An estimation of the land-atmosphere coupling strength in South America using the Global Land Data Assimilation System

Autor: Spennemann, Pablo Cristian, Saulo, Andrea Celeste
Jazyk: angličtina
Rok vydání: 2015
Předmět:
DOI: 10.1002/joc.4274/abstract
Popis: 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. Fil: Spennemann, Pablo Cristian. Consejo Nacional de Investigaciones Científicas y Técnicas. Oficina de Coordinacion Administrativa Ciudad Universitaria. Centro de Investigaciones del Mar y la Atmósfera; Argentina Fil: Saulo, Andrea Celeste. Consejo Nacional de Investigaciones Científicas y Técnicas. Oficina de Coordinacion Administrativa Ciudad Universitaria. Centro de Investigaciones del Mar y la Atmósfera; Argentina. Universidad de Buenos Aires. Facultad de Ciencias Exactas y Naturales. Departamento de Ciencias de la Atmósfera y los Océanos; Argentina
Databáze: OpenAIRE