C. Christensen

TL;DR: Results from the ‘climateprediction.net’ experiment are presented, the first multi-thousand-member grand ensemble of simulations using a general circulation model and thereby explicitly resolving regional details, finding model versions as realistic as other state-of-the-art climate models but with climate sensitivities ranging from less than 2 K to more than 11’K.

TL;DR: The Quake-Catcher Network (QCN) as discussed by the authors is a seismic network that implements distributed/volunteer computing with the potential to provide critical earthquake information by filling in the gaps between traditional seismic stations.

TL;DR: In this paper, the authors present results from a multi-thousand-member perturbed-physics ensemble of transient coupled atmosphere-ocean general circulation model simulations and conclude that warming by the middle of the twenty-first century that is stronger than earlier estimates is consistent with recent observed temperature changes and a mid-range "no mitigation" scenario for greenhouse-gas emissions.

TL;DR: The problems in designing a runtime system having features and properties desired by volunteers, and how these problems are solved in BOINC are described.

TL;DR: An unprecedentedly large ensemble of >57,000 climate model runs in which 10 parameters, initial conditions, hardware, and software used to run the model all have been varied is presented.