해양-대기 분야의 자료 형식들

Binary(이진) data

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• 텍스트 파일: 인간 친화적 데이터
• 이진 파일: 컴퓨터 친화적 데이터
• NetCDF, Grib, HDF5 등 :
  이진 파일의 일종으로 컴퓨터 친화적이지만, 인간 친화적이기도 함
  

  

Binary format data 읽고 쓰기

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• Fortran: binary data 읽고 쓰기
  

  

• C: binary data 읽고 쓰기
  

  

• Python: binary data 읽고 쓰기
  

  

NetCDF 란?

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NetCDF 응용 프로그램들

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• CDAT (Climate Data Analysis Tool)
• CDO (Climate Data Operators)
• CSIRO MATLAB/netCDF interface
• FERRET
• GDAL (Geospatial Data Abstraction Library)
• GMT (Generic Mapping Tools)
• GrADS (Grid Analysis and Display System)
• HDF (Hierarchical Data Format) interface
• JSON format with the ncdump-json utility
• NCL (NCAR Command Language)
• NCO (NetCDF Operators)
• ncview
• OPeNDAP (formerly DODS)
• OpenDX (formerly IBM Data Explorer)
• Weather and Climate Toolkit (WCT)
• AVS
• IDL Interface
• MATLAB
• …, …, …

Sample NetCDF example

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netcdf simple_xy {
dimensions:
   x = 6 ;
   y = 12 ;
variables:
   int data(x, y) ;
data:
 data =
  0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11,
  12, 13, 14, 15, 16, 17, 18, 19, 20, 21, 22, 23,
  24, 25, 26, 27, 28, 29, 30, 31, 32, 33, 34, 35,
  36, 37, 38, 39, 40, 41, 42, 43, 44, 45, 46, 47,
  48, 49, 50, 51, 52, 53, 54, 55, 56, 57, 58, 59,
  60, 61, 62, 63, 64, 65, 66, 67, 68, 69, 70, 71 ;
}

• Fortran: Simple NetCDF example
  

  

• C: Simple NetCDF example
  

  

• Python: Simple NetCDF example
  

  

  from netCDF4 import Dataset
  
  NX = 6; NY = 12
  file_name = 'simple_xy.nc'
  
  with Dataset(file_name, 'w') as fout:
      fout.createDimension('x', NX)
      fout.createDimension('y', NY)
  
      data = fout.createVariable('data','f',('x','y'))
      for i in range(NX):
          for j in range(NY):
              data[i,j] = i * NY + j
  print("*** SUCCESS writing : %s"%file_name)

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