grib2json

[zzang0889]

For Linux? Windows also uses it possible?

In what ways do you use?

[wildtang]

It's Java Code, Can be use on both Linux and Windows.

[sujunbo]

你好，我可以请教下你是怎么处理GRIB2数据的吗？ 我能加下你QQ吗？ 本人QQ419513210

[zzang0889]

你好， if you use Java , use the netCDF library This is an example you can refer to. public float[][] TempMax0_0(String FilePath, String FileName) throws IOException, InvalidRangeException { int previous_index; int numTime = 1, numHeight = 1, numRow = 781, numCol = 602; int[] start = { 0, 0, 0, 0 }; int[] size = { numTime, numHeight, numRow, numCol }; // System.out.println(input_FileName); File f2 = new File(infol); String[] f_list_000 = f2.list(new FilenameFilter() { public boolean accept(File dir, String name) { // TODO Auto-generated method stub return name.endsWith(".gb2") && name.contains("h000"); } }); String[] f_list_001 = f2.list(new FilenameFilter() { public boolean accept(File dir, String name) { // TODO Auto-generated method stub return name.endsWith(".gb2") && name.contains("h001"); } }); String[] f_list_002 = f2.list(new FilenameFilter() { public boolean accept(File dir, String name) { // TODO Auto-generated method stub return name.endsWith(".gb2") && name.contains("h002"); } }); previous_index = Arrays.asList(f_list_000).indexOf(FileName); int next_index = previous_index + 1; // if (previous_index <= 11) { // return null; // } float[][] Max_Temp_000 = new float[781][602]; float[][] Current_Temp_000 = new float[781][602]; float[][] Max_Temp_001 = new float[781][602]; float[][] Current_Temp_001 = new float[781][602]; float[][] Max_Temp_002 = new float[781][602]; float[][] Current_Temp_002 = new float[781][602]; float[][] Next_Temp_000 = new float[781][602]; float[][] Next_Temp_001 = new float[781][602]; float[][] Next_Temp_002 = new float[781][602]; float[][] last_Max_Temp = new float[781][602]; NetcdfFile ncFile_000 = null; NetcdfFile ncFile_001 = null; NetcdfFile ncFile_002 = null; for (int k = 0; k <= 8; k++) { if (k <= 4) { System.out.println(FilePath + f_list_000[previous_index]); ncFile_000 = NetcdfFile.open(FilePath + f_list_000[previous_index]); ncFile_001 = NetcdfFile.open(FilePath + f_list_001[previous_index]); ncFile_002 = NetcdfFile.open(FilePath + f_list_002[previous_index]); previous_index--; } else { System.out.println(FilePath + f_list_000[next_index]); ncFile_000 = NetcdfFile.open(FilePath + f_list_000[next_index]); ncFile_001 = NetcdfFile.open(FilePath + f_list_001[next_index]); ncFile_002 = NetcdfFile.open(FilePath + f_list_002[next_index]); next_index++; } List<Variable> lst_000 = ncFile_000.getVariables(); Variable temp_var_000 = (Variable) lst_000.get(19); // SM Array temp_arr_000 = temp_var_000.read(start, size); // read(origin, // shape); List<Variable> lst_001 = ncFile_001.getVariables(); Variable temp_var_001 = (Variable) lst_001.get(19); // SM Array temp_arr_001 = temp_var_001.read(start, size); // read(origin, // shape); List<Variable> lst_002 = ncFile_002.getVariables(); Variable temp_var_002 = (Variable) lst_002.get(19); // SM Array temp_arr_002 = temp_var_002.read(start, size); // read(origin, // shape); Index idx = temp_arr_000.getIndex(); for (int i = 0; i < 781; i++) { for (int j = 0; j < 602; j++) { Next_Temp_000[i][j] = temp_arr_000.getFloat(idx.set(0, 0, i, j)); Next_Temp_001[i][j] = temp_arr_001.getFloat(idx.set(0, 0, i, j)); Next_Temp_002[i][j] = temp_arr_002.getFloat(idx.set(0, 0, i, j)); if (Float.isNaN(Next_Temp_000[i][j])) { // System.out.println("NaN"); } else { Max_Temp_000[i][j] = Math.max(Current_Temp_000[i][j], Next_Temp_000[i][j]); Current_Temp_000[i][j] = Max_Temp_000[i][j]; } if (Float.isNaN(Next_Temp_001[i][j])) { // System.out.println("NaN"); } else { Max_Temp_001[i][j] = Math.max(Current_Temp_001[i][j], Next_Temp_001[i][j]); Current_Temp_001[i][j] = Max_Temp_001[i][j]; } if (Float.isNaN(Next_Temp_002[i][j])) { // System.out.println("NaN"); } else { Max_Temp_002[i][j] = Math.max(Current_Temp_002[i][j], Next_Temp_002[i][j]); Current_Temp_002[i][j] = Max_Temp_002[i][j]; } last_Max_Temp[i][j] = threeMax(Max_Temp_000[i][j], Max_Temp_001[i][j], Max_Temp_002[i][j]); } } } ncFile_000.close(); ncFile_001.close(); ncFile_002.close(); System.out.println("-------------------------------------------------------------"); return last_Max_Temp; } 2018년 8월 21일 (화) 오후 12:09, 苏俊波 <notifications@github.com>님이 작성:

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