Rainfall in the Greater and Lesser Antilles: Performance of five gridded datasets on a daily timescale
Study region: The studied region is the Greater Antilles (Cuba, Hispaniola, Jamaica and Puerto Rico) and the Lesser Antilles (Southern part of the Caribbean arc). Study focus: The performance of MSWEP, CHIRPS, PERSIANN-CDR, ERA-5 and GPM IMERG were evaluated to highlight their qualities and shortcom...
| Main Authors: | , , , |
|---|---|
| Format: | Article |
| Language: | English |
| Published: |
Elsevier
2022-10-01
|
| Series: | Journal of Hydrology: Regional Studies |
| Subjects: | |
| Online Access: | http://www.sciencedirect.com/science/article/pii/S2214581822002166 |
| _version_ | 1828419238999621632 |
|---|---|
| author | Ralph Bathelemy Pierre Brigode Dominique Boisson Emmanuel Tric |
| author_facet | Ralph Bathelemy Pierre Brigode Dominique Boisson Emmanuel Tric |
| author_sort | Ralph Bathelemy |
| collection | DOAJ |
| description | Study region: The studied region is the Greater Antilles (Cuba, Hispaniola, Jamaica and Puerto Rico) and the Lesser Antilles (Southern part of the Caribbean arc). Study focus: The performance of MSWEP, CHIRPS, PERSIANN-CDR, ERA-5 and GPM IMERG were evaluated to highlight their qualities and shortcomings and to guide researchers in the choice of these rainfall datasets to use for hydro-meteorological applications in this study area. Five quantitative (RMSE, KGE and his three components) and three qualitative (POD, FAR and CSI) statistical metrics are used to evaluate the amount and detection capacity of the rainfall datasets. Heavy rainfall percentiles are calculated to assess the ability of rainfall datasets to estimate rare and extreme rainfall. New hydrological insights for the region: MSWEP performs well for most statistical metrics and is recommended for most hydro-meteorological research. CHIRPS and PERSIANN-CDR performs well in estimating the annual rainfall seasonality and are recommended for research on water resources management (irrigation, energy production, etc.). CHIRPS also performs well in estimating heavy rainfall percentiles and is also recommended for statistical research of heavy rainfall events. ERA-5 and GPM IMERG have a good ability to capture wet and dry days and is recommended for determination of climatic research or atmospheric sciences applications. However, bias reduction methods for these rainfall gridded datasets are advised before applications due to their low KGE and high RMSE. |
| first_indexed | 2024-12-10T14:50:41Z |
| format | Article |
| id | doaj.art-929979aa2d5c47ac861165fabea52e0b |
| institution | Directory Open Access Journal |
| issn | 2214-5818 |
| language | English |
| last_indexed | 2024-12-10T14:50:41Z |
| publishDate | 2022-10-01 |
| publisher | Elsevier |
| record_format | Article |
| series | Journal of Hydrology: Regional Studies |
| spelling | doaj.art-929979aa2d5c47ac861165fabea52e0b2022-12-22T01:44:27ZengElsevierJournal of Hydrology: Regional Studies2214-58182022-10-0143101203Rainfall in the Greater and Lesser Antilles: Performance of five gridded datasets on a daily timescaleRalph Bathelemy0Pierre Brigode1Dominique Boisson2Emmanuel Tric3Université Côte d′Azur, Observatoire de la Côte d′Azur, CNRS, IRD, Géoazur, France; Université d′Etat d′Haïti, Faculté des Sciences, LMI CARIBACT, URGéo, Haiti; Corresponding author at: Université Côte d′Azur, Observatoire de la Côte d′Azur, CNRS, IRD, Géoazur, France.Université Côte d′Azur, Observatoire de la Côte d′Azur, CNRS, IRD, Géoazur, FranceUniversité d′Etat d′Haïti, Faculté des Sciences, LMI CARIBACT, URGéo, HaitiUniversité Côte d′Azur, Observatoire de la Côte d′Azur, CNRS, IRD, Géoazur, FranceStudy region: The studied region is the Greater Antilles (Cuba, Hispaniola, Jamaica and Puerto Rico) and the Lesser Antilles (Southern part of the Caribbean arc). Study focus: The performance of MSWEP, CHIRPS, PERSIANN-CDR, ERA-5 and GPM IMERG were evaluated to highlight their qualities and shortcomings and to guide researchers in the choice of these rainfall datasets to use for hydro-meteorological applications in this study area. Five quantitative (RMSE, KGE and his three components) and three qualitative (POD, FAR and CSI) statistical metrics are used to evaluate the amount and detection capacity of the rainfall datasets. Heavy rainfall percentiles are calculated to assess the ability of rainfall datasets to estimate rare and extreme rainfall. New hydrological insights for the region: MSWEP performs well for most statistical metrics and is recommended for most hydro-meteorological research. CHIRPS and PERSIANN-CDR performs well in estimating the annual rainfall seasonality and are recommended for research on water resources management (irrigation, energy production, etc.). CHIRPS also performs well in estimating heavy rainfall percentiles and is also recommended for statistical research of heavy rainfall events. ERA-5 and GPM IMERG have a good ability to capture wet and dry days and is recommended for determination of climatic research or atmospheric sciences applications. However, bias reduction methods for these rainfall gridded datasets are advised before applications due to their low KGE and high RMSE.http://www.sciencedirect.com/science/article/pii/S2214581822002166Satellite rainfallCaribbean regionHaitiKGEHeavy rainfallSeasonality rainfall |
| spellingShingle | Ralph Bathelemy Pierre Brigode Dominique Boisson Emmanuel Tric Rainfall in the Greater and Lesser Antilles: Performance of five gridded datasets on a daily timescale Journal of Hydrology: Regional Studies Satellite rainfall Caribbean region Haiti KGE Heavy rainfall Seasonality rainfall |
| title | Rainfall in the Greater and Lesser Antilles: Performance of five gridded datasets on a daily timescale |
| title_full | Rainfall in the Greater and Lesser Antilles: Performance of five gridded datasets on a daily timescale |
| title_fullStr | Rainfall in the Greater and Lesser Antilles: Performance of five gridded datasets on a daily timescale |
| title_full_unstemmed | Rainfall in the Greater and Lesser Antilles: Performance of five gridded datasets on a daily timescale |
| title_short | Rainfall in the Greater and Lesser Antilles: Performance of five gridded datasets on a daily timescale |
| title_sort | rainfall in the greater and lesser antilles performance of five gridded datasets on a daily timescale |
| topic | Satellite rainfall Caribbean region Haiti KGE Heavy rainfall Seasonality rainfall |
| url | http://www.sciencedirect.com/science/article/pii/S2214581822002166 |
| work_keys_str_mv | AT ralphbathelemy rainfallinthegreaterandlesserantillesperformanceoffivegriddeddatasetsonadailytimescale AT pierrebrigode rainfallinthegreaterandlesserantillesperformanceoffivegriddeddatasetsonadailytimescale AT dominiqueboisson rainfallinthegreaterandlesserantillesperformanceoffivegriddeddatasetsonadailytimescale AT emmanueltric rainfallinthegreaterandlesserantillesperformanceoffivegriddeddatasetsonadailytimescale |