Comments (1)
This can be a nice idea in general to use different clustering approaches for different variables. It totally makes sense NOT to weight aspect for precip, but weight it for radiation etc...
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Related Issues (20)
- Replacing multithreading with multicore computing whenever possible
- Adding support for timestep resolutino other than 1hr
- `point_id`, `cluster_labels` and `ID_col` are all confusing and create problem.
- Memory blowout on large domains HOT 15
- Wind direction and wind speed in NetCDF file result. HOT 1
- Xarray rasterio backend deprecation URGENT! HOT 3
- pd.date_range deprecated arg "closed" HOT 5
- requirement.yml HOT 2
- topo_da: getSamples_inModisPixel()
- topo_utils: FsmPlot() undefined variables HOT 2
- RuntimeError: NetCDF: Not a valid ID HOT 8
- Definition of point file HOT 4
- update Doc when adding config options HOT 6
- Issues after commit https://github.com/ArcticSnow/TopoPyScale/commit/5dc0f5772e47cc1b0b710d715658251190389620 HOT 20
- Not downscaling full time period HOT 3
- FSM output files indexing
- svf edge effect
- errors in to_fsm2oshd HOT 1
- AttributeError: 'Series' object has no attribute 'lat' HOT 4
- How to join output from all clusters into a single netcdf or tiff file? HOT 1
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