Global precipitation datasets: implications for the study of extreme rainfall in mountain areas
Global climate datasets are a useful alternative to the spatiotemporal deficiency of gauged records. While the use of such products has widespread, their reliability for detection of extreme rainfall events in complex terrains has large uncertainties. This study evaluates the potential application o...
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| Formato: | Artículo revista |
| Lenguaje: | Español |
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Facultad de Ciencias Exactas y Naturales y Agrimensura
2024
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| Acceso en línea: | https://revistas.unne.edu.ar/index.php/fce/article/view/7735 |
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I48-R154-article-77352024-12-26T15:01:59Z Global precipitation datasets: implications for the study of extreme rainfall in mountain areas Series de precipitación global: implicancias para el estudio de eventos extremos en áreas serranas Casado, Ana Lia Berón de la Puente, Federico Javier Gil, Verónica Precipitación global CPC CHIRPS Eventos de precipitación extrema Sierras australes bonaerenses Global precipitation datasets CPC CHIRPS Extreme rainfall Sierras australes bonaerenses Global climate datasets are a useful alternative to the spatiotemporal deficiency of gauged records. While the use of such products has widespread, their reliability for detection of extreme rainfall events in complex terrains has large uncertainties. This study evaluates the potential application of global daily precipitation datasets for extreme rainfall assessment in the Sierras Australes Bonaerenses (Argentina). Two commonly used products are compared, Global Unified Gauge-Based Analysis of Daily Precipitation (CPC) and Climate Hazards Group InfraRed Precipitation with Stations (CHIRPS). The precipitation indices Rx1d, Rx5d and SDII together with R13 and R25 were selected to explore the series performance relative to the magnitude and frequency of extremes, respectively. Results show low to moderate fit for the five indices, with greater inconsistencies in the intensity and frequency of events. Both magnitude and frequency are underestimated, with errors that increase with the rainfall potential of the stations. Spatial variations in fit and reliability are also evident, and result from the topographic contrast between mountain and extra-mountain sectors. Although CPC yields better results than CHIRPS, it is concluded that neither of both is suitable for assessment of extreme rainfall events and variability in the Sierras Australes Bonaerenses, due to limitations of scale and topography. Los datos climáticos globales son una alternativa muy útil frente a la deficiencia espacio-temporal de registros. Si bien su uso se ha generalizado, existen aún varios interrogantes acerca de la confiabilidad de estos productos para la detección de precipitaciones extremas en terrenos complejos. Este estudio evalúa el potencial de aplicación de series globales de precipitación diaria para el estudio de eventos extremos en las Sierras Australes Bonaerenses (Argentina). Para ello, se comparan las series globales unificadas de precipitación del Centro de Predicción Climática (CPC) y las series de precipitación infrarroja con datos de estación del Grupo de Peligros Climáticos (CHIRPS). Se utilizan los índices Rx1d, Rx5d y SDII junto con R13 y R25 para explorar el ajuste y la confiabilidad de las series en términos de magnitud y frecuencia de extremos, respectivamente. Los resultados muestran un ajuste bajo-moderado para los cinco índices, con mayores inconsistencias en la intensidad y la frecuencia de eventos. Tanto la magnitud como la frecuencia son subestimadas y los errores que se incrementan junto con el potencial pluviométrico de las estaciones. Se evidencian asimismo variaciones espaciales de ajuste y confidencialidad que resultan del contraste topográfico entre los sectores serrano y extra serrano. Si bien CPC arroja mejores resultados que CHIRPS, se concluye que ninguna de las dos series resulta adecuada para la evaluación de eventos extremos y su variabilidad en las Sierras Australes Bonaerenses, en razón de las limitantes de escala y orografía. Facultad de Ciencias Exactas y Naturales y Agrimensura 2024-11-15 info:eu-repo/semantics/article info:eu-repo/semantics/publishedVersion application/pdf https://revistas.unne.edu.ar/index.php/fce/article/view/7735 10.30972/fac.3427735 FACENA; Vol. 34 Núm. 2 (2024); 82-103 1851-507X 0325-4216 spa https://revistas.unne.edu.ar/index.php/fce/article/view/7735/7411 |
| institution |
Universidad Nacional del Nordeste |
| institution_str |
I-48 |
| repository_str |
R-154 |
| container_title_str |
Revistas UNNE - Universidad Nacional del Noroeste (UNNE) |
| language |
Español |
| format |
Artículo revista |
| topic |
Precipitación global CPC CHIRPS Eventos de precipitación extrema Sierras australes bonaerenses Global precipitation datasets CPC CHIRPS Extreme rainfall Sierras australes bonaerenses |
| spellingShingle |
Precipitación global CPC CHIRPS Eventos de precipitación extrema Sierras australes bonaerenses Global precipitation datasets CPC CHIRPS Extreme rainfall Sierras australes bonaerenses Casado, Ana Lia Berón de la Puente, Federico Javier Gil, Verónica Global precipitation datasets: implications for the study of extreme rainfall in mountain areas |
| topic_facet |
Precipitación global CPC CHIRPS Eventos de precipitación extrema Sierras australes bonaerenses Global precipitation datasets CPC CHIRPS Extreme rainfall Sierras australes bonaerenses |
| author |
Casado, Ana Lia Berón de la Puente, Federico Javier Gil, Verónica |
| author_facet |
Casado, Ana Lia Berón de la Puente, Federico Javier Gil, Verónica |
| author_sort |
Casado, Ana Lia |
| title |
Global precipitation datasets: implications for the study of extreme rainfall in mountain areas |
| title_short |
Global precipitation datasets: implications for the study of extreme rainfall in mountain areas |
| title_full |
Global precipitation datasets: implications for the study of extreme rainfall in mountain areas |
| title_fullStr |
Global precipitation datasets: implications for the study of extreme rainfall in mountain areas |
| title_full_unstemmed |
Global precipitation datasets: implications for the study of extreme rainfall in mountain areas |
| title_sort |
global precipitation datasets: implications for the study of extreme rainfall in mountain areas |
| description |
Global climate datasets are a useful alternative to the spatiotemporal deficiency of gauged records. While the use of such products has widespread, their reliability for detection of extreme rainfall events in complex terrains has large uncertainties. This study evaluates the potential application of global daily precipitation datasets for extreme rainfall assessment in the Sierras Australes Bonaerenses (Argentina). Two commonly used products are compared, Global Unified Gauge-Based Analysis of Daily Precipitation (CPC) and Climate Hazards Group InfraRed Precipitation with Stations (CHIRPS). The precipitation indices Rx1d, Rx5d and SDII together with R13 and R25 were selected to explore the series performance relative to the magnitude and frequency of extremes, respectively. Results show low to moderate fit for the five indices, with greater inconsistencies in the intensity and frequency of events. Both magnitude and frequency are underestimated, with errors that increase with the rainfall potential of the stations. Spatial variations in fit and reliability are also evident, and result from the topographic contrast between mountain and extra-mountain sectors. Although CPC yields better results than CHIRPS, it is concluded that neither of both is suitable for assessment of extreme rainfall events and variability in the Sierras Australes Bonaerenses, due to limitations of scale and topography. |
| publisher |
Facultad de Ciencias Exactas y Naturales y Agrimensura |
| publishDate |
2024 |
| url |
https://revistas.unne.edu.ar/index.php/fce/article/view/7735 |
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