See Brief request syntax to understand each keyword.
We have created some request examples. You can see the explanation and then a link to the ECMWF Public Dataset web interface.
When click to the "ECMWF Public Dataset web interface" link, the values will be pre-selected. To see the script you have to use "View MARS Request" button.
ERA-Interim Surface
- 2m temperature(165.128), 10m u wind component(166.128), 10m v wind component(167.128).
- July 2014
- Time: 00,06,12,18 UTC
- Step: 0
ECMWF Public Dataset web interface
A basic example
#!/usr/bin/env python
from ecmwfapi import ECMWFDataServer
server = ECMWFDataServer()
server.retrieve({
'stream' : "oper",
'levtype' : "sfc",
'param' : "165.128/166.128/167.128",
'dataset' : "interim",
'step' : "0",
'grid' : "0.75/0.75",
'time' : "00/06/12/18",
'date' : "2014-07-01/to/2014-07-31",
'type' : "an",
'class' : "ei",
'target' : "interim_2014-07-01to2014-07-31_00061218.grib"
})
Add 'format' : "netcdf" to request the data in NetCDF format instead of grib
Same request NetCDF format
#!/usr/bin/env python
from ecmwfapi import ECMWFDataServer
server = ECMWFDataServer()
server.retrieve({
'stream' : "oper",
'levtype' : "sfc",
'param' : "165.128/166.128/167.128",
'dataset' : "interim",
'step' : "0",
'grid' : "0.75/0.75",
'time' : "00/06/12/18",
'date' : "2014-07-01/to/2014-07-31",
'type' : "an",
'class' : "ei",
'format' : "netcdf",
'target' : "interim_2014-07-01to2014-07-31_00061218.nc"
})
Specify the desired sub-area of data to be extracted
Same request NetCDF format
#!/usr/bin/env python
from ecmwfapi import ECMWFDataServer
server = ECMWFDataServer()
server.retrieve({
'stream' : "oper",
'levtype' : "sfc",
'param' : "165.128/166.128/167.128",
'dataset' : "interim",
'step' : "0",
'grid' : "0.75/0.75",
'time' : "00/06/12/18",
'date' : "2014-07-01/to/2014-07-31",
'type' : "an",
'class' : "ei",
'area' : "73.5/-27/33/45",
'format' : "netcdf",
'target' : "interim_2014-07-01to2014-07-31_00061218.nc"
})
ERA-Interim Monthly Means of Daily Means
- 2m temperature.
- May 2014 mean
ECMWF Public Dataset web interface
ERA-Interim Model Levels
- 2m temperature(165.128), 10m u wind component(166.128), 10m v wind component(167.128).
- June 2014
- Time: 00,06,12,18 UTC
- Step: 0
- 60 model levels
ECMWF Public Dataset web interface
ERA-Interim Pressure Levels
- Cloud cover, relative humidity, Specific cloud ice water content, temperature.
- All the pressure levels.
- March 2014
1 Comment
Unknown User (uskh)
#!/usr/bin/env python from ecmwfapi import ECMWFDataServer server = ECMWFDataServer() # This script downloads ERA-Interim forecasts, on pressure levels. # Adapt the script to your requirements. # The data volume for all pressure level data is about 5GB per day, and all pressure level data for more than a single day will exceed the WebAPI limit of 600.000 fields. Thus please restrict the download to what you really need. # It is likely you need to split your request, this is best done by time periods, ie. first download for month 1, then for month 2, etc. server.retrieve({ # Specify the ERA-Interim data archive. Don't change. "class": "ei", "dataset": "interim", "expver": "1", "stream": "oper", # pressure levels (levtype:pl), all available levels (levelist) "levtype": "pl", "levelist": "1/2/3/5/7/10/20/30/50/70/100/125/150/175/200/225/250/300/350/400/450/500/550/600/650/700/750/775/800/825/850/875/900/925/950/975/1000", # forecast (type:fc), from both daily forecast runs (time) with all available forecast steps (step, in hours) "type": "fc", "time": "00:00:00/12:00:00", "step": "3/6/9/12/15/18/21/24/30/36/42/48/60/72/84/96/108/120/132/144/156/168/180/192/204/216/228/240", # all available parameters, for codes see http://apps.ecmwf.int/codes/grib/param-db "param": "60.128/129.128/130.128/131.128/132.128/133.128/135.128/138.128/155.128/157.128/203.128/246.128/247.128/248.128", # two days worth of data "date": "2016-01-01/to/2016-01-02", # in 0.75 degrees lat/lon "grid": "0.75/0.75", # optionally restrict area to Europe (in N/W/S/E). # "area": "75/-20/10/60", # Optionally get output in NetCDF format. However, for NetCDF timestamps (time+step) must not overlap, so use e.g. "time":"00:00:00/12:00:00","step":"12" # "format" : "netcdf", # set an output file name "target": "CHANGEME", })