Connect with us

Published

on

When flooding strikes, it can devastate vast areas, taking lives, homes and possessions with it.

Multiple factors affect the scale of the social and economic damage that flooding causes, such as climate change, land-use change and the flood protection measures in place.

In a new study, published in Science Advances, my colleagues and I attempt to disentangle the factors contributing to more than 1,700 floods in Europe over 1950-2020.

Our findings show that there has been an overall reduction in deaths and economic damage over this 70-year period – even though population and economic growth means the maximum value of possible losses has increased.

This is linked to the extent to which society has adapted to climate change.

Our study finds that – in most regions – flood impacts have been affected primarily by direct human actions, such as land-use change, vulnerability reduction and catchment alteration, rather than long-term changes to river levels or sea levels.

Other factors, including climate change and alterations to river catchments, had an important role in certain places, but were not a factor on a continent-wide scale.

What influences flood losses?

Dozens of floods occur in Europe every year, though the magnitude of the socioeconomic impacts they cause varies considerably from year to year.

Floods can happen in any country, though they are less common in north-eastern Europe, especially since climate change has reduced snow cover and, hence, reduced spring snowmelt. In the hot and mountainous south of Europe, flash floods are a major risk, causing most fatalities in Europe. In north-western Europe the risk of coastal flooding, increased by global sea level rise, is higher than in other parts of the continent.

Our study looks at 1,729 floods that took place across Europe over a 70 year-period, drawn from the Historical Analysis of Natural Hazards in Europe (HANZE) database. We estimate that this list covers the vast majority of all flood impacts in Europe since 1950.

Aerial view of a flooding in inner city Hitzacker, River Elbe, Lower Saxony, Germany.
Aerial view of a flooding in inner city Hitzacker, River Elbe, Lower Saxony, Germany. Credit: Cornelius Paas / Alamy Stock Photo

We find that, in absolute terms, direct economic damage from floods in Europe has increased considerably, from an estimated €37bn in the 1950s (at 2020 prices) to €92bn in the 2000s and €71bn in 2010s.

Yet, in relative terms, the annual losses from floods have fallen. Direct economic damage from floods fell to 0.04% of Europe’s gross domestic product (GDP) in the 2010s, down from 0.11% in the 1950s.

Meanwhile, the risk of dying in a flood has also declined more than six-fold since the 1950s.

Six long-term drivers

First, it is worth noting that each of the 1,729 events in our study were the result of a unique combination of natural and socioeconomic factors under various flood management regimes.

However, we can explore how trends in economic and social damages from floods across Europe have been influenced by different drivers. For this, we turn to the evolving science of attribution research.

Extreme weather attribution research covers a diverse set of qualitative and quantitative approaches to estimate the contribution of individual drivers – such as climate change or socioeconomic factors – to observed impacts. Most studies focus on attribution to climate change, but such approaches are often insufficient to explain the magnitude of flood losses.

Our study investigates six long-term drivers that could have explained the trends in flood impacts in Europe over a 70-year period. These are:

  • Long-term climate change
  • Human interventions in river catchments
  • Population and economic growth
  • Land-use change
  • Flood protection levels
  • Flood vulnerability

To do so, we use hydrological and socioeconomic models driven by observations of climate, economic and other trends.

In all cases, we evaluate the drivers against the climate and socioeconomic conditions of the year 1950 to capture how their importance might have changed over time.

The first driver we look at – and the one that is typically of most interest in attribution studies – is long-term changes to the climate. This includes changes in the probability of extreme river discharges, storm surges, wave heights and global sea level rise.

The study looks at both the fingerprint of human-caused climate change – the 1950-2020 period is when most of global warming has occurred – but also incorporates natural variations of the climate.

Here, we find climate change has mostly worsened flood impacts, especially for levels of economic damage.

However, there is strong variation in Europe. While climate change has led to more substantial flood impacts in north-west Europe, the inverse was true for several countries in southern Europe. This is largely due to an increase in the dryness of the climate.

Human factors

Next we look at human interventions in river catchments, such as reservoir construction and land-use change, which alter the movement and distribution of water across large areas.

Here, we find that these interventions had opposite effects.

Across Europe, land-use change contributed to larger flood impacts over the study period. This was largely due to a rapid increase in “soil sealing” – the covering of soil for housing, roads or other construction work.

However, the construction of large reservoirs – most of which were built after 1950 – has reduced flood volumes, helping to reduce flood impacts, particularly in central Europe.

Population growth has increased flood impacts in almost all countries (with the main exception being Germany because of population decline in the east of the country). In addition, economic growth means the maximum value of possible losses to floods – or “flood exposure” – has increased across the continent.

That said, when considering losses relative to the size of the economy or population, the change in spatial distribution of people becomes more important.

For example, there has been more development in floodplains than outside of them, which – when combined with structural factors, such as the shift from agriculture to industry and from industry to services – has contributed to an overall increase in flood impacts.

However, this did not occur in all countries and did not apply to fatalities, which narrowly reduced across Europe over the study period due to changes in population distribution.

Adaptation

The final two drivers investigated were related to how society has adapted to flood risks.

One method is improving structural flood protection through dykes and reservoirs. (In a 2024 study, we estimated that flood protection has improved in Europe since 1950, even if more for coastal than river floods.)

We also see this effect in this study, though it is not as pronounced. This is because we only look at floods that did occur – meaning that protection measures were not sufficient to prevent them.

Nonetheless, we find that better protection has reduced the extent and, therefore, the impact of floods in most European countries, except some in central and northern Europe.

Our final driver was vulnerability to floods, defined as the relative impact of flooding on population and assets at a given hydrological intensity.

This factor heavily depends on the level of preparedness and adaptation as well as the capacity to respond to a flood. For instance, small adaptations of buildings that prevent water from flowing into it could substantially reduce the share of the building value that is lost in the flood.

In the most recent decade, floods caused an estimated 74-75% fewer fatalities and smaller economic loss than if they happened in 1950 at the same level of exposure – thanks to lower vulnerability. This reduction was found across the continent – indicating that certain universal changes were responsible for this process.

Our study was not able to link this progress to individual measures, but obvious candidates are creation of early warning systems, more capable emergency services, improved disaster response and uptake of private precautionary measures by households and companies after previous experiences of flooding.

The figure below shows the contribution of the six drivers (from left to right) for three types of impacts: fatalities (top), population affected (middle) and economic losses (bottom) to all floods that have occurred in each country between 1950 and 2020.

The shading indicates whether the driver increased (red) or decreased (blue) impacts.

Attribution of contribution to impacts (in rows) of different drivers (A to F), by country, expressed as percent change, relative to the counterfactual scenario of no change in the individual driver since 1950.
Attribution of contribution to impacts (in rows) of different drivers (A to F), by country, expressed as percent change, relative to the counterfactual scenario of no change in the individual driver since 1950. Source: Paprotny, D et al. (2025)

Attribution of contribution to impacts (in rows) of different drivers (A to F), by country, expressed as percent change, relative to the counterfactual scenario of no change in the individual driver since 1950. Source: Paprotny, D et al. (2025)

Solutions reaching their limit?

Our findings indicate the crucial role that adaptation has had on containing growth in flood losses that could have been induced by a larger population and economy.

Still, this positive development should not be taken for granted. Our results show a considerable slowdown in the reduction of losses from better flood protection or lower levels of vulnerability in the most recent two decades. This could indicate that existing solutions are reaching their limits

However, we find that southern and eastern Europe still has higher vulnerability compared with western Europe – showing potential for further improvements in those regions.

Recent major floods, such as the 2021 event in western Europe, have raised questions about existing levels of preparedness, while highlighting the role of climate change in increasing the impacts of those events. 

Our study shows that adaptation works in Europe, but that greater efforts will be needed to ensure it continues to do so.

The post Guest post: How adaptation has cut flood deaths and losses in Europe appeared first on Carbon Brief.

Guest post: How adaptation has cut flood deaths and losses in Europe

Continue Reading

Climate Change

The 2026 budget test: Will Australia break free from fossil fuels?

Published

on

In 2026, the dangers of fossil fuel dependence have been laid bare like never before. The illegal invasion of Iran has brought pain and destruction to millions across the Middle East and triggered a global energy crisis impacting us all. Communities in the Pacific have been hit especially hard by rising fuel prices, and Australians have seen their cost-of-living woes deepen.

Such moments of crisis and upheaval can lead to positive transformation. But only when leaders act with courage and foresight.

There is no clearer statement of a government’s plans and priorities for the nation than its budget — how it plans to raise money, and what services, communities, and industries it will invest in.

As we count down the days to the 2026-27 Federal Budget, will the Albanese Government deliver a budget for our times? One that starts breaking the shackles of fossil fuels, accelerates the shift to clean energy, protects nature, and sees us work together with other countries towards a safer future for all? Or one that doubles down on coal and gas, locks in more climate chaos, and keeps us beholden to the whims of tyrants and billionaires.

Here’s what we think the moment demands, and what we’ll be looking out for when Treasurer Jim Chalmers steps up to the dispatch box on 12 May.

1. Stop fuelling the fire
2. Make big polluters pay
3. Support everyone to be part of the solution
4. Build the industries of the future
5. Build community resilience
6. Be a better neighbour
7. Protect nature

1. Stop fuelling the fire

Action Calls for a Transition Away From Fossil Fuels in Vanuatu. © Greenpeace
The community in Mele, Vanuatu sent a positive message ahead of the First Conference on Transitioning Away from Fossil Fuels. © Greenpeace

In mid-April, Pacific governments and civil society met to redouble their efforts towards a Fossil Fuel Free Pacific. Moving beyond coal, oil and gas is fundamental to limiting warming to 1.5°C — a survival line for vulnerable communities and ecosystems. And as our Head of Pacific, Shiva Gounden, explained, it is “also a path of liberation that frees us from expensive, extractive and polluting fossil fuel imports and uplifts our communities”.

Pacific countries are at the forefront of growing global momentum towards a just transition away from fossil fuels, and it is way past time for Australia to get with the program. It is no longer a question of whether fossil fuel extraction will end, but whether that end will be appropriately managed and see communities supported through the transition, or whether it will be chaotic and disruptive.

So will this budget support the transition away from fossil fuels, or will it continue to prop up coal and gas?

When it comes to sensible moves the government can make right now, one stands out as a genuine low hanging fruit. Mining companies get a full rebate of the excise (or tax) that the rest of us pay on diesel fuel. This lowers their operating costs and acts as a large, ongoing subsidy on fossil fuel production — to the tune of $11 billion a year!

Greenpeace has long called for coal and gas companies to be removed from this outdated scheme, and for the billions in savings to be used to support the clean energy transition and to assist communities with adapting to the impacts of climate change. Will we see the government finally make this long overdue change, or will it once again cave to the fossil fuel lobby?

2. Make big polluters pay

Activists Disrupt Major Gas Conference in Sydney. © Greenpeace
Greenpeace Australia Pacific activists disrupted the Australian Domestic Gas Outlook conference in Sydney with the message ‘Gas execs profit, we pay the price’. © Greenpeace

While our communities continue to suffer the escalating costs of climate-fuelled disasters, our Government continues to support a massive expansion of Australia’s export gas industry. Gas is a dangerous fossil fuel, with every tonne of Australian gas adding to the global heating that endangers us all.

Moreover, companies like Santos and Woodside pay very little tax for the privilege of digging up and selling Australians’ natural endowment of fossil gas. Remarkably, the Government currently raises more tax from beer than from the Petroleum Resource Rent Tax (PRRT) — the main tax on gas profits.

Momentum has been building to replace or supplement the PRRT with a 25% tax on gas exports. This could raise up to $17 billion a year — funds that, like savings from removing the diesel tax rebate for coal and gas companies, could be spent on supporting the clean energy transition and assisting communities with adapting to worsening fires, floods, heatwaves and other impacts of climate change.

As politicians arrive in Canberra for budget week, they will be confronted by billboards calling for a fair tax on gas exports. The push now has the support of dozens of organisations and a growing number of politicians. Let’s hope the Treasurer seizes this rare window for reform.

3. Support everyone to be part of the solution

As the price of petrol and diesel rises, electric vehicles (EVs) are helping people cut fuel use and save money. However, while EV sales have jumped since the invasion of Iran sent fuel prices rising, they still only make up a fraction of total new car sales. This budget should help more Australians switch to electric vehicles and, even more importantly, enable more Australians to get around by bike, on foot, and on public transport. This means maintaining the EV discount, investing in public and active transport, and removing tax breaks for fuel-hungry utes and vans.

Millions of Australians already enjoy the cost-saving benefits of rooftop solar, batteries, and getting off gas. This budget should enable more households, and in particular those on lower incomes, to access these benefits. This means maintaining the Cheaper Home Batteries Program, and building on the Household Energy Upgrades Fund.

4. Build the industries of the future

Protest of Woodside and Drill Rig Valaris at Scarborough Gas Field in Western Australia. © Greenpeace / Jimmy Emms
Crew aboard Greenpeace Australia Pacific’s campaigning vessel the Oceania conducted a peaceful banner protest at the site of the Valaris DPS-1, the drill rig commissioned to build Woodside’s destructive Burrup Hub. © Greenpeace / Jimmy Emms

If we’re to transition away from fossil fuels, we need to be building the clean industries of the future.

No state is more pivotal to Australia’s energy and industrial transformation than Western Australia. The state has unrivaled potential for renewable energy development and for replacing fossil fuel exports with clean exports like green iron. Such industries offer Western Australia the promise of a vibrant economic future, and for Australia to play an outsized positive role in the world’s efforts to reduce emissions.

However, realising this potential will require focussed support from the Federal Government. Among other measures, Greenpeace has recommended establishing the Australasian Green Iron Corporation as a joint venture between the Australian and Western Australian governments, a key trading partner, a major iron ore miner and steel makers. This would unite these central players around the complex task of building a large-scale green iron industry, and unleash Western Australia’s potential as a green industrial powerhouse.

5. Build community resilience

Believe it or not, our Government continues to spend far more on subsidising fossil fuel production — and on clearing up after climate-fuelled disasters — than it does on helping communities and industries reduce disaster costs through practical, proven methods for building their resilience.

Last year, the Government estimated that the cost of recovery from disasters like the devastating 2022 east coast floods on 2019-20 fires will rise to $13.5 billion. For contrast, the Government’s Disaster Ready Fund – the main national source of funding for disaster resilience – invests just $200 million a year in grants to support disaster preparedness and resilience building. This is despite the Government’s own National Emergency Management Agency (NEMA) estimating that for every dollar spent on disaster risk reduction, there is a $9.60 return on investment.

By redirecting funds currently spent on subsidising fossil fuel production, the Government can both stop incentivising climate destruction in the first place, and ensure that Australian communities and industries are better protected from worsening climate extremes.

No communities have more to lose from climate damage, or carry more knowledge of practical solutions, than Aboriginal and Torres Strait Islander peoples. The budget should include a dedicated First Nations climate adaptation fund, ensuring First Nations communities can develop solutions on their own terms, and access the support they need with adapting to extreme heat, coastal erosion and other escalating challenges.

6. Be a better neighbour

The global response to climate change depends on the adequate flow of support from developed economies like Australia to lower income nations with shifting to clean energy, adapting to the impacts of climate change, and addressing loss and damage.

Such support is vital to building trust and cooperation, reducing global emissions, and supporting regional and global security by enabling countries to transition away from fossil fuels and build greater resilience.

Despite its central leadership role in this year’s global climate negotiations, our Government is yet to announce its contribution to international climate finance for 2025-2030. Greenpeace recommends a commitment of $11 billion for this five year period, which is aligned with the global goal under the Paris Agreement to triple international climate finance from current levels.
This new commitment should include additional funding to address loss and damage from climate change and a substantial contribution to the Pacific Resilience Facility, ensuring support is accessible to countries and communities that need it most. It should also see Australia get firmly behind the vision of a Fossil Fuel Free Pacific.

7. Protect nature

Rainforest in Tasmania. © Markus Mauthe / Greenpeace
Rainforest of north west Tasmania in the Takayna (Tarkine) region. © Markus Mauthe / Greenpeace

There is no safe planet without protection of the ecosystems and biodiversity that sustain us and regulate our climate.

Last year the Parliament passed important and long overdue reforms to our national environment laws to ensure better protection for our forests and other critical ecosystems. However, the Government will need to provide sufficient funding to ensure the effective implementation of these reforms.

Greenpeace has recommended $500 million over four years to establish the National Environment Agency — the body responsible for enforcing and monitoring the new laws — and a further $50 million to Environment Information Australia for providing critical information and tools.

Further resourcing will also be required to fulfil the crucial goal of fully protecting 30% of Australian land and seas by 2030. This should include $1 billion towards ending deforestation by enabling farmers and loggers to retool away from destructive practices, $2 billion a year for restoring degraded lands, $5 billion for purchasing and creating new protected areas, and $200 million for expanding domestic and international marine protected areas.

Conclusion

This is not the first time that conflict overseas has triggered an energy crisis, or that a budget has been preceded by a summer of extreme weather disasters, highlighting the urgent need to phase out fossil fuels. What’s different in 2026 is the availability of solutions. Renewable energy is now cheaper and more accessible than ever before. Global momentum is firmly behind the transition away from fossil fuels. The Albanese Government, with its overwhelming majority, has the chance to set our nation up for the future, or keep us stranded in the past. Let’s hope it makes some smart choices.

The 2026 budget test: Will Australia break free from fossil fuels?

Continue Reading

Climate Change

What fossil fuels really cost us in a world at war

Published

on

Anne Jellema is Executive Director of 350.org.

The war on Iran and Lebanon is a deeply unjust and devastating conflict, killing civilians at home, destroying lives, and at the same time sending shockwaves through the global economy. We, at 350.org, have calculated, drawing on price forecasts from the International Monetary Fund (IMF) and Goldman Sachs, just how much that volatility is costing us. 

Even under the IMF’s baseline scenario – a de facto “best case” scenario with a near-term end to the war and related supply chain disruptions – oil and gas price spikes are projected to cost households and businesses globally more than $600 billion by the end of the year. Under the IMF’s “adverse scenario”, with prolonged conflict and sustained price pressures, we estimate those additional costs could exceed $1 trillion, even after accounting for reduced demand.

Which is why we urgently need a power shift. Governments are under growing pressure to respond to rising fuel and food costs and deepening energy poverty. And it’s becoming clearer to both voters and elected officials that fossil dependence is not only expensive and risky, but unnecessary. 

People who can are voting with their wallets: sales of solar panels and electric vehicles are increasing sharply in many countries. But the working people who have nothing to spare, ironically, are the ones stuck with using oil and gas that is either exorbitantly expensive or simply impossible to get.

Drain on households and economies

In India, street food vendors can’t get cooking gas and in the Philippines, fishermen can’t afford to take their boats to sea. A quarter of British people say that rising energy tariffs will leave them completely unable to pay their bills. This is the moment for a global push to bring abundant and affordable clean energy to all.

In April, we released Out of Pocket, our new research report on how fossil fuels are draining households and economies. We were surprised by the scale of what we found. For decades, governments have reassured people that energy price spikes are unfortunate but unavoidable – the result of distant conflicts, market forces or geopolitical shocks beyond anyone’s control. But the numbers tell a different story. 

    What we are living through today is not an energy crisis. It is a fossil fuel crisis. In just the first 50 days of the Middle East conflict, soaring oil and gas prices have siphoned an estimated $158 billion–$166 billion from households and businesses worldwide. That is money extracted directly from people’s pockets and transferred, almost instantly, into fossil fuel company balance sheets. And this figure only captures the immediate impact of price spikes, not the permanent economic drain of fossil dependence. Fossil fuels don’t just cost us once, they cost us over and over again.

    First, through our bills. Every time there is a war, an embargo or a supply disruption, fossil fuel prices surge. For ordinary people, this means higher costs for energy, transport and food. Many Global South countries have little or no fiscal space to buffer the shock; instead, workers and families pay the price.

    Second, through our taxes. Governments around the world continue to pour vast sums of public money into fossil fuel subsidies. These are often justified as a way to protect the most vulnerable at the petrol pump or in their homes. But in reality, the benefits are overwhelmingly captured by wealthier households and corporations. The poorest 20% receive just a fraction of this support, while public finances are drained.

    Third, through climate impacts. New research across more than 24,000 global locations gives a granular account of the true costs of extreme heat, sea level rise and falling agricultural yields. Using this data to update IMF modelling of the social cost of carbon, we found that fossil fuel impacts on health and livelihoods amount to over $9 trillion a year. This is the biggest subsidy of all, because these massive and mounting costs are not charged to Big Oil – they are paid for by governments and households, with the poorest shouldering the lion’s share. 

    Massive transfer of wealth to fossil fuel industry

    Adding up direct subsidies, tax breaks and the unpaid bill for climate damages, the total transfer of wealth from the public to the fossil fuel industry amounts to $12 trillion even in a “normal” year without a global oil shock. That’s more than 50% higher than the IMF has previously estimated, and equivalent to a staggering $23 million a minute.

    The fossil fuel industry has become extraordinarily adept at profiting from instability. When conflict drives up prices, companies do not lose, they gain. In the current crisis, oil producers and commodity traders are on track to secure tens of billions of dollars in additional windfall profits, even as households face rising bills and governments struggle to manage the fallout.

    Fossil fuel crisis offers chance to speed up energy transition, ministers say

    This growing disconnect is impossible to ignore. Investors are advised to buy into fossil fuel firms precisely because of their ability to generate profits in times of crisis. Meanwhile, ordinary people are told to tighten their belts.

    In 2026, unlike during the oil shocks of the 1970s, clean energy is no longer a distant alternative. Now, even more than when gas prices spiked due to Russia’s invasion of Ukraine in 2022, renewables are often the cheapest option available. Solar and wind can be deployed quickly, at scale, and without the volatility that defines fossil fuel markets.

    How to transition from dirty to clean energy

    The solutions are clear. Governments must implement permanent windfall taxes on fossil fuel companies to ensure that extraordinary profits generated during crises are redirected to support households. These revenues can be used to reduce energy bills, invest in public services, and accelerate the rollout of clean energy.

    Second, we must shift subsidies away from fossil fuels and towards renewable solutions, particularly those that can be deployed quickly and equitably, such as rooftop and community solar. This is not just about cutting emissions. It is about building a more stable, fair and resilient energy system.

    Finally, we need binding plans to phase out fossil fuels altogether, replacing them with homegrown renewable energy that can shield economies from future shocks. Because what the current crisis has made clear is this: as long as we remain dependent on fossil fuels, we remain vulnerable – to conflict, to price volatility and to the escalating impacts of climate change.

    The true price of fossil fuels is no longer hidden. It is visible in rising bills, strained public finances and communities pushed to the brink. And it is being paid, every day, by ordinary people around the world.

    It’s time for the great power shift

    Full details on the methodology used for this report are available here.

    The Great Power Shift is a new campaign by 350.org global campaign to pressure governments to bring down energy bills for good by ending fossil fuel dependence and investing in clean, affordable energy for all

    Logo of 350.org campaign on “The Great Power Shift”

    Logo of 350.org campaign on “The Great Power Shift”

    The post What fossil fuels really cost us in a world at war appeared first on Climate Home News.

    What fossil fuels really cost us in a world at war

    Continue Reading

    Climate Change

    Traditional models still ‘outperform AI’ for extreme weather forecasts

    Published

    on

    Computer models that use artificial intelligence (AI) cannot forecast record-breaking weather as well as traditional climate models, according to a new study.

    It is well established that AI climate models have surpassed traditional, physics-based climate models for some aspects of weather forecasting.

    However, new research published in Science Advances finds that AI models still “underperform” in forecasting record-breaking extreme weather events.

    The authors tested how well both AI and traditional weather models could simulate thousands of record-breaking hot, cold and windy events that were recorded in 2018 and 2020.

    They find that AI models underestimate both the frequency and intensity of record-breaking events.

    A study author tells Carbon Brief that the analysis is a “warning shot” against replacing traditional models with AI models for weather forecasting “too quickly”.

    AI weather forecasts

    Extreme weather events, such as floods, heatwaves and storms, drive hundreds of billions of dollars in damages every year through the destruction of cropland, impacts on infrastructure and the loss of human life.

    Many governments have developed early warning systems to prepare the general public and mobilise disaster response teams for imminent extreme weather events. These systems have been shown to minimise damages and save lives.

    For decades, scientists have used numerical weather prediction models to simulate the weather days, or weeks, in advance.

    These models rely on a series of complex equations that reproduce processes in the atmosphere and ocean. The equations are rooted in fundamental laws of physics, based on decades of research by climate scientists. As a result, these models are referred to as “physics-based” models.

    However, AI-based climate models are gaining popularity as an alternative for weather forecasting.

    Instead of using physics, these models use a statistical approach. Scientists present AI models with a large batch of historical weather data, known as training data, which teaches the model to recognise patterns and make predictions.

    To produce a new forecast, the AI model draws on this bank of knowledge and follows the patterns that it knows.

    There are many advantages to AI weather forecasts. For example, they use less computing power than physics-based models, because they do not have to run thousands of mathematical equations.

    Furthermore, many AI models have been found to perform better than traditional physics-based models at weather forecasts.

    However, these models also have drawbacks.

    Study author Prof Sebastian Engelke, a professor at the research institute for statistics and information science at the University of Geneva, tells Carbon Brief that AI models “depend strongly on the training data” and are “relatively constrained to the range of this dataset”.

    In other words, AI models struggle to simulate brand new weather patterns, instead tending forecast events of a similar strength to those seen before. As a result, it is unclear whether AI models can simulate unprecedented, record-breaking extreme events that, by definition, have never been seen before.

    Record-breaking extremes

    Extreme weather events are becoming more intense and frequent as the climate warms. Record-shattering extremes – those that break existing records by large margins – are also becoming more regular.

    For example, during a 2021 heatwave in north-western US and Canada, local temperature records were broken by up to 5C. According to one study, the heatwave would have been “impossible” without human-caused climate change.

    The new study explores how accurately AI and physics-based models can forecast such record-breaking extremes.

    First, the authors identified every heat, cold and wind event in 2018 and 2020 that broke a record previously set between 1979 and 2017. (They chose these years due to data availability.) The authors use ERA5 reanalysis data to identify these records.

    This produced a large sample size of record-breaking events. For the year 2020, the authors identified around 160,000 heat, 33,000 cold and 53,000 wind records, spread across different seasons and world regions.

    For their traditional, physics-based model, the authors selected the High RESolution forecast model from the Integrated Forecasting System of the European Centre for Medium-­Range Weather Forecasts. This is “widely considered as the leading physics-­based numerical weather prediction model”, according to the paper.

    They also selected three “leading” AI weather models – the GraphCast model from Google Deepmind, Pangu-­Weather developed by Huawei Cloud and the Fuxi model, developed by a team from Shanghai.

    The authors then assessed how accurately each model could forecast the extremes observed in the year 2020.

    Dr Zhongwei Zhang is the lead author on the study and a researcher at Karlsruhe Institute of Technology. He tells Carbon Brief that many AI weather forecast models were built for “general weather conditions”, as they use all historical weather data to train the models. Meanwhile, forecasting extremes is considered a “secondary task” by the models.

    The authors explored a range of different “lead times” – in other words, how far into the future the model is forecasting. For example, a lead time of two days could mean the model uses the weather conditions at midnight on 1 January to simulate weather conditions at midnight on 3 January.

    The plot below shows how accurately the models forecasted all extreme events (left) and heat extremes (right) under different lead times. This is measured using “root mean square error” – a metric of how accurate a model is, where a lower value indicates lower error and higher accuracy.

    The chart on the left shows how two of the AI models (blue and green) performed better than the physics-based model (black) when forecasting all weather across the year 2020.

    However, the chart on the right illustrates how the physics-based model (black) performed better than all three AI models (blue, red and green) when it came to forecasting heat extremes.

    Accuracy of the AI models
    Accuracy of the AI models (blue, red and green) and the physics-based model (black) at forecasting all weather over 2020 (left) and heat extremes (right) over a range of lead times. This is measured using “root mean square error” (RMSE) – a metric of how accurate a model is, where a lower value indicates lower error and higher accuracy. Source: Zhang et al (2026).

    The authors note that the performance gap between AI and physics-based models is widest for lower lead times, indicating that AI models have greater difficulty making predictions in the near future.

    They find similar results for cold and wind records.

    In addition, the authors find that AI models generally “underpredict” temperature during heat records and “overpredict” during cold records.

    The study finds that the larger the margin that the record is broken by, the less well the AI model predicts the intensity of the event.

    ‘Warning shot’

    Study author Prof Erich Fischer is a climate scientist at ETH Zurich and a Carbon Brief contributing editor. He tells Carbon Brief that the result is “not unexpected”.

    He adds that the analysis is a “warning shot” against replacing traditional models with AI models for weather forecasting “too quickly”.

    The analysis, he continues, is a “warning shot” against replacing traditional models with AI models for weather forecasting “too quickly”.

    AI models are likely to continue to improve, but scientists should “not yet” fully replace traditional forecasting models with AI ones, according to Fischer.

    He explains that accurate forecasts are “most needed” in the runup to potential record-breaking extremes, because they are the trigger for early warning systems that help minimise damages caused by extreme weather.

    Leonardo Olivetti is a PhD student at Uppsala University, who has published work on AI weather forecasting and was not involved in the study.

    He tells Carbon Brief that “many other studies” have identified issues with using AI models for “extremes”, but this paper is novel for its specific focus on extremes.

    Olivetti notes that AI models are already used alongside physics-based models at “some of the major weather forecasting centres around the world”. However, the study results suggest “caution against relying too heavily on these [AI] models”, he says.

    Prof Martin Schultz, a professor in computational earth system science at the University of Cologne who was not involved in the study, tells Carbon Brief that the results of the analysis are “very interesting, but not too surprising”.

    He adds that the study “justifies the continued use of classical numerical weather models in operational forecasts, in spite of their tremendous computational costs”.

    Advances in forecasting

    The field of AI weather forecasting is evolving rapidly.

    Olivetti notes that the three AI models tested in the study are an “older generation” of AI models. In the last two years, newer “probabilistic” forecast models have emerged that “claim to better capture extremes”, he explains.

    The three AI models used in the analysis are “deterministic”, meaning that they only simulate one possible future outcome.

    In contrast, study author Engelke tells Carbon Brief that probabilistic models “create several possible future states of the weather” and are therefore more likely to capture record-breaking extremes.

    Engelke says it is “important” to evaluate the newer generation of models for their ability to forecast weather extremes.

    He adds that this paper has set out a “protocol” for testing the ability of AI models to predict unprecedented extreme events, which he hopes other researchers will go on to use.

    The study says that another “promising direction” for future research is to develop models that combine aspects of traditional, physics-based weather forecasts with AI models.

    Engelke says this approach would be “best of both worlds”, as it would combine the ability of physics-based models to simulate record-breaking weather with the computational efficiency of AI models.

    Dr Kyle Hilburn, a research scientist at Colorado State University, notes that the study does not address extreme rainfall, which he says “presents challenges for both modelling and observing”. This, he says, is an “important” area for future research.

    The post Traditional models still ‘outperform AI’ for extreme weather forecasts appeared first on Carbon Brief.

    Traditional models still ‘outperform AI’ for extreme weather forecasts

    Continue Reading

    Trending

    Copyright © 2022 BreakingClimateChange.com