DOI: 10.5194/hess-24-2951-2020
论文题名: Ability of an Australian reanalysis dataset to characterise sub-daily precipitation
作者: Chandra Acharya S. ; Nathan R. ; Wang Q.J. ; Su C.-H. ; Eizenberg N.
刊名: Hydrology and Earth System Sciences
ISSN: 1027-5606
出版年: 2020
卷: 24, 期: 6 起始页码: 2951
结束页码: 2962
语种: 英语
Scopus关键词: Catchments
; Location
; Atmospheric reanalysis
; Bureau of meteorologies
; Catchment hydrology
; Daily precipitations
; Spatial displacement
; Spatial evaluations
; Spatiotemporal variability
; Temporal characteristics
; Rain
; catchment
; data set
; hydrometeorology
; performance assessment
; precipitation intensity
; radar
; spatiotemporal analysis
; Australia
英文摘要: The high spatio-temporal variability of precipitation is often difficult to characterise due to limited measurements. The available low-resolution global reanalysis datasets inadequately represent the spatio-temporal variability of precipitation relevant to catchment hydrology. The Bureau of Meteorology Atmospheric high-resolution Regional Reanalysis for Australia (BARRA) provides a high-resolution atmospheric reanalysis dataset across the Australasian region. For hydrometeorological applications, however, it is essential to properly evaluate the sub-daily precipitation from this reanalysis. In this regard, this paper evaluates the sub-daily precipitation from BARRA for a period of 6 years (2010-2015) over Australia against point observations and blended radar products. We utilise a range of existing and bespoke metrics for evaluation at point and spatial scales. We examine bias in quantile estimates and spatial displacement of sub-daily rainfall at a point scale. At a spatial scale, we use the fractions skill score as a spatial evaluation metric. The results show that the performance of BARRA precipitation depends on spatial location, with poorer performance in tropical relative to temperate regions. A possible spatial displacement during large rainfall is also found at point locations. This displacement, evaluated by comparing the distribution of rainfall within a day, could be quantified by considering the neighbourhood grids. On spatial evaluation, hourly precipitation from BARRA is found to be skilful at a spatial scale of less than 100km (150km) for a threshold of 75th percentile (90th percentile) at most of the locations. The performance across all the metrics improves significantly at time resolutions higher than 3h. Our evaluations illustrate that the BARRA precipitation, despite discernible spatial displacements, serves as a useful dataset for Australia, especially at sub-daily resolutions. Users of BARRA are recommended to properly account for possible spatio-temporal displacement errors, especially for applications where the spatial and temporal characteristics of rainfall are deemed very important. © 2020 Author(s). Citation statistics:
资源类型: 期刊论文
标识符: http://119.78.100.158/handle/2HF3EXSE/162672
Appears in Collections: 气候变化与战略
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作者单位: Chandra Acharya, S., 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., Department of Infrastructure Engineering, University of Melbourne, Melbourne, Australia, Bureau of Meteorology, Melbourne, Australia; Eizenberg, N., Bureau of Meteorology, Melbourne, Australia
Recommended Citation:
Chandra Acharya S.,Nathan R.,Wang Q.J.,et al. Ability of an Australian reanalysis dataset to characterise sub-daily precipitation[J]. Hydrology and Earth System Sciences,2020-01-01,24(6)