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Jennifer Marohasy

Jennifer Marohasy

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Rainfall forecasting

Myth and the Bureau of Meteorology

March 5, 2014 By jennifer

WE know that the Australian Bureau of Meteorology can’t forecast weather more than a few days out. So why should we believe a climate forecast to 2030?

According to Sara Phillips, writing for the Australian Broadcasting Corporation, the Bureau’s new State of the Climate 2014 report is a reliable source of information because it distils hundreds of experiments into three consistent reports.BOM

In fact there are few if any experiments that have been distilled in the writing of the reports. Rather Bureau staff have ran some computer simulations designed to produce a particular output, and combined this with homogenised and adjusted historical records again designed to produce a particular result. Conclusions include:

1. Australia’s climate has warmed by 0.9°C since 1910, and the frequency of extreme weather has changed, with more extreme heat and fewer cool extremes.

2. Global mean temperature has risen by 0.85°C from 1880 to 2012.

When I wrote to the Bureau in January asking why the national average is only calculated back to 1910, I received a reply explaining that data prior to 1910 “is often fragmented and of uncertain or low quality”. If this were the case, it begs the question how a global mean temperature can be calculated back to 1880?

This is one of seven questions I’ve put to Greg Hunt, Minister for the Environment, in a letter dated 4th March 2014. Minister Hunt is ultimately responsible for the operations of the Bureau and I’m of the opinion their operations deserve close scrutiny.

There is this myth that the Bureau is comprised of hard working scientists providing, like the Australian Broadcasting Corporation, information without bias or agenda. More likely the Bureau, like the mainstream climate science community more generally, has become somewhat compromised.

Of particular concern to me, is the Bureau’s decision of last June, to discard the statistical models that had been used to generate seasonal rainfall forecasts in favour of a general circulation model that has no predictive skill at all. I have documented the absence of skill in the general circulation model in a peer-reviewed paper recently published in the journal Atmospheric Research (Volume 138, Pages 166-178).

I conclude my letter to Minster Hunt with comment that:

If the temperature record for Australia can be extended back to 1860, providing an additional 50 years of data, then this should be a priority. This information is more important than the calculation of a national average temperature. If data is to be adjusted and homogenized then the methodology applied needs to be clearly stated. Indeed having access to all the available records as far back as possible is important because it helps unravel the true features of the natural climate cycle, a goal that meteorologists and astronomers were working towards well before the establishment of the Bureau in 1908.

In arriving at theories that explain the natural world, the best scientists always use all the available data, not just the data that happens to fit a particular viewpoint. Furthermore, long historical data series are critical for statistical methods of rainfall forecasts, including the application of artificial neural networks that can currently provide more skillful forecasts than POAMA, the general circulation model currently used by the Bureau to produce the official forecasts. That the Bureau persists with POAMA, while failing to disclose to the Australian public the absence of any measurable skill in its monthly and seasonal forecasts, should be of grave concern to the Australian parliament.

My letter to the Minister can be read in its entirety here: https://jennifermarohasy.com.dev.internet-thinking.com.au/questions-for-the-australian-bureau-of-meteorology/

Filed Under: Information, News, Opinion Tagged With: Climate & Climate Change, Rainfall forecasting, Temperatures

ABC Rural Reports on New Rainfall Forecast Model

February 22, 2014 By jennifer

ABOUT one week after Central Queensland University put out a media release announcing the publication of our latest paper on medium-term rainfall forecasting, John Abbot and I received a phone call from the ABC, from a rural reporter.

Part of the interview with Professor Abbot can be heard online here, http://www.abc.net.au/news/2014-02-21/nrn-forecast/5275122

ABC journalists Cassie Hough and Kathleen Calderwood have also written a short article based on the interview in which they effectively capture the key points, http://www.abc.net.au/news/2014-02-21/nrn-forecast/5275122

And following is a succinct summary of the interview by one of the media monitoring services:

“New research from the University of Central Qld shows medium-term rainfall forecasts may be more accurately predicted by a form of artificial intelligence, which aim to predict the weather through pattern detection, and predicts not what the weather will do day-to-day, but in a month or more. John Abbot, researcher, says he was motivated to do the research after the huge flood at the start of 2011.

Abbot talks about how his research works, and the problems with modern-day weather forecasting systems, and says farmers and mine-operators need accurate data as opposed to vagaries. Abbot says he would like the Bureau of Meteorology take more interest in what he is doing.”

John Abbot

The paper can be downloaded from Science Direct, with full open access available until March 26, here,
http://elsarticle.com/1ej97n3

[Open access until March 26, 2014]

Highlights include:

1. Artificial neural networks are developed to forecast monthly rainfall for localities in Queensland.

2. Comparative utility of input variables, including local maximum and minimum temperatures, is tested in the artificial neural network.

3. The Inter-decadal Pacific Oscillation, IPO, is found to have utility for rainfall forecasting.

4. Artificial neural networks forecasts are superior to Australian Bureau of Meteorology official seasonal and monthly forecasts.

Filed Under: Information Tagged With: Rainfall forecasting

General Circulation Models Can’t Forecast Seasonal Rainfall

February 14, 2014 By jennifer

I’ve just published in the peer-reviewed literature explaining:

“Much of the present research effort by government institutions in Australia, which is focused on monthly and seasonal rainfall forecasts, is limited to the application of general circulation models, in particular, POAMA. However, results so far have been disappointing with medium-term monthly forecasts consistently about equivalent to, or worse than, climatology, Table 4. Nevertheless in June 2013, POAMA was adopted as the system for generating the BOM’s official seasonal forecasts.”

http://www.sciencedirect.com/science/article/pii/S0169809513003141
[Open access until March 26, 2014]

In short, the Bureau could better serve the Australian public by just updating and publishing the long-term average rainfall each month for localities for which it has statistics, rather than pretending it can generate a reliable forecast. And I offer the same advice to the UK Met Office which yet again botched its seasonal weather forecast. The following quotes via Benny Peiser at The Global Warming Policy Foundation.Birmingham duck pon

BUNGLING weather bosses predicted a drier than usual winter, it has emerged. The Met Office’s staggeringly inaccurate forecast was made at the end of November last year – just a month before the record-breaking deluge began. And the agency gave just a one in seven chance the three following months would “fall into the wettest category”. On Nov 21, its experts predicted: “For the December-January-February period as a whole, there is a slight signal for below-average precipitation”. The calamitous estimate emerged as Downing Street dubbed the devastation caused by the floods as “Biblical”. –Tom Newton Dunn, Political Editor, The Sun, 11 February 2014 [Read more…] about General Circulation Models Can’t Forecast Seasonal Rainfall

Filed Under: Information Tagged With: Rainfall forecasting

Mining Historical Data to Provide Better Medium-term Rainfall Forecasts

February 9, 2014 By jennifer

THERE are at least 3 practical ways in which medium-term rainfall forecasts for Queensland can be improved:Rain drops on water

1. Through the use of sophisticated statistical modelling techniques, in particular artificial neural networks to mine historical data for recurrent patterns,

2. The incorporation of relevant climate indices, including the Inter-decadal Pacific Oscillation, and also

3. The presentation of forecasts as charts showing total forecast rainfall, rather than as coloured maps with assigned probabilities.

And there is a fourth suggestion, also detailed in the recent paper by myself and John Abbot that has just been made available for free download by Elsevier, publishers of the journal Atmospheric Research.

The link is here: http://elsarticle.com/1ej97n3

Free access will only be available until March 26, 2014. Enjoy!

Filed Under: Information, News Tagged With: Rainfall forecasting

Costly Climate Model Just a Big Boy’s Toy

December 13, 2013 By jennifer

THE only difference between some men and many boys is the price of their toys. This observation has much relevance to decisions made over recent years at the Australian Bureau of Meteorology, BOM.

A toy is a game, a gadget, a gizmo that may have no real practical value. But of course it is fun to play with.

They have a lot of fun at the BOM playing with General Circulation Models. These models, run on supercomputers, are essentially about attempting to forecast future and past climate including cyclones, droughts and ice sheets crashing into the Southern Ocean. The super computers are worth tens of millions of dollars and there are over 130, mostly big boys, playing with them from 9am until 5pm Monday to Friday at the BOM in Melbourne.

It all happens at considerable expense to the Australian taxpayer and I say they do little more than play, because the output from their favorite model generates mostly nonsense at least when it comes to that most important of all climate variable for Australians – rainfall.Screen Shot 2013-12-13 at 1.53.27 PM

The BOM has directed most of its research efforts over recent decades towards modeling climate systems as part of a global effort that began back in the 1950s when a small team of American scientists set out to model the atmosphere as an array of thousands of numbers. [Read more…] about Costly Climate Model Just a Big Boy’s Toy

Filed Under: Information Tagged With: Rainfall forecasting

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Jennifer Marohasy Jennifer Marohasy BSc PhD has worked in industry and government. She is currently researching a novel technique for long-range weather forecasting funded by the B. Macfie Family Foundation. Read more

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To get in touch with Jennifer call 0418873222 or international call +61418873222.

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