Sampling Strategies of the Regime-and-memory model (RMM)https://doi.org/10.18419/darus-2035Gonzalez-Nicolas Alvarez, AnaDaRUS2021-06-242021-06-24T12:50:14ZThis excel file includes the observation time, Q, concentration, and lag-time used by the sampling strategies.
Types of sampling strategies:
<ul>
<li>Time frequency sampling strategies. </li>
<li>River discharge frequency sampling strategies. </li>
<li>Low Q sampling strategies.</li>
<li>High Q sampling strategies. </li>
<li>Low and High Q sampling strategies.</li>
</ul>Earth and Environmental Sciencescocentration-dischargehydrologycatchmentoptimal design of experimentsevent-based sampling strategieshigh-frequency in situ analyzersMarkov chain Monte Carlo (MCMC)Bayesian inferenceEnglishGonzalez-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, doi, 10.3390/w13131723, https://doi.org/10.3390/w131317232021-06-24Gonzalez-Nicolas Alvarez, Ana2021-06-21Gonzalez-Nicolas Alvarez, Ana, 2021, "Regime-and-memory model (RMM) Code", <a href="https://doi.org/10.18419/darus-2034">https://doi.org/10.18419/darus-2034</a>, DaRUSCC BY 4.0