Using Globally Available Soil Moisture Indicators for Flood Modelling in Mediterranean Catchments : Volume 10, Issue 8 (22/08/2013)

By Massari, C.

Book Id: WPLBN0004011500
Format Type: PDF Article :
File Size: Pages 37
Reproduction Date: 2015

Title:	Using Globally Available Soil Moisture Indicators for Flood Modelling in Mediterranean Catchments : Volume 10, Issue 8 (22/08/2013)
Author:	Massari, C.
Volume:	Vol. 10, Issue 8
Language:	English
Subject:	Science, Hydrology, Earth
Collections:	Periodicals: Journal and Magazine Collection, Copernicus GmbH
Historic Publication Date:	2013
Publisher:	Copernicus Gmbh, Göttingen, Germany


Citation APA MLA Chicago Barbetta, S., Brocca, L., Papathanasiou, C., Moramarco, T., Mimikou, M., & Massari, C. (2013). Using Globally Available Soil Moisture Indicators for Flood Modelling in Mediterranean Catchments : Volume 10, Issue 8 (22/08/2013). Retrieved from https://gutenberg.cc/

Description
Description: Research Institute for Geo-Hydrological Protection, National Research Council, Perugia, Italy. Floods are one of the most dangerous natural hazards in Mediterranean regions. Flood forecasting tools and early warning systems can be very beneficial to reduce flood risk. Event-based rainfall runoff models are frequently employed for operational flood forecasting purposes because of their simplicity and the reduced number of parameters involved with respect to continuous models. However, the advantages that are related with the reduced parameterization face against the need for a correct initialization of the model, especially in areas affected by strong climate seasonality. On the other hand, the use of continuous models may be very problematic in poorly gauged areas. This paper introduces a simplified continuous rainfall-runoff model, which uses globally available soil moisture retrievals to identify the initial wetness condition of the catchment, and, only event rainfall data to simulate discharge hydrographs. The model calibration involves only 3 parameters. For soil moisture, beside in situ and modelled data, satellite products from the Advanced SCATterometer (ASCAT) and the Advanced Microwave Scanning Radiometer for Earth observation (AMSR-E) sensors are employed. Additionally, the ERA-LAND reanalysis soil moisture product of the European Centre for Medium Range Weather Forecasting (ECMWF) is used.

The model was tested in the small catchment of Rafina, 109 km² located in the Eastern Attica region, Greece. Specifically, fifteen rainfall-runoff events were modelled by considering different configurations for the initial soil moisture conditions. Comparing the performance of the different soil moisture products, it was found that all global indicators allow reproducing fairly well the selected flood events providing much better results than the situation where a constant initial condition is provided. ERA-LAND slightly outperforms the satellite soil moisture products and in general, all the indicators give the same performance obtained by ground and continuously simulated soil moisture data. Due to the wide diffusion of globally available soil moisture retrievals and the small amount of parameters used, the proposed modelling approach is very suitable for runoff prediction in poorly gauged areas.

Summary
Using globally available soil moisture indicators for flood modelling in Mediterranean catchments

Excerpt
Albergel, C., de Rosnay, P., Gruhier, C., Muñoz-Sabater, J., Hasenauer, S., Isaksen, L., Kerr, Y., Wagner, W.: Evaluation of remotely sensed and modelled soil moisture products using global ground-based in situ observations, Remote Sens. Environ., 118, 215–226, 2012.; Barredo, J. I.: Major flood disasters in Europe: 1950–2005, Nat. Hazards, 42, 125–148, 2006.; Alonistioti, D.: Investigation of forest fire impact on the hydrological response of river basins in Eastern Attica region. Master Thesis, Inter-Departmental Postgraduate Course Water Resources Science and Technology, National Technical University of Athens, 2011 (in Greek).; Aronica, G. and Candela, A.: A Regional Methodology for Deriving Flood Frequency Curves (FFC) in Partially Gauged Catchments with Uncertain Knowledge of Soil Moisture Conditions, in: Proc. iEMSs 2004, University of Osnabru, Germany, 1147–1183, 2002.; Balsamo, G., Albergel, C., Beljaars, A., Boussetta, S., Brun, E., Cloke, H., Dee, D. Dutra, E., Pappenberger, F., de Rosnay, P., Muñoz Sabater, J., Stockdale, T., and Vitart, F.: ERA-Interim/Land: A global land-surface reanalysis based on ERA-Interim meteorological forcing. Era Report series: European Centre for Medium Range Weather Forecasts (ECWMF), 13, p. 25, 2012.; Bartalis, Z., Wagner, W., Naeimi, V., Hasenauer, S., Scipal, K., Bonekamp, H, Figa, J., and Anderson, C.: Initial soil moisture retrievals from the METOP-A advanced Scatterometer (ASCAT), Geophys. Res. Lett., 34, L20401, doi:10.1029/2007GL031088, 2007.; Beck, H. E., de Jeu, R. A. M., Schellekens, J., van Dijk, A. I. J. M., and Bruijnzeel, L. A.: Improving Curve Number Based Storm Runoff Estimates Using Soil Moisture Proxies, Selected Topics in Applied Earth Observations and Remote Sensing, IEEE Journal of selected topics in applied earth observations and remote sensing, 2, 250–259, doi:10.1109/JSTARS.2009.2031227, 2009.; Beven, K.: A manifesto for the equifinality thesis, J. Hydrol., 320, 18–36, 2006.; Brocca, L., Melone, F., and Moramarco, T.: On the estimation of antecedent wetness conditions in rainfall – runoff modelling, Hyrol. Process., 642, 629–642, 2008.; Brocca, L., Melone, F., Moramarco, T., and Singh, V. P.: Assimilation of Observed Soil Moisture Data in Storm Rainfall-Runoff Modeling, J. Hydraul. Eng., 2, 153–165, 2009a.; Brocca, L., Melone, F., and Moramarco, T.: Antecedent Wetness Conditions based on ERS scatterometer data in support to rainfall-runoff modeling, J. Hydrol., 364, 73–86, 2009b.; Brocca, L., Melone, F., Moramarco, T., Wagner, W., Naeimi, V., Bartalis, Z., and Hasenauer, S.: Improving runoff prediction through the assimilation of the ASCAT soil moisture product, Hydrol. Earth Syst. Sci., 14, 1881–1893, doi:10.5194/hess-14-1881-2010, 2010.; Brocca, L., Melone, F., Moramarco, T., and Wagner, W.: What perspective in remote sensing of soil moisture for hydrological applications by coarse-resolution sensors. in: Proc SPIE, Vol. 8174, edited by: Christopher, M. U., Neale and Antonino Maltese, 2011a.; Brocca, L., Melone, F., and Moramarco, T.: Distributed rainfall-runoff modelling for flood frequency estimation and flood forecasting, Hydrol. Process., 25, 2801–2813, 2011b.; Brocca, L., Hasenauer, S., Lacava, T., Melone, F., Moramarco, T., Wagner, W., Dorigo, W., Matgen, P., Mart\'inez-Fernández, J., Llorens, P., Latron, J., Martin, C., and Bittelli, M.: Soil moisture estimation through ASCAT and AMSR-E sensors: an intercomparison and validation study across Europe, Remote Sens. Environ., 115, 3390–3408, doi:10.1016/j.rse.2011.08.003, 2011c.; Brocca, L., Melone, F., Moramarco, T., and Wagner, W.: A new method for rainfall estimation through soil moisture observations, Geophys. Res. Lett., 40, 853–858, doi:10.1002/grl.50173, 2013.; Camici, S., Tarpanelli, A., Brocca, L., Melo





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