SauzeGaugings

Stage-discharge gaugings from the hydrometric station 'the Ardèche River at Sauze-St-Martin'.
See https://en.wikipedia.org/wiki/Ardèche_(river) for a description of the river
See https://hal.science/hal-00934237 for an article using this dataset

datasets

An interface to the 'BaM' (Bayesian Modeling) engine,
a 'Fortran'-based executable aimed at estimating a model
with a Bayesian approach and using it for prediction,
with a particular focus on uncertainty quantification.
Classes are defined for the various building blocks of
'BaM' inference (model, data, error models, Markov Chain Monte Carlo (MCMC) samplers, predictions).
The typical usage is as follows:
(1) specify the model to be estimated;
(2) specify the inference setting (dataset, parameters, error models...);
(3) perform Bayesian-MCMC inference;
(4) read, analyse and use MCMC samples;
(5) perform prediction experiments.
Technical details are available (in French) in
Renard (2017) <https://hal.science/hal-02606929v1>.
Examples of applications include
Mansanarez et al. (2019) <doi:10.1029/2018WR023389>,
Le Coz et al. (2021) <doi:10.1002/hyp.14169>,
Perret et al. (2021) <doi:10.1029/2020WR027745>,
Darienzo et al. (2021) <doi:10.1029/2020WR028607> and
Perret et al. (2023) <doi:10.1061/JHEND8.HYENG-13101>.

Benjamin Renard

RBaM

Bayesian Modeling: Estimate a Computer Model and Make Uncertain
Predictions

INRAE 

Ministère de la Transition Ecologique - SCHAPI 

SauzeGaugings function

A data frame with 38 rows and 3 variables:<dl>
 <dt>H</dt>
<dd>Stage (m)</dd> <dt>Q</dt>
<dd>Discharge (m3/s)</dd> <dt>uQ</dt>
<dd>Discharge uncertainty (m3/s) expressed as a standard deviation</dd>
</dl>

Format

Sauze Gaugings — SauzeGaugings

A data frame with 38 rows and 3 variables:<dl>
 <dt>H</dt>
<dd>Stage (m)</dd>

 <dt>Q</dt>
<dd>Discharge (m3/s)</dd>

 <dt>uQ</dt>
<dd>Discharge uncertainty (m3/s) expressed as a standard deviation</dd>


</dl>

SauzeGaugings: Sauze Gaugings

Description

Usage

Arguments

Format