Error converting JRA55 (GRIB1) data to netcdf
Added by Lyndon Mark Olaguera almost 7 years ago
Dear CDO experts,
I am trying to convert JRA 55 reanalaysis grib files to netcdf using the following commands:
cdo -f nc2 copy ifile ofile.ncBut, I am getting the following errors:
cdo copy: Processed 1545120 values from 1 variable over 1 timestep ( 0.03s )
cgribexGetTsteptype : Time range indicator 123 unsupported, set to 0!Here are the details of CDO in my PC:
Climate Data Operators version 1.7.1 (http://mpimet.mpg.de/cdo)
Compiled: by Lyndz on localhost.localdomain (x86_64-unknown-linux-gnu) Jan 6 2017 12:33:09
Compiler: gcc -std=gnu99 -fPIC -fopenmp
version: gcc (GCC) 4.8.5 20150623 (Red Hat 4.8.5-11)
Features: DATA PTHREADS OpenMP HDF5 NC4/HDF5/threadsafe OPeNDAP Z SSE2
Libraries: HDF5/1.8.13
Filetypes: srv ext ieg grb grb2 nc nc2 nc4 nc4c
CDI library version : 1.7.1 of Jan 6 2017 12:32:52
CGRIBEX library version : 1.7.4 of Feb 19 2016 11:03:41
GRIB_API library version : 1.18.0
NetCDF library version : 4.4.1 of Nov 7 2016 11:24:50 $
HDF5 library version : 1.8.13
SERVICE library version : 1.4.0 of Jan 6 2017 12:32:49
EXTRA library version : 1.4.0 of Jan 6 2017 12:32:47
IEG library version : 1.4.0 of Jan 6 2017 12:32:48
FILE library version : 1.8.2 of Jan 6 2017 12:32:48
Any suggestion on how to fix this error?
Replies (2)
RE: Error converting JRA55 (GRIB1) data to netcdf - Added by Uwe Schulzweida almost 7 years ago
The CDO internal GRIB decoding library doesn't support the time range indicator 123. That means the timestamp of your data is possibly not handled correctly. So this is more a hint and not an error message. The data and all other parameter are correct. You can check the result with the CDO operators sinfon or infon.
RE: Error converting JRA55 (GRIB1) data to netcdf - Added by Lyndon Mark Olaguera almost 7 years ago
Thanks Sir Uwe for the reply.
I'll find another workaround solution to the timestamp problem.
cgribexGetTsteptype : Time range indicator 123 unsupported, set to 0!
-1 : Date Time Level Gridsize Miss : Minimum Mean Maximum : Parameter name
1 : 2017-05-01 00:00:00 100 41760 0 : 42273. 46837. 48631. : var7
2 : 2017-05-01 00:00:00 200 41760 0 : 37608. 41685. 43108. : var7
3 : 2017-05-01 00:00:00 300 41760 0 : 35068. 38789. 40028. : var7
4 : 2017-05-01 00:00:00 500 41760 0 : 31964. 35238. 36280. : var7
5 : 2017-05-01 00:00:00 700 41760 0 : 29979. 32967. 33900. : var7
6 : 2017-05-01 00:00:00 1000 41760 0 : 27923. 30603. 31426. : var7
7 : 2017-05-01 00:00:00 2000 41760 0 : 24029. 26128. 26766. : var7
8 : 2017-05-01 00:00:00 3000 41760 0 : 21768. 23560. 24089. : var7
9 : 2017-05-01 00:00:00 5000 41760 0 : 18898. 20369. 20733. : var7
10 : 2017-05-01 00:00:00 7000 41760 0 : 16973. 18295. 18721. : var7
11 : 2017-05-01 00:00:00 10000 41760 0 : 14889. 16116. 16698. : var7
12 : 2017-05-01 00:00:00 12500 41760 0 : 13561. 14745. 15414. : var7
13 : 2017-05-01 00:00:00 15000 41760 0 : 12462. 13610. 14330. : var7
14 : 2017-05-01 00:00:00 17500 41760 0 : 11520. 12639. 13377. : var7
15 : 2017-05-01 00:00:00 20000 41760 0 : 10698. 11789. 12521. : var7
16 : 2017-05-01 00:00:00 22500 41760 0 : 9969.8 11032. 11742. : var7
17 : 2017-05-01 00:00:00 25000 41760 0 : 9317.7 10346. 11026. : var7
18 : 2017-05-01 00:00:00 30000 41760 0 : 8183.9 9139.6 9744.4 : var7
19 : 2017-05-01 00:00:00 35000 41760 0 : 7210.0 8090.7 8621.0 : var7
20 : 2017-05-01 00:00:00 40000 41760 0 : 6345.2 7155.1 7620.7 : var7
21 : 2017-05-01 00:00:00 45000 41760 0 : 5560.6 6308.8 6722.6 : var7
22 : 2017-05-01 00:00:00 50000 41760 0 : 4840.2 5535.1 5908.7 : var7
23 : 2017-05-01 00:00:00 55000 41760 0 : 4176.0 4821.2 5163.2 : var7
24 : 2017-05-01 00:00:00 60000 41760 0 : 3558.2 4158.7 4468.9 : var7
25 : 2017-05-01 00:00:00 65000 41760 0 : 2980.5 3541.0 3817.0 : var7
26 : 2017-05-01 00:00:00 70000 41760 0 : 2438.2 2962.3 3201.2 : var7
27 : 2017-05-01 00:00:00 75000 41760 0 : 1926.8 2417.6 2622.1 : var7
28 : 2017-05-01 00:00:00 77500 41760 0 : 1681.7 2156.9 2351.2 : var7
29 : 2017-05-01 00:00:00 80000 41760 0 : 1443.5 1903.2 2087.5 : var7
30 : 2017-05-01 00:00:00 82500 41760 0 : 1211.6 1656.4 1831.1 : var7
31 : 2017-05-01 00:00:00 85000 41760 0 : 985.84 1416.1 1582.3 : var7
32 : 2017-05-01 00:00:00 87500 41760 0 : 765.94 1181.9 1340.2 : var7
33 : 2017-05-01 00:00:00 90000 41760 0 : 551.36 953.58 1104.6 : var7
34 : 2017-05-01 00:00:00 92500 41760 0 : 339.10 730.72 874.35 : var7
35 : 2017-05-01 00:00:00 95000 41760 0 : 129.67 512.99 649.67 : var7
36 : 2017-05-01 00:00:00 97500 41760 0 : -75.629 300.02 445.87 : var7
37 : 2017-05-01 00:00:00 100000 41760 0 : -276.82 91.394 268.43 : var7
cdo infon: Processed 1545120 values from 1 variable over 1 timestep ( 0.04s )