I am a complete novice with cfgrib, so please excuse what is probably a straight forward question..
I have a heterogeneous grib file that represents weather information at points on a grid and at atmospheric pressure levels.
For the life of me I cannot work out how to extract the information I need in a usable way.
I want to get, for example, the temperature information (Data variable=t), for each point in the grid at each of the available pressure levels. Or, if that isnt possible get the temperatures for each lat,lon for a specific pressure level.
My grib file looks like this:
Dimensions: (isobaricInhPa: 17, latitude: 145, longitude: 288)
Coordinates:
time datetime64[ns] 2020-10-16T12:00:00
step timedelta64[ns] 06:00:00
* isobaricInhPa (isobaricInhPa) int64 850 750 700 600 500 ... 175 150 125 100
* latitude (latitude) float64 -90.0 -88.75 -87.5 ... 87.5 88.75 90.0
* longitude (longitude) float64 0.0 1.25 2.5 3.75 ... 356.2 357.5 358.8
valid_time datetime64[ns] 2020-10-16T18:00:00
Data variables:
t (isobaricInhPa, latitude, longitude) float32 ...
u (isobaricInhPa, latitude, longitude) float32 ...
v (isobaricInhPa, latitude, longitude) float32 ...
gh (isobaricInhPa, latitude, longitude) float32 ...
Attributes:
GRIB_edition: 2
GRIB_centre: egrr
GRIB_centreDescription: U.K. Met Office - Exeter
GRIB_subCentre: 5
Conventions: CF-1.7
institution: U.K. Met Office - Exeter, <xarray.Dataset>
Dimensions: (isobaricInhPa: 5, latitude: 145, longitude: 288)
Coordinates:
time datetime64[ns] 2020-10-16T12:00:00
step timedelta64[ns] 06:00:00
* isobaricInhPa (isobaricInhPa) int64 850 750 700 600 500
* latitude (latitude) float64 -90.0 -88.75 -87.5 ... 87.5 88.75 90.0
* longitude (longitude) float64 0.0 1.25 2.5 3.75 ... 356.2 357.5 358.8
valid_time datetime64[ns] ...
Data variables:
r (isobaricInhPa, latitude, longitude) float32 ...
Attributes:
GRIB_edition: 2
GRIB_centre: egrr
GRIB_centreDescription: U.K. Met Office - Exeter
GRIB_subCentre: 5
Conventions: CF-1.7
institution: U.K. Met Office - Exeter, <xarray.Dataset>
Dimensions: (latitude: 145, longitude: 288)
Coordinates:
time datetime64[ns] 2020-10-16T12:00:00
step timedelta64[ns] 06:00:00
maxWind int64 0
* latitude (latitude) float64 -90.0 -88.75 -87.5 -86.25 ... 87.5 88.75 90.0
* longitude (longitude) float64 0.0 1.25 2.5 3.75 ... 356.2 357.5 358.8
valid_time datetime64[ns] 2020-10-16T18:00:00
Data variables:
u (latitude, longitude) float32 ...
v (latitude, longitude) float32 ...
icaht (latitude, longitude) float32 ...
Attributes:
GRIB_edition: 2
GRIB_centre: egrr
GRIB_centreDescription: U.K. Met Office - Exeter
GRIB_subCentre: 5
Conventions: CF-1.7
institution: U.K. Met Office - Exeter, <xarray.Dataset>
Dimensions: (latitude: 145, longitude: 288)
Coordinates:
time datetime64[ns] 2020-10-16T12:00:00
step timedelta64[ns] 06:00:00
tropopause int64 0
* latitude (latitude) float64 -90.0 -88.75 -87.5 -86.25 ... 87.5 88.75 90.0
* longitude (longitude) float64 0.0 1.25 2.5 3.75 ... 356.2 357.5 358.8
valid_time datetime64[ns] 2020-10-16T18:00:00
Data variables:
t (latitude, longitude) float32 ...
icaht (latitude, longitude) float32 ...
Attributes:
GRIB_edition: 2
GRIB_centre: egrr
GRIB_centreDescription: U.K. Met Office - Exeter
GRIB_subCentre: 5
Conventions: CF-1.7
institution: U.K. Met Office - Exeter]
Any help greatly appreciated!
This works for me using NWS NCEP grib2 files and should work with U.K. Met Office grib files. It also only grabs the 't' at a specific pressure level.
Use cfgrib.open_datasets() to open the grib file. (I'm using 'data.grib' as an example file name here and using your output of the grib file to get variables):
Since you want the temperature variable 't' which is located in the 0th index of the grib output, use:
However, you still need to specify a pressure level. In order to know what index to use, look at the 'isobaricInhPa' values found in the grib output:
Think of the values as a list:
So if you wanted 't' at 700mb, you would use t[2] because 700 is located at the 2nd index:
(If you need 'isobaricInhPa' values that aren't shown in the grib file output, use:)
And then for the latitude and longitude, use: