globalchange  > 影响、适应和脆弱性
DOI: 10.1016/j.atmosres.2017.12.017
Scopus记录号: 2-s2.0-85044393827
论文题名:
Radar-derived quantitative precipitation estimation in complex terrain over the eastern Tibetan Plateau
作者: Gou Y.; Ma Y.; Chen H.; Wen Y.
刊名: Atmospheric Research
ISSN: 1698095
出版年: 2018
卷: 203
起始页码: 286
结束页码: 297
语种: 英语
英文关键词: Complex terrain ; Quantitative precipitation estimation (QPE) ; Reflectivity threshold ; Storm tracking/identification ; Tibetan Plateau ; Weather radar
Scopus关键词: Doppler radar ; Landforms ; Radar tracking ; Rain ; Rain gages ; Reflection ; Storms ; Complex terrains ; Precipitation characteristics ; Precipitation microphysics ; Quantitative precipitation estimation ; Spatial and temporal variability ; Spatiotemporal variability ; Tibetan Plateau ; Vertical profile of reflectivities ; Meteorological radar ; complex terrain ; estimation method ; precipitation assessment ; quantitative analysis ; radar ; storm track ; China ; Qinghai-Xizang Plateau
英文摘要: Quantitative precipitation estimation (QPE) is one of the important applications of weather radars. However, in complex terrain such as Tibetan Plateau, it is a challenging task to obtain an optimal Z–R relation due to the complex spatial and temporal variability in precipitation microphysics. This paper develops two radar QPE schemes respectively based on Reflectivity Threshold (RT) and Storm Cell Identification and Tracking (SCIT) algorithms using observations from 11 Doppler weather radars and 3264 rain gauges over the Eastern Tibetan Plateau (ETP). These two QPE methodologies are evaluated extensively using four precipitation events that are characterized by different meteorological features. Precipitation characteristics of independent storm cells associated with these four events, as well as the storm-scale differences, are investigated using short-term vertical profile of reflectivity (VPR) clusters. Evaluation results show that the SCIT-based rainfall approach performs better than the simple RT-based method for all precipitation events in terms of score comparison using validation gauge measurements as references. It is also found that the SCIT-based approach can effectively mitigate the local error of radar QPE and represent the precipitation spatiotemporal variability better than the RT-based scheme. © 2018 Elsevier B.V.
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资源类型: 期刊论文
标识符: http://119.78.100.158/handle/2HF3EXSE/108948
Appears in Collections:影响、适应和脆弱性
气候变化事实与影响

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作者单位: Hangzhou Meteorological Bureau, Hangzhou, 310051, China; Zhejiang Institute of Meteorological Sciences, Hangzhou, 321000, China; Department of Civil and Environmental Engineering, Hong Kong University of Science and Technology999077, Hong Kong; State Key Laboratory of Hydro-science and Engineering, Department of Hydraulic Engineering, Tsinghua University, Beijing, 100084, China; Colorado State University, Fort Collins, CO 80523, United States; NOAA/Earth System Research Laboratory, Boulder, CO 80305, United States; Cooperative Institute for Mesoscale Meteorological Studies, University of Oklahoma, Norman, OK 73019, United States; NOAA/National Severe Storms Laboratory, Norman, OK 73072, United States

Recommended Citation:
Gou Y.,Ma Y.,Chen H.,et al. Radar-derived quantitative precipitation estimation in complex terrain over the eastern Tibetan Plateau[J]. Atmospheric Research,2018-01-01,203
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