Autori: A. Biondi, L. Facheris, F. Argenti, F. Cuccoli, A. Antonini and S. Melani,

Rivista: IEEE Geoscience and Remote Sensing Letters, vol. 21, pp. 1-5, 2024,   

DOI: 10.1109/LGRS.2024.3434650 

Abstract:

Accurate Quantitative Precipitation Estimation (QPE) methods are essential for weather forecasting and for prevention of hydro-geological risk. QPE becomes even more important when facing severe precipitation events. In this letter, a comparison among different rainfall estimation methods is presented, using a severe event that occurred in Italy as a case study. In particular, the focus is on a merging method based on the dynamic adaptation of the Z–R relationship according to the spatio-temporal evolution of the observed phenomenon. Through a cross-validation analysis we quantitatively assess the effectiveness of such a method: compared to the others, it performs better on the average, while it can outperform them in critical rainfall conditions, confirming its potential for localizing and monitoring areas with greatest risks.