日志
下载的NECP再分析资料，需要将在CMIP5上面下载的NC文件统一分辨率
如下是写的代码，但是一直出错
未定义函数或变量 'xgv'。
出错 kc (line 26)
[X,Y] = ndgrid(xgv,ygv);
这是出错的反馈，请大家帮忙修改一下
数据格式如下：Source:
I:\NCEP\air_sig_995\air.sig995.1960.nc
Format:
netcdf4_classic
Global Attributes:
Conventions = 'COARDS'
title = 'mean daily NMC reanalysis (1960)'
description = 'Data is from NMC initialized reanalysis
(4x/day). These are the 0.9950 sigma level values.'
platform = 'Model'
history = 'created 97/10/04 by Hoop (netCDF2.3)
Converted to chunked, deflated non-packed NetCDF4 2014/09'
References = 'http://www.esrl.noaa.gov/psd/data/gridded/data.ncep.reanalysis.html'
dataset_title = 'NCEP-NCAR Reanalysis 1'
Dimensions:
lon = 144
lat = 73
time = 366 (UNLIMITED)
Variables:
lat
Size: 73x1
Dimensions: lat
Datatype: single
Attributes:
units = 'degrees_north'
actual_range = [90 -90]
long_name = 'Latitude'
standard_name = 'latitude'
axis = 'Y'
lon
Size: 144x1
Dimensions: lon
Datatype: single
Attributes:
units = 'degrees_east'
long_name = 'Longitude'
actual_range = [0 357.5]
standard_name = 'longitude'
axis = 'X'
time
Size: 366x1
Dimensions: time
Datatype: double
Attributes:
long_name = 'Time'
delta_t = '0000-00-01 00:00:00'
avg_period = '0000-00-01 00:00:00'
standard_name = 'time'
axis = 'T'
units = 'hours since 1800-01-01 00:00:0.0'
actual_range = [1402512 1411272]
air
Size: 144x73x366
Dimensions: lon,lat,time
Datatype: single
Attributes:
long_name = 'mean Daily Air temperature at sigma level 995'
units = 'degK'
precision = 2
least_significant_digit = 1
GRIB_id = 11
GRIB_name = 'TMP'
var_desc = 'Air temperature'
dataset = 'NCEP Reanalysis Daily Averages'
level_desc = 'Surface'
statistic = 'Mean'
parent_stat = 'Individual Obs'
missing_value = -9.969209968386869e+36
actual_range = [186.8 315.83]
valid_range = [185.16 331.16]
chakanbinaliangxinxi
Source:
I:\NCEP\air_sig_995\air.sig995.1960.nc
Format:
netcdf4_classic
Global Attributes:
Conventions = 'COARDS'
title = 'mean daily NMC reanalysis (1960)'
description = 'Data is from NMC initialized reanalysis
(4x/day). These are the 0.9950 sigma level values.'
platform = 'Model'
history = 'created 97/10/04 by Hoop (netCDF2.3)
Converted to chunked, deflated non-packed NetCDF4 2014/09'
References = 'http://www.esrl.noaa.gov/psd/data/gridded/data.ncep.reanalysis.html'
dataset_title = 'NCEP-NCAR Reanalysis 1'
Dimensions:
lon = 144
lat = 73
time = 366 (UNLIMITED)
Variables:
lat
Size: 73x1
Dimensions: lat
Datatype: single
Attributes:
units = 'degrees_north'
actual_range = [90 -90]
long_name = 'Latitude'
standard_name = 'latitude'
axis = 'Y'
lon
Size: 144x1
Dimensions: lon
Datatype: single
Attributes:
units = 'degrees_east'
long_name = 'Longitude'
actual_range = [0 357.5]
standard_name = 'longitude'
axis = 'X'
time
Size: 366x1
Dimensions: time
Datatype: double
Attributes:
long_name = 'Time'
delta_t = '0000-00-01 00:00:00'
avg_period = '0000-00-01 00:00:00'
standard_name = 'time'
axis = 'T'
units = 'hours since 1800-01-01 00:00:0.0'
actual_range = [1402512 1411272]
air
Size: 144x73x366
Dimensions: lon,lat,time
Datatype: single
Attributes:
long_name = 'mean Daily Air temperature at sigma level 995'
units = 'degK'
precision = 2
least_significant_digit = 1
GRIB_id = 11
GRIB_name = 'TMP'
var_desc = 'Air temperature'
dataset = 'NCEP Reanalysis Daily Averages'
level_desc = 'Surface'
statistic = 'Mean'
parent_stat = 'Individual Obs'
missing_value = -9.969209968386869e+36
actual_range = [186.8 315.83]
valid_range = [185.16 331.16]
以下是写的代码：
clc
clear all
inputpath='I:\NCEP\air_sig_995\';
outputpath='I:\NCEP\air_sig_995\';
%-------------------------------------------------------
input_netcdf=sprintf('%s%s',inputpath,'\*.nc');
inputfiles=dir(input_netcdf);
task_num=size(inputfiles,1);
PATH = dir('I:\NCEP\air_sig_995\');
data(366,30) =0;
for i=1:length(PATH)
i
currenttask=['I:\NCEP\air_sig_995\',PATH(i).name];
% air=ncread(currenttask,'air',[64 31 1], [1 1 inf]);
% fid=netcdf.open('I:\NCEP\air_sig_995\')
% gv=netcdf.inqVarID(currenttask,'lon');
% lon=netcdf.getVar(currenttask,gv,'single');
% ygv=netcdf.inqVarID(currenttask,'lat');
% lat=netcdf.getVar(currenttask,ygv,'single');
gv = 30:2.5:35;
ygv = 112.5:2.5:120;
[X,Y] = ndgrid(xgv,ygv);
V = air;
F = griddedInterpolant(X, Y, V, 'nearest');
xqgv = -49.975:0.05:49.975;
yqgv = -179.975:0.05:179.975;
[Xq,Yq] = ndgrid(xqgv,yqgv);
Vq = F(Xq, Yq);
end