气候变化领域集成服务门户(CCPortal): Ability of an Australian reanalysis dataset to characterise sub-daily precipitation

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DOI	10.5194/hess-24-2951-2020
	Ability of an Australian reanalysis dataset to characterise sub-daily precipitation
	Chandra Acharya S.; Nathan R.; Wang Q.J.; Su C.-H.; Eizenberg N.
发表日期	2020
ISSN	1027-5606
起始页码	2951
结束页码	2962
卷号	24 期号:6
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).
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
来源期刊	Hydrology and Earth System Sciences
文献类型	期刊论文
条目标识符	http://gcip.llas.ac.cn/handle/2XKMVOVA/159382
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
推荐引用方式 GB/T 7714	Chandra Acharya S.,Nathan R.,Wang Q.J.,et al. Ability of an Australian reanalysis dataset to characterise sub-daily precipitation[J],2020,24(6).
APA	Chandra Acharya S.,Nathan R.,Wang Q.J.,Su C.-H.,&Eizenberg N..(2020).Ability of an Australian reanalysis dataset to characterise sub-daily precipitation.Hydrology and Earth System Sciences,24(6).
MLA	Chandra Acharya S.,et al."Ability of an Australian reanalysis dataset to characterise sub-daily precipitation".Hydrology and Earth System Sciences 24.6(2020).