Rainfall-runoff modelling by using SM2RAIN-derived and state-of-the-art satellite rainfall products over Italy

International Journal of Applied Earth Observation and Geoinformation

Volumn 48, Issue , 2016, Pages 163-173

  Ciabatta, Luca ^a   Brocca, Luca ^a   Massari, Christian ^a   Moramarco, Tommaso ^a   Gabellani, Simone ^b   Puca, Silvia ^c   Wagner, Wolfgang ^d  

^a CNR Consiglio Nazionale delle Ricerche   (Italy)

^b International Centre on Environmental Monitoring   (Italy)

^c Civil Protection Department   (Italy)

^d VIENNA UNIVERSITY OF TECHNOLOGY   (Austria)

Author keywords

Floods; Hydrological modelling; Rainfall; Remote sensing; Soil moisture

Indexed keywords

DISCHARGE; FLOOD; HYDROLOGICAL MODELING; RAINFALL; RAINFALL-RUNOFF MODELING; RAINGAUGE; REMOTE SENSING; SATELLITE DATA; SOIL MOISTURE; TRMM;

ITALY;

EID: 85015860892     PISSN: 15698432     EISSN: 1872826X     Source Type: Journal    
DOI: 10.1016/j.jag.2015.10.004     Document Type: Article

References (41)

1. Artan, G., Gadain, H., Smith, J.L., Asante, K., Bandaragoda, J., Verdin, J.P., Adequacy of satellite derived rainfall data for stream flow modeling. Nat. Hazards 43 (2007), 167–185.
2. Bober, W., Introduction to Numerical and Analytical Methods with MATLAB for Engineers and Scientists. 2013, CRC Press, Inc., Boca Raton, FL, USA.
3. Brocca, L., Melone, F., Moramarco, T., On the estimation of antecedent wetness conditions in rainfall-runoff modelling. Hydrol. Process. 22:5 (2008), 629–642.
4. Brocca, L., Melone, F., Moramarco, T., Singh, V.P., A continuous rainfall—runoff model as a tool for the critical hydrological scenario assessment in natural channels. Taniguchi, M., Burnett, W.C., Fukushima, Y., Haigh, M., Umezawa, Y., (eds.) From Headwater to the Ocean. Hydrological Changes and Managements, 2009, Taylor & Francis Group, London, 175–179.
5. Brocca, L., Hasenauer, S., Lacava, T., Melone, F., Moramarco, T., Wagner, W., Dorigo, W., Matgen, P., Fernandez, J., Llorens, P., Latron, J., Martin, C., Bittelli, M., Soil moisture estimation through ASCAT and AMSR-E sensors: an intercomparison and validation study across Europe. Remote Sens. Environ. 115 (2011), 3390–3408.
6. Brocca, L., Melone, F., Moramarco, T., Distributed rainfall-runoff modelling for flood frequency estimation and flood forecasting. Hydrol. Process. 25:18 (2011), 2801–2813.
7. Brocca, L., Liersch, S., Melone, F., Moramarco, T., Volk, M., Application of a model-based rainfall-runoff database as efficient tool for flood risk management. Hydrol. Earth Syst. Sci. 17 (2013), 3159–3169.
8. Brocca, L., Melone, F., Moramarco, T., Wagner, W., A new method for rainfall estimation through soil moisture observations. Geophys. Res. Lett. 40:5 (2013), 853–858.
9. Brocca, L., Ciabatta, L., Massari, C., Moramarco, T., Hahn, S., Hasenauer, S., Kidd, R., Dorigo, W., Wagner, W., Levizzani, V., Soil as a natural raingauge: estimating rainfall from global satellite soil moisture data. J. Geophys. Res. 119:9 (2014), 5128–5141.
10. Ciabatta, L., Brocca, L., Moramarco, T., Wagner, W., Comparison of different satellite rainfall products over the Italian territory. Conference proceeding of XII International IAEG congress, Torino, 15–19 September, Engineering Geology For Society And Territory—Volume 3, 978-3-319-09053-5, 326570_1_En (126), 2015.
11. Ciabatta, L., Brocca, L., Massari, C., Moramarco, T., Puca, S., Rinollo, A., Gabellani, S., Wagner, W., Integration of soil moisture and rainfall observations over the Italian territory. J. Hydrometeorol. 16:3 (2015), 1341–1355.
12. Dee, D.P., et al. The ERA-Interim reanalysis: configuration and performance of the data assimilation system. Q. J. R. Meteor. Soc. 137 (2011), 553–597.
13. Doorenbos, J., Pruitt, W.O., Background and Development of Methods to Predict Reference Crop Evapotranspiration (ETo). In Crop Water Requirements. Fao Irrigation and Drainage Paper No. 24. 1977, FAO, Rome, 108–119 (Appendix II).
14. Draper, C., Walker, J.P., Steinle, P., De Jeu, R.A.M., Holmes, T.R.H., An evaluation of AMSR-E derived soil moisture over Australia. Remote Sens. Environ. 113:4 (2009), 703–710.
15. Famiglietti, J.S., Wood, E.F., Multiscale modeling of spatially variable water and energy balance processes. Water Resour. Res. 11 (1994), 306–3078.
16. Guetter, A.K., Georgakakos, K.P., Tsonis, A.A., Hydrologic applications of satellite data: 2. flow simulation and water estimates. J. Geophys. Res. 101 (1996), 26527–26538.
17. Harris, A., Rahman, S., Hossain, F., Yarborough, L., Bagtzoglou, A.C., Easson, G., Satellite-based flood modeling using TRMM-based rainfall products. Sensors 7 (2007), 3416–3427.
18. Hou, A.Y., Kakar, R.K., Neeck, S., Azarbarzin, A.A., Kummerow, C.D., Kojima, M., Oki, R., Nakamura, K., Iguchi, T., The Global Precipitation Measurement (GPM) mission. Bull. Am. Meteor. Soc. 95:5 (2013), 701–722.
19. Hsu, K.L., Gao, X.G., Sorooshian, S., Gupta, H.V., Precipitation estimation from remotely sensed information using artificial neural networks. J. Appl. Meteor. 36:9 (1997), 1176–1190.
20. Huffman, G.J., Adler, R.F., Bolvin, D.T., Gu, G., Nelkin, E.J., Bowman, K.P., Hong, Y., Stocker, E.F., Wolff, D.B., The TRMM multi-satellite precipitation analysis: quasi-global, multi-year, combined-sensor precipitation estimates at fine scale. J. Hydrometeorol. 8:1 (2007), 38–55.
21. Jongman, B., Hochrainer-Stigler, S., Feyen, L., Aerts, J.C., Mechler, R., Botzen, W.W., Bouwer, L.M., Pflug, G., Rojas, R., Ward, P.J., Increasing stress on disaster-risk finance due to large floods. Nat. Clim. Change 4:4 (2014), 264–268.
22. Joyce, R.J., Janowiak, J.E., Arkin, P.A., Xie, P.P., CMORPH: a method that produces global precipitation estimates from passive microwave and infrared data at high spatial and temporal resolution. J. Hydrometeorol. 5:3 (2004), 487–503.
23. Kidd, C., Levizzani, V., Status of satellite precipitation retrievals. Hydrol. Earth Syst. Sci. 15 (2011), 1109–1116.
24. Kidd, C., Bauer, P., Turk, J., Huffman, G.J., Joyce, R., Hsu, K.L., Braithwaite, D., Intercomparison of high-resolution precipitation products over the northwest Europe. J. Hydrometeorol. 13 (2012), 67–83.
25. Kucera, P.A., Ebert, E.E., Turk, F.J., Levizzani, V., Kirschbaum, D., Tapiador, F.J., Loew, A., Borsche, M., Precipitation from space: advancing earth system science. Bull. Am. Meteor. Soc. 94 (2013), 365–375.
26. Massari, C., Brocca, L., Moramarco, T., Tramblay, Y., J-FD, idon, L., escot, Potential of soil moisture observations in flood modelling: estimating initial conditions and correcting rainfall. Adv. Water Resour. 74 (2014), 44–53.
27. Massari, C., Brocca, L., Ciabatta, L., Moramarco, T., Gabellani, S., Albergel, C., De Rosnay, P., Puca, S., Wagner, W., The use of H-SAF soil moisture products for operational hydrology: flood modelling over Italy. Hydrology 2 (2015), 2–22.
28. Melone, F., Corradini, C., Singh, V.P., Lag prediction in ungauged basins: an investigation through actual data of the upper Tiber river valley. Hydrol. Process. 16 (2002), 1085–1094.
29. Mugnai, A., Casella, D., Cattani, E., Dietrich, S., Laviola, S., Levizzani, V., Panegrossi, G., Petracca, M., Sanò, P., Di Paola, F., Biron, D., De Leonibus, L., Melfi, D., Rosci, P., Vocino, A., Zauli, F., Pagliara, P., Puca, S., Rinollo, A., Milani, L., Porcù, F., Gattari, F., Precipitation products from the hydrology SAF. Nat. Hazards Earth Syst. Sci. 13 (2013), 1959–1981.
30. Nikolopoulos, E.I., Anagnostou, E.N., Borga, M., Using high-resolution satellite rainfall products to simulate a major flash flood event in northern Italy. J. Hydrometeorol. 14:1 (2013), 171–185.
31. Rudolf, B., Schneider, U., Calculation of gridded precipitation data for the global land-surface using in-situ gauge observations. Proc. 2nd Workshop Int. Precipitation Working Group, 2005, 231–247.
32. Serrat-Capdevilla, A., Valdes, J.B., Stakhiw, E.Z., Water management applications for satellite precipitation products: synthesis and recommendations. J. Am. Water Resour. Assoc. (JAWRA) 50:2 (2013), 509–525.
33. Stampoulis, D., Anagnostou, E.N., Evaluation of global satellite rainfall products over continenatl Europe. J. Hydrometeorol. 13 (2011), 588–603.
34. Stisen, S., Sandholt, I., Evaluation of remote-sensing-based rainfall products though predictive capability in hydrological runoff modelling. Hydrol. Process. 24 (2010), 879–891.
35. Tarnavsky, E., Mulligan, M., Ouessar, M., Faye, A., Black, E., Dynamic hydrological modeling in drylands with TRMM based rainfall. Remote Sens. 5:12 (2013), 6691–6716.
36. The NOAA Climate Prediction Center N, 2002. African Rainfall Estimation Algorithm –Version 2.0.
37. Thieming, V., Rojas, R., Zambrano-Bigiarini, M., De Roo, A., Hydrological evaluation of satellite-based rainfall estimates over the Volta and Baro-Akobo Basin. J. Hydrol. 499 (2013), 324–338.
38. Wagner, W., Hahn, S., Kidd, R., Melzer, T., Bartalis, Z., Hasenauer, S., Figa, J., de Rosnay, P., Jann, A., Schneider, S., Komma, J., Kubu, G., Brugger, K., Aubrecht, C., Zuger, J., Gangkofner, U., Kienberger, S., Brocca, L., Wang, Y., Bloeschl, G., Eitzinger, J., Steinnocher, K., Zeil, P., Rubel, F., The ASCAT soil moisture product: a review of its specifications, validation results, and emerging applications. Meteorol. Z. 22:1 (2013), 5–33.
39. Wake, B., Flooding costs. Nat. Clim. Change, 3, 2013, 778.
40. Xie, P., Arkin, A.P., Global precipitation: a 17-year monthly analysis based on gauge observations, satellite estimates, and numerical model outputs. Bull. Am. Meteorol. Soc. 78:11 (1997), 2539–2558.
41. Zhao, H., Yang, S., Wang, Z., Zhou, X., Luo, Y., Wu, L., Evaluating the suitability of TRMM satellite rainfall data for hydrological simulation using a distributed hydrological model in the Weihe River catchment in China. J. Geog. Sci. 25:2 (2015), 177–195.