Why is it so hard to say what the future North European climate will look like? A recent review paper by Shaw et al, 2016 explains the reason in persuasive terms.
- T.A. Shaw, M. Baldwin, E.A. Barnes, R. Caballero, C.I. Garfinkel, Y. Hwang, C. Li, P.A. O'Gorman, G. Rivière, I.R. Simpson, and A. Voigt, "Storm track processes and the opposing influences of climate change", Nature Geoscience, vol. 9, pp. 656-664, 2016. http://dx.doi.org/10.1038/NGEO2783
Scientists getting organized to help readers sort fact from fiction in climate change media coverage
Guest post by Emmanuel Vincent
While 2016 is on track to easily surpass 2015 as the warmest year on record, some headlines, in otherwise prestigious news outlets, are still claiming that “2015 Was Not Even Close To Hottest Year On Record” (Forbes, Jan 2016) or that the “Planet is not overheating…” (The Times of London, Feb 2016). Media misrepresentation confuses the public and prevents our policy makers from developing a well-informed perspective, and making evidence-based decisions.
Professor Lord Krebs recently argued in an opinion piece in The Conversation that “accurate reporting of science matters” and that it is part of scientists’ professional duty to “challenge poor media reporting on climate change”. He concluded that “if enough [scientists] do so regularly, [science reporting] will improve – to the benefit of scientists, the public and indeed journalism itself.”
This is precisely what a new project called Climate Feedback is doing: giving hundreds of scientists around the world the opportunity to not only challenge unscientific reporting of climate change, but also to highlight and support accurate science journalism.
Global climate models (GCM) are designed to simulate earth’s climate over the entire planet, but they have a limitation when it comes to describing local details due to heavy computational demands. There is a nice TED talk by Gavin that explains how climate models work.
We need to apply downscaling to compute the local details. Downscaling may be done through empirical-statistical downscaling (ESD) or regional climate models (RCMs) with a much finer grid. Both take the crude (low-resolution) solution provided by the GCMs and include finer topographical details (boundary conditions) to calculate more detailed information. However, does more details translate to a better representation of the world?
The question of “added value” was an important topic at the International Conference on Regional Climate conference hosted by CORDEX of the World Climate Research Programme (WCRP). The take-home message was mixed on whether RCMs provide a better description of local climatic conditions than the coarser GCMs.
What exactly is the greenhouse effect? And what does it look like if we view it from a new angle? Of course, we know the answer, and Raymond Pierrehumbert has written an excellent paper about it (Infrared radiation and planetary temperature). Computer code used in climate models contain all the details.