ozone, etc.). Thus, a change in temporal resolution is required. In this study, one-year (2013) analysis was conducted using Chollian geostationary meteorological satellite data from observations recorded at 15-min intervals. Observation data from the intensive solar site at Gangneung-Wonju National University (GWNU) showed that the coefficient of determination (R²), which was estimated for each month and season, increased, whereas the standard error (SE) decreased when estimated in 15-min intervals over those obtained in 1-h intervals in 2013. When compared with observational data from 22 solar sites of the Korean Meteorological Administration (KMA), R² was 0.9 or higher on average, and over- or under-simulated sites did not exceed 3 sites. The model and 22 solar sites showed similar values of annual accumulated solar irradiation, and their annual mean was similar at 4,998 MJ m^?2 (3.87 kWh m^?2). These results show a difference of approximately ± 70 MJ m^?2 (± 0.05 kWh m^?2) from the distribution of the Korean Peninsula estimated in 1-h intervals and a higher correlation at higher temporal resolution.  相似文献   

Comparison of prediction performance using statistical postprocessing methods     

Keunhee Han  JunTae Choi  Chansoo Kim 《Asia-Pacific Journal of Atmospheric Sciences》2016,52(5):495-507

As the 2018 Winter Olympics are to be held in Pyeongchang, both general weather information on Pyeongchang and specific weather information on this region, which can affect game operation and athletic performance, are required. An ensemble prediction system has been applied to provide more accurate weather information, but it has bias and dispersion due to the limitations and uncertainty of its model. In this study, homogeneous and nonhomogeneous regression models as well as Bayesian model averaging (BMA) were used to reduce the bias and dispersion existing in ensemble prediction and to provide probabilistic forecast. Prior to applying the prediction methods, reliability of the ensemble forecasts was tested by using a rank histogram and a residualquantile-quantile plot to identify the ensemble forecasts and the corresponding verifications. The ensemble forecasts had a consistent positive bias, indicating over-forecasting, and were under-dispersed. To correct such biases, statistical post-processing methods were applied using fixed and sliding windows. The prediction skills of methods were compared by using the mean absolute error, root mean square error, continuous ranked probability score, and continuous ranked probability skill score. Under the fixed window, BMA exhibited better prediction skill than the other methods in most observation station. Under the sliding window, on the other hand, homogeneous and non-homogeneous regression models with positive regression coefficients exhibited better prediction skill than BMA. In particular, the homogeneous regression model with positive regression coefficients exhibited the best prediction skill.  相似文献