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Part 1: Document Description
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Citation |
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Title: |
Covariance resampling for particle filter -- state and parameter estimation for soil hydrology [dataset] |
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Identification Number: |
doi:10.11588/data/MFU6EV |
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Distributor: |
heiDATA |
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Date of Distribution: |
2019-02-13 |
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Version: |
1 |
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Bibliographic Citation: |
Berg, Daniel; Hannes H. Bauser; Kurt Roth, 2019, "Covariance resampling for particle filter -- state and parameter estimation for soil hydrology [dataset]", https://doi.org/10.11588/data/MFU6EV, heiDATA, V1 |
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Citation |
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Title: |
Covariance resampling for particle filter -- state and parameter estimation for soil hydrology [dataset] |
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Identification Number: |
doi:10.11588/data/MFU6EV |
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Authoring Entity: |
Berg, Daniel (Institute of Environmental Physics (IUP), Heidelberg University, Germany) |
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Hannes H. Bauser (Institute of Environmental Physics (IUP), Heidelberg University, Germany) |
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Kurt Roth (Institute of Environmental Physics (IUP), Heidelberg University, Germany) |
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Distributor: |
heiDATA |
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Access Authority: |
Berg, Daniel |
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Holdings Information: |
https://doi.org/10.11588/data/MFU6EV |
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Study Scope |
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Keywords: |
Earth and Environmental Sciences, Physics |
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Abstract: |
This repository contains the data for the paper 'Covariance resampling for particle filter -- state and parameter estimation for soil hydrology'. All plots contained in the paper can be reproduced using this data. |
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Notes: |
The zip-archive 'results.zip' contains eight HDF5 files. <br> <p> Files ending with '..._data.h5' contain the data of the synthetic truth: <br> 'measurement_positions': position [cm] of the measurements <br> Following data have the time [s] in the first row: <br> 'measurement_stddevs': standard deviation of the measurements<br> 'measurements': actual measurements<br> 'true_state': true water content state<br> 'true_state_parameter': true values of the Mualem-van Genuchten parameters, where the first pair is the decadic logarithm of the saturated conductivity function, the second pair is the parameter n-1 and the third pair is alpha. <br> </p> <p> Files ending with '..._da_run.h5' contain the particle filter run, where the data has the time [s] in the first row:<br> 'weights_prior': initial weights (equally weighted)<br> 'weights_forecast': weights after the forecast<br> 'weights_weighted': weights after updating with the measurements<br> 'weights_analysis': weights after resampling <br> In the folder 'state' and 'state_parameter' is the temporal development of each ensemble member saved, including their mean. </p> <br> <br> <p> The main run of the paper, used for the plots in section 4 & 5 is saved in:<br> 'resampling_main_data.h5'<br> 'resampling_main_da_run.h5' </p> <p> The run without data assimilation (resampling is switched off) from the start is saved in: 'free_run_da.h5'<br> </p> <br> <br> <p> The particle filter runs with a model error used for the plots in section 6.2 are saved for the 10% bias in: <br> '10_percent_bias_data.h5' <br> '10_percent_bias_da_run.h5' </p> <p> and for the 20% bias in:<br> '20_percent_bias_data.h5' <br> '20_percent_bias_da_run.h5' </p> <br> <br> <p> Since the runs in section 6.1 and the supplementary are too large, the analyzed data is saved in:<br> 'seed_dependency_analysis.h5' <br> </p> <p> Section 6.1: The folders 'adaptivity_1_0', 'adaptivity_1_1', 'adaptivity_1_2' and 'adaptivity_1_3' contain the ensemble members, mean and variance of the water content used for figure 10 in the paper. </p> <p> Supplementary: The rest of the data in 'seed_dependency_analysis.h5 ' is part of the supplementary. The mean parameter value at the last assimilation time step is saved for each parameter with the different realizations in x-direction and the ensemble sizes in y-direction. <br> The ensemble sizes are different for each factor of gamma:<br> for gamma=1.0: from: 20 to 180 with stepsize 20<br>           from: 200 to 600 with stepsize 50<br>           from: 700 to 1000 with stepsize 50<br> for gamma=1.1: from 20 to 300 with stepsize 20 <br> for gamma=1.2: from 10 to 180 with stepsize 10<br> for gamma=1.3: from 10 to 160 with stepsize 10 <br> </p> |
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Methodology and Processing |
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Sources Statement |
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Data Access |
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Other Study Description Materials |
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Related Publications |
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Citation |
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Title: |
Berg, D., Bauser, H. H., and Roth, K.: Covariance resampling for particle filter – state and parameter estimation for soil hydrology, Hydrol. Earth Syst. Sci., 23, 1163-1178, 2019. |
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Identification Number: |
10.5194/hess-23-1163-2019 |
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Bibliographic Citation: |
Berg, D., Bauser, H. H., and Roth, K.: Covariance resampling for particle filter – state and parameter estimation for soil hydrology, Hydrol. Earth Syst. Sci., 23, 1163-1178, 2019. |
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Label: |
Results.zip |
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Text: |
H5-Files |
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Notes: |
application/zip |