ECMWF Seasonal reforecasts with time-varying Leaf Area Index and Land Use/Land Cover

Title ECMWF Seasonal reforecasts with time-varying Leaf Area Index and Land Use/Land Cover
Description This dataset contains parameters from four-month long seasonal reforecasts using ECMWF IFS cycle CY49R1 v-version 4 covering the period 1993-2019 and forced with datasets for Leaf Area Index (LAI) and Land Use/Land Cover (LULC) developed in the CONFESS project (https://confess-h2020.eu). The reforecasts uses time varying LAI and LULC based on version climate.v020_ESACCI_LAI of the IFS climate fields and can be compared against the CONTROL experiment (i14x) that uses climatological LAI and fixed LULC. The IFS-NEMO coupled model in a relatively low resolution configuration (TCo199 atmosphere, ORCA1_Z75 ocean) compared to the operational SEAS5 is used. The reforecasts are intialised on 01-May and 01-November with 101 ensemble members. The CONFESS project has received funding from the European Union’s Horizon 2020 research and innovation programme under grant agreement No 101004156. See also: https://www.ecmwf.int/en/elibrary/81330-newsletter-no-174-winter-202223
DOI 10.21957/brc3-se71
Experiment ID i14y
Experiment class ECMWF Research Department
Examples

Monthly mean 2m Temperature

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

server = ECMWFDataServer()

server.retrieve({
    "class": "rd",
    "dataset": "research",
    "date": "1993-05-01",
    "expver": "i14y",
    "fcmonth": "1/2/3/4",
    "levtype": "sfc",
    "method": "1",
    "number": "0/to/100",
    "origin": "ecmf",
    "param": "2t",
    "stream": "msmm",
    "system": "5",
    "target": "output_2t.grib",
    "time": "00:00:00",
    "type": "fcmean"
})

Monthly mean Geopotential at 500 hPa 

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

server = ECMWFDataServer()

server.retrieve({
    "class": "rd",
    "dataset": "research",
    "date": "1993-05-01",
    "expver": "i14y",
    "fcmonth": "1/2/3/4",
    "levelist": "500",
    "levtype": "pl",
    "method": "1",
    "number": "0/to/100",
    "origin": "ecmf",
    "param": "z",
    "stream": "msmm",
    "system": "5",
    "target": "output_z500.grib",
    "time": "00:00:00",
    "type": "fcmean"
})