Comments (2)
@sjordan29 and @ptomasula, I recently came across the xarray-simlab library that might be extremely helpful for us as a guide on how to structure our current and future modeling projects.
I'm particularly interested in fully understanding the concepts they describe in their Modeling Framework, which breaks down the three core classes (i.e. models, processes, variables) used in a modeling workflow. These seem very much in line from what I've been seeing with OGC API & PyGeoAPI.
In addition, xarray-simlab is being developed by some of the people connected to the Pangeo team and appears to adopt some really smart software engineering concepts. See https://xarray-simlab.readthedocs.io/en/latest/about.html#motivation.
from clearwater-riverine.
Reading RAS HDF data and writing model output has been re-factored. Closing this issue and transferring remaining IO refactoring (boundary and initial conditions) to #17.
from clearwater-riverine.
Related Issues (20)
- Unit Handling HOT 1
- Improve time stamp reader from the hdf5 file
- Mass Flux Bug at Downstream Boundary HOT 2
- Instantiating Clearwater-Riverine with a config file HOT 5
- Speed up calculation of the `SUM_OF_COEFFICIENTS_TO_DIFFUSION_TERM` HOT 3
- Develop class to handle multiple constituents
- Improve timestep performance
- Investigate impact of increasing time step length on mass balance HOT 1
- Speed up Binary Date Parsing
- Clean up LFS HOT 5
- Comparison of `EDGE_VELOCITY` versus `FLOW_ACROSS_FACE`
- Memory management improvements HOT 2
- Add wetted surface area to mesh
- Unit Testing
- Set up pre-commit
- reduce matrix size when there are dry cells
- Test 5, 10, 15 timestep for Larger Sumwere Creek HOT 20
- Track percent error in mass balance over time
- Assess ability to run coarser timestep model from fine timestep input
- Correcting HEC-RAS Boundary Errors
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from clearwater-riverine.