Rainfall-runoff modelling by using SM2RAIN-derived and state-of-the-art satellite rainfall products over Italy |
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| Affiliation: | 1. Research Institute for Geo-hydrological Protection, National Research Council, Perugia, Italy;2. International Centre of Environmental Monitoring, Savona, Italy;3. Civil Protection Department, Rome, Italy;4. Department of Geodesy and Geoinformation, Vienna University of Technology, Vienna, Austria;1. Department of Water Resources, Faculty of Geo-information Science and Earth Observation (ITC), University of Twente, P.O. Box 217, 7500AA, Enschede, The Netherlands;2. Department of Earth and Environmental Science, Botswana International University of Science & Technology, Private Bag 16, Palapye, Botswana;1. Research Institute for Geo-Hydrological Protection, National Research Council, Perugia, Italy;2. Institute of Atmospheric Sciences and Climate, National Research Council, Rome, Italy;3. Department of Civil and Environmental Engineering, University of Perugia, Italy;1. Department of Irrigation and Hydraulics Engineering, Faculty of Engineering, Tanta University, Tanta, Egypt;2. Center for Hydrometeorology and Remote Sensing, Department of Civil and Environmental Engineering, University of California Irvine, E/4130 Engineering Gateway, Irvine, CA 92697-2175, USA;1. Research Institute for Geo-Hydrological Protection, National Research Council, Perugia, Italy;2. Hydrosciences Montpellier, CNRS-IRD-UM1-UM2, Université Montpellier 2, Maison des Sciences de l’Eau, Place Eugène Bataillon, 34095 Montpellier Cedex 5, France;3. UMR-7300 ESPACE CNRS, Départment de Géographie, Université de Nice-Sophia-Antipolis, Nice, France;1. Faculty ITC, University of Twente, The Netherlands;2. University of Zimbabwe, Department of Construction and Civil Engineering, Zimbabwe;3. International Water Management Institute (IWMI), Ethiopia;4. Department of Civil Engineering, University of Siegen, Germany |
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| Abstract: | 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. |
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| Keywords: | Floods Rainfall Soil moisture Remote sensing Hydrological modelling |
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