PMIP3 database
The PMIP3 data is available in the CMIP5 database
Composites database
In order to compare the relative impact of the changes in the seasonality, El Nino or La Nina events on the SST evolution across the Holocene depending on the climate we classified the years from each simulation into El Nino, La Nina. The years that do not fall into the previous two categories are considered as normal year from which we can estimate a mean seasonal cycle. For a given simulation, a particular year is assigned to a El Nino (La Nina) year if the SST departure from the long term DJF average in the Nino3 box (150°W–90°W;5°S–5°N) is larger (smaller) than 1.2 standard deviation (r) of the PI time series. We also consider 1.5r of each simulation to identify the biggest events in each time period and to test the robustness of the results. For a given climatic period a typical El Nino or La Nina year was then obtained by averaging all the corresponding El Nino (La Nina) years.
- Reference: Impact of Earth’s orbit and freshwater fluxes on Holocene climate mean seasonal cycle and ENSO characteristics, P. Braconnot, Y. Luan, Simon Brewer, W. Zheng, Climate Dynamics, March 2012, Volume 38, Issue 5-6, pp 1081-1092, dx.doi.org/10.1007/s00382-011-1029-x
- Composites database access
PMIP3 composites
IPSL CM4 composites
Name |
Experiment |
2L24 |
Pre-industrial climate (PI CTRL) simulation |
EHOL01 |
9.5 ka simulation with insolation forcing and wF* |
EHOL02 |
9.5 ka simulation with insolation forcing |
HOL04C |
6 ka simulation with wF |
HOL04D |
6 ka simulation with insolation forcing and PMIP2 trace gases |
* wF stands for the interactive ice-sheet melting freshwater flux in the north Atlantic.
IPSL CM5 composites
|