Comments (1)
Hi Pavane,
It seems something wrong in your forward model implementation. In pyPCGA, forward model implementation should follow a class format (see all example folders and forward model classes) in order to work correctly with data in parallel. You can contact me directly (my hawaii.edu email) with your implementation and I can help you to write a forward model class correctly.
By the way, given your covariance spectrum you may need 10-20 PCs to get a reasonable result. Do not need 50 PCs with spectral error 0.0001132 (between 0.001 and 0.05 would be enough in most applications).
Best,
Jonghyun Harry Lee
from pypcga.
Related Issues (12)
- add Red River Inset jupyter notebook HOT 1
- add post-processing notebook for red river inset example HOT 5
- Decide how we want to provide access to the adh executables? HOT 11
- link stwave example with ERDC stwave scripts HOT 3
- problem using linear trend in stwave example HOT 4
- problem with mf2005 file on Mac HOT 2
- Missing stwave_utils HOT 5
- Release on pypi ? HOT 1
- Wrong packaging as setup.py imports pyPCGA
- No mf.hds output file HOT 2
- [ENH] Get reproducible results with PCGA (set the initial vector used by scipy.sparse.linalg.eigsh ...) HOT 3
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