DOI: 10.1016/j.jag.2015.10.004
Scopus记录号: 2-s2.0-85015860892
论文题名: Rainfall-runoff modelling by using SM2RAIN-derived and state-of-the-art satellite rainfall products over Italy
作者: Ciabatta L ; , Brocca L ; , Massari C ; , Moramarco T ; , Gabellani S ; , Puca S ; , Wagner W
刊名: International Journal of Applied Earth Observation and Geoinformation
ISSN: 15698432
出版年: 2016
卷: 48 起始页码: 163
结束页码: 173
语种: 英语
英文关键词: Floods
; Hydrological modelling
; Rainfall
; Remote sensing
; Soil moisture
Scopus关键词: discharge
; flood
; hydrological modeling
; rainfall
; rainfall-runoff modeling
; raingauge
; remote sensing
; satellite data
; soil moisture
; TRMM
; Italy
英文摘要: Satellite rainfall products (SRPs) are becoming more accurate with ever increasing spatial and temporal resolution. This evolution can be beneficial for hydrological applications, providing new sources of information and allowing to drive models in ungauged areas. Despite the large availability of rainfall satellite data, their use in rainfall-runoff modelling is still very scarce, most likely due to measurement issues (bias, accuracy) and the hydrological community acceptability of satellite products. In this study, the real-time version (3B42-RT) of Tropical Rainfall Measurement Mission Multi-satellite Precipitation Analysis, TMPA, and a new SRP based on the application of SM2RAIN algorithm (Brocca et al., 2014) to the ASCAT (Advanced SCATterometer) soil moisture product, SM2RASC, are used to drive a lumped hydrologic model over four basins in Italy during the 4-year period 2010–2013. The need of the recalibration of model parameter values for each SRP is highlighted, being an important precondition for their suitable use in flood modelling. Results shows that SRPs provided, in most of the cases, performance scores only slightly lower than those obtained by using observed data with a reduction of Nash–Sutcliffe efficiency (NS) less than 30% when using SM2RASC product while TMPA is characterized by a significant deterioration during the validation period 2012–2013. Moreover, the integration between observed and satellite rainfall data is investigated as well. Interestingly, the simple integration procedure here applied allows obtaining more accurate rainfall input datasets with respect to the use of ground observations only, for 3 out 4 basins. Indeed, discharge simulations improve when ground rainfall observations and SM2RASC product are integrated, with an increase of NS between 2 and 42% for the 3 basins in Central and Northern Italy. Overall, the study highlights the feasibility of using SRPs in hydrological applications over the Mediterranean region with benefits in discharge simulations also in well gauged areas. © 2015 Elsevier B.V. Citation statistics:
资源类型: 期刊论文
标识符: http://119.78.100.158/handle/2HF3EXSE/80082
Appears in Collections: 气候变化事实与影响
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作者单位: Research Institute for Geo-hydrological Protection, National Research Council, Perugia, Italy; International Centre of Environmental Monitoring, Savona, Italy; Civil Protection Department, Rome, Italy; Department of Geodesy and Geoinformation, Vienna University of Technology, Vienna, Austria
Recommended Citation:
Ciabatta L,, Brocca L,, Massari C,et al. Rainfall-runoff modelling by using SM2RAIN-derived and state-of-the-art satellite rainfall products over Italy[J]. International Journal of Applied Earth Observation and Geoinformation,2016-01-01,48