A Bayesian Approach to Infer Volcanic System Parameters, Timing, and Size of Strombolian Events From a Single Tilt Station (Matlab codes, Input data, and output files) (doi:10.21979/N9/09IV1N)

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Part 1: Document Description
Part 2: Study Description
Part 5: Other Study-Related Materials
Entire Codebook

A Bayesian Approach to Infer Volcanic System Parameters, Timing, and Size of Strombolian Events From a Single Tilt Station (Matlab codes, Input data, and output files)

doi:10.21979/N9/09IV1N

DR-NTU (Data)

2019-04-04

1

Manta, Fabio, 2019, "A Bayesian Approach to Infer Volcanic System Parameters, Timing, and Size of Strombolian Events From a Single Tilt Station (Matlab codes, Input data, and output files)", https://doi.org/10.21979/N9/09IV1N, DR-NTU (Data), V1

A Bayesian Approach to Infer Volcanic System Parameters, Timing, and Size of Strombolian Events From a Single Tilt Station (Matlab codes, Input data, and output files)

doi:10.21979/N9/09IV1N

Manta, Fabio (Nanyang Technological University)

Matlab

Under the Research Centres of Excellence initiative

Contribution 240

Contribution 240

DR-NTU (Data)

Manta Fabio

Manta Fabio

2019-04-04

https://doi.org/10.21979/N9/09IV1N

Earth and Environmental Sciences, Earth and Environmental Sciences, codes

This dataset contains the codes and scripts used to analyze the tilt data and synthetics discussed in our paper titled: "A Bayesian approach to infer volcanic system parameters, timing, and size of Strombolian events from a single tilt station". The dataset contains also the input data and the synthetics used for the inversion, and all the output results.

codes

10.1029/2018JB016882

Manta, F., & Taisne, B. (2019). A Bayesian approach to infer volcanic system parameters, timing, and size of Strombolian events from a single tilt station. Journal of Geophysical Research: Solid Earth, 124(5), 5081-5100.

10356/89192

Manta, F., & Taisne, B. (2019). A Bayesian approach to infer volcanic system parameters, timing, and size of Strombolian events from a single tilt station. Journal of Geophysical Research: Solid Earth, 124(5), 5081-5100.

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best_fit_HH_nocap5.fig

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best_fit_JOINT_nocap10.fig

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best_fit_LL_nocap5.fig

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bestFitt_t01.png

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best_model_parameters_HH_nocap5.mat

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best_model_parameters_JOINT_nocap10.mat

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best_model_parameters_LL_nocap5.mat

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best_model_parameters_MH_nocap5.mat

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dataD_HH.txt

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dataD_LL.txt

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dataD_MH.txt

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data_sem_HH_nocap.mat

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data_sem_LL_nocap.mat

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data_sem_MH_nocap.mat

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errors_HH_nocap_5.png

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errors_JOINT_nocap_10.png

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errors_LL_nocap_8.png

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errors_MH_nocap_5.png

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generate_parameters.m

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likelihood_joint.m

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likelihood.m

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main_script_tilt_inversionHH_synt.m

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main_script_tilt_inversion_joint_realdata.m

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main_script_tilt_inversion_joint_synt.m

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main_script_tilt_inversionLL_synt.m

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main_script_tilt_inversionMH_synt.m

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mass_vs_TimeExp01.png

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mass_vs_TimeExp02.png

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mass_vs_TimeExp08.png

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mass_vs_TimeExp09.png

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mass_vs_TimeExp10.png

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mass_vs_TimeExp11.png

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mcmc_model_parameters_HH_nocap5.mat

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mcmc_model_parameters_JOINT_nocap10.mat

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mcmc_model_parameters_LL_nocap5.mat

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mcmc_model_parameters_MH_nocap5.mat

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NoiseMaker.m

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parameters_estimation_HH_nocap4.png

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parameters_estimation_HH_nocap5.fig

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parameters_estimation_JOINT_nocap10.fig

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parameters_estimation_LL_nocap5.fig

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parameters_estimation_MH_nocap5.fig

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PDF_HH_nocap_5.fig

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RungeKutta4ODE2_Cap.m

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RungeKutta4ODE2_NoCap.m

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tilt_model_calculator_joint.m

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tilt_model_calculator_new.m

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tilt_model_calculator_NoLengthControl.m

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tilt_vs_TimeExp01.png

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tilt_vs_TimeExp02.png

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tilt_vs_TimeExp03.png

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tilt_vs_TimeExp10.png

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tilt_vs_TimeExp11.png

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time_amplitude_test_v9.m

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main script of the forecasting tool

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