An estimation of the land-atmosphere coupling strength in South America using the Global Land Data Assimilation System
The aim of this study is to identify regions of strong land surface –atmosphere coupling for the austral summer over South America. To accomplish this, a statistical methodology is applied to estimate the interactions of soil moisture with evapotranspiration and precipitation derived from the Global...
| Autores: | , |
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| Tipo de recurso: | artículo |
| Estado: | Versión publicada |
| Fecha de publicación: | 2015 |
| País: | Argentina |
| Institución: | Consejo Nacional de Investigaciones Científicas y Técnicas |
| Repositorio: | CONICET Digital (CONICET) |
| Idioma: | inglés |
| OAI Identifier: | oai:ri.conicet.gov.ar:11336/4471 |
| Acceso en línea: | http://hdl.handle.net/11336/4471 |
| Access Level: | acceso abierto |
| Palabra clave: | Land Surface-Atmosphere Interactions Soil Moisture Precipitation South America Gldas https://purl.org/becyt/ford/1.5 https://purl.org/becyt/ford/1 |
| Sumario: | The aim of this study is to identify regions of strong land surface –atmosphere coupling for the austral summer over South America. To accomplish this, a statistical methodology is applied to estimate the interactions of soil moisture with evapotranspiration and precipitation derived from the Global Land Data Assimilation System (GLDAS) dataset. Possible impacts of El Niño Southern Oscillation (ENSO) on the coupling strength are also examined. Particular emphasis is set over two sub-regions of interest: Southeastern South America (SESA) and the continental part of the South Atlantic Convergence Zone (SACZ). Positive and significant soil moisture–precipitation feedbacks are found over parts of SACZ and in the southern part of South America. Instead, significant negative feedback is found over SESA. The influence of ENSO over the soil moisture–precipitation coupling strength signal is evident over tropical regions. Plausible physical mechanisms involved in the land surface–atmosphere interactions, the influence of ENSO and that of precipitation persistence over extratropical regions on the results, are discussed. The implications of this analysis on monthly to seasonal forecast are also examined. Despite that this methodology cannot be used to establish a precise causal–effect relationship, this study gives a valuable first order approximation of land surface–atmosphere interactions over South America that complements pre-existing work. |
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