--- /dev/null
+
+ASSIMILATION_STUDY(Study_name='Test',
+ Debug=0,
+ Algorithm='Blue',
+ Background=_F(INPUT_TYPE='Vector',
+ data=_F(FROM='String',
+ STRING='0 0 0',),),
+ BackgroundError=_F(INPUT_TYPE='Matrix',
+ data=_F(FROM='String',
+ STRING='1 0 0 ; 0 1 0 ; 0 0 1',),),
+ Observation=_F(INPUT_TYPE='Vector',
+ data=_F(FROM='String',
+ STRING='1 1 1',),),
+ ObservationError=_F(INPUT_TYPE='Matrix',
+ data=_F(FROM='String',
+ STRING='1 0 0 ; 0 1 0 ; 0 0 1',),),
+ ObservationOperator=_F(INPUT_TYPE='Matrix',
+ data=_F(FROM='String',
+ STRING='1 0 0 ; 0 1 0 ; 0 0 1',),),);
--- /dev/null
+
+ASSIMILATION_STUDY(Study_name='Test',
+ Debug=0,
+ Algorithm='3DVAR',
+ Background=_F(INPUT_TYPE='Vector',
+ data=_F(FROM='String',
+ STRING='0 0 0',),),
+ BackgroundError=_F(INPUT_TYPE='Matrix',
+ data=_F(FROM='String',
+ STRING='1 0 0 ; 0 1 0 ; 0 0 1',),),
+ Observation=_F(INPUT_TYPE='Vector',
+ data=_F(FROM='String',
+ STRING='1 1 1',),),
+ ObservationError=_F(INPUT_TYPE='Matrix',
+ data=_F(FROM='String',
+ STRING='1 0 0 ; 0 1 0 ; 0 0 1',),),
+ ObservationOperator=_F(INPUT_TYPE='Matrix',
+ data=_F(FROM='String',
+ STRING='1 0 0 ; 0 1 0 ; 0 0 1',),),);
--- /dev/null
+
+ASSIMILATION_STUDY(Study_name='Test',
+ Study_repertory='@prefix@/examples/daSalome',
+ Debug=0,
+ Algorithm='3DVAR',
+ Background=_F(INPUT_TYPE='Vector',
+ data=_F(FROM='Script',
+ SCRIPT_FILE='test003_ADAO_scripts_for_JDC.py',),),
+ BackgroundError=_F(INPUT_TYPE='Matrix',
+ data=_F(FROM='Script',
+ SCRIPT_FILE='test003_ADAO_scripts_for_JDC.py',),),
+ Observation=_F(INPUT_TYPE='Vector',
+ data=_F(FROM='Script',
+ SCRIPT_FILE='test003_ADAO_scripts_for_JDC.py',),),
+ ObservationError=_F(INPUT_TYPE='Matrix',
+ data=_F(FROM='Script',
+ SCRIPT_FILE='test003_ADAO_scripts_for_JDC.py',),),
+ ObservationOperator=_F(INPUT_TYPE='Matrix',
+ data=_F(FROM='Script',
+ SCRIPT_FILE='test003_ADAO_scripts_for_JDC.py',),),);
--- /dev/null
+#-*-coding:iso-8859-1-*-
+import numpy
+#
+# Definition of the Background as a vector
+# ----------------------------------------
+Background = [0, 0, 0]
+#
+# Definition of the Observation as a vector
+# -----------------------------------------
+Observation = "1 1 1"
+#
+# Definition of the Background Error covariance as a matrix
+# ---------------------------------------------------------
+BackgroundError = numpy.array([[1., 0., 0.], [0., 1., 0.], [0., 0., 1.]])
+#
+# Definition of the Observation Error covariance as a matrix
+# ----------------------------------------------------------
+ObservationError = numpy.matrix("1 0 0 ; 0 1 0 ; 0 0 1")
+#
+# Definition of the Observation Operator as a matrix
+# --------------------------------------------------
+ObservationOperator = numpy.identity(3)