气候变化领域集成服务门户(CCPortal): Analysis of the streamflow extremes and long-term water balance in the Liguria region of Italy using a cloud-permitting grid spacing reanalysis dataset

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DOI	10.5194/hess-22-5403-2018
	Analysis of the streamflow extremes and long-term water balance in the Liguria region of Italy using a cloud-permitting grid spacing reanalysis dataset
	Silvestro F.; Parodi A.; Campo L.; Ferraris L.
发表日期	2018
ISSN	1027-5606
起始页码	5403
结束页码	5426
卷号	22 期号:10
英文摘要	The characterization of the hydro-meteorological extremes, in terms of both rainfall and streamflow, and the estimation of long-term water balance indicators are essential issues for flood alert and water management services. In recent years, simulations carried out with meteorological models are becoming available at increasing spatial and temporal resolutions (both historical reanalysis and near-real-time hindcast studies); thus, these meteorological datasets can be used as input for distributed hydrological models to drive a long-period hydrological reanalysis. In this work we adopted a high-resolution (4km spaced grid, 3-hourly) meteorological reanalysis dataset that covers Europe as a whole for the period between 1979 and 2008. This reanalysis dataset was used together with a rainfall downscaling algorithm and a rainfall bias correction (BC) technique in order to feed a continuous and distributed hydrological model. The resulting modeling chain allowed us to produce long time series of distributed hydrological variables for the Liguria region (northwestern Italy), which has been impacted by severe hydro-meteorological events. The available rain gauges were compared with the rainfall estimated by the dataset and then used to perform a bias correction in order to match the observed climatology. An analysis of the annual maxima discharges derived by simulated streamflow time series was carried out by comparing the latter with the observations (where available) or a regional statistical analysis (elsewhere). Eventually, an investigation of the long-term water balance was performed by comparing simulated runoff ratios (RRs) with the available observations. The study highlights the limits and the potential of the considered methodological approach in order to undertake a hydrological analysis in study areas mainly featured by small basins, thus allowing us to overcome the limits of observations which refer to specific locations and in some cases are not fully reliable. © Author(s) 2018.
语种	英语
scopus关键词	Hydrology; Rain gages; Stream flow; Time series; Time series analysis; Water management; Distributed hydrological model; Hydrological variables; Long-term water balances; Meteorological datasets; Meteorological extremes; Meteorological models; Methodological approach; Spatial and temporal resolutions; Rain; correction; discharge; downscaling; extreme event; flood; hydrological modeling; rainfall; runoff; spatiotemporal analysis; streamflow; time series analysis; Italy; Liguria
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/159881
作者单位	Silvestro, F., CIMA Research Foundation, Savona, Italy; Parodi, A., CIMA Research Foundation, Savona, Italy; Campo, L., CIMA Research Foundation, Savona, Italy; Ferraris, L., CIMA Research Foundation, Savona, Italy
推荐引用方式 GB/T 7714	Silvestro F.,Parodi A.,Campo L.,et al. Analysis of the streamflow extremes and long-term water balance in the Liguria region of Italy using a cloud-permitting grid spacing reanalysis dataset[J],2018,22(10).
APA	Silvestro F.,Parodi A.,Campo L.,&Ferraris L..(2018).Analysis of the streamflow extremes and long-term water balance in the Liguria region of Italy using a cloud-permitting grid spacing reanalysis dataset.Hydrology and Earth System Sciences,22(10).
MLA	Silvestro F.,et al."Analysis of the streamflow extremes and long-term water balance in the Liguria region of Italy using a cloud-permitting grid spacing reanalysis dataset".Hydrology and Earth System Sciences 22.10(2018).