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Special Issue:
"Rain sensors"
Guest Editors:
Prof. Filippo Giannetti
Prof. Luca G. Lanza

Deadline for manuscript submissions:
30 September 2021

Flyer .pdf

Special Issue:
"Precipitation Measurement Instruments: Calibration, Accuracy and Performance"
Guess Editor:
Prof. Luca G. Lanza
Deadline for manuscript submissions:
30 September 2020

New publication:
Caloiero et al. (2020)
A Homogeneous Dataset for Rainfall Trend Analysis in the Calabria Region (Southern Italy).
Water, 12, 2541.

New publication:
Adirosi et al. (2020)
Rainfall and DSD parameters comparison between micro rain radar, two-dimensional video and PARSIVEL2 disdrometers, and S-band dual-polarization radar.
Journal of Atmospheric and Oceanic Thechnology, 37 (4), pages 621-640.

New publication:
Ravazzani et al. (2020)
Wind speed interpolation for evapotranspiration assessment in complex topography area.
Bulletin of Atmospheric Science and Technology, 1, pages 13-22.

New publication:
Cauteruccio et al. (2020)
The role of free-stream turbulence in attenuating the wind updraft above the collector of precipitation gauges.
Journal of Atmospheric and Oceanic Thechnology, 37, pages 103-113.

V meeting - Palermo, DICAM - University of Palermo

IV meeting - Cosenza, CNR-ISAFOM

Field calibration of ARPA Lombardia rain gauges in the Seveso river catchment.

Visit to the WMO/CIMO Field Test of the Lead Centre on Precipitation Intensity in Vigna di Valle

II meeting - Roma, CNR

Kick-off meeting - Genova



Inaccurate precipitation measurements have been recently recognised as the “wilfully neglected Achille’s heel” of hydro-meteorological sciences. Difficulties in achieving accurate measurements arise from various instrumental and environmental sources of systematic biases, resulting in a significant underestimation of the precipitation depth and intensity. The understated extent of the associated biases is largely unknown and varies with various environmental factors, due to the complexity of the controlling processes. Although attempts were made to standardise measurement procedures, this has never been successfully achieved.

Without any correction for or, in many cases, any awareness of such measurement errors, there is a grave risk of a breakdown in the understanding of hydro-meteorological processes in a scientific era dominated by modelling, which generally undervalues the principals of precise and accurate measurements. Implications describe an inconvenient truth in hydrological sciences, which transcends a variety of applications of precipitation data in hydrological models, from real-time flood forecasting to water resources management and urban hydrology. The calibration of satellite- and radar-based areal estimates of precipitation and the statistics derived from historic data series are also systematically affected.

The extent and implications of inherent instrumental biases and wind-induced undercatch of precipitation measurements in the modelling of hydrological processes at the basin scale is the main focus of this research project. The aim is to quantify the impact of incorrect measurements used as the forcing variable of physically based hydrological models on their typical output variables, including the flood peak and volume, time to peak, baseflow separation and the regression curves. The impact on the simulation of hydrological processes at the basin scale is investigated, such as evapotranspiration, infiltration, interception, etc. The methods used to achieve the project objectives include theoretical analysis, numerical simulation (CFD, distributed hydrological models, interpolation and data integration, statistical analysis) and full-scale experiments performed in the laboratory (wind tunnel) and in real-world experimental basins.

The main expected result is to provide scientific evidence of precipitation measurement biases and their impact on hydrological models, by showing the improvement obtained when corrections for instrumental and environmental errors are implemented. To achieve this, other intermediate results will be obtained, e.g. the development of suitable correction curves for the wind-induced undercatch, the improvement of areal rainfall estimates based on the integration of rain gauge, radar and satellite sources, and the development of dedicated statistical tools to improve the assessment of homogeneity in precipitation time series, climatic trends and extreme value statistics.

PRIN-15 Reconciling Precipitation with Runoff.