This is an old revision of the document!
The basic principle is that we should strive to include all relevant transient forcings over this period if the functionality exists in the model, noting that conformability with the CMIP5 controls and 20th Century transient is crucial.
|Orbital parameters||Annually varying (850-1850) (Table provided if not internally calculated)||1850 values or same as Pre-Ind CMIP5 control [ ecc = ] - [ obl = ° ] - [ peri-180° = ° ]|
|Date of vernal equinox||Mar 21 hr 0||same as CMIP5 control|
|Trace gases||Annually varying (850-1850) (Table provided)||constant at CMIP5 control levels [ CO2 = ppm ] - [ CH4 = ppb ] - [ N2O = ppb ] - [ CFC = ] - [ O3 = ]|
|Volcanic Aerosols||Multiple reconstructions (of AOD, Effective Radius, Mass)|
|Solar irradiance||Multiple reconstructions (default TBD)|
|Ozone||solar related variations (parameterised as function of change in solar irradiance - Drew Shinedll)||same as pre-Ind control|
|Aerosols||biomass burning changes????||same as pre-Ind control|
|Vegetation||Land use conversion (forests to C3/C4 crops) (Pongratz, 2008, Foley and Ramunkutty)||No change from Pre-Ind control|
|available from WDCC-Hamburg (http://cera-www.dkrz.de/WDCC/ui/Entry.jsp?acronym=LAND_COV_scen_800_1699)|
|Ice sheets||No changes from Pre-Ind control|
|Topography and coastlines||No change from Pre-Ind control|
Please use the discussion panel to comment this table!
The following figure (click to get the full-size image) has been provided by Johann Jungclaus (MPI-M Hamburg)
Time series of TSI (Wm-2) from 800AD to 2000. For the COSMOS (MPI-M) Millennium simulations (black curve), a 11 year cycle was added for consistency over the entire period.
Notes: We will impose an 11 year cycle on pre-sunspot reconstructions for consistency of the spectrum of natural variability. Additionally, we will give a spectral set of irradiance changes based on modern variability observed by satellite (Lean).
Candidate reconstructions: Krivova, Steinhilber, new Bard?, (TBD)
Issues: compatability of eff. rad, zonality, height distribution with modern satellite (Sato) data.
Candidate datasets: Crowley, Ammann - differences in thresholds for significant eruptions, peak forcing etc. Need merged/consistent fields. (Ammann)