We describe the procedure for the consolidation of the daily metabolic rate estimates along with summary weather, reach and water derived data that may be used for the interpretation of the processes happening along the reach of interest.
Sections 1 and 2 of the R script define the working directory and read the file containing the time series of daily metabolic rate estimates for the study period (related variable: ´table1´). Section 3 converts to NAs the daily metabolic rates that are of bad quality. The considerations to do this are first, daily metabolic rate estimates for days in which the available number of DO or temperature data points were less than 65% of the maximum daily total (this criterion may be modified by the user) and second, daily outputs that reflect failure on model performance due to either reaeration rates much higher than metabolic processes or DO concentrations increasing during night time (these resulted in positive values of the estimated CR24 and/or negative values of GPP).
Section 4 reads the daily solar radiation and reference PAR estimates and together with the filtered metabolic rates conform the final results table (related variable: ´main1´). Next, in section 5, the script reads the daily averages of ancillary water data (turbidity and chlorophyll for our case) and appends them to the final results table (related variable: ´main 4´). In section 6 the script creates figures 2, 3, and 4 of the publication. Figure 2 presents stacked panels of time series of mean daily discharge, water temperature, and DO (daily maximum, minimum and range); figure 3 presents stacked panels of the daily metabolic estimates (GPP, CR24 and NDM) in the context of the flow dynamics of the reach; figure 4 presents the ancillary data that is expected to support the analysis of the daily metabolic rates within the reach (turbidity, chlorophyll and reference PAR). Finally, section 7 prints the final results table that contains all the daily variables for the period of analysis.
DOI: 10.6084/m9.figshare.3427892