Articles | Volume 26, issue 8
https://doi.org/10.5194/hess-26-2093-2022
https://doi.org/10.5194/hess-26-2093-2022
Research article
 | 
27 Apr 2022
Research article |  | 27 Apr 2022

Hydrological response of a peri-urban catchment exploiting conventional and unconventional rainfall observations: the case study of Lambro Catchment

Greta Cazzaniga, Carlo De Michele, Michele D'Amico, Cristina Deidda, Antonio Ghezzi, and Roberto Nebuloni

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Cited articles

Alberoni, P., Andersson, T., Mezzasalma, P., Michelson, D., and Nanni, S.: Use of the vertical reflectivity profile for identification of anomalous propagation, Meteorol. Appl., 8, 257–266, https://doi.org/10.1017/S1350482701003012, 2001. a
Arnaud, P., Lavabre, J., Fouchier, C., Diss, S., and Javelle, P.: Sensitivity of hydrological models to uncertainty in rainfall input, Hydrolog. Sci. J., 56, 397–410, https://doi.org/10.1080/02626667.2011.563742, 2011. a
Atlas, D. and Ulbrich, C. W.: Path-and area-integrated rainfall measurement by microwave attenuation in the 1–3 cm band, J. Appl. Meteorol. Clim., 16, 1322–1331, https://doi.org/10.1175/1520-0450(1977)016<1322:PAAIRM>2.0.CO;2, 1977. a
Bárdossy, A. and Das, T.: Influence of rainfall observation network on model calibration and application, Hydrol. Earth Syst. Sci., 12, 77–89, https://doi.org/10.5194/hess-12-77-2008, 2008. a
Bengtsson, L.: Daily and hourly rainfall distribution in space and time–conditions in southern Sweden, Hydrol. Res., 42, 86–94, https://doi.org/10.2166/nh.2011.080b, 2011. a
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Short summary
Rainfall estimates are usually obtained from rain gauges, weather radars, or satellites. An alternative is the measurement of the signal loss induced by rainfall on commercial microwave links (CMLs). In this work, we assess the hydrologic response of Lambro Basin when CML-retrieved rainfall is used as model input. CML estimates agree with rain gauge data. CML-driven discharge simulations show performance comparable to that from rain gauges if a CML-based calibration of the model is undertaken.
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