The Performance of the Diurnal Cycle of Precipitation from Blended Satellite Techniques over Brazil
The knowledge of the diurnal cycle of precipitation is of extreme relevance to understanding the physical/dynamic processes associated with the spatial and temporal distribution of precipitation. The main difficulty of this task is the lack of surface precipitation information over certain regions o...
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| Format: | Article |
| Language: | English |
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MDPI AG
2021-02-01
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| Series: | Remote Sensing |
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| Online Access: | https://www.mdpi.com/2072-4292/13/4/734 |
| _version_ | 1797396230334054400 |
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| author | Ricardo Almeida de Siqueira Daniel Alejandro Vila João Maria de Sousa Afonso |
| author_facet | Ricardo Almeida de Siqueira Daniel Alejandro Vila João Maria de Sousa Afonso |
| author_sort | Ricardo Almeida de Siqueira |
| collection | DOAJ |
| description | The knowledge of the diurnal cycle of precipitation is of extreme relevance to understanding the physical/dynamic processes associated with the spatial and temporal distribution of precipitation. The main difficulty of this task is the lack of surface precipitation information over certain regions on an hourly time scale and the low spatial representativeness of these data (normally surface gauges). In order to overcome these difficulties, the main objective of this study is to create a 3-h precipitation accumulation database from the gauge-adjusted daily regional precipitation products to resolve the diurnal cycle properly. This study also proposes to evaluate different methodologies for partitioning gauge-adjusted daily precipitation products, i.e., a product made by the combination of satellite estimates and surface gauge observations, into 3-h precipitation accumulation. Two methodologies based on the calculation of a conversion factor <i>F</i> between a daily gauge-adjusted product, combined scheme (CoSch, hereafter), and a non-gauge-adjusted one, the integrated multi-satellite retrievals for GPM (IMERG)-Early (IMERG, hereafter) were tested for this research. Hourly rain gauge stations for the period of 2015–2018 over Brazil were used to assess the performance of the proposed methodologies over the whole region and five sub-regions with homogeneous precipitation regimes. Standard statistical metrics and categorical indices related with the capability to detect rainfall events were used to compare the ability of each product to represent the diurnal cycle. The results show that the new 3-h CoSch products show better agreement with rainfall gauge stations when compared with IMERG, better capturing the diurnal cycle of precipitation. The biggest improvement was over northeastern region close to the coast, where IMERG was not able to capture the diurnal cycle properly. One of the proposed methodologies (CoSchB) performed better on the critical success index and equitable threat score metrics, suggesting that this is the best product over the two. The downside, when compared with the other methodology (CoSchA), was a slight increase in the values of bias and mean absolute error, but still at acceptable levels. |
| first_indexed | 2024-03-09T00:48:21Z |
| format | Article |
| id | doaj.art-25483399554044e984de889346623a19 |
| institution | Directory Open Access Journal |
| issn | 2072-4292 |
| language | English |
| last_indexed | 2024-03-09T00:48:21Z |
| publishDate | 2021-02-01 |
| publisher | MDPI AG |
| record_format | Article |
| series | Remote Sensing |
| spelling | doaj.art-25483399554044e984de889346623a192023-12-11T17:23:00ZengMDPI AGRemote Sensing2072-42922021-02-0113473410.3390/rs13040734The Performance of the Diurnal Cycle of Precipitation from Blended Satellite Techniques over BrazilRicardo Almeida de Siqueira0Daniel Alejandro Vila1João Maria de Sousa Afonso2National Institute for Space Research (INPE), São José dos Campos 12227-010, BrazilNational Institute for Space Research (INPE), São José dos Campos 12227-010, BrazilNational Institute for Space Research (INPE), São José dos Campos 12227-010, BrazilThe knowledge of the diurnal cycle of precipitation is of extreme relevance to understanding the physical/dynamic processes associated with the spatial and temporal distribution of precipitation. The main difficulty of this task is the lack of surface precipitation information over certain regions on an hourly time scale and the low spatial representativeness of these data (normally surface gauges). In order to overcome these difficulties, the main objective of this study is to create a 3-h precipitation accumulation database from the gauge-adjusted daily regional precipitation products to resolve the diurnal cycle properly. This study also proposes to evaluate different methodologies for partitioning gauge-adjusted daily precipitation products, i.e., a product made by the combination of satellite estimates and surface gauge observations, into 3-h precipitation accumulation. Two methodologies based on the calculation of a conversion factor <i>F</i> between a daily gauge-adjusted product, combined scheme (CoSch, hereafter), and a non-gauge-adjusted one, the integrated multi-satellite retrievals for GPM (IMERG)-Early (IMERG, hereafter) were tested for this research. Hourly rain gauge stations for the period of 2015–2018 over Brazil were used to assess the performance of the proposed methodologies over the whole region and five sub-regions with homogeneous precipitation regimes. Standard statistical metrics and categorical indices related with the capability to detect rainfall events were used to compare the ability of each product to represent the diurnal cycle. The results show that the new 3-h CoSch products show better agreement with rainfall gauge stations when compared with IMERG, better capturing the diurnal cycle of precipitation. The biggest improvement was over northeastern region close to the coast, where IMERG was not able to capture the diurnal cycle properly. One of the proposed methodologies (CoSchB) performed better on the critical success index and equitable threat score metrics, suggesting that this is the best product over the two. The downside, when compared with the other methodology (CoSchA), was a slight increase in the values of bias and mean absolute error, but still at acceptable levels.https://www.mdpi.com/2072-4292/13/4/734rainfall estimatessatellitegauges3-h precipitationdiurnal cycle |
| spellingShingle | Ricardo Almeida de Siqueira Daniel Alejandro Vila João Maria de Sousa Afonso The Performance of the Diurnal Cycle of Precipitation from Blended Satellite Techniques over Brazil Remote Sensing rainfall estimates satellite gauges 3-h precipitation diurnal cycle |
| title | The Performance of the Diurnal Cycle of Precipitation from Blended Satellite Techniques over Brazil |
| title_full | The Performance of the Diurnal Cycle of Precipitation from Blended Satellite Techniques over Brazil |
| title_fullStr | The Performance of the Diurnal Cycle of Precipitation from Blended Satellite Techniques over Brazil |
| title_full_unstemmed | The Performance of the Diurnal Cycle of Precipitation from Blended Satellite Techniques over Brazil |
| title_short | The Performance of the Diurnal Cycle of Precipitation from Blended Satellite Techniques over Brazil |
| title_sort | performance of the diurnal cycle of precipitation from blended satellite techniques over brazil |
| topic | rainfall estimates satellite gauges 3-h precipitation diurnal cycle |
| url | https://www.mdpi.com/2072-4292/13/4/734 |
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