timour_matlab/mscripts/meanpsb1.m

clear path 

global Nx Ny Nz
global lat long dz dm mdep
global delt_su su_its t_su delt
global descriptor this_path
global f deltaf Q beta r_expt r_heat H
global time rots it
global g Cp rho_bar alpha
global u v t w
global iterations


param_file_name =   ...
   input(' Please enter the name of the m-file with the parameters for this run : ','s') ;
feval(param_file_name) ;


iterations

itstart = input(' Please enter start iteration : ','s') 
itend = input(' Please enter end iteration : ','s') 


sizeit=size(iterations);
for i=1:sizeit(1)
iter(i)=eval(iterations(i,1:10));
end
nitstart=find(iter==eval(itstart))
nitend=find(iter==eval(itend))

path   = this_path 
cmdstr=['cd ' path ];
eval(cmdstr);
path=pwd

sum=zeros(Nx,Ny,Nz);
counter=0;

for i=nitstart:nitend
tfilename=(['T.' iterations((i),1:10) ]) ;
t=rdmds(tfilename,'b');
sum=sum+t;
counter=counter+1;
end
meant=sum/counter;

i=find(meant<20);
meant(i)=20;

sum=zeros(Nx,Ny);
for k=Nz:-1:1,
sum=sum+dz*0.0002*(meant(:,:,k)-20);
end


cmax=max(max(sum));
cmin=min(min(sum));
cc=cmax-cmin;
c1=cmin+0.25*cc;
c2=cmin+0.75*cc;
V=[cmin cmax];
figure
caxis('manual')

        title='mean density anomaly';
        imagesc(lat,long,sum(142:230,18:106)');shading flat;axis image;caxis(V);colorbar('vertical');
        set(gca,'ydir','norm')
        text(50,130,descriptor);text(50,-30,num2str(nitend-nitstart+1));text(80,-30,'files');
        text(0,130,title);
        text(0,-10,'from timestep');text(30,-10,num2str(itstart));
        text(70,-10,'to'); text(80,-10,num2str(itend));

hold on

contour(sum',[c1 c1],'b')

hold on

contour(sum',[c2 c2],'b')

hold off

NNN=Ny/2;
ii=find(sum(:,NNN)>c1);
iw1=ii(1)-1+(c1-sum(ii(1)-1,NNN))/(sum(ii(1),NNN)-sum(ii(1)-1,NNN))
% iii=size(ii);
% ie1=ii(iii(1))+0.5

ii=find(sum(:,NNN)>c2);
iw2=ii(1)-1+(c2-sum(ii(1)-1,NNN))/(sum(ii(1),NNN)-sum(ii(1)-1,NNN))
% iii=size(ii);
% ie2=ii(iii(1))+0.5
xi=iw2-iw1

1	clear path
2
3	global Nx Ny Nz
4	global lat long dz dm mdep
5	global delt_su su_its t_su delt
6	global descriptor this_path
7	global f deltaf Q beta r_expt r_heat H
8	global time rots it
9	global g Cp rho_bar alpha
10	global u v t w
11	global iterations
12
13
14	param_file_name = ...
15	input(' Please enter the name of the m-file with the parameters for this run : ','s') ;
16	feval(param_file_name) ;
17
18
19	iterations
20
21	itstart = input(' Please enter start iteration : ','s')
22	itend = input(' Please enter end iteration : ','s')
23
24
25	sizeit=size(iterations);
26	for i=1:sizeit(1)
27	iter(i)=eval(iterations(i,1:10));
28	end
29	nitstart=find(iter==eval(itstart))
30	nitend=find(iter==eval(itend))
31
32	path = this_path
33	cmdstr=['cd ' path ];
34	eval(cmdstr);
35	path=pwd
36
37	sum=zeros(Nx,Ny,Nz);
38	counter=0;
39
40	for i=nitstart:nitend
41	tfilename=(['T.' iterations((i),1:10) ]) ;
42	t=rdmds(tfilename,'b');
43	sum=sum+t;
44	counter=counter+1;
45	end
46	meant=sum/counter;
47
48	i=find(meant<20);
49	meant(i)=20;
50
51	sum=zeros(Nx,Ny);
52	for k=Nz:-1:1,
53	sum=sum+dz0.0002(meant(:,:,k)-20);
54	end
55
56
57	cmax=max(max(sum));
58	cmin=min(min(sum));
59	cc=cmax-cmin;
60	c1=cmin+0.25*cc;
61	c2=cmin+0.75*cc;
62	V=[cmin cmax];
63	figure
64	caxis('manual')
65
66	title='mean density anomaly';
67	imagesc(lat,long,sum(142:230,18:106)');shading flat;axis image;caxis(V);colorbar('vertical');
68	set(gca,'ydir','norm')
69	text(50,130,descriptor);text(50,-30,num2str(nitend-nitstart+1));text(80,-30,'files');
70	text(0,130,title);
71	text(0,-10,'from timestep');text(30,-10,num2str(itstart));
72	text(70,-10,'to'); text(80,-10,num2str(itend));
73
74	hold on
75
76	contour(sum',[c1 c1],'b')
77
78	hold on
79
80	contour(sum',[c2 c2],'b')
81
82	hold off
83
84	NNN=Ny/2;
85	ii=find(sum(:,NNN)>c1);
86	iw1=ii(1)-1+(c1-sum(ii(1)-1,NNN))/(sum(ii(1),NNN)-sum(ii(1)-1,NNN))
87	% iii=size(ii);
88	% ie1=ii(iii(1))+0.5
89
90	ii=find(sum(:,NNN)>c2);
91	iw2=ii(1)-1+(c2-sum(ii(1)-1,NNN))/(sum(ii(1),NNN)-sum(ii(1)-1,NNN))
92	% iii=size(ii);
93	% ie2=ii(iii(1))+0.5
94	xi=iw2-iw1
95