No Global Plan from COP21 Paris to Reduce Greenhouse Gas Emissions

Headline news around the world is that a landmark global agreement has been reached.

The BBC headlines

A deal to attempt to limit the rise in global temperatures to less than 2C has been agreed at the climate change summit in Paris after two weeks of negotiations.

The Australian ABC News summarizes

Historic climate deal

  • Deal to limit global warming to “well below” 2C, aiming for 1.5C
  • Greenhouse gas emissions need to peak “as soon as possible”, followed by rapid reduction
  • Deal will eliminate use of coal, oil and gas for energy

Folha de Sao Paulo

A COP21 aprovou neste sábedo (12) em Paris o acordo que obriga pela primeira vez todos os paises signatarios da Convençāo de Clima (1992) a adotar medidas de combate ao aquecimento global.

O chamado Acordo de Paris estabelece que a temperatura global, a partir de agora, só poderá subir ate um teto de “bem menos” de 2oC, na direçāo de 1,5oC.

There is something missing – a plan to cut global greenhouse gas emissions. This is clear from reading paragraphs 17 and 21 of the Agreement.

As I started a couple of weeks ago, the INDCs are not on target for the limiting to 2oC of warming. That would require emissions to be decreasing by 2030. The follow graph from the UNFCCC Synthesis Report on the aggregate effect of the INDCs states this quite clearly.

The 55 gigatonnes forecast in yellow and the required 40 gigatonnes in 2030 are visible. The graphical summary is now recognized within the agreement. Rather than say that genuine emissions reduction plans should be forthcoming, the UNFCCC asks the UNIPCC for some more scary stories and some more modelled emissions forecasts. There is a lot of hot air, but no global plans at all to reach any 2oC target. Nor will there be any global plans in place next year when the leaders of all countries will be asked to sign this agreement.

The Los Angeles Times explains (italics mine)

What is the main goal of the deal?

The stated goal among global climate negotiators has long been to reduce emissions enough so that global temperatures rise no more than 2 degrees Celsius, or 3.6 degrees Fahrenheit, by 2100. That is the level at which scientists say the most catastrophic effects of climate change can be avoided.

That goal was not met in Paris, but few people expected it to be. The commitments that countries made will limit warming to only about 3 degrees. But the agreement includes provisions for revisiting emissions goals every five years with the intention of regularly revising them upward “to reach global peaking of greenhouse gas emissions as soon as possible.”

Now there are going to be five yearly super-summits to try to achieve the point where global emissions will start reducing.

Kevin Marshall

UNFCCC Massively Overstates Impact of INDCs on 2100 Emissions

At the end of October UNFCCC Executive Secretary Christiana Figueres was reported by the BBC as saying

The INDCs have the capability of limiting the forecast temperature rise to around 2.7C by 2100, by no means enough but a lot lower than the estimated four, five, or more degrees of warming projected by many prior to the INDCs.

In the context of the objective of limiting prospective global warming to 2C this statement gives encouraging news. Already the policy proposals are most of the way towards that objective, so a final push at COP21 in Paris is all that is required.

Summary

The analysis by the UNFCCC shows that the policy proposals contained within the INDCs will make very little difference to trends in global emissions of greenhouse gases to 2030. In the accompanying literature, the UNFCCC makes no projections of the difference the INDCs will make beyond 2030. The claim that policy will limit forecast temperature rise to the 2.7C by 2100 is claimed by two other organisations, and is only referenced in a table at the very end of a separate technical annex without any discussion or endorsement. One of these, the IEA, achieves the projection by, post 2050, replacing forecasts contingent on the policy impact of the INDCs with an average of modelled RCP emissions pathways. The RCP website explicitly states that they are not forecasts of potential emissions or climate change, whether with or without policy action. It also states that any of the differences between the pathways be directly attributed to policy differences. The IEA thus replaces real emissions forecasts with data that is unrelated to the real world. The other claim, by Climate Action Tracker, has no explicit statement of how the increasing global emissions through to 2030 start tracking downwards post 2030. Contributing factors may include understating the emissions impact of India and China, along with excluding the likely increasing emissions in the coming decades from the poorest nations.

The claim that any agreement reached in Paris based on the INDCs will constrain to global average temperature rise to 2.7C by 2100 through constraining GHG emissions is therefore unsupported by any rigorous forecast of the policy impact in the referenced documents. Such forecasts are based on making a forecast without policy, then modelling the impact policy will make, stating the assumptions. With 40,000 people attending a conference, the UNFCCC could surely have set aside a couple of million dollars to obtain such a forecast from genuine experts.

In Detail

If Christiana Figueres is correct, the INDC submissions, covering the period 2015-2030 have dramatically changed the course of prospective warming getting two-thirds of the distance between the non-policy and the target of limiting warming to two degrees. Bjorn Lomborg’s recent paper “Impact of Current Climate Proposals” published in the Global Policy journal stated

All climate policies by the US, China, the EU and the rest of the world, implemented from the early 2000s to 2030 and sustained through the century will likely reduce global temperature rise about 0.17°C in 2100. These impact estimates are robust to different calibrations of climate sensitivity, carbon cycling and different climate scenarios. Current climate policy promises will do little to stabilize the climate and their impact will be undetectable for many decades.

Having read the policy proposals on a large number of INDCs I concur with Lomborg. There is very little in the INDCs that will alter the future course of warming. So why the difference between my reading and the UNFCCC? The Executive Secretary has the World’s leading experts behind her, so there must be substantial support for the claim. The BBC article provides a link to the UNFCCC Synthesis report on the aggregate effect of INDCs. The link is to a number of documents. The main document makes no attempt to project forward the policy impacts to 2100. In fact if it did, the prognosis would be similar to Lomborg’s. The main graphic in Figure 2, also as a separate file, is shown below.

The orange is the pre-INDC pledges, the yellow the INDCs and the blues various scenarios to stay below two degrees.

To the right is two graphics for 2025 and 2030. The yellow arrow is “Reduction due to INDCs” and the blue arrow “Remaining reduction for least-cost mitigation“. For 2030 the INDCs seem to get a quarter of the way to the desired reduction. There is nothing about trends beyond 2030. The graphic could not be clearer. If the INDCs are to obtain constrain emissions consistent to the 2C of warming, the increasing trend from 2010 to 2030 would have to be rapidly turned into a decreasing trend post 2030, with global emissions reduced by half in two decades. As the non-policy trend is for about 4.5C of warming, then to obtain a 2.7C forecast requires the INDCs to collectively cause emissions to peak and then start a downward trend.

It is clear that there is no mention at all of the 2.7C of warming by 2100. No bridge of the 70 years from the period covered by the INDCs to the end of the century. What is more there is nothing in the aggregate policy contained in INDCs that would cause global emissions to first peak, then be set on a downward trend. So where is the reference?

For that you need to look in the Technical Annex section M. Summary of results from other studies. Even then the text does not mention 2100, but table 6 does.

Instead of the UNFCCC making projections to 2100 on the basis of the INDCs for themselves, they use those of others. Yet the UNFCCC should have the expertise in projecting the impact of policy. I will look at three – that of another UN organisation and the two estimating 2.7C resulting from the INDCs.

UNEP Gap Report

The link within the footnote to table 6 is to the Executive Summary of the UNEP Emissions Gap Report 2015. The proper reference should have been to all the documents related to the Gap Report found here. The Executive Summary states

Full implementation of unconditional INDC results in emission level estimates in 2030 that are most consistent with scenarios that limit global average temperature increase to below 3.5 °C until 2100 with a greater than 66 per cent chance.

There is no actual projection from the INDCs. Rather, it looks at the emissions levels and emission trends in 2030 and compares them with modelled estimates that are similar. It is these modelled estimates that produce the 3.5C of warming in 2100. There is no reconciliation between the country-by-country INDCs and the overall global emissions scenarios. Rather it is just picking estimates that seem to fit at a global level. In terms of assessing the impacts of policy it is useless, as the modelled estimates may be markedly different from a forecast based on the latest information.

International Energy Agency (IEA) World Energy Outlook 2015

The link within the footnote to table 6 is to a press release for the IEA’s World Energy Outlook 2015. The footnote d. to table 6 gives an explanation of how the 2.7C projection was arrived at. In particular is the final point

To assess the impact on global average temperature increase, we used MAGICC with an emissions pathway post-2050 in between the representative concentration pathways (RCP) 4.5 and (RCP) 6 scenarios from the IPCC’s Fifth Assessment Report as this was interpreted as representing the best available trajectory compatible with IEA’s INDC Scenario.

The RCP (“Representative Concentration Pathways”) scenarios are explained on the RCP website

RCP 4.5: … is a stabilization scenario where total radiative forcing is stabilized before 2100 by employment of a range of technologies and strategies for reducing greenhouse gas emissions.

RCP 6.0: … is a stabilization scenario where total radiative forcing is stabilized after 2100 without overshoot by employment of a range of technologies and strategies for reducing greenhouse gas emissions.

Under “Characteristics and guidance” the website states (bold mine):-

The RCPs are named according to their 2100 radiative forcing level as reported by the individual modeling teams. …….

The RCPs are not forecasts or boundaries for potential emissions, land-use, or climate change. They are also not policy prescriptive in that they were chosen for scientific purposes to represent the span of the radiative forcing literature at the time of their selection and thus facilitate the mapping of a broad climate space. They therefore do not represent specific futures with respect to climate policy action (or no action) or technological, economic, or political viability of specific future pathways or climates. …..

The RCPs are four independent pathways developed by four individual modeling groups. The socioeconomics underlying each RCP are not unique; and, the RCPs are not a set or representative of the range of potential assumptions. …. The differences between the RCPs can therefore not directly be interpreted as a result of climate policy or particular socioeconomic developments. Any differences can be attributed in part to differences between models and scenario assumptions (scientific, economic, and technological).

The IEA has therefore used a hybrid of emissions scenarios as emissions forecasts to assess the impact policy when the group producing them has specifically said that these scenarios are not directly comparable and should not be used for policy purposes. In so doing, they implicitly make a set of assumptions about policy that may not relate to the real world and are definitely not related to the policies proposed within the INDCs.

Climate Action Tracker (CAT)

CAT tracks the INDCs from 32 nations that currently have about 80% of global emissions. Their estimate of the INDC impact until 2030 is broadly consistent with the UNFCCC. However, I am not sure where they obtain the historical emissions figures. For countries they appear to be from the World Resources Institute CAIT2.0. CAIT2.0 figures which are slightly different from those in the UNFCCC Country Briefs, but not markedly so in total. CAT’s methodology does have the advantage of providing a breakdown by country until 2030 between the BAU, but beyond 2030 details are distinctly hazy. The 2.7C claim is made on a briefing of 1st October 2015. The main graph behind the 2.7C estimate is reproduced below.

The impact of the INDCs is to see emissions peak about 2030, then gently fall through to the end of the century. From the detailed explanation it is not possible to determine how the emissions peak at the level as collectively the INDCs appear to show an upward trend. The reasons for this are probably from the following:-

India – The INDC that estimates a tripling of emissions between 2014 and 2030 was not available when the briefing was published, which only assumes a doubling. The country assessment for India then tries to reconcile the difference by some fancy assumptions (lower economic growth rates and a higher emissions intensity reduction than in the INDC), without adjusting the overall assessment. If CAT’s 5GtCO2e estimate of 2030 emissions turns out to be correct (9% of global emissions), it will only be emissions growth delayed not a lower emissions peak. It is unlikely that India’s emissions will peak at less than 10GtCO2e, equivalent to over 20% of 2010 global emissions.

China – will likely reach peak emissions prior to 2030, but that peak will be likely higher than the 13.6GtCO2e forecast The CAT country assessment admits this is the case, but makes no allowance in the emissions forecast.

Missing Countries – Most of Africa, along with Pakistan, Vietnam, Bangladesh, Thailand and Myanmar are missing from the sample. Collectively their current emissions are small, but in the coming decades the share will rise. Africa’s emissions will rise as most of the global population increase in the latter half of the century is forecast to be within the continent. In South Asia there is already economic growth above the world average that will likely continue as the poorer countries follow in the wake of India. By 2100 these countries could collectively have emissions greater than current emissions of the OECD and China combined.

Ambiguities in the INDCs – Many of the INDCs are highly ambiguous. The historical figures are inconsistent; the forecasts are opaque; some key figures are missing; and it is not clear if some pledges in the INDC are in addition to the others, or part of the whole. CAT maximises the impact, rather than trying to frame questions for the submitting countries to clarify. There should be an assessment of these pledge risk factors. These will likely reduce the estimated policy impact.

Without any other hidden assumptions, CAT’s methods are likely to massively overstate the impact of policy. Critically is how increasing global emissions though to 2030 become decreasing global emissions post 2030. As inferred above, I believe it is due to systematic understating emission projections in the sample countries and ignoring the growth in the other countries. It may also be due to making further policy assumptions for the period beyond 2030. We will only be able to assess the impact if CAT provide a full country-by country projections of emissions in 2100 for the sample countries for both BAU and with INDC scenarios, along with projections for the rest of the world. Putting the figures on a table, rather than spending time creating graphs from which figures have to be estimated, would ease the process. If proper forecasts have been generated (that is making a forecast without policy, then modelling the impact policy will make) then the outline figures will be available already.

Concluding Comments

The UNFCCC presents no evidence that policy contained within the INDC submissions will make more than a small difference to global emissions in 2100. Instead they rely on external organisations. One quite clearly substitutes real world forecasts with emissions scenarios that do not relate to real world situations, and assume implementation of policy quite different to that contained with the INDCs. The other is likely to have massively overstated the policy impacts, but a lack of any clear statements as to how the conclusions were arrived at means quantification is not possible. The claims that the policy pledges within the INDCs will massively alter global emissions levels in the latter part of this century (and, subject to the climate models being broadly correct, the rise in global average temperatures) are without any proper foundation. The UNFCCC Executive Secretary Christiana Figueres is has made a misleading statement to drive through policies that are both costly and ineffective.

Such forecasts are based on making a forecast without policy, then modelling the impact policy will make, stating the assumptions. With 40,000 people attending a conference, the UNFCCC could surely have set aside a couple of million dollars to obtain a rigorous forecast from leading experts in that field. The methodology is fairly straightforward. It requires making a forecast for each country without policy, then modelling the impact policy will make, stating the assumptions. The important parts are data gathering, adhering rigorously to a consistent method and leaving an audit trail.

Kevin Marshall

aTTP falsely attacks Bjorn Lomborg’s “Impact of Current Climate Proposals” Paper

The following is a comment to be posted at Bishop Hill, responding to another attempt by blogger ….andThenThere’sPhysics to undermine the work of Bjorn Lomborg. The previous attempt was discussed here. This post includes a number of links, as well as a couple of illustrative screen captures at the foot of the table.

aTTP’s comment is

In fact, you should read Joe Romm’s post about this. He’s showing that the INDCs are likely to lead to around 3.5C which I think is relative to something like the 1860-1880 mean. This is very similar to the MIT’s 3.7, and quite a bit lower than the RCP8.5 of around 4.5C. So, yes, we all know that the INDCs are not going to do as much as some might like, but the impact is likely to be a good deal greater than that implied by Lomborg who has essentially assumed that we get to 2030 and then simply give up.

Nov 11, 2015 at 9:31 AM | …and Then There’s Physics

My Comment

aTTP at 9.31 refers to Joe Romm’s blog post of Nov 3 “Misleading U.N. Report Confuses Media On Paris Climate Talks“. Romm uses Climate Interactive’s Climate Scoreboard Tool to show the INDC submissions (if fully implemented) will result in 3.5°C as against the 4.5°C in the non-policy “No Action” Scenario. This is six times the claimed maximum impact of 0.17°C claimed in Lomberg’s new paper. Who is right? What struck me first was that Romm’s first graph, copied straight from the Climate Interactive’s seem to have a very large estimate for emissions in the “No Action” Scenario producing. Downloading the underlying data, I find the “No Action” global emissions in 2100 are 139.3 GtCO2e, compared with about 110 GtCO2e in Figure SPM5(a) of the AR5 Synthesis Report for the RCP8.5 scenario high emissions scenario. But it is the breakdown per country or region that matters.

For the USA, without action emissions are forecast to rise from 2010 to 2030 by 40%, in contrast to a rise of just 9% in the period 1990 to 2010. It is likely that emissions will fall without policy and will be no higher in 2100 than in 2010. The “no action” scenario overestimates 2030 emissions by 2-3 GtCO2e in 2030 and about 7-8 GtCO2e in 2100.

For the China the overestimation is even greater. Emissions will peak during the next decade as China fully industrializes, just as emissions peaked in most European countries in the 1970s and 1980s. Climate Interactive assumes that emissions will peak at 43 GtCO2e in 2090, whereas other estimates that the emissions peak will be around 16-17 GtCO2e before 2030.

Together, overestimations of the US and China’s “No Action” scenarios account for over half 55-60 GtCO2e 2100 emissions difference between the “No Action” and “Current INDC” scenarios. A very old IT term applies here – GIGO. If aTTP had actually checked the underlying assumptions he would realise that Romm’s rebuttal of Lomborg based on China’s emission assumptions (and repeated on his own blog) are as false as claiming that the availability of free condoms is why population peaks.

Links posted at https://manicbeancounter.com/2015/11/11/attp-falsely-attacks-bjorn-lomborgs-impact-of-current-climate-proposals-paper/

Kevin Marshall

 

Figures referred to (but not referenced) in the comment above

Figure 1: Climate Interactive’s graph, referenced by Joe Romm.


Figure 2: Reproduction of Figure SPM5(a) from Page 9 of the AR5 Synthesis Report.

 

Update – posted the following to ATTP’s blog



 

Lomborg and the Grantham Institute on the INDC submissions

Bjorn Lomborg has a new paper published in the Global Policy journal, titled: Impact of Current Climate Proposals. (hattip Bishop Hill and WUWT)

From the Abstract

This article investigates the temperature reduction impact of major climate policy proposals implemented by 2030, using the standard MAGICC climate model. Even optimistically assuming that promised emission cuts are maintained throughout the century, the impacts are generally small. ………… All climate policies by the US, China, the EU and the rest of the world, implemented from the early 2000s to 2030 and sustained through the century will likely reduce global temperature rise about 0.17°C in 2100. These impact estimates are robust to different calibrations of climate sensitivity, carbon cycling and different climate scenarios. Current climate policy promises will do little to stabilize the climate and their impact will be undetectable for many decades.

That is pretty clear. COP21 in Paris is a waste of time.

An alternative estimate is provided in a paper by Boyd, Turner and Ward (BTW) of the LSE Grantham Institute, published at the end of October.

They state

The most optimistic estimate of global emissions in 2030 resulting from the INDCs is about halfway between hypothetical ‘business as usual’ and a pathway that is consistent with the 2°C limit

The MAGICC climate model used by both Lomborg & the IPCC predicts warming of about 4.7°C under BAU, implying up to a 1.35°C difference from the INDCs, compared to the 0.17°C maximum calculated by Lomborg, 8 times the amount. Lomborg says this is contingent on no carbon leakage (exporting industry from policy to non-policy countries), whilst citing studies showing that it could offset 10-40%, or even over 100% of the emissions reduction. So the difference between sceptic Lomborg and the mighty LSE Grantham Institute is even greater than 8 times. Yet Lomborg refers extensively to the August Edition of BTW. So why the difference? There is no explicit indication in BTW of how they arrive at their halfway conclusion. nor a comparison by Lomborg.

Two other estimates are from the UNFCCC, and Climate Action Tracker. Both estimate the INDCs will constrain warming to 2.7°C, or about 2.0°C below the MAGICC BAU scenario. They both make assumptions about massive reductions in emissions post 2030 that are not in the INDCs. But at least the UNFCCC and CAT have graphs that show the projection through to 2100. Not so with BTW.

This is where the eminent brain surgeons and Nobel-Prize winning rocket scientists among the readership will need to concentrate to achieve the penetrating analytical powers of a lesser climate scientist.

From the text of BTW, the hypothetical business as usual (BAU) scenario for 2030 is 68 GtCO2e. The most optimistic scenario for emissions from the INDCs (and pessimistic for economic growth in the emerging economies) us that 2030 emissions will be 52 GtCO2e. The sophisticated climate projection models have whispered in code to the climate scientists that to be on target for the limit of 2.0°C, 2030 emissions show be not more than 36 GtCO2e. The mathematicians will be able to determine that 52 is exactly halfway between 36 and 68.

Now for the really difficult bit. I have just spent the last half hour in the shed manically cranking the handle of my patent beancounter extrapolator machine to get this result. By extrapolating this halfway result for the forecast period 2010-2030 through to 2100 my extrapolator tells me the INDCs are halfway to reaching the 2.0°C maximum warming target.

As Bob Ward will no doubt point out in his forthcoming rebuttal of Bjorn Lomborg’s paper, it is only true climate scientists who can reach such levels of analysis and understanding.

I accept no liability for any injuries caused, whether physical or psychological, by people foolishly trying to replicate this advanced result. Please leave this to the experts.

But there is a serious side to this policy advocacy. The Grantham Institute, along with others, is utterly misrepresenting the effectiveness of policy to virtually every government on the planet. Lomborg shows by rigorous means that policy is ineffective even if loads of ridiculous assumptions are made, whether on climate science forecasting, policy theory, technological solutions, government priorities, or the ability of  current governments to make policy commitments for governments for decades ahead. My prediction is that the reaction of the Grantham Institute, along with plenty of others, is a thuggish denunciation of Lomborg. What they will not consider is the rational response to wide differences of interpretation. That is to compare and contrast the arguments and the assumptions made, both explicit and implicit. 

Kevin Marshall

WORLD RESOURCES INSTITUTE and Indonesian Emission Figures

In looking at the Indonesian INDC submission, I came across a confusing array of estimates for Indonesia’s total greenhouse gas emissions. These are the ones I found.

Estimates of Indonesia’s Total Greenhouse Emissions in MtCO2e
Dataset

1990

2000

2005

2010

UNFCCC 1,101 1,444 2,829 1,908
EDGAR 1,165 622 1,171 745
WRI CAIT 2.0 1,026 1,372 1,584 1,928
WRI Blog   1,000 1,400 1,500
Indonesian Govt     1,800  

In graph format the figures are:-

The Indonesian INDC Submission says it will give unconditionally cut emissions by 29% from the BAU of 2881 MtCO2e, it means that in 2030 emissions will be about 100 MtCO2e lower than in 2005 not 1120 MtCO2e lower (UNFCCC) or 530 MtCO2e higher (EDGAR) . But on the basis of the UNFCCC or EGDAR figures by 2010 Indonesia had fallen by a third, so meeting the 2030 unconditional target should prove a doddle. Alternatively, use the World Resources Institute CAIT 2.0 data and Indonesia has unconditionally agreed something much more drastic. Between 2005 and 2010 emissions grow at 4% a year. On that trend, the 2030 BAU becomes 4200 MtCO2e, not 2881 MtCO2e, so the unconditional emissions “cut” is not 29% but 51%.

The worst example is contained in a graph about the Indonesian INDC Submission at the World Resources Institute Blog and reproduced below.

There are a number of things wrong with this graph, including

  • Scale is in KtCO2e, not MtCO2e.
  • Does not use WRI’s own CAIT 2.0. This is despite WRI claiming itprovides free access to comprehensive, reliable, and comparable greenhouse gas emissions data sets, as well as other climate-relevant indicators, to enable analysis on a wide range of climate-related data questions.
  • Nor does is there any trace of Indonesia’s claimed emissions 1800 Mt CO2e in 2005. So where does this wibbly-wobbly projection come from? The reference includes BAPPENAS 2015 – the Indonesian “National Development Planning Agency”. A search finds this graph.

The figure for 2005 is about 1400 MtCO2e, not the 1800 MtCO2e stated in the INDC. The Indonesian’s have fiddled their own unaudited figures to get a politically desired result – an easily achievable “reduction” in GHG emissions. Even worse, the WRI does check the data. There are minor points that the Indonesian “dalam ribu ton” translates on Google as “in thousand tons“, or that anyone who knows climate data would realize that 1,000,000 MtCO2e is greater than 49GtCO2e, the UNIPCCs AR5 global estimate of GHG emissions in 2010.

Finally, the Carbon Brief, in a recent article says that 1997 was a record for forest fires – a record that may be broken in 2015. Already 1600 MtCO2e has been emitted from forest fires. On this basis, therefore, 1997 total Indonesian emissions are likely to be well in excess of 2000 MtCO2e, and a considerable spike in the record.

The WRI CAIT 2.0 data, shows a minor spike. The narrower “GHG Emissions from Land-Use Change and Forestry” was estimated at 904 MtCO2e, as against 1321 MtCO2e in 2006. This is nowhere near the implied Carbon Brief 1997 emissions record. The figures

In summary, emissions figures for Indonesia are just arbitrary estimates, based on extremely limited and contradictory data. Both the WRI and the Indonesian Government cherry-pick data to suit their cause. Whether it is justified depends on the purpose. The WRI states their missions clearly.

That is to impose their environmentalist beliefs and perspectives on everybody else.

Indonesia’s INDC submission begins

This is, in my view, a far more rounded and focused mission. Against the environmentalist ideologies of the UNFCCC I believed that in manipulating figures Indonesia is serving the interests of 250 million Indonesians.

Kevin Marshall

Indonesia Outflanks the Climate Activists in its INDC Submission

I have spent a few weeks trying to make sense of the INDC submissions. One of the most impenetrable appeared to that from Indonesia. This view is shared by The Carbon Brief.

Uncertain emissions

As well as being hazy on policy and financing needs, it is also difficult to gauge the ambition of Indonesia’s INDC emissions targets. This is despite the document including a projected figure for BAU emissions in 2030 of 2.9bn tonnes of CO2 equivalent (GtCO2e).

The pledge to reduce emissions by at least 29% compared to this trajectory means an effective cap in 2030 of 2GtCO2e. With the more ambitious 41% reduction compared to BAU, the cap would be 1.7GtCO2e.

 

Similarly the World Resources Institute states

(T)he current draft contribution still displays several important gaps in transparency and ambition, which must be addressed before submitting a final INDC to the United Nations Framework Convention on Climate Change (UNFCCC). By eliminating these gaps, the Indonesian government could bring its contribution into line with international best practices on transparency, demonstrate leadership internationally by enhancing ambition, and help ensure success at COP 21.

The context from Indonesia’s perspective is stated in the opening paragraph of Indonesia’s INDC Submission.

In more basic language, Indonesia has more important and immediate priorities than “climate change“. From a national point of view, imposing drastic and ineffective policies will go against the Indonesian Government’s perceived duty to its people. This will happen regardless of the truth of the projected catastrophes that await the planet without global mitigation. The policies will be ineffective because most other emerging economies have similar priorities to Indonesia, and are taking similar measures of policy avoidance. In the case of Indonesia these are

  • Cherry-picking a base year.
  • Making reductions relative to a fictional “Business as Usual” scenario with inflated economic growth figures.
  • Making sure that even the most ambitious objectives achievable within the range of an objective forecast.
  • Focus the negotiations on achieving the conditional objectives subject to outside assistance. Any failure to reach agreement then becomes the fault of rich countries failing to provide the finance.
  • Allow some room to make last minute concessions not in the original submission, contingent on further unspecified outside assistance that is so vast the money will never be forthcoming.

The calculations to achieve the figures in the submissions are fairly simple to work out with a bit of patience.

 

Calculating the 2030 Business as Usual 2881 MtCO2e

The Indonesian INDC submission states that in 2005 total emissions were 1800 MtCO2e and combustion of fossil fuels were 19% of this total. That implies about 342 MtCO2e from the combustion of fossil fuels. The Carbon Dioxide Information Analysis Center (CDIAC1) has an estimated figure of 341.71 MtCO2e and the UNFCCC Country Brief in 2005 “CO2 emissions from fuel combustion” were 335.71 MtCO2e. For 20112 the CDIAC estimate is 472.53 MtCO2e, rounded to 473. Let us now assume a growth rate in emissions of 6.0% per annum from 2012 to 2030, against an economic growth rate of around 5.2% from 2000 to 2010 and 5.8% from 2005 to 20103. At 6.0% compound growth fossil fuel emissions in 20304 will be 1431 MtCO2e.

The non-fossil fuel emissions are a bit more problematic to work out. In 2005 the baseline estimate is 81% of 18005 is 1458. It is only a vague estimate, so round it down to 1450 and then assume it is constant for the Business as Usual (BAU) scenario.

The BAU 2030 total emissions forecast for Indonesia is therefore 1431 + 1450 = 2881 MtCO2e.

There might be other ways to derive this figure, but none are simpler and the figures do not fall out exactly.

 

How does Indonesia achieve the unconditional 29% reduction against BAU?

The easiest part to achieve is outside of fossil fuel emissions. The major cause of these emissions is in the reduction of the rainforests. The Carbon Brief is claims the biggest source of non-fossil fuel emissions is due to illegal forest clearances to grow palm oil. Although in 2015 the forest fires are closing in on the record set in 1997, it is safe to say that that these will reduce considerably in the coming years as Indonesia already has 52% of world palm oil production. By assuming a 3.34% reduction per annum in these emissions from 2005, they will reduce from 1450 MtCO2e to 611 MtCO2e in 2030. Total emissions of 2042 MtCO2e (1431+611) are 29.1% lower than BAU without an expense on the part of the Indonesian Government.

 

How does Indonesia achieve the conditional 41% reduction against BAU?

Indonesia claims that it needs international cooperation increase the reduction against BAU to 41%. In whole numbers, if BAU is 2881 a 41% reduction would make 1700. Not 1699 or 1701, but 1700. This is 100 less than the estimated 1800 MtCO2e total GHG emissions for 2005. This will be achieved without any “international cooperation“, a euphemism for foreign aid. The reason is simple. From the UNFCCC Indonesia Country Brief for Indonesia GDP growth for 1990 to 2012 average GDP growth per annum was 4.9% and CO2 emissions from fuel combustion was 5.1%. Normally GDP growth exceeds emissions growth. As a country develops this gap will widen until emissions growth ceases altogether and will even fall slightly. In India GDP growth from 1990 to 2012 averaged 6.5% and emissions growth was 5.7%. In China the respective figures are 10.3% and 6.1%. In China, emissions will peak around 2025 to 2030 without any policy change. It is reasonable to assume therefore that forecast fossil fuel emissions growth will be at a lower rate than the forecast GDP growth of 6.0%. A conservative estimate is that the fossil fuel emissions growth rate will be 25% lower than GDP growth rate from 2011 to 2030 at 4.50%. Rounding as before4 gives forecast emissions of 1089 MtCO2e as against a BAU of 1431.

The revised 2030 total emissions forecast for Indonesia is 1089 + 611 = 1700 MtCO2e. This is a 41.0% reduction on the BAU of 2881 MtCO2e.

 

Why should Indonesia have such a cynical manipulation of the numbers?

Indonesia is caught between a rock and a hard place. The stated major priorities for this country of 250 million people are at odds with doing its bit to save the world. In this Indonesia is not alone. India, China, and Vietnam are other major emerging nations who site other priorities. Ranged against them are the activist scientists behind the climate scare who hold the a priori truth of the prophesied global warming catastrophes that await the planet if we do not amend out wicked ways. Further, mitigation policies are good for the sole, regardless of their effectiveness, and the practice of these policies will lead others to enlightenment they have found. They will not recognize that any alternative points of view exist, whether morally, politically or scientifically. Rather than argue, the best policy is to outflank them. The activists will accept official policy objectives without question so long as it appears to fit the cause. So the Indonesians gave them massive cuts related to fictitious projected figures, cloaked with the language of climate speak to throw them off the scent. They should be applauded for protecting 250 million people, rather than inflicting ineffective burdens upon them. The real shame is that the leaders of the so-called developed economies have fallen for this rubbish.

Kevin Marshall

Notes

  1. Reference of the full global carbon budget 2014: C. Le Quéré, R. Moriarty, R. M. Andrew, G. P. Peters, P. Ciais, P. Friedlingstein, S. D. Jones, S. Sitch, P. Tans, A. Arneth, T. A. Boden, L. Bopp, Y. Bozec, J. G. Canadell, F. Chevallier, C. E. Cosca, I. Harris, M. Hoppema, R. A. Houghton, J. I. House, A. K. Jain, T. Johannessen, E. Kato, R. F. Keeling, V. Kitidis, K. Klein Goldewijk, C. Koven, C. S. Landa, P. Landschützer, A. Lenton, I. D. Lima, G. H. Marland, J. T. Mathis, N. Metzl, Y. Nojiri, A. Olsen, T. Ono, W. Peters, B. Pfeil, B. Poulter, M. R. Raupach, P. Regnier, C. Rödenbeck, S. Saito, J. E. Sailsbury, U. Schuster, J. Schwinger, R. Séférian, J. Segschneider, T. Steinhoff, B. D. Stocker, A. J. Sutton, T. Takahashi, B. Tilbrook, G. R. van der Werf, N. Viovy, Y.-P. Wang, R. Wanninkhof, A. Wiltshire, and N. Zeng 2014. Global Carbon Budget 2014. Earth System Science Data Discussions, doi:10.5194/essdd-7-521-2014
  2. 2011 is the baseline year for the IPCC reports.
  3. This can be obtained from two sources. First the INDC submission notes that “GDP Growth Rate has slowed between 2010-2015 from 6.2-6.5% per annum to only 4.0% per annum (first quarter of 2015).” A return to the higher levels of growth is an assumption of successful government policy.
  4. Each year growth of 6.0% is rounded to the nearest whole number.
  5. The 2005 total emissions estimate of 1800 MtCO2 is at odds with other estimates. The WRI CAIT 2.0 figure is 1600; the EDGAR estimate is 1171; and the UNFCCC estimate is 2828. There might be another method of estimation. Maybe it is being a bit too cynical to assume that someone could have taken the average of the three (1866) and rounded down.

Plans to Increase Global Emissions at COP21 Paris

Summary

It is a necessary, but far from sufficient, condition to cut global greenhouse gas emissions for any increases in emissions in some parts of the world to be offset by emissions cuts elsewhere. INDC submissions for the COP21 in Paris contain proposed emissions targets between 2010 and 2030 suggest the opposite will be case. For every tonne of emissions reductions in 32 leading developed countries there will be at least three tonnes of emissions increases in 7 major developing countries. The net effect of these targets being achieved from these countries (which combined make up both 60% of global emissions and 60% of global population) will be to make global emissions 20% higher in 2030 than 2010. Using UNIPCC AR5 projections, unless there are large and rapid cuts in in global greenhouse emissions post 2030, any agreement based those submissions will not save the world from two degrees of dangerous global warming and will likely not save the world from three degrees of warming. This leads to a policy problem. Emissions reduction policies will only reduce a small part of the harms of climate change. So even if the more extreme claims of climate catastrophism are true, then it might be more beneficial for a nation to avoid emissions reduction policies.

Assumptions

In the following analysis makes these assumptions.

  • UNIPCC estimates of the relationship between global average temperature and atmospheric greenhouse gas levels are accurate.
  • UNIPCC estimates of the relationship between greenhouse gas emissions and atmospheric greenhouse gas levels are accurate.
  • Policy commitments will always turn into concrete policy.
  • Climate change policy priorities will not conflict with other priorities.
  • All policy will be effectively implemented in full, implying the requisite technological and project management capacities are available.

The Context

The World’s leaders meeting from 30 November to December 11 in Paris together to thrash out a plan to save the world from a dangerous two degrees of warming. In preparation 146 countries, representing 87% of Global Emissions have submitted plans to the United Nations Framework Convention on Climate Change (UNFCCC). These are available at the submissions website here. There is no-one who has gone through to evaluate whether these submissions are consistent with this objective. I have chosen a small sample of 7 major developing nations and 32 developing nations (EU 28 have a single target) which combined represent about 60% of global emissions and 60% of global population.

The level of global emissions control required to constrain global warming is given by the IPCC in their final version of the 2014 AR5 Synthesis Report page 21 Figure SPM 11(a) and reproduced below.

The dark blue band is the maximum emissions pathway to avoid going beyond 2 degrees of warming, with RCP2.6 denoting the central pathway. The dark orange pathway would produce 2.5-3.0 degrees of warming. According to the figure SPM 5(a) Annual GHG emissions in 2010 were 49 GtCO2. They are currently increasing by at least 2% a year. The extrapolated projection for 2030 is 70-75 GtCO2, roughly following the solid black line of the RCP8.5 BAU (non-policy) scenario. In 2015 this will be about 54 GtCO2. The minimum for policy is that global emissions should be at least no higher than they were in 2010, and preferably below that level to offset the cumulative overshoot that will occur.

How does the global policy requirement fit in with the country submissions?

If the IPCC projections are correct, to avoid 2 degrees of warming being exceeded there needs to be a global cap on greenhouse gas emissions of around 50 GtCO2 almost immediately and for that level to start to start falling in the early 2020s. Alternatively, if global emissions reach 60 GtCO2 without any prospect of major reductions thereafter then from the model projections three degrees of warming is likely to be exceeded. There is a large gap between these two scenarios, but even with submissions from a limited number of the major countries it is possible to state that the lower limit will be exceeded. This can be done by calculating emissions increases in the major high growth developing countries and the proposed emissions reductions in the major developed countries. This is not straight forward, as in most country submissions there are no clear figures, so various assumptions need to be made. For developing countries this is particularly difficult, as the estimated business as usual (BAU) emissions are usually not stated and are dependent upon assumptions of economic growth, though sometimes there are clues within the text. For the developed countries the projections are easier to calculate, as they are relative to a date in the past. There is a further issue of which measure of emissions to use. I have used the UNFCCC issued estimates of GHG emissions in its Country Briefs for 1990, 2000, 2005 & 2010.1 In many of the submissions there often both conditional and unconditional estimates of 2030 emissions. For developing countries the lower estimates are dependent on external funding. For the other countries, emissions reductions are expressed as a range. In every case I have used the lower emissions figure.2

For the developing countries, those with major projected emissions increases countries are as follows.3

Estimated targeted emissions increases from 2010 to 2030 for major developing countries based on INDC Submissions
Country

Emissons Change

INDC Submission

Country Brief

Mexico

30%

Mexico

Mexico

China

55%

China

China

Indonesia

90%

Indonesia

Indonesia

Turkey

115%

Turkey

Turkey

India

138%

India

India

Bangladesh

250%

Bangladesh

Bangladesh

Vietnam

260%

Vietnam

Vietnam

The targeted total increase GHG for these seven countries between 2010 and 2030 is estimated to be in excess of 13 Gt.

According to World Bank Data there were 3300 million people in these seven countries in 2013, or 46% of the global population.

For the developed countries those with the largest quantitative emissions reductions are as follows.4

Estimated targeted emissions change from 2010 to 2030 for major developed countries from INDC Submissions
Country

Emissons Change

INDC Submission

Country Brief

Australia

-30%

Australia

Australia

Canada

-29%

Canada

Canada

EU

-40%

EU

EU

Japan

-20%

Japan

Japan

USA

-28%

USA

USA

The targeted total decrease GHG for these thirty-two countries between 2010 and 2030 is estimated to be 4 Gt.

According to World Bank Data there were 900 million people in these thirty-two countries in 2013, or 13% of the global population.

For every one tonne of emissions reduction by developed countries, it will be replaced by at least three tonnes of emissions elsewhere. Bigger reductions by these developed countries will not close the gap, as their total 2010 emissions are just 12.9 G. The developing countries do not include a single African country, nor Pakistan, Iran, Venezuela, or numerous other countries. Yet it does include all the major developed countries.

Whilst the developing countries way not achieve this increase in emissions by 2030, collectively they will achieve this increase shortly after that date. Many of the developed countries may not achieve the emissions reductions due to changing priorities. For instance the EU targets reduction may not be achieved due to Germany abandoning nuclear power in favour of coal and Southern European states reducing renewables subsidies as a response to recent economic crises.

The Elephant in the Room

In 2030, even with an agreement based on the INDC submissions signed this December in Paris, and then fully implemented without compromise there is still a problem. If the IPCC models are correct, the only way to stop the 3 degrees of warming being exceeded is through rapid reductions in emissions in those countries where emissions have recently peaked (e.g. South Korea and China) along with steep reductions in emissions of countries where they are still increasing rapidly (e.g. India and Bangladesh). Unless a technological miracle happens in the next decade this is not going to happen. More likely is that global emissions may keep on rising as many slower-growing African and Asian nations have ever larger unit increases in emissions each year.

The Policy Problem

The justification for mitigation policy is most clearly laid out in the British 2006 Stern Review Summary of Conclusions page vi

Using the results from formal economic models, the Review estimates that if we don’t act, the overall costs and risks of climate change will be equivalent to losing at least 5% of global GDP each year, now and forever. If a wider range of risks and impacts is taken into account, the estimates of damage could rise to 20% of GDP or more.

That is the unknown and random costs of climate change can be exchanged for the lesser and predictable costs of policy. A necessary, but far from sufficient, condition of this happening is that policy will eradicate all the prospective costs of climate change. It could be that if warming is constrained to less than 2 degrees the costs of climate change would be trivial, so the reality could be a close approximation of Stern’s viewpoint. But if warming exceeds 3 degrees and the alleged harms are correct, then emissions reducing policies are likely to lead to net harms for the countries implementing those policies and a small net benefit for those countries without policy.

Kevin Marshall

Notes

  1. The exception is for Bangladesh. They are one of the few countries that clearly lays out 2030 estimates in MtCO2, but the 2010 estimate is about 20% lower than the UNFCCC figure. I have just lifted the Bangladeshi figures.
  2. For instance the USA the target is to reduce is emissions 26-28% on the 2005 level. I have used the 28% figure. The United States is about the only country not providing target figures for 2030. I would be imprudent to assume any greater reductions given that it is not certain even this level will be ratified by Congress.
  3. Not all the countries outside of the rich are targeting emissions increases. Brazil and Argentina are targeting emissions reductions, whilst Thailand and South Korea would appear to be targeting to maintaining emissions at around 2010 levels.
  4. Not all developed countries have emissions reduction targets.
  5. South Korea with 1.3% of 2010 global emissions could be included in developed countries, but its target it is to roughly maintain emissions at 2010 levels. Switzerland, Norway and Singapore are all committed to emissions reductions, but combined they have less 0.3 GT of emissions.

A note on Bias in Australian Temperature Homogenisations

Jo Nova has an interesting and detailed post guest post by Bob Fernley-Jones on heavily homogenised rural sites in Australia by the Australian BOM.

I did a quick comment that was somewhat lacking in clarity. This post is to clarify my points.

In the post Bob Fernley-Jones stated

The focus of this study has been on rural stations having long records, mainly because the BoM homogenisation process has greatest relevance the older the data is.

Venema et al. 2012 stated (Italics mine)

The most commonly used method to detect and remove the effects of artificial changes is the relative homogenization approach, which assumes that nearby stations are exposed to almost the same climate signal and that thus the differences between nearby stations can be utilized to detect inhomogeneities (Conrad and Pollak, 1950). In relative homogeneity testing, a candidate time series is compared to multiple surrounding stations either in a pairwise fashion or to a single composite reference time series computed for multiple nearby stations.

This assumption of nearby temperature stations being exposed to same climate signal is standard practice. Victor Venema, (who has his own blog) is a leading academic expert on temperature homogenisation. However, there are extreme examples where this assumption does not hold. One example is at the end of the 1960s in much of Paraguay where average temperatures fell by one degree. As this was not replicated in the surrounding area both GISTEMP and Berkeley Earth homogenisations eliminated this anomaly. This was despite using very different homogenisation techniques. My analysis is here.

On a wider scale take a look at the GISTEMP land surface temperature anomaly map for 2014 against 1976-2010. (obtained from here)


Despite been homogenised and smoothed it is clear that trends are different. Over much of North America there was cooling, bucking the global trend. What this suggests to me is that the greater the distance between weather stations the greater the likelihood that the climate signals will be different. Most importantly for temperature anomaly calculations, over the twentieth century the number of weather stations increased dramatically. So it is more likely homogenisation will end up smoothing out local and sub-regional variations in temperature trends in the early twentieth century than in the later period. This is testable.

Why should this problem occur with expert scientists? Are they super beings who know the real temperature data, but have manufactured some falsehood? I think it is something much more prosaic. Those who work at the Australian BOM believe that the recent warming is human caused. In fact they believe that more than 100% of warming is human caused. When looking at outlier data records, or records that show inconsistencies there is a very human bias. Each time the data is reprocessed they find new inconsistencies, having previously corrected the data.

Kevin Marshall

Islamophobic and Anti-Semitic Hate Crime in London

The BBC has rightly highlighted the 70.7% rise in Islamophobic crime in the 12 months to July 2015 compared to the previous 12 months to 718 instances. Any such jump in crime rates should be taken seriously and tackled. To be attacked for one’s religion, including being punched and having dog faeces smeared on one’s head is repulsive. However, according to the Metropolitan Police Crime Figures it is still less than 0.1% of total 720,939 crimes reported, and still a fraction of the crimes of Rape (5,300) and Robbery against the Person (20,300).

Raheem Kassam of Breitbart has a point when he states that there has been a 93.4% rise in Anti-Semitic crimes to 499 in the same period. He then points out that a Jew is a number of times more likely to be a victim of a religious hate crime in London than a Muslim. However, he fluffs the figures, as he makes a comparison between London crime figures and total numbers of adherents of each religion in the UK. Yet the Greater London Authority has a Datastore with the population by borough, along with the proportion of each religious group. The Metropolitan Police Crime Figures are also by borough. From this I have looked at the ten worst boroughs for Islamophobic and Anti-Semitic Hate Crime, which I have appended below.

In Summary

  • The London Borough with the highest number of reported Islamophobic hate crimes was Westminster with 54 reported in the 12 months ended July 2015, but relative to the number of Muslims living in the borough, Islington had the highest rate with 3.0 hate crimes per 1,000 Muslims.
  • Overall in London reported 718 in Islamophobic hate crimes reported was equivalent to 0.6 per 1,000 Muslims.
  • The London Borough with the highest number of reported Anti-Semitic hate crimes was Hackney with 122 reported in the 12 months ended July 2015, but relative to the number of Jews living in the borough, Tower Hamlets had the highest rate with 10.6 hate crimes per 1,000 Jews.
  • Overall in London reported 499 in Anti-Semitic hate crimes reported was equivalent to 3.2 per 1,000 Jews.
  • A Jew in London is therefore more than five times more likely to be the victim of a religious hate crime than a Muslim. In the London Borough of Tower Hamlets the Jew is over thirty times more likely to be a victim than a Muslim. Even Islington, proportionately the worst borough for Muslims, the Jew is still more than twice as likely to be a victim as the Muslim.

As a final note, late yesterday evening there was an extreme Anti-Semitic attack in North Manchester. Four young men were brutally attacked at a Metrolink Station. The youngest, for a period, was into a coma according to The Jewish Chronicle. I join in the prayers for his speedy and full recovery.

Kevin Marshall

Degenerating Climatology 1: IPCC Statements on Human Caused Warming

This is the first in an occasional series of illustrating the degeneration of climatology away from an empirical science. In my view, for climatology to be progressing it needs to be making ever clearer empirical statements that support the Catastrophic Anthropogenic Global Warming (CAGW) hypothesis and moving away from the bland statements that can just as easily support a weaker form of the hypothesis, or support random fluctuations. In figure 1 this progression is illustrated by the red arrow, with increasing depth of colour. The example given below is an illustration of the opposite tendency.

Obscuring the slowdown in warming in AR5

Every major temperature data set shows that the warming rate this century has been lower than that towards the end of the end of the twentieth century. This is becoming a severe issue for those who believe that the main driver of warming is increasing atmospheric greenhouse gas levels. This gave a severe problem for the IPCC in trying to find evidence for the theory when they published in late 2013.

In the IPCC Fifth Assessment Report Working Group 1 (The Physical Science Basis) Summary for Policy Makers, the headline summary on the atmosphere is:-

Each of the last three decades has been successively warmer at the Earth’s surface than any preceding decade since 1850. In the Northern Hemisphere, 1983–2012 was likely the warmest 30-year period of the last 1400 years (medium confidence).

There are three parts to this.

  • The last three decades have been successively warmer according to the major surface temperature data sets. The 1980s were warmer than the 1970s; the 1990s warmer than the 1980s; and the 2000s warmer than the 1990s.
  • The 1980s was warmer than any preceding decade from the 1850s.
  • In the collective opinion of the climate experts there is greater than a 66% chance that the 1980s was the warmest decade in 1400 years.

What the does not include are the following.

  1. That global average temperature rises have slowed down in the last decade compared with the 1990s. From 2003 in the HADCRUT4 temperature series warming had stopped.
  2. That global average temperature also rose significantly in the mid-nineteenth and early twentieth centuries.
  3. That global average temperature fell in 4 or 5 of the 13 decades from 1880 to 2010.
  4. That in the last 1400 years there was a warm period about 1000 years ago and a significantly cold period that could have reached bottomed out around 1820. That is a Medieval Warm Period and the Little Ice Age.
  5. That there is strong evidence of Roman Warm Period that about 2000 years ago and a Bronze Age warm period about 3000 years ago.

Point (i) to (iii) can be confirmed by figure 2. Both the two major data surface temperature anomalies show warming trends in each of the last three decades, implying successive warming. A similar statement could have been made in 1943 if the data had been available.

In so far as the CAGW hypothesis is broadly defined as a non-trivial human-caused rise in temperatures (the narrower more precise definition being that the temperature change has catastrophic consequences) there is no empirical support found from the actual temperature records or from the longer data reconstructions from proxy data.

The major statement above is amplified by the major statement from the press release of 27/09/2013.

It is extremely likely that human influence has been the dominant cause of the observed warming since the mid-20th century. The evidence for this has grown, thanks to more and better observations, an improved understanding of the climate system response and improved climate models.

This statement does exclude other types of temperature change, let alone other causes of the temperature change. The cooling in the 1960s is not included. The observed temperature change is only the net impact of all influences, known or unknown. Further, the likelihood is based upon expert opinion. If the experts have always given prominence to human influences on warming (as opposed to natural and random influences) then their opinion will be biased. Over time if this opinion is not objectively adjusted in the light of evidence that does not conform to the theory the basis of Bayesian statistic is undermined.

Does the above mean that climatology is degenerating away from a rigorous scientific discipline? I have chosen the latest expert statements, but not compared them with previous statements. A comparable highlighted statement to the human influence statement from the fourth assessment report WG1 SPM (Page 3) is

The understanding of anthropogenic warming and cooling influences on climate has improved since the TAR, leading to very high confidence that the global average net effect of human activities since 1750 has been one of warming, with a radiative forcing of +1.6 [+0.6 to +2.4] W m–2

The differences are

  • The greenhouse gas effect is no longer emphasised. It is now the broader “human influence”.
  • The previous statement was prepared to associate the influence with a much longer period. Probably the collapse of hockey stick studies, with their portrayal of unprecedented warming, has something to do with this.
  • Conversely, the earlier statement is only prepared to say that since 1750 the net effect of human influences has been one of warming. The more recent statement claims a dominant cause of warming has been human caused.

This leads my final point indicating degeneration of climatology away from science. When comparing the WG1 SPMs for TAR, AR4 and AR5 there are shifting statements. In each report the authors have chosen the best statements to fit their case at that point in time. The result is a lack of continuity that might demonstrate and increasing correspondence between theory and data.

Kevin Marshall