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Remote Sensing
Volume 16
Issue 21
10.3390/rs16213985
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Article

Comparison of Different Quantitative Precipitation Estimation Methods Based on a Severe Rainfall Event in Tuscany, Italy, November 2023

by
Alessio Biondi
1,
Luca Facheris
1,*,
Fabrizio Argenti
1 and
Fabrizio Cuccoli
2
1
Department of Information Engineering, University of Florence, Via di Santa Marta 3, 50139 Florence, Italy
2
Radar and Surveillance Systems (RASS) Laboratory, Interuniversity National Consortium for Telecommunications (CNIT), Galleria G.B. Gerace 14, 56124 Pisa, Italy
*
Author to whom correspondence should be addressed.
Remote Sens. 2024, 16(21), 3985; https://doi.org/10.3390/rs16213985
Submission received: 13 September 2024 / Revised: 23 October 2024 / Accepted: 24 October 2024 / Published: 26 October 2024
(This article belongs to the Special Issue Remote Sensing of Precipitation Extremes)
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Abstract

Accurate quantitative precipitation estimation (QPE) is fundamental for a large number of hydrometeorological applications, especially when addressing extreme rainfall phenomena. This paper presents a comprehensive comparison of various rainfall estimation methods, specifically those relying on weather radar data, rain gauge data, and their fusion. The study evaluates the accuracy and reliability of each method in estimating rainfall for a severe event that occurred in Tuscany, Italy. The results obtained confirm that merging radar and rain gauge data outperforms both individual approaches by reducing errors and improving the overall reliability of precipitation estimates. This study highlights the importance of data fusion in enhancing the accuracy of QPE and also supports its application in operational contexts, providing further evidence for the greater reliability of merging methods.
Keywords: weather radar; rain gauge; quantitative precipitation estimation (QPE); rainfall; data fusion; merging methods weather radar; rain gauge; quantitative precipitation estimation (QPE); rainfall; data fusion; merging methods

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MDPI and ACS Style

Biondi, A.; Facheris, L.; Argenti, F.; Cuccoli, F. Comparison of Different Quantitative Precipitation Estimation Methods Based on a Severe Rainfall Event in Tuscany, Italy, November 2023. Remote Sens. 2024, 16, 3985. https://doi.org/10.3390/rs16213985

AMA Style

Biondi A, Facheris L, Argenti F, Cuccoli F. Comparison of Different Quantitative Precipitation Estimation Methods Based on a Severe Rainfall Event in Tuscany, Italy, November 2023. Remote Sensing. 2024; 16(21):3985. https://doi.org/10.3390/rs16213985

Chicago/Turabian Style

Biondi, Alessio, Luca Facheris, Fabrizio Argenti, and Fabrizio Cuccoli. 2024. "Comparison of Different Quantitative Precipitation Estimation Methods Based on a Severe Rainfall Event in Tuscany, Italy, November 2023" Remote Sensing 16, no. 21: 3985. https://doi.org/10.3390/rs16213985

APA Style

Biondi, A., Facheris, L., Argenti, F., & Cuccoli, F. (2024). Comparison of Different Quantitative Precipitation Estimation Methods Based on a Severe Rainfall Event in Tuscany, Italy, November 2023. Remote Sensing, 16(21), 3985. https://doi.org/10.3390/rs16213985

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