Grib1 To Grib2 Converter Box

14.01.2021
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Grib1 To Grib2 Converter Box 3,6/5 2748 votes
  • Import iris cubes = iris.load('input.nc') # each variable in the netcdf file is a cube iris.save(cubes0,'output.grib2') # save a specific variable to grib But if your netcdf file doesn't contain sufficient metadata, you may need to add it, which you can also do with Iris. Here's a full working example.
  • GRIB is a WMO format for gridded data. GRIB is used by the operational meteorological centers for storage and the exchange of gridded fields. GRIB's major advantages are files are typically 1/2 to 1/3 of the size of normal binary files (floats), the fields are self describing, and GRIB is an open.
  • Grb1to2.pl - grib1 to grib2 converter Grb1to2.pl converts grib1 files to grib2. This perl script uses wgrib, wgrib2 and a few minor programs that are included with the wgrib2 package (gmerge, smallestgrib2). Here are some of the advantages of grb1to2.pl.
from ncepgrib2 import Grib2Decode

Captain america civil war download torrent piratebay. Note: Support for GRIB2 files was added in version 4.3.0. Copy entire file. Some things to note for both methods list below: NCL's assigned variable names may be long. Top software programs for mac. Coordinate variables will be added: gridlat6, gridlon6, gridlat101, gridlon101, etc. GRIB parameter information is added as attributes of the variables.

#get info about grib2 section specifications
print grb


center_wmo_code = kwbc
data_representation_template = [1131507924 -3 0 9 0 0 255]
discipline_code = 0
earthRminor = 6371229.0
grid_definition_template = [ 6 0 0 0 0 0 0 451 337 16281000 233862000 8 25000000 265000000 13545000 13545000 0 64 25000000 25000000 0 0]

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gridlength_in_x_direction = 13545.0

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has_local_use_section = False
identification_section = [ 7 0 2 1 1 2013 12 6 5 0 0 0 1]
longitude_first_gridpoint = 233.862
originating_center = US National Weather Service - NCEP (WMC)
points_in_y_direction = 337

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product_definition_template = [ 0 0 2 0 105 0 0 1 1 100 0 100000 255 0 0]
proj4_lat_0 = 25.0

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proj4_lat_2 = 25.0
proj4_proj = lcc
shape_of_earth = Spherical
These values are important describe how the file is encoded and can be very useful for encoding a grib2 file for the first time (using an existing grib2 file as an example). If you do not want to print out the entire summary, you can print out each encoding separately. For example:
print 'grid id section:',grb.identification_section
would result in:

Read grib/grib2 with PyNIO

Grib2
Reading grib/grib2 format data with PyNIO is very simple; it is exactly the same as reading netcdf data with PyNIO. The benefit of reading grib data with Nio versus using pygrib lies with the 'under-the-hood' capabilities of Nio that collect dimensions. That is, instead of reading one record/variable at a time as required by pygrib, Nio gathers all of those variables that have the same dimensions. For example, if you wanted the temperature for all pressure levels within a grib file, you would have to read in each temperature record at each level separately. With Nio, the levels would be gathered into one dimension