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Global temperatures in 2023 blew past expectations to set the warmest year on record, even topping 1.5C in one of the main datasets

This warmth has continued into 2024, meaning that this year is also on track to potentially pass 1.5C in one or more datasets.

Crossing 1.5C in one or even two years is not the same as exceeding the 1.5C limit under the Paris Agreement. The goal is generally considered to refer to long-term warming, rather than annual temperatures that include the short-term influence of natural fluctuations in the climate, such as El Niño.

Nonetheless, recent warming has led to renewed debate around whether the world might imminently pass the 1.5C Paris Agreement limit – sooner than climate scientists and Intergovernmental Panel on Climate Change (IPCC) have previously estimated.

Here, Carbon Brief provides an updated analysis of when the world will likely exceed the Paris 1.5C limit (in a scenario where emissions are not rapidly cut), using both the latest global surface temperature data and climate model simulations.

The findings show that, while the best estimate for crossing 1.5C has moved up by approximately two years compared to Carbon Brief’s earlier 2020 analysis, it remains most likely to happen in the late 2020s or early 2030s – rather than in the next few years.

Understanding global temperature targets

Human emissions of CO2 and other greenhouse gasses have substantially warmed the planet over the past 150 years. On top of this human-driven warming, there is year-to-year natural variability largely associated with El Niño and La Niña events

A big El Niño or La Niña event can result in global temperatures up to 0.2C warmer or cooler, respectively, than they would otherwise be. 

As the world has been warming by around 0.2C per decade, a large El Niño event can represent an early look at what typical global temperatures will be a decade in the future. Or, to put it another way, human emissions are adding a permanent super-El Niño’s worth of heat to the climate system each decade.

In the 2015 Paris Agreement, the international community agreed to limit warming to well-below 2C above pre-industrial levels and “pursue efforts to limit the temperature increase to 1.5C”. While there is no set definition for the time period against which the goal is measured, it is generally interpreted to refer to long-term, human-driven warming.

For example, the IPCC’s recently completed sixth assessment report (AR6) uses the midpoint of a 20-year period as a way to avoid overinterpreting short-term natural variability. 

While a useful approach, this definition has the unfortunate side-effect that scientists will not know for sure that the world passed 1.5C until 10 years after it has happened.

This has led the community to propose a number of alternative approaches, such as Carbon Brief’s 2020 analysis and a 2023 Nature commentary by Prof Richard Betts and colleagues at the UK Met Office.

An updated approach for determining exceedance

Here, Carbon Brief provides an update to our 2020 analysis of both observations and the latest generation of climate models to assess when the world will likely pass the 1.5C limit across different surface temperature datasets. 

While the IPCC’s 20-year average is one approach to remove short-term variability, it comes with the important downside of not being able to extend up to the present day. An alternative approach is a smoothed average using a local regression (LOWESS). 

LOWESS provides an estimated value at each point in time based on a weighting where nearby points are given the highest weights and those further away are given less weight. It is an approach commonly used in timeseries analysis that can account for changes in the behaviour of data over time without assuming it is linear.

However, LOWESS approaches still require a choice on the part of the user; namely, how many nearby points should be considered when determining the smoothed average. The figure below shows three potential options that could be used: a window of the nearest 10 years, 20 years or 30 years around each point. 
The data shown are a composite average of four different global surface temperature records – NASA’s GISTEMP; NOAA’s GlobalTemp; Hadley/UEA’s HadCRUT5; and Berkeley Earth – that extend back into the 1800s.

Annual global mean surface temperatures from a composite average of NASA’s GISTEMP, NOAA’s GlobalTemp, Hadley/UEA’s HadCRUT5, and Berkeley Earth (black dots) along with LOWESS fits using 10-year, 20-year, and 30-year windows. Chart by Carbon Brief.

Annual global mean surface temperatures from a composite average of NASA’s GISTEMP, NOAA’s GlobalTemp, Hadley/UEA’s HadCRUT5, and Berkeley Earth (black dots) along with LOWESS fits using 10-year, 20-year, and 30-year windows. Chart by Carbon Brief.

In this case, both 20-year and 30-year windows show similar long-term changes in temperature, while a shorter 10-year window does not fully remove short-term variability associated with El Niño and La Niña events. 

For this analysis, Carbon Brief selected a 30-year window for removing natural variability, though a 20-year window would have given nearly identical results. (As discussed above, there are a number of alternative approaches that could be used. These are assessed in the UK Met Office’s Climate Dashboard, though they all give comparable results to the LOWESS approach used here.)

To determine when the world will pass 1.5C and 2C, Carbon Brief combines smoothed averages of both observed temperatures and climate model projections.

The observed temperatures are used to determine the level of warming to date – 1.3C in the composite average – while climate models are used to assess the range of possible warming into the future. This approach has an advantage over just using climate models as it avoids any historical mismatch between modelled and real-world temperatures.

The figure below shows the combined smoothed average from the observations and climate models, with the climate models normalised to the observations in 2023. Global temperatures are assessed to be 1.3C in 2023, with a wide range of possible future warming determined by the spread in warming after 2023 across 37 different climate models in the CMIP6 ensemble using the SSP2-4.5 current-policy-type scenario.

Annual global average surface temperatures from the composite average (black dots) along the 30-year LOWESS fit (black line), combined with 37 CMIP6 models smoothed using the same 30-year LOWESS fit. Models and observations are aligned using the smoothed average values for 2023. Chart by Carbon Brief.

Annual global average surface temperatures from the composite average (black dots) along the 30-year LOWESS fit (black line), combined with 37 CMIP6 models smoothed using the same 30-year LOWESS fit. Models and observations are aligned using the smoothed average values for 2023. Chart by Carbon Brief.

This approach suggests that the world will pass 1.5C around the year 2030 (representing the 50th percentile, or central estimate, of all the model runs), with a range of anywhere from 2028 (5th percentile) up to 2036 (95th percentile). 

Similarly, the world will pass 2C around the year 2048, with a range of 2040 to 2062 across all models assessed.

The figure below shows distribution of exceedance years (that is, the year in which the target is exceeded) across all of the different CMIP6 models. The width of the plot indicates the portion of models that show the temperature limit passed in a given year – the wider the plot, the more agreement across the models.

The spread of model projections for breaching 1.5C and 2C
Violin plot showing the distribution of exceedance years across CMIP6 models for 1.5C and 2C. The width of the plot indicates the portion of models that show the temperature limit passed in a given year. Each violin plot also shows a box plot including the median and interquartile range shown. Chart by Carbon Brief.

The results are broadly similar to Carbon Brief’s 2020 analysis, though the best estimate of when the world will pass 1.5C has moved up from 2032 to 2030, reflecting both a higher estimate of warming to date (including the development of HadCRUT5) and an inclusion of more CMIP6 model runs than were available at the time. 

The 5th and 95th percentile has narrowed to 2028-36 compared to 2026-42 in the 2020 analysis, showing the impact of three additional years of data on reducing the resulting model spread.

Sensitivity to the choice of datasets

While the averaging of different datasets into a composite average follows the approach used in the IPCC AR6 and by the WMO, it somewhat obscures important differences in estimates of warming since pre-industrial times across different research groups.

While the long-term warming the world has experienced in the composite average is 1.3C as of 2023 (similar to the results in the new Forster et al study), applying the same LOWESS smoothing approach to each individual record yields fairly different results, ranging from as low as 1.22C to 1.41C across the four different groups:

  • Composite Average: 1.30C
  • Berkeley Earth: 1.41C
  • HadCRUT5: 1.30C
  • NASA GISTEMP: 1.24C
  • NOAA GlobalTemp: 1.22C

These differences reflect a number of factors, including what land station data is included in each record, the ocean sea surface temperature datasets used and how different groups fill in the gaps between observations – particularly in the early part of the record when station data is more sparse.

The table below gives the resulting 1.5C exceedance years when Carbon Brief’s approach is applied to each different temperature record: 

Projected year of 1.5C breach
Dataset 50th percentile 5th percentile 95th percentile
Composite 2030 2028 2036
Berkeley Earth 2027 2025 2031
HadCRUT5 2030 2028 2036
NASA GISTEMP 2032 2029 2040
NOAA GlobalTemp 2033 2030 2041

Using the Berkeley Earth record gives a central estimate of passing 1.5C as early as 2027 (ranging from 2025 to 2031), while NOAA gives an estimate as late as 2033 (2030 to 2041).

Similarly, here are the results for the 2C exceedance year:

Projected year of 2C breach
Dataset 50th percentile 5th percentile 95th percentile
Composite 2048 2040 2062
Berkeley Earth 2045 2037 2056
HadCRUT5 2048 2040 2062
NASA GISTEMP 2050 2041 2067
NOAA GlobalTemp 2051 2042 2068

It is worth noting that there is no “correct” answer as to the best surface temperature record to use. Rather, the range of results across the different records represent real uncertainty around when the world will pass 1.5C and 2C.

Other approaches get similar results

This analysis is far from the first time the scientific community has asked when the world will pass various climate limits or how to best calculate the level of warming the world has experienced to date.

Copernicus/ECMWF provide a regularly updated “global temperature trend monitor” that uses a more simple approach – a linear trend over the past 30 years – to assess when global temperatures will likely exceed 1.5C in their ERA5 dataset.

Global warming reached an estimated 1.28C in April 2024. If the 30-year warming trend leading up to then continued, global warming would reach 1.5C by May 2033.
Monthly average global surface temperatures in the ERA5 reanalysis product, along with their estimated 1.5C exceedance date based on a linear trend. From Copernicus/ECMWF.

This approach gives a slightly later date, 2033, than the climate model-based approach Carbon Brief uses. This reflects the fact that most models anticipate a modest acceleration in the rate of warming that might not be fully captured using a linear trend over the past 30 years.

An alternative approach to determining when the world will pass 1.5C is to use the “assessed warming projections” developed for AR6. These assessed warming projections more closely match observed temperatures than the full CMIP6 ensemble. 

They also provide a narrower range of future warming than the full set of CMIP6, as they give less weight to “hot models” in CMIP6 that are inconsistent with the IPCC’s assessment of the likely range of climate sensitivity.

Annual global average surface temperatures from the composite average (black dots) along the 30-year LOWESS fit (red line), combined the AR6 assessed warming projection for SSP2-4.5 as published and without any baseline alignment. Chart by Carbon Brief.

Annual global average surface temperatures from the composite average (black dots) along the 30-year LOWESS fit (red line), combined the AR6 assessed warming projection for SSP2-4.5 as published and without any baseline alignment. Chart by Carbon Brief.

In addition, AR6 features an estimate of 1.5C exceedance dates based on the ScenarioMIP assessment of CMIP6 models (and previously covered by Carbon Brief here).

These three different approaches are compared to Carbon Brief’s new assessment in the table below:

Approach 1.5C exceedance year
Carbon Brief (Composite, SSP2-4.5) 2030 (2028 to 2036)
Copernicus 2033
AR6 Assessed Warming (SSP2-4.5) 2031 (2024 to 2043)
AR6 ScenarioMIP (SSP2-4.5) 2030 (2021 to 2046)

Both AR6 approaches include a wider range than the Carbon Brief approach as they rely on models that have differing estimates of current global temperatures relative to pre-industrial.

For example, the AR6 assessed warming projections give a best estimate of 2023 global temperatures (in the absence of short-term natural variability) as 1.31C, with a range from as low as 1.15C to as high as 1.48C. However, these are comparable to the range of warming to date (1.22C to 1.41C) across the different surface temperature records.

There is no single best way to assess when the world will likely pass 1.5C. But both Carbon Brief’s approach and those of other groups all agree it will most likely happen in the late 2020s or early 2030s in a world (SSP2-4.5) where global emissions remain around current levels.

The post Analysis: What record global heat means for breaching the 1.5C warming limit appeared first on Carbon Brief.

Analysis: What record global heat means for breaching the 1.5C warming limit

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Q&A: What can – and cannot – be said about global warming’s role in the 2026 Himalayan floods

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On the morning of 26 August, flash floods surged through a Himalayan border region of Nepal and the Chinese region of Tibet, killing more than 1,300 people, with thousands still missing.

In the days since the floods, scientists have examined satellite imagery, drone footage and seismic data in order to understand and explain the forces behind the event.

While initial theories pinned the flood on a glacial collapse, scientists now understand the event as a “multi-hazard cascade”, which began with a bedrock collapse.

Some climate sceptics have tried to use this to falsely claim that human-caused climate change had no impact on the event.

Yet, scientists have noted that, while no formal attribution study has been carried out thus far, warming is making such ice-rock avalanches in the region more likely.

Researchers have highlighted how rapid warming is dramatically reshaping Asia’s high-mountain region – and identified rising temperatures, glacier retreat and permafrost thaw as factors that may have all contributed to the disaster.

Balendra Shah, Nepal’s prime minister, has called the floods a “serious signal that…the risks we must bear in the Himalayan region are increasing” due to climate change.

Here, Carbon Brief unpacks what scientists currently know about the causes of the catastrophic event and what they can – and cannot – say about the role of climate change.

What happened?

A report published on 28 August by the HiRisk scientific consortium of high mountain experts detailed the events that led to the flash floods.

It said that events were set in motion on 26 August when a mass of bedrock, as well as the glacier ice on top of it, broke off a slope of Langtang-Lirung mountain in the Nepalese Himalaya, plunging from approximately 5,200 metres above sea level to the valley floor at 3,000 metres.

The landslide shook the ground hard enough that, at 8:37am Nepal local time, the US Geological Survey (USGS) initially reported a magnitude 4.4 earthquake. Later that day, it clarified the shaking was caused by glacier collapse and debris flow, equivalent to a magnitude 5.2 earthquake.

On the valley floor, the melting ice, water and debris slammed into the Lhende Khola river, a high-altitude river that runs along Nepal’s border with China.

Known downstream as the Bhote Koshi river in Nepal and the Poiqu or Poqu in China, the Lhende Khole feeds a network of rivers across Nepal and the Chinese region of Tibet, including the Trishuli river. (In China, the Lhende Khola is known as the Donglin Tsangpo.)

This image shows a map of Nepal.
The designations employed and the presentation of the material on this map do not imply the expression of any opinion whatsoever on the part of Carbon Brief concerning the legal status of any country, territory, city or area or of its authorities, or concerning the delimitation of its frontiers or boundaries. Credit: Carbon Brief.

A large “debris” lake was briefly formed on the valley floor. When this lake burst, a wall of water and rock travelled downstream, killing more than a thousand people and destroying settlements, roads, bridges, hydropower plants and border posts across Nepal and Tibet.

HiRisk said that the floodwave travelled down rivers as fast as 30km an hour (around 19 miles per hour) and reached Mugling – a Nepalese town more than 130km downstream – at around 1pm local time.

A separate report from the Center for Land Surface Hazards in the US noted that the flood moved “exceptionally fast, was sediment-laden and extreme in scale”. For example, in the Nepalese municipality of Galchhi, the Trishuli river rose by nine metres in 30 minutes, it said.

Writing in the Conversation, Dr Umesh Haritashya, a glaciologist at the University of Dayton in Ohio, explained that the disaster “wasn’t finished when the first wall of water passed [on 26 August]”.

He continued that a new “barrier lake” – estimated to hold a few million cubic metres of water – had developed in a location where two rivers meet in Tibet before crossing into Nepal. This lake burst on 28 August and the river rose again, he said.

On 4 September, the chief of Nepal’s National Disaster ​Risk Reduction and Management Authority, told Reuters that property and infrastructure worth “at least” $2.5bn (£1.9bn) had been lost. Dharma Raj Upreti estimated the cost to build roads and temporary shelters, provide drinking water and ⁠restore power would be around $53m (£39m).

How did bedrock collapse trigger the flash floods?

In the immediate aftermath of the floods, initial reports suggested that the trigger was a collapsing glacier or earthquake in the high mountains of Nepal.

After confirming that a seismic tremor was as a result of falling rock and ice, the USGS said the trigger was likely a “glacial collapse and debris flow”. This was widely picked up by the media.

Subsequently, satellite imagery revealed that an “enormous chunk of the mountainous bedrock” beneath the glacier had also given way, reported the New York Times.

Dr Kristen Cook, a geomorphologist at the Université Grenoble Alpes in France, told the newspaper:

“The rock that the glacier was sitting on collapsed…It was a much larger collapse than we were initially able to see in the satellite imagery.”

The result was a “deluge of rock and ice, which pulverized into mud and water as it surged down the mountainside”, the newspaper said.

Dr Jakob Steiner a geoscientist at the University of Graz in Austria, tells Carbon Brief:

“It was not a glacier that collapsed. It was the mountain below the glacier that collapsed and the glacier had no other chance but to go with it because it was sitting on top of it.

“The trigger for that is something that we are not 100% certain about, but, in the end, it very much looks like simply a mechanical failure of the rock material because of stressors that have built up over a long period of time.”

Failures of “bedrock” – the hard, solid rock that sits below looser rocks and soil – are an “increasingly common occurrence”, says Prof Bethan Davies, a professor of glaciology at Newcastle University. She tells Carbon Brief:

“These massive landslides occur in mountain regions, commonly following rapid deglacierisation [the melting away of a glacier]. Similar events happened in the Chamoli event in 2021 [in the Indian Himalaya] and in the Blatten landslide last year in Switzerland. They’ve also occurred recently in Alaska.”

With a shift in focus from the failure of a glacier to the bedrock underneath, some climate sceptics seized on the development to falsely claim that climate change had not played any role in the disaster.

These include Dr Matthew Wielicki, recently appointed by the Trump administration to lead the US Global Change Research Program, on Twitter, as well as former Conservative peer and climate-sceptic commentator Matt Ridley in the Spectator.

However, scientists have highlighted the likely contribution of rapid warming in the region. These factors include the thawing of permafrost and glacier retreat. (For more, see sections below).

Fundamentally, “this would have been a much less significant tragedy if it had been just a rock-slope failure”, notes Davies.

The initial landslide took a mixture of rock and ice into a valley that “contains buried ice” as well, she says, providing the water that “resulted in the hyperconcentrated flow, which took so many lives”.

How have temperatures risen in the affected region?

Global temperatures have risen by roughly 1.4C since the pre-industrial period. However, this increase is not uniform across the planet, with some regions warming faster than others.

A study published in Global and Planetary Change in June 2026 investigated changes in the Langtang catchment – a river basin in central Nepal, in which the Langtang-Lirung mountain is located, which eventually drains into the Ganges. Around one-quarter of the area is made up of glaciers.

The paper found that glacial areas of the catchment – found at 4,000 metres above sea level – warmed at 0.31C per decade over 1960-2023. This was “more than three times” the rate observed at a lower elevation weather station, the authors said.

Looking in more detail at the site of the glacial collapse, Dr Robert Rohde, chief scientist for Berkeley Earth, used ERA5 reanalysis data to show how temperature has changed at the 5,200-metre elevation site where the mass of ice and rock broke loose.

Rohde’s analysis found that June-to-August temperatures have been rising at the site of the glacier collapse since the year 1940, with 2026’s summer the fourth warmest on record, behind 2024, 2025 and 2022. This is shown in the graph below.

Average summer (June-August) temperature at the ice-rock avalanche site over 1940-2026.
Average summer (June-August) temperature at the ice-rock avalanche site over 1940-2026. Data source: Rohde, Bluesky (2026)

Rohde also found that the days leading up to the disaster recorded the hottest August temperatures ever experienced at the site. This is shown in the graph below.

Daily average temperature, from 1 June-1 September, at the glacier collapse site.
Daily average temperature, from 1 June-1 September, at the ice-rock avalanche site. 2026, 2025 and 2024 are shown in dark, mid and light blue. All other years from 1940-2023 are shown in grey. Source: Rohde, Bluesky (2026)

On social media, Rohde stated:

“Given the warming trend, this Nepali glacier had probably been thinning and weakening for years, or even decades. But it ultimately failed during the warmest week in one of its warmest years on record. It would be a hell of a coincidence if global warming wasn’t at least partially to blame.”

How have rising temperatures affected mountain stability?

Many experts have linked warming temperatures in the region to thawing permafrost – ground that has been frozen for at least two consecutive years, whose thickness ranges from less than one metre to more than a kilometre.

Steiner is part of a research team that has been using sensors to monitor permafrost in the region since 2014. He tells Carbon Brief that it is “pretty clear” the permafrost has been thawing “very actively” at elevations as high as 5,200 metres above sea level “for many years”. He adds:

“This means that the ground has, over the last decades, moved from being in a solid state into – at least, periodically during the warm season – patchy ground where some is frozen and some isn’t…

“If you have frozen ground next to non-frozen ground, you have dynamics happening between that because there are different densities and there’s movement happening, which is conducive to interventional failure – and that we know from many other cases.”

Davies also points to the “degradation” of perennially frozen ground as a factor in the disaster:

“This permafrost acts as a glue to hold together the rocks and, as it melts, the rock can become weakened.”

Permafrost thaw can also result in saturated ground, says Davies, which adds “pressure in the joints” of rock and can “facilitate” failure. She continues:

“Sources of the water include melting permafrost and meltwater from the overlying glacier. We know that this event happened during a period of warmth, but in the absence of heavy precipitation, pointing to ice melt as the source of water.”

A 2025 study of rock and ice avalanches in High Mountain Asia found that more than two-thirds started in areas “where permafrost is probable”.

How have glaciers retreated in the affected region?

Glaciers – frozen rivers of ice holding three-quarters of the global freshwater supply – are extremely vulnerable to climate change.

In the Himalaya, the rate of glacier retreat has doubled since the late 20th century, according to a 2019 study in Science Advances.

The Global and Planetary Change study found that glacier area loss rates in the Langtang catchment increased more than fourfold from 1964 to 2023 – with melting accelerating after 2000.

It added that glaciers in the region also experienced “fragmentation” and “widespread thinning” over this period.

The study noted that this loss “coincided with elevation dependent warming”.

The figure below provides an overview of glacier loss in the Langtang catchment over 1964-2023, with orange, red and dark red indicating areas of retreat.

In addition, green dots note points of glacier fragmentation, while blue dots show separation and pink show disconnection.

Glacier loss in the Langtang catchment over 1964-2023.
Glacier loss in the Langtang catchment over 1964-2023. Orange, red and dark red indicate areas of retreat. Green dots note points of glacier fragmentation, while blue dots show separation and pink show disconnection. Credit: Silwal et al. (2026)

In comments released by the University of Reading, Prof Maria Shahgedanova, a climate scientist researching climate impacts on mountain glaciers, said that the glacier involved in the floods had “retreated by approximately 450 metres between 1990 and 2020”.

She adds that this “potentially reduce[d] the mechanical support provided by the glacier to the underlying rock slope”.

Speaking to Carbon Brief, Davies reiterates that the retreat of the glacier is “potentially a contributing factor” to the bedrock collapse and subsequent disaster.

This is because the removal of the glacier from the lower slopes leaves the “upper rock slopes less stable”, she says.

The most recent assessment by the International Centre for Integrated Mountain Development said that glaciers in the Hindu Kush Himalaya region are “rapidly shrinking” as a result of climate change. (This region extends 3,500km over Afghanistan, Bangladesh, Bhutan, China, India, Myanmar, Nepal and Pakistan.)

It said this loss is threatening the safety of the nearly two billion people, including by increasing the risk of “glacial lake outburst floods” (GLOFs). A GLOF is a sudden and catastrophic release of meltwater from a glacial lake.

Although this disaster was not caused by a GLOF, it is known that climate change is making such events more likely.

Can the event be attributed to climate change?

In the wake of the flash floods, climate campaigners, media outlets and Nepalese politicians have linked them to human-caused climate change.

However, many climate scientists have cautioned that it is too early to say precisely how climate change impacted the disaster.

Davies tells Carbon Brief:

“These events happen so quickly that the exact causes and drivers can take a little time to uncover, especially if the event was a surprise and there had been no monitoring system in place.”

When trying to determine the role human-caused climate change played in the intensity or likelihood of extreme weather, scientists turn to the field of “attribution science”.

To date, no formal rapid attribution study has been produced that attempts to quantify whether – and how – climate change contributed to the event.

Scientists have noted that climate attribution of ice-rock avalanches – which are typically driven by a variety of factors – remains limited, in part because of the lack of a long-term observational record of previous collapses in high mountain areas.

Meanwhile, the studies that do exist stop short of directly linking such disasters to climate change. For example, the authors of a 2021 study into the Chamoli ice-rock avalanche concluded that “we cannot attribute this individual disaster specifically to climate change”.

However, they added, the “possibly increasing frequency of high-mountain slope instabilities can likely be related to observed atmospheric warming and corresponding long-term changes in cryospheric conditions (glaciers and permafrost)”.

In the aftermath of the disaster, many researchers have similarly highlighted that climate change could not be singled out as the cause of the disaster, even if warming likely increased the probability of its occurrence.

On the Climate Brink substack, Carbon Brief’s climate science contributor Dr Zeke Hausfather noted that a “definitive single-event attribution” of the more recent disaster “may never be possible” due to the “messy causality of rock-ice avalanches”.

However, he added that both the existing scientific literature and “essentially every scientist working on these hazards point in the same direction” – namely, that warming is making such events more likely in the Himalaya.

Steiner tells Carbon Brief it might be possible to attribute different factors that played a role in the disasters to climate change – for instance, the recession of the glacier – but it would be more difficult to do so for the event as a whole.

Part of the reason for this, he says, is that rock failures in this region of the Himalaya have occurred for millennia, well before humans started altering the climate.

However, he continues:

“The physics of it is not something that has been made possible by climate change. This could have happened without it. But the chance of it happening – and the likelihood of it happening five years after a previous, similar event [in Chamoli] – we, as the scientific community, can be pretty confident about that [being increased because of a changing climate].

“This is because so many of the changes that we know are related to climate change can potentially drive the build-up to eventual failure.”

Ultimately, says Davies, a “careful attribution study is needed, but it is hard to argue that the rapidly warming climate is not having an effect in these regions”. She adds:

“A single event may have multiple drivers, but we are seeing an increase in these events and are likely to see more as the permafrost and glacier melt continues.”

The post Q&A: What can – and cannot – be said about global warming’s role in the 2026 Himalayan floods appeared first on Carbon Brief.

Q&A: What can – and cannot – be said about global warming’s role in the 2026 Himalayan floods
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China’s industrial engine starts to break its fossil fuel habit

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Chinese industry is beginning to shift from fossil fuels to clean electricity, with wind, solar and batteries progressively displacing coal, oil and gas across the industrial sectors that made the country the world’s factory and largest carbon emitter, a new analysis shows.

Clean electricity met all of China’s demand growth in 2025 and coal generation fell for the first time in a decade, even as electricity demand rose by 5%, the report found.

Despite a rebound in coal power generation in the first half of 2026, the analysis by global energy think-tank Ember found the growth in clean electricity illustrates a longer-term shift: a massive build-out of wind, solar energy and battery storage and deepening electrification of the economy are starting to make a dent in the fossil-fuel energy system supporting China’s industrial base.

China keeps Indonesia’s battery dream afloat but future less certain

The research identifies early signs that a structural transformation of China’s industrial economy from coal, oil and gas to clean electricity is underway, even if changes on the ground are not yet reflected in national data.  

“The energy foundation of the Chinese industrial economy is shifting,” Muyi Yang, a senior energy analyst at Ember and the report’s lead author, told Climate Home News.

“Fossil fuels are progressively being replaced in the many functions they have historically assumed. Because of that, fossil fuel peaking is increasingly coming into view,” he said.

Electrifying industry

Coal generation has stopped growing in 17 of the 26 provinces and regions analysed by Ember between 2021 and 2025. This includes industrial centres such as Hunan in southern China and Shandong – home to energy-intensive industries like cement production. Together, these regions are home to more than half of China’s thermal power capacity.

A greater share of the Chinese economy is now running on electricity than in other major economies, accounting for 29% of final energy consumption in 2024, compared with about 23% in Europe and 21% in the US. Less than half of China’s electricity was generated from coal in the first half of the year.

    Meanwhile, fossil fuel use has fallen in eight of 11 tracked industrial sectors, declining between 26% and 71% from peak consumption levels across fossil fuel extraction, manufacturing industries such as textiles, machinery and food and beverages, transport equipment and chemical materials.

    Earlier this year, German company BASF, the world’s largest chemical producer, opened a new facility in southern China, which is fully supplied by renewable energy. The company said emissions from the site could be 50% lower than conventional petrochemical facilities.

    An employee walks near fields of heliostat mirrors at the site of Dunhuang Shouhang 100MW Tower Solar Thermal Power Generation Project, during an organised media tour to Dunhuang Photovoltaic Industrial Park, in Gansu province, China (Photo: REUTERS/Tingshu Wang)

    An employee walks near fields of heliostat mirrors at the site of Dunhuang Shouhang 100MW Tower Solar Thermal Power Generation Project, during an organised media tour to Dunhuang Photovoltaic Industrial Park, in Gansu province, China (Photo: REUTERS/Tingshu Wang)

    In easier-to-electrify sectors such as machinery, electronics and textiles, electricity now supplies about three-quarters of final energy consumption, Ember found.

    Fossil fuel use is also showing signs of flattening in the metals smelting and processing sector – one of the most fossil-intensive parts of the economy – offering “encouraging signs” that the transformation is starting to take hold in harder-to-abate sectors, said Yang.

    “If that is happening in more and more provinces, and more and more economic sectors that means that fossil fuels are progressively being squeezed out of the energy system,” he said.

    “Growing by greening”

    China’s vast cleantech manufacturing power has become an engine for growth in its own right, spurring investment, creating jobs and generating export revenues.

    Yang described this “growing-by-greening” dynamic as “turning each step of the transition into a source of strength for the next”.

    China and Brazil join pledge to triple global nuclear energy capacity

    For Li Shuo, director of China Climate Hub at the Asia Society Policy Institute, this is part of what makes China’s lead in manufacturing clean energy equipment “irreversible”, comparing its growth with that of a rainforest, where different parts of the ecosystem thrive by reinforcing one another.

    The early success of deploying wind and solar helped drive down electricity costs, which created favourable conditions for the rapid adoption of electric vehicles (EVs) and in turn boosted demand for batteries that are now critical to balance the grid.

    A livestreamer promotes coal during a livestreaming session for Huaze Coal Industry on the Douyin app (Photo:REUTERS/Florence Lo/Illustration)

    A livestreamer promotes coal during a livestreaming session for Huaze Coal Industry on the Douyin app (Photo:REUTERS/Florence Lo/Illustration)

    An oversupply of renewable energy incentivised industrial players to benefit from cheap and readily available clean power generation, encouraging innovative solutions to electrify other parts of the economy. In the transport sector, for example, electrification is moving from passenger vehicles to harder-to-electrify trucks.

    This abundance of cheap green energy is also making China competitive in what has long been seen as the anchor of Western competitiveness, Li said.

    Stalling fossil fuel use

    At the same time, China’s huge legacy fossil fuel generation capacity is still expanding, even as coal power plants are being used less intensively.

    China brought 30 GW of new coal power capacity into operation in the first six months of the year and coal-fired generation rose 3% over the same period after local governments fast-tracked coal projects to prevent a repeat of severe power shortages in 2021.

    Solar surge kept fossil electricity flat in 2025 as China and India made ‘historic’ shift

    A further 274 GW of coal capacity is either under construction or has permits to be built while vast amounts of solar and wind power that could not be absorbed by the grid have gone to waste in the first half of the year.

    “This doesn’t mean that the transition is losing steam,” said Yang, arguing that China is now grappling with some of the more complex aspects of the transition.

    A recent analysis by the Centre for Research on Energy and Clean Air (CREA) for Carbon Brief found that China’s CO2 emissions from fossil fuels and cement have plateaued for more than two years following a peak in March 2024. Ember found that on a 12-month moving average, coal generation has been stalling since then, following years of continuous expansion.

      In the second quarter of the year, CO2 emissions fell by 1% after China’s oil consumption plummeted 9% as the US-Iran war prevented the transport of oil cargoes from the Gulf through the Strait of Hormuz.

      The electrification of the transport sector, particularly electric trucks, was the biggest driver in displacing oil demand as the conflict in the Middle East accelerated the transition.

      A lesson in sequencing

      China’s bumpy transition offers a useful lesson for other countries at an earlier stage of their transition, said Xunpeng Shi, president of the Sydney-based International Society of Energy Transition Studies (ISETS), a global network of professionals that shares research and fosters collaborations.

      “Build quickly enough so that clean electricity can start taking over and prepare for the pressure on the fossil system before it arrives, because that is the part nobody has done easily,” he said.

      For countries that are heavily reliant on revenue from fossil fuel exports, a peak in Chinese fossil fuel use weakens the assumption of rising demand on which investments have long been made.

      “For them, the time to plan for that is now, while the revenues are still there,” he said.

      The post China’s industrial engine starts to break its fossil fuel habit appeared first on Climate Home News.

      China’s industrial engine starts to break its fossil fuel habit

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      Industry and NGOs lobby to weaken UN carbon credit rules in “coordinated” push

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      Carbon credit developers, corporate buyers and some leading conservation NGOs are challenging new proposed rules to stop UN carbon credits being wiped out by fire, drought or logging, in what critics have called a “coordinated lobbying campaign” to weaken the nascent market’s push for greater integrity.

      According to documents seen by Climate Home News – including a briefing given to government officials – companies, NGOs and the UN Environment Programme (UNEP) have contested the scientific basis for the move, arguing that stronger protection for carbon reductions could hike project costs and restrict the supply of credits to the market.

      The climate benefit of credits that claim to reduce or avoid greenhouse gas emissions by storing carbon is undone if that carbon is released back into the atmosphere – something known as reversal risk. To protect against such losses and preserve the credibility of the credits’ carbon-offsetting claims, projects are generally required to set aside a reserve of credits that cannot be sold, as a form of insurance.

      How these “buffer pools” are calculated has long been a source of contention, especially in forest conservation projects, which many experts say have historically underestimated the risk of carbon losses.

      In July, the technical UN panel tasked with drafting rules for the Article 6.4 mechanism, which underpins the credits that countries and companies can use to meet their climate goals, proposed a new system. It would require project developers to size these insurance pools of credits based on local risk values derived from new research published by a group of independent scientists.

      UK’s budget juggling trick with rainforest loan for bus-fare cap needs transparency

      Its supporters have hailed it as a more rigorous approach than current practice in the voluntary carbon market, which largely relies on expert guesswork and, in some cases, gives significant leeway for project developers to come up with their own data.

      “The decision on the reversal risk assessment tool will be crucial,” said Federica Dossi, an expert at Brussels-based advocacy group Carbon Market Watch. “It would bring a new paradigm for calculating the number of units forwarded to the buffer pool based on empirical data.”

      The technical panel is due to discuss the reversal risk tool and its application to a specific set of projects at a five-day meeting in Bonn this week. It is then expected to forward new recommendations to the mechanism’s regulator, the Supervisory Body, for a decision on whether to approve them at a meeting in early October.

      The rules are set to be applied initially only to clean cookstove projects, one of the market’s most popular and heavily criticised credit types. They could then be extended to other activities, including programmes to protect forests.

      Copy and paste?

      More than 30 organisations aired their views in lengthy public submissions to the Article 6.4 mechanism, responding to a call from the UN secretariat for external feedback.

      A Climate Home News review of those submissions found that there was significant overlap in their messages and, in several cases, sections of the text, or even entire submissions, were copied and pasted by different organisations. This points to a coordinated effort to flag concerns regarding the new rules.

      In one instance, tech giant Apple, a large buyer of nature-based carbon credits, warned against relying on one scientific model and called for rules that let project developers use a variety of risk mitigation tools, rather than surrendering buffer credits, to cover the risk of carbon losses.

      Apple’s submission is a lightly-edited version of a separate input presented by the Beyond Alliance, a coalition of corporate buyers and NGOs that promote market-based climate investments. In an apparent oversight in one paragraph, the Beyond Alliance’s name appears in Apple’s submission instead of the tech giant’s.

        The Beyond Alliance told Climate Home News that, after receiving input from its members, it shared its final submission, leaving them to decide if and how they wanted to use it. The coalition rejected any characterisation that its submission advocates for a weaker tool and only reflects business concerns.

        The Beyond Alliance added that its members received briefings by UNEP, which Climate Home News understands has played an important role in wider efforts to influence the development of the rules underpinning the UN carbon market.

        Three experts and a European Union diplomat told Climate Home News that the interventions of the UN agency overwhelmingly supported the views of those with a financial interest in carbon markets.

        UNEP’s head of mitigation Gabriel Labbate rejected this accusation. He told Climate Home News that the UN agency contributes technical inputs from a “politically-neutral, science-based perspective” and its positions are grounded in an assessment of environmental integrity and are not shaped by, or aligned with, the financial interests of any market participant. 

        UNEP, NGOs criticise scientific basis

        In mid-July, representatives from UNEP, Conservation International and The Nature Conservancy (TNC) briefed government officials from Canada, the UK, Germany, Costa Rica, Belgium, Nigeria and Peru, according to a webinar readout seen by Climate Home News.

        The online event was organised by the Forest & Climate Leaders Partnership (FCLP), an initiative that brings together 41 countries plus the EU.

        The speakers voiced strong criticism of the new proposed rules. A technical advisor to Conservation International, a US-based NGO that runs several large-scale carbon offsetting programmes, told participants the Article 6 panel’s approach was “based on bad science”. This, he said, is because it relies on a single model that he claimed is not appropriate to determine buffer pool contributions, according to a presentation seen by Climate Home News.

        During a high-level discussion led by UNEP’s Labbate, speakers said the application of measures to manage reversal risk on cookstove projects could “impose disproportionate costs and undermine the financial viability of these activities”, according to the readout.

        Burn company enumerator Teresia Wanjiru checks moisture on firewood at a client’s house using clean cookstoves in Kachoroba village of Kiambu county, Kenya, August 16, 2023. REUTERS/Monicah Mwangi

        Burn company enumerator Teresia Wanjiru checks moisture on firewood at a client’s house using clean cookstoves in Kachoroba village of Kiambu county, Kenya, August 16, 2023. REUTERS/Monicah Mwangi

        Cookstove programmes issue credits by calculating the greenhouse gas emissions prevented by burning less fuel – usually wood or charcoal – through the use of more efficient stoves. With the new reversal risk tool, these activities would be expected to guard against future carbon losses for the first time under the UN carbon market.

        But UNEP, as well as leading NGOs and carbon credit firms, have pushed back against the requirement, arguing this type of credit represents a “flow” of avoided emissions rather than a “stock” of stored carbon that can be released. Scientists reject that distinction, noting that the wood left unburned is still standing in a forest exposed to the same risks as any other.

        At the online briefing, speakers also raised concerns that the tighter approach would be replicated for nature-based carbon projects with a direct impact on the future of large-scale forest conservation credits. The Conservation International advisor called it a “bad precedent”.

        Both Conservation International and TNC run carbon credit programmes that aim to protect trees from being cut down. Labbate leads the UN-REDD programme, which supports countries developing forest protection initiatives including through carbon credits, and is co-chair of the expert panel advising the Integrity Council for the Voluntary Carbon Market (ICVCM).

        After the webinar, the organisers shared by email a series of “key messages” and draft submissions produced by the three organisations, which participants were invited to consider and adapt in their own inputs to the Article 6.4 consultation process.

        Getting the rules ‘right’

        In a statement to Climate Home News, Ghana, Paraguay and the UK – which are FCLP co-leads for its work on forest carbon credits – said members of the coalition welcomed expert views from a range of partners to help them understand the potential impact of Article 6.4 rules on the eligibility of forest carbon credits in international markets.

        They added that the FCLP does not have a common position on the rules and its members are free to choose whether to attend webinars and use any of the materials circulated.

        In a statement to Climate Home News, Conservation International said “getting these rules right is important to the environmental integrity of the carbon market, while ensuring all sectors have a place in it”. It added that the NGO does not dispute the validity of the scientific research underlying the proposed buffer pool, but recommends a broader approach including multiple models and datasets.

        A spokesperson for TNC said the organisation had helped clarify complex materials and their potential implications, while decisions on how to respond remained entirely with participating countries.

        ‘Inconvenient science’

        The scientific basis for the disputed reversal risk tool rests on two pieces of research. A peer-reviewed study, published in Nature in May and led by scientists at several US universities, modelled forest carbon-loss risk across the United States and found existing buffer pools there are undersized by an average factor of six.

        To extend that approach worldwide, the Article 6.4 panel also drew on a second, global analysis by the same research team, which has not yet completed peer review. That study used satellite images, weather records and computer modelling to estimate a 31-42% chance of forests worldwide losing stored carbon within 100 years, depending on the scenario.

        The panel picked one of these scenarios and turned its estimates into fixed risk percentages for individual countries, and in some cases provinces, which projects in those locations would need to apply.

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        Critics say the peer-reviewed portion of the research was calibrated on North American forests, and that applying the same approach to other regions relies on a global study that is still going through academic checks.

        But, for William Anderegg, professor of biological sciences at the University of Utah and one of the authors of that research, it is the best science currently available. He described it as “light-years better” than assumptions underlying the voluntary carbon market, where risk numbers are not generally based on independent evidence and tend to be incredibly low.

        Scientific research, including by Anderegg, has found that buffer pools in forestry projects in the voluntary carbon market are substantially smaller than they should be to adequately protect against future releases of carbon.

        “There really seems to be a fairly coordinated campaign to try to weaken the strength of these [Article 6.4] tools and their scientific underpinning,” he told Climate Home News. “It’s a little dispiriting to see folks attack science that’s inconvenient.”

        Regulators under pressure?

        An EU diplomat told Climate Home News that experts and negotiators working on the Article 6.4 mechanism have faced intense pressure from big carbon credit developers and large parts of the nature-based solutions community.

        “It is very clear that they are lobbying against strong rules, and they want to align the Paris Agreement mechanism with the standards of the voluntary carbon market,” the diplomat said. “They have influence, time and money, even more than some governments, so they can be very effective in their efforts.”

        Last year, the Article 6.4 Supervisory Body, the new market’s regulator, approved rules on the permanence of credits aiming to remove carbon from the atmosphere which critics said were watered down compared to the technical panel’s recommendations. This followed feedback from carbon market firms and conservation NGOs, which submitted dozens of critical views.

        EU carbon credits could supercharge world’s clean cooking push, France says

        Carbon Market Watch’s Dossi said decisions that strengthen environmental integrity are targeted in particular as they tend to reduce the number of credits that can be issued.

        Then, as now, those who opposed tighter rules argued that overly strict safeguards would make some projects too expensive to carry out, with a negative impact on local communities and the climate.

        But proponents argue that higher-integrity programmes will drive up market prices, ultimately benefiting everyone.

        “If rules ensuring better-quality credits make them somewhat more expensive than they are today, that’s an acceptable consequence, not a reason to weaken the rules, especially since these credits will be used to offset continued emissions,” said Dossi.

        Efforts to pull the rule-makers in different directions are expected to intensify in the coming weeks as a decision on the new credit protection system nears.

        “I really don’t know how this will turn out in the end,” one veteran carbon market expert said. “What I am sure about is that it will be quite a battle.”

        The post Industry and NGOs lobby to weaken UN carbon credit rules in “coordinated” push appeared first on Climate Home News.

        Industry and NGOs lobby to weaken UN carbon credit rules in “coordinated” push

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