globalchange  > 气候变化与战略
DOI: 10.5194/hess-22-3435-2018
论文题名:
Geostatistical assessment of warm-season precipitation observations in Korea based on the composite precipitation and satellite water vapor data
作者: Park S.; Ki Park S.; Whan Lee J.; Park Y.
刊名: Hydrology and Earth System Sciences
ISSN: 1027-5606
出版年: 2018
卷: 22, 期:6
起始页码: 3435
结束页码: 3452
语种: 英语
Scopus关键词: Autocorrelation ; Disasters ; Spatial variables measurement ; Weather forecasting ; Brightness temperatures ; Geostatistical analysis ; Meteorological disasters ; Numerical weather prediction ; Precipitation systems ; Spatial autocorrelations ; Temporal characteristics ; Warm season precipitation ; Water vapor ; assessment method ; brightness temperature ; composite ; geostatistics ; observational method ; precipitation (climatology) ; rainfall ; satellite data ; typhoon ; water vapor ; weather forecasting ; Korea
英文摘要: Among the meteorological disasters, heavy rainfalls cause the second largest damage in Korea, following typhoons. To manage the potential disasters due to heavy rainfalls, understanding the observational characteristics of precipitation is of utmost importance. In this study, we investigate the spatial and temporal characteristics of warm-season precipitation in Korea, according to the precipitation types, by conducting the geostatistical analyses such as an autocorrelogram, Moran's I and general G on the composite (radar+station) precipitation data. The e-folding distance of precipitation ranges from 15 to 35km, depending on the spatial distribution, rather than intensity, of precipitation, whereas the e-folding time ranges from 1 to 2h. The directional analyses revealed that the warm-season precipitation systems in Korea, especially those with a high precipitation amount, have high spatial autocorrelations in the southwest-northeast and west-east directions, in association with the frontal rainfalls, convection bands, etc. Furthermore, the cluster versus dispersion patterns and the hot versus cold spots are analyzed through Moran's I and general G, respectively. Water vapor, represented by the brightness temperature, from three Himawari-8 water vapor bands also shows similar characteristics with precipitation but with strong spatial correlation over a much longer distance (∼ 100km), possibly due to the continuity of water vapor. We found that, under the e-folding-based standard, the current observation network of Korea is sufficient to capture the characteristics of most precipitation systems; however, under a strict standard (e.g., autocorrelation of 0.6), a higher-resolution observation network is essentially required - especially in local areas with frequent heavy rainfalls - depending on the directional features of precipitation systems. Establishing such an observation network based on the characteristics of precipitation enables us to improve monitoring, tracking, and prediction skills of high-impact weather phenomena as well as to enhance the utilization of numerical weather prediction. © Author(s) 2018.
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资源类型: 期刊论文
标识符: http://119.78.100.158/handle/2HF3EXSE/163275
Appears in Collections:气候变化与战略

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作者单位: Park, S., Department of Climate and Energy Systems Engineering, Ewha Womans University, Seoul, South Korea, Severe Storm Research Center, Ewha Womans University, Seoul, South Korea, Center for Climate/Environment Change Prediction Research, Ewha Womans University, Seoul, South Korea; Ki Park, S., Department of Climate and Energy Systems Engineering, Ewha Womans University, Seoul, South Korea, Department of Environmental Science and Engineering, Ewha Womans University, Seoul, South Korea, Severe Storm Research Center, Ewha Womans University, Seoul, South Korea, Center for Climate/Environment Change Prediction Research, Ewha Womans University, Seoul, South Korea; Whan Lee, J., Korea Meteorological Administration, Seoul, South Korea; Park, Y., Korea Meteorological Administration, Seoul, South Korea

Recommended Citation:
Park S.,Ki Park S.,Whan Lee J.,et al. Geostatistical assessment of warm-season precipitation observations in Korea based on the composite precipitation and satellite water vapor data[J]. Hydrology and Earth System Sciences,2018-01-01,22(6)
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