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此代码可实现自动化下载ERSSTv5数据,这是一款空间分辨率2°,时间跨度可追溯到1854年的SST数据,是计算nino指数的常用数据。
该数据似乎不支持ftp下载,故以此数据为例尝试了一下如何用matlab批量下载nc数据。如果再遇到类似的仅提供网页下载的数据,可尝试以此脚本为参考。
% automated download ERSSTv5 % Data path: https://www.ncei.noaa.gov/products/extended-reconstructed-sst % % Jia-Shun Wang % wjs@outlook.at % 2022/09/21 % % Reference: % Huang, B., Thorne, P.W., Banzon, V.F., Boyer, T., Chepurin, G., % Lawrimore, J.H., Menne, M.J., Smith, T.M., Vose, R.S., Zhang, H.-M., % 2017. Extended Reconstructed Sea Surface Temperature, % Version 5 (ERSSTv5): Upgrades, Validations, and Intercomparisons. % Journal of Climate 30, 8179–8205.https://doi.org/10.1175/JCLI-D-16-0836.1 clc;clear;close %% setting prefix='ersst.v5.'; suffix='.nc'; mkdir ../data ERSSTv5 %Create the output first output_path='data/ERSSTv5/'; input_path='https://www.ncei.noaa.gov/pub/data/cmb/ersst/v5/netcdf/'; start_year=double(string(datetime(1854,01,01,'Format','yyyy')));%1854.01 end_date=datetime('today'); this_year=double(string(datetime('today','Format','yyyy'))); this_month=double(string(datetime('today','Format','MM')));%ignore this month h=waitbar(0,'please wait'); end_year=this_year;% test %% judge if end_year==this_year bd=1; else bd=0; end total=(end_year-start_year+1-bd)*12+bd*this_month-1;%ignore this month %% implement tic for y=start_year:end_year if y~=this_year for m=1:12 filename=[prefix,char(datetime(y,m,1,'Format','yyyyMM')),suffix]; url=[input_path,filename]; websave([output_path,filename],url);% save it to the local disk. str=['Downloading...',num2str(((y-start_year)*12+m)/... total*100,'%4.2f'),'%']; waitbar(((y-start_year)*12+m)/total,h,str) end else for m=1:this_month-1 %ignore this month filename=[prefix,char(datetime(y,m,1,'Format','yyyyMM')),suffix]; url=[input_path,filename]; websave([output_path,filename],url);% save it to the local disk. str=['Downloading...',num2str(((y-start_year)*12+m)/... total*100,'%4.2f'),'%']; waitbar(((y-start_year)*12+m)/total,h,str) end end end fprintf(2,'Awesome!\n You have download all data.\n') toc
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