Performance Evaluation of Satellite Precipitation Products During Extreme Events—The Case of the Medicane Daniel in Thessaly, Greece
Mediterranean tropical-like cyclones, or Medicanes, present unique challenges for precipitation estimations due to their rapid development and localized impacts. This study evaluates the performance of satellite precipitation products in capturing the precipitation associated with Medicane Daniel th...
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MDPI AG
2024-11-01
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| Online Access: | https://www.mdpi.com/2072-4292/16/22/4216 |
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| author | Dimitrios Katsanos Adrianos Retalis John Kalogiros Basil E. Psiloglou Nikolaos Roukounakis Marios Anagnostou |
| author_facet | Dimitrios Katsanos Adrianos Retalis John Kalogiros Basil E. Psiloglou Nikolaos Roukounakis Marios Anagnostou |
| author_sort | Dimitrios Katsanos |
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| description | Mediterranean tropical-like cyclones, or Medicanes, present unique challenges for precipitation estimations due to their rapid development and localized impacts. This study evaluates the performance of satellite precipitation products in capturing the precipitation associated with Medicane Daniel that struck Greece in early September 2023. Utilizing a combination of ground-based observations, reanalysis, and satellite-derived precipitation data, we assess the accuracy and spatial distribution of the satellite precipitation products GPM IMERG, GSMaP, and CMOPRH during the cyclone event, which formed in the Eastern Mediterranean from 4 to 7 September 2023, hitting with unprecedented, enormous amounts of rainfall, especially in the region of Thessaly in central Greece. The results indicate that, while satellite precipitation products demonstrate overall skill in capturing the broad-scale precipitation patterns associated with Medicane Daniel, discrepancies exist in estimating localized intense rainfall rates, particularly in convective cells within the cyclone’s core. Indeed, most of the satellite precipitation products studied in this work showed a misplacement of the highest amounts of associated rainfall, a significant underestimation of the event, and large unbiased root mean square error in the areas of heavy precipitation. The total precipitation field from IMERG Late Run and CMORPH showed the smallest bias (but significant) and good temporal correlation against rain gauges and ERA5-Land reanalysis data as a reference, while IMERG Final Run and GSMaP showed the largest underestimation and overestimation, respectively. Further investigation is needed to improve the representation of extreme precipitation events associated with tropical-like cyclones in satellite precipitation products. |
| format | Article |
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| institution | Kabale University |
| issn | 2072-4292 |
| language | English |
| publishDate | 2024-11-01 |
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| series | Remote Sensing |
| spelling | doaj-art-9ea9e7232bff442cbbcc7695ce7d55cf2024-11-26T18:20:02ZengMDPI AGRemote Sensing2072-42922024-11-011622421610.3390/rs16224216Performance Evaluation of Satellite Precipitation Products During Extreme Events—The Case of the Medicane Daniel in Thessaly, GreeceDimitrios Katsanos0Adrianos Retalis1John Kalogiros2Basil E. Psiloglou3Nikolaos Roukounakis4Marios Anagnostou5Institute for Environmental Research and Sustainable Development, National Observatory of Athens, 15236 Athens, GreeceInstitute for Environmental Research and Sustainable Development, National Observatory of Athens, 15236 Athens, GreeceInstitute for Environmental Research and Sustainable Development, National Observatory of Athens, 15236 Athens, GreeceInstitute for Environmental Research and Sustainable Development, National Observatory of Athens, 15236 Athens, GreeceInstitute for Environmental Research and Sustainable Development, National Observatory of Athens, 15236 Athens, GreeceDepartment of Informatics, Ionian University, Tsirigoti Square 7, 49100 Corfu, GreeceMediterranean tropical-like cyclones, or Medicanes, present unique challenges for precipitation estimations due to their rapid development and localized impacts. This study evaluates the performance of satellite precipitation products in capturing the precipitation associated with Medicane Daniel that struck Greece in early September 2023. Utilizing a combination of ground-based observations, reanalysis, and satellite-derived precipitation data, we assess the accuracy and spatial distribution of the satellite precipitation products GPM IMERG, GSMaP, and CMOPRH during the cyclone event, which formed in the Eastern Mediterranean from 4 to 7 September 2023, hitting with unprecedented, enormous amounts of rainfall, especially in the region of Thessaly in central Greece. The results indicate that, while satellite precipitation products demonstrate overall skill in capturing the broad-scale precipitation patterns associated with Medicane Daniel, discrepancies exist in estimating localized intense rainfall rates, particularly in convective cells within the cyclone’s core. Indeed, most of the satellite precipitation products studied in this work showed a misplacement of the highest amounts of associated rainfall, a significant underestimation of the event, and large unbiased root mean square error in the areas of heavy precipitation. The total precipitation field from IMERG Late Run and CMORPH showed the smallest bias (but significant) and good temporal correlation against rain gauges and ERA5-Land reanalysis data as a reference, while IMERG Final Run and GSMaP showed the largest underestimation and overestimation, respectively. Further investigation is needed to improve the representation of extreme precipitation events associated with tropical-like cyclones in satellite precipitation products.https://www.mdpi.com/2072-4292/16/22/4216Medicane Danielextreme rainfallsatellite precipitation productsweather radarrain-gauges |
| spellingShingle | Dimitrios Katsanos Adrianos Retalis John Kalogiros Basil E. Psiloglou Nikolaos Roukounakis Marios Anagnostou Performance Evaluation of Satellite Precipitation Products During Extreme Events—The Case of the Medicane Daniel in Thessaly, Greece Remote Sensing Medicane Daniel extreme rainfall satellite precipitation products weather radar rain-gauges |
| title | Performance Evaluation of Satellite Precipitation Products During Extreme Events—The Case of the Medicane Daniel in Thessaly, Greece |
| title_full | Performance Evaluation of Satellite Precipitation Products During Extreme Events—The Case of the Medicane Daniel in Thessaly, Greece |
| title_fullStr | Performance Evaluation of Satellite Precipitation Products During Extreme Events—The Case of the Medicane Daniel in Thessaly, Greece |
| title_full_unstemmed | Performance Evaluation of Satellite Precipitation Products During Extreme Events—The Case of the Medicane Daniel in Thessaly, Greece |
| title_short | Performance Evaluation of Satellite Precipitation Products During Extreme Events—The Case of the Medicane Daniel in Thessaly, Greece |
| title_sort | performance evaluation of satellite precipitation products during extreme events the case of the medicane daniel in thessaly greece |
| topic | Medicane Daniel extreme rainfall satellite precipitation products weather radar rain-gauges |
| url | https://www.mdpi.com/2072-4292/16/22/4216 |
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