Evaluation of high-resolution satellite precipitation estimates over southern South America using a dense rain gauge network
Six different satellite rainfall estimates are evaluated for a 24-hour accumulation period at 12 UTC with a 0.25. degree resolution. The rain gauge data are obtained from a dense inter-institutional station network for December 1, 2008 to November 30, 2010 over South America. The evaluated satellite...
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| Acceso en línea: | https://bibliotecadigital.exactas.uba.ar/collection/paper/document/paper_01698095_v163_n_p146_Salio http://hdl.handle.net/20.500.12110/paper_01698095_v163_n_p146_Salio |
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paper:paper_01698095_v163_n_p146_Salio2023-06-08T15:18:32Z Evaluation of high-resolution satellite precipitation estimates over southern South America using a dense rain gauge network Salio, Paola Veronica García Skabar, Yanina Multisensor quantitative precipitacion estimates Precipitation South America Validation Gages Infrared imaging Precipitation (chemical) Rain gages Satellites Soil moisture Accumulation periods Microwave observations Multi sensor Satellite precipitation estimates South America Southern south america Tropical rainfall measuring missions Validation Rain Six different satellite rainfall estimates are evaluated for a 24-hour accumulation period at 12 UTC with a 0.25. degree resolution. The rain gauge data are obtained from a dense inter-institutional station network for December 1, 2008 to November 30, 2010 over South America. The evaluated satellite rainfall products are the Tropical Rainfall Measuring Mission 3B42 V6, V7 and RT, the NOAA/Climate Prediction Center Morphing technique (CMORPH), Hydroestimator (HYDRO) and the Combined Scheme algorithm (CoSch). The validation and intercomparison of these products are focused on southern South America. The performance improves in the "blended" estimates by including microwave observations and surface observations in the adjustments, i.e., 3B42 V6, V7 and CoSch; however, large overestimations are detectable in CMORPH, principally for extreme values over plains areas. The estimates based on parameters associated with infrared images only (HYDRO) underestimate precipitation south of 20° S and tend to overestimate the warm precipitation to the north. The inclusion of observed precipitation data is convenient from monthly (3B42 V7 and V6) to daily scales (CoSch) and improves the estimates. The estimates that include microwave observations show a strong tendency to overestimate extreme values of precipitation over 70. mm. This effect is strongly evident in northern and central Argentina and southern Brazil. A deeper assessment is necessary, particularly over the Central Andes, where effects of topography principally associated with solid precipitation correspond to the persistence of majorly overestimated precipitation. © 2014 Elsevier B.V. Fil:Salio, P. Universidad de Buenos Aires. Facultad de Ciencias Exactas y Naturales; Argentina. Fil:García Skabar, Y. Universidad de Buenos Aires. Facultad de Ciencias Exactas y Naturales; Argentina. 2015 https://bibliotecadigital.exactas.uba.ar/collection/paper/document/paper_01698095_v163_n_p146_Salio http://hdl.handle.net/20.500.12110/paper_01698095_v163_n_p146_Salio |
| institution |
Universidad de Buenos Aires |
| institution_str |
I-28 |
| repository_str |
R-134 |
| collection |
Biblioteca Digital - Facultad de Ciencias Exactas y Naturales (UBA) |
| topic |
Multisensor quantitative precipitacion estimates Precipitation South America Validation Gages Infrared imaging Precipitation (chemical) Rain gages Satellites Soil moisture Accumulation periods Microwave observations Multi sensor Satellite precipitation estimates South America Southern south america Tropical rainfall measuring missions Validation Rain |
| spellingShingle |
Multisensor quantitative precipitacion estimates Precipitation South America Validation Gages Infrared imaging Precipitation (chemical) Rain gages Satellites Soil moisture Accumulation periods Microwave observations Multi sensor Satellite precipitation estimates South America Southern south america Tropical rainfall measuring missions Validation Rain Salio, Paola Veronica García Skabar, Yanina Evaluation of high-resolution satellite precipitation estimates over southern South America using a dense rain gauge network |
| topic_facet |
Multisensor quantitative precipitacion estimates Precipitation South America Validation Gages Infrared imaging Precipitation (chemical) Rain gages Satellites Soil moisture Accumulation periods Microwave observations Multi sensor Satellite precipitation estimates South America Southern south america Tropical rainfall measuring missions Validation Rain |
| description |
Six different satellite rainfall estimates are evaluated for a 24-hour accumulation period at 12 UTC with a 0.25. degree resolution. The rain gauge data are obtained from a dense inter-institutional station network for December 1, 2008 to November 30, 2010 over South America. The evaluated satellite rainfall products are the Tropical Rainfall Measuring Mission 3B42 V6, V7 and RT, the NOAA/Climate Prediction Center Morphing technique (CMORPH), Hydroestimator (HYDRO) and the Combined Scheme algorithm (CoSch). The validation and intercomparison of these products are focused on southern South America. The performance improves in the "blended" estimates by including microwave observations and surface observations in the adjustments, i.e., 3B42 V6, V7 and CoSch; however, large overestimations are detectable in CMORPH, principally for extreme values over plains areas. The estimates based on parameters associated with infrared images only (HYDRO) underestimate precipitation south of 20° S and tend to overestimate the warm precipitation to the north. The inclusion of observed precipitation data is convenient from monthly (3B42 V7 and V6) to daily scales (CoSch) and improves the estimates. The estimates that include microwave observations show a strong tendency to overestimate extreme values of precipitation over 70. mm. This effect is strongly evident in northern and central Argentina and southern Brazil. A deeper assessment is necessary, particularly over the Central Andes, where effects of topography principally associated with solid precipitation correspond to the persistence of majorly overestimated precipitation. © 2014 Elsevier B.V. |
| author |
Salio, Paola Veronica García Skabar, Yanina |
| author_facet |
Salio, Paola Veronica García Skabar, Yanina |
| author_sort |
Salio, Paola Veronica |
| title |
Evaluation of high-resolution satellite precipitation estimates over southern South America using a dense rain gauge network |
| title_short |
Evaluation of high-resolution satellite precipitation estimates over southern South America using a dense rain gauge network |
| title_full |
Evaluation of high-resolution satellite precipitation estimates over southern South America using a dense rain gauge network |
| title_fullStr |
Evaluation of high-resolution satellite precipitation estimates over southern South America using a dense rain gauge network |
| title_full_unstemmed |
Evaluation of high-resolution satellite precipitation estimates over southern South America using a dense rain gauge network |
| title_sort |
evaluation of high-resolution satellite precipitation estimates over southern south america using a dense rain gauge network |
| publishDate |
2015 |
| url |
https://bibliotecadigital.exactas.uba.ar/collection/paper/document/paper_01698095_v163_n_p146_Salio http://hdl.handle.net/20.500.12110/paper_01698095_v163_n_p146_Salio |
| work_keys_str_mv |
AT saliopaolaveronica evaluationofhighresolutionsatelliteprecipitationestimatesoversouthernsouthamericausingadenseraingaugenetwork AT garciaskabaryanina evaluationofhighresolutionsatelliteprecipitationestimatesoversouthernsouthamericausingadenseraingaugenetwork |
| _version_ |
1768542501042388992 |