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Seasonal precipitation patterns along pathways of South American low‐level jets and aerial rivers
Author(s) -
Poveda Germán,
Jaramillo Liliana,
Vallejo Luisa F.
Publication year - 2014
Publication title -
water resources research
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 1.863
H-Index - 217
eISSN - 1944-7973
pISSN - 0043-1397
DOI - 10.1002/2013wr014087
Subject(s) - precipitation , environmental science , geography , climatology , hydrology (agriculture) , physical geography , meteorology , geology , geotechnical engineering
We study the seasonal dynamics of the eastern Pacific (CHOCO) and Caribbean low‐level jets (LLJ), and aerial rivers (AR) acting on tropical and subtropical South America. Using the ERA‐Interim reanalysis (1979–2012), we show that the convergence of both LLJs over the eastern Pacific‐western Colombia contributes to the explanation of the region's world‐record rainfall. Diverse variables involved in the transport and storage of moisture permit the identification of an AR over northern South America involving a midtropospheric easterly jet that connects the Atlantic and Pacific Oceans across the Andes, with stronger activity in April to August. Other major seasonal AR pathways constitute part of a large gyre originating over the tropical North Atlantic, veering to the southeast over the eastern Andes and reaching regions of northern Argentina and southeastern Brazil. We illustrate the distribution of average seasonal precipitation along the LLJs and AR pathways with data from the Tropical Rainfall Measuring Mission (1998–2011), combined with considerations of CAPE, topography, and land cover. In addition, the theory of the biotic pump of atmospheric moisture (BiPAM) is tested at seasonal time scales, and found to hold in 8 out of 12 ARs, and 22 out of 32 forest‐covered tracks (64% in distance) along the ARs. Deviations from BiPAM's predictions of rainfall distribution are explained by the effects of topography, orography, and land cover types different from forests. Our results lend a strong observational support to the BiPAM theory at seasonal time scales over South American forested flat lands.