reset parameters

Author: Stephen Penny

README.md

@@ -1,16 +1,28 @@
 # DA_Tutorial
 
-This is a 'hands-on' tutorial for the RIKEN International School on Data Assimilation (RISDA2018).
-http://www.data-assimilation.riken.jp/risda2018/
+This is a 'hands-on' tutorial for the RIKEN International School on Data Assimilation (RISDA2018).  
+http://www.data-assimilation.riken.jp/risda2018/  
 
-This software package is based on routines developed for the publication:
+This software package is based on routines developed for the publication:  
 
-Mathematical foundations of hybrid data assimilation from a synchronization perspective
-Penny, S.G., Chaos 27, 126801 (2017); https://doi.org/10.1063/1.5001819
+Mathematical foundations of hybrid data assimilation from a synchronization perspective  
+Penny, S.G., Chaos 27, 126801 (2017); https://doi.org/10.1063/1.5001819  
 
-http://aip.scitation.org/doi/full/10.1063/1.5001819
+http://aip.scitation.org/doi/full/10.1063/1.5001819   
 
-Instructions:
-This package uses the anaconda python distribution and for plotting uses plotly.
+For any research conducted based on this software package, please cite this publication.  
+
+Instructions:  
+This package uses the anaconda python distribution and for plotting uses plotly.  
+
+Follow the guide tutorials:  
+tutorial_1.py  
+tutorial_2.py  
+...  
+
+Use the bash shell scripts to run a summary of each tutorial:  
+sh runall_tutorial_1.sh  
+sh runall_tutorial_2.sh <method1> <method2>   
+...  
 
 

analysis_init.py

@@ -85,11 +85,11 @@
 I = np.identity(xdim)
 
 # Set background error covariance
-sigma_b = 1.0 #1.0
+sigma_b = 1.0
 B = I * sigma_b**2
 
 # Set observation error covariance
-sigma_r = 0.1
+sigma_r = 1.0
 R = I * sigma_r**2
 
 # Set the linear observation operator matrix as the identity by default