IPCC Still Deceiving with the Hockey Stick

Fig. 1: Common Era temperature reconstructions
featured in IPCC reports since 2001.

Source Esper et al 2024  Note:  In each graph, instrumental global annual mean land and marine temperatures are shown in a red spike, while lower resolution proxy estimates are in blue.

Just published today at Nature Communications is this paper  The IPCC’s reductive Common Era temperature history  by Esper et al.  Excerpts in italics with my bolds and added images.

Abstract

Common Era temperature variability has been a prominent component in Intergovernmental Panel on Climate Change reports over the last several decades and was twice featured in their Summary for Policymakers. A single reconstruction of mean Northern Hemisphere temperature variability was first highlighted in the 2001 Summary for Policymakers, despite other estimates that existed at the time. Subsequent reports assessed many large-scale temperature reconstructions, but the entirety of Common Era temperature history in the most recent Sixth Assessment Report of the Intergovernmental Panel on Climate Change was restricted to a single estimate of mean annual global temperatures. We argue that this focus on a single reconstruction is an insufficient summary of our understanding of temperature variability over the Common Era. We provide a complementary perspective by offering an alternative assessment of the state of our understanding in high-resolution paleoclimatology for the Common Era and call for future reports to present a more accurate and comprehensive assessment of our knowledge about this important period of human and climate history.

Fig. 5: Standard deviations in observed temperature data
and Common Era temperature reconstructions.

Estimates for the observed and reconstructed temperatures are determined over the 1878-2000 CE (blue), 1001-1877 CE (orange) and 1-1000 CE (gray) periods. Instrumental records shown on the left side include mean annual temperatures averaged over 90°S-90°N land and marine areas (global), mean annual temperatures averaged over 0°−90°S land and marine areas (SH), and mean summer (JJA) temperatures averaged over 30°−90°N land-only areas (NH).

While interpretations of the similarities and differences across the various domains and reconstructions, as shown in Fig. 5, remains the subject of important and interesting research, diagnosing the differences is not the focus of our commentary herein. Our primary concern is that substantial uncertainty exists. The consequence is that there are notable differences in the representation of large-scale estimates of CE temperature variability, as shown in Figs. 2 and 3, that were overlooked and poorly communicated by the 2021 IPCC WGI report. Both the different summary of the global P2k19 ensemble provided in Figs. 2b and 3c, and the inclusion of the additionally available NH and SH temperature reconstruction estimates in Fig. 3, imply substantial uncertainties in large-scale temperature reconstructions that better summarize the existing challenges associated with the science.

Fig. 3: Reconstructions of large-scale temperature variability
over the last 2000 years published since AR5 of the IPCC.

Reconstructions variably target seasonal to annual mean temperatures in the (a) Northern Hemisphere (Sch15, Sto15, Wil16, Xin16, Gui17, Bün20), and annual temperatures for the (b) Southern Hemisphere (Neu14) and (c) globally (P2k19; as shown in Fig. 2) over varying periods of the Common Era (see Table 1 for details). All reconstructions were smoothed using a 20-year low-pass filter and temperatures are shown as anomalies from their 1850–1900 means. Hemispheric and global means of land and ocean temperatures derived from HadCRUT5 instrumental analysis1 are also shown in each respective panel from 1850-2020 (red). Instrumental temperatures were also referenced to zero mean in the 1850–1900 interval and filtered with a 20-year lowpass filter. These instrumental representations are all consistent with the 2021 IPCC report.

Conclusions and future priorities

We propose that a visualization of the contemporary research, as in Fig. 3, offers a more accurate depiction of the uncertainty and temporal evolution of CE temperature variability compared to any single reconstruction. A general feature of Fig. 3 is that long-term trends during the second millennium CE are more coherent and robust, but major discrepancies still exist during the first millennium CE. These uncertainties in the first millennium are the product of severe reductions in the availability of high-resolution proxy records, which affects all large-scale temperature reconstructions. The SH also remains grossly under-sampled.

It is therefore premature, and possibly incorrect, to conclude that
the first millennium was free of centennial-scale temperature trends
and that the decadal variations were systematically smaller
than during subsequent centuries, as detailed in the 2021 SPM.

Regarding global temperature reconstructions specifically, we also highlight the following limitations that must continue to be contextualized in consensus reports on CE temperature reconstructions:

(i) warm season biases due to the dominance of tree-ring records during the CE,
(ii) spatial biases in proxy sampling, with a persistent lack of high-resolution proxy records from the tropics and SH, which are needed for accurately representing lower-latitude and SH temperatures over the past 2000 years,
(iii) the likely loss of variability when including time-uncertain and smoothed proxies in a large-scale reconstruction,
(iv) the potential limited ability of conventional tree-ring records to capture millennial-scale trends in climate, and
(v) the need to more accurately estimate reconstruction uncertainties that reflect changes in replication and statistical model fidelity of the underlying proxy network back in time (a constant uncertainty range back in time is unlikely to accurately represent the increasing uncertainties that exist).

With any set of methods, however, their outcome is ultimately dependent on the data that they incorporate and the assumptions that underpin the statistical model. A major initiative to produce new high-resolution proxy records that span the entire CE is therefore necessary if we are to fundamentally improve our understanding of pre-instrumental temperature variations at policy-relevant timescales. It otherwise remains uncertain how warm and cold first millennium CE temperatures actually were and what caused these earlier changes at hemispheric to global scales, with implications for our understanding of the true range of externally and internally forced variability.

My Comment:

Among the references in the paper is that of Moberg et al (2005) Highly variable Northern Hemisphere temperatures reconstructed from low- and high-resolution proxy data.  The graph below shows one example of how more recent high quality reconstructions contradict the Mann depiction of a flat hockey stick handle during the centuries prior to the 20th.

Background of the Mann Hockey Stick Saga

Rise and Fall of the Modern Warming Spike

The first graph appeared in the IPCC 1990 First Assessment Report (FAR) credited to H.H.Lamb, first director of CRU-UEA. The second graph was featured in 2001 IPCC Third Assessment Report (TAR) the famous hockey stick credited to M. Mann.

Brits Run Con Game at Glasgow COP

Doomsday was predicted but failed to happen at midnight.

Vijay Jayaraj explains in his Real Clear Energy article COP26’s UK Hosts Peddle Climate Misinformation.  Excerpts in italics with my bolds.

As hosts of the Glasgow COP26 climate conference, UK leaders were models for the meeting’s steady stream of misinformation and fearmongering that came from the likes of Barack Obama and Greta Thunberg.

The clock on the doomsday device is still ticking, but we’ve got a bomb disposal team on site,” said British Prime Minister Boris Johnson. “They’re starting to snip the wires – I hope some of the right ones.” If the specter of catastrophic global warming is not sufficiently scary, how about the image of an explosion?

As for misinformation, Boris claimed that “India (is) keeping a billion tons of carbon out of the atmosphere by switching half its power grid to renewable sources.”

Actually, India is increasing emissions, not reducing them.

The country is determined to raise coal production by 50 percent — from 700 million tons to 1 billion tons a year. The country has invested heavily in the coal sector and is asking coal utilities to implement fresh strategies to achieve the new target.

Also, the claim of India’s power grid being 50 percent renewables is misleading. While the total installed renewable capacity is around 40 percent out of the total installed power generation systems in the country, only nine percent of all electricity consumed comes from wind and solar because the so-called green technologies are available much less than are baseload sources. Seventy percent of all electricity comes from coal, followed by hydroelectric and nuclear. Even if wind and solar ever achieve 80 percent of total installed capacity, the actual generation from them would be less than 20 percent.

Also, there is no imminent threat from the climate as Boris so dramatically claims. Certainly not anything thing like a ticking bomb. Antarctica has been colder during the last four years, polar bears have thrived, islands are gaining land mass, and fewer people die from climate disasters than ever before.

Of course, understanding these realities requires unbiased research of data, which seems to be too much of a bother for Boris Johnson. Perhaps, the prime minister’s aides could read him page 256 of the United Nation’s special report, “Global Warming of 1.5°C.”

The report states that if we do nothing on climate, the subsequent theoretical increase of 3.66°C in temperature by the year 2100 will cost a meager 2.6 percent of the global gross domestic product — a loss that gives no reason to panic nor any justification to declare a climate emergency. And that is assuming UN projections are not overstated, which they often are.

To balance the scare tactics of the prime minister, UK Chancellor Rishi Sunak employed alluring cliches to promote the financing of climate polices. “We’re talking about making a tangible difference to people’s lives,” said the chancellor. “About cheap, reliable and clean electricity to power schools and hospitals in rural Africa. About better coastal defenses in the Philippines and the pacific islands to protect people from storm surges. About everyone, everywhere having fresher water to drink…cleaner air to breathe.”

Instead of real-world data, the chancellor uses high-sounding language as poetic musical prelude and endnote to sell his vision of spending money on climate policies for a supposedly better world. He ignores that more people in the world have better access to clean water than ever before in modern history. The share of global population with access to safe drinking water went up from around 60 percent in the year 2000 to around 73 percent in 2020 despite a rapid increase in population and growing groundwater problems in cities.

Our World in DataImage: Improvement in access to clean water globally, Source: https://ourworldindata.org/water-access

Western economies — Europe, UK, and U.S. — that have been dependent on fossil fuels boast some of the cleanest air in the world today. This is because fossil fuels provide the fastest creation of wealth, which can be spent on reducing pollution. Average life expectancy in the world went up from just 45 in 1950 to 71 in recent years. These are all markers of improvement, not degradation.

When it comes to extreme weather events, there has been no increase in the global tropical hurricane frequency, a fact that is conveniently overlooked by leaders like Sunak when they bemoan storms in cyclone-prone regions of the world.

Global Hurricane Frequency — 12-month running sums. The top time series is the number of global tropical cyclones that reached at least hurricane-force (maximum lifetime wind speed exceeds 64 knots). The bottom time series is the number of global tropical cyclones that reached major hurricane strength (96 knots+). Source: http://climatlas.com/tropical/

If the chancellor really intends to provide affordable and reliable energy to the poor in Africa, then fossil fuels, nuclear, and hydro are the only probable solutions. Wind and solar are unreliable, and available battery technologies are simply not viable for on-demand baseload.

For those who care about facts, it is frustrating to have media-enabled leaders utter absurdities with few holding them to account. Billions of energy-starved people deserve better.

Vijay Jayaraj is a Research Associate at the CO2 Coalition, Arlington, Va., and holds a master’s degree in environmental sciences from the University of East Anglia, England. He resides in Bengaluru, India.