The Met Office brings doom to a place near you

http://www.eol.ucar.edu/projects/vocals/logos/met_office_logo.jpg

The Met Office brings doom to a place near you

Guest post By Tony Newbery, Harmless Sky

On Thursday, the Met Office launched its new report on global warming, UK Climate Predictions 2009 otherwise known as UKCP09. This is based on the output of Hadley Centre climate models that predict temperature increases of up to 6°C with wetter winters, dryer summers, more heatwaves, rising sea levels, more floods and all the other catastrophes that one would expect from similar exercises in alarmism.

What makes this report different from any of its predecessors is the resolution of the predictions that the Met Office is making. They are not just presenting a general impression of what might happen globally during this century, or even how climate change could affect the UK as a whole. They are claiming that they can predict what will happen in individual regions of the country. Apparently there is even a page somewhere on their website where you can enter your postcode and find out how your street will be affected by global warming in 2040 or 2080, although I’ve failed to find it.

All this is rather unexpected. In May last year, I posted here and here about a world summit of climate modellers that took place at Reading University. On the agenda was one very important problem for them; even the most powerful super-computers that have been developed so far are not capable of running the kind of high resolution models that they claim would allow them to reduce the degree of uncertainty in their predictions and also make detailed regional predictions that policy makers would like to have so that they can build climate change into infrastructure planning.

Here are a couple of excerpts from the conference website:

The climate modelling community is therefore faced with a major new challenge: Is the current generation of climate models adequate to provide societies with accurate and reliable predictions of regional climate change, including the statistics of extreme events and high impact weather, which are required for global and local adaptation strategies? It is in this context that the World Climate Research Program (WCRP) and the World Weather Research Programme (WWRP) asked the WCRP Modelling Panel (WMP) and a small group of scientists to review the current state of modelling, and to suggest a strategy for seamless prediction of weather and climate from days to centuries for the benefit of and value to society.

A major conclusion of the group was that regional projections from the current generation of climate models were sufficiently uncertain to compromise this goal of providing society with reliable predictions of regional climate change.

My emphasis

http://wcrp.ipsl.jussieu.fr/Workshops/ModellingSummit/Background.html

Current generation climate models have serious limitations in simulating regional features, for example, rainfall, mid-latitude storms, organized tropical convection, ocean mixing, and ecosystem dynamics. What is the scientific strategy to improve the fidelity of climate models?

http://wcrp.ipsl.jussieu.fr/Workshops/ModellingSummit/Expectations.html

This was summed up by Julia Slingo (at that time Professor of Meteorology at Reading University, who also chaired part of the conference) in a report by Roger Harrabin on the  BBC News website:

So far modellers have failed to narrow the total bands of uncertainties since the first report of the Intergovernmental Panel on Climate Change (IPCC) in 1990.

And Julia Slingo from Reading University admitted it would not get much better until they had supercomputers 1,000 times more powerful than at present.

“We’ve reached the end of the road of being able to improve models significantly so we can provide the sort of information that policymakers and business require,” she told BBC News.

“In terms of computing power, it’s proving totally inadequate. With climate models we know how to make them much better to provide much more information at the local level… we know how to do that, but we don’t have the computing power to deliver it.”

Professor Slingo said several hundred million pounds of investment were needed.

“In terms of re-building something like the Thames Barrier, that would cost billions; it’s a small fraction of that.

“And it would allow us to tell the policymakers that they need to build the barrier in the next 30 years, or maybe that they don’t need to.”

http://news.bbc.co.uk/1/hi/sci/tech/7381250.stm

If, since the conference, several hundred million pounds had been invested in producing a new generation of supercomputers, a thousand times more powerful than the present generation, and the Met Office had already developed and run the kind of high resolution models which were so far beyond the scientist’s grasp just a year ago, then I suspect that this might have seeped into the media and I would have head about it. So far as I am aware, the fastest supercomputers are still a thousand times slower than the modellers considers necessary for credible regional scale modelling of the climate.

So I wondered whether Professor Slingo had anything to say about the Met Office’s new report, and googled accordingly:

“Through UKCP09 [UK Climate Predictions 2009] the Met Office has provided the world’s most comprehensive regional climate projections with a unique assessment of the possible changes to our climate through the rest of this century.

“For the first time businesses and other organisations have the tools to help them make risk-based decisions to adapt to the challenges of our changing climate.”

http://www.clickgreen.org.uk/news/national-news/12259-landmark-science-warns-britain-is-facing-dangerous-climate-change.html

In an article headlined, U.K. Says New Climate Forecast to Cut Long-Term Planning Risks on the Bloomberg website:

Until today, projections didn’t distinguish between the likely consequences of climate change in the southeast of the nation compared with the northwest, for instance. “We can attach levels of certainty,” Julia Slingo, ….. told reporters today in London.

http://www.bloomberg.com/apps/news?pid=20601102&sid=ae6gM9bGo2Jw

So what’s changed since last year? Well one thing is that Julia Slingo has a new job. She has been appointed as  Chief Scientist at the Met Office. So far as I know, the limitations that lack of computing power place on the accuracy and resolution of models are just the same.

During a rather bad-tempered interview on Thursday evening’s Newsnight, Kirsty Wark asked Hilary Benn, the UK Environment Secretary, why local authorities were being told to use the Met Office predictions as a template for infrastructure planning when their report had not been peer reviewed and the authors had postponed publication of information about the methodology that they had used. She also told him that there was considerable concern among other climate scientists about the Met Office’s research.

Myles Allen made an appearance on the programme warning that local authorities should be very wary about planning infrastructure projects on the basis of climate models unless they were very sure that the science was robust.

Mr Benn parroted the usual mantras without addressing the questions, and looked as though he would have much preferred to be elsewhere.

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Chris Schoneveld
June 21, 2009 10:32 am

I didn’t realize that the garbage-in/garbage-out principle could be circumvented with more computer power.

JFA in Montreal
June 21, 2009 1:31 pm

At least, in the old days of reading fish entrails, it ended to be much cheaper to taxpayers…

newbery
June 22, 2009 3:28 am

The BBC’s Science Correspondent, Pallab Ghosh, has some interesting background on this controversy here: http://news.bbc.co.uk/1/hi/sci/tech/8106513.stm

June 22, 2009 4:14 am

Totally reckless and irresponsible, unless the MetO can show us exactly how natural variation of the climate functions, they should all get the cane!
Jim H (17:29:39) :
I’m trying to make hay at the moment in the UK, and the Met office weather forecasts aren’t making it any easier! They aren’t able to predict with any degree of accuracy more than a day or so ahead (I need 5-7 dry sunny days to make good hay). So how they can predict 70 years ahead with such confidence beats me.
I`ll do you a long range forecast, mail me, ulriclyons at gmail dot com.

Stephen Wilde
June 23, 2009 3:43 am

bill (05:55:29)
Interesting.
Using a 1961 to 2000 baseline brings in all the colder UK winters of the 60s and in particular the exceptionally cold Spring months of 1963.
No wonder they can get the early months of 2009 to look warmer than ‘average’ even though those months actually represent a return to more normal temperatures after the 1975 to 2000 warming spell.
If it keeps getting cooler they will have to take the baseline period back to the exceptionally cold and snowy Spring of 1947.

Neil
June 25, 2009 9:07 am

Sadly , only for UK citizens, but :
http://petitions.number10.gov.uk/CRUSourceCodes/
Now if someone could start another re the data , which I missed out, and it won’t let me edit , they will still ignore it !!!!!