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inverse modelling

Inverse modelling in estimating soil hydraulic functions: a Genetic Algorithm approach

Inverse modelling in estimating soil hydraulic functions: a Genetic Algorithm approach

... The inverse modelling approach is also applied where the measured soil hydraulic data are used as fitting criteria to estimate the soil hydraulic parameters by inverting the governing equation of the soil ...

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Parameter optimisation for a better representation of drought by LSMs: inverse modelling vs  sequential data assimilation

Parameter optimisation for a better representation of drought by LSMs: inverse modelling vs sequential data assimilation

... Differences in validation results can be caused by uncer- tainties in Agreste GY observations or by the difficulty in upscaling the observations and the simulations (Sect. 2.6). In order to limit this effect, we further ...

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Improved Interpretation of Mercury Intrusion and Soil Water Retention Percolation Characteristics by Inverse Modelling and Void Cluster Analysis

Improved Interpretation of Mercury Intrusion and Soil Water Retention Percolation Characteristics by Inverse Modelling and Void Cluster Analysis

... of inverse modelling structures, and the ease with which the amoeboid simplex can stochastically explore the wrong regions of the complex parameter space—or, in the vernacular, ‘minor garbage into the ...

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Forecasting wind-driven wildfires using an inverse modelling approach

Forecasting wind-driven wildfires using an inverse modelling approach

... Abstract. A technology able to rapidly forecast wildfire dy- namics would lead to a paradigm shift in the response to emergencies, providing the Fire Service with essential in- formation about the ongoing fire. This ...

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Inverse Modelling of Trace Gas Exchange at Canopy and Regional Scales

Inverse Modelling of Trace Gas Exchange at Canopy and Regional Scales

... “inversemodelling approach, where plant-atmosphere exchange processes are inferred from observations of atmospheric con- centrations either explicitly within the model formulation or implicitly by ...

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Using an inverse modelling approach to evaluate the water retention in a simple water harvesting technique

Using an inverse modelling approach to evaluate the water retention in a simple water harvesting technique

... compared to the scale at which the processes are modelled. These results also indicate that water content readings con- tribute considerably to the identifiabilty of hydraulic proper- ties under field conditions and ...

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Inadequacy of 1D, 2D and 3D Resistivity Inverse Modelling in the Presence of Electrical Anisotropy

Inadequacy of 1D, 2D and 3D Resistivity Inverse Modelling in the Presence of Electrical Anisotropy

... For modelling purposes software created by ...an inverse model resistivity section was ...and inverse modelling was applied for more complex 2D anisotropic models as well as for 3D anisotropic ...

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Inverse Modelling for Estimation of Average Grain Size and Material Constants - An Optimization Approach

Inverse Modelling for Estimation of Average Grain Size and Material Constants - An Optimization Approach

... an inverse model for estimat- ing grain size history, using inverse modelling techniques available in the ...literature. Inverse modelling avoids the use of α and β for the grain size ...

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Inverse modelling of atmospheric tracers: non-Gaussian methods and second-order sensitivity analysis

Inverse modelling of atmospheric tracers: non-Gaussian methods and second-order sensitivity analysis

... Building on the analytical results of the the second-order analysis, an information content study has been carried out. The purpose was, for a single dispersion dispersion event, to objectively measure the information ...

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Inverse modelling of NO emissions over eastern China: uncertainties due to chemical non-linearity

Inverse modelling of NO emissions over eastern China: uncertainties due to chemical non-linearity

... istry implies that the local derivative (of a first-order Taylor expansion) is better suited in the inversion formulation de- veloped by Martin et al. (2003) than bulk ratio, in agreement with Vinken et al. (2014a, b) ...

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Investigating Prior Parameter Distributions in the Inverse Modelling of Water Distribution Hydraulic Models

Investigating Prior Parameter Distributions in the Inverse Modelling of Water Distribution Hydraulic Models

... the modelling process in order to perform model comparison and selection ...the inverse modelling problem as a probabilistic Bayesian approach, and solving it with a Markov Chain Monte Carlo (MCMC) ...

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Field scale apparent hydraulic parameterisation obtained from TDR time series and inverse modelling

Field scale apparent hydraulic parameterisation obtained from TDR time series and inverse modelling

... Abstract. Due to the large heterogeneity in the hydraulic properties of natural soils, estimation of field-scale hy- draulic parameters is difficult. Past research revealed that data from accurate but small-scale ...

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Identification of the non-elastic material parameters by inverse modelling: A stress based approximation

Identification of the non-elastic material parameters by inverse modelling: A stress based approximation

... Inverse methods compare experimental observations with numerical ...The inverse modelling can tune the different material parameters in a single experimental ...on inverse modelling of ...

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Atmospheric transport and chemistry of trace gases in LMDz5B: evaluation and implications for inverse modelling

Atmospheric transport and chemistry of trace gases in LMDz5B: evaluation and implications for inverse modelling

... of inverse estimates of regional emissions by inverse modelling is mostly dependent on: (a) the num- ber, accuracy and spatio-temporal coverage of observations constraining the inversion, (b) the ...

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Inverse modelling for predicting both water and nitrate movement in a structured clay soil (Red Ferrosol)

Inverse modelling for predicting both water and nitrate movement in a structured clay soil (Red Ferrosol)

... two inverse scenarios produced slightly differing values, with the Fit All parameters having a lower value for the objective function than the Set Measured suggesting that the former gave a slightly closer fit ...

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Estimating leaf area index in savanna vegetation using remote sensing and inverse modelling

Estimating leaf area index in savanna vegetation using remote sensing and inverse modelling

... Second Simulation of the Satellite Signal in the Solar Spectrum Artificial Neural Network Analytical Spectral Devices Advanced Very Fhgh Resolution Radiometer Bidirectional Reflectance D[r] ...

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Global sensitivity analysis, inverse modelling on 
		soil water 
		infiltration

Global sensitivity analysis, inverse modelling on soil water infiltration

... The aim of these studies is to manage uncertainty input parameter values. Firstly, the water infiltration model was subjected to Sobol ’ variance-based method to study global sensitivity analysis. Secondly, the model was ...

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Estimating flow and transport parameters in the unsaturated zone with pore water stable isotopes

Estimating flow and transport parameters in the unsaturated zone with pore water stable isotopes

... the inverse modelling approach by using a com- bination of different types of data as objective functions gen- erally improves parameter identification (Kool et ...of inverse problems (Mishra and ...

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Event-Driven Applications for Tomography Software Modelling of Forward and Inverse Solutions

Event-Driven Applications for Tomography Software Modelling of Forward and Inverse Solutions

... on modelling the solution for the forward and inverse problems were discussed and structured based on a typical fan- beam transmission mode UT ...and inverse modelling were tabulated and ...

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A Wedge-DCB Test Methodology to Characterise High Rate Mode-I Interlaminar Fracture Properties of Fibre Composites

A Wedge-DCB Test Methodology to Characterise High Rate Mode-I Interlaminar Fracture Properties of Fibre Composites

... the inverse modelling procedure is to determine the interface cohesive parameters with which the simulation results match well with the experimental data in terms of the three metrics described ...

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