Skip to main content

Predicting our Climate Future - David Stainforth ***(*)

This has probably been the hardest popular science book to review I've ever read, and because of this I'm going to give a relatively unusual structure to this write-up.

The topic is fascinating. It's about the reality of making predictions - in general, and particularly about climate change. David Stainforth is very firmly of the opinion that climate change is an emergency that requires our action - but he is unusually honest it admitting that the problems of forecasting how climate change will proceed are so great because we face a whole pile of issues along the way.

He highlights how predicting the way the climate will change is a 'one-shot bet' - we don't get to make a forecast time and time again, improving our technique. There will only be a single climate future. This isn't great because we are dealing with a very complex system, we are extrapolating into an unprecedented situation, and the chaotic, non-linear nature of the systems involved make predictions highly dependent on getting initial conditions just right. He also points out how our obsession with throwing computer power at the problem can distract from good design of models, the risk of talking at cross-purposes in an unusually multi-disciplinary science (because there's human science in here too when we attempt to get people to act) and the fact this isn't a purely academic domain, but one the public (rightly) takes a strong interest in.

From this starting point, Stainforth goes on to bring in a series of challenges climate modellers and others face from 'how to balance justified arrogance with essential humility' to 'how can we build physical and social science that is up to the task of informing society about what matters to society', with some thoughts on dealing with these challenges, before pulling it all together.

So, many real positives there. I'd also say that, had he been fiercely edited, he would be a really entertaining writer. Admittedly his attempts at quirky humour can occasionally feel a touch juvenile - when he refers to  something being 'a very different kettle of fish' he shows a picture of a fish kettle. Later on, when comparing the predictability of what happens when we boil a kettle with the vastly more complex climate system, he shows us... a picture of a kettle. (What is it about kettles?) However, there is a genial, conversational style to Stainforth's writing, and a refreshing honesty about the limitations we have with certain kinds of prediction.

I should, then, be giving this book five stars - and I would, but it's simply far too long and repetitive. It's only 356 pages including notes and index, admittedly of small print, but Stainforth makes the same points over and over again, and spends many paragraphs making a point that could have been put across in a single sentence. This meant I found myself repeatedly trying to skip through the text to find the next interesting bit. 

It's such a shame - and given the impressive nature of the content, I still do recommend reading it. But it could have been so much better with more editorial input. I get the impression that many publishers don't put as much effort as they need to into editing - and this is a great example of why they should do more.

Hardback:   
Kindle:  
Using these links earns us commission at no cost to you
Review by Brian Clegg - See all Brian's online articles or subscribe to a weekly email free here

Comments

Popular posts from this blog

Who Invented the Computer? – Ian Watson

Ian Watson is the author of  The Universal Machine  and featured in a recent  Four Way Interview . Saturday June 23 2012 was the centenary of the birth of Alan Turing, the troubled genius who invented the modern computer. Why though do so few people recognize his name and his great achievements? In 1936 English mathematician Alan Turing, published a paper,  On Computable Numbers, with an application to the Entscheidungsproblem . This became the foundation of computing. In it Turing presented a theoretical machine that could solve any problem that could be described by instructions encoded on a paper tape. A Turing Machine could calculate square roots, whilst another might solve Sudoku puzzles. Turing demonstrated you could construct a single  Universal Machine  that could simulate any Turing Machine. One machine solving any problem for which a program could be written – sound familiar? He’d invented the computer. Then,  computers  were peop...

The Star Book – Peter Grego ****

This attractive landscape format book combines an excellent introduction to the stars and basic astronomy with a set of star maps, plus in depth looks at some of the stars featured, with a  bonus section on the solar system. Amazon says it’s a hardback, but in fact it’s a paperback with a rather ingenious cover – you can’t tell from the photo, but the words ‘The Star Book’ are punched through as a series of holes that show the white paper of the next page beneath. Like many astronomy/space books, the cover lacks shelf appeal because it is mostly black, but at least there is some original thought here. Unlike many books in this format which tend to concentrate on the pictures, there is a good deal of excellent text by Peter Grego, so there was no feeling that you were only getting the star maps and star ‘biographies’, something these days much more suited to an iPad or smartphone app. Instead, the opening 30 or so pages give a very good introduction that would be valuable to ...

Ignorance: How it drives science – Stuart Firestein *****

This is a delightful little book that really gets you thinking. I stress the ‘little’ part not as a negative, but as a good thing. There is nothing worse than fat, bloated popular science books where the author feels they have to get 120,000 words to be taken seriously. This is the sort of book that can be read in a couple of hours – but you will get so much more out of it than one of those tedious doorstops. The premise underlying the book is in once sense extremely simple, yet is fundamental to an understanding of what science is and what scientists do. And it is an understanding that is totally at odds with the typical way science is portrayed both in university lectures and popular science books. As Stuart Firestein points out, what is important is not the facts, but rather the area of ignorance. The interesting part and the fundamental heart of science is not about what we know, but about what we don’t know and where we want to look next. Take this lovely quote: ‘Working ...