i have univariate time series data sets of water levels named as: observed data and simulated data .
i want to transform the simulated data in a way that it represents the variability and mean of the observation.
i.e. need to fix simulated data as may be like 95% variability and the mean of the obsrvation.
Or even better, how can i apply a transfer function that would transform the simulation into the observation?
i have joined them in a timetable. the data is attached as a mat file . first column is timestamp, second is observed data, and third column is simulated data.
please guide me how can i present the simulated /model performance?
what other measures should i consider for this ?
i have calculated RMSE,and nasch sutcliffe efficiency coefficient as well,(files of codes are attached). but its hard to interpret the results.
i need some guidance on this too.
looking forward for your guidance.