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 LULC and climatological LAI 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
Examples
retrieve,
class=rd,
date=1993-05-01,
expver=i14z,
fcmonth=1/2/3/4,
levtype=sfc,
method=1,
number=0/to/100,
origin=ecmf,
param=2t,
stream=msmm,
system=5,
time=00:00:00,
type=fcmean,
target="output_2t.grib"
Monthly mean 2m Temperature
retrieve,
class=rd,
date=1993-05-01,
expver=i14z,
fcmonth=1/2/3/4,
levtype=pl,
levelist=500,
method=1,
number=0/to/100,
origin=ecmf,
param=z,
stream=msmm,
system=5,
time=00:00:00,
type=fcmean,
target="output_z500.grib"Monthly mean Geopotential at 500 hPa