However, fine tuning of the model parameters is still needed to get a good description of the final product quality.
In SSALT, the main method of estimating the model parameters is still the MLE [7, 75].
Cremezi confirmed that the model parameters are still quite sensitive, and interference generated by turbulence, may introduce significant differences with the experimental results.
As such, the task of clinical estimation of 1D model parameters may still be challenging, even if using the suggested lumping approach.
We can use Eq. 15 to assess how v* depends on the various model parameters, although we still need to establish whether v*+ or v*− is the solution that maximizes J in Eq. 14.
It is noted that the placebo model parameters generally should still be jointly estimated with drug effect parameters from all data to gain estimation efficiency.
Although we use all available data to parameterise the model, there are still many model parameters that are inherently unknown, mostly relating to the disease biology.
Still the available model parameters from this study are comprehensive and self-consistent.
Still, the optimal model parameters {a T,b T,σ H,G} show what might seem to be substantial variance between estimates for different storms, especially for the model top layer.
Still, when the model parameters were recalibrated by each individual satellite data, the performance of the streamflow simulations from the two near real-time satellite products were significantly improved, thus demonstrating the need for specific calibrations of the hydrological models for the near real-time satellite inputs.
