📃 Inventory

Ideally, GRIB2 files have a companion “index” file that are a plain ASCII text file that provides some details about the contents of each file (i.e., what each GRIB message contains). These files can tell you the variable represented in the GRIB message, the level, forecast lead time, and the starting byte range in the file.

There are two “flavors” of index files, wgrib-style and eccodes-style.

NCEP models provide the wgrib-style index files while ECMWF models provide the eccodes-style index file.

Herbie provides a parser to read the index file into a Pandas DataFrame and calls it the file’s inventory.

Let’s start by looking at the inventory for a HRRR file.

from herbie import Herbie

H = Herbie("2024-01-01", model="hrrr")
H

✅ Found ┊ model=hrrr ┊ product=sfc ┊ 2024-Jan-01 00:00 UTC F00 ┊ GRIB2 @ aws ┊ IDX @ aws

▌▌Herbie HRRR model sfc product initialized 2024-Jan-01 00:00 UTC F00 ┊ source=aws

The path of the relevant index file is given by H.idx. You can go to that URL and see what the raw index file looks like.

H.idx

'https://noaa-hrrr-bdp-pds.s3.amazonaws.com/hrrr.20240101/conus/hrrr.t00z.wrfsfcf00.grib2.idx'

Herbie parses the raw index file as a Pandas DataFrame using H.inventory()

H.inventory()

	grib_message	start_byte	end_byte	range	reference_time	valid_time	variable	level	forecast_time	search_this
0	1	0	202809.0	0-202809	2024-01-01	2024-01-01	REFC	entire atmosphere	anl	:REFC:entire atmosphere:anl
1	2	202810	246792.0	202810-246792	2024-01-01	2024-01-01	RETOP	cloud top	anl	:RETOP:cloud top:anl
2	3	246793	496145.0	246793-496145	2024-01-01	2024-01-01	var discipline=0 center=7 local_table=1 parmca...	entire atmosphere	anl	:var discipline=0 center=7 local_table=1 parmc...
3	4	496146	649032.0	496146-649032	2024-01-01	2024-01-01	VIL	entire atmosphere	anl	:VIL:entire atmosphere:anl
4	5	649033	2038336.0	649033-2038336	2024-01-01	2024-01-01	VIS	surface	anl	:VIS:surface:anl
...	...	...	...	...	...	...	...	...	...	...
165	166	126776108	126785469.0	126776108-126785469	2024-01-01	2024-01-01	ICEC	surface	anl	:ICEC:surface:anl
166	167	126785470	128189723.0	126785470-128189723	2024-01-01	2024-01-01	SBT123	top of atmosphere	anl	:SBT123:top of atmosphere:anl
167	168	128189724	130514441.0	128189724-130514441	2024-01-01	2024-01-01	SBT124	top of atmosphere	anl	:SBT124:top of atmosphere:anl
168	169	130514442	131785130.0	130514442-131785130	2024-01-01	2024-01-01	SBT113	top of atmosphere	anl	:SBT113:top of atmosphere:anl
169	170	131785131	NaN	131785131-	2024-01-01	2024-01-01	SBT114	top of atmosphere	anl	:SBT114:top of atmosphere:anl

170 rows × 10 columns

Notice the search_this column; that is a column that Herbie can do regular expression searches to filter the GRIB messages you want. For example, if you want all the variables at 500 mb…

H.inventory(":500 mb")

	grib_message	start_byte	end_byte	range	reference_time	valid_time	variable	level	forecast_time	search_this
13	14	6299332	7003497.0	6299332-7003497	2024-01-01	2024-01-01	HGT	500 mb	anl	:HGT:500 mb:anl
14	15	7003498	7550668.0	7003498-7550668	2024-01-01	2024-01-01	TMP	500 mb	anl	:TMP:500 mb:anl
15	16	7550669	8417238.0	7550669-8417238	2024-01-01	2024-01-01	DPT	500 mb	anl	:DPT:500 mb:anl
16	17	8417239	8997799.0	8417239-8997799	2024-01-01	2024-01-01	UGRD	500 mb	anl	:UGRD:500 mb:anl
17	18	8997800	9584981.0	8997800-9584981	2024-01-01	2024-01-01	VGRD	500 mb	anl	:VGRD:500 mb:anl

Notice that only the rows that contain 500 mb are selected. This is useful when you want to download a subset of variables from the GRIB file. Notice the range column which tells us the byte range of each variable in the file. Herbie will use this byte range when you request downloading only the selected variables or opening it in xarray.

H.download(":500 mb", verbose=True, overwrite=True)

📇 Download subset: ▌▌Herbie HRRR model sfc product initialized 2024-Jan-01 00:00 UTC F00 ┊ source=aws
 cURL from https://noaa-hrrr-bdp-pds.s3.amazonaws.com/hrrr.20240101/conus/hrrr.t00z.wrfsfcf00.grib2
Found 5 grib messages.
Download subset group 1
  14  :HGT:500 mb:anl
  15  :TMP:500 mb:anl
  16  :DPT:500 mb:anl
  17  :UGRD:500 mb:anl
  18  :VGRD:500 mb:anl
curl -s --range 6299332-9584981 "https://noaa-hrrr-bdp-pds.s3.amazonaws.com/hrrr.20240101/conus/hrrr.t00z.wrfsfcf00.grib2" > "/home/blaylock/data/hrrr/20240101/subset_6befbe61__hrrr.t00z.wrfsfcf00.grib2"
💾 Saved the subset to /home/blaylock/data/hrrr/20240101/subset_6befbe61__hrrr.t00z.wrfsfcf00.grib2

PosixPath('/home/blaylock/data/hrrr/20240101/subset_6befbe61__hrrr.t00z.wrfsfcf00.grib2')

H.xarray(":500 mb")

/home/blaylock/GITHUB/Herbie/herbie/core.py:1088: UserWarning: Will not remove GRIB file because it previously existed.
  warnings.warn("Will not remove GRIB file because it previously existed.")

<xarray.Dataset>
Dimensions:              (y: 1059, x: 1799)
Coordinates:
    time                 datetime64[ns] 2024-01-01
    step                 timedelta64[ns] 00:00:00
    isobaricInhPa        float64 500.0
    latitude             (y, x) float64 21.14 21.15 21.15 ... 47.86 47.85 47.84
    longitude            (y, x) float64 237.3 237.3 237.3 ... 299.0 299.0 299.1
    valid_time           datetime64[ns] 2024-01-01
Dimensions without coordinates: y, x
Data variables:
    t                    (y, x) float32 ...
    u                    (y, x) float32 ...
    v                    (y, x) float32 ...
    gh                   (y, x) float32 ...
    dpt                  (y, x) float32 ...
    gribfile_projection  object None
Attributes:
    GRIB_edition:            2
    GRIB_centre:             kwbc
    GRIB_centreDescription:  US National Weather Service - NCEP
    GRIB_subCentre:          0
    Conventions:             CF-1.7
    institution:             US National Weather Service - NCEP
    model:                   hrrr
    product:                 sfc
    description:             High-Resolution Rapid Refresh - CONUS
    remote_grib:             https://noaa-hrrr-bdp-pds.s3.amazonaws.com/hrrr....
    local_grib:              /home/blaylock/data/hrrr/20240101/subset_6befbe6...
    search:            :500 mb

xarray.Dataset

• Dimensions:
  • y: 1059
  • x: 1799
• Coordinates: (6)
  • time
    ()
    datetime64[ns]
    2024-01-01

    long_name :

    initial time of forecast

    standard_name :

    forecast_reference_time

    array('2024-01-01T00:00:00.000000000', dtype='datetime64[ns]')

  • step
    ()
    timedelta64[ns]
    00:00:00

    long_name :

    time since forecast_reference_time

    standard_name :

    forecast_period

    array(0, dtype='timedelta64[ns]')

  • isobaricInhPa
    ()
    float64
    500.0

    long_name :

    pressure

    units :

    hPa

    positive :

    down

    stored_direction :

    decreasing

    standard_name :

    air_pressure

    array(500.)

  • latitude
    (y, x)
    float64
    21.14 21.15 21.15 ... 47.85 47.84

    units :

    degrees_north

    standard_name :

    latitude

    long_name :

    latitude

    array([[21.138123  , 21.14511004, 21.1520901 , ..., 21.1545089 ,
            21.14753125, 21.14054663],
           [21.16299459, 21.1699845 , 21.17696744, ..., 21.17938723,
            21.1724067 , 21.16541921],
           [21.18786863, 21.19486142, 21.20184723, ..., 21.20426802,
            21.19728462, 21.19029425],
           ...,
           [47.78955926, 47.799849  , 47.81012868, ..., 47.81369093,
            47.80341474, 47.79312849],
           [47.81409316, 47.82438621, 47.8346692 , ..., 47.83823259,
            47.8279531 , 47.81766354],
           [47.8386235 , 47.84891986, 47.85920615, ..., 47.86277069,
            47.85248789, 47.84219502]])

  • longitude
    (y, x)
    float64
    237.3 237.3 237.3 ... 299.0 299.1

    units :

    degrees_east

    standard_name :

    longitude

    long_name :

    longitude

    array([[237.280472  , 237.30713868, 237.3338097 , ..., 287.6569408 ,
            287.68361332, 287.71028151],
           [237.27297501, 237.29964881, 237.32632695, ..., 287.66442108,
            287.69110073, 287.71777603],
           [237.26547368, 237.2921546 , 237.31883986, ..., 287.6719057 ,
            287.69859247, 287.7252749 ],
           ...,
           [225.9351904 , 225.97171577, 226.00825329, ..., 298.97907406,
            299.0156158 , 299.05214538],
           [225.91986142, 225.95639874, 225.99294822, ..., 298.99437498,
            299.03092868, 299.06747022],
           [225.90452027, 225.94106954, 225.97763099, ..., 299.00968806,
            299.04625373, 299.08280723]])

  • valid_time
    ()
    datetime64[ns]
    2024-01-01

    standard_name :

    time

    long_name :

    time

    array('2024-01-01T00:00:00.000000000', dtype='datetime64[ns]')

• Data variables: (6)
  • t
    (y, x)
    float32
    ...

    GRIB_paramId :

    130

    GRIB_dataType :

    fc

    GRIB_numberOfPoints :

    1905141

    GRIB_typeOfLevel :

    isobaricInhPa

    GRIB_stepUnits :

    1

    GRIB_stepType :

    instant

    GRIB_gridType :

    lambert

    GRIB_DxInMetres :

    3000.0

    GRIB_DyInMetres :

    3000.0

    GRIB_LaDInDegrees :

    38.5

    GRIB_Latin1InDegrees :

    38.5

    GRIB_Latin2InDegrees :

    38.5

    GRIB_LoVInDegrees :

    262.5

    GRIB_NV :

    0

    GRIB_Nx :

    1799

    GRIB_Ny :

    1059

    GRIB_cfName :

    air_temperature

    GRIB_cfVarName :

    t

    GRIB_gridDefinitionDescription :

    Lambert Conformal can be secant or tangent, conical or bipolar

    GRIB_iScansNegatively :

    0

    GRIB_jPointsAreConsecutive :

    0

    GRIB_jScansPositively :

    1

    GRIB_latitudeOfFirstGridPointInDegrees :

    21.138123

    GRIB_latitudeOfSouthernPoleInDegrees :

    0.0

    GRIB_longitudeOfFirstGridPointInDegrees :

    237.280472

    GRIB_longitudeOfSouthernPoleInDegrees :

    0.0

    GRIB_missingValue :

    3.4028234663852886e+38

    GRIB_name :

    Temperature

    GRIB_parameterName :

    Temperature

    GRIB_parameterUnits :

    K

    GRIB_shortName :

    t

    GRIB_stepRange :

    0

    GRIB_units :

    K

    long_name :

    Temperature

    units :

    K

    standard_name :

    air_temperature

    grid_mapping :

    gribfile_projection

    [1905141 values with dtype=float32]

  • u
    (y, x)
    float32
    ...

    GRIB_paramId :

    131

    GRIB_dataType :

    fc

    GRIB_numberOfPoints :

    1905141

    GRIB_typeOfLevel :

    isobaricInhPa

    GRIB_stepUnits :

    1

    GRIB_stepType :

    instant

    GRIB_gridType :

    lambert

    GRIB_DxInMetres :

    3000.0

    GRIB_DyInMetres :

    3000.0

    GRIB_LaDInDegrees :

    38.5

    GRIB_Latin1InDegrees :

    38.5

    GRIB_Latin2InDegrees :

    38.5

    GRIB_LoVInDegrees :

    262.5

    GRIB_NV :

    0

    GRIB_Nx :

    1799

    GRIB_Ny :

    1059

    GRIB_cfName :

    eastward_wind

    GRIB_cfVarName :

    u

    GRIB_gridDefinitionDescription :

    Lambert Conformal can be secant or tangent, conical or bipolar

    GRIB_iScansNegatively :

    0

    GRIB_jPointsAreConsecutive :

    0

    GRIB_jScansPositively :

    1

    GRIB_latitudeOfFirstGridPointInDegrees :

    21.138123

    GRIB_latitudeOfSouthernPoleInDegrees :

    0.0

    GRIB_longitudeOfFirstGridPointInDegrees :

    237.280472

    GRIB_longitudeOfSouthernPoleInDegrees :

    0.0

    GRIB_missingValue :

    3.4028234663852886e+38

    GRIB_name :

    U component of wind

    GRIB_parameterName :

    u-component of wind

    GRIB_parameterUnits :

    m s-1

    GRIB_shortName :

    u

    GRIB_stepRange :

    0

    GRIB_units :

    m s**-1

    long_name :

    U component of wind

    units :

    m s**-1

    standard_name :

    eastward_wind

    grid_mapping :

    gribfile_projection

    [1905141 values with dtype=float32]

  • v
    (y, x)
    float32
    ...

    GRIB_paramId :

    132

    GRIB_dataType :

    fc

    GRIB_numberOfPoints :

    1905141

    GRIB_typeOfLevel :

    isobaricInhPa

    GRIB_stepUnits :

    1

    GRIB_stepType :

    instant

    GRIB_gridType :

    lambert

    GRIB_DxInMetres :

    3000.0

    GRIB_DyInMetres :

    3000.0

    GRIB_LaDInDegrees :

    38.5

    GRIB_Latin1InDegrees :

    38.5

    GRIB_Latin2InDegrees :

    38.5

    GRIB_LoVInDegrees :

    262.5

    GRIB_NV :

    0

    GRIB_Nx :

    1799

    GRIB_Ny :

    1059

    GRIB_cfName :

    northward_wind

    GRIB_cfVarName :

    v

    GRIB_gridDefinitionDescription :

    Lambert Conformal can be secant or tangent, conical or bipolar

    GRIB_iScansNegatively :

    0

    GRIB_jPointsAreConsecutive :

    0

    GRIB_jScansPositively :

    1

    GRIB_latitudeOfFirstGridPointInDegrees :

    21.138123

    GRIB_latitudeOfSouthernPoleInDegrees :

    0.0

    GRIB_longitudeOfFirstGridPointInDegrees :

    237.280472

    GRIB_longitudeOfSouthernPoleInDegrees :

    0.0

    GRIB_missingValue :

    3.4028234663852886e+38

    GRIB_name :

    V component of wind

    GRIB_parameterName :

    v-component of wind

    GRIB_parameterUnits :

    m s-1

    GRIB_shortName :

    v

    GRIB_stepRange :

    0

    GRIB_units :

    m s**-1

    long_name :

    V component of wind

    units :

    m s**-1

    standard_name :

    northward_wind

    grid_mapping :

    gribfile_projection

    [1905141 values with dtype=float32]

  • gh
    (y, x)
    float32
    ...

    GRIB_paramId :

    156

    GRIB_dataType :

    fc

    GRIB_numberOfPoints :

    1905141

    GRIB_typeOfLevel :

    isobaricInhPa

    GRIB_stepUnits :

    1

    GRIB_stepType :

    instant

    GRIB_gridType :

    lambert

    GRIB_DxInMetres :

    3000.0

    GRIB_DyInMetres :

    3000.0

    GRIB_LaDInDegrees :

    38.5

    GRIB_Latin1InDegrees :

    38.5

    GRIB_Latin2InDegrees :

    38.5

    GRIB_LoVInDegrees :

    262.5

    GRIB_NV :

    0

    GRIB_Nx :

    1799

    GRIB_Ny :

    1059

    GRIB_cfName :

    geopotential_height

    GRIB_cfVarName :

    gh

    GRIB_gridDefinitionDescription :

    Lambert Conformal can be secant or tangent, conical or bipolar

    GRIB_iScansNegatively :

    0

    GRIB_jPointsAreConsecutive :

    0

    GRIB_jScansPositively :

    1

    GRIB_latitudeOfFirstGridPointInDegrees :

    21.138123

    GRIB_latitudeOfSouthernPoleInDegrees :

    0.0

    GRIB_longitudeOfFirstGridPointInDegrees :

    237.280472

    GRIB_longitudeOfSouthernPoleInDegrees :

    0.0

    GRIB_missingValue :

    3.4028234663852886e+38

    GRIB_name :

    Geopotential height

    GRIB_parameterName :

    Geopotential height

    GRIB_parameterUnits :

    gpm

    GRIB_shortName :

    gh

    GRIB_stepRange :

    0

    GRIB_units :

    gpm

    long_name :

    Geopotential height

    units :

    gpm

    standard_name :

    geopotential_height

    grid_mapping :

    gribfile_projection

    [1905141 values with dtype=float32]

  • dpt
    (y, x)
    float32
    ...

    GRIB_paramId :

    3017

    GRIB_dataType :

    fc

    GRIB_numberOfPoints :

    1905141

    GRIB_typeOfLevel :

    isobaricInhPa

    GRIB_stepUnits :

    1

    GRIB_stepType :

    instant

    GRIB_gridType :

    lambert

    GRIB_DxInMetres :

    3000.0

    GRIB_DyInMetres :

    3000.0

    GRIB_LaDInDegrees :

    38.5

    GRIB_Latin1InDegrees :

    38.5

    GRIB_Latin2InDegrees :

    38.5

    GRIB_LoVInDegrees :

    262.5

    GRIB_NV :

    0

    GRIB_Nx :

    1799

    GRIB_Ny :

    1059

    GRIB_cfName :

    unknown

    GRIB_cfVarName :

    dpt

    GRIB_gridDefinitionDescription :

    Lambert Conformal can be secant or tangent, conical or bipolar

    GRIB_iScansNegatively :

    0

    GRIB_jPointsAreConsecutive :

    0

    GRIB_jScansPositively :

    1

    GRIB_latitudeOfFirstGridPointInDegrees :

    21.138123

    GRIB_latitudeOfSouthernPoleInDegrees :

    0.0

    GRIB_longitudeOfFirstGridPointInDegrees :

    237.280472

    GRIB_longitudeOfSouthernPoleInDegrees :

    0.0

    GRIB_missingValue :

    3.4028234663852886e+38

    GRIB_name :

    Dew point temperature

    GRIB_parameterName :

    Dew point temperature

    GRIB_parameterUnits :

    K

    GRIB_shortName :

    dpt

    GRIB_stepRange :

    0

    GRIB_units :

    K

    long_name :

    Dew point temperature

    units :

    K

    standard_name :

    unknown

    grid_mapping :

    gribfile_projection

    [1905141 values with dtype=float32]

  • gribfile_projection
    ()
    object
    None

    crs_wkt :

    PROJCRS["unknown",BASEGEOGCRS["unknown",DATUM["unknown",ELLIPSOID["unknown",6371229,0,LENGTHUNIT["metre",1,ID["EPSG",9001]]]],PRIMEM["Greenwich",0,ANGLEUNIT["degree",0.0174532925199433],ID["EPSG",8901]]],CONVERSION["unknown",METHOD["Lambert Conic Conformal (2SP)",ID["EPSG",9802]],PARAMETER["Latitude of false origin",38.5,ANGLEUNIT["degree",0.0174532925199433],ID["EPSG",8821]],PARAMETER["Longitude of false origin",262.5,ANGLEUNIT["degree",0.0174532925199433],ID["EPSG",8822]],PARAMETER["Latitude of 1st standard parallel",38.5,ANGLEUNIT["degree",0.0174532925199433],ID["EPSG",8823]],PARAMETER["Latitude of 2nd standard parallel",38.5,ANGLEUNIT["degree",0.0174532925199433],ID["EPSG",8824]],PARAMETER["Easting at false origin",0,LENGTHUNIT["metre",1],ID["EPSG",8826]],PARAMETER["Northing at false origin",0,LENGTHUNIT["metre",1],ID["EPSG",8827]]],CS[Cartesian,2],AXIS["(E)",east,ORDER[1],LENGTHUNIT["metre",1,ID["EPSG",9001]]],AXIS["(N)",north,ORDER[2],LENGTHUNIT["metre",1,ID["EPSG",9001]]]]

    semi_major_axis :

    6371229.0

    semi_minor_axis :

    6371229.0

    inverse_flattening :

    0.0

    reference_ellipsoid_name :

    unknown

    longitude_of_prime_meridian :

    0.0

    prime_meridian_name :

    Greenwich

    geographic_crs_name :

    unknown

    horizontal_datum_name :

    unknown

    projected_crs_name :

    unknown

    grid_mapping_name :

    lambert_conformal_conic

    standard_parallel :

    (38.5, 38.5)

    latitude_of_projection_origin :

    38.5

    longitude_of_central_meridian :

    262.5

    false_easting :

    0.0

    false_northing :

    0.0

    long_name :

    HRRR model grid projection

    array(None, dtype=object)

• Indexes: (0)
• Attributes: (12)

  GRIB_edition :

  2

  GRIB_centre :

  kwbc

  GRIB_centreDescription :

  US National Weather Service - NCEP

  GRIB_subCentre :

  0

  Conventions :

  CF-1.7

  institution :

  US National Weather Service - NCEP

  model :

  hrrr

  product :

  sfc

  description :

  High-Resolution Rapid Refresh - CONUS

  remote_grib :

  https://noaa-hrrr-bdp-pds.s3.amazonaws.com/hrrr.20240101/conus/hrrr.t00z.wrfsfcf00.grib2

  local_grib :

  /home/blaylock/data/hrrr/20240101/subset_6befbe61__hrrr.t00z.wrfsfcf00.grib2

  search :

  :500 mb

More examples of valid regular expressions are found in the Herbie Docs: Subset with search. Using H.inventory(search) is an effective way to test differeng regex patterns to get the variables you are interested in downloading.

The eccodes-style index files work the same way, expect the regex for selecting variable names and levels will be different. Here is the ECMWF forecast inventory file.

H = Herbie("2024-01-01", model="ecmwf")
H.idx

✅ Found ┊ model=ecmwf ┊ product=oper ┊ 2024-Jan-01 00:00 UTC F00 ┊ GRIB2 @ azure ┊ IDX @ azure

'https://ai4edataeuwest.blob.core.windows.net/ecmwf/20240101/00z/0p4-beta/oper/20240101000000-0h-oper-fc.index'

H.inventory()

	grib_message	start_byte	end_byte	range	reference_time	valid_time	step	param	levelist	levtype	number	domain	expver	class	type	stream	search_this
0	1	0	205483	0-205483	2024-01-01	2024-01-01	0 days	gh	250	pl	NaN	g	0001	od	fc	oper	:gh:250:pl:g:0001:od:fc:oper
1	2	205483	427603	205483-427603	2024-01-01	2024-01-01	0 days	gh	925	pl	NaN	g	0001	od	fc	oper	:gh:925:pl:g:0001:od:fc:oper
2	3	427603	427827	427603-427827	2024-01-01	2024-01-01	0 days	tp	NaN	sfc	NaN	g	0001	od	fc	oper	:tp:sfc:g:0001:od:fc:oper
3	4	427827	640309	427827-640309	2024-01-01	2024-01-01	0 days	gh	700	pl	NaN	g	0001	od	fc	oper	:gh:700:pl:g:0001:od:fc:oper
4	5	640309	878511	640309-878511	2024-01-01	2024-01-01	0 days	r	850	pl	NaN	g	0001	od	fc	oper	:r:850:pl:g:0001:od:fc:oper
...	...	...	...	...	...	...	...	...	...	...	...	...	...	...	...	...	...
78	79	23834649	24380346	23834649-24380346	2024-01-01	2024-01-01	0 days	vo	700	pl	NaN	g	0001	od	fc	oper	:vo:700:pl:g:0001:od:fc:oper
79	80	24380346	24958955	24380346-24958955	2024-01-01	2024-01-01	0 days	vo	250	pl	NaN	g	0001	od	fc	oper	:vo:250:pl:g:0001:od:fc:oper
80	81	24958955	25515164	24958955-25515164	2024-01-01	2024-01-01	0 days	vo	200	pl	NaN	g	0001	od	fc	oper	:vo:200:pl:g:0001:od:fc:oper
81	82	25515164	26090217	25515164-26090217	2024-01-01	2024-01-01	0 days	d	50	pl	NaN	g	0001	od	fc	oper	:d:50:pl:g:0001:od:fc:oper
82	83	26090217	26639389	26090217-26639389	2024-01-01	2024-01-01	0 days	vo	50	pl	NaN	g	0001	od	fc	oper	:vo:50:pl:g:0001:od:fc:oper

83 rows × 17 columns

H.inventory(":500:pl")

	grib_message	start_byte	end_byte	range	reference_time	valid_time	step	param	levelist	levtype	number	domain	expver	class	type	stream	search_this
8	9	1562823	1799100	1562823-1799100	2024-01-01	2024-01-01	0 days	r	500	pl	NaN	g	0001	od	fc	oper	:r:500:pl:g:0001:od:fc:oper
23	24	5128477	5391755	5128477-5391755	2024-01-01	2024-01-01	0 days	t	500	pl	NaN	g	0001	od	fc	oper	:t:500:pl:g:0001:od:fc:oper
34	35	7931538	8114292	7931538-8114292	2024-01-01	2024-01-01	0 days	gh	500	pl	NaN	g	0001	od	fc	oper	:gh:500:pl:g:0001:od:fc:oper
51	52	12740037	13041153	12740037-13041153	2024-01-01	2024-01-01	0 days	u	500	pl	NaN	g	0001	od	fc	oper	:u:500:pl:g:0001:od:fc:oper
52	53	13041153	13355478	13041153-13355478	2024-01-01	2024-01-01	0 days	v	500	pl	NaN	g	0001	od	fc	oper	:v:500:pl:g:0001:od:fc:oper
56	57	14281363	14611005	14281363-14611005	2024-01-01	2024-01-01	0 days	q	500	pl	NaN	g	0001	od	fc	oper	:q:500:pl:g:0001:od:fc:oper
68	69	18693700	19269114	18693700-19269114	2024-01-01	2024-01-01	0 days	d	500	pl	NaN	g	0001	od	fc	oper	:d:500:pl:g:0001:od:fc:oper
75	76	22142964	22686453	22142964-22686453	2024-01-01	2024-01-01	0 days	vo	500	pl	NaN	g	0001	od	fc	oper	:vo:500:pl:g:0001:od:fc:oper