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cmip6_discussion [2016/10/25 11:14]
mmenegoz [VolMIP]
cmip6_discussion [2016/10/25 12:48] (current)
fmassonn
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 Some initial ideas on how to generate an SST and sea-ice forcing set for the AMIP-style runs (including the future part to 2050 and beyond) has been posted to the [[https://dev.knmi.nl/documents/21|wiki]]. Some initial ideas on how to generate an SST and sea-ice forcing set for the AMIP-style runs (including the future part to 2050 and beyond) has been posted to the [[https://dev.knmi.nl/documents/21|wiki]].
  
-The climate prediction group will run a 1950-2050 simulation.+The climate prediction group will run a 1950-2050 coupled simulation.
  
 Local contact: V. Guemas Local contact: V. Guemas
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 Documented by J. García-Serrano Documented by J. García-Serrano
 +
 +
 +==== SIMIP ===== 
 +
 +The Sea Ice MIP (SIMIP,  {{http://www.geosci-model-dev.net/9/3427/2016/gmd-9-3427-2016.pdf|Paper}}) has the peculiarity to be a "diagnostic" MIP meaning that no actual dedicated experiments will be run under this project. In that sense, SIMIP will be "passive" and analyze information from simulations that will be produced in other MIPs, including DECK simulations.
 +
 +SIMIP has the ultimate goal to improve understanding about sea ice as a component of the complex coupled climate system: how does it respond to external forcing? how does it feed back? what is the role of internal versus forced variability of sea ice parameters?
 +
 +The SIMIP is organized around three guiding set of questions:
 +
 +(1) How can we explain model spread in simulating sea ice characteristics? Are they due to differences in the inherent formulation of physics and resolution? What is the role of sea ice physics with respect to differences in atmospheric and oceanic forcings? How does model spread compare to other sources of uncertainty (scenario, irreducible)?
 +
 +(2) How can we explain model biases? What part of the mismatch is truly related to model deficiencies, and what part is due to other factors (observational uncertainty, internal variability, methodological failures in the comparison,...)? What new diagnostics can be developed to trace the ability of models to represent processes (e.g., the ice-albedo feedback) and not just numbers (e.g., sea ice extent) that may hide compensating errors?
 +
 +(3) To what extent can we predict sea ice? What is the potential predictability of sea ice? What is the quality of initial conditions currently available? How to generate ensembles that reflect our uncertainty at best?
 +
 +BSC-ES is contributing to SIMIP through F. Massonnet being a member of the SIMIP-panel (lead by D. Notz and A. Jahn) but also by the provision of initial sea ice states generated by the ensemble Kalman filter with EC-Earth.
 +
 +
 +Documented by F. Massonnet.
cmip6_discussion.1477386852.txt.gz · Last modified: 2016/10/25 11:14 by mmenegoz