MPI-ESM-LR 1.2.01 inter-annual prediction hybrid localEnKF and ML ocean monthly and yearly

hdl:21.14106/ed5e1d757a7ceda490e7ffcf5543d944ab722212

Beobide Arsuaga, Goratz; Brune, Sebastian

Dataset
Summary
Selected monthly mean and yearly mean ocean output of inter-annual predictions, based on the decadal prediction system with MPI-ESM-LR 1.2.01p5, 1.2.01p7, members 1 to 16, with machine learning modified initialisation state of the North Atlantic Ocean.
Hindcasts dmlen4YYYY_rXi2p3-LR with 16 members started November 1st each year 1960-2020, all running 26 months.
All simulations with CMIP6 external forcing.
Simulations have been planned by Sebastian Brune and Goratz Beobide Arsuaga (UHH). ML modifications according to Lentz et al. (2025) https://doi.org/10.1038/s41598-025-86374-4. Simulations have been run @DKRZ on Levante by Goratz Beobide Arsuaga (UHH) in 2025.

Output format is raw data output according to ocean domain MPIOM:

mpiom_data_2d_mm:
zos(time, depth, y, x) ;
zos:long_name = "Sea surface height above geoid" ;
zos:units = "m" ;
zos:code = 1 ;
tos(time, depth, y, x) ;
tos:long_name = "Sea surface temperature" ;
tos:units = "C" ;
tos:code = 12 ;
sivol(time, depth, y, x) ;
sivol:long_name = "Sea ice volume per area" ;
sivol:units = "m" ;
sivol:code = 13 ;
siconc(time, depth, y, x) ;
siconc:long_name = "Sea ice area fraction" ;
siconc:units = "1" ;
siconc:code = 15 ;
sos(time, depth, y, x) ;
sos:long_name = "Sea surface salinity" ;
sos:units = "1e-3" ;
sos:code = 16 ;
msftbarot(time, depth, y, x) ;
msftbarot:long_name = "Ocean barotropic mass streamfunction" ;
msftbarot:units = "kg s-1" ;
msftbarot:code = 27 ;
sicsno(time, depth, y, x) ;
sicsno:long_name = "Surface snow thickness where sea ice" ;
sicsno:units = "m" ;
sicsno:code = 141 ;
zmld(time, depth, y, x) ;
zmld:long_name = "Ocean mixed layer thickness defined by sigma t" ;
zmld:units = "m" ;
zmld:code = 183 ;
mlotst(time, depth, y, x) ;
mlotst:long_name = "Ocean mixed layer thickness defined by sigma t" ;
mlotst:units = "m" ;
mlotst:code = 276 ;
thetaot(time, depth, y, x) ;
thetaot:long_name = "Vertically Averaged Sea Water Potential Temperature" ;
thetaot:units = "K" ;
thetaot:code = 285 ;
thetaot300(time, depth, y, x) ;
thetaot300:long_name = "Depth average potential temperature of upper 300m" ;
thetaot300:units = "K" ;
thetaot300:code = 286 ;
thetaot700(time, depth, y, x) ;
thetaot700:long_name = "Depth average potential temperature of upper 700m" ;
thetaot700:units = "K" ;
thetaot700:code = 287 ;
thetaot2000(time, depth, y, x) ;
thetaot2000:long_name = "Depth average potential temperature of upper 2000m" ;
thetaot2000:units = "K" ;
thetaot2000:code = 288 ;
tauuo(time, depth, y_2, x_2) ;
tauuo:long_name = "Surface downward x stress" ;
tauuo:units = "N m-2" ;
tauuo:code = 548 ;
tauvo(time, depth, y_3, x_3) ;
tauvo:long_name = "Surface downward y stress" ;
tauvo:units = "N m-2" ;
tauvo:code = 549 ;

mpiom_data_3d_ym:
thetao(time, depth, y, x) ;
thetao:long_name = "Sea water potential temperature" ;
thetao:units = "C" ;
thetao:code = 2 ;
uo(time, depth, y_2, x_2) ;
uo:long_name = "Sea water x velocity" ;
uo:units = "m s-1" ;
uo:code = 3 ;
vo(time, depth, y_3, x_3) ;
vo:long_name = "Sea water y velocity" ;
vo:units = "m s-1" ;
vo:code = 4 ;
so(time, depth, y, x) ;
so:long_name = "Sea water salinity" ;
so:units = "1e-3" ;
so:code = 5 ;
wo(time, depth_2, y, x) ;
wo:long_name = "Upward sea water velocity" ;
wo:units = "m s-1" ;
wo:code = 7 ;

mpiom_data_moc_mm:
global_moc(time, depth_2, lat, lon) ;
global_moc:long_name = "Global ocean meridional overturning streamfunction" ;
global_moc:units = "kg s-1" ;
global_moc:code = 100 ;
atlantic_moc(time, depth_2, lat, lon) ;
atlantic_moc:long_name = "Atlantic ocean meridional overturning streamfunction" ;
atlantic_moc:units = "kg s-1" ;
atlantic_moc:code = 101 ;
Project
DKRZ_lta (Long-term Archiving of Climate Model Data at WDC Climate and DKRZ (DOKU))
Spatial Coverage
Longitude 0 to 360 Latitude -90 to 90 Altitude: -6020 m to 0 m
Temporal Coverage
1960-11-01 to 2022-12-31 (calendrical)
Use constraints
Creative Commons Attribution 4.0 International (https://creativecommons.org/licenses/by/4.0/)
Data Catalog
DOKU at DKRZ
Access constraints
registered users
Size
104.49 GiB (112193521374 Byte)
Format
tar-File(s)
Status
completely archived
Creation Date
Future Review Date
2036-05-21
Download Permission
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Cite as
[ Derived from parent entry - See data hierarchy tab ]
Beobide Arsuaga, Goratz; Brune, Sebastian (2026). MPI-ESM-LR 1.2.01 inter-annual prediction hybrid localEnKF and ML. DOKU at DKRZ. https://www.wdc-climate.de/ui/entry?acronym=DKRZ_LTA_1075_dsg0004

BibTeX RIS
Contact typePersonORCIDOrganization
Metadata
Sebastian Brune
0000-0001-7794-5465
Institut für Meereskunde

Parent

MPI-ESM-LR 1.2.01 inter-annual prediction hybrid localEnKF and ML
Details

Parent project(s)

Long-term Archiving of Climate Model Data at WDC Climate and DKRZ (DOKU)

[Entry acronym: DKRZ_LTA_1075_ds00050] [Entry id: 5369848]