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Part 1: Document Description
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Citation |
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Title: |
Regime-and-memory model (RMM) Code |
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Identification Number: |
doi:10.18419/darus-2034 |
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Distributor: |
DaRUS |
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Date of Distribution: |
2021-06-24 |
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Version: |
1 |
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Bibliographic Citation: |
Gonzalez-Nicolas Alvarez, Ana, 2021, "Regime-and-memory model (RMM) Code", https://doi.org/10.18419/darus-2034, DaRUS, V1 |
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Citation |
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Title: |
Regime-and-memory model (RMM) Code |
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Identification Number: |
doi:10.18419/darus-2034 |
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Authoring Entity: |
Gonzalez-Nicolas Alvarez, Ana (Universität Stuttgart) |
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Grant Number: |
SFB 1253/1 |
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Distributor: |
DaRUS |
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Access Authority: |
Gonzalez-Nicolas Alvarez, Ana |
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Access Authority: |
Nowak, Wolfgang |
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Depositor: |
Gonzalez-Nicolas Alvarez, Ana |
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Date of Deposit: |
2021-06-21 |
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Holdings Information: |
https://doi.org/10.18419/darus-2034 |
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Study Scope |
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Keywords: |
Earth and Environmental Sciences, concentration-discharge, catchment, hydrology, optimal design of experiments, event-based sampling strategies, high-frequency in situ analyzers, Markov chain Monte Carlo (MCMC), Bayesian inference |
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Abstract: |
<p>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 chemodynamic-type catchment behaviors, and it resembles the regression slope in plots of log(C)-log(Q).</p> </p>More information about the code can be found in the related publication Gonzalez-Nicolas et al. (2021) <a href="https://doi.org/10.3390/w13131723">https://doi.org/10.3390/w13131723</a></p> <p>This dataset includes Matlab codes and data used for the sampling strategies.<br/> Main file is "Main_MCMC_designs.m".<br/> Sampling strategies used within this manuscript are already designed. These are the files with extension "*.mat".</p> <p>File "data_Schwientek_et_al_2013.xls" includes all data between 7/01/2011 and 4/01/2012 (6604 observations).</p> <p>The following needs to be changed in the main file and adapted to each individual scenario:</p> %% READ OBSERVATIONS<br/> %% INPUT PARAMETERS<br/> %% PREPARE MCMC<br/> |
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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 Studies |
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Gonzalez-Nicolas Alvarez, Ana, 2021, "Sampling Strategies of the Regime-and-memory model (RMM)", <a href="https://doi.org/10.18419/darus-2035">https://doi.org/10.18419/darus-2035</a>, DaRUS |
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Related Publications |
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Citation |
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Title: |
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, 1723 |
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Identification Number: |
10.3390/w13131723 |
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Bibliographic Citation: |
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, 1723 |
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Label: |
License.txt |
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Notes: |
text/plain |
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Label: |
RMM_code.tar |
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Text: |
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) |
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Notes: |
application/x-tar |