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GERMAN POVEDA published an article in December 2018.
Top co-authors
Gladys Bernal

9 shared publications

Departamento de Geociencias y Medio Ambiente, Universidad Nacional de Colombia, Medellín, Colombia

Juan Mauricio Bedoya-Soto

2 shared publications

Department of Geosciences and Environment, Facultad de Minas, Universidad Nacional de Colombia, Sede Medellín, Medellín, Colombia

Óscar A. Rueda

1 shared publications

Grupo HTM

Publication Record
Distribution of Articles published per year 
(1993 - 2018)
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Article 0 Reads 0 Citations Seasonal and intraseasonal variability of active and quiescent upwelling events in the Guajira system, southern Caribbea... R.A. Montoya-Sánchez, A. Devis-Morales, G. Bernal, G. Poveda Published: 01 December 2018
Continental Shelf Research, doi: 10.1016/j.csr.2018.10.006
DOI See at publisher website
Article 0 Reads 0 Citations Seasonal and interannual variability of the mixed layer heat budget in the Caribbean Sea R.A. Montoya-Sánchez, A. Devis-Morales, G. Bernal, G. Poveda Published: 01 November 2018
Journal of Marine Systems, doi: 10.1016/j.jmarsys.2018.07.003
DOI See at publisher website
CONFERENCE-ARTICLE 18 Reads 0 Citations <strong>New insights on land surface-atmosphere feedbacks over tropical South America at interannual timescales</strong> Juan Mauricio Bedoya-Soto, Germán Poveda Published: 10 November 2017
First International Electronic Conference on the Hydrological Cycle, doi: 10.3390/CHyCle-2017-04875
DOI See at publisher website ABS Show/hide abstract

Using monthly data for the period 1979-2010, we study the dynamics and strength of land surface-atmosphere feedbacks (LAFs) among variables involved in the heat and moisture fluxes, at interannual timescales for Tropical South America (TropSA). The variables include precipitation, surface air temperature, specific humidity at 925 hPa, evaporation, and estimates of volumetric soil water content. Using a dimensional reduction, we apply a Maximum Covariance Analysis (MCA) to rank the relative contributions to LAFs and group the time series into Maximum Covariance States (MCS) with common mechanisms among variables. We estimate linear (Pearson correlations) and non-linear (information transfer and causality) coupling metrics among pairs of variables to configure the structure of linkages. The main MCS associated with LAFs over TropSA are strongly influenced by ENSO, and the meridional and equatorial SSTs modes over the Atlantic and Indian Oceans. ENSO favors a unimodal behavior, with center of action in the Amazon River basin, while SSTs over the Tropical North Atlantic result in a dipole between northern and southern TropSA. Results show that soil moisture plays a leading role in regulating heat and water anomalies, and provides the memory of the atmosphere-driven processes and their subsequent influence. Thus, soil moisture is fundamental and leads up to 9 month-lags whereby ENSO enhances the interannual connectivity and memory of LAFs in 25% with respect to the mode influenced by TNA. Within the identified multivariate structure, evaporation and soil moisture enhance the interannual connectivity of the whole set of variables since both variables exhibit more frequent two-way feedbacks with the remaining variables.

Article 0 Reads 8 Citations A scaling approach to Budyko's framework and the complementary relationship of evapotranspiration in humid environments:... A. M. Carmona, Germán Poveda, Murugesu Sivapalan, S. M. Vall... Published: 03 February 2016
Hydrology and Earth System Sciences, doi: 10.5194/hess-20-589-2016
DOI See at publisher website ABS Show/hide abstract
This paper studies a 3-D state space representation of Budyko's framework designed to capture the mutual interdependence among long-term mean actual evapotranspiration (E), potential evapotranspiration (Ep) and precipitation (P). For this purpose we use three dimensionless and dependent quantities: Ψ = E &frasl; P, Φ = Ep &frasl; P and Ω = E &frasl; Ep. This 3-D space and its 2-D projections provide an interesting setting to test the physical soundness of Budyko's hypothesis. We demonstrate analytically that Budyko-type equations are unable to capture the physical limit of the relation between Ω and Φ in humid environments, owing to the unfeasibility of Ep &frasl; P = 0 when E &frasl; Ep &rarr; 1. Using data from 146 sub-catchments in the Amazon River basin we overcome this inconsistency by proposing a physically consistent power law: Ψ = kΦe, with k = 0.66, and e = 0.83 (R2 = 0.93). This power law is compared with two other Budyko-type equations. Taking into account the goodness of fits and the ability to comply with the physical limits of the 3-D space, our results show that the power law is better suited to model the coupled water and energy balances within the Amazon River basin. Moreover, k is found to be related to the partitioning of energy via evapotranspiration in terms of Ω. This suggests that our power law implicitly incorporates the complementary relationship of evapotranspiration into the Budyko curve, which is a consequence of the dependent nature of the studied variables within our 3-D space. This scaling approach is also consistent with the asymmetrical nature of the complementary relationship of evapotranspiration. Looking for a physical explanation for the parameters k and e, the inter-annual variability of individual catchments is studied. Evidence of space–time symmetry in Amazonia emerges, since both between-catchment and between-year variability follow the same Budyko curves. Finally, signs of co-evolution of catchments are explored by linking spatial patterns of the power law parameters with fundamental characteristics of the Amazon River basin. In general, k and e are found to be related to vegetation, topography and water in soils.
Article 0 Reads 2 Citations Statistical scaling, Shannon entropy, and Generalized space-time q-entropy of rainfall fields in tropical South America Germán Poveda, Hernán D. Salas Published: 01 July 2015
Chaos: An Interdisciplinary Journal of Nonlinear Science, doi: 10.1063/1.4922595
DOI See at publisher website PubMed View at PubMed
Article 0 Reads 3 Citations Scaling of entropy and multi-scaling of the time generalized q-entropy in rainfall and streamflows Hernán D. Salas, Germán Poveda Published: 01 April 2015
Physica A: Statistical Mechanics and its Applications, doi: 10.1016/j.physa.2014.12.015
DOI See at publisher website