Stochastic Simulation and Safety Research for Hydrosystems (LS3)

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61 to 70 of 74 Results

Regime-and-memory model (RMM) Code Jun 24, 2021 - CAMPOS Project P8: Conceptual Model Uncertainty Gonzalez-Nicolas Alvarez, Ana, 2021, "Regime-and-memory model (RMM) Code", https://doi.org/10.18419/DARUS-2034, DaRUS, V1 We introduce a simple stochastic time-series model (regime-and-memory model, RMM) for concentrations in the river that accounts for fluctuating release and transport with memory, using an autocorrelation over time.One explicit parameter of our model represents the export regime. This parameter can morph the model among chemostatic-type and chemodyn...
License.txt Jun 24, 2021 - Regime-and-memory model (RMM) Code Plain Text - 1.5 KB - MD5: 8ee31a20b6dfb6cf41b5ac673b720631
RMM_code.tar Jun 24, 2021 - Regime-and-memory model (RMM) Code TAR Archive - 618.5 KB - MD5: f774bb6bef0ff777247ad0b45474674f This includes the Matlab files and input files to run the Regime-and-Memory model (RMM) described in Gonzalez-Nicolas, A.; Schwientek, M.; Sinsbeck, M.; Nowak, W.. Characterization of Export Regimes in Concentration–Discharge Plots via an Advanced Time-Series Model and Event-Based Sampling Strategies. Water 2021, 13 (accepted)
Replication Data for: Overcoming the model-data-fit problem in porous media: A quantitative method to compare invasion-percolation models to high-resolution data Jun 18, 2021 - Modeling Strategies for Gas migration in Subsurface Banerjee, Ishani, 2021, "Replication Data for: Overcoming the model-data-fit problem in porous media: A quantitative method to compare invasion-percolation models to high-resolution data", https://doi.org/10.18419/DARUS-1776, DaRUS, V1 This dataset contains modeling data used to obtain the results and figures in the manuscript: "Overcoming the model-data-fit problem in porous media: A quantitative method to compare invasion-percolation models to high-resolution data." In particular, the model realization data and post-processing codes for the manuscript can be found here.
CompMethod_readme.txt Jun 18, 2021 - Replication Data for: Overcoming the model-data-fit problem in porous media: A quantitative method to compare invasion-percolation models to high-resolution data Plain Text - 2.3 KB - MD5: 1b1729d1013e7f62d388169fd0c2eaae Documentation text file with details of the codes and data provided in this dataset
Gasmat.rar Jun 18, 2021 - Replication Data for: Overcoming the model-data-fit problem in porous media: A quantitative method to compare invasion-percolation models to high-resolution data RAR Archive - 532.3 MB - MD5: 2f480b77c9db7c0b3fce17eeddc4530c Data 3d matrices containing the gas path development in time along 3rd-dimension
GaussSmooth_test.m Jun 18, 2021 - Replication Data for: Overcoming the model-data-fit problem in porous media: A quantitative method to compare invasion-percolation models to high-resolution data Plain Text - 1.1 KB - MD5: 699637f38d1ae538c24706f2132b69f8 Code code: Diffused Jaccard coefficient for a single image and its translation; helpful to understand the computation of Diffused Jaccard coefficient; calls "mygaussfilt.m"
Modelcounter_block.rar Jun 18, 2021 - Replication Data for: Overcoming the model-data-fit problem in porous media: A quantitative method to compare invasion-percolation models to high-resolution data RAR Archive - 2.9 MB - MD5: 0c23320bdad7b2b427d4ba191b6e77c3 Data 2d arrays, containing col1: loop counter number and col2: number of blocks invaded.
Moments.m Jun 18, 2021 - Replication Data for: Overcoming the model-data-fit problem in porous media: A quantitative method to compare invasion-percolation models to high-resolution data Plain Text - 962 B - MD5: a4c60d20771a1040ed1f89b4f38bed34 Code code: Spatial moments (zeroth, first and second) computation of images in 2D space
mygaussfilt.m Jun 18, 2021 - Replication Data for: Overcoming the model-data-fit problem in porous media: A quantitative method to compare invasion-percolation models to high-resolution data Plain Text - 497 B - MD5: cf38db012533faddf3c33e38a13426e6 Code code: Gaussian blurring kernel

Regime-and-memory model (RMM) Code

Jun 24, 2021 - CAMPOS Project P8: Conceptual Model Uncertainty

Gonzalez-Nicolas Alvarez, Ana, 2021, "Regime-and-memory model (RMM) Code", https://doi.org/10.18419/DARUS-2034, DaRUS, V1

We introduce a simple stochastic time-series model (regime-and-memory model, RMM) for concentrations in the river that accounts for fluctuating release and transport with memory, using an autocorrelation over time.One explicit parameter of our model represents the export regime. This parameter can morph the model among chemostatic-type and chemodyn...

License.txt

Jun 24, 2021 - Regime-and-memory model (RMM) Code

Plain Text - 1.5 KB -

RMM_code.tar

Jun 24, 2021 - Regime-and-memory model (RMM) Code

TAR Archive - 618.5 KB -

This includes the Matlab files and input files to run the Regime-and-Memory model (RMM) described in Gonzalez-Nicolas, A.; Schwientek, M.; Sinsbeck, M.; Nowak, W.. Characterization of Export Regimes in Concentration–Discharge Plots via an Advanced Time-Series Model and Event-Based Sampling Strategies. Water 2021, 13 (accepted)

Replication Data for: Overcoming the model-data-fit problem in porous media: A quantitative method to compare invasion-percolation models to high-resolution data

Jun 18, 2021 - Modeling Strategies for Gas migration in Subsurface

Banerjee, Ishani, 2021, "Replication Data for: Overcoming the model-data-fit problem in porous media: A quantitative method to compare invasion-percolation models to high-resolution data", https://doi.org/10.18419/DARUS-1776, DaRUS, V1

This dataset contains modeling data used to obtain the results and figures in the manuscript: "Overcoming the model-data-fit problem in porous media: A quantitative method to compare invasion-percolation models to high-resolution data." In particular, the model realization data and post-processing codes for the manuscript can be found here.

CompMethod_readme.txt

Jun 18, 2021 - Replication Data for: Overcoming the model-data-fit problem in porous media: A quantitative method to compare invasion-percolation models to high-resolution data

Plain Text - 2.3 KB -

Documentation

text file with details of the codes and data provided in this dataset

Gasmat.rar

Jun 18, 2021 - Replication Data for: Overcoming the model-data-fit problem in porous media: A quantitative method to compare invasion-percolation models to high-resolution data

RAR Archive - 532.3 MB -

Data

3d matrices containing the gas path development in time along 3rd-dimension

GaussSmooth_test.m

Jun 18, 2021 - Replication Data for: Overcoming the model-data-fit problem in porous media: A quantitative method to compare invasion-percolation models to high-resolution data

Plain Text - 1.1 KB -

Code

code: Diffused Jaccard coefficient for a single image and its translation; helpful to understand the computation of Diffused Jaccard coefficient; calls "mygaussfilt.m"

Modelcounter_block.rar

Jun 18, 2021 - Replication Data for: Overcoming the model-data-fit problem in porous media: A quantitative method to compare invasion-percolation models to high-resolution data

RAR Archive - 2.9 MB -

Data

2d arrays, containing col1: loop counter number and col2: number of blocks invaded.

Moments.m

Jun 18, 2021 - Replication Data for: Overcoming the model-data-fit problem in porous media: A quantitative method to compare invasion-percolation models to high-resolution data

Plain Text - 962 B -

Code

code: Spatial moments (zeroth, first and second) computation of images in 2D space

mygaussfilt.m

Jun 18, 2021 - Replication Data for: Overcoming the model-data-fit problem in porous media: A quantitative method to compare invasion-percolation models to high-resolution data