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! [; y v; v- C) T) Z( j2 MMetToolbox工具箱简介:
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' F% `- B8 x8 P2 u- n0 u! g# H( u1 风矢量图:( l; } W- K8 u. P1 k7 K5 w3 T
) G- }4 w ~3 l6 Y3 W. r3 V fclc;clear;close all; J) _2 z" J) o M$ ]
[x,y] = meshgrid(70:10:140,15:10:55);% _' R5 Q+ B- x0 {
u = cos(x).*y*10;' l7 v# N+ |! m6 I6 e
v = sin(x).*y*10;
/ z0 `+ }2 M% V" Tfigure(1);/ J+ I" N8 q8 ?- e5 k
% % m_proj('Equidistant Cylindrical','long',[70 140],'lat',[15 55]);
/ g5 ?6 n' s, _4 P% v- f% m_proj('lambert','lon',[70,140],'lat',[15,55]);. o! E" k7 e1 U& P& p
% ma=shaperead('F:/RMeteoInfo/data/map/bou2_4l.shp');
1 d& X; p0 x2 C7 X/ f( J( u% % m_line( [ma(:).X], [ma(:).Y],'color',[0.5,0.5,0.5]);%绘制范围内的地图7 Y8 M: L) W6 a: n9 j& V! v
% % m_line([ma(:).X],[ma(:).Y],'color','k');%绘制范围内的地图6 m C+ S- I) }8 T. d4 i
% m_plot([ma(:).X],[ma(:).Y],'color','k');%绘制范围内的地图
5 h# K4 i9 {7 E6 B% hold on
# H' l8 }1 f/ \0 a1 y1 ~h=quiver(x,y,u,v,0.5,'r-');
1 v! m1 `8 b4 ^4 Yhl=quiverlegend(h,10);% Z. E8 f; x* V( T- t1 ^
%设置x轴范围和刻度5 S, D4 V( F3 d4 n
set(gca,'XLim',[70 140]);%X轴的数据显示范围
7 M" r0 Y9 R! x! w+ \set(gca,'XTick',[70:10:140]);%设置要显示坐标刻度
! M9 m8 b! D( S; zset(gca,'XTickLabel',[70:10:140]);%给坐标加标签 * b3 g' j+ J) I9 @- |! W
%设置y轴范围和刻度! F- j& |: T, z, z9 B
set(gca,'YLim',[15 55]);%X轴的数据显示范围3 G* C; F" R8 V8 R
set(gca,'YTick',[15:10:55]);%设置要显示坐标刻度7 @6 Q; Z& H& A& f k/ f! @+ P! N
set(gca,'YTickLabel',[15:10:55]);%给坐标加标签, y; o5 w0 Z$ k M6 o2 Y
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* i& S8 ~# U! W9 y2 高版本m_map工具箱指南针&比例尺:
, l' b7 H+ e* A0 I* c+ D8 L2 ~5 h0 i6 f. `1 @* f
clc;clear;close all6 z2 ?: p5 W+ V
m_proj('miller','lat',[-77 77]); , v. ^7 M9 c" Q- h3 X: h( y! t# a
m_coast('patch',[.7 1 .7],'edgecolor','none'); R# t0 c1 ~ l2 G, C8 @
m_grid('box','fancy','linestyle','-','gridcolor','w','backcolor',[.2 .65 1]);/ g' V* F& ]5 ~' ?
m_ruler([.4 .9],.3,'tickdir','out','ticklen',[.007 .007]);. r& B2 a/ F- ~ m0 ], f& W1 [4 F9 n
% 需要更新m_map
H6 v( ~8 o% c" @2 {% m_northarrow(76,48,0.8,'type',4,'aspect',1.5);
' C9 L, { j3 E" Z& v7 Rm_northarrow(-125.4,49.7,.2,'type',2);
0 S' Q2 l7 e) s, H% northarrow(76,48,0.8,'type',4,'aspect',1.5);, n" {. E- N- Q
title('Great Circle Routes','fontsize',14,'fontweight','bold');
6 w$ ~8 C- N! T; Z2 E4 kset(gcf,'color','w'); % Need to do this otherwise 'print' turns the lakes black
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3 ]& t. o* d6 D, {/ e! e+ w$ G7 C
3 利用Map Toolbox不同投影全球地形的绘制: X* @7 T: ?$ s( f6 j9 `
* e# h& z, O( T+ O( r9 b( s( t* kclc;clear;close all6 [5 o0 J( l# Y8 L: i8 F; N# \
load etopo
6 l1 s6 _7 F" L1 G) Tload topo# ?. Z5 U ]1 h( W
figure(1);
! A3 X! u, i; Cctopo=topo(90:160,50:160);2 I4 u. ]/ o* o! u i; Y/ M
clegend=[1 70 50];$ x+ h0 S* b9 E7 W
worldmap(topo,topolegend);
- P; p2 i' L' M0 X6 y+ F. N/ omeshm(topo,topolegend);$ s* W2 S4 n; v! N' w
dEMCmap(topo)
, N( ^" C+ K' V& haxis off
& ~$ _9 @# ~( W, `setm(gca,'Origin',[0 105 0])
6 d4 J, ^* O7 ?* C% dptopo = topo; ptopo(topo<0) = 0;
( a; \" i# z1 C7 v4 p2 ?; fptopo = 100*ptopo/(6371*1000);2 D6 K: X- z1 o/ E, R9 \& s! \; Y2 s
figure(2);
# Q" t, b- Z& G& G' haxesm('MapProjection','ortho','Origin',[0 0 15])
( K9 @* z: {% u2 M$ \/ d4 i6 gmeshm(topo,topolegend,size(topo),topo/10000);
6 y. f1 D7 f9 ~. V% h- D' H, B$ ?. ushading interp6 V9 X+ O: s `, O
demcmap(topo)' _* Q2 F: {! I9 \+ ?
lightm(23.5,80,'Color',[1 1 0.2])4 e& H0 Z" P1 P/ P+ Q/ ^& d" q
material([.6 0.8 0]);
! \. h* d7 q, T9 tlighting phong. ^- D) @" l+ d; {1 `9 f# ~
axis off. |# ?; `9 g$ C* e I7 i
daspectm('km',20000) z5 z! @. P: R$ g* z% f
figure(3);6 [+ X" d0 w, {! R( u9 l
axesm('MapProjection','globe','Origin',[0 105 0])8 a* S' ^5 `5 c W0 @3 c0 j
meshm(topo,topolegend,size(topo),topo/100000); 5 j3 k3 j$ n5 A9 ` O
shading interp5 V* b! E. z; C2 U# Q7 t
% [lat,lon]=meshgrat(topo,topolegend);0 `3 f# O! I' z7 Q' P" M8 K' a
% suRFm(lat,lon,topo,ptopo)) ]/ `5 {0 H2 e7 c6 _ a% W0 Q
demcmap(topo)* _+ M1 g# S! i4 |$ b6 W
lightm(23.5,20,'Color','y'); y0 j ^$ f0 {9 v7 p3 t
material([.6 1 0]);, i. C8 p: z4 |' s5 c5 I
lighting phong3 `) p: S; K: w. h" l
axis off
, B5 v0 v4 \3 q% Kview([200 0])$ ~" M9 f5 k! w/ V/ Y0 V
z=topo;7 x/ n/ P3 c& V) u/ o4 m, `
figure(4);
9 [+ H; S4 }) q Y4 r2 o4 j# gsurf(z)$ O# V) j6 d6 \" M$ |
shading interp
" I7 [( ] c1 J% m4 {' @7 Cdemcmap(z)6 z8 a7 K" @: n+ w6 {
view([0 90])
- d! ^, Q2 ~# }, r4 Caxis off
5 u, C3 I5 V0 e+ v8 i6 Xlight('position',[1 180 1000],'color','w')! H7 x4 E7 p# T% I8 r8 Q6 w( J
material([0.6 1 0]);5 [# J; u7 ^+ Z3 @, R% ]
lighting phong
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4 利用uniteprv合并东北三省与内蒙四个区域& s" R5 F& x: Y5 b$ G! @
! \' @! k( p$ G) G3 o0 Pclc;clear;close all8 P4 x) |# b% I4 e9 g8 x; Y
load prvpatch;8 [! F* i' E0 I0 R) i$ N: S
figure
' H r# u0 V9 } ?' Q, p$ Thold on5 z1 F9 @, O# t1 n
wnprv={'内蒙','黑龙江','吉林','辽宁'};
9 s8 x, q; o* A: R8 Q- |5 y" bnw=1;
/ U8 U" M/ i! \6 Jfor i=1:387 K1 k8 P, c: {; F2 m
if any(cellfun(@(x) ~isempty(strmatch(x,s(i).tag)),wnprv)). T+ y. t7 a) }% P
disp([nw i])4 _" T3 k- V% X( s+ A
if nw==1/ m* n" K0 T; D- ^1 u6 c
long=s(i).long;( M0 u o& ~! s1 q. I# g
lat=s(i).lat;4 T6 e: T. I& B; e
else
9 t) Y6 I" j' q [long lat]=uniteprv(long,lat,s(i).long,s(i).lat);8 T. @) B" {1 _! r4 X$ \
end/ `5 N% i$ \- |: D
nw=nw+1;
+ B! ?$ t& S3 w% e4 g) g- h end
$ l' _, ~7 q5 @) Q! A+ ~2 R& `# ~ plot(s(i).long,s(i).lat)
" b' n/ Q/ r3 P: kend4 Y7 {# y2 }1 f% L
% [long lat]=pactpt(long,lat,0.1);
5 b2 t& x+ o, B1 Zpatch(long,lat,'m');
, A" I$ u1 M# Emapnorm;/ R: D4 c& b5 `! [
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( Z2 i: i& X6 n) N) l- |5 M, s% z6 Q2 |5 填充带条纹的等值线0 v8 n+ g# M; [/ p" l
% n- B8 z! i8 A, M
clc;clear;close all
* I, I- }! }# Q* N( [z=peaks;! x- M9 n" u6 ^ \8 |
x=1:size(z,2);
8 F( o8 X( c% d& ey=1:size(z,1);$ N( L- V9 g, t- o( v
cv=-8:2:8;
' `8 S9 G8 f7 ]cmap=cusjet(10);
% i1 B3 Z8 h. j% w5 cifirst=0;
0 K) ?) ?1 o' b, S9 c Pndelta=1;# J' k6 A/ X; i, N6 ~; \8 B, |+ f
iswbg=true;
: F1 y9 P. n# F6 ]bardir='horiz';- D0 p8 d/ n4 k+ |' d; {! p6 ^
% csty={'r.-',linewidth,markersize,linecolor,markeredgecolor,markerfacecolor};: ?4 E4 ?) N0 ^
% tex={ctex,nnl,ldir,csty}& F/ q6 X v2 P& e& N7 `/ Q
csty={'r.-'};
6 R' |) R& O2 E8 m* W7 vtex={-4,[100 80],1,{'r:'}; 2,[100 80],3,{'b-'}};: P m% i/ d3 h" _) \
figure M1 G" ]! W1 g9 D/ g: p
[C,h,hb]=freecontourf2(x,y,z,cv,cmap,ifirst,ndelta,iswbg,bardir,tex);
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6 空间插值&白化! {& f _+ A3 x# x; p+ w! H
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clc;clear;close all6 }' ]" [9 F) i0 E; X o
load('mdata/chnmon756.mat');
6 i$ S( M2 H. P' kidate=find(stat.date>=19881200&stat.date<=19981100);
) S* [4 ?/ A e i; M8 F- |/ kx=stat.long;
! r5 z1 R3 W! y+ G8 Ky=stat.lat;0 t% J, O1 s/ c; x" M4 q1 x
z=stat.prec(idate,:);5 _& w4 ]/ }2 P! C# t
z=mean(z)';%mm/day" I6 `/ m5 ^1 M& m% A S# W0 Z3 {
lo=[72:1:137];5 y: N7 `! c8 a! |
la=[15:1:55];
1 k' H% m; Z6 P1 K$ i5 d M[clo,cla]=chngon('g');4 S ?" Y0 g0 P. z4 m
[lo2 la2]=meshgrid(lo,la);
8 [" E+ C/ G7 k& W3 k9 _# [9 u9 ain=inpolygon(lo2,la2,clo,cla);
- Z9 G0 L, X% j+ fcv=[0.1 1:5];" u. H9 C* Q9 X1 O4 j* F, b6 o
% cv=[0:5];' X& m; v) M+ o) `
% cmap=nclcmap(142,numel(cv)+1);) J& f( {8 q& S" R2 S' C
load('colorbar-mat/rainbow.mat');0 h$ _8 Y: y8 Z" X" } n
cmap=rainbow;
7 J1 \+ A9 }! D. X/ Z- Nzi=cus_griddata(x,y,z,lo,la,'v4');
+ B( Y, `( v: I% qfigure
3 @% j' F+ O: R. [hold on( l$ ]% a/ C# u; x
% [C,h,hb]=freecontourf(lo,la,zi,cv,cmap,true);7 J& F0 i- ?9 p' d' W( c+ X8 [+ t/ a
[C,h,hb]=freecontourf(lo,la,zi,cv);
2 j' V6 H! n5 h" B" |+ @8 ?set(h,'edgecolor','none')$ \: p9 V. M. _3 N# k
set(h,'linew',2)
0 }( P' Q# ? e" X2 v3 zchnmask2(lo,la,'g')" F( w% o3 x5 ]" }3 Q4 \
hc=mapnorm(lo([1 end]),la([1 end]),false,false,true,true,true,0,[10 5],1,'g',2);) I$ r4 R0 \- z3 ]* G1 I
grid off0 ^5 h. V5 [2 h* U2 l
set(gcf,'pos',[89 200 520 445])
* T/ s, X) \( _; w4 h& W9 ]! ~9 Lset(gca,'pos',[0.0913 0.1504 0.8747 0.7730]);
7 V' ? r& y& T! q: c2 D& Sssaxes(4,0.14,[3 4 1.6 1.1 1.35 0.98],'nanhai2',2);
0 b, W6 o) L; Jset(gca,'linew',2);1 v8 D- a6 K$ @" b2 c5 { {
set(gca,'fontsize',14)
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7 WRF模拟嵌套区域绘制1 j& w7 g, I0 F
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clc;clear;close all
) @3 V) f- W) Zsi=[1, 107, 94, 47];
n% E( m9 ^ Ksj=[1, 47, 37, 122];
/ i4 P) {: A8 Q5 Unx=[179 169 151 145]; %nested grid number should be 3n+1
* Q) _- F, f& e0 l( s/ W/ jny=[161 199 157 151];
. d1 J1 G$ G5 k3 @4 B0 idxy=[30000 10000 3333.33 3333.33];
: p7 h' L7 |5 h, X4 d* h& Ngrat=[1 1/3 1/3 1/3];' E8 `3 o" \, H& G% v) K5 H5 @
pid=[1 1 2 2];5 e) d' c8 s) J0 }4 y: b
% param=[nx(1) ny(1) 100 35 30 60 36000];; k; `; f+ k2 ]% [# L
% param=[nx(1) ny(1) 105 35 (nx(1)+1)/2 (ny(1)+1)/2 30 60 115 dxy([1 1])];
) g2 y4 V1 ~5 \% Bparam=[nx(1) ny(1) 102 36.5 (nx(1)+1)/2 (ny(1)+1)/2 30 60 102 dxy([1 1])];; n$ C- J B( c8 u
[x y]=wrf_nestxy(si,sj,nx,ny,grat,pid);
# M7 S* T) W0 N- F' p3 k/ E/ Znb=10;; Y% y$ k6 v( }; n: J8 o$ Q: Q
nbb=nb*[1 1/3];
+ v4 v1 h. x# H0 G/ w, i1 gfigure,hold on, \8 C5 A* J% J. A% w4 P; @' t
maplam(param,false,false,true,true,true,0,[10 5],3,'h',2,':');0 r e6 y8 P3 q4 ~) O( i
for i=2:length(pid)
) p( H& k: g- I. p6 ^ [xx yy]=meshgrid(x{i},y{i});
) O2 ]: W- ?: v! o9 C xx2=[xx(1,:) xx(:,end)' xx(end,end:-1:1) xx(end:-1:1,1)'];: X( a% ~ }0 D) `
yy2=[yy(1,:) yy(:,end)' yy(end,end:-1:1) yy(end:-1:1,1)'];7 x. G/ U4 M+ \2 e! }& |
plot(xx2,yy2,'m','linew',2)
! v- z0 B* s u* L% h+ ^end
) J- J! _# |; }6 u0 [[xx yy]=meshgrid(x{1},y{1});9 I4 K1 a& ?$ t6 S& n4 N( k
xx2=[xx(1,1)+nbb(1) xx(1,end)'-nbb(1) xx(1,end)-nbb(1) xx(1,1)+nbb(1) xx(1,1)+nbb(1)];
0 W$ M! Y F8 ]+ b% [# f7 Xyy2=[yy(1,1)+nbb(1) yy(1,1)'+nbb(1) yy(end,1)-nbb(1) yy(end,1)-nbb(1) yy(1,1)+nbb(1)];
4 }; v( H, T8 ~4 M$ A0 C2 u! v* splot(xx2,yy2,'b','linew',2)
- T9 O5 v8 V, P$ Z! hload prvpatch1 f( Y; G* b3 Q' j/ A. ~$ Z/ W
[clong clat]=polyjoin({s(1:34).long},{s(1:34).lat});6 u2 a# T9 |! D: ?: P6 N
[cx cy]=deg2grd(clong,clat,param);3 s9 q" y. |: U! c/ a" X! G
plot(cx,cy,'k')" w& {) b8 Y! Y! ^8 c1 t; d
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) K* K( O$ f3 v0 `. ]; j8 Analysis of power spectrum9 S4 ?; Y9 o* F- f' x" |
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clc;clear;close all
6 t1 }$ O& [* n& G( \% Analysis of power spectrum$ K5 J7 A+ X7 P+ \2 Y% M
% load enso_sst.mat
/ o+ R) u( x& f9 f0 @( r Z, tzsim=xlsread('data2.xlsx');
7 n+ M: J& ^- d5 k8 ?zi=zsim(:,1);
0 G) g# `; b3 r4 ]- K0 @5 Wzi=zi-mean(zi); % must remove mean.) Y4 w( ~4 G& q k8 A3 P( X- k0 V5 @9 l
%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
; [/ }" ?6 P2 Q, g8 ?9 U$ ?%fft" |0 P9 y( o. ]7 O
Fs = 1; % Sampling frequency5 K/ a, Q6 [- N, y( [4 ]0 C8 p
T = 1/Fs; % Sample time
& ]- N# S) V/ N2 ?$ }L = length(zi); % Length of signal
3 z0 A+ K3 F3 a1 a2 s) Ot = (0:L-1)*T; % Time vector
* D% Q# p8 v* Q8 vy=zi;! }# _' Z$ r2 U3 _% t- R
figure,hold on' W- A5 V2 e6 a( L' S7 T
% NFFT = 2^nextpow2(L); % Next power of 2 from length of y
! p' B A. v" {3 w/ W$ c+ ?NFFT = L; % Next power of 2 from length of y# i/ t- Y: ?; b
Y = fft(y,NFFT);) J/ y# `$ }- u! Q+ E/ f
P=Y.*conj(Y)/NFFT; %power spectrum density% E1 [. o3 b7 [& S+ J
P=smooth(P,7);
4 C8 |6 B+ S' s4 tf=Fs/2*(0:NFFT/2-1)/(NFFT/2);
: y3 C; y1 a# H" T3 V7 {P=P(1:NFFT/2);+ W8 F7 B' d- R% G/ H: p! @
df=1/NFFT;
2 ^4 u; {! N, p6 N7 F0 O5 ?: }9 ssvar=(P(1)+P(end))*df/2+sum(P(2:end-1))*df;
3 |7 H/ i T4 Dsvar0=var(y);( Y. Y4 j' Q, |3 r! A3 n4 h4 d
P=P/svar*svar0;
* B2 P" M$ F3 q& C! ]; U% Plot single-sided amplitude spectrum.
4 N0 h4 d: d0 j( u6 [; Mplot(f,P,'r')- B- j7 N( E6 |3 F
title('Single-Sided Amplitude Spectrum of y(t)')
m+ z8 O) S9 F, H; E9 V$ d% \xlabel('Frequency (cycles/year)')
$ z5 [: B' V% _5 aylabel('Variance')" ?% _1 O) `" X4 J
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4 S2 z, A: Y1 \: `+ j# r$ d2 r( I( h7 D- A& C
: T r- H8 K2 t* ]( y9 Taylor图
/ t+ D n6 M1 }4 h8 }
* w9 s& t$ s' k1 F4 G( dclc;clear;close all
& H5 B% q7 Q, k' g; {% V" F; fzsim=xlsread('data2.xlsx');
, J4 @( R/ U8 E# u0 l0 G; P. }% Example for ploting taylor diagram# V. ~6 s% m9 m7 J# {1 T
lss={ 'o','v','s','^','p','o','v','s','^','p','o','v','s','^','p','o','v','s','^','p','o'};. Y' e+ t) G, m4 \7 W- j
lcc=[1.0000 0 0
! i; X& R- ]5 {/ U, @& } 0 0.8000 0
4 F; @& P( I, R }; B3 X 1.0000 0 05 I0 k' j8 P; g$ U) l& B4 B1 w
0 0.9000 0.9000) K ^" ~5 \3 Z2 W2 v" {) u+ }
1.0000 0 1.0000+ z8 A9 z0 c6 }" K, U1 b
1.0000 0.8000 00 s3 Q8 Q2 E) v P4 ]
1.0000 0 0
g5 {2 C( _" `9 m6 `# i2 M. ~* B 0 0.8000 0
7 E* C: h" r U9 k 0 0 1.0000
- t/ W, E8 r3 |9 g( E- T) Q 0 0.9000 0.90005 ]. n* ]6 Q& }5 Y
1.0000 0 1.0000
5 c$ ^0 z, S% u: ] 1.0000 0.8000 0
( ~2 p# G! @- p8 V1 I0 u4 l5 N 0 0 1.0000
* V+ o8 I% b, ?% W( C3 m5 h7 Q2 ^ 0 0.8000 0: Z! \& b: f! y4 w% s4 n
0 0 1.0000% ]3 N& E8 a" D% `4 c% N
0 0.9000 0.9000
+ x. Q& q I# ~" c6 ? 1.0000 0 1.0000: ?0 Y# `9 e6 j$ P
1.0000 0.8000 0
0 u4 ^$ s& |" e. o: B# ^! Z 1.0000 0 0
: @$ S/ y# r, Z; m$ A" \ 0 0.8000 0
* g7 D4 B( b) g8 R2 x, Q! u 0 0 1.0000];- R9 g* _ T) {* W z
zobs=zsim(:,1);
4 o0 ]9 j* F. m2 _9 i& Hzsim=zsim(:,1:end);& Y/ s7 O" g$ B1 G/ Q4 S
stag=cellstr(num2str((1:size(zsim,2))'));
4 D1 B4 M6 ^! ^3 w) R0 A" Jstdd=std(zsim)/std(zobs);# w, J9 M- k8 T
ccorr=corr(zobs,zsim);# M$ [& y7 i9 |% U2 a
z1=zobs-mean(zobs);, i) ^& ^- u7 p: b: T/ B4 ?
z2=zsim-mean(zsim);
+ e% {5 Z9 y' [3 C) k brmse=rms(z2-z1)/std(zobs);( b# n; d5 ^1 f9 y
rmse2=sqrt(stdd.*stdd-2*stdd.*ccorr+1);3 A0 g- e/ E5 L# N
[hp,hp_std,hp_rmse,ht_corr,ht_rmse,hl]=TaylorDiag(zobs,zsim,lcc,lss,stag);
4 M$ L5 `2 C! U4 l0 Gset(hp,'markersize',8);- |4 V/ l! y- ^
set(ht_rmse,'color','k');
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