Regional patterns of interannual variability of catchment water balances across the continental U.S.: A Budyko framework

Carmona, Alejandra; Sivapalan, Murugesu; Yaeger, Mary; Poveda, Germán

doi:10.1002/2014wr016013

Cited by 72 publications

(49 citation statements)

References 44 publications

(76 reference statements)

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“…Hence, it presents a great challenge to apply the BH to unsteady-state conditions (unclosed basins or intense water storage changes). The BH has been widely applied to mild arid basins with precipitation of 300-400 mm and aridity index of less than, for example, 5, such as over northern China (Yang et al, 2007), the southwestern regions of MOPEX catchments (Gentine et al, 2012;Carmona et al, 2014) and the west of Australia (Zhang et al, 2008). However, it is rare to apply the BH in extremely arid environments (say, the aridity index over 5), where water systems are typically unclosed with intense human interference and irrigation.…”

Section: Du Et Al: Role Of Water Balance In An Extended Budyko Hymentioning

confidence: 99%

New interpretation of the role of water balance in an extended Budyko hypothesis in arid regions

Sun

et al. 2016

Hydrol. Earth Syst. Sci.

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Abstract. The Budyko hypothesis (BH) is an effective approach to investigating long-term water balance at large basin scale under steady state. The assumption of steady state prevents applications of the BH to basins, which is unclosed, or with significant variations in root zone water storage, i.e., under unsteady state, such as in extremely arid regions. In this study, we choose the Heihe River basin (HRB) in China, an extremely arid inland basin, as the study area. We firstly use a calibrated and then validated monthly water balance model, i.e., the abcd model, to quantitatively determine annual and monthly variations of water balance for the sub-basins and the whole catchment of the HRB, and find that the roles of root zone water storage change and that of inflow from upper sub-basins in monthly water balance are significant. With the recognition of the inflow water from other regions and the root zone water storage change as additional possible water sources to evapotranspiration in unclosed basins, we further define the equivalent precipitation (P e ) to include local precipitation, inflow water and root zone water storage change as the water supply in the Budyko framework. With the newly defined water supply, the Budyko curve can successfully describe the relationship between the evapotranspiration ratio and the aridity index at both annual and monthly timescales, whilst it fails when only the local precipitation being considered. Adding to that, we develop a new Fu-type Budyko equation with two non-dimensional parameters (ω and λ) based on the deviation of Fu's equation. Over the annual timescale, the new Fu-type Budyko equation developed here has more or less identical performance to Fu's original equation for the sub-basins and the whole catchment. However, over the monthly timescale, due to large seasonality of root zone water storage and inflow water, the new Fu-type Budyko equation generally performs better than Fu's original equation. The new Fu-type Budyko equation (ω and λ) developed here enables one to apply the BH to interpret regional water balance over extremely dry environments under unsteady state (e.g., unclosed basins or sub-annual timescales).

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Section: Du Et Al: Role Of Water Balance In An Extended Budyko Hymentioning

confidence: 99%

New interpretation of the role of water balance in an extended Budyko hypothesis in arid regions

Sun

et al. 2016

Hydrol. Earth Syst. Sci.

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“…Recently, the variability of inter-annual and intra-annual climate change effects (e.g., climate extremes, seasonality and snowiness) has been incorporated in the Budyko framework (Potter et al, 2005;Berghuijs et al, 2014aBerghuijs et al, , 2014bCarmona et al, 2014;Zhang et al, 2015). The effects at a finer scale should be studied to obtain a more thorough understanding of the interactions between environmental change and hydrological responses in the Loess Plateau, which is our next research plan.…”

Section: Implication and Further Scopes Of This Studymentioning

confidence: 99%

Determining the hydrological responses to climate variability and land use/cover change in the Loess Plateau with the Budyko framework

Gao

Wang

et al. 2016

Science of The Total Environment

195

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• Elasticities of Q and R c to climate variability and catchment characteristic were derived.• Contributions of climate variability and land use/cover changes to reductions of Q and R c were determined.• Relationship between ecological restoration and hydrological responses was quantified. Understanding and quantifying the impacts of land use/cover change and climate variability on hydrological responses are important to the design of water resources and land use management strategies for adaptation to climate change, especially in water-limited areas. The elasticity method was used to detect the responses of streamflow and runoff coefficient to various driving factors in 15 main catchments of the Loess Plateau, China between 1961 and 2009. The elasticity of streamflow (Q) and runoff coefficient (R c ) to precipitation (P), potential evapotranspiration (E 0 ), and catchment characteristics (represented by the parameter m in Fu's equation) were derived based on the Budyko hypothesis. There were two critical values of m = 2 and E 0 /P = 1 for the elasticity of Q and R c . The hydrological responses were mainly affected by catchment characteristics in water-limited regions (E 0 /P N 1), and in humid areas (E 0 /P b 1), climate conditions played a more important role for cases of m N 2 whereas catchment characteristics had a greater impact for cases of m b 2. The annual Q and R c in 14 of the 15 catchments significantly decreased with average reduction of 0.87 mm yr −1 and 0.18% yr −1 , respectively. The mean elasticities of Q to P, E 0 and m were 2.66, −1.66 and −3.17, respectively. The contributions of land use/ cover change and P reduction to decreased Q were 64.75% and 41.55%, respectively, while those to decreased R c were 75.68% and 32.06%, respectively. In contrast, the decreased E 0 resulted in 6.30% and 7.73% increase of Q and R c , respectively. The contribution of land use/cover changes was significantly and positively correlated with the G R A P H I C Contents lists available at ScienceDirectScience of the Total Environment j o u r n a l h o m e p a g e : w w w . e l s e v i e r . c o m / l o c a t e / s c i t o t e n v increase in the percentage of the soil and water conservation measures area (p b 0.05). The R c significantly and linearly decreased with the vegetation coverage (p b 0.01). Moreover, the R c linearly decreased with the percentage of measures area in all catchments (eight of them were statistically significant with p b 0.05).

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“…Most of these studies have been applied at single basins (Donohue et al, 2011;Jiang et al, 2015;Liang and Liu, 2014;Liu and McVicar, 2012;Roderick and Farquhar, 2011;Xu et al, 2014;Zhang X. et al, 2014) or multiple basins within a single region: USA (Chen et al, 2013;Wang and Hejazi, 2011;Carmona et al, 2014;Istanbulluoglu et al, 2012), Australia (Donohue et al, 2010(Donohue et al, , 2012Teng et al, 2012), China (Yang D. et al, 2007(Yang D. et al, , 2009Yang and Yang, 2011;Yang H. et al, 2014;Cong et al, 2015;Xiong and Guo, 2012;Yu et al, 2013) and Europe (Velde et al, 2014;Oudin et al, 2008). The global scale studies have also been conducted but mainly focusing on the development of the Budyko functional forms (Koster and Suarez, 1999;Zhang L. et al, 2001;Arora, 2002) and their parameters (Li et al, 2013;Williams et al, 2012).…”

Section: Introductionmentioning

confidence: 99%

Comparison of future runoff projections using Budyko framework and global hydrologic model: conceptual simplicity vs process complexity

Fernández

Sayama

2015

Hydrological Research Letters

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Abstract:This paper compared future runoff projections using a Budyko type equation with respect to projections by a global hydrological model (GHM). The comparison was made for the annual mean runoff projections for a future period (2060-2100) after the Budyko parameter was set based on hydrologic model outputs at a present period . The objective of this study was to investigate the performance of the Budyko equation with respect to the hydrologic model at different climate regions. To address the question this study used the spatial average of runoff for the 35 largest basins in the world. According to the comparison, the projections by the two approaches agreed well (R 2 = 0.983), in particular in humid tropic region (R 2 = 0.986), but with consistent underestimation of future runoff (Median Error, ME = -0.042) by the Budyko equation. In subarctic region the performance of the Budyko equation was low (R 2 = 0.599) due to the overestimation of future runoff (ME = 0.110). The results in the dry and temperate regions also showed some discrepancy (R 2 = 0.931 and 0.724) without apparent patterns in the errors. The paper discussed possible reasons for the errors with respect to water and energy seasonality and changes in storage component contributions.

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Regional patterns of interannual variability of catchment water balances across the continental U.S.: A Budyko framework

Cited by 72 publications

References 44 publications

New interpretation of the role of water balance in an extended Budyko hypothesis in arid regions

New interpretation of the role of water balance in an extended Budyko hypothesis in arid regions

Determining the hydrological responses to climate variability and land use/cover change in the Loess Plateau with the Budyko framework

Comparison of future runoff projections using Budyko framework and global hydrologic model: conceptual simplicity vs process complexity

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