A Null‐Parameter Formula of Storage‐Evapotranspiration Relationship at Catchment Scale and its Application for a New Hydrological Model

Han, Pengfei; Wang, Xu‐Sheng; Istanbulluoglu, Erkan

doi:10.1002/2017jd027758

Cited by 12 publications

(23 citation statements)

References 40 publications

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“…Models in Han et al. (2018), Istanbulluoglu et al. (2012), Thomas (1981) as well as Wang and Zhou (2016) could be used to do simulation, but it is difficult to distinguish the impact of croplands from generalized model parameters.…”

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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“…Inter‐annual variation in the water balance has been investigated in many studies (Arora, 2002; Han et al, 2018; Istanbulluoglu et al, 2012; Koster & Suarez, 1999; Yang et al, 2007). It has been found that the inter‐annual variability in streamflow is mainly controlled by the inter‐annual variability of climate, especially in humid regions (Milly & Dunne, 2002; Xu et al, 2012; Yang et al, 2006).…”

Section: Introductionmentioning

confidence: 99%

The Roles of Climate Forcing and Its Variability on Streamflow at Daily, Monthly, Annual, and Long‐Term Scales

Yao

Libera

Kheimi

et al. 2020

Water Resources Research

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The temporal variability of precipitation and potential evapotranspiration affects streamflow from daily to long‐term scales, but the relative roles of different climate variabilities on streamflow at daily, monthly, annual, and mean annual scales have not been systematically investigated in the literature. This paper developed a new daily water balance model, which provides a unified framework for water balance across timescales. The daily water balance model is driven by four climate forcing scenarios (observed daily climate and observed daily climate with its intra‐monthly, intra‐annual, and inter‐annual variability removed) and applied to 78 catchments. Daily streamflow from the water balance model is aggregated to coarser timescales. The relative roles of intra‐monthly, intra‐annual, and inter‐annual climate variability are evaluated by comparing the modeled streamflow forced with the climate forcings at two consecutive timescales. It is found that daily, monthly, and annual streamflow is primarily controlled by the climate variability at the same timescale. Intra‐monthly climate variability plays a small role in monthly and annual streamflow variability. Intra‐annual climate variability has significant effects on streamflow at all the timescales, and the relative roles of inter‐annual climate variability are also significant to the monthly and mean annual streamflow, which is often disregarded. The quantitative evaluation of the roles of climate variability reveals how climate controls streamflow across timescales.

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“…Therefore, calculated effective rainfall replaces rainfall in both the climate aridity index and the evaporation ratio. Recently, Han et al [24] proposed a null-parameter formula of the storage-evapotranspiration relationship based on a simplified proportionality hypothesis. However, the attribution analysis methods used in these studies were mostly based on Budyko decomposition [25] and few studies have applied hydrological sensitivity analysis to seasonal runoff attribution.…”

Section: Introductionmentioning

confidence: 99%

Attribution Analysis of Dry Season Runoff in the Lhasa River Using an Extended Hydrological Sensitivity Method and a Hydrological Model

Mei

Chen

et al. 2019

Water

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In this study, a coupled water-energy balance equation at an arbitrary time scale was proposed as an extension of the Budyko hypothesis. The second mixed partial derivative was selected to represent the magnitude of the interaction. The extended hydrological sensitivity method was used to quantitatively evaluate the impacts of climate change, anthropogenic activities, and their interaction on dry season runoff in the Lhasa River. In addition, an ABCD model, which is a monthly hydrological model included a snowmelt module, was used to calculate the change in soil water and groundwater storage. The Mann-Kendall test, Spearman's test, dynamic linear model (DLM), and Yamamoto's method were used to identify trends and change points in hydro-climatic variables from 1956-2016. The results found that dry season runoff increased non-significantly over the last 61 years. Climate change, which caused an increase in dry season runoff, was the dominant factor, followed by anthropogenic activities and their interaction, which led to varying degrees of decrease. This study concluded that the methods tested here performed well in quantifying the relative impacts of climate change, anthropogenic activities, and their interaction on dry season runoff change.

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A Null‐Parameter Formula of Storage‐Evapotranspiration Relationship at Catchment Scale and its Application for a New Hydrological Model

Cited by 12 publications

References 40 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

The Roles of Climate Forcing and Its Variability on Streamflow at Daily, Monthly, Annual, and Long‐Term Scales

Attribution Analysis of Dry Season Runoff in the Lhasa River Using an Extended Hydrological Sensitivity Method and a Hydrological Model

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