Challenges and opportunities for improved understanding of regional climate dynamics

Dynamical processes in the atmosphere and ocean are central to determining the large-scale drivers of regional climate change, yet their predictive understanding is poor. Here, we identify three frontline challenges in climate dynamics where significant progress can be made to inform adaptation: response of storms, blocks and jet streams to external forcing; basin-to-basin and tropical–extratropical teleconnections; and the development of non-linear predictive theory. We highlight opportunities and techniques for making immediate progress in these areas, which critically involve the development of high-resolution coupled model simulations, partial coupling or pacemaker experiments, as well as the development and use of dynamical metrics and exploitation of hierarchies of models

Why Pay-TV. by Clement Semmler

tag=1 data=Why Pay-TV. by Clement Semmler tag=2 data=Semmler, Clement tag=3 data=Quadrant, tag=4 data=36 tag=5 data=9 tag=6 data=No. 289 September 1992 tag=7 data=40-44. tag=8 data=BROADCASTING tag=10 data=Opponents of Pay-TV are voices in the wilderness, branded as latter-day Luddites. Yet it is they who see that the introduction of Pay-TV will be one of the greatest disasters in Australia's social history. tag=11 data=1992/4/11 tag=12 data=92/0732 tag=13 data=CABOpponents of Pay-TV are voices in the wilderness, branded as latter-day Luddites. Yet it is they who see that the introduction of Pay-TV will be one of the greatest disasters in Australia's social history

Arctic Sea Ice in CMIP6

International audienceWe examine CMIP6 simulations of Arctic sea‐ice area and volume. We find that CMIP6 models produce a wide spread of mean Arctic sea‐ice area, capturing the observational estimate within the multi‐model ensemble spread. The CMIP6 multi‐model ensemble mean provides a more realistic estimate of the sensitivity of September Arctic sea‐ice area to a given amount of anthropogenic CO2 emissions and to a given amount of global warming, compared with earlier CMIP experiments. Still, most CMIP6 models fail to simulate at the same time a plausible evolution of sea‐ice area and of global mean surface temperature. In the vast majority of the available CMIP6 simulations, the Arctic Ocean becomes practically sea‐ice free (sea‐ice area 2) in September for the first time before the year 2050 in each of the four emission scenarios SSP1‐1.9, SSP1‐2.6, SSP2‐4.5 and SSP5‐8.5 examined here