A scaling approach to Budyko's framework and the complementary relationship of evapotranspiration in humid environments: case study of the Amazon River basin

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 (<i>E</i>), potential evapotranspiration (<i>E</i><sub>p</sub>) and precipitation (<i>...

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Main Authors: A. M. Carmona, G. Poveda, M. Sivapalan, S. M. Vallejo-Bernal, E. Bustamante
Format: Article
Language:English
Published: Copernicus Publications 2016-02-01
Series:Hydrology and Earth System Sciences
Online Access:http://www.hydrol-earth-syst-sci.net/20/589/2016/hess-20-589-2016.pdf
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spelling doaj-95311650f1084d519bbbc47857f3b6792020-11-24T23:21:33ZengCopernicus PublicationsHydrology and Earth System Sciences1027-56061607-79382016-02-0120258960310.5194/hess-20-589-2016A scaling approach to Budyko's framework and the complementary relationship of evapotranspiration in humid environments: case study of the Amazon River basinA. M. Carmona0G. Poveda1M. Sivapalan2S. M. Vallejo-Bernal3E. Bustamante4Department of Geosciences and Environment, Universidad Nacional de Colombia, Sede Medellín, Medellín, ColombiaDepartment of Geosciences and Environment, Universidad Nacional de Colombia, Sede Medellín, Medellín, ColombiaDepartment of Civil and Environmental Engineering, University of Illinois at Urbana-Champaign, Urbana, Illinois, USADepartment of Geosciences and Environment, Universidad Nacional de Colombia, Sede Medellín, Medellín, ColombiaDepartment of Mathematics, Universidad Nacional de Colombia, Sede Medellín, Medellín, ColombiaThis paper studies a 3-D state space representation of Budyko's framework designed to capture the mutual interdependence among long-term mean actual evapotranspiration (<i>E</i>), potential evapotranspiration (<i>E</i><sub>p</sub>) and precipitation (<i>P</i>). For this purpose we use three dimensionless and dependent quantities: Ψ  =  <i>E</i> &frasl; <i>P</i>, Φ  =  <i>E</i><sub>p</sub> &frasl; <i>P</i> and Ω  =  <i>E</i> &frasl; <i>E</i><sub>p</sub>. 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 <i>E</i><sub>p</sub> &frasl; <i>P</i>  =  0 when <i>E</i> &frasl; <i>E</i><sub>p</sub>  &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  =  <i>k</i>Φ<sup><i>e</i></sup>, with <i>k</i>  =  0.66, and <i>e</i>  =  0.83 (<i>R</i><sup>2</sup>  =  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, <i>k</i> 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 <i>k</i> and <i>e</i>, 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, <i>k</i> and <i>e</i> are found to be related to vegetation, topography and water in soils.http://www.hydrol-earth-syst-sci.net/20/589/2016/hess-20-589-2016.pdf
collection DOAJ
language English
format Article
sources DOAJ
author A. M. Carmona
G. Poveda
M. Sivapalan
S. M. Vallejo-Bernal
E. Bustamante
spellingShingle A. M. Carmona
G. Poveda
M. Sivapalan
S. M. Vallejo-Bernal
E. Bustamante
A scaling approach to Budyko's framework and the complementary relationship of evapotranspiration in humid environments: case study of the Amazon River basin
Hydrology and Earth System Sciences
author_facet A. M. Carmona
G. Poveda
M. Sivapalan
S. M. Vallejo-Bernal
E. Bustamante
author_sort A. M. Carmona
title A scaling approach to Budyko's framework and the complementary relationship of evapotranspiration in humid environments: case study of the Amazon River basin
title_short A scaling approach to Budyko's framework and the complementary relationship of evapotranspiration in humid environments: case study of the Amazon River basin
title_full A scaling approach to Budyko's framework and the complementary relationship of evapotranspiration in humid environments: case study of the Amazon River basin
title_fullStr A scaling approach to Budyko's framework and the complementary relationship of evapotranspiration in humid environments: case study of the Amazon River basin
title_full_unstemmed A scaling approach to Budyko's framework and the complementary relationship of evapotranspiration in humid environments: case study of the Amazon River basin
title_sort scaling approach to budyko's framework and the complementary relationship of evapotranspiration in humid environments: case study of the amazon river basin
publisher Copernicus Publications
series Hydrology and Earth System Sciences
issn 1027-5606
1607-7938
publishDate 2016-02-01
description 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 (<i>E</i>), potential evapotranspiration (<i>E</i><sub>p</sub>) and precipitation (<i>P</i>). For this purpose we use three dimensionless and dependent quantities: Ψ  =  <i>E</i> &frasl; <i>P</i>, Φ  =  <i>E</i><sub>p</sub> &frasl; <i>P</i> and Ω  =  <i>E</i> &frasl; <i>E</i><sub>p</sub>. 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 <i>E</i><sub>p</sub> &frasl; <i>P</i>  =  0 when <i>E</i> &frasl; <i>E</i><sub>p</sub>  &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  =  <i>k</i>Φ<sup><i>e</i></sup>, with <i>k</i>  =  0.66, and <i>e</i>  =  0.83 (<i>R</i><sup>2</sup>  =  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, <i>k</i> 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 <i>k</i> and <i>e</i>, 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, <i>k</i> and <i>e</i> are found to be related to vegetation, topography and water in soils.
url http://www.hydrol-earth-syst-sci.net/20/589/2016/hess-20-589-2016.pdf
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