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jiheApril.m
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jiheApril.m
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%this program is for jiheuybao
clear all;
clc;
datadir='./Ensemble/129/'; %指定批量数据所在文件
filelist=dir([datadir,'*.nc']);
a=filelist(1).name;
b=filelist(2).name;
k=length(filelist);
%创建g500数据（g500(lat.73, lon.144, time.1960-2005, institution.6(E、I、M、U、C), referencr.3 02 05 11 )）
G_500=rand(73,144,46,6,4);
%E: ECWMF, I: IMF-GEOM,
%M: Meteo-France, U: UK_Met_Office,
%C: CMCC-Bologna
%创建G_02系列数据
G_02_E=rand(73,144,4);
G_02_I=rand(73,144,4);
G_02_M=rand(73,144,4);
G_02_U=rand(73,144,4);
G_02_C=rand(73,144,4);
G_02=rand(73,144,4);
%创建G_05系列数据
G_05_E=rand(73,144,4);
G_05_I=rand(73,144,4);
G_05_M=rand(73,144,4);
G_05_U=rand(73,144,4);
G_05_C=rand(73,144,4);
G_05=rand(73,144,4);
%创建G_08系列数据
G_08_E=rand(73,144,4);
G_08_I=rand(73,144,4);
G_08_M=rand(73,144,4);
G_08_U=rand(73,144,4);
G_08_C=rand(73,144,4);
G_08=rand(73,144,4);
%创建G_11系列数据
G_11_E=rand(73,144,4);
G_11_I=rand(73,144,4);
G_11_M=rand(73,144,4);
G_11_U=rand(73,144,4);
G_11_C=rand(73,144,4);
G_11=rand(73,144,4);
%读取G_02数据并做成员平均
for s=1:4:k-3
filename=[datadir,filelist(s).name];
filename;
ncid=netcdf.open(filename,'NC_NOWRITE');
LonData=ncread(filename,'longitude');
LatData=ncread(filename,'latitude');
TimeData=ncread(filename,'leadtime');
%读取ECWMF数据并平均
Gdata_E=ncread(filename,'g',[1 1 2 1 7],[144 73 1 9 1]);
%取相应模态的值 其中level=850(1), time=June(4)
G_E=reshape(Gdata_E,[144 73 9]);
G_E_1=flipud(rot90(mean(G_E,3)));%画图格式[73 144 time]
G_02_E(:,:,(s+3)/4)=G_E_1(:,:);%按照时间填入（应该是+3/4）
%读取IFM-GEOM数据并平均
Gdata_I=ncread(filename,'g',[1 1 2 10 7],[144 73 1 9 1]);
G_I=reshape(Gdata_I,[144 73 9]);
G_I_1=flipud(rot90(mean(G_I,3)));
G_02_I(:,:,(s+3)/4)=G_I_1(:,:);
%读取Meteo-France数据并平均
Gdata_M=ncread(filename,'g',[1 1 2 19 7],[144 73 1 9 1]);
G_M=reshape(Gdata_M,[144 73 9]);
G_M_1=flipud(rot90(mean(G_M,3)));
G_02_M(:,:,(s+3)/4)=G_M_1(:,:);
%读取UK_Met_Office数据并平均
Gdata_U=ncread(filename,'g',[1 1 2 28 7],[144 73 1 9 1]);
G_U=reshape(Gdata_U,[144 73 9]);
G_U_1=flipud(rot90(mean(G_U,3)));
G_02_U(:,:,(s+3)/4)=G_U_1(:,:);
%读取CMCC-Bologna数据并平均
Gdata_C=ncread(filename,'g',[1 1 2 37 7],[144 73 1 9 1]);
G_C=reshape(Gdata_C,[144 73 9]);
G_C_1=flipud(rot90(mean(G_C,3)));
G_02_C(:,:,(s+3)/4)=G_C_1(:,:);
%读取所有Ensemble数据
Gdata=ncread(filename,'g',[1 1 2 1 7],[144 73 1 45 1]);
G=reshape(Gdata,[144 73 45]);
G_1=flipud(rot90(mean(G,3)));
G_02(:,:,(s+3)/4)=G_1(:,:);
end
%读取G_05数据并做成员平均
for s=2:4:k-2
filename=[datadir,filelist(s).name];
ncid=netcdf.open(filename,'NC_NOWRITE');
LonData=ncread(filename,'longitude');
LatData=ncread(filename,'latitude');
TimeData=ncread(filename,'leadtime');
%读取ECWMF数据并平均
Gdata_E=ncread(filename,'g',[1 1 2 1 4 ],[144 73 1 9 1]);
%取相应模态的值 其中level=850(1), time=June(4)
G_E=reshape(Gdata_E,[144 73 9]);
G_E_1=flipud(rot90(mean(G_E,3)));%画图格式[73 144 time]
G_05_E(:,:,(s+2)/4)=G_E_1(:,:);%按照时间填入（应该是+3/4）
%读取IFM-GEOM数据并平均
Gdata_I=ncread(filename,'g',[1 1 2 10 4],[144 73 1 9 1]);
G_I=reshape(Gdata_I,[144 73 9]);
G_I_1=flipud(rot90(mean(G_I,3)));
G_05_I(:,:,(s+2)/4)=G_I_1(:,:);
%读取Meteo-France数据并平均
Gdata_M=ncread(filename,'g',[1 1 2 19 4],[144 73 1 9 1]);
G_M=reshape(Gdata_M,[144 73 9]);
G_M_1=flipud(rot90(mean(G_M,3)));
G_05_M(:,:,(s+2)/4)=G_M_1(:,:);
%读取UK_Met_Office数据并平均
Gdata_U=ncread(filename,'g',[1 1 2 28 4],[144 73 1 9 1]);
G_U=reshape(Gdata_U,[144 73 9]);
G_U_1=flipud(rot90(mean(G_U,3)));
G_05_U(:,:,(s+2)/4)=G_U_1(:,:);
%读取CMCC-Bologna数据并平均
Gdata_C=ncread(filename,'g',[1 1 2 37 4],[144 73 1 9 1]);
G_C=reshape(Gdata_C,[144 73 9]);
G_C_1=flipud(rot90(mean(G_C,3)));
G_05_C(:,:,(s+2)/4)=G_C_1(:,:);
%读取所有Ensemble数据
Gdata=ncread(filename,'g',[1 1 2 1 4],[144 73 1 45 1]);
G=reshape(Gdata,[144 73 45]);
G_1=flipud(rot90(mean(G,3)));
G_05(:,:,(s+2)/4)=G_1(:,:);
end
%读取G_08数据并做成员平均
for s=3:4:k-1
filename=[datadir,filelist(s).name];
ncid=netcdf.open(filename,'NC_NOWRITE');
LonData=ncread(filename,'longitude');
LatData=ncread(filename,'latitude');
TimeData=ncread(filename,'leadtime');
%读取ECWMF数据并平均
Gdata_E=ncread(filename,'g',[1 1 2 1 1],[144 73 1 9 1]);
%取相应模态的值 其中level=850(1), time=June(4)
G_E=reshape(Gdata_E,[144 73 9]);
G_E_1=flipud(rot90(mean(G_E,3)));%画图格式[73 144 time]
G_08_E(:,:,(s+1)/4)=G_E_1(:,:);%按照时间填入（应该是+3/4）
%读取IFM-GEOM数据并平均
Gdata_I=ncread(filename,'g',[1 1 2 10 1],[144 73 1 9 1]);
G_I=reshape(Gdata_I,[144 73 9]);
G_I_1=flipud(rot90(mean(G_I,3)));
G_08_I(:,:,(s+1)/4)=G_I_1(:,:);
%读取Meteo-France数据并平均
Gdata_M=ncread(filename,'g',[1 1 2 19 1],[144 73 1 9 1]);
G_M=reshape(Gdata_M,[144 73 9]);
G_M_1=flipud(rot90(mean(G_M,3)));
G_08_M(:,:,(s+1)/4)=G_M_1(:,:);
%读取UK_Met_Office数据并平均
Gdata_U=ncread(filename,'g',[1 1 2 28 1],[144 73 1 9 1]);
G_U=reshape(Gdata_U,[144 73 9]);
G_U_1=flipud(rot90(mean(G_U,3)));
G_08_U(:,:,(s+1)/4)=G_U_1(:,:);
%读取CMCC-Bologna数据并平均
Gdata_C=ncread(filename,'g',[1 1 2 37 1],[144 73 1 9 1]);
G_C=reshape(Gdata_C,[144 73 9]);
G_C_1=flipud(rot90(mean(G_C,3)));
G_08_C(:,:,(s+1)/4)=G_C_1(:,:);
%读取所有Ensemble数据
Gdata=ncread(filename,'g',[1 1 2 1 1],[144 73 1 45 1]);
G=reshape(Gdata,[144 73 45]);
G_1=flipud(rot90(mean(G,3)));
G_08(:,:,(s+1)/4)=G_1(:,:);
end
%读取G_11数据并做成员平均
for s=4:4:k
filename=[datadir,filelist(s).name];
ncid=netcdf.open(filename,'NC_NOWRITE');
LonData=ncread(filename,'longitude');
LatData=ncread(filename,'latitude');
TimeData=ncread(filename,'leadtime');
%读取ECWMF数据并平均
Gdata_E=ncread(filename,'g',[1 1 2 1 10],[144 73 1 9 1]);
%取相应模态的值 其中level=850(1), time=June(4)
G_E=reshape(Gdata_E,[144 73 9]);
G_E_1=flipud(rot90(mean(G_E,3)));%画图格式[73 144 time]
G_11_E(:,:,(s+0)/4)=G_E_1(:,:);%按照时间填入（应该是+3/4）
%读取IFM-GEOM数据并平均
Gdata_I=ncread(filename,'g',[1 1 2 10 10],[144 73 1 9 1]);
G_I=reshape(Gdata_I,[144 73 9]);
G_I_1=flipud(rot90(mean(G_I,3)));
G_11_I(:,:,(s+0)/4)=G_I_1(:,:);
%读取Meteo-France数据并平均
Gdata_M=ncread(filename,'g',[1 1 2 19 10],[144 73 1 9 1]);
G_M=reshape(Gdata_M,[144 73 9]);
G_M_1=flipud(rot90(mean(G_M,3)));
G_11_M(:,:,(s+0)/4)=G_M_1(:,:);
%读取UK_Met_Office数据并平均
Gdata_U=ncread(filename,'g',[1 1 2 28 10],[144 73 1 9 1]);
G_U=reshape(Gdata_U,[144 73 9]);
G_U_1=flipud(rot90(mean(G_U,3)));
G_11_U(:,:,(s+0)/4)=G_U_1(:,:);
%读取CMCC-Bologna数据并平均
Gdata_C=ncread(filename,'g',[1 1 2 37 10],[144 73 1 9 1]);
G_C=reshape(Gdata_C,[144 73 9]);
G_C_1=flipud(rot90(mean(G_C,3)));
G_11_C(:,:,(s+0)/4)=G_C_1(:,:);
%读取所有Ensemble数据
Gdata=ncread(filename,'g',[1 1 2 1 10],[144 73 1 45 1]);
G=reshape(Gdata,[144 73 45]);
G_1=flipud(rot90(mean(G,3)));
G_11(:,:,(s+0)/4)=G_1(:,:);
end
%创建6个成员的集合 Var_g850
%填充20数据
G_500(:,:,:,1,1)=G_02_E;
G_500(:,:,:,2,1)=G_02_I;
G_500(:,:,:,3,1)=G_02_M;
G_500(:,:,:,4,1)=G_02_U;
G_500(:,:,:,5,1)=G_02_C;
G_500(:,:,:,6,1)=G_02;
%填充05数据
G_500(:,:,:,1,2)=G_05_E;
G_500(:,:,:,2,2)=G_05_I;
G_500(:,:,:,3,2)=G_05_M;
G_500(:,:,:,4,2)=G_05_U;
G_500(:,:,:,5,2)=G_05_C;
G_500(:,:,:,6,2)=G_05;
%填充08数据
G_500(:,:,:,1,3)=G_08_E;
G_500(:,:,:,2,3)=G_08_I;
G_500(:,:,:,3,3)=G_08_M;
G_500(:,:,:,4,3)=G_08_U;
G_500(:,:,:,5,3)=G_08_C;
G_500(:,:,:,6,3)=G_08;
%填充11数据
G_500(:,:,:,1,4)=G_11_E;
G_500(:,:,:,2,4)=G_11_I;
G_500(:,:,:,3,4)=G_11_M;
G_500(:,:,:,4,4)=G_11_U;
G_500(:,:,:,5,4)=G_11_C;
G_500(:,:,:,6,4)=G_11;
ncid2=netcdf.create('./Ensemble/129EnsembleApril.nc','clobber');
% Create NetCDF file,输入文件名.
lon=netcdf.defDim(ncid2,'longitude',144);%定义维
lat=netcdf.defDim(ncid2,'latitude',73);
time=netcdf.defDim(ncid2,'time',46);
id=netcdf.defDim(ncid2,'institude',6);
ref=netcdf.defDim(ncid2,'reference',4);
g_500=netcdf.defVar(ncid2,'g500','double',[lat lon time id ref]);%定义变量
netcdf.endDef(ncid2);%关闭定义
netcdf.putVar(ncid2,g_500,G_500);%填值
netcdf.close(ncid2);
clear G_E G_I G_M G_U G_C ;
clear G_E_1 G_I_1 G_M_1 G_U_1 G_C_1 ;
clear Gdata_E Gdata_I Gdata_M Gdata_U Gdata_C;