Global monthly reforecast sea surface temperatures from 1901 to 2010 with 24-month lead time

Title Global monthly reforecast sea surface temperatures from 1901 to 2010 with 24-month lead time
Description Long-range reforecast experiment covering the period 1901-2010 with a low-resolution configuration of SEAS5 To explore ENSO predictability up to 2 years. The reforecasts are initialised with the coupled reanalysis of the 20th Century CERA-20C.
DOI 10.21957/fzf9-te33
Experiment ID guxf
Experiment class ECMWF Research Department
Examples

Extract global monthly mean SST data for all 24 forecast months and 10 ensemble members from forecast initialised on 1st May 1901

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

server = ECMWFDataServer()

server.retrieve({
    "class": "rd",
    "dataset": "research",
    "date": "1901-05-01",
    "expver": "guxf",
    "fcmonth": "1/2/3/4/5/6/7/8/9/10/11/12/13/14/15/16/17/18/19/20/21/22/23/24",
    "levtype": "sfc",
    "method": "1",
    "number": "0/1/2/3/4/5/6/7/8/9",
    "origin": "ecmf",
    "param": "34.128",
    "stream": "msmm",
    "target": "output",
    "time": "00:00:00",
    "type": "fcmean"
})

Extract global monthly mean SST data for all 24 forecast months and 10 ensemble members from forecast initialised on 1st November 1901

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

server = ECMWFDataServer()

server.retrieve({
    "class": "rd",
    "dataset": "research",
    "date": "1901-11-01",
    "expver": "guxf",
    "fcmonth": "1/2/3/4/5/6/7/8/9/10/11/12/13/14/15/16/17/18/19/20/21/22/23/24",
    "levtype": "sfc",
    "method": "1",
    "number": "0/1/2/3/4/5/6/7/8/9",
    "origin": "ecmf",
    "param": "34.128",
    "stream": "msmm",
    "target": "output",
    "time": "00:00:00",
    "type": "fcmean"
})