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Decadal Forecast
Decadal forecast for 2019-2028
Data and Methods
Background Information
How are numerical models used to produce decadal climate predictions?
What can a decadal prediction system predict?
How are decadal climate predictions evaluated?
From a climate forecast to a potential user product
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Decadal forecast for 2018-2027
Data and Methods
Decadal forecast 2018-2027
Decadal forecast for 2017-2026
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MiKlip II - MiKlip second phase
Module A - Determination of initial conditions and initialization
A-WP1 - A-Coordination2
A-WP2 - AODA-PENG II
A-WP3 - PastLand II
Module B - Processes and Modelling
B-WP0 - Module B Coordination
B-WP1 - ALARM-II
B-WP2 - STRATO-II
B-WP3 - FAST-O3-II
B-WP4 - MOVIECLIP
B-WP5 - ATMOS-MODINI
B-WP6 - PROCUP
Module C - Regionalised decadal predictions
C1-WP1 - Interactive European marginal seas
C1-WP2 - Predictive potential of land surfaces
C2-WP1 - Added value of regionalisation for user-relevant variables
C2-WP2 - Prediction of large regional climate anomalies
C2-WP3 - Multi-decadal variability
C3-WP1 - Optimising regional ensembles
C3-WP2 - Optimised ensemble characteristics
C3-WP3 - Ensemble Generation
Module D - Synthesis
D-WP1 - FLEXFORDEC /INTEGRATION
D-WP2 - OPERATIONS
D-WP3.1 - SUPPORT
D-WP3.2 - IPRODUCTS
D-WP4 - MiKlip Office
Module E - Evaluation
E-WP0 - ECO
E-WP1 - MOSQUITO
E-WP2 - DAPAGLOCO
E-WP3 - VALOCEAN
E-WP4 - STOC
E-WP5 - PROMISA
E-WP6 - DROUGHTCLIP
E-WP7 - STEPCLIM
E-WP8 - PROVESIMAC
E-WP9 - CALIBRATION
MiKlip I - MiKlip first phase
Module A
Module A - Summary of the first phase of MiKlip
PastLand
Modini
AODA-PENG
Coordination Module A
Module B
Module B - Summary of the first phase of MiKlip
TORUS
SPARCS
LiCos
ALARM
FAST-O3
ATMOS
MultiCliP
MCRA
STRATO
Module C
Module C - Summary of the first phase of MiKlip
DecReg
PRODEF
FLAGSHIP
Departure
RegioPredict
LACEPS
REDCLIP
MesoTel
Module D
Module D - Summary of the first phase of MiKlip
FLEXFORDEC
INTEGRATION
Module E
Module E - Summary of the first phase of MiKlip
EnsDiVAl
MOSQUITO
VESPA
OCEANOBS
STEPCLIM
VADY
DroughtClip
GEOCLIM
VECAP
DAPACLIP
ClimVal
Decadal Forecast
Decadal forecast for 2019-2028
Data and Methods
Background Information
How are numerical models used to produce decadal climate predictions?
What can a decadal prediction system predict?
How are decadal climate predictions evaluated?
From a climate forecast to a potential user product
Forecasts Archive
Decadal forecast for 2018-2027
Data and Methods
Decadal forecast 2018-2027
Decadal forecast for 2017-2026
Service
Publications
Datasets
News
Events
Search
MiKlip Phase II
MiKlip Phase I
Module A
Module A - Summary of the first phase of MiKlip
PastLand
Modini
AODA-PENG
Coordination Module A
Module B
Module B - Summary of the first phase of MiKlip
TORUS
SPARCS
LiCos
ALARM
FAST-O3
ATMOS
MultiCliP
MCRA
STRATO
Module C
Module C - Summary of the first phase of MiKlip
DecReg
PRODEF
FLAGSHIP
Departure
RegioPredict
LACEPS
REDCLIP
MesoTel
Module D
Module D - Summary of the first phase of MiKlip
FLEXFORDEC
INTEGRATION
Module E
Module E - Summary of the first phase of MiKlip
EnsDiVAl
MOSQUITO
VESPA
OCEANOBS
STEPCLIM
VADY
DroughtClip
GEOCLIM
VECAP
DAPACLIP
ClimVal
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Empirical sea ice thickness retrieval during the freeze-up period from SMOS high incident angle observations
2014 - The Cryosphere, Vol. 7, pp. 4379-4405
Huntemann, M.
| G. Heygster, L. Kaleschke, T. Krumpen, M. Mäkynen, and M. Drusch´
