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USGS-R / mda.lakes

Wisconsin Lake Modeling Aggregation
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ice model fails for >= 2013 #46

Open jordansread opened 9 years ago

jordansread commented 9 years ago

This is the empirical ice model, not GLM

jordansread commented 9 years ago

In regards to our discussion about assimilation of ice data for the model. Also, not sure why this would fail for 2013, since the driver data needed to model ice exist for us.

lawinslow commented 9 years ago

This fails because the ice model is run in a batch mode. Really, need to have this derive the ice info on the fly based on the met data. It's tough though, if you had a model with calibrated paramters, you could just use the met data you are grabbing for the lake.

But to generate the calibrated model, you need to grab met data for all lakes for which you have ice data and fit the regression. Something we can't do on the fly.

Where is my build-time-process step in R packaging??

jordansread commented 9 years ago

Yeah, ok. I understand the issue here. We need to converge on the 2 (or 3) different spheres of build processes for data prep.

jordansread commented 9 years ago

Maybe this minor issue should be closed and we should open up a broader issue that will deal w/ the general issue.

lawinslow commented 9 years ago

Leave this open. We should create a tag that groups the specific issues