Changeset 26674
- Timestamp:
- 11/28/21 05:24:15 (3 years ago)
- Location:
- issm/trunk-jpl
- Files:
-
- 2 edited
Legend:
- Unmodified
- Added
- Removed
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TabularUnified issm/trunk-jpl/src/m/classes/stochasticforcing.py ¶
r26673 r26674 135 135 136 136 # Scaling covariance matrix (scale column-by-column and row-by-row) 137 scaledfields = ['DefaultCalving', 137 scaledfields = ['DefaultCalving','FloatingMeltRate','SMBautoregression'] # list of fields that need scaling * 1/yts 138 138 tempcovariance = np.copy(self.covariance) 139 139 for i in range(num_fields): -
TabularUnified issm/trunk-jpl/test/NightlyRun/test543.py ¶
r26670 r26674 76 76 #Hard-coding covariance matrix because python is complaining 77 77 covglob = np.array([[1e-4,0.,0.,0.,0.,0.],[0.,1e-4,0.,0.,0.,0.],[0.,0.,1e-2,0.,0.,0.],[0.,0.,0.,1e-1,0.,0.],[0.,0.,0.,0.,0.05,0.],[0.,0.,0.,0.,0.,0.05]]) 78 testchol = np.linalg.cholesky(covglob)79 print(testchol)78 #testchol = np.linalg.cholesky(covglob) 79 #print(testchol) 80 80 81 81 # Stochastic forcing
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