(This is nearly 2 months old news but I missed it the first time round)
So looks like they're taking the next step in modelling by ironing out recent anomalies. Exciting!
srcMillennium/Famous is back
The Millennium/Famous experiment has been quiet after a small-scale sneak release on March 24, but we are back with a serious amount of work. We need to run a large ensemble of a global atmosphere-ocean coupled model, FAMOUS, from 800 to 2200 AD plus a preceding "spin-up" period. This experiment is part of the Millennium Project funded by the European Commission for paleo-climate studies of Europe. As the results we obtain cover the entire globe and the future, they will also be used in studies of other regions as well as the future climate change.
We hope you enjoy the fast simulations. Each work unit is 200 years long and is expected to complete in about 1 to 2 weeks on most recent PCs.
srcSlogan : Historical climate records tell various stories — Let's test them all.
We'd like to understand the climate changes since 800 AD (i.e., for just over a millennium). In addition to the post-industrial era, this period includes so-called Medieval Warm Period (~900-1300 AD) and Little Ice Age (~1300-1900AD) (see e.g. Medieval Warm Period on wikipedia). The anomalously warm and cold periods are probably caused by the variation of volcanic & solar activities, land use changes and perhaps the change of oceanic circulation pattern, but the contribution of each component is not well understood.
In addition to satisfy the scientific and historical curiosity, this experiment is driven by the urgent need to refine the climate predictions. The climate models have so far been evolved to simulate the recent climate. The last "millennium" can provide an extra constraint to refine the models further.
However, both the driving force and the climate reconstructions over the pre-industrial era are based on the analysis of the natural archives of climate sensitive quantities, such as the growth of trees and seashells, and the changes of chemical, biological, and isotopic compositions in lake sediments and ice core samples. These "proxy" data are truly useful only when we fully explore the enormous range of the combined uncertainty.
So looks like they're taking the next step in modelling by ironing out recent anomalies. Exciting!