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Just starting to put this together with an eye towards identifying the most important items to tackle during break when we have a good deal of analyst support. Julia and Megan will be available for weekday work from January 4-13 prior to the resumption of classes. See also 2022 HARP project work plan
Decide on recurring check-in time period for each day or every couple days
Project accomplishment summary: this is going to be composed in part by the watershed summary tools, but we should also think about tying the project together with some documentation. HARP 2022-2023 End of Project Summary #923
Also related to "Summary docs" above.
Meta-Model integration
Make sure that all model run records in vahydro have a property that points to the output CSV files (both daily and hourly)
Runtime testing, scripts, commands, etc.
Stream gage "runs" are models too - create and save a weighted flow CSV, with same expected column headers so they can be run in the same analysis routines.
Deploy operational model
DEQ will be the lead on the model "loader", i.e., the process that takes JSON object feeds from VAHydro and turns them into model components in HSP2 hdf5 file
We may have many of the components already developed, but if someone is into the coding aspect and wants to pitch in that is certainly a possibility.
Model automated testing, validation
Uses all of the above.
Automated testing: to run to check new model deployments as well as model infrastructure updates.
Automated testing notes
Case testing vs functional testing
One would be “is our water balance sound?” we have inflow, outflow, discharge, and demand -> do those all add up at expected?
Just starting to put this together with an eye towards identifying the most important items to tackle during break when we have a good deal of analyst support. Julia and Megan will be available for weekday work from January 4-13 prior to the resumption of classes. See also 2022 HARP project work plan
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