Geophysical models are more and more complex and can describe, in a very careful way, the geodynamical processes. These models depend on several geometrical and physical parameters, which characterize the models behaviour. These parameters are not errorless since they are known with some uncertainties. Thus, model predictions are affected by these parameter uncertainties. Usually, the model errors are not taken into account and are not propagated to the estimated quantities. This can cause improper hypothesis testing when geodetic data and model predictions are compared. In this paper, a method is presented which allows considering the model errors through the definition of the spatial covariance function of the model. A simulation is set u...
In order to validate the results of geophysical models a common procedure is to compare model predic...
In order to validate the results of geophysical models a common procedure is to compare model predic...
The ability to quantify structural uncertainty in geological models that incorporate geophysical dat...
When the results of geophysical models are compared with data, the uncertainties of the model are ty...
When the results of geophysical models are compared with data, the uncertainties of the model are ty...
We apply the statistical procedure proposed by Barzaghi et al. (2014) to determine model uncertainty...
This article belongs to the Topical Collection: Advanced Maui Optical and Space Surveillance Technol...
This article belongs to the Topical Collection: Advanced Maui Optical and Space Surveillance Technol...
International audienceThe process of 3-D modelling forces the operator to consider data collection a...
International audienceThe process of 3-D modelling forces the operator to consider data collection a...
International audienceThe process of 3-D modelling forces the operator to consider data collection a...
International audienceThe process of 3-D modelling forces the operator to consider data collection a...
In order to validate the results of geophysical models a common procedure is to compare model predic...
In order to validate the results of geophysical models a common procedure is to compare model predic...
In order to validate the results of geophysical models a common procedure is to compare model predic...
In order to validate the results of geophysical models a common procedure is to compare model predic...
In order to validate the results of geophysical models a common procedure is to compare model predic...
The ability to quantify structural uncertainty in geological models that incorporate geophysical dat...
When the results of geophysical models are compared with data, the uncertainties of the model are ty...
When the results of geophysical models are compared with data, the uncertainties of the model are ty...
We apply the statistical procedure proposed by Barzaghi et al. (2014) to determine model uncertainty...
This article belongs to the Topical Collection: Advanced Maui Optical and Space Surveillance Technol...
This article belongs to the Topical Collection: Advanced Maui Optical and Space Surveillance Technol...
International audienceThe process of 3-D modelling forces the operator to consider data collection a...
International audienceThe process of 3-D modelling forces the operator to consider data collection a...
International audienceThe process of 3-D modelling forces the operator to consider data collection a...
International audienceThe process of 3-D modelling forces the operator to consider data collection a...
In order to validate the results of geophysical models a common procedure is to compare model predic...
In order to validate the results of geophysical models a common procedure is to compare model predic...
In order to validate the results of geophysical models a common procedure is to compare model predic...
In order to validate the results of geophysical models a common procedure is to compare model predic...
In order to validate the results of geophysical models a common procedure is to compare model predic...
The ability to quantify structural uncertainty in geological models that incorporate geophysical dat...