ecmwf_era interim_templates

Place these four scripts in a subdirectory called templates of the directory in which you have downloaded get.sh.

#!/usr/bin/env python from ecmwfapi import ECMWFDataServer

area is North/West/South/East

server = ECMWFDataServer()

levtype: ml

stream: oper

type: an

step: 0

time: 00:00:00/06:00:00/12:00:00/18:00:00

levelist: 1

129.128 - z - geopotential

172.128 - lsm - land-sea mask

levtype: ml

stream: oper

type: an

step: 0

time: 00:00:00/06:00:00/12:00:00/18:00:00

levelist: 1/to/60

130.128 - t - temperature

131.128 - u - u component of wind

132.128 - v - v component of wind

133.128 - q - specific humidity

server.retrieve({ "class": "ei", "dataset": "interim", "date": "START_DATE/to/END_DATE", "expver": "1", "grid": "0.75/0.75", "levelist": "1", "levtype": "ml", "param": "129.128/172.128", "step": "0", "stream": "oper", "time": "00:00:00/06:00:00/12:00:00/18:00:00", "type": "an", "target": "CHANGEMEML0", "area" : "80/-50/20/50", })

server.retrieve({ "class": "ei", "dataset": "interim", "date": "START_DATE/to/END_DATE", "expver": "1", "grid": "0.75/0.75", "levelist": "1/to/60", "levtype": "ml", "param": "130.128/131.128/132.128/133.128", "step": "0", "stream": "oper", "time": "00:00:00/06:00:00/12:00:00/18:00:00", "type": "an", "target": "CHANGEMEML1", "area" : "80/-50/20/50", })

#!/usr/bin/env python from ecmwfapi import ECMWFDataServer

area is North/West/South/East

server = ECMWFDataServer()

levtype: ml

stream: oper

type: an

step: 0

time: 00:00:00/06:00:00/12:00:00/18:00:00

levlist: 100

129.128 - z - geopotential

130.128 - t - temperature

133.128 - q - specific humidity

server.retrieve({ "class": "ei", "dataset": "interim", "date": "START_DATE/to/END_DATE", "expver": "1", "grid": "0.75/0.75", "levelist": "100", "levtype": "pl", "param": "129.128/130.128/133.128", "step": "0", "stream": "oper", "time": "00:00:00/06:00:00/12:00:00/18:00:00", "type": "an", "target": "CHANGEMEPL", "area" : "80/-50/20/50", })

#!/usr/bin/env python from ecmwfapi import ECMWFDataServer

area is North/West/South/East

server = ECMWFDataServer()

levtype: pv

stream: oper

type: an

step: 0

time: 00:00:00/06:00:00/12:00:00/18:00:00

levelist: 2000

129.128 - z - geopotential

131.128 - u - u component of wind

132.128 - v - v component of wind

133.128 - q - specific humidity

server.retrieve({ "class": "ei", "dataset": "interim", "date": "START_DATE/to/END_DATE", "expver": "1", "grid": "0.75/0.75", "levelist": "2000", "levtype": "pv", "param": "129.128/131.128/132.128/133.128", "step": "0", "stream": "oper", "time": "00:00:00/06:00:00/12:00:00/18:00:00", "type": "an", "target": "CHANGEMEPV", "area" : "80/-50/20/50", })

#!/usr/bin/env python

from ecmwfapi import ECMWFDataServer

area is North/West/South/East

server = ECMWFDataServer()

Codes - variables - name:

levtype: sfc

stream: oper

type: an

step: 0

time: 00:00:00/06:00:00/12:00:00/18:00:00

levelist: N/A (surface)

31.128 - ci - sea ice cover

33.128 - rsn - snow density

34.128 - sst - sea surface temperature

39.128 - swvl1 - volumetric soil water layer 1

40.128 - swvl2 - volumetric soil water layer 2

41.128 - swvl3 - volumetric soil water layer 3

42.128 - swvl4 - volumetric soil water layer 4

134.128 - sp - surface pressure

139.128 - stl1 - soil temperature level 1

141.128 - sd - snow depth

151.128 - msl - mean sea level pressure

165.128 - 10u - 10 metre U wind component

166.128 - 10v - 10 metre V wind component

167.128 - 2t - 2 metre temperature

168.128 - 2d - 2 metre dewpoint temperature

170.128 - stl2 - soil temperature level 2

183.128 - stl3 - soil temperature level 3

235.128 - skt - skin temperature

236.128 - stl4 - soil temperature level 4

levtype: sfc

stream: wave

type: an

step: 0

time: 00:00:00/06:00:00/12:00:00/18:00:00

levelist: N/A (surface)

230.140 - mwd - mean wave direction

232.140 - mwp - mean wave period

Not using forecast data.

levtype: sfc

stream: oper

type: fc

step: 3/6/9/12

levelist: N/A (surface)

time: 00:00:00/06:00:00/12:00:00/18:00:00

31.128 - ci - sea ice cover

33.128 - rsn - snow density

34.128 - sst - sea surface temperature

39.128 - swvl1 - volumetric soil water layer 1

40.128 - swvl2 - volumetric soil water layer 2

41.128 - swvl3 - volumetric soil water layer 3

42.128 - swvl4 - volumetric soil water layer 4

134.128 - sp - surface pressure

139.128 - stl1 - soil temperature level 1

141.128 - sd - snow depth

151.128 - msl - mean sea level pressure

165.128 - 10u - 10 metre U wind component

166.128 - 10v - 10 metre V wind component

167.128 - 2t - 2 metre temperature

168.128 - 2d - 2 metre dewpoint temperature

170.128 - stl2 - soil temperature level 2

183.128 - stl3 - soil temperature level 3

235.128 - skt - skin temperature

236.128 - stl4 - soil temperature level 4

server.retrieve({ "class": "ei", "dataset": "interim", "date": "START_DATE/to/END_DATE", "expver": "1", "grid": "0.75/0.75", "levtype": "sfc", "param": "31.128/33.128/34.128/39.128/40.128/41.128/42.128/134.128/139.128/141.128/151.128/165.128/166.128/167.128/168.128/170.128/183.128/235.128/236.128", "step": "0", "stream": "oper", "time": "00:00:00/06:00:00/12:00:00/18:00:00", "type": "an", "target": "CHANGEMESFC0", "area" : "80/-50/20/50", })

server = ECMWFDataServer() server.retrieve({ "class": "ei", "dataset": "interim", "date": "START_DATE/to/END_DATE", "expver": "1", "grid": "0.75/0.75", "levtype": "sfc", "param": "230.140/232.140", "step": "0", "stream": "wave", "time": "00:00:00/06:00:00/12:00:00/18:00:00", "type": "an", "target": "CHANGEMESFC2", "area" : "80/-50/20/50", })

Don't use forecast (type=fc) data, only analysis (type=an).

server.retrieve({

"class": "ei",

"dataset": "interim",

"date": "START_DATE/to/END_DATE",

"expver": "1",

"grid": "0.75/0.75",

"levtype": "sfc",

"param": "31.128/33.128/34.128/39.128/40.128/41.128/42.128/134.128/139.128/141.128/151.128/165.128/166.128/167.128/168.128/170.128/183.128/235.128/236.128",

"step": "3/6/9/12",

"stream": "oper",

"time": "00:00:00/12:00:00",

"type": "fc",

"target": "CHANGEMESFC1",

"area" : "80/-50/20/50",

})