Preprints
https://doi.org/10.5194/hess-2021-389
https://doi.org/10.5194/hess-2021-389

  22 Jul 2021

22 Jul 2021

Review status: this preprint is currently under review for the journal HESS.

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

Greta Cazzaniga1, Carlo De Michele1, Michele D'Amico2, Cristina Deidda1, Antonio Ghezzi1, and Roberto Nebuloni3 Greta Cazzaniga et al.
  • 1Dipartimento di Ingegneria Civile e Ambientale, Politecnico di Milano, Milan, Italy
  • 2Dipartimento di Elettronica, Informazione e Bioingegneria, Politecnico di Milano, Milan, Italy
  • 3Istituto di Elettronica e di Ingegneria dell’Informazione e delle Telecomunicazioni, Consiglio Nazionale delle Ricerche, Milan, Italy

Abstract. Commercial Microwave Links (CMLs) can be used as opportunistic and unconventional rainfall sensors by converting the received signal level into path-averaged rainfall intensity. Since in meteorology and hydrology the reliable reconstruction of the rainfall spatial distribution is still a challenging issue, there is a wide-spread interest in integrating the precipitation estimates gathered by the ubiquitous CMLs with the conventional rainfall sensors, i.e. rain gauges (RGs) and weather radars. Here we investigate the potential of a dense CML network, for the estimation of river discharges via a semi-distributed hydrological model. The analysis is conducted on Lambro, a peri-urban catchment located in northern Italy and covered by 50 links. A two-level comparison is made between CML- and RG-based outcomes, relying on 12 storm/flood events. First, rainfall data are spatially interpolated and assessed in a set of significant points of the catchment area. Rainfall depth values obtained from CMLs are definitively comparable with direct RG measurements, except for the spells of persistent light rain, due to limited sensitivity of CMLs caused by the coarse quantization step of raw power data. Moreover, it is showed that, when changing the type of rainfall input, a new calibration of model parameters is required. In fact, after the re-calibration of model parameters, CML-driven outputs performances are comparable with RG-driven ones, confirming that the exploitation of a CML network may lead to benefit in hydrological modelling.

Greta Cazzaniga et al.

Status: open (until 26 Sep 2021)

Comment types: AC – author | RC – referee | CC – community | EC – editor | CEC – chief editor | : Report abuse
  • CC1: 'Comment on hess-2021-389', Davide Luciano De Luca, 03 Aug 2021 reply
  • RC1: 'Comment on hess-2021-389', Geoff Pegram, 16 Aug 2021 reply
  • RC2: 'Review of HESS-2021-389', Anonymous Referee #2, 01 Sep 2021 reply

Greta Cazzaniga et al.

Greta Cazzaniga et al.

Viewed

Total article views: 374 (including HTML, PDF, and XML)
HTML PDF XML Total BibTeX EndNote
308 58 8 374 2 2
  • HTML: 308
  • PDF: 58
  • XML: 8
  • Total: 374
  • BibTeX: 2
  • EndNote: 2
Views and downloads (calculated since 22 Jul 2021)
Cumulative views and downloads (calculated since 22 Jul 2021)

Viewed (geographical distribution)

Total article views: 347 (including HTML, PDF, and XML) Thereof 347 with geography defined and 0 with unknown origin.
Country # Views %
  • 1
1
 
 
 
 
Latest update: 23 Sep 2021
Download
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 input. CML estimates agree with rain gauges data. CML-driven discharge simulations show performances comparable with those from rain gauges, if a CML-based calibration of the model is undertaken.