A simple framework for relating variations in runoff to variations in climatic conditions and catchment properties

Roderick, Michael L.; Farquhar, Graham D.

doi:10.1029/2010wr009826

Cited by 411 publications

(483 citation statements)

References 88 publications

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“…Various methods have been developed to isolate hydrological impacts of land use/cover change from those of climate change (Wang et al, 2013;Wang, 2014;Ahn and Merwade, 2014), which can be classified into following types: (i) paired catchment approach (Brown et al, 2005); (ii) empirically statistical methods (Wei and Zhang, 2010;Zhang et al, 2011); (iii) physically-based hydrological models (Wang et al, 2013;López-Moreno et al, 2014;Serpa et al, 2015;Buendia et al, 2016); (iv) elasticity or sensitivity based method (Schaake, 1990;Sankarasubramanian et al, 2001;Arora, 2002;Roderick and Farquhar, 2011); (v) eco-hydrological approach (Tomer and Schilling, 2009);and (vi) decomposition method (Wang and Hejazi, 2011).…”

Section: Methods Of Attribution Analysis On Streamflow Changementioning

confidence: 99%

“…Arora (2002) proposed an analytical elasticity model based on the Budyko framework to estimate the sensitivity of streamflow to long-term changes in precipitation and potential evaporation. Roderick and Farquhar (2011) derived analytical expressions of the sensitivity coefficients of streamflow to climatic variables (precipitation and evaporative demand) and catchment properties through the differentiation of the Budyko equation. In contrast to the nonparametric method, the Budyko-based approach is built on the principle of catchment water-energy balance, and it employs a simple but more physically realistic background to investigate the catchment hydrological response to environmental changes.…”

Section: Methods Of Attribution Analysis On Streamflow Changementioning

confidence: 99%

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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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Section: Methods Of Attribution Analysis On Streamflow Changementioning

confidence: 99%

Section: Methods Of Attribution Analysis On Streamflow Changementioning

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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“…The Budyko hypothesis is an effective tool for investigating the interaction between climate, hydrological cycle, and vegetation (Roderick and Farquhar, 2011;Yang and Yang, 2011). According to Fu (1981), the relationship between the long-term average annual ET, PET, and P can be expressed as follows:…”

Section: The Budyko Hypothesis Analysismentioning

confidence: 99%

The response of agricultural drought to meteorological drought and the influencing factors: A case study in the Wei River Basin, China

Huang

Chang

et al. 2015

Agricultural Water Management

119

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The heuristic segmentation method Drought propagation The Budyko hypothesis The Wei River Basin a b s t r a c t It is of importance to investigate the response of agricultural drought to meteorological drought and its influencing factors, which could help better understand drought evolution mechanisms and facilitate agricultural drought monitoring and predictions. As a case study in the Wei River Basin (WRB), China, the heuristic segmentation method was first applied to identify change points of long-term hydrological and metrological conditions for the period of 1960-2007. Then the cross wavelet analysis was utilized to reveal the detailed links between agricultural drought (based on Palmer Drought Severity Index (PDSI)) and meteorological drought (based on Standardized Precipitation Index (SPI)) at the seasonal time scale. The controlling factors governing the agricultural response were then explored through quantitatively examining the corresponding large-scale atmospheric conditions and local-scale land surface characteristics. Results indicate that: (1) the variations of the lag time of agricultural drought in response to meteorological drought is large at the seasonal scale, characterized by fast response in summer and relatively slow response in autumn, and the contrasting response in the time lag is mainly due to the buffering effects of soils; (2) the variations of Arctic Oscillation (AO) was found to have large effects on the lag time, with both positive and negative effects; (3) a negative correlation between the lag time and the parameter w in the Fu' equation within the Budyko framework was found, implying the potential effects of vegetation cover on the drought propagation from meteorological drought to agricultural drought in the WRB.

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“…To measure the reliability of RE in the five reanalyses, we use the Budyko framework to estimate AE. As noted in Roderick and Farquhar [2011], catchment-scale AE can be calculated as a function of two climatic factors, precipitation (P) and evaporative demand (E 0 ), and a third parameter that encodes the catchment properties (n) and modifies how precipitation is partitioned between AE and runoff. Generally, a "Budyko equation" of the generalized form is given by [Choudhury, 1999;Roderick and Farquhar, 2011] …”

Section: Calculation Of Actual Evapotranspirationmentioning

confidence: 99%

“…Multireanalysis data sets are applied to avoid data dependence of the results. In order to estimate the uncertainties incorporated in these data sets, the performances of five sets of reanalysis data in reproducing the climatology, interannual variation, and long-term trend of RE over China are comprehensively evaluated with AE estimates calculated using the Budyko framework [Roderick and Farquhar, 2011]. Moreover, dominant modes of the change in RE among multiple reanalyses are extracted using multivariate empirical orthogonal function analysis (MV-EOF) [Wang, 1992], and it is effective to provide discrepancies involved in the dominant modes.…”

Section: Introductionmentioning

confidence: 99%

Evaporation variability under climate warming in five reanalyses and its association with pan evaporation over China

Feng

2015

JGR Atmospheres

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With the motivation to identify actual evapotranspiration (AE) variability under climate warming over China, an assessment is made from five sets of reanalysis data sets [National Centers for Environmental Prediction-National Center for Atmospheric Research (NCEP-NCAR), NCEP-Department of Energy (NCEP-DOE), Modern-Era Retrospective Analysis for Research and Applications (MERRA), Interim Reanalysis, and Japanese 55-year Reanalysis (JRA-55)]. Based on comparison with AE estimates calculated using the Budyko equation, all five reanalysis data sets reasonably reproduce the spatial patterns of AE over China, with a clearly southeast-northwest gradient. Overall, JRA-55 (NCEP-DOE) gives the lowest (highest) reanalysis evaporation (RE) values. From 1979 to 2013, dominant modes of RE among five reanalyses are extracted using multivariate empirical orthogonal function analysis. Accordingly, the interdecadal variation of RE is likely driven by the change of temperature, and the interannual variation is constrained by the water supply conditions. Under climate warming, RE increase in the Northwest China, Yangtze-Huaihe river basin, and South China, while they decrease in Qinghai-Tibet Plateau, and northern and Northeast China. Moreover, the relationship between RE and pan evaporation (PE) are comprehensively evaluated in space-time. Negative correlations are generally confirmed in nonhumid environments, while positive correlations exist in the humid regions. Our analysis supports the interpretation that the relationship between PE and AE was complementary with water control and proportional with energy control. In view of data availability, important differences in spatial variability and the amount of RE can be found in Northwest China, the Qinghai-Tibet Plateau, and the Yangtze River Basin. Generally speaking, NCEP-NCAR and MERRA have substantial problems on describing the long-term change of RE; however, there are some inaccuracies in the JRA-55 estimates when focusing on the year-to-year variation.

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A simple framework for relating variations in runoff to variations in climatic conditions and catchment properties

Cited by 411 publications

References 88 publications

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

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

The response of agricultural drought to meteorological drought and the influencing factors: A case study in the Wei River Basin, China

Evaporation variability under climate warming in five reanalyses and its association with pan evaporation over China

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