#climate data analysis

[techtoio]

How Big Data Analytics is Changing Scientific Discoveries

Introduction

In the contemporary world of the prevailing sciences and technologies, big data analytics becomes a powerful agent in such a way that scientific discoveries are being orchestrated. At Techtovio, we explore this renewed approach to reshaping research methodologies for better data interpretation and new insights into its hastening process. Read to continue

[jcmarchi]

GridCARE Emerges from Stealth with $13.5M to Solve AI’s Power Crisis with Generative Grid Intelligence

New Post has been published on https://thedigitalinsider.com/gridcare-emerges-from-stealth-with-13-5m-to-solve-ais-power-crisis-with-generative-grid-intelligence/

GridCARE Emerges from Stealth with $13.5M to Solve AI’s Power Crisis with Generative Grid Intelligence

GridCARE, a pioneering grid intelligence company, has officially emerged from stealth with a $13.5 million seed round, aiming to solve one of artificial intelligence’s most pressing bottlenecks: access to reliable power. The oversubscribed round was led by Xora, a deep tech venture firm backed by Temasek, with participation from a coalition of climate, AI, and infrastructure-focused investors.

The timing couldn’t be more urgent. The global AI market is projected to reach $757.6 billion by 2025 and grow to $3.68 trillion by 2034, according to Precedence Research. This explosive trajectory is placing unprecedented strain on the world’s power grids. The International Energy Agency (IEA) forecasts that electricity demand from data centers will more than double by 2030, with AI leading the charge. The U.S. alone is expected to see data centers account for nearly half of all new electricity demand growth, soon surpassing the energy use of entire heavy industries like steel, cement, and chemicals.

“Power is the new kingmaker in the AI arms race,” said Amit Narayan, CEO and founder of GridCARE. “Companies that secure reliable energy fastest will dominate the next generation of AI. GridCARE gives our partners that critical speed advantage.”

AI-Powered Grid Analysis to Accelerate Data Center Buildouts

Rather than waiting five to seven years for new substations and interconnections, GridCARE enables developers to bring AI infrastructure online in just 6–12 months. The company’s platform uses Generative AI and grid physics modeling to pinpoint underutilized electricity capacity across thousands of utility networks.

This “time-to-power” optimization allows developers to deploy GPUs and CPUs faster—essential in a competitive landscape where the AI model arms race is defined not just by the best algorithms, but by who can run them at scale first.

GridCARE acts as a bridge between utility companies and hyperscalers, simplifying complex, fragmented processes around grid access. Developers can offload the burden of power acquisition while utilities gain new revenue opportunities and better utilization of existing assets.

“GridCARE uncovers previously invisible grid capacity,” said Peter Freed, former Director of Energy Strategy at Meta and now a partner at New Horizon Group. “It opens a new fast track to power, enabling power-first AI data center development.”

From Stanford to the Smart Grid Frontier

GridCARE’s team is steeped in experience at the intersection of energy, AI, and sustainability. CEO Amit Narayan holds a PhD from UC Berkeley and previously founded AutoGrid, a climate-AI company acquired by Schneider Electric. He began applying chip-level signal optimization techniques to the electric grid over a decade ago while collaborating with Stanford’s Precourt Energy Institute.

Co-founders include:

Ram Rajagopal, Stanford professor and AI-for-energy systems expert

Liang Min, Director at Stanford’s Bits & Watts initiative

Arun Majumdar, Founding Dean of Stanford’s Doerr School of Sustainability and former VP of Energy at Google

Their collective mission: to unlock strategic flexibility from the grid without building new fossil-fuel infrastructure.

Utilities Embrace GridCARE for Smarter Infrastructure Planning

GridCARE isn’t just popular with developers—it’s quickly gaining traction among utilities like Portland General Electric (PGE) and Pacific Gas & Electric (PG&E).

“The rise of AI presents the biggest new electricity demand surge we’ve seen in decades,” said Larry Bekkedahl, SVP at PGE. “Collaborating with GridCARE enables faster, more confident infrastructure decisions.”

PG&E’s EVP Jason Glickman echoed this sentiment: “Smarter use of the infrastructure we already have is one of the most promising solutions to AI’s energy demands. GridCARE helps us unlock that potential.”

GridCARE also promotes a forward-looking concept known as Power Caching—a localized energy strategy akin to edge computing. Just as edge networks bring frequently accessed data closer to users to reduce latency, power caching co-locates energy generation near AI data centers to reduce grid stress and transmission losses.

By supporting localized generation at the site of consumption, Power Caching improves resilience and eliminates long-distance power congestion—an increasingly common issue in gigawatt-scale AI clusters.

Strategic Backing and Vision for Scale

GridCARE’s backers include:

Breakthrough Energy (founded by Bill Gates)

Sherpalo Ventures

WovenEarth

Clearvision

Clocktower Ventures

AI and energy visionaries like Tom Steyer, Ram Shriram, Balaji Prabhakar, and Gokul Rajaram

Their involvement reflects growing recognition that solving AI’s power crisis will define the next decade of innovation.

“GridCARE has found a solution to AI’s most limiting constraint: energy,” said Phil Inagaki, CIO of Xora. “Their generative AI platform has the potential to reshape how we think about grid access and scale.”

Powering the AI Revolution Starts with Reimagining the Grid

As generative AI reshapes everything from search engines to scientific discovery, the race to scale these models hinges not just on algorithms, but on electricity. GridCARE is stepping in where others are stuck—transforming how power is sourced, modeled, and delivered for the AI age.

With deep tech roots, a founding team shaped by Stanford’s sustainability mission, and a platform that turns gigawatt-scale grid complexity into actionable opportunity, GridCARE isn’t just accelerating infrastructure—it’s laying the foundation for AI’s next leap forward.

[thesakinat]

Data Journey

Hi guys,

My name is Sakinat. And I will be documenting my data journey here. I will be analysing the amount of CO₂ and Sulphur emissions by country, using datasets from gapminder. I will also be examining the life expectancy and daily income of individuals from these countries and see the relationships between CO₂ emissions and life expectancy of individuals.

Looking forward to sharing this experience here as well as getting feedback from you all.

Ciao.

[martingarry-195]

How GIS Can Predict and Mitigate the Effects of Rising Sea Levels?

Rising sea levels pose a serious threat to coastal communities, ecosystems, and infrastructure worldwide. Geographic Information Systems (GIS) provide a powerful way to analyze, predict, and mitigate these impacts using real-time spatial data and advanced mapping techniques.

Understanding the Threat: What GIS Reveals About Rising Waters

GIS allows scientists and policymakers to visualize past and present water levels to predict future risks. By analyzing historical water level data—such as from 2001 and 2022—GIS can create accurate models to identify areas at high risk of flooding. This helps in forecasting potential damage and preparing preventive measures.

Using GIS for Risk Assessment and Mitigation

Mapping Vulnerable Zones GIS overlays different datasets, such as elevation models, climate data, and urban development, to pinpoint the most vulnerable regions. This helps authorities focus on high-risk coastal areas that need urgent intervention.

Proposing Natural Solutions One effective mitigation strategy is mangrove restoration. Mangroves act as natural barriers, reducing coastal erosion and absorbing excess water during storms. By using GIS tools to map potential mangrove plantation sites, we can strategically enhance these natural defenses.

Urban Planning and Infrastructure Resilience City planners can use GIS simulations to design flood-resistant infrastructure, such as elevated roads, drainage systems, and protective sea walls. Identifying evacuation routes and emergency shelters also becomes more efficient through GIS mapping.

How GIS Tools Help in Real-Time Decision Making

Platforms with interactive mapping capabilities enable researchers and policymakers to update their models as new data becomes available. For instance, some GIS platforms allow users to upload historical water level data, create proposed mitigation zones, and analyze changes over time—all within an intuitive mapping interface.

If you're working on coastal resilience planning, exploring GIS-based platforms can help visualize and implement effective mitigation strategies. Platforms like MAPOG allow users to overlay water level data, draw mitigation zones with “Add polygon” tool, and create interactive maps that aid in decision-making and see how mapping can be a game-changer in combating rising sea levels.

Final Thoughts

Rising sea levels require proactive solutions, and GIS plays a crucial role in understanding and mitigating this challenge. From data-driven predictions to ecosystem-based solutions, GIS empowers decision-makers with the insights they need to protect vulnerable communities.

How do you think GIS can improve coastal resilience in your region? Let us know in the comments!

[farmerstrend]

Hass Avocado Production in Kenya: A Comprehensive SWOT Analysis for 2025

“Explore the comprehensive SWOT analysis of Hass Avocado Production in Kenya, covering strengths, weaknesses, opportunities, and threats. Learn about Kenya’s avocado farming trends, challenges, and strategies for 2025 to boost profitability and sustainability.” As of 2025, Hass avocado farming in Kenya has solidified its position as one of the most lucrative agricultural ventures in the country.…

[wealthwise93]

How World Events Influence Stocks: A Guide for Investors

How World Events Influence Stocks. Read more -> www.wealth-wise.blog World events, Stocks, Stock market, Economic calendar, Financial portals, News sources, Investment guide, Global happenings, Interest rate decisions, Inflation data, Corporate earnings

To understand how world events impact specific stocks, there are various approaches and tools that can help you better grasp the connections between global happenings and stock prices: 1. News Sources and Financial Portals Current news about politics, economics, and natural disasters often have immediate effects on financial markets. Here are some platforms that keep you informed about such…

[movingtothefarm]

"China installed more solar power in one year than the US has installed in its entire history. It's just a really insane rate of change at the moment," said Neil Grant from Climate Analytics. "China has been breaking records every year for wind and solar deployment. "The pace of acceleration, particularly last year, did catch quite a lot of people by surprise and the signs are that China is on track to beat that again this year," Grant told the ABC.

The rise of solar power and China's staggering EV growth may have pushed global emissions into decline - 20 Sep 2024

As we go about our daily lives, we often miss the bigger picture as the world changes around us.

Bloomberg NEF's head of Australian research, Leonard Quong says people often struggle to understand the magnitude of the current transition.

"The simplest way we can put it is that global energy systems are facing the biggest, most rapid change since the Industrial Revolution and it's happening right now, Quong said.

[familythings]

How AI is Revolutionizing Crime Investigation

The British police are really getting into the awesome possibilities of artificial intelligence (AI) to crack some of the country’s toughest and oldest cases. According to cool reports from British media, the Avon and Somerset Police are testing out some cutting-edge tech that digs up useful info that might’ve been missed in traditional investigations. This nifty AI gadget, called Soze and…

[cacmsinsitute]

Data Analytics to Combat Climate Change: Innovations in Environmental Sustainability

Climate change is one of the most pressing issues of our day, endangering ecosystems, economies, and livelihoods around the world. Addressing this complicated challenge necessitates innovative solutions, and data analytics is emerging as a valuable weapon in the battle against climate change. Researchers, politicians, and corporations are creating techniques to reduce environmental impact, adapt to changing conditions, and promote sustainability by leveraging massive volumes of data. This article delves into the unique uses of data analytics in combating climate change and achieving environmental sustainability.

Monitoring and predicting environmental trends:

Data analytics allows for the collecting, analysis, and interpretation of large datasets from a variety of sources, such as satellite imaging, weather stations, and sensors. Researchers can use complex algorithms and machine learning approaches to monitor environmental trends in real time, such as deforestation rates, sea level rise, and air quality. These insights aid in identifying places most sensitive to climate change and predicting future environmental difficulties, allowing for preventive interventions and resource allocation.

Optimal Renewable Energy Production and Distribution:

Renewable energy sources such as solar, wind, and hydroelectric power are critical to decreasing greenhouse gas emissions and combating climate change. Data analytics is critical for optimizing the generation and distribution of renewable energy. By analyzing weather trends, energy consumption patterns, and infrastructure data, energy suppliers may estimate energy demand, optimize power generation, and increase grid efficiency. Furthermore, machine learning algorithms can optimize the location of renewable energy installations to maximize output and cost-effectiveness.

Improving Climate Resilience and Adaptation:

Climate change is already affecting communities all around the world, resulting in more frequent and severe weather events, rising temperatures, and shifting precipitation patterns. Data analytics can improve climate resilience and adaptation by identifying sensitive areas, assessing risk factors, and devising tailored mitigation methods. By analyzing historical climatic data, socioeconomic indicators, and infrastructure vulnerabilities, policymakers may prioritize investments in resilient infrastructure, disaster preparedness, and community resilience programmes.

Enhancing Sustainable Agriculture and Land Management:

Agriculture is both a major source of greenhouse gas emissions and vulnerable to the effects of climate change. Data analytics can provide significant insights into sustainable farming methods and land management plans. Farmers may improve productivity, reduce environmental impact, and optimize resource use by analyzing soil health, weather patterns, crop yields, and market trends. Advanced analytics can also help discover opportunities for reforestation, land restoration, and biodiversity conservation, hence boosting ecosystem resilience and carbon sequestration.

Empowering Citizenship and Environmental Advocacy:

Data analytics enables individuals and communities to participate in environmental advocacy and climate action efforts. Citizen science programmes, mobile apps, and internet platforms enable citizens to collect environmental data, monitor local ecosystems, and participate in community-based research projects. Data analytics encourages cooperation, knowledge sharing, and collective action by democratizing access to environmental data and technologies, resulting in positive grassroots change.

Conclusion:

Data analytics has significant potential in combating climate change and promoting environmental sustainability. We can use data to monitor environmental trends, optimize renewable energy generation, increase climate resilience, improve agricultural practices, and empower communities to take action. However, realizing this promise necessitates collaboration across disciplines, sectors, and countries, as well as a dedication to ethical and transparent data practices. With sustained innovation and investment, data analytics can play a critical role in ensuring a more sustainable and resilient future for future generations.

Are you prepared to make a difference in the fight against climate change? Join CACMS Institute for a thorough data analytics training programme in Amritsar. Our hands-on practical training and flexible schedules ensure that you get the skills required to innovate in environmental sustainability. For more information, contact us today at +918288040281 or visit the link below

[reasonsforhope]

"China’s carbon emissions have flatlined over the past six months and there’s now an opportunity for substantial declines over the next decade, analysts say.

The rapid growth in clean energy generation has been sufficient to offset a recent surge in power demand caused by higher air conditioning use amid late-summer heatwaves, and the government’s manufacturing push, according to an analysis by Lauri Myllyvirta of the Centre for Research on Energy and Clean Air (CREA).

China’s carbon emissions fell by 1% in the second quarter of 2024 and were flat in the third quarter, providing another indication that emissions may have already peaked.

This is largely because solar power output was up 44% in the three months to end-September, compared to a year before, while wind power generation grew 24%. In the first nine months of 2024, China installed 161GW of new solar capacity and 39GW of wind, per CREA data.

For emissions to post a decline in 2024 as a whole, there will need to be a 2% reduction in the fourth quarter, Myllyvirta’s calculations show. That’s probable if power demand growth cools as expected and hydro plants perform in line with historical averages, he wrote in a post on X, adding that over the entire summer period, clean energy expansion covered all electricity demand growth.

“If the current downturn in China’s emissions is sustained — with emissions falling in the second quarter and stable in the third quarter — that would open the door to the country beginning to reduce emissions much faster than its current commitments require.

“This would have enormous significance for the global effort to avoid catastrophic climate change, as China’s emissions growth has been the dominant factor pushing global emissions up for the past eight years since the signing of the Paris climate agreement.”

Based on current trends and targets, CREA expects China’s emissions will decline 30% by 2035. The International Energy Agency says emissions will fall 24% by then based only on stated policies, but that could be raised to 45% if the country follows a pathway that’s consistent with its long-term carbon neutrality target.

For the time being, Chinese policymakers are setting relatively unambitious targets, and “it’s vital that future targets reflect ongoing clean energy trends to avoid locking in lower ambitions,” Myllyvirta said."

-via The Progress Playbook, October 29, 2024

[techtoio]

How Artificial Intelligence is Transforming Scientific Research

Introduction No one ever imagined how artificial intelligence would revolutionize scientific research. At TechtoIO, we look into how AI is not just a tool but the driver behind the rapid advancements in many scientific disciplines. That includes how science is being transformed—from better data analysis to catalyzing discovery, such as areas in health, climate science, physics, particle experimentation, and more. Read to continue link...

[jcmarchi]

Can the US really enforce a global AI chip ban?

New Post has been published on https://thedigitalinsider.com/can-the-us-really-enforce-a-global-ai-chip-ban/

Can the US really enforce a global AI chip ban?

When Huawei shocked the global tech industry with its Mate 60 Pro smartphone featuring an advanced 7-nanometer chip despite sweeping US technology restrictions, it demonstrated that innovation finds a way even under the heaviest sanctions. The US response was swift and predictable: tighter export controls and expanded restrictions.

Now, with reports suggesting Huawei’s Ascend AI chips are approaching Nvidia-level performance—though the Chinese company remains characteristically silent about these developments—America has preemptively escalated its semiconductor war to global proportions. 

The Trump administration’s declaration that using Huawei’s Ascend chips “anywhere in the world” violates US export controls reveals more than policy enforcement—it exposes a fundamental fear that American technological dominance may no longer be guaranteed through restrictions alone.

This global AI chip ban emerged on May 14, 2025, when President Donald Trump’s administration rescinded the Biden-era AI Diffusion Rule without revealing details of a replacement policy. 

Instead, the Bureau of Industry and Security (BIS) announced guidance to “strengthen export controls for overseas AI chips,” specifically targeting Huawei’s Ascend processors. 

The new guidelines warn of “enforcement actions” including imprisonment and fines for any global business found using these Chinese-developed chips—a fundamental departure from traditional export controls, which typically govern what leaves a country’s borders, not what happens entirely outside them.

The scope of America’s tech authority

The South China Morning Post reports that these new guidelines explicitly single out Huawei’s Ascend chips after scrapping the Biden administration’s country-tiered “AI diffusion” rule. But the implications of this global AI chip ban extend far beyond bilateral US-China tensions. 

By asserting jurisdiction over global technology choices, America essentially demands that sovereign nations and independent businesses worldwide comply with its domestic policy preferences.

This extraterritorial approach raises fundamental questions about national sovereignty and international trade. Should a Brazilian AI startup be prevented from using the most cost-effective chip solution simply because those chips are manufactured by a Chinese company? 

Should European research institutions abandon promising collaborations because they involve hardware Washington deems unacceptable?

According to Financial Times reporting, BIS stated that Huawei’s Ascend 910B, 910C, and 910D were all subject to the regulations as they were likely “designed with certain US software or technology or produced with semiconductor manufacturing equipment that is the direct product of certain US-origin software or technology, or both.”

Industry resistance to universal controls

Even within the United States, the chipmaking sector expresses alarm about Washington’s semiconductor policies. The aggressive expansion of export controls creates uncertainty beyond Chinese companies, affecting global supply chains and innovation partnerships built over decades.

“Washington’s new guidelines are essentially forcing global tech firms to pick a side – Chinese or US hardware – which will further deepen the tech divide between the world’s two largest economies,” analysts note. This forced binary choice ignores the nuanced reality of modern technology development, where innovation emerges from diverse, international collaborations.

The economic implications prove staggering. Recent analysis indicates Huawei’s Ascend 910B AI chip delivers 80% of Nvidia A100’s efficiency when training large language models, though “in some other tests, Ascend chips can beat the A100 by 20%.” 

By blocking access to competitive alternatives, this global AI chip ban may inadvertently stifle innovation and maintain artificial market monopolies.

The innovation paradox

Perhaps most ironically, policies intended to maintain American technological leadership may undermine it. Nvidia CEO Jensen Huang acknowledged earlier this month that Huawei was “one of the most formidable technology companies in the world,” noting that China was “not behind” in AI development.

Attempting to isolate such capabilities through global restrictions may accelerate the development of parallel technology ecosystems, ultimately reducing American influence rather than preserving it. 

The secrecy surrounding Huawei’s Ascend chips—with the company keeping “details of its AI chips close to its chest, with only public information coming from third-party teardown reports”—has intensified with US sanctions.

Following escalating restrictions, Huawei stopped officially disclosing information about the series, including release dates, production schedules, and fabrication technologies. The chips specified in current US restrictions, including the Ascend 910C and 910D, haven’t even been officially confirmed by Huawei.

Geopolitical ramifications

In a South China Morning Post’s report, Chim Lee, a senior analyst at the Economist Intelligence Unit, warns that “if the guidance is enforced strictly, it is likely to provoke retaliation from China” and could become “a negotiating point in ongoing trade talks between Washington and Beijing.” 

This assessment underscores the counterproductive nature of aggressive unilateral action in an interconnected global economy.

The semiconductor industry thrives on international collaboration, shared research, and open competition. Policies that fragment this ecosystem serve no one’s long-term interests—including America’s. 

As the global community grapples with challenges from climate change to healthcare innovation, artificial barriers preventing the best minds from accessing optimal tools ultimately harm human progress.

Beyond binary choices

The question isn’t whether nations should protect strategic interests—they should and must. But when export controls extend “anywhere in the world,” we cross from legitimate national security policy into technological authoritarianism. The global technology community deserves frameworks that balance security concerns with innovation imperatives.

This global AI chip ban risks accelerating the technological fragmentation it seeks to prevent. History suggests markets divided by political decree often spawn parallel innovation ecosystems that compete more effectively than those operating under artificial constraints.

Rather than extending controls globally, a strategic approach would focus on out-innovating competitors through superior technology and international partnerships. The current path toward technological bifurcation serves neither American interests nor global innovation—it simply creates a more fragmented, less efficient world where artificial barriers replace natural competition.

The semiconductor industry’s future depends on finding sustainable solutions that address legitimate security concerns without dismantling the collaborative networks that drive technological advancement. As this global AI chip ban takes effect, the world watches to see whether innovation will flourish through competition or fragment through control.

See also: Huawei’s AI hardware breakthrough challenges Nvidia’s dominance

Want to learn more about AI and big data from industry leaders? Check out AI & Big Data Expo taking place in Amsterdam, California, and London. The comprehensive event is co-located with other leading events including Intelligent Automation Conference, BlockX, Digital Transformation Week, and Cyber Security & Cloud Expo.

Explore other upcoming enterprise technology events and webinars powered by TechForge here.

[web-knowledge-power]

Understanding Climate Anomalies: A Guide to Unusual Weather Patterns

: Climate anomalies refer to unexpected deviations from typical weather patterns. These anomalies can manifest in various forms, such as heatwaves, prolonged droughts, intense storms, or extreme cold snaps. Understanding these anomalies is crucial for governments, scientists, and individuals alike, as they can have significant impacts on ecosystems, agriculture, and human activities. To…

[hope-for-the-planet]

This is an older article (from 2021), but I'm posting it here because I realize a lot of people don't know this is happening. There seems to be a narrative in certain corners of the internet that we haven't made any measurable progress on climate change at all when the opposite is true--while we need to do more as quickly as we can, we have already significantly moved the needle on the amount of warming in our collective future.

It wasn't all that long ago that it was debated whether it was even possible to meaningfully decouple emissions from economic growth--now it is beginning to happen for several countries and more are headed in that direction.

To compensate for instances where wealthy nations might be "exporting" their emissions to other countries, this data attributes emissions from imported goods to the importing country (and subtracts them from the exporting country).

Here are some graphs from a more recent analysis done in 2024 by the International Energy Agency, where you can see that this is also beginning to happen even in countries seeing rapid development like China and India.

While decoupling at this rate is not sufficient to get where we need to be to properly address climate change (and there is an argument to be made that slowed growth or degrowth may be necessary to fully curb unsustainable emissions and resource consumption especially in wealthier countries) the fact that it's happening at all shows remarkable progress beyond what many expected to be possible not so long ago.

[theonion]

Citing leading economic indicators for its robust forecast of the nation’s fiscal climate, a new report released Tuesday by the U.S. Bureau of Economic Analysis found that the prevailing financial expansion will only continue and the economy will be invincible forever this time. “All available data tell us that the once-cyclical nature of the markets has stabilized, and the booming economic growth, low unemployment rates, and manageably slow rates of inflation that the country is currently enjoying are, in fact, unalterable and permanent,” said Herman Dale, lead author of the study, who noted that all marketplace uncertainty and instability are now behind us, as the current metastable economy will generate hundreds of thousands of new jobs and solid returns on all investments for the foreseeable future.

Full Story

[probablyasocialecologist]

The vast majority (99%) of the 281,000 metric tonnes of carbon dioxide (CO2 equivalent) estimated to have been generated in the first 60 days following the 7 October Hamas attack can be attributed to Israel’s aerial bombardment and ground invasion of Gaza, according to a first-of-its-kind analysis by researchers in the UK and US. According to the study, which is based on only a handful of carbon-intensive activities and is therefore probably a significant underestimate, the climate cost of the first 60 days of Israel’s military response was equivalent to burning at least 150,000 tonnes of coal. The analysis, which is yet to be peer reviewed, includes CO2 from aircraft missions, tanks and fuel from other vehicles, as well as emissions generated by making and exploding the bombs, artillery and rockets. It does not include other planet-warming gases such as methane. Almost half the total CO2 emissions were down to US cargo planes flying military supplies to Israel. Hamas rockets fired into Israel during the same period generated about 713 tonnes of CO2, which is equivalent to approximately 300 tonnes of coal – underscoring the asymmetry of each side’s war machinery.

[...]

David Boyd, the UN special rapporteur for human rights and the environment, said: “This research helps us understand the immense magnitude of military emissions – from preparing for war, carrying out war and rebuilding after war. Armed conflict pushes humanity even closer to the precipice of climate catastrophe, and is an idiotic way to spend our shrinking carbon budget.”

[...]

Even without comprehensive data, one recent study found that militaries account for almost 5.5% of global greenhouse gas emissions annually – more than the aviation and shipping industries combined. This makes the global military carbon footprint – even without factoring in conflict-related emission spikes – the fourth largest after only the US, China and India.