Seasonal effect on spatial and temporal consistency of the new GPM-based IMERG-v5 and GSMaP-v7 satellite precipitation estimates in Brazil’s Central Plateau Region
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| 1. Verfasser: | |
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| Publikationsdatum: | 2019 |
| Weitere Verfasser: | , , , , |
| Format: | Article |
| Sprache: | eng |
| Quelle: | Repositório Institucional da UnB |
| Download full: | https://repositorio.unb.br/handle/10482/36921 https://doi.org/10.3390/w11040668 https://orcid.org/0000-0002-6056-7055 |
Zusammenfassung: | This study assesses the performance of the new Global Precipitation Measurement (GPM)-based satellite precipitation estimates (SPEs) datasets in the Brazilian Central Plateau and compares it with the previous Tropical Rainfall Measurement Mission (TRMM)-era datasets. To do so, the Integrated Multi-satellitE Retrievals for GPM (IMERG)-v5 and the Global Satellite Mapping of Precipitation (GSMaP)-v7 were evaluated at their original 0.1 spatial resolution and for a 0.25 grid for comparison with TRMM Multi-satellite Precipitation Analysis (TMPA). The assessment was made on an annual, monthly, and daily basis for both wet and dry seasons. Overall, IMERG presents the best annual and monthly results. In both time steps, IMERG’s precipitation estimations present bias with lower magnitudes and smaller root-mean-square error. However, GSMaP performs slightly better for the daily time step based on categorical and quantitative statistical analysis. Both IMERG and GSMaP estimates are seasonally influenced, with the highest difficulty in estimating precipitation occurring during the dry season. Additionally, the study indicates that GPM-based SPEs products are capable of continuing TRMM-based precipitation monitoring with similar or even better accuracy than obtained previously with the widely used TMPA product. |
| _version_ | 1871442383791456256 |
|---|---|
| author | Salles, Leandro de Almeida |
| author2 | Satgé, Frédéric Roig, Henrique Llacer Almeida, Tati Olivetti, Diogo Ferreira, Welber |
| author2_role | author author author author author |
| author_browse | Almeida, Tati Ferreira, Welber Olivetti, Diogo Roig, Henrique Llacer Salles, Leandro de Almeida Satgé, Frédéric |
| author_facet | Salles, Leandro de Almeida Satgé, Frédéric Roig, Henrique Llacer Almeida, Tati Olivetti, Diogo Ferreira, Welber |
| author_role | author |
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| bitstream.checksumAlgorithm.fl_str_mv | MD5 MD5 |
| bitstream.url.fl_str_mv | http://repositorio2.unb.br/jspui/bitstream/10482/36921/1/ARTIGO_SeasonalEffectSpatial.pdf http://repositorio2.unb.br/jspui/bitstream/10482/36921/2/license.txt |
| collection | Repositório Institucional da UnB |
| dc.contributor.author.fl_str_mv | Salles, Leandro de Almeida Satgé, Frédéric Roig, Henrique Llacer Almeida, Tati Olivetti, Diogo Ferreira, Welber |
| dc.date.accessioned.fl_str_mv | 2020-02-18T12:23:44Z |
| dc.date.available.fl_str_mv | 2020-02-18T12:23:44Z |
| dc.date.issued.fl_str_mv | 2019 |
| dc.identifier.citation.fl_str_mv | SALLES, Leandro et al. Seasonal effect on spatial and temporal consistency of the new GPM-based IMERG-v5 and GSMaP-v7 satellite precipitation estimates in Brazil’s Central Plateau Region. Water, v. 11, n. 4, 668, 2019. DOI: https://doi.org/10.3390/w11040668. Disponível em: https://www.mdpi.com/2073-4441/11/4/668. Acesso em: 18 fev. 2020. |
| dc.identifier.doi.pt_BR.fl_str_mv | https://doi.org/10.3390/w11040668 |
| dc.identifier.orcid.pt_BR.fl_str_mv | https://orcid.org/0000-0002-6056-7055 |
| dc.identifier.uri.fl_str_mv | https://repositorio.unb.br/handle/10482/36921 |
| dc.language.iso.fl_str_mv | eng |
| dc.publisher.none.fl_str_mv | MDPI |
| dc.rights.driver.fl_str_mv | info:eu-repo/semantics/openAccess |
| dc.source.none.fl_str_mv | reponame:Repositório Institucional da UnB instname:Universidade de Brasília (UnB) instacron:UNB |
| dc.subject.keyword.pt_BR.fl_str_mv | Precipitação (Meteorologia) Satélites artificiais Cerrados |
| dc.title.pt_BR.fl_str_mv | Seasonal effect on spatial and temporal consistency of the new GPM-based IMERG-v5 and GSMaP-v7 satellite precipitation estimates in Brazil’s Central Plateau Region |
| dc.type.driver.fl_str_mv | info:eu-repo/semantics/article |
| dc.type.status.fl_str_mv | info:eu-repo/semantics/publishedVersion |
| description | This study assesses the performance of the new Global Precipitation Measurement (GPM)-based satellite precipitation estimates (SPEs) datasets in the Brazilian Central Plateau and compares it with the previous Tropical Rainfall Measurement Mission (TRMM)-era datasets. To do so, the Integrated Multi-satellitE Retrievals for GPM (IMERG)-v5 and the Global Satellite Mapping of Precipitation (GSMaP)-v7 were evaluated at their original 0.1 spatial resolution and for a 0.25 grid for comparison with TRMM Multi-satellite Precipitation Analysis (TMPA). The assessment was made on an annual, monthly, and daily basis for both wet and dry seasons. Overall, IMERG presents the best annual and monthly results. In both time steps, IMERG’s precipitation estimations present bias with lower magnitudes and smaller root-mean-square error. However, GSMaP performs slightly better for the daily time step based on categorical and quantitative statistical analysis. Both IMERG and GSMaP estimates are seasonally influenced, with the highest difficulty in estimating precipitation occurring during the dry season. Additionally, the study indicates that GPM-based SPEs products are capable of continuing TRMM-based precipitation monitoring with similar or even better accuracy than obtained previously with the widely used TMPA product. |
| eu_rights_str_mv | openAccess |
| format | article |
| id | UNB_82d2606c6b34c5257e2cb2b1fd61cdcb |
| identifier_str_mv | SALLES, Leandro et al. Seasonal effect on spatial and temporal consistency of the new GPM-based IMERG-v5 and GSMaP-v7 satellite precipitation estimates in Brazil’s Central Plateau Region. Water, v. 11, n. 4, 668, 2019. DOI: https://doi.org/10.3390/w11040668. Disponível em: https://www.mdpi.com/2073-4441/11/4/668. Acesso em: 18 fev. 2020. |
| instacron_str | UNB |
| institution | UNB |
| instname_str | Universidade de Brasília (UnB) |
| language | eng |
| network_acronym_str | UNB |
| network_name_str | Repositório Institucional da UnB |
| oai_identifier_str | oai:repositorio.unb.br:10482/36921 |
| publishDate | 2019 |
| publishDateSort | 2019 |
| publisher.none.fl_str_mv | MDPI |
| reponame_str | Repositório Institucional da UnB |
| repository.mail.fl_str_mv | repositorio@unb.br |
| repository.name.fl_str_mv | Repositório Institucional da UnB - Universidade de Brasília (UnB) |
| repository_id_str | |
| spelling | Salles, Leandro de AlmeidaSatgé, FrédéricRoig, Henrique LlacerAlmeida, TatiOlivetti, DiogoFerreira, Welber2020-02-18T12:23:44Z2020-02-18T12:23:44Z2019SALLES, Leandro et al. Seasonal effect on spatial and temporal consistency of the new GPM-based IMERG-v5 and GSMaP-v7 satellite precipitation estimates in Brazil’s Central Plateau Region. Water, v. 11, n. 4, 668, 2019. DOI: https://doi.org/10.3390/w11040668. Disponível em: https://www.mdpi.com/2073-4441/11/4/668. Acesso em: 18 fev. 2020.https://repositorio.unb.br/handle/10482/36921https://doi.org/10.3390/w11040668https://orcid.org/0000-0002-6056-7055MDPI© 2019 by the authors. Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (http://creativecommons.org/licenses/by/4.0/).info:eu-repo/semantics/openAccessSeasonal effect on spatial and temporal consistency of the new GPM-based IMERG-v5 and GSMaP-v7 satellite precipitation estimates in Brazil’s Central Plateau Regioninfo:eu-repo/semantics/publishedVersioninfo:eu-repo/semantics/articlePrecipitação (Meteorologia)Satélites artificiaisCerradosThis study assesses the performance of the new Global Precipitation Measurement (GPM)-based satellite precipitation estimates (SPEs) datasets in the Brazilian Central Plateau and compares it with the previous Tropical Rainfall Measurement Mission (TRMM)-era datasets. To do so, the Integrated Multi-satellitE Retrievals for GPM (IMERG)-v5 and the Global Satellite Mapping of Precipitation (GSMaP)-v7 were evaluated at their original 0.1 spatial resolution and for a 0.25 grid for comparison with TRMM Multi-satellite Precipitation Analysis (TMPA). The assessment was made on an annual, monthly, and daily basis for both wet and dry seasons. Overall, IMERG presents the best annual and monthly results. In both time steps, IMERG’s precipitation estimations present bias with lower magnitudes and smaller root-mean-square error. However, GSMaP performs slightly better for the daily time step based on categorical and quantitative statistical analysis. Both IMERG and GSMaP estimates are seasonally influenced, with the highest difficulty in estimating precipitation occurring during the dry season. Additionally, the study indicates that GPM-based SPEs products are capable of continuing TRMM-based precipitation monitoring with similar or even better accuracy than obtained previously with the widely used TMPA product.Instituto de Geociências (IG)engreponame:Repositório Institucional da UnBinstname:Universidade de Brasília (UnB)instacron:UNBORIGINALARTIGO_SeasonalEffectSpatial.pdfARTIGO_SeasonalEffectSpatial.pdfapplication/pdf2523013http://repositorio2.unb.br/jspui/bitstream/10482/36921/1/ARTIGO_SeasonalEffectSpatial.pdfd05f54e3ac13a33731e1b8dd43f6255cMD51open accessLICENSElicense.txtlicense.txttext/plain163http://repositorio2.unb.br/jspui/bitstream/10482/36921/2/license.txtba54f8d1c5f5ec8df897ad678916c701MD52open access10482/369212023-10-06 10:08:24.565open accessoai:repositorio.unb.br:10482/36921U3VibWlzc8OjbyBlZmV0aXZhZGEgcG9yIGludGVncmFudGUgZGEgZXF1aXBlIGRvIFJlcG9zaXTDs3JpbyBJbnN0aXR1Y2lvbmFsIGRhIFVuQiBkZSBhY29yZG8gY29tIGxpY2Vuw6dhIGNvbmNlZGlkYSBwZWxvIGF1dG9yIGUvb3UgZGV0ZW50b3IgZG9zIGRpcmVpdG9zIGF1dG9yYWlzLg==Repositório InstitucionalPUBhttps://repositorio.unb.br/oai/requestrepositorio@unb.bropendoar:2023-10-06T13:08:24Repositório Institucional da UnB - Universidade de Brasília (UnB) |
| spellingShingle | Seasonal effect on spatial and temporal consistency of the new GPM-based IMERG-v5 and GSMaP-v7 satellite precipitation estimates in Brazil’s Central Plateau Region Salles, Leandro de Almeida Precipitação (Meteorologia) Satélites artificiais Cerrados |
| status_str | publishedVersion |
| title | Seasonal effect on spatial and temporal consistency of the new GPM-based IMERG-v5 and GSMaP-v7 satellite precipitation estimates in Brazil’s Central Plateau Region |
| title_full | Seasonal effect on spatial and temporal consistency of the new GPM-based IMERG-v5 and GSMaP-v7 satellite precipitation estimates in Brazil’s Central Plateau Region |
| title_fullStr | Seasonal effect on spatial and temporal consistency of the new GPM-based IMERG-v5 and GSMaP-v7 satellite precipitation estimates in Brazil’s Central Plateau Region |
| title_full_unstemmed | Seasonal effect on spatial and temporal consistency of the new GPM-based IMERG-v5 and GSMaP-v7 satellite precipitation estimates in Brazil’s Central Plateau Region |
| title_short | Seasonal effect on spatial and temporal consistency of the new GPM-based IMERG-v5 and GSMaP-v7 satellite precipitation estimates in Brazil’s Central Plateau Region |
| title_sort | Seasonal effect on spatial and temporal consistency of the new GPM-based IMERG-v5 and GSMaP-v7 satellite precipitation estimates in Brazil’s Central Plateau Region |
| topic | Precipitação (Meteorologia) Satélites artificiais Cerrados |
| url | https://repositorio.unb.br/handle/10482/36921 https://doi.org/10.3390/w11040668 https://orcid.org/0000-0002-6056-7055 |