Budyko framework; towards non-steady state conditions

Mianabadi, Ameneh; Davary, Kamran; Pourreza‐Bilondi, Mohsen; Coenders-Gerrits, Miriam

doi:10.1016/j.jhydrol.2020.125089

Cited by 54 publications

(23 citation statements)

References 91 publications

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“…However, the complexity in the physically based models and the overfitting effect arisen by many uncertain parameters reduce the simple, straightforward and generic scopes in comparison with the Budyko framework. Thus, an attractive approach is extending the Budyko framework to the unsteady‐state condition (Mianabadi et al., 2020). Conceptual hydrological models have been suggested to simulate the inter‐annual changes in the soil water and groundwater storages at the catchment scale and used to extending the Budyko framework (Chen et al., 2013; Han et al., 2018; Istanbulluoglu et al., 2012; Wang & Zhou, 2016).…”

Section: Introductionmentioning

confidence: 99%

A New Hydrologic Sensitivity Framework for Unsteady‐State Responses to Climate Change and Its Application to Catchments With Croplands in Illinois

Han

Istanbulluoglu

Wan

et al. 2021

Water Resources Research

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Climate change has been concerned as a trigger of hydrologic changes around the world. Budyko framework was widely used in hydrologic sensitivity analyses on the steady‐state water balance. The unsteady‐state responses, for example the inter‐annual hydrologic sensitivity, were not well investigated, especially for catchments influenced by croplands as that exist in Illinois in the United States. We propose a new hydrologic sensitivity framework for the unsteady‐state condition, together with a new hydrological model, to investigate the impact of croplands on the hydrologic sensitivity. In addition to the Budyko‐type relationship between the annual evapotranspiration ratio (E/P) and the aridity index (Ep/P), this framework incorporates the empirical relationship between the annual storage change ratio (ΔS/P) and Ep/P into sensitivity coefficients. The required data of annual E/P and ΔS/P could be obtained from observation and hydrological models. In particular, the bcd‐αK model is newly developed from the existing bcd model in considering croplands in Illinois, which includes only five parameters while capturing major hydrological processes for catchments with croplands. Results show that the annual E/P, ΔS/P and Q/P in 12 studied catchments have significant linear relationships with Ep/P. The annual runoff is much more sensitive to the change in precipitation than to the change in potential evapotranspiration. The traditional steady‐state analysis overestimates the sensitivity of the evapotranspiration to the change in the precipitation for the unsteady‐state condition and underestimates the variability of sensitivity coefficients among catchments.

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Section: Introductionmentioning

confidence: 99%

A New Hydrologic Sensitivity Framework for Unsteady‐State Responses to Climate Change and Its Application to Catchments With Croplands in Illinois

Han

Istanbulluoglu

Wan

et al. 2021

Water Resources Research

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“…(2012) estimated ET of 59 major basins during 2003–2009 by applying the water balance equation. The Budyko framework is limited to a steady state, being a result of assuming no ΔTWS and ε in the water balance (Berghuijs et al., 2020; Budyko, 1974; Mianabadi et al., 2020; Teuling et al., 2019). The water balance‐based Budyko framework is widely used for hydrological modeling and ecohydrological impact analyses of climate change (C. Wang et al., 2016; S. Zhang et al., 2018).…”

Section: Introductionmentioning

confidence: 99%

Long‐Term Water Imbalances of Watersheds Resulting From Biases in Hydroclimatic Data Sets for Water Budget Analyses

Tan

Liu

Tan

2022

Water Resources Research

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Assessing the water budget closures and source of water budget imbalances is fundamental to improving the understanding of changes in the hydrological system and their associated impacts. We analyzed the long‐term (1982–2016) water budget for 1,561 watersheds by using various observed data sets for precipitation (P), evapotranspiration (ET), observed streamflow (Q), and total water storage change (∆TWS). The results show that 93%, 79%, 44%, and 20% of watersheds show water imbalances ratio less than 30%, 20%, 10%, and 5% of their corresponding precipitation. The average absolute water imbalance ratio for all watersheds is 14.2% of P. Watersheds showing large water imbalance ratio values are mostly located in biomes of Tropical and Subtropical Moist Broadleaf Forests, Boreal Forests/Taiga, and Tundra. Different P, ET, and Q data set combinations result in different degrees of water imbalance. The water budget imbalance ratio shows a significant negative relationship with humidity index and vegetation coverage, while a positive relationship with the proportions of irrigation area and watershed area. Showing small water imbalances for most watersheds, reanalysis precipitation data set (ERA5 and MSWEP), MTE evapotranspiration data set performed better than other data sets in water budget analyses in most biomes. The uncertainties of P, ET, Q, and ∆TWSGRACE contribute to 40.1%, 14.3%, 26.6%, and 19% of the water budget imbalance on average, respectively. Improving the accuracy of P and ET estimates, and streamflow measurements are critical to better understanding the water budget and improves modeling of hydrological processes.

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“…In part, this problem can be mended by an additional constraint for determining the essential parameters, and the traditional Budyko framework can come into play. A Budyko function (e.g., Fu, 1981;Yang et al, 2008) explains the mean ratio of ET a to P (i.e., surface water balance) simply by climatological aridity and a few implicit parameters, simultaneously closing the surface energy budget (Mianabadi et al, 2020). Although Bouchet's principle has often been linked with the water balance described by Budyko functions (e.g., Carmona et al, 2016;Chen and Buchberger, 2018;Lhomme and Moussa, 2016;Zhang and Brutsaert, 2021), this theoretical link has been ignored when predicting ET a by the definitive CRs.…”

Section: Introductionmentioning

confidence: 99%

Linking the complementary evaporation relationship with the Budyko framework for ungauged areas in Australia

Kim

Choi

Chun

2022

Hydrol. Earth Syst. Sci.

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Abstract. While the calibration-free complementary relationship (CR) has performed excellently in predicting terrestrial evapotranspiration (ETa), how to determine the Priestley–Taylor coefficient (αe) is a remaining question. In this work, we evaluated this highly utilizable method, which only requires atmospheric data, with in situ flux observations and basin-scale water-balance estimates (ETwb) in Australia, proposing how to constrain it with a traditional Budyko equation for ungauged locations. We found that the CR method with a constant αe transferred from fractional wet areas performed poorly in reproducing the mean annual ETwb in unregulated river basins, and it underperformed advanced physical, machine-learning, and land surface models in closing grid-scale water balance. This problem was remedied by linking the CR method with a traditional Budyko equation that allowed for an upscaling of the optimal αe from gauged basins to ungauged locations. The combined CR–Budyko framework enabled us to reflect climate conditions in αe, leading to more plausible ETa estimates in ungauged areas. The spatially varying αe conditioned by local climates enabled the CR method to outperform the three ETa models in reproducing the grid-scale ETwb across the Australian continent. We argued here that the polynomial CR with a constant αe could result in biased ETa, and it can be constrained by a traditional Budyko equation for improvement.

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Budyko framework; towards non-steady state conditions

Cited by 54 publications

References 91 publications

A New Hydrologic Sensitivity Framework for Unsteady‐State Responses to Climate Change and Its Application to Catchments With Croplands in Illinois

A New Hydrologic Sensitivity Framework for Unsteady‐State Responses to Climate Change and Its Application to Catchments With Croplands in Illinois

Long‐Term Water Imbalances of Watersheds Resulting From Biases in Hydroclimatic Data Sets for Water Budget Analyses

Linking the complementary evaporation relationship with the Budyko framework for ungauged areas in Australia

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