A unifying framework for watershed thermodynamics: balance equations for mass, momentum, energy and entropy, and the second law of thermodynamics

Reggiani, P.; Sivapalan, Murugesu; Hassanizadeh, S. Majid

doi:10.1016/s0309-1708(98)00012-8

Cited by 207 publications

(308 citation statements)

References 22 publications

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“…First, we point out the main geometric quantities deemed necessary for the description of the REW. These have already been defined during the averaging procedure (for reference, see Reggiani et al [1998Reggiani et al [ , 1999a) and are only briefly revisited here. Next, we point out how we incorporate soil properties into the balance equations and present the assumptions underlying their application.…”

Section: Definition Of the Problemmentioning

confidence: 99%

Conservation equations governing hillslope responses: Exploring the physical basis of water balance

Reggiani

Sivapalan

Hassanizadeh

2000

Water Resources Research

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133

135

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Section: Definition Of the Problemmentioning

confidence: 99%

Conservation equations governing hillslope responses: Exploring the physical basis of water balance

Reggiani

Sivapalan

Hassanizadeh

2000

Water Resources Research

Self Cite

133

135

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“…New concepts for process-based models have been put forward in recent years, but more testing is required to assess whether previous limitations of physically-based models have yet been overcome (e.g. Reggiani et al 1998Reggiani et al , 1999Reggiani et al , 2000Reggiani et al , 2001Panday & Huyakorn 2004;Qu & Duffy 2007;Kollet & Maxwell 2006, 2008.…”

Section: Introductionmentioning

confidence: 99%

Advances in the identification and evaluation of complex environmental systems models

Wagener

Reed

Werkhoven

et al. 2009

Journal of Hydroinformatics

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Advances in our ability to model complex environmental systems are currently driven by at least four needs: (1) the need for the inclusion of uncertainty in monitoring, modelling and decisionmaking; (2) the need to provide environmental predictions everywhere; (3) the need to predict the impacts of environmental change; and (4) the need to adaptively evolve observation networks to better resolve environmental systems and embrace sensing innovations. Satisfying these needs will require improved theory, improved models and improved frameworks for making and evaluating predictions. All of these improvements should result in the long-term evolution and improvement of observation systems. In the context of this paper we discuss current bottlenecks and opportunities for advancing environmental modelling with and without local observations of system response. More realistic representations of real-world thresholds, nonlinearities and feedbacks motivates the use of more complex models as well as the consequent need for more rigorous evaluations of model performance. In the case of gauged systems, we find that global sensitivity analysis provides a widely underused tool for evaluating models' assumptions and estimating the information content of data. In the case of ungauged systems, including the modelling of environmental change impacts, we propose that the definition of constraints on the expected system response provides a promising way forward. Examples of our own work are included to support the conclusions of this discussion paper. Overall, we conclude that an important bottleneck currently limiting environmental predictions lies in how our model evaluation and identification approaches are extracting, using and evolving the information available for environmental systems at the watershed scale.

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“…For this reason, considering the limited data available in practice, the application of these types of models in operational real-time flood forecasting is quite difficult. Examples of physically-based model systems are MIKE SHE (DHI, 1998) and the Representative Elementary Watershed framework (REW, Reggiani et al, 1998).…”

Section: Hydrological and Hydrodynamic Modellingmentioning

confidence: 99%

Improving Flood Prediction Assimilating Uncertain Crowdsourced Data into Hydrological and Hydraulic Models

Mazzoleni¹

2017

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A unifying framework for watershed thermodynamics: balance equations for mass, momentum, energy and entropy, and the second law of thermodynamics

Cited by 207 publications

References 22 publications

Conservation equations governing hillslope responses: Exploring the physical basis of water balance

Conservation equations governing hillslope responses: Exploring the physical basis of water balance

Advances in the identification and evaluation of complex environmental systems models

Improving Flood Prediction Assimilating Uncertain Crowdsourced Data into Hydrological and Hydraulic Models

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