2017
DOI: 10.1007/s00382-017-3653-6
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Moisture origin and transport processes in Colombia, northern South America

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Cited by 87 publications
(134 citation statements)
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References 47 publications
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“…Substantially, the analysis of the moisture sources presented for the Andean region coincides with Hoyos et al () for the Magdalena basin, which they call the Caribbean because its mouth goes into the Caribbean Sea. Note that the difference in terminology is because they use watersheds while in the territorial division we use is that of geographic regions.…”
Section: Discussionsupporting
confidence: 82%
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“…Substantially, the analysis of the moisture sources presented for the Andean region coincides with Hoyos et al () for the Magdalena basin, which they call the Caribbean because its mouth goes into the Caribbean Sea. Note that the difference in terminology is because they use watersheds while in the territorial division we use is that of geographic regions.…”
Section: Discussionsupporting
confidence: 82%
“…Note also that not the entire Andean region has a bimodal regime as discussed below. Hoyos et al (2017) identify that the recirculation of moisture from the same Andean region can contribute to local precipitation up to 17% according to the model used for its estimation. This considerable contribution has a clear bimodal annual cycle that follows the cycle of radiation.…”
Section: Discussionmentioning
confidence: 99%
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“…In fact, WRF shows an abrupt change in the correlation patterns with the Pacific from December to January; such an abrupt change is not seen with the GPCC data (Figures a,e). In general, regarding the variability of dry season DJ precipitation over the Andes region, Figure shows the dominant role of SSTs in the Pacific compared to the Atlantic, which is remarkable given that most of the mean atmospheric moisture that arrives at northwestern South America comes from the Atlantic (see mean VIMF in Figures and ; see also Sakamoto et al ., ; Arias et al, ; Hoyos et al, ). There is also an interesting positive correlation pattern that appears over the Gulf of Mexico during January, which is not present in WRF.…”
Section: Resultsmentioning
confidence: 98%
“…In long-(sustainable and resiliency-based urban/rural planning) and short-term (early warning) risk management applications, it is remarkably important to identify the moisture sources in a region to fully characterize the local hydrological cycle and the present and future potential hazards linked to extreme events. A Lagrangian approximation, such as the estimation of back trajectories, is an optimal tool to identify the moisture sources for a region (Gimeno et al, 2012), allowing Tiedtke scheme one to characterize its climatology and to identify spatiotemporal patterns associated with the essential moisture sources in different timescales (Dirmeyer and Brubaker, 2007;Drumond et al, 2008;Viste and Sorteberg, 2013;Drumond et al, 2014;Huang and Cui, 2015;Ciric et al, 2016;Stojanovic et al, 2017;Hoyos et al, 2018). The back trajectories, together with the specific humidity, are estimated using threedimensional wind and specific-humidity fields from ERA5 global reanalysis.…”
Section: Back-trajectory Analysismentioning
confidence: 99%