Global output of seasonal forecast experiment of monthly mean data for JJA 2022

Title Global output of seasonal forecast experiment of monthly mean data for JJA 2022
Description Long-range ensemble forecast experiment initialised on 1st May 2022 covering the 4 months up to the end of August 2022 with atmospheric CO2 concentrations reduced to pre-industrial levels of 285 ppm
DOI 10.21957/pnpp-7878
Experiment ID htk3
Experiment class ECMWF Research Department
Examples

Extract global monthly specific humidity at 850 hPa data for all 4 forecast months and ensemble members 

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

server = ECMWFDataServer()

server.retrieve({
    "class": "rd",
    "dataset": "research",
    "date": "2022-05-01",
    "expver": "htk3",
    "fcmonth": "1/2/3/4",
    "levelist": "850",
    "levtype": "pl",
    "method": "1",
    "number": "0/1/2/3/4/5/6/7/8/9/10/11/12/13/14/15/16/17/18/19/20/21/22/23/24/25/26/27/28/29/30/31/32/33/34/35/36/37/38/39/40/41/42/43/44/45/46/47/48/49/50",
    "origin": "ecmf",
    "param": "133.128",
    "stream": "msmm",
    "target": "output",
    "time": "00:00:00",
    "type": "fcmean"
})

Extract global monthly precipitation data for all 4 forecast months and ensemble members 

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

server = ECMWFDataServer()

server.retrieve({
    "class": "rd",
    "dataset": "research",
    "date": "2022-05-01",
    "expver": "htk3",
    "fcmonth": "1/2/3/4",
    "levtype": "sfc",
    "method": "1",
    "number": "0/1/2/3/4/5/6/7/8/9/10/11/12/13/14/15/16/17/18/19/20/21/22/23/24/25/26/27/28/29/30/31/32/33/34/35/36/37/38/39/40/41/42/43/44/45/46/47/48/49/50",
    "origin": "ecmf",
    "param": "228.172",
    "stream": "msmm",
    "target": "output",
    "time": "00:00:00",
    "type": "fcmean"
})