[Dart-dev] DART/branches Revision: 12886

[dart at ucar.edu]

thoar at ucar.edu
2018-10-02 16:54:00 -0600 (Tue, 02 Oct 2018)
39
Mimicking the layout of the git repo.




Deleted: DART/branches/rma_wrfHydro/models/wrf_hydro/python/noise_qBucket_additive.py
===================================================================
--- DART/branches/rma_wrfHydro/models/wrf_hydro/python/noise_qBucket_additive.py	2018-10-02 22:48:43 UTC (rev 12885)
+++ DART/branches/rma_wrfHydro/models/wrf_hydro/python/noise_qBucket_additive.py	2018-10-02 22:54:00 UTC (rev 12886)
@@ -1,18 +0,0 @@
-import numpy as np
-
-def noise_model():
-
-    #######################################################
-    # Noise model for qBucket
-    ## 0) Additive noise,
-    ## 1) Zero-mean,
-    ## 2) Standard deviation is a fixed at .02
-    ## 3) min: Truncated below at min,
-    ## 4) size: number of samples,
-    ## 5) Closure takes a single value argument.
-    def close_trunc_gauss(min):
-        def the_closure(x):
-            return np.maximum(x+np.random.normal(0.0, .2, 1), min)
-        return the_closure
-
-    return np.vectorize(close_trunc_gauss(0))

Deleted: DART/branches/rma_wrfHydro/models/wrf_hydro/python/noise_qSfcLatRunoff_additive.py
===================================================================
--- DART/branches/rma_wrfHydro/models/wrf_hydro/python/noise_qSfcLatRunoff_additive.py	2018-10-02 22:48:43 UTC (rev 12885)
+++ DART/branches/rma_wrfHydro/models/wrf_hydro/python/noise_qSfcLatRunoff_additive.py	2018-10-02 22:54:00 UTC (rev 12886)
@@ -1,19 +0,0 @@
-import numpy as np
-
-def noise_model():
-
-    #######################################################
-    # Noise model for qSfcLatRunoff
-    # 0) Additive noise,
-    # 1) Zero-mean,
-    # 2) frac: Standard deviation is a fraction of the value,
-    # 3) min: Truncated below at min,
-    # 4) size: number of samples,
-    # 5) Closure takes a single value argument.
-
-    def close_trunc_gauss_sd_pct_value(frac, min):
-        def the_closure(x):
-            return np.maximum(x+np.random.normal(0.0, frac*x, 1), min)
-        return the_closure
-
-    return np.vectorize(close_trunc_gauss_sd_pct_value(.2, 0))

Copied: DART/branches/rma_wrfHydro/models/wrf_hydro/python/perturb/noise_qBucket_additive.py (from rev 12885, DART/branches/rma_wrfHydro/models/wrf_hydro/python/noise_qBucket_additive.py)
===================================================================
--- DART/branches/rma_wrfHydro/models/wrf_hydro/python/perturb/noise_qBucket_additive.py	                        (rev 0)
+++ DART/branches/rma_wrfHydro/models/wrf_hydro/python/perturb/noise_qBucket_additive.py	2018-10-02 22:54:00 UTC (rev 12886)
@@ -0,0 +1,18 @@
+import numpy as np
+
+def noise_model():
+
+    #######################################################
+    # Noise model for qBucket
+    ## 0) Additive noise,
+    ## 1) Zero-mean,
+    ## 2) Standard deviation is a fixed at .02
+    ## 3) min: Truncated below at min,
+    ## 4) size: number of samples,
+    ## 5) Closure takes a single value argument.
+    def close_trunc_gauss(min):
+        def the_closure(x):
+            return np.maximum(x+np.random.normal(0.0, .2, 1), min)
+        return the_closure
+
+    return np.vectorize(close_trunc_gauss(0))

Copied: DART/branches/rma_wrfHydro/models/wrf_hydro/python/perturb/noise_qSfcLatRunoff_additive.py (from rev 12885, DART/branches/rma_wrfHydro/models/wrf_hydro/python/noise_qSfcLatRunoff_additive.py)
===================================================================
--- DART/branches/rma_wrfHydro/models/wrf_hydro/python/perturb/noise_qSfcLatRunoff_additive.py	                        (rev 0)
+++ DART/branches/rma_wrfHydro/models/wrf_hydro/python/perturb/noise_qSfcLatRunoff_additive.py	2018-10-02 22:54:00 UTC (rev 12886)
@@ -0,0 +1,19 @@
+import numpy as np
+
+def noise_model():
+
+    #######################################################
+    # Noise model for qSfcLatRunoff
+    # 0) Additive noise,
+    # 1) Zero-mean,
+    # 2) frac: Standard deviation is a fraction of the value,
+    # 3) min: Truncated below at min,
+    # 4) size: number of samples,
+    # 5) Closure takes a single value argument.
+
+    def close_trunc_gauss_sd_pct_value(frac, min):
+        def the_closure(x):
+            return np.maximum(x+np.random.normal(0.0, frac*x, 1), min)
+        return the_closure
+
+    return np.vectorize(close_trunc_gauss_sd_pct_value(.2, 0))

Copied: DART/branches/rma_wrfHydro/models/wrf_hydro/python/perturb/perturb_channel_only_forcing.py (from rev 12885, DART/branches/rma_wrfHydro/models/wrf_hydro/python/perturb_channel_only_forcing.py)
===================================================================
--- DART/branches/rma_wrfHydro/models/wrf_hydro/python/perturb/perturb_channel_only_forcing.py	                        (rev 0)