Comparison of Different Quantitative Precipitation Estimation Methods Based on a Severe Rainfall Event in Tuscany, Italy, November 2023
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 weat...
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MDPI AG
2024-10-01
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| Series: | Remote Sensing |
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| Online Access: | https://www.mdpi.com/2072-4292/16/21/3985 |
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| author | Alessio Biondi Luca Facheris Fabrizio Argenti Fabrizio Cuccoli |
| author_facet | Alessio Biondi Luca Facheris Fabrizio Argenti Fabrizio Cuccoli |
| author_sort | Alessio Biondi |
| collection | DOAJ |
| description | 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. |
| format | Article |
| id | doaj-art-7f49f68f5af94113b8cf277b743a647b |
| institution | Kabale University |
| issn | 2072-4292 |
| language | English |
| publishDate | 2024-10-01 |
| publisher | MDPI AG |
| record_format | Article |
| series | Remote Sensing |
| spelling | doaj-art-7f49f68f5af94113b8cf277b743a647b2024-11-08T14:40:24ZengMDPI AGRemote Sensing2072-42922024-10-011621398510.3390/rs16213985Comparison of Different Quantitative Precipitation Estimation Methods Based on a Severe Rainfall Event in Tuscany, Italy, November 2023Alessio Biondi0Luca Facheris1Fabrizio Argenti2Fabrizio Cuccoli3Department of Information Engineering, University of Florence, Via di Santa Marta 3, 50139 Florence, ItalyDepartment of Information Engineering, University of Florence, Via di Santa Marta 3, 50139 Florence, ItalyDepartment of Information Engineering, University of Florence, Via di Santa Marta 3, 50139 Florence, ItalyRadar and Surveillance Systems (RASS) Laboratory, Interuniversity National Consortium for Telecommunications (CNIT), Galleria G.B. Gerace 14, 56124 Pisa, ItalyAccurate 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.https://www.mdpi.com/2072-4292/16/21/3985weather radarrain gaugequantitative precipitation estimation (QPE)rainfalldata fusionmerging methods |
| spellingShingle | Alessio Biondi Luca Facheris Fabrizio Argenti Fabrizio Cuccoli Comparison of Different Quantitative Precipitation Estimation Methods Based on a Severe Rainfall Event in Tuscany, Italy, November 2023 Remote Sensing weather radar rain gauge quantitative precipitation estimation (QPE) rainfall data fusion merging methods |
| title | Comparison of Different Quantitative Precipitation Estimation Methods Based on a Severe Rainfall Event in Tuscany, Italy, November 2023 |
| title_full | Comparison of Different Quantitative Precipitation Estimation Methods Based on a Severe Rainfall Event in Tuscany, Italy, November 2023 |
| title_fullStr | Comparison of Different Quantitative Precipitation Estimation Methods Based on a Severe Rainfall Event in Tuscany, Italy, November 2023 |
| title_full_unstemmed | Comparison of Different Quantitative Precipitation Estimation Methods Based on a Severe Rainfall Event in Tuscany, Italy, November 2023 |
| title_short | Comparison of Different Quantitative Precipitation Estimation Methods Based on a Severe Rainfall Event in Tuscany, Italy, November 2023 |
| title_sort | comparison of different quantitative precipitation estimation methods based on a severe rainfall event in tuscany italy november 2023 |
| topic | weather radar rain gauge quantitative precipitation estimation (QPE) rainfall data fusion merging methods |
| url | https://www.mdpi.com/2072-4292/16/21/3985 |
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