Disentangling Satellite Precipitation Estimate Errors of Heavy Rainfall at the Daily and Sub-Daily Scales in the Western Mediterranean
In the last decade, substantial improvements have been achieved in quantitative satellite precipitation estimates, which are essential for a wide range of applications. In this study, we evaluated the performance of Integrated Multi-satellitE Retrievals for GPM (IMERG V06B) at the sub-daily and dail...
| Main Authors: | , , , |
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| Format: | Article |
| Language: | English |
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MDPI AG
2024-01-01
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| Series: | Remote Sensing |
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| Online Access: | https://www.mdpi.com/2072-4292/16/3/457 |
| _version_ | 1797318252069650432 |
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| author | Eric Peinó Joan Bech Mireia Udina Francesc Polls |
| author_facet | Eric Peinó Joan Bech Mireia Udina Francesc Polls |
| author_sort | Eric Peinó |
| collection | DOAJ |
| description | In the last decade, substantial improvements have been achieved in quantitative satellite precipitation estimates, which are essential for a wide range of applications. In this study, we evaluated the performance of Integrated Multi-satellitE Retrievals for GPM (IMERG V06B) at the sub-daily and daily scales. Ten years of half-hourly precipitation records aggregated at different sub-daily periods were evaluated over a region in the Western Mediterranean. The analysis at the half-hourly scale examined the contribution of passive microwave (PMW) and infrared (IR) sources in IMERG estimates, as well as the relationship between various microphysical cloud properties using Cloud Microphysics (CMIC–NWC SAF) data. The results show the following: (1) a marked tendency to underestimate precipitation compared to rain gauges which increases with rainfall intensity and temporal resolution, (2) a weaker negative bias for retrievals with PMW data, (3) an increased bias when filling PMW gaps by including IR information, and (4) an improved performance in the presence of precipitating ice clouds compared to warm and mixed-phase clouds. This work contributes to the understanding of the factors affecting satellite estimates of extreme precipitation. Their relationship with the microphysical characteristics of clouds generates added value for further downstream applications and users’ decision making. |
| first_indexed | 2024-03-08T03:49:45Z |
| format | Article |
| id | doaj.art-5996761556ad46b993f8e3653099e41a |
| institution | Directory Open Access Journal |
| issn | 2072-4292 |
| language | English |
| last_indexed | 2024-03-08T03:49:45Z |
| publishDate | 2024-01-01 |
| publisher | MDPI AG |
| record_format | Article |
| series | Remote Sensing |
| spelling | doaj.art-5996761556ad46b993f8e3653099e41a2024-02-09T15:21:10ZengMDPI AGRemote Sensing2072-42922024-01-0116345710.3390/rs16030457Disentangling Satellite Precipitation Estimate Errors of Heavy Rainfall at the Daily and Sub-Daily Scales in the Western MediterraneanEric Peinó0Joan Bech1Mireia Udina2Francesc Polls3Department Applied Physics—Meteorology, Universitat de Barcelona, 08028 Barcelona, SpainDepartment Applied Physics—Meteorology, Universitat de Barcelona, 08028 Barcelona, SpainDepartment Applied Physics—Meteorology, Universitat de Barcelona, 08028 Barcelona, SpainDepartment Applied Physics—Meteorology, Universitat de Barcelona, 08028 Barcelona, SpainIn the last decade, substantial improvements have been achieved in quantitative satellite precipitation estimates, which are essential for a wide range of applications. In this study, we evaluated the performance of Integrated Multi-satellitE Retrievals for GPM (IMERG V06B) at the sub-daily and daily scales. Ten years of half-hourly precipitation records aggregated at different sub-daily periods were evaluated over a region in the Western Mediterranean. The analysis at the half-hourly scale examined the contribution of passive microwave (PMW) and infrared (IR) sources in IMERG estimates, as well as the relationship between various microphysical cloud properties using Cloud Microphysics (CMIC–NWC SAF) data. The results show the following: (1) a marked tendency to underestimate precipitation compared to rain gauges which increases with rainfall intensity and temporal resolution, (2) a weaker negative bias for retrievals with PMW data, (3) an increased bias when filling PMW gaps by including IR information, and (4) an improved performance in the presence of precipitating ice clouds compared to warm and mixed-phase clouds. This work contributes to the understanding of the factors affecting satellite estimates of extreme precipitation. Their relationship with the microphysical characteristics of clouds generates added value for further downstream applications and users’ decision making.https://www.mdpi.com/2072-4292/16/3/457GPM IMERGextreme precipitationcloud microphysicsNWC SAFPMW sources |
| spellingShingle | Eric Peinó Joan Bech Mireia Udina Francesc Polls Disentangling Satellite Precipitation Estimate Errors of Heavy Rainfall at the Daily and Sub-Daily Scales in the Western Mediterranean Remote Sensing GPM IMERG extreme precipitation cloud microphysics NWC SAF PMW sources |
| title | Disentangling Satellite Precipitation Estimate Errors of Heavy Rainfall at the Daily and Sub-Daily Scales in the Western Mediterranean |
| title_full | Disentangling Satellite Precipitation Estimate Errors of Heavy Rainfall at the Daily and Sub-Daily Scales in the Western Mediterranean |
| title_fullStr | Disentangling Satellite Precipitation Estimate Errors of Heavy Rainfall at the Daily and Sub-Daily Scales in the Western Mediterranean |
| title_full_unstemmed | Disentangling Satellite Precipitation Estimate Errors of Heavy Rainfall at the Daily and Sub-Daily Scales in the Western Mediterranean |
| title_short | Disentangling Satellite Precipitation Estimate Errors of Heavy Rainfall at the Daily and Sub-Daily Scales in the Western Mediterranean |
| title_sort | disentangling satellite precipitation estimate errors of heavy rainfall at the daily and sub daily scales in the western mediterranean |
| topic | GPM IMERG extreme precipitation cloud microphysics NWC SAF PMW sources |
| url | https://www.mdpi.com/2072-4292/16/3/457 |
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