Using satellite-based evapotranspiration estimates to improve  the structure of a simple conceptual rainfall–runoff model

Roy, Tirthankar; Gupta, Hoshin; Serrat-Capdevila, Aleix; Valdés, Juan B.

doi:10.5194/hess-21-879-2017

Cited by 42 publications

(41 citation statements)

References 65 publications

(68 reference statements)

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“…The analysis in this study also lends itself to scenarioneutral analyses (Brown et al, 2012;Prudhomme et al, 2010), although the full implications on specific impacts of hydrological systems (flood risk, water supply, etc.) would require the sensitivity analysis to be propagated to runoff via explicitly modeling the interaction between ET and rainfallrunoff processes (e.g., Garcia and Tague, 2015;Roy et al, 2017). Furthermore, potential changes to precipitation, which were not analyzed here but that can have a significant impact on future runoff, would need to be considered.…”

Section: Discussionmentioning

confidence: 99%

“…To estimate the variances, a large number of samples is firstly drawn by varying all input variables simultaneously, and then a Sobol' sequence is constructed by re-sampling from within these Monte Carlo samples (Saltelli et al, 2010). According to Sobol' et al (2007), to estimate the Sobol' firstorder and total-order indices with a Monte Carlo sample size of n consisting of p input variables, a Sobol' sequence with a total of n · (p + 2) samples should be obtained, i.e., requiring n · (p + 2) model evaluations.…”

Section: Discussionmentioning

confidence: 99%

“…The original Koöppen climate classification (Köppen et al, 1930;Köp-pen, 1931) provides a useful categorization of hydro-climatic conditions at specific locations, which is based on the longterm average levels and seasonal patterns of climatic and hydrologic variables, including temperature, relative humidity and rainfall. A "modified Köppen classification" system has been adapted for Australia (as in Stern et al, 2000) and is now widely used in climatic and hydrologic studies to identify and categorize case study locations (e.g., Johnson and Sharma, 2009;Rustomji et al, 2009;Li et al, 2014;Guo et al, 2017).…”

Section: Datamentioning

confidence: 99%

See 2 more Smart Citations

Sensitivity of potential evapotranspiration to changes in climate variables for different Australian climatic zones

Guo

Westra

Maier

2017

Hydrol. Earth Syst. Sci.

102

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Abstract. Assessing the factors that have an impact on potential evapotranspiration (PET) sensitivity to changes in different climate variables is critical to understanding the possible implications of climatic changes on the catchment water balance. Using a global sensitivity analysis, this study assessed the implications of baseline climate conditions on the sensitivity of PET to a large range of plausible changes in temperature (T ), relative humidity (RH), solar radiation (R s ) and wind speed (u z ). The analysis was conducted at 30 Australian locations representing different climatic zones, using the Penman-Monteith and Priestley-Taylor PET models. Results from both models suggest that the baseline climate can have a substantial impact on overall PET sensitivity. In particular, approximately 2-fold greater changes in PET were observed in cool-climate energy-limited locations compared to other locations in Australia, indicating the potential for elevated water loss as a result of increasing actual evapotranspiration (AET) in these locations. The two PET models consistently indicated temperature to be the most important variable for PET, but showed large differences in the relative importance of the remaining climate variables. In particular for the Penman-Monteith model, wind and relative humidity were the second-most important variables for dry and humid catchments, respectively, whereas for the PriestleyTaylor model solar radiation was the second-most important variable, with the greatest influence in warmer catchments. This information can be useful to inform the selection of suitable PET models to estimate future PET for different climate conditions, providing evidence on both the structural plausibility and input uncertainty for the alternative models.

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Section: Discussionmentioning

confidence: 99%

Section: Discussionmentioning

confidence: 99%

Section: Datamentioning

confidence: 99%

See 1 more Smart Citation

Sensitivity of potential evapotranspiration to changes in climate variables for different Australian climatic zones

Guo

Westra

Maier

2017

Hydrol. Earth Syst. Sci.

102

View full text Add to dashboard Cite

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“…The RS MINERVE tool that was developed at the Research Center On Alpine Environment (CREALP) was used to set up the SAC-SMA model; currently, the RS MINERVE platform is providing flood predictions for the Rhone River Basin located in Switzerland [57]. The Catchment Hydrological Cycle Assessment Tool (CAT) Version 3 software, as developed at KICT, was used to set up the GR4J, SIMHYD, CAT, and TANK models [51][52][53].…”

Section: Overview Of Hydrological Model Structurementioning

confidence: 99%

“…The Thiessen polygon method was used for estimating the mean areal precipitation. There exist several kinds of optimization methods for calibrating hydrological models and the Shuffled Complex Evolution-University of Arizona (SCE-UA) algorithm is often adopted by researchers due to its broad applications, efficiency, and robustness [49][50][51][52]. In this study, the SCE-UA algorithm was used to optimize the hydrological model parameters for each PET input by setting a similar objective function: NSE, LogNSE, KGE, and RSR.…”

Section: Introductionmentioning

confidence: 99%

Does the Complexity of Evapotranspiration and Hydrological Models Enhance Robustness?

et al. 2018

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Abstract:In this study, five hydrological models of increasing complexity and 12 Potential Evapotranspiration (PET) estimation methods of different data requirements were applied in order to assess their effect on model performance, optimized parameters, and robustness. The models were applied over a set of 10 catchments that are located in South Korea. The Shuffled Complex Evolution-University of Arizona (SCE-UA) algorithm was implemented to calibrate the hydrological models for each PET input while considering similar objective functions. The hydrological models' performance was satisfactory for each PET input in the calibration and validation periods for all of the tested catchments. The five hydrological models' performance were found to be insensitive to the 12 PET inputs because of the SCE-UA algorithm's efficiency in optimizing model parameters. However, the five hydrological models' parameters in charge of transforming the PET to actual evapotranspiration were sensitive and significantly affected by the PET complexity. The values of the three statistical indicators also agreed with the computed model evaluation index values. Similarly, identical behavioral similarities and Dimensionless Bias were observed in all of the tested catchments. For the five hydrological models, lack of robustness and higher Dimensionless Bias were seen for high and low flow as well as for the Hamon PET input. The results indicated that the complexity of the hydrological models' structure and the PET estimation methods did not necessarily enhance model performance and robustness. The model performance and robustness were found to be mainly dependent on extreme hydrological conditions, including high and low flow, rather than complexity; the simplest hydrological model and PET estimation method could perform better if reliable hydro-meteorological datasets are applied.

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A mathematical morphology approach for a qualitative exploration of drought events in space and time

Vernieuwe

Baets

Verhoest

2019

Intl Journal of Climatology

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Drought events occur worldwide and possibly incur severe consequences. Trying to understand and characterize drought events is of considerable importance in order to improve the preparedness for coping with future events. In this paper, we present a methodology that allows for the delineation of drought events by exploiting their spatiotemporal nature. To that end, we apply operators borrowed from mathematical morphology to represent drought events as connected components in space and time. As an illustration, we identify drought events on the basis of a 35‐year data set of daily soil moisture values covering mainland Australia. We then extract characteristics reflecting the affected area, duration and intensity from the proposed representation of a drought event in order to illustrate the impact of tuning parameters in the methodology presented. Yet, this paper we refrain from comparing with other drought delineation methods.

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Using satellite-based evapotranspiration estimates to improve the structure of a simple conceptual rainfall–runoff model

Cited by 42 publications

References 65 publications

Sensitivity of potential evapotranspiration to changes in climate variables for different Australian climatic zones

Sensitivity of potential evapotranspiration to changes in climate variables for different Australian climatic zones

Does the Complexity of Evapotranspiration and Hydrological Models Enhance Robustness?

A mathematical morphology approach for a qualitative exploration of drought events in space and time

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