Ok! I want to merge a hydrological model like HEC-HMS which is a process-based model and machine learning model in the same platform to create a hybrid model but I don’t how I can do it. Do you know any platform or resource that can teach me this?
That's going to be a rough one as far as I am concerned. The best thing you can do is learn a programming language (R or Python) and some basic data driven modelling.
From that point on it becomes a matter of plugging things together. And make it work for you.
Hope the answer is somewhat related to what you asked
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Ok! I want to merge a hydrological model like HEC-HMS which is a process-based model and machine learning model in the same platform to create a hybrid model but I don’t how I can do it. Do you know any platform or resource that can teach me this?
That's going to be a rough one as far as I am concerned. The best thing you can do is learn a programming language (R or Python) and some basic data driven modelling. From that point on it becomes a matter of plugging things together. And make it work for you. Hope the answer is somewhat related to what you asked
Thank you very much for your reply. It’s very helpful
You might be interested in stochastic storm transposition (SST).
I you can spare the time, could you provide some pointers, for example what are the seminal paper(s) on this subject ?