

Hi Liliana,
I came across your post from January in the user group about struggling to get an NSE above 0.5 for daily river flow. Since a few months have passed, I wanted to reach out and ask if you eventually figured it out and managed to improve your model's performance?
I am currently working on a similar watershed modeling project where my observation data is limited to discharge, and I am facing the exact same hurdle right now.
If you did manage to get a good NSE, I would love to know what your next steps were. How did you fix it? Did you end up correcting certain data inputs, trying a different calibration algorithm besides CALSI, or focusing on manual calibration first?
Any insights or lessons learned from your experience would save me a lot of time and be incredibly helpful. Thank you so much!
Best regards,
Nadya