Regime-and-memory model (RMM) Code

DOI

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).

More information about the code can be found in the related publication Gonzalez-Nicolas et al. (2021) https://doi.org/10.3390/w13131723

This dataset includes Matlab codes and data used for the sampling strategies. Main file is "Main_MCMC_designs.m".

Sampling strategies used within this manuscript are already designed. These are the files with extension "*.mat".

File "data_Schwientek_et_al_2013.xls" includes all data between 7/01/2011 and 4/01/2012 (6604 observations).

The following needs to be changed in the main file and adapted to each individual scenario: %% READ OBSERVATIONS %% INPUT PARAMETERS %% PREPARE MCMC

Identifier
DOI https://doi.org/10.18419/darus-2034
Related Identifier https://doi.org/10.3390/w13131723
Metadata Access https://darus.uni-stuttgart.de/oai?verb=GetRecord&metadataPrefix=oai_datacite&identifier=doi:10.18419/darus-2034
Provenance
Creator Gonzalez-Nicolas Alvarez, Ana ORCID logo
Publisher DaRUS
Contributor Gonzalez-Nicolas Alvarez, Ana; Nowak, Wolfgang
Publication Year 2021
Funding Reference DFG SFB 1253/1
Rights BSD 3-Clause; info:eu-repo/semantics/openAccess; https://spdx.org/licenses/BSD-3-Clause.html
OpenAccess true
Contact Gonzalez-Nicolas Alvarez, Ana (Universität Stuttgart); Nowak, Wolfgang (Universität Stuttgart)
Representation
Resource Type Dataset
Format text/plain; application/x-tar
Size 1531; 633344
Version 1.0
Discipline Design; Earth and Environmental Science; Environmental Research; Fine Arts, Music, Theatre and Media Studies; Geosciences; Humanities; Natural Sciences