DOI: 10.5194/hess-23-3387-2019
论文题名: An evaluation of daily precipitation from a regional atmospheric reanalysis over Australia
作者: Acharya S.C. ; Nathan R. ; Wang Q.J. ; Su C.-H. ; Eizenberg N.
刊名: Hydrology and Earth System Sciences
ISSN: 1027-5606
出版年: 2019
卷: 23, 期: 8 起始页码: 3387
结束页码: 3403
语种: 英语
Scopus关键词: Efficiency
; Precipitation (meteorology)
; Probability distributions
; Tropics
; Atmospheric process
; Atmospheric reanalysis
; Bureau of meteorologies
; Daily precipitations
; Evaluation metrics
; Meteorological analysis
; Physical parameterization
; Transition probabilities
; Quality control
; atmospheric dynamics
; climatology
; data set
; gauge
; parameterization
; performance assessment
; precipitation (climatology)
; regional climate
; Australia
英文摘要: An accurate representation of spatiooral characteristics of precipitation fields is fundamental for many hydro-meteorological analyses but is often limited by the paucity of gauges. Reanalysis models provide systematic methods of representing atmospheric processes to produce datasets of spatiooral precipitation estimates. The precipitation from the reanalysis datasets should, however, be evaluated thoroughly before use because it is inferred from physical parameterization. In this paper, we evaluated the precipitation dataset from the Bureau of Meteorology Atmospheric high-resolution Regional Reanalysis for Australia (BARRA) and compared it against (a) gauged point observations, (b) an interpolated gridded dataset based on gauged point observations (AWAP - Australian Water Availability Project), and (c) a global reanalysis dataset (ERA-Interim). We utilized a range of evaluation metrics such as continuous metrics (correlation, bias, variability, and modified Kling-Gupta efficiency), categorical metrics, and other statistics (wet-day frequency, transition probabilities, and quantiles) to ascertain the quality of the dataset. BARRA, in comparison with ERA-Interim, shows a better representation of rainfall of larger magnitude at both the point and grid scale of 5 km. BARRA also more closely reproduces the distribution of wet days and transition probabilities. The performance of BARRA varies spatially, with better performance in the temperate zone than in the arid and tropical zones. A point-to-grid evaluation based on correlation, bias, and modified Kling-Gupta efficiency (KGE′) indicates that ERA-Interim performs on par or better than BARRA. However, on a spatial scale, BARRA outperforms ERA-Interim in terms of the KGE′ score and the components of the KGE′ score. Our evaluation illustrates that BARRA, with richer spatial variations in climatology of daily precipitation, provides an improved representation of precipitation compared with the coarser ERA-Interim. It is a useful complement to existing precipitation datasets for Australia, especially in sparsely gauged regions. © 2019 The Author(s). Citation statistics:
资源类型: 期刊论文
标识符: http://119.78.100.158/handle/2HF3EXSE/162916
Appears in Collections: 气候变化与战略
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作者单位: Acharya, S.C., Department of Infrastructure Engineering, University of Melbourne, Melbourne, Australia; Nathan, R., Department of Infrastructure Engineering, University of Melbourne, Melbourne, Australia; Wang, Q.J., Department of Infrastructure Engineering, University of Melbourne, Melbourne, Australia; Su, C.-H., Bureau of Meteorology, Melbourne, Australia; Eizenberg, N., Bureau of Meteorology, Melbourne, Australia
Recommended Citation:
Acharya S.C.,Nathan R.,Wang Q.J.,et al. An evaluation of daily precipitation from a regional atmospheric reanalysis over Australia[J]. Hydrology and Earth System Sciences,2019-01-01,23(8)