{"id":2884,"date":"2012-05-06T23:04:01","date_gmt":"2012-05-07T03:04:01","guid":{"rendered":"http:\/\/www.easterbrook.ca\/steve\/?p=2884"},"modified":"2012-05-06T23:04:01","modified_gmt":"2012-05-07T03:04:01","slug":"rotating-the-question","status":"publish","type":"post","link":"http:\/\/www.easterbrook.ca\/steve\/2012\/05\/rotating-the-question\/","title":{"rendered":"Rotating the Question"},"content":{"rendered":"<p>At the CMIP5 workshop earlier this week, one of <a title=\"Ed's blog is Climate Lab Book\" href=\"http:\/\/www.climate-lab-book.ac.uk\/\" target=\"_blank\">Ed Hawkins<\/a>&#8216; charts caught my eye, because he changed how we look at model runs. We&#8217;re used to seeing climate models used to explore the range of likely global temperature responses under different future emissions scenarios, and the results presented as a graph of changing temperature over time. For example, this iconic figure from the last IPCC assessment report (<a title=\"IPCC AR4 WG 1, Figure 10.4\" href=\"http:\/\/www.ipcc.ch\/publications_and_data\/ar4\/wg1\/en\/figure-10-4.html\" target=\"_blank\">click for the original figure and caption at the IPCC site<\/a>):<\/p>\n<p><a href=\"http:\/\/www.ipcc.ch\/publications_and_data\/ar4\/wg1\/en\/figure-10-4.html\"><img decoding=\"async\" loading=\"lazy\" class=\"alignnone size-full wp-image-2886\" title=\"IPCC AR4 Figure 10.4\" src=\"http:\/\/www.easterbrook.ca\/steve\/wp-content\/figure-10-4-l.png\" alt=\"\" width=\"560\" height=\"381\" srcset=\"http:\/\/www.easterbrook.ca\/steve\/wp-content\/figure-10-4-l.png 700w, http:\/\/www.easterbrook.ca\/steve\/wp-content\/figure-10-4-l-300x204.png 300w\" sizes=\"(max-width: 560px) 100vw, 560px\" \/><\/a><\/p>\n<p>These graphs tend to focus too much on the <em>mean<\/em> temperature response in each scenario (where &#8216;mean&#8217; means &#8216;the multi-model mean&#8217;). I tend to think the <em>variance<\/em> is more interesting &#8211; both within each scenario (showing differences in the various CMIP3 models on the same scenarios), and across the different scenarios (showing how our future is likely to be affected by the energy choices implicit in each scenario). A few months ago, <a title=\"Serendipity: One Model to Rule them All?\" href=\"http:\/\/www.easterbrook.ca\/steve\/?p=2737\" target=\"_blank\">I blogged about the analysis that Hawkins and Sutton did on these variabilities<\/a>, to explore how the different sources of uncertainty change as you move from near term to long term. The analysis shows that in the first few decades,\u00a0the differences in the models dominate (which doesn&#8217;t bode well for decadal forecasting &#8211; the models are all over the place). But by the end of the century, the differences between the emissions scenarios dominates (i.e. the spread of projections from the different scenarios is significantly bigger than the \u00a0disagreements between models). Ed presented an update on this analysis for the CMIP5 models this week, which looks very similar.<\/p>\n<p>But here&#8217;s the new thing that caught my eye: Ed included a graph of temperature responses tipped on its side, to answer a different question: how soon will the global temperature exceed the policymaker&#8217;s adopted &#8220;dangerous&#8221; threshold of 2\u00b0C, under each emissions scenario. And, again, how big is the uncertainty? This idea was used in a paper last year by Joshi<em> et. al.<\/em>, entitled <a title=\"Joshi M, Hawkins E, Sutton R, Lowe J, Frame D. Projections of when temperature change will exceed 2 \u00b0C above pre-industrial levels. Nature Climate Change. 2011;1(8):407-412.\" href=\"http:\/\/www.nature.com\/doifinder\/10.1038\/nclimate1261\">Projections of when temperature change will exceed 2 \u00b0C above pre-industrial levels<\/a>. Here&#8217;s their figure 1:<\/p>\n<div id=\"attachment_2887\" style=\"width: 563px\" class=\"wp-caption alignnone\"><a href=\"http:\/\/www.nature.com\/nclimate\/journal\/v1\/n8\/full\/nclimate1261.html\"><img aria-describedby=\"caption-attachment-2887\" decoding=\"async\" loading=\"lazy\" class=\"size-full wp-image-2887 \" title=\"Global Mean Surface Air Temperatures\" src=\"http:\/\/www.easterbrook.ca\/steve\/wp-content\/Screen-shot-2012-05-06-at-6.33.32-PM.png\" alt=\"\" width=\"553\" height=\"421\" srcset=\"http:\/\/www.easterbrook.ca\/steve\/wp-content\/Screen-shot-2012-05-06-at-6.33.32-PM.png 921w, http:\/\/www.easterbrook.ca\/steve\/wp-content\/Screen-shot-2012-05-06-at-6.33.32-PM-300x228.png 300w\" sizes=\"(max-width: 553px) 100vw, 553px\" \/><\/a><p id=\"caption-attachment-2887\" class=\"wp-caption-text\">Figure 1 from Joshi et al, 2011<\/p><\/div>\n<p>By putting the dates on the Y-axis and temperatures on the X-axis, and cutting off the graph at 2\u00b0C, we get a whole new perspective on what the models runs are telling us. For example, it&#8217;s now easy to see that in all these scenarios, we pass the 2\u00b0C threshold well before the end of the century (whereas the IPCC graph above completely obscures this point), and under the higher emissions scenarios, we get to 3\u00b0C by the end of the century.<\/p>\n<p>A wonderful example of how much difference the choice of presentation makes. I guess I should mention, however, that the idea of a 2\u00b0C threshold is completely arbitrary. I&#8217;ve asked many different scientists where the idea came from, and they all suggest it&#8217;s something the policymakers dreamt up, rather than anything arising out of scientific analysis. The full story is available in <a title=\"Randalls S. History of the 2\u00b0C climate target. Wiley Interdisciplinary Reviews: Climate Change. 2010;1(4):598-605.\" href=\"http:\/\/doi.wiley.com\/10.1002\/wcc.62\">Randalls, 2011, &#8220;History of the 2\u00b0C climate target&#8221;<\/a>.<\/p>\n","protected":false},"excerpt":{"rendered":"<p>At the CMIP5 workshop earlier this week, one of Ed Hawkins&#8216; charts caught my eye, because he changed how we look at model runs. We&#8217;re used to seeing climate models used to explore the range of likely global temperature responses under different future emissions scenarios, and the results presented as a graph of changing temperature [&hellip;]<\/p>\n","protected":false},"author":392,"featured_media":0,"comment_status":"open","ping_status":"open","sticky":false,"template":"","format":"standard","meta":{"footnotes":""},"categories":[27],"tags":[],"aioseo_notices":[],"jetpack_sharing_enabled":true,"jetpack_featured_media_url":"","_links":{"self":[{"href":"http:\/\/www.easterbrook.ca\/steve\/wp-json\/wp\/v2\/posts\/2884"}],"collection":[{"href":"http:\/\/www.easterbrook.ca\/steve\/wp-json\/wp\/v2\/posts"}],"about":[{"href":"http:\/\/www.easterbrook.ca\/steve\/wp-json\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"http:\/\/www.easterbrook.ca\/steve\/wp-json\/wp\/v2\/users\/392"}],"replies":[{"embeddable":true,"href":"http:\/\/www.easterbrook.ca\/steve\/wp-json\/wp\/v2\/comments?post=2884"}],"version-history":[{"count":4,"href":"http:\/\/www.easterbrook.ca\/steve\/wp-json\/wp\/v2\/posts\/2884\/revisions"}],"predecessor-version":[{"id":2890,"href":"http:\/\/www.easterbrook.ca\/steve\/wp-json\/wp\/v2\/posts\/2884\/revisions\/2890"}],"wp:attachment":[{"href":"http:\/\/www.easterbrook.ca\/steve\/wp-json\/wp\/v2\/media?parent=2884"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"http:\/\/www.easterbrook.ca\/steve\/wp-json\/wp\/v2\/categories?post=2884"},{"taxonomy":"post_tag","embeddable":true,"href":"http:\/\/www.easterbrook.ca\/steve\/wp-json\/wp\/v2\/tags?post=2884"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}