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Neighbourhoods in England that are home to the most minority-ethnic people are 15 times more likely to face extreme heat than the least diverse areas, according to Carbon Brief analysis.

People with the lowest carbon footprints – who therefore contribute less to climate change – are also more likely to live in areas that experience high temperatures.

This is based on Carbon Brief analysis that combines satellite data on heat exposure with data on per-capita emissions, ethnicity and levels of deprivation across England.

Thousands of deaths in the UK have been attributed to heat in recent years and the threat is expected to grow as climate change worsens.

But heat is also felt differently across the country, with certain groups both more exposed and more vulnerable to dangerous temperatures.

Broadly, the analysis shows how those subject to the “urban heat island” effect in English cities, often in low-quality housing and with little access to green space, are more likely to experience extreme heat.

Experts tell Carbon Brief that policymaking should reflect the reality of climate change “amplifying” inequalities across society and provide help to those most in need, such as more heat-resilient social housing.

Heat threat

As greenhouse gas emissions and global temperatures rise, more people in the UK are likely to become ill or even die due to extreme heat.

Heat has killed around 6,000 people in England over the past three years, according to government figures. This is roughly double the number killed over the same period between 2016 and 2018.

Scientists have repeatedly linked extreme heat – and the resulting deaths – to climate change.

In June 2025 alone, more than 260 people died in London due to a heatwave, according to a recent attribution study that linked the event to climate change.

Government advisor the Climate Change Committee (CCC) estimates that the number of heat-related fatalities in the UK each year is set to triple by 2050, without adaptation measures.

Around half of homes in the country are already at risk of overheating and the CCC expects this to reach 90%, if global temperatures rise by 2C above pre-industrial levels.

However, these risks will not fall equally across society, with children, the elderly and disabled people more vulnerable to heat-related illness. There is also evidence that poorer communities and people of colour are more vulnerable to extreme heat.

Such communities also tend to have lower carbon footprints than those that are whiter and wealthier.

This fits with the broader concept of climate justice, which describes how people who are least responsible for climate change often end up bearing the brunt of its effects.

Carbon footprints

To investigate these issues, Carbon Brief combined detailed satellite data on heat exposure across England, provided by 4 Earth Intelligence, with neighbourhood-level carbon footprints compiled by the Centre for Research in Energy Demand Solutions (CREDS).

The CREDS dataset provides estimates of per-person carbon footprints, indicating how much the average person in each neighbourhood is contributing to climate change.

Due to data availability, this analysis focuses exclusively on England, the nation that experiences the most extreme heat in the UK.

Every neighbourhood is scored based on its “heat hazard”, meaning the likelihood that it will experience higher relative temperatures during hot weather, compared to surrounding areas.

The analysis then zooms in on the 10% worst-affected neighbourhoods in England. These neighbourhoods have a heat hazard score of 4 or 5, meaning that they face higher exposure to heat than 90% of areas around the country. (For a full explanation, see Methodology.)

The figure below shows that neighbourhoods with lower carbon footprints are twice as likely to face high heat hazard scores than areas with higher carbon footprints.

Specifically, it shows that 13.4% of neighbourhoods with the lowest carbon footprints are among the English areas most exposed to heat hazards. In contrast, only 7.0% of neighbourhoods with the highest carbon footprint are among the most heat-exposed areas.

Chart showing that people living in English neighbourhoods with lower carbon footprints are more likely to be exposed to extreme heat
Proportion of neighbourhoods in England with the highest heat hazard scores in each carbon footprint bracket. Each bar represents a group of English neighbourhoods, ranked by their per-capita emissions from 10% with the lowest carbon footprints (top bar) to the 10% with the highest (bottom bar). The bars in between each represent 20% of neighbourhoods. The “highest heat hazard scores” equate to the top 10% of total English neighbourhoods that are most likely to experience high temperatures during hot weather. Source: Carbon Brief analysis, 4 Earth Intelligence, CREDS.

Neighbourhoods in England with lower carbon footprints are often in dense, urban areas, where people tend to be less reliant on cars and more likely to live in energy-efficient flats.

Areas with higher carbon footprints are commonly found in rural areas, where travelling by car can be a necessity due to limited public transport.

Also, particularly in south-east England, people in these rural neighbourhoods are often wealthier, meaning they spend more money on flights and other high-emitting luxuries.

Ethnicity and deprivation

Carbon Brief also analysed the heat threat facing deprived neighbourhoods in England and those that are home to more people of colour.

Information about how many people identify as black, Asian and other minority ethnicities in each neighbourhood is based on 2021 census data, via the Office for National Statistics.

As the chart below shows, there is a clear correlation between the number of people of colour living in a neighbourhood and the likelihood of it facing extreme heat during periods of hot weather.

The most ethnically diverse neighbourhoods – where roughly half or more of the population are people of colour – are 15 times more likely to have high heat hazard scores than the least ethnically diverse neighbourhoods, where almost everyone is white.

Chart showing neighbourhoods in England that are home to more minority-ethnic people are far more likely to face extreme heat
Proportion of neighbourhoods in England with the highest heat hazard scores in each decile of minority-ethnic population. Each bar represents 10% of English neighbourhoods, ranked by their proportion of minority-ethnic inhabitants, from the highest (top bar) to the lowest (bottom bar). The “highest heat hazard scores” equate to the top 10% of total English neighbourhoods that are most likely to experience high temperatures during hot weather. Source: Carbon Brief analysis, 4 Earth Intelligence, Office for National Statistics.

Among the most diverse areas are parts of Newham in east London, Saltley in Birmingham and Spinney Hills in Leicester, all of which are inner-city areas.

The least diverse neighbourhoods range from coastal parts of Redcar and Cleveland in North Yorkshire to the rural villages of south Somerset. None of England’s hottest 1% of neighbourhoods are in this bracket.

Additionally, Carbon Brief assessed the relationship between levels of poverty and heat risk, based on England’s indices of deprivation dataset. This covers several measures of deprivation, including income, employment and health.

People living in the most deprived English neighbourhoods are more than three times as likely to face high levels of heat hazard as those in the least deprived neighbourhoods, as shown in the figure below.

Chart show more deprived areas in England are also more likely to experience extreme heat
Proportion of neighbourhoods in England with the highest heat hazard scores in each decile of deprivation. Each bar represents 10% of English neighbourhoods, ranked by their level of deprivation, from the highest (top bar) to the lowest (bottom bar). The “highest heat hazard scores” equate to the top 10% of total English neighbourhoods that are most likely to experience high temperatures during hot weather. Source: Carbon Brief analysis, 4 Earth Intelligence, UK government indices of deprivation for England.

The correlation between poverty and extreme heat is less extreme than the one between heat exposure and ethnicity.

While many of England’s most deprived areas are in cities, they are also clustered in some rural and coastal areas – such as parts of Cornwall and Lincolnshire – which tend to be cooler.

Urban heat island

The key phenomenon captured by this analysis is the urban heat island effect. This describes how cities – and particularly areas with dense buildings, roads and stretches of concrete that absorb heat – tend to be hotter than the surrounding countryside.

Cities such as London, Manchester and Birmingham have reached temperatures up to 5C hotter than the surrounding areas in recent decades, due to this effect.

The diagram below shows how air flows circulate between rural and urban areas, forming “heat domes” over cities.

Infographic diagram showing higher temperatures in cities lead to the formation of an urban heat dome
Illustration of air flow in and around a heat dome, based on Yang et al (2024). Graphic: Ada Carpenter, Carbon Brief.

Inner-city areas in England are also home to many people facing high levels of deprivation, as well as large black and Asian communities. Many of these communities are therefore exposed to more dangerous temperatures due to the urban heat island effect.

Access to green spaces, even within cities, also influences exposure to the urban heat island effect. Research has shown how people in deprived areas and people of colour – particularly black people – are more likely to live in areas with less access to green spaces.

There is already extensive scientific literature that uses satellite data to demonstrate the urban heat island effect in cities and other locations.

A number of studies have also used this data to show how people of colour and those living in poverty are more exposed to extreme heat. Much of this research has come from the US, where historic housing inequalities have created stark patterns of segregation in many cities.

A project led by environmental policy researcher Dr Angel Hsu of the University of North Carolina-Chapel Hill shows how, globally, “cities are burdening lower-income populations with higher heat exposure”, as she tells Carbon Brief.

Given this, Hsu adds that “it’s not surprising to us to see similar disproportionate exposure patterns among UK neighbourhoods”.

Other researchers tell Carbon Brief that it is important to be wary of satellite data, as it does not precisely capture the air temperatures experienced in these neighbourhoods.

Dr Charles Simpson, who researches the health and economic impacts of climate change at University College London (UCL), notes:

“Satellite-measured surface temperature does not always correlate with the air temperature – what you are measuring includes a lot of road surfaces and rooftops. The air temperature is thought to be more directly relevant to people’s health and their cooling needs.”

Previous research has found that satellite data can therefore overestimate the urban heat island effect compared to data from weather stations.

These stations, however, are not widespread enough to allow comparisons with detailed neighbourhood data. They are particularly lacking in more deprived areas in England, potentially making measurements there less reliable.

Other scientists tell Carbon Brief that, in the absence of a comprehensive ground monitoring network, satellite measurements can serve as a stand-in to estimate heat exposure. Dr Chloe Brimicombe, an extreme-heat researcher based at the University of Graz, explains:

“Although it’s not a good indicator of perceived [temperature], it is a good indicator of what regions are most built up and have the environments that are most vulnerable to heat.”

‘Amplifying’ inequalities

There is a growing body of evidence gathered by activists, scientists and local governments around the UK revealing the unequal burden of climate change.

Dr Charles Ogunbode, an assistant professor of applied psychology at the University of Nottingham who specialises in how people experience climate change, tells Carbon Brief that this kind of data helps to clarify the links between climate change and inequalities:

“We can’t avoid dealing with the issue of social inequalities and climate change is just basically amplifying those things. It’s highlighting them, it’s revealing them. So whatever policies we put in place – be it in the health sector, be it in the climate sector – addressing those inequalities has to be an essential part of whatever those responses are.”

There are many factors influencing how people experience heat that are not captured in Carbon Brief’s analysis.

Previous work by researchers at the University of Manchester and Friends of the Earth has explored this issue, including an analysis of more than 40 indicators that could make neighbourhoods more “socially vulnerable” to heat.

This reveals similar outcomes, with people of colour and those contributing the least to climate change generally more vulnerable to its impacts.

One of the biggest factors that contributes to people’s exposure to heat extremes in the UK is the country’s housing stock, which is “not fit for the future”, according to the CCC.

UK homes have generally not been built for hotter conditions and poorer people are more likely to live in badly adapted housing. Those living in small homes, flats and social housing in England all “suffer significantly more overheating” during heatwaves, according to one study.

Dr Giorgos Petrou, a researcher in building physics modelling at UCL, tells Carbon Brief that it is also vital to consider whether households have the ability to adapt to climate change. “Amongst other factors, their capability will depend on their financial means and whether they own or rent their home,” he says.

Experts tell Carbon Brief that the government should act across its policy agenda to not only address extreme heat, but also support those who are most affected by it. This could involve expanding tree cover and renovating old social housing stock in at-risk communities.

Emma Howard Boyd, a former chair of the Environment Agency who also chaired the London Climate Resilience Review, tells Carbon Brief:

“I do think that with [the Labour] government focusing on house building and retrofit, this is a fantastic opportunity to get this right…For those communities that have had the least impact on the environment and climate change themselves.”

Methodology

This analysis collates several datasets that cover England at a neighbourhood level, with “neighbourhoods” defined as lower-layer super output areas (LSOAs). These are small statistical areas used by the UK government, covering populations of about 1,500-3,000 people. There are 33,755 LSOAs in England.

Data on vulnerability to heat comes from 4 Earth Intelligence (4EI), which analyses land surface temperature to generate “heat hazard” information at a 30m resolution. This detailed information has been converted into LSOAs by 4EI.

Heat hazard scores are calculated by 4EI, based on the likelihood that a given neighbourhood will experience high temperatures during hot weather, relative to the surrounding area.

Each score corresponds to a different percentile of English neighbourhoods. The bar below shows the percentage breakdown across all LSOAs in England.

The two hottest scores – those coloured in red – correspond to the 10% of English neighbourhoods that have higher heat hazard scores than the remaining 90%.

Chart: Carbon Brief analysed the 10% of English neighbourhoods with the highest heat hazard scores
Distribution of heat hazard scores across English neighbourhoods, as calculated by 4EI. The top two heat hazard scores are 5 – representing the 1% of neighbourhoods that are more prone to extreme heat than the remaining 99% – and 4, representing the 90th-99th percentile that are hotter than the remaining 90%. Source: 4 Earth Intelligence.

For simplicity, Carbon Brief’s analysis focuses on the red bars above, meaning neighbourhoods in either the top 90th-99th percentile or 99th percentile of heat hazard. (Neighbourhoods in the 90th-99th percentile have higher heat hazard scores than 90% of areas in England. Neighbourhoods in the 99th percentile have higher heat hazard scores than 99% of areas.)

It shows how these two scores are overrepresented in LSOAs that have lower carbon footprints, more diverse communities and higher levels of deprivation.

Carbon-footprint data is from the CREDS “place-based carbon calculator”, which estimates the average per-person carbon footprint for every LSOA in England. It accounts for emissions-producing activities ranging from electricity use to “consumption of goods and services”.

CREDS assigns the grades “A” to “F” (low carbon footprint to high carbon footprint) to neighbourhoods. Carbon Brief has based its carbon-footprint analysis on these grades.

LSOA-level data on black, Asian and other minority-ethnic populations comes from 2021 census data. English LSOAs were broken down into deciles, based on the percentage of the population that identified as non-white ethnicities.

The lowest decile covered the tenth of LSOAs with between 0 and 2% non-white minority-ethnic populations and the highest covered the tenth with more than 51%.

England’s indices of multiple deprivation dataset also includes LSOA-level information. It provides relative measures of deprivation for LSOAs in England, based on income, employment, education, health, crime, living environment and barriers to housing and services. Carbon Brief broke the LSOAs down into deciles based on the total deprivation scores, from the most deprived to the least deprived.

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Factcheck: No, Europe’s heatwaves are not being ‘caused’ by declining air pollution

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This summer has seen Europe suffer through a series of record-breaking heatwaves.

Amid widespread media coverage of the number of deaths and the influence of climate change, the UK’s Daily Telegraph reported on new research with the incorrect headline: “Heatwaves caused by fall in pollution.”

The article was shared on social media by Richard Tice – deputy leader of the hard-right, climate-sceptic Reform UK party – along with a number of prominent rightwing commentators.

Tice claimed that “net stupid zero is contributing to rising temperatures, not helping”, adding that “we have been gaslit and lied to”.

GB News followed up with its own article, incorrectly headlined: “Britain’s scorching heatwaves caused by falling pollution levels, researchers find.”

Scientists tell Carbon Brief that the framing of heatwaves being “caused” by declining air pollution is “wrong”.

While a drop in pollution has reduced the cooling impact it has had in the past, the scientists say, Europe’s summer heatwaves are primarily becoming more extreme “as a result of greenhouse-gas-induced warming”.

Another scientist adds that “any attempt” to link this research to net-zero policies is “simply wrong”.

Fast warming

The extensive reporting around Europe’s heatwaves in recent months has often mentioned that Europe is the world’s fastest-warming continent.

Europe has warmed rapidly since the 1980s

The new study in question aims to unpack why Europe’s summer temperatures are rising more quickly than other regions of the northern hemisphere’s mid and high latitudes.

The research – published in Geophysical Research Letters – explores the role of air pollution and, specifically, how it affects circulation patterns in the atmosphere.

(The study focuses on long-term trends in European summers and does not include the very recent heatwaves.)

Human-caused emissions of aerosols – tiny, light‑scattering particles produced mainly by burning fossil fuels – have long acted to “mask” global warming. This is largely because they absorb or reflect incoming sunlight and influence the formation and brightness of clouds.

To understand how the climate of Europe – or any region – is changing, scientists need to take into account a whole range of factors, says Prof Bjørn Samset, a research professor at Norway’s Center for International Climate Research (CICERO), who was not involved in the work.

This includes “greenhouse gases, aerosols, land-use change, natural variability and how they all interact”, he says, adding:

“The effects of air pollution on circulation, which is the topic here, has long been difficult to pin down.”

As European countries improved their air quality through the second half of the 20th century, the cooling effect of aerosols has gradually been removed.

This can boost heatwaves in two ways – directly, by letting more sunlight reach the land surface and, indirectly, by influencing the jet stream.

Using hundreds of simulations from nine climate models, the new study finds that a decline in aerosols is resulting in more frequent “quasi-stationary Rossby waves”.

Rossby waves are huge meanders in the jet stream. Occasionally, they become slow-moving – or “quasi-stationary” – which allows weather systems to get stuck over one region, leading to prolonged heatwaves.

These circulation changes have contributed to Europe’s rapidly warming summers.

However, while Europe’s heatwaves are being influenced by declining aerosols, it is “wrong” to say they are being “caused” by them, says Prof Erich Fischer, a climate scientist at ETH Zurich.

Headline in the Daily Telegraph, 22 July 2026.
Headline in the Daily Telegraph, 22 July 2026.

Fischer, who was not involved in the study, tells Carbon Brief:

“Heatwaves are caused by high-pressure systems and are now much more frequent and intense because they are happening in a climate that is much warmer than 100 years ago as a result of greenhouse-gas-induced warming.

“The paper shows that the greenhouse-gas-induced summer warming had been temporarily masked by air-polluting aerosols. The full extent for European summers only becomes visible now as the air-polluting aerosols have declined.”

Samset adds:

“Air pollution never causes or removes global warming, it only temporarily moderates it.”

Study lead author Dr Pedro Roldán‐Gómez, an associate researcher at the Barcelona Supercomputer Centre, is quoted in the Daily Telegraph saying that “most” of the “excess warming” in Europe, beyond that of comparable regions in the northern hemisphere, can be linked to declining aerosols.

But, earlier in the article, the newspaper interprets this as, simply, “most of the extra heat experienced in Britain and Europe” is down to air pollution.

GB News uses a similar phrasing, reporting that “much of the additional warming across Britain and western Europe since the 1980s is linked to the sharp decline in airborne particles known as aerosols”.

This is “misleading”, says Fischer, while Roldan-Gomez tells Carbon Brief that this is a “tricky point”, which “could lead to wrong interpretations if not properly explained”. He adds:

“The contribution of greenhouse gases is, in any case, the most important factor.”

Headline on GB News, 23 July 2026.
Headline on GB News, 23 July 2026.

Cleaner air

The Daily Telegraph’s article was seized upon by Reform’s Richard Tice to claim that “cleaner air” was causing higher temperatures, rather than CO2.

This continued his position – refuted by long-established climate science – that CO2 does not drive global warming.

Richard Tice on X on 23 July 2026

Tice also claimed in his post that net-zero policies are “contributing to rising temperatures”. Tice appears to be linking declining air pollution to a shift from fossil fuels to renewable energy.

Samset points out that net-zero became a goal “decades later” than the cumulative efforts to reduce air pollution since the 1980s and that it is “simply wrong” to link it to the study.

“The scientific community will keep working to understand how greenhouse gas warming and air pollution interact,” he says, but “nothing we do will change the fact that the consequences of global warming are due to human-induced CO2 emissions”.

Fischer adds:

“Let us not forget that cleaning up air-polluting aerosols is highly desirable. According to the World Health Organisation, 7 million people still die prematurely every year due to air pollution.”

Clean air legislation

Finally, the Daily Telegraph article and the study itself both attribute Europe’s declining air pollution from the 1980s onwards to the Montreal Protocol.

This is a “glaring error”, Samset says, and it is “surprising that it wasn’t picked up” in the peer-review process for the study. He explains:

“The Montreal Protocol did not deal with air pollution. It dealt with ozone-depleting gases and has been an extremely successful multi-national effort against environmental damage. “

Clean air legislation was already in place in many European countries by the time the Montreal Protocol was signed in 1987, says Samset.

In response, Roldán‐Gómez says that while the protocol did not target aerosols specifically, it “boosted the clean air policies”.

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Access to finance ‘strengthens climate resilience’ among sub-Saharan women

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Empowering women through greater access to finance could “strengthen” households’ resilience to “climate shocks”, according to a new study.

Published in Climate Risk Management, it analyses the impact of financial access on “women-headed households” in sub-Saharan Africa.

The study finds that where women had formal financial access – such as through owning a bank account – households were more able to withstand short-term shocks.

It adds that “climate shocks”, such as extreme weather events and the impacts of climate change, can cause economic crises, which destabilise communities and households.

However, the authors say that in order to protect households from long-term climate vulnerabilities – including “droughts, floods and sea-level rise” – financial access would need to be paired with wider efforts to tackle gender inequality.

They add that the findings could have important implications for policy in sub-Saharan Africa, where many countries and households are vulnerable to climate disasters.

Financial inclusion

The study highlights that entrenched gender disparities mean many women still have unequal access to financial services in sub-Saharan Africa

For example, women are still less likely to have their own bank accounts and instead are often dependent on male relatives for access to finance.

The number of women with access to an account in the region had risen to 52% as of 2024, according to data from World Bank Group.

However, as shown in the chart below, the gap between men and women has also increased, rising from just under 5 percentage points in 2011 to 12 in 2024.

Chart showing that more sub-Saharan women now have bank accounts, but the gap to men has widened from 2011-2024
Share of population with bank accounts by gender over 2011-2024, %. Source: Global Findex Database, World Bank Group

Using survey data from Afrobarometer, the new study analyses 25,511 women-headed households across 37 sub-Saharan countries.

The authors use the Organisation for Economic Co-operation and Development’s (OECD) framework to measure “financial inclusion”. This looks at factors such as having a bank account, owning a mobile phone and having internet access.

Francis Anaisie, a co-author on the study, tells Carbon Brief the researchers were motivated by the UN’s sustainable development goals (SDGs). Anaisie, an economist at the University of Cape Coast, Ghana, says the study specifically looked at SDGs five and 13, on gender equality and addressing climate issues. He adds:

“Financial inclusion is one of the key policy tools for empowering women or for empowerment. But as to whether this actually translates into better climate outcomes for women is not known or is limited; this study seeks to address that gap.”

The study finds households with higher levels of financial access for women had higher levels of women’s empowerment, when this is defined as the ability to make choices and have control over economic and social outcomes.

This was checked by cross-comparing financial access against different measures of women’s empowerment, such as financial security, voting rights and connection to communities.

In particular, the study found that “financially included” women had greater political and economic empowerment, such as financial security and voting rights. On some measures of social empowerment, however, the link was weaker – financial access alone was not enough to erase cultural and social barriers to gender equality.

Women and climate change

It has been well documented that women are more vulnerable to the impacts of climate change than men.

Environmental shocks affect women disproportionately due to a range of factors. These include income disparities, higher rates of displacement and unequal access to land.

Financial inequality and barriers to economic resources, such as needing internet access to make digital payments, play a key role in climate vulnerability, says Tracy Kajumba. She is director for the Least Developed Countries initiative for Effective Adaptation and Resilience (LIFE-AR) interim secretariat at the International Institute for Environment and Development (IIED).

Kajumba, who was not involved in the study, explains to Carbon Brief:

“Women are on the front line doing farming, planting, harvesting and these things that are all impacted [by climate change]. If they don’t have the income to invest either in drought-resistant crops or water-saving technologies, it becomes difficult for households to adapt.”

Calculating climate resilience

The new study measures the impact of financial inclusion on women’s empowerment and, in turn, on climate resilience.

It evaluates a household’s ability to withstand and recover from “shocks and stressors” by using a UN Food and Agriculture Organization metric for “resilience index measurement and analysis” (RIMA).

For example, questionnaires are used to gather information about households in certain areas. The data is then used, together with key indicators, to quantify a household’s resilience to food insecurity, climate variability and economic crisis, amongst other risks.

The 25,511 households surveyed across sub-Saharan Africa were found to be relatively resilient overall and had a high capacity to bounce back from climate shocks. However, they had much lower ability to adapt, in order to build protective capacity in advance of extreme events.

In addition, the study finds that women’s financial empowerment had a positive impact on a household’s ability to “absorb” a climate shock, suggesting that financial access is critical for responding to climate change.

Community garden and climate adaption project, focusing on women's empowerment, Niger.
Community garden and climate adaption project, focusing on women’s empowerment, Niger. Credit: Joerg Boethling / Alamy Stock Photo

Increased empowerment through financial access enables women to make decisions about planting crops, to access credit in emergencies and to buy or sell food at a better price, the study notes.

For example, it says increased financial access and women’s empowerment help households to deal with the immediate consequences of an extreme weather event, such as a drought. This could be through building community mutual-support networks and by enabling access to savings, to keep the household running.

Anaisie says the study shows women’s empowerment has a significant impact on climate resilience. He tells Carbon Brief:

“If we include women in the financial system, in the case of any climate issue they can save, they can be independent, they can rely on investment to absorb these shocks. This empowerment will help them to be more resilient to climate shocks…We can make progress because SDG goals are all about inclusiveness. It’s all about inclusive growth.”

However, the study notes that financial access does not necessarily create long-term change, which would make the household less vulnerable to extreme weather in the first place.

The authors suggest that lasting structural and cultural change is important for bringing about long-term resilience. They say that policies to address gender inequalities would help bring this about.

They say such policies could include gender-sensitive agricultural credit schemes, subsidised climate insurance for women farmers in drought-prone regions, joint land-titling programmes and quotas for women in local climate-adaptation committees.

Such policies would have helped women impacted by recent severe floods in Ghana to protect their savings, Anaisie explains. He tells Carbon Brief: 

“Women are engaged in economic activities, especially informal activities. They have resources and money, but when the flood came in, many women lost that. If they had access to insurance, this flood wouldn’t have cost them that much.

“So, if the government comes out with financial initiatives, training, civic education and gender-focused initiatives, leadership training, women will be empowered and this will translate into their resilience with regards to climate change.”

Addressing climate vulnerability in sub-Saharan Africa

The study could have policy implications for sub-Saharan Africa, a region particularly vulnerable to the effects of climate change. The region faces increasingly extreme weather, heatwaves, droughts, wildfires and floods, as well as food scarcity and threats to crops.

The study suggests that policies to address structural and cultural barriers to women’s financial autonomy could be a key way to build climate resilience across the region.

However, it recognises that even where financial access is expanded, gender norms and cultural constraints continue to shape women’s social empowerment. This, in turn, affects their ability to adapt to climate change in the long term.

Ultimately, addressing structural inequalities is needed to minimise climate vulnerability, says Kajumba. She adds that supporting adaptation with financial access can allow households to absorb shocks without falling into poverty – and to rebuild after climate impacts.

Kajumba says that supporting adaptation with women’s financial access can allow households to absorb shocks without falling into poverty – and to rebuild after climate impacts. She adds:

“When they are supported [with] microloans, savings and all that, you will see change in income, change in households, change in health and education for the children as well.”

However, Kajumba notes that structural inequalities still “amplify” women’s vulnerability to climate impacts and make it harder for them to exercise agency and leadership. She adds:

“The tools that are being used are not always favourable for women…When we look at women in leadership and participation, you cannot lead or you cannot participate unless you have some level of income.”

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State of the climate: Rapidly developing El Niño raises chance of record-warm 2026

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As 2026 passes its halfway point, the world is watching one of the most rapidly intensifying El Niño events in the modern record take shape in the tropical Pacific.

The developing El Niño is boosting expectations for global temperatures, both this year and next.

El Niño is the warm phase of a recurring climate pattern in the tropical Pacific that releases heat from the ocean into the atmosphere, temporarily raising global temperatures and reshaping rainfall and extreme weather around the world.

Carbon Brief’s “state of the climate” report in April gave 2026 a 19% chance of setting a new global temperature record.

That chance now stands at 35% – a near-doubling in four months – with virtually all of the change driven by ever-stronger El Niño forecasts.

The key findings from the first half of 2026 include:

  • The first six months of 2026 were the third-warmest start to a year on record – around 1.4C above pre-industrial levels – behind only 2024 and 2025. 
  • While the first few months of the year came in as the fourth or fifth warmest, both May and June were the second-warmest ever recorded as El Niño conditions took hold.
  • El Niño conditions arrived in April and reached the threshold for a “strong” event by June, when the Niño3.4 index reached 1.6C. Of the 667 model runs Carbon Brief examined, 91% project a peak later this year that is above the strongest El Niño in history.
  • The chance that 2026 beats 2024 as the warmest year on record has risen to 35%. Carbon Brief’s central estimate remains that 2026 will be the second-warmest year, at around 1.51C above pre-industrial levels.
  • Whether 2026 sets a record will depend on the dataset: the odds range from around two-in-three in NASA and Berkeley Earth data to around two-in-10 in ERA5 and one-in-10 in the JRA-3Q reanalyses.
  • June 2026 was western Europe’s hottest June on record, amid a heatwave that set hundreds of individual records. Nearly 9% of the world’s surface saw record June warmth.
  • The developing El Niño will have its largest impact on 2027, which Carbon Brief projects to be around 1.7C above pre-industrial levels – this would comfortably set a new record for the warmest year.
  • Arctic sea ice has spent 39 days of 2026 so far at, or below, record daily lows following its joint-lowest winter maximum in the satellite era.

Third-warmest start to a year

Carbon Brief analyses records from six different groups that report global surface temperatures: NASA GISTEMP, NOAA GlobalTemp, Hadley/UEA HadCRUT5, Berkeley Earth, Copernicus/ECMWF ERA5 and the JMA JRA-3Q reanalysis.

The first half of 2026 was the third warmest on record in every one of the six datasets, behind only 2024 and 2025. The figure below shows annual temperatures since 1970, along with the 2026 year-to-date average (January-June) for each group.

Chart showing that the first half of 2026 was the third warmest on record
Annual global average surface temperatures from the six groups (lines), along with 2026 temperatures so far (January-June, coloured dots). Note that HadCRUT5 and ERA5 dots reflect January-May, as their June values were not yet published. Chart by Carbon Brief.

January 2026 was only the fourth- or fifth-warmest January on record, as lingering weak La Niña conditions suppressed temperatures. Since then, each month has climbed the rankings.

La Niña is the cool phase of the El Niño-Southern Oscillation (ENSO). It typically brings wetter conditions to Australia, Indonesia and equatorial South America and drier conditions to the southern US.

March was second-to-fourth warmest across datasets, April the third and both May and June were the second warmest ever recorded, behind only the corresponding months of 2024.

The chart below shows how June 2026 (thick red line) came in around 0.08C below the June record set in 2024 in the average of the six datasets.

Meanwhile, Copernicus reported that global sea surface temperatures over the ice-free oceans set a new June record.

Chart showing that 2026 saw the second-warmest June on record
Average global surface temperatures for each month from 1940 to June 2028 from six forecasting groups, with lines coloured by decade. Chart by Carbon Brief.

A record-breaking El Niño

ENSO is the largest source of year-to-year variability in global temperatures.

The most common way to assess the strength of an El Niño or La Niña event is by looking at the sea surface temperature anomaly in the “Niño3.4” region of the tropical Pacific.

El Niño and its sister La Niña occur when temperatures in the tropical Pacific are more than 0.5C (El Niño) or less than 0.5C (La Niña) below normal, where normal is defined by removing the effects of long-term climate change.

The thresholds for defining the strength of an El Niño or La Niña are above/below 1C for “moderate” events, 1.5C for “strong” events and 2C for “very strong” (or “super”) events.

After two years dominated by La Niña conditions, the tropical Pacific flipped decisively in April when the Niño3.4 index crossed the 0.5C El Niño threshold. It subsequently reached 1C in May and hit 1.6C in June, marking one of the fastest onsets in the observational record.

In the first few weeks of July, the index shot above 2C, significantly outpacing the speed at which any prior El Niño events developed.

Forecast models expect even more to come.

An analysis by Carbon Brief of the median of 667 model runs from 14 different modelling groups suggests that sea surface temperatures in theNiño3.4 region could peak at 3.59C between July and December.

More than 91% of runs predict the strongest El Niño event in the modern record. The previous record was set during the event of 2015-16, when temperatures peaked around 2.75C.

This is shown in the chart below, which features a histogram of the likelihood of different possible 2026 El Niño peaks across all the models on the top. The forest plot beneath shows the best estimate and range of outcomes predicted by each individual model.

Chart showing that El Niño is on track to set a new record in 2026
Top panel: Model-weighted distribution of each member’s peak Jul-Dec 2026 Niño3.4 anomaly (red bars), with the dotted yellow line indicating the weighted median (+3.6C) and the dotted blue line the prior record peak (2015-16, 2.75C). Bottom panel: median and 10th-90th percentile peak for each modelling group, with its typical peak month. The figure includes 667 model runs from 14 different modelling groups (from the CFS, NMME, C3S, CanSIPS and SINTEX-F systems). Chart by Carbon Brief.

The median forecast in every one of the 14 models suggests a peak that exceeds the 2C “super” El Niño threshold, with most models peaking in November or December.

Some caution here is warranted, however. Raw model Niño3.4 anomalies are measured against a fixed climatology. Because the entire tropical ocean has warmed due to human-caused greenhouse gas emissions, the models tend to overstate event strength relative to the historical record.

A cleaner comparison uses the relative Niño3.4 index (RONI), which subtracts the average tropical ocean warming.

This relative measure suggests the median forecast peak for El Niño in the latter half of 2026 is 3.1C. The prior record stands at a lower 2.69C, set in 1982-83.

Nevertheless, 77% of model runs still show a new record event occurring. This is shown in the chart below.

Chart showing that El Niño is on track to set a new record in 2026, even once warming is fully accounted for
Top panel: Model-weighted distribution of each member’s peak Jul-Dec 2026 RONI (red bars), with the dotted yellow line indicating the weighted median (+3.1C) and the dotted blue line the prior record peak (1982-83, 2.69C). Bottom panel: median and 10th-90th percentile peak for each modelling group, with its typical peak month. The figure includes 667 model runs from 14 different modelling groups (from the CFS, NMME, C3S, CanSIPS and SINTEX-F systems). Chart by Carbon Brief.

In summary, on both indexes, the central expectation is now for the strongest El Niño in the observational record.

Model forecasts made in the spring and early summer have historically shown some bias toward overpredicting event strength. However, forecasts made after the spring are considerably more reliable.

Widespread record warmth and a massive European heatwave

The map below shows the temperature anomaly for the first half of 2026 in the ERA5 dataset, relative to a 1981-2010 baseline period.

Global map showing global mean surface temperatures for January-June 2026 compared to a 1981-2010 baseline, using data from ERA5.
Global mean surface temperatures for January-June 2026 compared to a 1981-2010 baseline, using data from ERA5.

It shows how the largest warm anomalies were found across the Arctic – particularly north of Scandinavia and Svalbard – as well as western Europe, the western US, northern Mexico, central Asia, western China, eastern Russia and the Antarctic Peninsula region.

The developing El Niño is clearly visible as a tongue of warm anomalies stretching along the equatorial eastern Pacific. Only a few regions – central Canada, Alaska and parts of the Southern Ocean – saw temperatures below the 1981-2010 average.

Where 2026 ranks against history is even more striking. The map below shows where the period of January-June 2026 ranked among all 87 years in the ERA5 record, which stretches from 1940 to 2026. Grid cells marked in red saw temperatures in the first half of the year that were in the top-five warmest years.

Global map showing January-June 2026 per-gridcell ranks in ERA5.
January-June 2026 per-gridcell ranks in ERA5. 30% of the global surface saw a top-five warmest first half of the year; 7.1% saw record warmth. No areas (0.0%) saw top-five cold.

More than 30% of the global surface had a top-five warmest start to the year and 7.1% saw its warmest on record, including much of western Europe, the eastern equatorial Pacific and the seas around Japan.

Not a single grid cell had a top-five coolest start to the year. In June alone, 8.9% of the world’s surface saw record warmth for the month. This is illustrated in the map below, where grid cells marked in red saw temperatures that were in the top-five warmest years and grid cells in blue in the top-five coolest.

Global map showing June 2026 per-gridcell ranks in ERA5.
June 2026 per-gridcell ranks in ERA5.

The standout regional temperature event was a heatwave that struck Europe in late June.

Western Europe had its hottest June on record, recording an average temperature of 3.05C above the 1991-2020 average and beating the record set only a year earlier, according to Copernicus. A heat dome over 22-30 June broke 10 all-time national heat records and around 400 long-record station records.

France set a new June national record of 44.3C, while the UK broke its June record on three consecutive days, reaching 37.3C. The humid heat drove a death toll estimated in the thousands.

A separate heat dome also brought record June temperatures to parts of North America in late June.

On track to be second warmest, but a real chance at first

Carbon Brief’s updated projection for 2026 as a whole combines the observed January-June temperatures with the latest El Niño forecast. It uses a statistical model trained on the historical relationship between the first half of the year, ENSO conditions and annual temperatures observed over 1950-2025, excluding major volcanic eruption years.

Carbon Brief estimates that 2026 will be around 1.51C above pre-industrial levels, with a 90% range of 1.45C to 1.57C, shown by the yellow dot in the chart below.

This is up from 1.47C in the projection set out in April – and is notably more certain now that half the year has passed.

This central estimate would make 2026 the second-warmest year on record, just below 2024 (1.52C) and ahead of 2023 (1.43C) and 2025 (1.41C).

Chart showing that 2026 is on track to be the warmest or second-warmest year
Annual composite temperatures over 1970-2025, the 2026 year-to-date value (January-June, red dot), and Carbon Brief’s 2026 annual estimate (yellow dot with the 5th to 95th percentile range). Chart by Carbon Brief.

Carbon Brief’s modelling puts the chance that 2026 beats 2024 as the warmest year on record at 35%, using the average of the six different surface temperature records assessed. It puts the chance that 2026 comes in above 1.5C at around 63%.

If it does, 2026 would be the second calendar year – after 2024 – where warming averaged above 1.5C, in a further sign that the world is rapidly approaching the Paris Agreement’s 1.5C limit.

A single year above 1.5C does not by itself constitute a breach of the goal, which refers to the longer term average temperature of the planet. This is defined as the midpoint of a 20-year period by the Intergovernmental Panel on Climate Change (IPCC).

These likelihood of a record have been climbing rapidly throughout 2026.

Global temperatures so far throughout the year have run well below the record-setting levels of 2024 – around 0.13C cooler over the first six months.

On their own, temperatures observed so far in 2026 would make a new annual record unlikely.

However, rerunning the projection using only the data available at the end of each month since March – including both the year-to-date observations and the El Niño forecast issued that month – shows a shifting picture.

Using March data, 2026 had just a 7% chance of setting a new record. That rose to 16% in April, 24% in May, 27% in June and 35% using the latest data in mid-July.

This is shown in the chart below.

Chart showing that the chances of a record-warm 2026 have risen five-fold since March
Columns show the probability that 2026 exceeds 2024 as the warmest year on record, based on data available at the end of each month; the line shows the corresponding forecast of July-December ENSO conditions (relative Niño3.4 index). Chart by Carbon Brief.

Notably, this rise has little to do with observed temperatures. The year-to-date anomaly has actually drifted slightly down, from 1.41C after March to 1.39C after June.

Observed temperatures and fewer remaining months of the year contributed only around four percentage points of the 28-point rise in the likelihood; the remaining ~84% of the change comes from successive upward revisions to the El Niño forecast for late 2026.

However, whether 2026 ends up becoming the warmest year on record may end up depending on which dataset is used.

Running the same projection gives odds of a 2026 record of around two-in-three for Berkeley Earth (66%) and NASA GISTEMP (65%), but only 35% for HadCRUT5, 24% for NOAA and just 13% and 9% for the ERA5 and JRA-3Q reanalyses, respectively.

This is shown below.

Six charts showing observed annual temperatures for 2026 and the projections for each dataset
Observed annual temperatures since 1990, with each dataset’s own 2024 record (dashed line) and the 2026 projection (median, 25-75% bar and 5-95% whisker), with the per-dataset chance of a 2026 record in each panel’s title. Chart by Carbon Brief.

The divergence between projections mostly reflects how exceptional each dataset’s 2024 was.

The reanalysis approaches recorded a particularly warm 2024, leaving 2026 more ground to make up. GISTEMP and Berkeley, on the other hand, project 2026 modestly above their 2024 values.

A repeat of the situation in 2015 where different groups disagreed on record rankings is a real possibility. Headlines in January 2027 may hinge on choices of dataset.

2027 likely to be the warmest year in human history

The biggest climate story of the developing super El Niño may not be 2026 at all.

Global temperatures typically lag in the tropical Pacific by around three months. So, an El Niño event peaking in November and December 2026 will have its largest warming influence on 2027.

We saw this same pattern occur in 1997-98, 2015-16 and 2023-24 – where the year in which the El Niño developed was warm, but the following year was record-smashing.

Carbon Brief has extended its projection into 2027 by using the historical relationship between year-over-year temperature changes and ENSO conditions in the preceding autumn.

This yields a best estimate for 2027 of around 1.71C above pre-industrial levels, with a 90% range of 1.49C to 1.93C. This is shown by a yellow square on the chart below.

Chart showing that 2027 is likely to set a new global temperature record
Observed annual composite temperatures 1970-2025 and Carbon Brief’s projections for 2026 and 2027 (medians and 5th to 95th percentile ranges). Chart by Carbon Brief.

That would give 2027 a 92% chance of setting a new global temperature record and a 94% chance of exceeding 1.5C.

Taking 2026 and 2027 together, there is a 93% chance that at least one of the two years sets a new record.

The 2027 estimate is more uncertain than the 2026 one. As with 2026, there are uncertainties in the projection due to unknowns around exactly how strong the El Niño peak proves to be and how quickly it decays.

However, even the low end of the 2027 range would put it among the warmest years on record and the central estimate of 1.71C would exceed 2024 by nearly 0.2C.

If these projections bear out, the 2020s will have delivered new global temperature records in 2023, 2024 and 2027 – and potentially 2026 too – with a number of individual years well above the 1.5C threshold.

The long-term warming trend, driven by human emissions of carbon dioxide and other greenhouse gases, has increased from around 0.18C per decade in the early 2000s to around 0.27C per decade today. El Niño and La Niña play a big role in determining which years along that rising path stand out as records.

Arctic sea ice at record lows

Arctic sea ice has spent much of 2026 in record-low territory.

Following the joint-lowest winter maximum in the satellite record in mid-March, daily extent has set or tied record lows for the date on 39 days so far this year, including extended spells in mid-to-late March and in early-to-mid June.

The most recent record-low days were in early July.

The chart below shows how Arctic sea ice in 2026 (dark red line) has been below the historical range (shaded red).

It also shows how Antarctic sea ice (dark blue), meanwhile, has remained below the 1979-2010 range for almost all of 2026 to date.

Chart showing that Arctic sea ice has been at a record low for most of 2026
Daily 2026 sea ice extent (bold lines) compared to the 1979-2010 historical range (shaded) and the record daily low from any prior year (dotted). Chart by Carbon Brief using data from NSIDC

As of mid-July, Arctic extent is a bit below the 1979-2010 historical range for the date, though it remains around 0.6m square kilometres (km2) larger than the record low for the date set during 2020’s exceptional summer melt season.

The trajectory over the coming two months will determine whether 2026 challenges 2012’s record September minimum. Early-summer conditions are a poor predictor of the September minimum, which depends heavily on summer weather.

Antarctic sea ice, meanwhile, is currently around 300,000km2 below the historical envelope, but has stayed well clear of the record lows set in 2023 and has not set any new daily records yet this year.

The post State of the climate: Rapidly developing El Niño raises chance of record-warm 2026 appeared first on Carbon Brief.

State of the climate: Rapidly developing El Niño raises chance of record-warm 2026

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