Por favor, use este identificador para citar o enlazar este ítem: https://hdl.handle.net/10495/41301
Título : Forest-Induced Exponential Growth of PrecipitationAlong Climatological Wind StreamlinesOver the Amazon
Autor : Molina Santamaría, Rubén Darío
Salazar Villegas, Juan Fernando
Martínez Agudelo, John Alejandro
Villegas Palacio, Juan Camilo
Arias Gómez, Paola Andrea
metadata.dc.subject.*: Bosques tropicales
Tropical forests
Climatología
Climatology
Árboles-crecimiento
Trees-growth
Influencias forestales
Forest influences
Fecha de publicación : 2019
Editorial : American Geophysical Union
Wiley
Citación : Molina, R. D., Salazar, J. F.,Martínez, J. A., Villegas, J. C., &Arias, P. A. (2019). Forest-inducedexponential growth of precipitationalong climatological windstreamlines over the Amazon.Journal of Geophysical Research:Atmospheres, 124, 2589–2599.https://doi.org/10.1029/2018JD029534
Resumen : ABSTRACT: The Amazon forests and climatological precipitation patterns in South America areinterrelated. A fundamental question is how these patterns depend on the presence of forests. Here weinvestigate this relationship by studying how precipitation varies with distance from the ocean along windstreamlines linking the Atlantic Ocean to northwestern and southern South America through the Amazonforests. Through a robust observation-based analysis, we found that precipitation exponentially increaseswith distance from the ocean along wind streamlines flowing over forests, while it exponentially decreasesdownwind of the forests. These patterns are consistent with multiple mechanisms through which forestsinfluence the transport of atmospheric moisture and precipitation production over the continent. Wepropose a conceptual explanation of this forest influence based on the atmospheric water balance. Ourresults imply that a major consequence of the degradation or loss of forests may be a disruption of thesemechanisms, with widespread impacts on continental precipitation.
metadata.dc.identifier.eissn: 2169-8996
ISSN : 2169-897X
metadata.dc.identifier.doi: 10.1029/2018JD029534
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