An excellent global climate simulation tool, to roughly model climate change management strategies and their impacts. (It’s not good news.)
China continues to break new ground in grim meathook future dystopia:
The Chinese government is building “essentially technologies used for hunting people,” said Mark Munsterhjelm, an assistant professor at the University of Windsor in Ontario who tracks Chinese interest in the technology. In the world of science, Dr. Munsterhjelm said, “there’s a kind of culture of complacency that has now given way to complicity.”
Well well well. Climate deniers have been making it up all along.
According to the research published today, almost every peer-reviewed climate model of human-caused global temperature rise dating back to 1970 lines up with the warming we see today. “In scientific terms, we’d say there’s no bias,” the paper’s co-author Henri Drake, a PhD candidate at MIT, told me over the phone. “Once we accounted for the differences in CO2 emissions, 14 of the 17 models we analyzed were consistent with current observations.” “Taken together,” he added, “these climate models have always been quantitatively accurate.”
This is amazing. It seems that bots are searching twitter for “I want this on a shirt!” comments, and printing t-shirts on demand using whatever image was in the replied-to tweet — regardless of artist permission or credit. Cue hi-jinks
‘A demand side management solution that consumes electricity in low grid carbon intensity areas’:
To justify Kubernetes’ ability or globally distributed deployments the researchers chose to optimize placement to regions with the greatest degree of solar irradiance termed a Heliotropic Scheduler. This scheduler is termed ‘heliotropic’ in order to differentiate it from a ‘follow-the-sun’ application management policy that relates to meeting customer demand around the world by placing staff and resources in proximity to those locations (thereby making them available to clients at lower latency and at a suitable time of day). A ‘heliotropic’ policy, on the other hand, goes to where sunlight, and by extension solar irradiance, is abundant. They further evaluated the Heliotropic Scheduler implementation by running BOINC jobs on Kubernetes.