From TRMM to GPM: How Reliable Are Satellite-Based Precipitation Data across Nigeria?
In this study, 16 satellite-based precipitation products (SPPs) comprising satellite, gauge and reanalysis datasets were assessed on a monthly time step using precipitation data from 11 gauge stations across Nigeria within the 2000–2012 period as reference. Despite the ability of some of the SPPs to...
| Main Authors: | , , , , |
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| Format: | Article |
| Language: | English |
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MDPI AG
2020-12-01
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| Series: | Remote Sensing |
| Subjects: | |
| Online Access: | https://www.mdpi.com/2072-4292/12/23/3964 |
| _version_ | 1797545758440816640 |
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| author | Pius Nnamdi Nwachukwu Frederic Satge Samira El Yacoubi Sebastien Pinel Marie-Paule Bonnet |
| author_facet | Pius Nnamdi Nwachukwu Frederic Satge Samira El Yacoubi Sebastien Pinel Marie-Paule Bonnet |
| author_sort | Pius Nnamdi Nwachukwu |
| collection | DOAJ |
| description | In this study, 16 satellite-based precipitation products (SPPs) comprising satellite, gauge and reanalysis datasets were assessed on a monthly time step using precipitation data from 11 gauge stations across Nigeria within the 2000–2012 period as reference. Despite the ability of some of the SPPs to reproduce the salient north–south pattern of the annual rainfall field, the Kling–Gupta efficiency (KGE) results revealed substantial discrepancies among the SPP estimates. Generally, the SPP reliability varies spatially and temporally, with all SPPs performing better over part of central Nigeria during the dry season. When we compared the real-time and adjusted satellite-based products, the results showed that the adjusted products had a better KGE score. The assessment also showed that the reliability of integrated multi-satellite retrievals for Global Precipitation Mission (IMERG) products was consistent with that of their predecessor Tropical Rainfall Measuring Mission (TRMM) multi-satellite precipitation analysis (TMPA). Finally, the best overall scores were obtained from multi-source weighted-ensemble precipitation (MSWEP) v.2.2 and IMERG-F v.6. Both products are therefore suggested for further hydrological studies. |
| first_indexed | 2024-03-10T14:20:31Z |
| format | Article |
| id | doaj.art-79167522ea8845d1bf305980a297dc9d |
| institution | Directory Open Access Journal |
| issn | 2072-4292 |
| language | English |
| last_indexed | 2024-03-10T14:20:31Z |
| publishDate | 2020-12-01 |
| publisher | MDPI AG |
| record_format | Article |
| series | Remote Sensing |
| spelling | doaj.art-79167522ea8845d1bf305980a297dc9d2023-11-20T23:25:52ZengMDPI AGRemote Sensing2072-42922020-12-011223396410.3390/rs12233964From TRMM to GPM: How Reliable Are Satellite-Based Precipitation Data across Nigeria?Pius Nnamdi Nwachukwu0Frederic Satge1Samira El Yacoubi2Sebastien Pinel3Marie-Paule Bonnet4 IMAGES-ESPACE-DEV, Faculty of Exact and Experimental Sciences, University of Perpignan Via Domitia, 52 Avenue Paul Alduy, CEDEX 9, 66860 Perpignan, FranceEspace_DEV, IRD, University of Montpellier, 34093 Montpellier, France IMAGES-ESPACE-DEV, Faculty of Exact and Experimental Sciences, University of Perpignan Via Domitia, 52 Avenue Paul Alduy, CEDEX 9, 66860 Perpignan, FranceCentre of Education and Research on Mediterranean Environments (CEFREM), University of Perpignan, 52 Avenue Paul Alduy, CEDEX 9, 66860 Perpignan, FranceEspace_DEV, IRD, University of Montpellier, 34093 Montpellier, FranceIn this study, 16 satellite-based precipitation products (SPPs) comprising satellite, gauge and reanalysis datasets were assessed on a monthly time step using precipitation data from 11 gauge stations across Nigeria within the 2000–2012 period as reference. Despite the ability of some of the SPPs to reproduce the salient north–south pattern of the annual rainfall field, the Kling–Gupta efficiency (KGE) results revealed substantial discrepancies among the SPP estimates. Generally, the SPP reliability varies spatially and temporally, with all SPPs performing better over part of central Nigeria during the dry season. When we compared the real-time and adjusted satellite-based products, the results showed that the adjusted products had a better KGE score. The assessment also showed that the reliability of integrated multi-satellite retrievals for Global Precipitation Mission (IMERG) products was consistent with that of their predecessor Tropical Rainfall Measuring Mission (TRMM) multi-satellite precipitation analysis (TMPA). Finally, the best overall scores were obtained from multi-source weighted-ensemble precipitation (MSWEP) v.2.2 and IMERG-F v.6. Both products are therefore suggested for further hydrological studies.https://www.mdpi.com/2072-4292/12/23/3964satellite precipitationgaugevalidationNigeria |
| spellingShingle | Pius Nnamdi Nwachukwu Frederic Satge Samira El Yacoubi Sebastien Pinel Marie-Paule Bonnet From TRMM to GPM: How Reliable Are Satellite-Based Precipitation Data across Nigeria? Remote Sensing satellite precipitation gauge validation Nigeria |
| title | From TRMM to GPM: How Reliable Are Satellite-Based Precipitation Data across Nigeria? |
| title_full | From TRMM to GPM: How Reliable Are Satellite-Based Precipitation Data across Nigeria? |
| title_fullStr | From TRMM to GPM: How Reliable Are Satellite-Based Precipitation Data across Nigeria? |
| title_full_unstemmed | From TRMM to GPM: How Reliable Are Satellite-Based Precipitation Data across Nigeria? |
| title_short | From TRMM to GPM: How Reliable Are Satellite-Based Precipitation Data across Nigeria? |
| title_sort | from trmm to gpm how reliable are satellite based precipitation data across nigeria |
| topic | satellite precipitation gauge validation Nigeria |
| url | https://www.mdpi.com/2072-4292/12/23/3964 |
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